Remote 💻 Development Jobs

Senior ML Engineer (JoomPro/Marketing Automation)

We are looking for Senior ML developers to join our teams:

Marketing Automation team

Responsible for automating marketing and optimizing its effectiveness. We are responsible for both external marketing (advertising purchases) and internal marketing (direct communications via push notifications/emails). We provide the infrastructure and tools for effective marketing.

• Tech stack: Spark, Scala, Python, Airflow, Go

JoomPro

First and only end-to-end cross-border B2B marketplace. Serves small, medium, and large businesses, handling orders of any size from start to finish. Focus on improving core search algorithms, enhancing the recommendation system’s understanding of user queries, and increasing the relevance of products returned for those queries.

• Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins

Responsibilities

• Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries
• Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code
• Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production

Preferred

• Experience in developing recommendation or search systems
• Experience training neural network models
• Experience working with various data sources: Spark, Cassandra, Mongo, Kafka
• Knowledge of Go

We offer

• Compensation package: base salary and performance-based bonuses
• Office-first: flexible hours with a possibility to work remotely 52 days per year
• Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
• Relocation Support: full assistance for a smooth relocation for the employees and their family
• Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
• Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

Middle IOS Developer

You will

• develop and maintain the application's features;
• be responsible for the stability of the applications and the completing  tasks in a timely manner;
• develop modern interfaces that help improve the user experience;
• improve app performance and other technical metrics.

You

• have developed mobile applications, including experience in commercial development > 2 years
• know the modern principles of mobile application architecture;
• know and are able to apply the principles of multithreaded programming.

Product stack

• Combine
• SwiftUI
• Firebase
• AWS
• CoreData
• Legacy (Swift)

We Offer

• Remote work and flexible working hours;
• Career and professional growth;
• Employee Stock Option plan
• Possible relocation to the USA or Taiwan
• Salary in USD

Position overview

We are seeking an experienced MLOps Engineer with deep expertise in cloud services such as Azure ML and AWS SageMaker, providing end-to-end MLOps operations and services. The successful candidate will cover the entire ML lifecycle, including developing/writing pipelines for model development, preparing training data, training models, deploying models, and monitoring and testing models in production.

Additionally, this role requires LLMOps experience, particularly in deploying open-source LLM models such as Llama, Mistral, R1.

This role will also involve experimenting with different ML/LLM models, calculating and monitoring evaluation metrics, and providing the best AI solutions for various marketplace-related tasks, such as product category classification, product data enrichment, dynamic price optimization, price and demand forecasting,

Technologies

• MLOps and Cloud Services – Azure ML Studio, AWS SageMaker, MLflow, Databricks
• Containerization and Orchestration – Docker, Kubernetes
• Model Monitoring and Deployment – BentoML, Ollama, Hugging Face
• LLMOps Tools and Libraries – vLLM, LiteLLM, LangChain, Langfuse
• CI/CD and Workflow Automation – Gitlab, Azure DevOps

Responsibilities

• MLOps and ML Lifecycle Management: Develop and optimize MLOps pipelines for scalable model development and deployment. Automate model training, deployment, monitoring, and testing workflows. Manage data pipelines, ensuring efficient training data preparation. Implement model performance tracking and versioning using MLflow
• LLMOps and Large-Scale AI Deployments: Deploy and fine-tune open-source LLM models for various business use cases. Utilize vLLM, LiteLLM, BentoML, Ollama for optimized LLM inference and deployment. Monitor and evaluate LLM performance across different metrics including latency, accuracy, and cost-effectiveness
• AI Solutions for Marketplace Optimization: Develop AI-based solutions for product category classification and product data enrichment. Implement dynamic price optimization models and forecast price and demand trends. Build AI systems to select optimal recommerce channels for selling products, based various business factors, including price seasonality and inventory costs.

Requirements

• MLOps expertise: End-to-end ML pipelines (Azure ML, AWS SageMaker, MLflow), Docker, Kubernetes, CI/CD for ML.
• LLMOps experience: Deploying open-source LLMs (Llama, Mistral, R1), optimizing LLM inference, RAG, fine-tuning.
• Software engineering: Python, ML frameworks (PyTorch, TensorFlow), microservices, data pipelines.
• Problem-solving: Evaluating and fine-tuning ML/LLM models, tracking metrics, optimizing AI solutions.
• This position offers a unique opportunity to work at the intersection of MLOps, LLMOps, and AI-driven business solutions
• If you have the technical depth and passion for building scalable, production-grade AI solutions, we encourage you to apply!

Benefits

• Velvetech is in the TOP 5 development companies in Illinois, USA
• You have FLEXIBLE working conditions and a COOPERATIVE environment
• Competitive salary
• Many CHALLENGING and exciting projects with new opportunities and learning
• GROWTH opportunities, skills and competencies improvement, and professional certification
• In-company TRAINING (English, Software / DevOps / Project management / Design / Business)

Our team

We are a friendly team of 150+ professionals where everyone is able to achieve high results and grows professionally not only due to their own knowledge and skills but also with the support of colleagues. Values that we highly appreciate are high performance, responsibility, respect, and loyalty. In order to have a highly motivated team, Velvetech invests in their people, additional education, certification, and others. You choose your career path and we are here to support you!

People work together in harmony, encouraging each other to continuously learn, progress, and pursue perfection. Our employees enjoy working as we turn challenges into advantages to share success with each other.

You have a chance to become a part of a friendly and professional team that creates robust software solutions to deliver maximum value to our international clients!

Tech stack

Go, MongoDB, Redis, Kafka, Amazon AWS, Docker, Kubernetes, Elasticsearch

Responsibilities

• Come up with architecture
• Program in Go (Go is not a must for us; it is more important for a successful candidate to have solid algorithm skills, fundamental technical knowledge, and great coding skills in general)
• Provide fault tolerance for coded services in an AWS environment
• Be prepared for a constant increase of processed and stored data loads and volumes
• Participate in new feature and product development discussions
• Managing and mentoring a backend team of 3–6 developers

Requirements

• Experience in leading and developing a backend team by recruiting, hiring, and training new team members
• Confident knowledge of any of the programming languages: Go/Java/Kotlin/C++/Python/Scala
• Complex project development experience
• Excellent algorithmic training
• Experience in development for Linux / Unix

Preferred

• Experience with highload
• Experience with MongoDB
• Experience with Kubernetes

We offer

• Compensation package: base salary and performance-based bonuses
• Office-first: flexible hours with a possibility to work remotely 52 days per year
• Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
• Relocation Support: full assistance for a smooth relocation for the employees and their family
• AI-first approach: licenses and access to a wide range of AI tools
• Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
• Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

Senior Snowflake Data Engineer

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

Responsibilities

• In-depth knowledge of Snowflake's data warehousing capabilities.
• Understanding of Snowflake's virtual warehouse architecture and how to optimize performance and cost.
• Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
• Develop and optimize complex SQL scripts, stored procedures, and data transformations.
• Work closely with data analysts, architects, and business teams to understand requirements and deliver reliable data solutions.
• Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics.
• Integrate data from various sources including APIs, flat files, relational databases, and cloud services.
• Ensure data quality, data governance, and compliance standards are met.
• Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and associated tools.
• Participate in code reviews, testing, and deployment of data solutions in development and production environments.

Skills

Must have

• 5+ years of experience
• Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
• Ability to write complex SQL queries, stored procedures, and user-defined functions.
• Skills in optimizing SQL queries for performance and efficiency.
• Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran or similar tools for real-time and periodic data processing.
• Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
• Strong understanding of data security, compliance and governance.
• Experience with DBT for database object modeling and provisioning.
• Experience in version control tools, particularly Azure DevOps.
• Good documentation and coaching practice.

Nice to have

• experience with AWS Lambda, particularly in utilising Python to develop data extraction functionalities.
• ability to retrieve data from platforms like SharePoint or Salesforce and transfer it to an S3 bucket

Other

• Languages: English: B2 Upper Intermediate
• Seniority: Senior

What you'll do / who you are

• Design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP.
• Collaborate with cross-functional teams to deliver reliable data solutions.
• Contribute to data governance, security, and RBAC within Snowflake-based environments.

Tech stack / team description

• Snowflake, Snowpipe, RBAC, data warehousing concepts
• SQL, stored procedures, user-defined functions
• DBT, Python
• ETL/ELT tools: Snowpipe, AWS Glue, openflow, Fivetran
• CI/CD practices, Azure DevOps
• Data modeling: OLTP, OLAP, Data Vault 2.0
• APIs, flat files, relational databases, cloud services integration

Graduate software engineer

Location: Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries. Permanent or fixed-term.

A few examples of your responsibilities

• Build software that matters. Take real ownership from idea to production, creating systems used by millions and evolving them into products at scale.
• Amplify your impact with AI. Integrate the most powerful AI tools directly into your development workflow—design, implementation, testing, and documentation—to move faster while maintaining high standards for correctness, reliability, and maintainability.
• Master your toolkit. Work across diverse stacks with end-to-end ownership, choosing the right technologies for each challenge. From monoliths to microservices, gRPC to REST, Kubernetes to Docker, Python to Rust—you’ll apply technologies thoughtfully, focusing on depth and purpose rather than trends.
• Simplify relentlessly. Question every layer of complexity. Improve architectures, pipelines, and codebases to build systems that are simpler, more scalable, and easier to maintain.

What we look for

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.

What we offer

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We hire individuals of outstanding potential and position them to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location.
• A flexible start date and part-time options. You don’t need to wait until graduation to apply. Start dates can be flexible and part-time transitions are possible.
• Competitive pay and access to company equity at a discount. Salary ranges in London and elsewhere in Europe are provided.

The selection process

Screening based on verifiable signals of excellence. All applications go through our careers page. You may perform one or more tests. More details available in the process document.

Before you apply

We expect you to spend most days in our Milan office during your first months. We support travel and accommodation. After that, you can work from any approved location.

Description

We're looking for an experienced full-stack JavaScript developer to join our client delivery team. You’ll work directly with both startups and established companies in Europe and the US - scoping work, gathering requirements, creating specs, and switching between projects and stacks as needed.

Tasks

• Build and maintain full-stack applications for multiple clients
• Communicate with clients directly in English
• Provide estimates, clarify requirements and manage expectations

Must-have

• 3+ years of commercial experience
• Strong in JavaScript and Node.js, comfortable learning new stacks
• Experience with relational databases, PostgreSQL preferred
• Good written and spoken English
• Ability to work independently in an unstructured environment
• Strong critical thinking and multitasking abilities

Nice-to-have

• TypeScript, React, React Native or Ruby on Rails
• Experience using AI coding tools such as Claude Code, OpenAI Codex, Cursor or GitHub Copilot or willingness to learn

Benefits and conditions

• Fully remote work
• Flexible hours
• Part-time option
• Opportunity to learn from highly senior engineers

Interview process

1. Intro call with recruiter
2. Technical interview
3. Culture fit interview

Data Architect

- Seniority: Architect

- We are looking for an experienced Data Architect to design, implement, and manage scalable data architectures, with a primary focus on Snowflake. You will lead efforts to develop data models, integrate data from various sources, and optimize the performance of our data infrastructure. The role involves working closely with cross-functional teams to ensure data solutions align with business goals and comply with governance and security standards.

Key responsibilities

• Design and maintain scalable data architecture on Snowflake.
• Develop and optimize ETL/ELT pipelines and data integration processes.
• Ensure data security, governance, and compliance with regulations (e.g., GDPR).
• Collaborate with stakeholders to understand data requirements and deliver solutions.
• Continuously monitor and improve data performance in Snowflake

Qualifications

• Proven experience as a Data Architect.
• Expertise in SQL, data modeling, and cloud environments (AWS, GCP, Azure).
• Knowledge of ETL tools (e.g., Apache Airflow, DBT) and programming languages like Python.
• Strong understanding of data governance, security, and best practices

What we offer

• Involvement in dynamic projects with cutting-edge technology.
• A collaborative and supportive team culture.
• A flexible work environment.
• A comprehensive benefits package tailored to your preferences

Senior Software Quality Manager

Hybrid

Full-time

Armenia

Job summary

BostonGene is redefining cancer patient care and drug development through the integration of omnimodal data and artificial intelligence. Built and validated through an extensive real-world clinical testing network, BostonGene’s foundation model for tumor and immune biology integrates genomic, transcriptomic, and immune data with clinical outcomes to generate biologically grounded, actionable insights. These insights enable biopharma partners to design and de-risk trials, identify novel targets, and optimize therapeutic response prediction across all stages of development while simultaneously improving patient care through clinically integrated innovation. For more information, visit www.BostonGene.com.

We are seeking a Senior Software Quality Assurance Manager to coordinate the Software Quality Assurance (SQA) program and Computer System Validation (CSV) strategy for regulated software systems supporting medical devices and laboratory operations. This role is responsible for establishing and maintaining scalable quality and validation frameworks to ensure compliance with applicable regulatory and internal requirements.

The ideal candidate will define and drive software quality processes across the Software Development Lifecycle (SDLC), including validation planning, risk management, and documentation practices. This position partners cross-functionally with Product, Software Development, and QA/RA teams to ensure systems are developed, validated, and maintained in a compliant and audit-ready state within HealthTech, MedTech, and Biotech environments.

Responsibilities

• Coordinate the Software Quality Assurance (SQA) program and Computer System Validation (CSV) strategy for regulated software systems supporting medical devices, laboratory systems, and bioinformatics pipelines;
• Define and implement software quality and validation frameworks across the Software Development Lifecycle (SDLC), ensuring alignment with applicable regulatory requirements (e.g., ISO 13485, GxP, IEC 62304, 21 CFR Part 11);
• Ensure integration of risk management practices into software development and lifecycle processes in accordance with ISO 14971;
• Establish and maintain processes for software verification and validation, including test strategy, test planning, execution oversight, and defect management;
• Partner cross-functionally with Product, Software Development, QA/RA, and other stakeholders to ensure medical device software, laboratory systems, and bioinformatics pipelines are developed, validated, and maintained in a compliant and audit-ready state;
• Support audit readiness and regulatory inspections by ensuring completeness, accuracy, and traceability of software quality and validation documentation;
• Coordinate with cross-functional teams and provide subject matter expertise on software quality assurance and validation practices, including considerations for AI/ML-based systems;
• Ensure software-related documentation and records are complete, accurate, and maintained in accordance with QMS requirements.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Life Sciences, or a related field;
• Minimum of 5–7 years of experience in software quality assurance, software validation, or a related role within a regulated environment, preferably supporting medical devices, laboratory systems, or bioinformatics pipelines;
• Deep expertise in applicable regulatory requirements and standards, including IEC 62304, ISO 13485, 21 CFR Part 11, and GxP;
• Strong understanding of Software Development Lifecycle (SDLC), Computer System Validation (CSV), and risk management principles (e.g., ISO 14971);
• Experience defining or implementing software quality or validation frameworks is preferred;
• Familiarity with validation and quality considerations for laboratory systems and bioinformatics pipelines, including data integrity, traceability, and reproducibility, is preferred;
• Familiarity with AI/ML-based systems and related validation considerations is preferred;
• Solid understanding of cybersecurity principles and cybersecurity testing practices is preferred;
• Strong analytical, problem-solving, and communication skills, with the ability to translate technical and regulatory risks into business-relevant terms;
• Fluent in English and Russian, both written and spoken.

Our offering

Why Join Us?

Join our team at BostonGene, where your work makes a real difference! As a pioneering biotech company with a global footprint, we're passionate about improving lives through groundbreaking oncology personal healthcare. With a team of over 500 dedicated professionals, we foster an empowering environment where your unique skills contribute to a healthier, better world. At BostonGene, you're not just choosing a career; you're stepping into a role that leverages your talents to create a positive change. Discover a workplace that values you as its most precious asset, offering a competitive benefits package designed to enhance your life and those around you.

We offer:

• Full-time position with a permanent contract, flexible working hours, and hybrid work format.
• Relocation package to Yerevan for candidates and their immediate family members, including full support with documentation and bureaucracy (bank accounts, residence permit, school contacts, etc.).
• Competitive salary and comprehensive health insurance.
• Corporate benefits: English language courses, gym plan, and office snacks.
• Convenient office location in Yerevan within a 1-minute walk from the metro.
• Structured onboarding, mentorship, and a supportive professional environment.
• Opportunity to work in a multidisciplinary team of bioinformaticians, biologists, physicians, and software engineers developing cutting-edge precision oncology solutions.

THE ROLE AND THE TEAM

The

In this role, you will lead the development of mission-critical microservices, ensuring they are resilient, secure, and cost-efficient. You will work within an agile, cross-functional team of engineers and product managers where technical excellence is balanced with business impact. At ZEOS, seniority means taking a holistic view of our system landscape—mentoring your peers, driving technical alignment across teams, and ensuring that our "You Write It, You Run It" culture is lived every day.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Engineer Scalable Backend Systems: Design, develop, and evolve high-performance Microservices using Java and Spring Boot, ensuring they handle the complexities of a global B2B landscape.
• Design Intuitive APIs: Help us build RESTful services that prioritize clarity and ease of use, ensuring a seamless experience for every developer who interacts with our platform.
• Own the Full Lifecycle: Support the "You Write It, You Run It" philosophy. You will be responsible for the entire journey of your code—from initial design and Gradle-based builds to deployment and 24/7 operational health.
• Master Cloud Infrastructure: Leverage AWS and Kubernetes to build resilient, distributed systems that are compliant-by-design and operationally transparent.
• Drive Engineering Standards: Set the bar for code quality through rigorous testing, code reviews, and the use of modern tools like Jackson for efficient data processing.
• Collaborate Across the Stack: While your heart is in the backend, you enjoy collaborating with frontend teams and have an interest in Fullstack contexts to ensure end-to-end feature success.
• Mentor and Guide: Actively share your knowledge within the team and across the ZEOS community, helping to navigate technical uncertainty and architectural trade-offs.

WE'D LOVE TO MEET YOU IF

• Seasoned Java Developer: You are a seasoned Java Developer with deep expertise in Spring Boot and a strong grasp of the modern JVM ecosystem (including build tools like Gradle).
• Thoughtful Architect: You have extensive experience in Microservice architectures, distributed systems, and designing clean, versioned REST APIs.
• Cloud Native Contributor: You are proficient in deploying and operating applications within AWS and are comfortable navigating Kubernetes environments.
• Quality-Minded Practitioner: You are highly skilled in building CI/CD pipelines and believe that automated testing and observability are fundamental to "Senior" level engineering.
• Agile Partner: You thrive in agile environments, taking ownership of complex topics and moving them from discovery to production with an analytical and solution-oriented mindset.
• Effective Communicator: You possess excellent English skills and the ability to translate technical complexity into actionable plans for both engineers and stakeholders.
• Fullstack-Curious: You have an interest in how the frontend consumes your services and are happy to jump across the stack to help the team deliver a cohesive product.

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• 27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
• 2 paid volunteering days a year
• Hybrid working model with up to 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Wellhub, formerly Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review

THE ROLE AND THE TEAM

Senior iOS Developer (Swift/Objective-C) - Remote Position

We're seeking an accomplished Senior iOS Developer to become an integral part of our innovative development team. In this fully remote role, you'll architect, build, and maintain sophisticated iOS applications utilizing Swift and Objective-C. The ideal candidate possesses at least 3 years of hands-on mobile development experience and demonstrates unwavering commitment to crafting exceptional user experiences across Apple's ecosystem.

Key Responsibilities

• Design and develop native iOS applications leveraging Swift 5.9+ and Objective-C frameworks.
• Create clean, maintainable code adhering strictly to SOLID, KISS, and DRY principles.
• Collaborate with cross-functional teams to conceptualize, design, and ship new features.
• Identify performance bottlenecks and resolve bugs to enhance application responsiveness.
• Maintain code quality and organization through meticulous Git version control practices.
• Implement responsive user interfaces that align precisely with design specifications.
• Integrate RESTful APIs and third-party services into mobile applications seamlessly.
• Perform thorough peer code reviews and provide constructive feedback to team members.
• Stay current with the latest iOS development trends, tools, and methodologies.
• Contribute to technical documentation and knowledge sharing within the team.

Required Skills & Qualifications

• 3+ years of professional iOS application development experience with a demonstrable portfolio.
• Strong proficiency in both Swift (5.0+) and Objective-C programming languages.
• Comprehensive understanding of iOS SDK, UIKit, and contemporary iOS features.
• Practical application of SOLID, KISS, and DRY principles in mobile development projects.
• Experience with Git for version control and collaborative development workflows.
• Proficiency with Xcode IDE and iOS simulators for efficient development cycles.
• Knowledge of RESTful APIs and JSON data structure parsing.
• Understanding of concurrent programming paradigms and memory management techniques.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• Excellent problem-solving capabilities coupled with meticulous attention to detail.

Nice to Have

• Experience with SwiftUI for creating modern, fluid user interfaces.
• Familiarity with Core Data frameworks for sophisticated local data persistence.
• Expertise writing comprehensive Unit and UI tests using XCTest framework.
• Understanding and implementation of architectural patterns (MVC, MVVM, VIPER, Clean Swift).
• Experience with dependency managers such as CocoaPods and Swift Package Manager.
• Knowledge of CI/CD pipelines specific to iOS application development.
• App Store submission and review process experience.
• Contributions to open-source projects or personal GitHub repositories.
• Proficiency with Reactive programming paradigms (RxSwift or Combine).
• Understanding of BLE connectivity, push notification systems, and background processing.

Why Join Us

Become part of our forward-thinking team and contribute to innovative projects while enjoying the freedom to work from anywhere across the globe. We foster a collaborative environment where you can expand your technical expertise, work with cutting-edge technologies, and make a substantial impact. Our flexible work arrangements, competitive compensation package, and commitment to professional growth make this an exceptional opportunity for passionate iOS developers seeking to advance their careers in mobile technology.

What you'll own

• The product. A brand-new product line, yours to define — what we intercept, what we don't, what the customer-visible surface looks like.
• The technical approach. Instrumentation strategy, deployment shape, programming language — all open. You'll consult with our architects but the direction is yours.
• Implementation, end to end. You'll have the full tooling stack we provide — LLM subscriptions, modern dev infrastructure, the works. Use what makes you fast.
• Methodology. How you build conviction in your detection logic — your call.
• Cross-layer signal. Our existing stack produces threat intelligence at unmatched scale: tens of millions of monitored sites, petabyte-scale malware sample storage, real-time domain and URL reputation, IP-level attack feeds. These are available for you to plug into. Use what helps.

How we'll measure success

The product is held to four numbers: runtime overhead, false positives, false negatives, and customer-escalation volume. They reflect what hosting providers and their customers care about. Hit them well and the product runs inside a meaningful slice of the modern Node.js web.

What we're looking for

An experienced researcher or engineer who can build and iterate on a brand-new product, driving both the research and the development. The hard part of this work is knowing what's malicious, what's vulnerable, and what's just an unusual but legitimate pattern — and being right about it across the long tail of frameworks, libraries, and customer code we'll encounter in production.

Requirements

• Familiarity with the Node.js runtime and the JavaScript ecosystem.
• Strong web application security fundamentals and current knowledge of practical exploitation.
• A working sense of how detection rules behave at scale — what catches attackers without flagging the long tail of legitimate code.
• Ability to start as the PM, architect, lead engineer, and QA for this product. You ask for resources or help when you need them; you don't wait to be told what to do.

• Comfort directing AI coding agents to high-quality output — most of our engineering does this now.
• Prior work on runtime-protection products, application firewalls, or instrumentation tooling.
• Background in malware analysis or incident response.
• Familiarity with managed-hosting environments.
• Public security research, vulnerability disclosures, or detection rulesets you've authored.

What it's not

• Not a scope-and-handoff role — you drive the work and own the outcome.
• Not a "platform team will productize this later" role — you ship to real customer fleets and watch the telemetry quickly.
• Not a spec-and-review role — you are hands-on every day.

Why this matters

Most managed-hosting customers are not developers. They cannot patch their apps. They cannot audit their dependencies. They will keep deploying vulnerable code from AI assistants because that's how modern web apps get built now. The textbook advice — "secure your code, audit your dependencies" — does not apply to them.

If we don't intercept exploits at runtime, nobody will. The numbers you hit on detection, performance, and false positives will materially affect how much of the modern web stays online when the next exploit class drops.

Engineering Manager, Identification Accuracy

The Role

Do you thrive at the intersection of people leadership and applied machine learning? Do you get excited about building and mentoring multidisciplinary teams — ML engineers, data scientists, analysts, and analytics engineers — working together to solve some of the hardest problems in fraud detection?At Fingerprint, the Identification Accuracy team is the engine behind the ML model powering our Identification API — Fingerprint's flagship product. This team is responsible for the accuracy, reliability, and continuous improvement of that model, directly impacting the trust our enterprise customers place in our platform.We are looking for an Engineering Manager to lead this team. In this role, you will foster a culture of high performance and scientific rigor, helping a diverse set of technical contributors grow while driving the roadmap that keeps Fingerprint's identification accuracy best-in-class.

What You'll Do

• Lead and grow the Identification Accuracy team — a multidisciplinary group of ML Engineers, Data Scientists, Analysts, and Analytics Engineers — fostering psychological safety, technical excellence, and a culture of continuous improvement.
• Own the team's roadmap in close partnership with senior engineering leadership and cross-functional stakeholders, driving innovative solutions to identification-specific challenges and continuously raising the bar on model quality.
• Drive model accuracy outcomes by enabling your team to design, train, evaluate, and ship ML models that improve identification accuracy at scale across billions of devices.
• Build bridges across the organization — partnering closely with the Identification Engineering team (who operates the API your models power) as well as Product, and customer-facing teams to translate customer needs into technical priorities.
• Communicate effectively across technical and non-technical audiences, translating model performance and roadmap tradeoffs into language that resonates with business stakeholders and executive leadership.

Requirements

• Minimum of 2 years of experience in a leadership role in a ML or data science team in an agile, fast-paced environment.
• At least 5 years of professional experience in software engineering, machine learning, or a related technical discipline.
• Demonstrated ability to lead technical teams that ship production ML systems — from data pipelines and feature engineering through model training, evaluation, and deployment.
• Proven track record of building and developing high-performing, multidisciplinary teams including engineers, data scientists, and/or analysts.
• Strong communication skills with the ability to translate complex model behavior, data quality issues, and technical tradeoffs to both technical teammates and non-technical stakeholders.
• Demonstrated success driving outcomes in fast-moving, scaling environments where priorities evolve and ambiguity is the norm.

Preferred Qualifications

• Experience managing teams that work with large-scale behavioral or event data in a production setting.
• Familiarity with ML infrastructure and MLOps tooling — experiment tracking (e.g., MLflow), feature stores, model registries, and CI/CD pipelines for ML.
• Background in fraud detection, identity, or trust & safety domains is a plus but not required.
• Hands-on experience with data stack technologies such as dbt or similar analytics engineering tooling.
• Comfort working closely with platform and API engineering teams to understand downstream requirements and latency constraints.

Compensation Range

For US-based employees, the cash compensation range for this role is $159,000 – $215,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.

Salesforce Developer / Consultant

We are on the lookout for a proficient Salesforce Developer / Consultant to join our esteemed team. In this role, you will be responsible for developing and implementing Salesforce solutions, providing consulting services to our clients, and contributing to interesting IT projects. Your daily duties will be varied and challenging, ranging from coding and customizing Salesforce systems, to troubleshooting, and providing technical support. This is an excellent opportunity to develop your skills, work on stimulating projects, and make a significant impact on our clients’ businesses.

What You’ll Do

• Develop and implement Salesforce solutions
• Provide consulting services to clients
• Code and customize Salesforce systems
• Troubleshoot and provide technical support
• Contribute to interesting IT projects

Requirements

• Proven experience as a Salesforce Developer / Consultant
• In-depth knowledge of Salesforce systems
• Proficiency in coding and troubleshooting
• Excellent problem-solving skills
• Strong communication and consulting skills

What We Offer

• Competitive salary range
• Fully remote work
• A culture that values diversity and inclusion
• Opportunity to work on interesting IT projects
• Continuous professional development opportunities

Who You Are

Seniority: Junior, Mid, Senior

Work model: Remote

Tech Stack

Not specified

Team Description

Not specified

THE ROLE & THE TEAM

As a Principal Software Engineer in Zalando’s Customer Care (CuCa) Tech department, you will be the primary architect of our transformation from traditional service models to AI-powered automated resolution. You will move beyond a single team's scope to provide hands-on technical leadership for the entire department.

Your mission is to define the architecture for systems where complex AI models meet customer-facing production environments. You will ensure that automated intelligence handles high-volume customer queries monthly while maintaining a seamless "human-in-the-loop" fallback for complex cases. You will be the go-to expert for Product and Engineering Management, ensuring our technology roadmap directly supports the next generation of automated customer care.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• System Architecture for AI: Own and drive the technical design for large-scale projects that integrate Python-based AI/ML microservices into our production environment.
• Applied Science Collaboration: Partner with Applied Scientists to move experimental models into reliable, high-performing production services at Zalando scale.
• Strategic Automation: Design and execute technical improvements for intelligent query routing and automated response workflows that impact the long-term (2-3 year) strategic vision.
• Engineering Excellence & MLOps: Act as a guardian of Operational Excellence, conducting architecture and production readiness reviews to ensure AI systems are observable and scalable.
• Technical Leadership & Mentoring: Lead other Engineers across the department, enabling them to deliver complex features and proactively supporting their growth.
• Innovation & Standards: Proactively contribute to setting engineering standards for AI productionization (MLOps) and influence our internal Tech Radar.

WE'D LOVE TO MEET YOU IF…

• Pyth on & Engineering Expertise: You are a recognized expert in Python with a deep understanding of software design, data modeling, and distributed systems.
• AI/ML Productionization at Scale: You have a proven track record of deploying AI models into production and managing the technical debt associated with high-volume AI applications.
• Complex Problem Solving: You can decompose highly ambiguous AI requirements into clear technical designs that balance business value with technical constraints.
• Department-Level Impact: You have experience leading cross-team projects and managing dependencies across multiple delivery teams.
• Communication & Alignment: You can explain complex AI technical concepts to non-specialists and Senior Management to drive decision-making.
• Community & Talent: You are an active member of the engineering community and act as a Talent Champion for hiring and developing senior talent.

OUR OFFER

• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with 60% remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching are available

WHO WE ARE

Inclusion: Inclusive by design. We do not discriminate and welcome all qualified candidates. We provide accommodations upon request.

Staff Machine Learning Engineer, Audio - Singapore Efficiency Team

Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played PC game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. Riot’s Singapore Efficiency team builds the technology that lets our creative teams do their best work. In audio, a lot of a sound designer’s day goes to repetitive editing, processing, and asset management rather than to the sound design itself, and that is the gap we want to close. You will be reporting to the Senior Manager, Machine Learning Engineer. As a Staff Machine Learning Engineer, Audio , you’ll build tools that handle the tedious and technical parts of audio production so sound designers and audio teams can focus on the craft of sound.

What you'll do

• Build assistive audio tooling, drawing on audio processing, voice/speech, and music techniques, to remove repetitive and technical steps from the sound designer’s workflow.
• Partner with sound designers and audio engineers to target costly authoring and editing work and ship tooling that shortens it.
• Define and run evaluations for audio quality and quantify the time returned to audio teams.
• Follow developments in audio and speech ML and judge what holds up under production constraints.

Who you are

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
• Audio specialization: Deep, proven expertise in audio ML, covering generative audio, neural vocoders, text-to-speech/voice conversion, music modeling, and audio representation learning.
• At least 5 years of experience applying Machine Learning to real-world problems, with a demonstrated record of delivering impactful, end-to-end ML solutions in Audio in a fast-paced environment.
• Evidence of working on state-of-the-art approaches, demonstrated through peer-reviewed publications (e.g. ICASSP, INTERSPEECH, ISMIR, NeurIPS, ICML, ICLR) and/or shipped projects, open-source contributions, or production systems in Audio that pushed the technical frontier.
• Proficiency in programming languages such as Python, C, C++, or C#, and strong hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX.
• Strong understanding of statistical analysis, experimental design, and evaluation techniques.
• Deep, hands-on experience with Generative Models, including audio diffusion and flow matching models, VAEs, and autoregressive/transformer models for waveform or spectrogram modeling, applied to building artist-assistive tools and accelerating technical steps in the audio pipeline.
• Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Leadership experience, including mentoring junior team members and interns and driving cross-functional collaboration, is highly desirable.

Desired Qualifications

• Experience working in the gaming industry or a related field is a plus.
• For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Perks

• Full relocation support
• Full health insurance for you, your spouse and children
• Open paid time off
• Retirement benefits with company matching
• Life insurance, parental leave, plus short-term and long-term disability
• Play Fund so you can broaden and deepen your knowledge of our players and community through games
• We will double down on your donations of time and money to non-profits

Responsibilities

• Collaborate with cross-functional and cross-domain teams to gather requirements, design solutions, and deliver features
• Design, develop, and maintain backend systems using PHP and MySQL(or similar), ensuring they are scalable and maintainable
• Implement and optimize complex features with a focus on clean, reusable, and efficient code
• Write unit tests to ensure the reliability and scalability of code
• Participate in code reviews, architecture discussions, and ensure adherence to best practices in software development
• Monitor and troubleshoot production systems, ensuring the highest levels of availability, performance, and security
• Share on-call duties with the team to ensure smooth operations of the systems in production
• Stay updated with new technologies and trends, and introduce them where appropriate to enhance system performance and maintainability

Requirements

• Experience (5+ years) in object-oriented PHP and modern PHP tools and practices: SOLID, KISS, etc.
• Good knowledge of the latest versions of Laravel framework
• Strong understanding of relational databases like MySQL/PostgreSQL including transaction management
• Experience in database query optimization, analysing deadlocks and db performance
• Experience in designing, implementing, and maintaining message-driven services using Apache Kafka (or other message broker)
• Experience with monitoring tools (Prometheus, Grafana or similar)
• Experience with security best practices
• Working with Docker/Docker Compose on a daily basis
• You understand Agile values and principles
• Good level of spoken and written English (B1+) and Russian

Nice to have

• Understanding crypto industry
• Experience with Go

Why join CryptoProcessing by Coinspaid

You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.

At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.

We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.

Benefits & Perks

• Flexible Benefits
• Benefit Bar – up to €230/month
• Fully remote work from almost anywhere
• Optional offices and relocation support
• Flexible, async-friendly environment
• Budget for courses, certifications, and professional development
• Language learning support
• Cross-team learning and knowledge sharing
• Medical insurance or reimbursement depending on location
• Access to mental health support
• Financial support for important life events
• Merch shop with rewards system
• Team offsites and company events

How to apply

To apply, please visit the provided Lever job link.

Responsibilities

• Own major product components and workstreams throughout their full lifecycle, from initial discovery and planning to production release and ongoing improvement.
• Work directly with engineering, product, sales, and other stakeholders to understand, gather, and clarify business and technical requirements.
• Translate broad and sometimes unclear product goals into technical plans, milestones, and actionable engineering tasks.
• Design scalable system architecture and make technical decisions for high-impact product areas.
• Build, review, and maintain production-grade components end-to-end, ensuring reliability, security, performance, maintainability, and extensibility.
• Take responsibility for delivered components in production and their continued operation and evolution.
• Independently track progress and proactively communicate results, blockers, risks, dependencies, and changing requirements.
• Research relevant technologies, tools, market approaches, and competitor solutions when needed.
• Contribute to engineering quality through design reviews, technical guidance, mentorship, and best practices.

Requirements

• Proven experience owning major projects or workstreams end-to-end.
• Strong backend engineering experience in Python.
• Comfortable reading and reviewing C language code.
• Strong hands-on Linux background.
• Strong system design and architectural thinking, combined with the ability to implement proposed solutions hands-on.
• Experience gathering and refining requirements and turning broad or unclear needs into technical plans, milestones, and deliverables.
• Strong technical product ownership and an understanding of how engineering decisions support broader product and business goals.
• Ability to work independently without close day-to-day supervision.
• Strong communication skills and confidence working directly with engineering teams, product stakeholders, sales, and other departments.
• Ability to clearly communicate technical decisions, progress, risks, and blockers.
• Regular use of AI-assisted development tools for planning, implementation, debugging, testing, refactoring, or code review. AI should be part of the development workflow rather than used only for occasional experimentation.
• Ability to balance short-term delivery with long-term scalability, maintainability, and extensibility.

Nice to have

• Experience with writing patches for the Linux kernel or writing your own kernel modules
• Proficiency in C programming and debugging skills
• Deep understanding of how operating systems work

Benefits

• A focus on professional development.
• Interesting and challenging projects.
• Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide.
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
• Compensation for private medical insurance.
• Co-working and gym/sports reimbursement.
• Budget for education.
• The opportunity to receive a reward for the most innovative idea that the company can patent.

What you'll do

See responsibilities above for the scope of work and ownership across product components and production lifecycle.

Who you are

See requirements and nice-to-have sections for the desired background and skills, including hands-on engineering, technical ownership, independent work capability, and strong communication.

Tech stack

Python, C, Linux, and related system design and automation tooling; familiarity with AI-assisted development tools.

Team description

Hands-on Staff Engineer role within KernelCare, focusing on building reliable pipelines and process automation in the Security field, with 70% hands-on software engineering and 30% technical product ownership.

Key Responsibilities:

• Design, build, and optimize ML and data pipelines for LLM applications.
• Collaborate with data scientists and software engineers to deploy scalable, production-ready models.
• Implement fine-tuning techniques for large language models to enhance performance.
• Utilize cloud platforms (AWS, Azure, GCP) for deploying machine learning solutions.
• Manage MLOps technologies and tools, including but not limited to AWS SageMaker, Kubeflow, and Vertex AI.
• Automate workflows and streamline processes using scripting and CI/CD tools.
• Ensure adherence to best practices in software development, including test-driven development and version control.
• Maintain documentation and facilitate effective communication across teams using tools like Jira and Confluence.

Qualifications:

• A minimum of 5 years of experience in Data Science, with at least 2 years in Data Engineering, ML Engineering, or MLOps.
• Proficiency in programming languages such as Python and R.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau).

What we offer:

• Involvement in dynamic and interesting projects.
• A collaborative and supportive team culture.
• A flexible work environment.
• A comprehensive benefits package tailored to your preferences.

Who you are / What you’ll do

Senior MLOps Engineer with a strong background in machine learning and data science, with experience in developing and deploying applications that leverage large language models (LLMs), focusing on agentic design and automation within the MLOps pipeline.

Tech stack / Team description

Cloud platforms (AWS, Azure, GCP); MLOps tools including AWS SageMaker, Kubeflow, and Vertex AI; scripting and CI/CD; Jira and Confluence for documentation and communication.

Frontend Team Lead

Frontend Team Lead - TradingView This website uses cookies to ensure you get the best experience. TradingView and our selected partners use cookies and similar technologies (together “cookies”) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. See our Cookie Policy to read more about the cookies we set. 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Apply now — help shape the future of finance. careersite--jobs--form-overlay#showFormOverlay"> Apply for this job blocks--cover--scroll#handleScrollDown" title="Scroll to content"> TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. Responsibilities Lead and manage the frontend team: plan work, balance workload, and support engineers in solving complex technical and architectural challenges Design architectural solutions and contribute to the development of core application components. Work with brokerage integrations and external APIs, participating in the design and implementation of complex business workflows Conduct code reviews and establish, maintain, and promote engineering quality standards. Support team growth through regular 1:1 meetings, mentoring, and helping engineers develop both technically and professionally Collaborate with cross-functional teams and participate in cross-team technical discussions. Lead technical meetings and discussions with stakeholders What makes you the perfect fit 5+ years of commercial frontend development experience working on applications with complex business logic Strong proficiency in JavaScript and TypeScript, with hands-on experience in React Experience managing a software development team of at least 3 engineers Proven experience designing the architecture of complex client-side applications Solid understanding of browser internals, asynchronous programming, and web performance optimization Experience writing and maintaining unit, integration, and end-to-end (E2E) tests Strong communication and collaboration skills Commitment to continuous professional growth and a passion for mentoring and developing others What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages. Department Technology Locations Tbilisi, Limassol, Paphos Remote status Hybrid About TradingView We are TradingView, the world's most popular charting platform and the industry's forefront for financial visualization solutions. 100M+ traders worldwide use our platform as a go-to destination to chart, chat, and trade financial markets. 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