Scopely is looking for a Staff / Senior Software Engineer, Live Technology to join our Monopoly GO! game team working on a hybrid basis out of our Barcelona studio hub, or remotely from within the EU.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily

What You Will Do

• Design, implement, and evolve infrastructure systems that support scalable, high-velocity live operations, including CI/CD pipelines, build automation, deployment frameworks, and observability tooling.
• Own and maintain live technology platforms used across engineering teams, ensuring they are efficient, secure, and aligned with the evolving needs of a large-scale live mobile title.
• Develop internal enablement tools that streamline developer workflows, optimize build processes, and reduce friction across disciplines.
• Collaborate cross-functionally with backend, client, QA, production, and operations teams to define and refine workflows that improve build reliability, deployment speed, and live stability.
• Drive technical excellence by identifying and delivering infrastructure improvements that enhance performance, reduce cost, and strengthen system resilience.
• Architect solutions for Unity-based development pipelines, optimizing for build performance, cross-platform support, and rapid iteration.
• Enhance live system observability and monitoring, integrating best in class tooling to provide actionable insights into performance and reliability.
• Champion automation and long-term system health, ensuring that infrastructure and live systems evolve with product and organizational growth.

What We’re Looking For   

• Proven experience as a senior individual contributor focused on infrastructure, build engineering, or developer tooling within a high-scale live environment.
• Deep understanding of CI/CD pipelines and build automation, with hands-on experience in GitHub Actions, TeamCity, Bamboo, or similar tools.
• Strong programming proficiency in C# and a solid grasp of Unity build systems and challenges specific to live mobile development.
• Expertise in cloud infrastructure (AWS, GCP, or equivalent), including deployment automation, scalability, and cost optimization.
• Experience designing and maintaining systems that support continuous delivery and live release processes for mobile games.
• Familiarity with observability and monitoring platforms such as DataDog, Kibana or Bugsnag.
• Demonstrated ability to drive technical initiatives across teams, influencing architecture and process without formal management scope.
• A focus on reliability, performance, and developer enablement, with a passion for delivering exceptional player experiences through technology.

About Proton

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

Join a world-class Linux engineering team at the forefront of privacy-focused open-source development, where your contributions directly impact millions of users worldwide. Our engineers are passionate problem-solvers who thrive in a fast-paced, collaborative environment, tackling complex technical challenges with creativity and rigor. We value autonomy, technical excellence, and a shared commitment to building software that genuinely makes the world a safer place. If you are driven by purpose and love working alongside exceptionally talented people, you will feel right at home here.

What you will do:

• Design, develop, and maintain robust automated test frameworks and pipelines for Linux-based open-source software

• Write and execute functional, integration, regression, and end-to-end test suites to ensure product reliability and security

• Collaborate closely with developers to define testability requirements and integrate automated tests into CI/CD workflows

• Identify, document, and track software defects, working with engineering teams to drive timely resolution

• Perform exploratory and risk-based testing with a strong focus on privacy, data integrity, and security compliance

• Develop and maintain test infrastructure, including virtual machines, containers, and Linux environment configurations

• Analyze test results, generate reports, and provide actionable insights to improve software quality and release confidence

• Contribute to the continuous improvement of QA processes, tools, and best practices across the engineering organization

• Participate in code reviews for test code, ensuring maintainability, scalability, and adherence to engineering standards

• Stay current with the latest Linux ecosystem developments, testing methodologies, and open-source tooling

What we are looking for:

• 3–5 years of hands-on experience in software test automation, with a strong focus on Linux-based environments

• Solid proficiency in at least one scripting or programming language commonly used for test automation, such as Python, Bash, or Go

• Proven experience designing and maintaining automated test frameworks (e.g., pytest, Robot Framework, or similar)

• Good understanding of CI/CD pipelines and experience integrating automated tests with tools such as GitLab CI, Jenkins, or GitHub Actions

• Familiarity with containerization and virtualization technologies, including Docker, QEMU, or similar tools for test environment management

• Solid knowledge of Linux internals, system administration, and command-line tooling

• Experience with version control systems, particularly Git, and comfort working in an open-source collaborative development model

• Understanding of software security principles and privacy-by-design concepts is a strong plus

• Ability to read and understand application source code to improve test coverage and identify edge cases

• Strong analytical and problem-solving skills, with a structured and detail-oriented approach to quality assurance

• Good communication skills and ability to work effectively in a remote, internationally distributed team

• A genuine passion for open-source software, privacy, and building technology that has a positive impact on society

What We Offer:

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)

• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.

• Technology: you'll get the right hardware and the right software you need to do your best work.

• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.

• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day

• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building

• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.

• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.

• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

Salary range (Vilnius) - 46.100 - 60.000 EUR gross annual 

#LI-Onsite

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

You will join the Android Platform Team, the engine room that enables our mobile engineers to ship features to millions of users with speed and confidence. In a 10+ year-old codebase with 50+ modules, your mission is to eliminate friction and build the foundation of our mobile future.

What you will find:

• Developer Experience (DevEx) at Scale: You won’t just build features; you will build the tools, CI/CD pipelines, and architectures that other engineers use daily.
• Deep Tooling & Build Systems: We manage a complex modular environment where Gradle and CI/CD automation are at the heart of everything we do.
• System-Level Thinking: From optimizing build time to managing our Dagger/Anvil DI graph, you’ll tackle challenges that impact the entire Android Chapter.
• Data-Driven Infrastructure: We don't guess; we measure. You will use metrics to identify bottlenecks in the development lifecycle and prioritize what to fix next.

What You Will Do 👇

You’ll be the "Engineer for the Engineers," driving technical excellence across the organization. To do so, you will:

• Master the Build System: Maintain and optimize our Gradle configuration, plugins, and build logic to ensure fast and reliable builds.
• Optimize the Feedback Loop: Improve CI/CD pipelines and local iteration speed to ensure developers can test and deploy code faster.
• Own the Release Engine: Maintain and evolve our automated release process, ensuring that shipping to millions of users is a non-event.
• Standardize & Modernize: Help define the "Golden Path" for Android development, providing the modular architecture and patterns that teams need to succeed.
• Cross-Platform Collaboration: Work alongside iOS and Web Platform engineers to align on tooling, infrastructure, and DevOps culture.
• Infrastructure as Code: Manage and scale our cloud resources (using AWS when needed) to support our mobile infrastructure.

What We’re Looking For 🔎

• Android Enthusiast & Expert: Deep knowledge of the Android SDK and Kotlin. You don't just use libraries; you understand how the system works under the hood.
• Build System Mastery: Extensive experience with Gradle (writing custom plugins, optimizing build scripts, and understanding the configuration phase).
• The "Platform" Mindset: A passion for Developer Experience (DevEx)—you find joy in making your colleagues' lives easier and their builds faster.
• Performance & Stability: Experience using profilers and monitoring tools to debug complex issues like memory leaks, ANRs, or slow startup times.
• Modularization at Scale: Proven experience managing large-scale, multi-module projects and understanding the trade-offs of different architectural patterns.
• CI/CD & Automation: Solid experience with CI tools (GitHub Actions, Bitrise, etc.) and a pragmatic approach to automating the full release lifecycle.
• Polyglot Curiosity: Comfortable using Python for scripting and an interest in learning AWS infrastructure when needed.

What Would Be A Plus 🚀 

• Experience with Gradle Enterprise (Develocity) or writing custom Gradle plugins.
• Knowledge of Infrastructure as Code (IaC) or basic AWS management.
• Previous experience in a Developer Experience (DevEx) or Mobile Infra role.
• Experience managing Design Systems from an infrastructure perspective (theming engines, token automation).

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + short Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀 **Please, note that all interviews take place remotely over hangouts.**

• Intro Call - run by Talent Acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
• Technical Task - you will be assigned a test that consists of a coding challenge to assess the technical skills required for the role. You will have up to 7 days to complete it. If you have a recent project that meets the same requirements, you can submit it instead.
• Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
• Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
• Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
• Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Python Engineer to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:

• Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.

• Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.

• Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.

• Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.

• Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.

• Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.

• Develop and enhance monitoring, validation, and observability for production-grade AI solutions.

• Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.

• Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.

• Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.

Example Projects

• Building an evaluation and observability framework for AI model performance and reliability.

• Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.

• Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.

• Designing AI services that process and reason over high-volume real-world data at scale.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• 5+ years of experience as a Software Engineer, with strong proficiency in Python.

• Proven track record of building and maintaining production-grade systems using Python.

• Strong understanding of distributed systems, API design, and data-driven architectures.

• Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).

• Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.

• Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).

• Python • FastAPI • LLM APIs (OpenAI, Anthropic, Qwen, OSS) • LiteLLM • Qdrant • PostgreSQL • ElasticSearch • Langfuse • Kubernetes • GitHub Actions • ArgoCD

Preferred Skills

• Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).

• Background in developer platforms or AI infrastructure services.

• Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.

• Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.

• Experience developing enterprise-scale SaaS or distributed backend systems.

• Contributions to open-source projects in Python, AI, or infrastructure engineering.

Soft Skills / Personal Characteristics

• Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.

• Collaborative and proactive approach, comfortable working across teams in a dynamic environment.

• Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.

• Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.

(REQ ID: 2459)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

Responsibilities

We are looking for a Senior Platform Infrastructure Engineer to work as a part of the Infrastructure/CICD team. In this role, you will be responsible for some of the items below:

• Participate in building the modern cloud-native scalable, flexible and extensible Internal Platform solution based on Temporal and other tools with focus on optimized cost, availability, stability, security and compliance, DevEx, performance, minimal on-boarding time.

• Maintain and enhance current solutions for the Workato Internal Platform with focus on health, stability, performance & DevEx

• On-board Workato components & applications to Internal Platform.

• Implement pipelines to automate security, reliability, and availability best practices during all stages of software lifecycle.

• Implement complex deployment scenarios, including dynamic environments, progressive rollouts such as canary deployments, chaos engineering, etc.

• Work with engineering teams to better address needs and enable more effective and efficient developer throughput and improve services through rigorous testing and release.

• Gather and analyze metrics from CICD pipelines and infrastructure to assist in performance tuning and stability improvements.

• Participate in system design consulting, platform management, and architecture reviews.

• Document development processes and best practices.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

• Identify and drive opportunities to improve automation for code integration, quality testing, security scanning and deployment.

If you’re looking for a real challenge in terms of mission criticality, multi-geographic region deployments, diversity of managed services then this might be the position for you!

Requirements

Qualifications / Experience / Technical Skills

• Proficiency in one or more programming languages such as Go, Python, Java, JavaScript, Python, with preference to Go

• Experience with creating internal platform tooling, e.g. CLI tools, etc

• Experience creating scalable development and integration pipelines with tools such as ArgoCD, Argo Workflows, GitHub Actions, or similar solutions.

• Experience creating application deployments of Kubernetes-based services using tools like Kustomize, Helm, ArgoCD or similar ones using release engineering practices such as GitOps.

• Experience with cloud-based architectures like Amazon Web Services and knowledge of related Infrastructure as Code & CICD practices.

• Strong understanding of networking fundamentals and web services architecture.

• Experience with managing complex infrastructure (such as Kubernetes clusters, VPC networking and security policies) using Infrastructure as Code tools (e.g. Terraform or CloudFormation).

• Hands-on experience with containers (creating and optimizing Dockerfiles, using docker-compose), deep understanding of underlying and related technologies (kernel features, container networking, image structure & registry). 

• Familiarity with software packaging tools, functional testing, security validation tools and services, code coverage tools.

• BS or MS in the CS field (or equivalent experience).

• 5+ years professional experience in hands-on engineering roles (Platform Engineer / Software Engineer /  DevOps / SRE / CICD).

(REQ ID: 2718)

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

 ⭐Our Mobile Engineering team

There are ~40 Android engineers at Monzo and we’re looking for more to join the team. We have several non-graduates; only some of us studied Computer Science; some of us have worked in huge companies; some have only ever worked in startups; others are former consultants. As long as you enjoy learning new things, we’d love to talk to you.

 Monzo works in small, interdisciplinary teams

We have around 400 engineers out of roughly 4,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication.

🔑You’ll play a key role by...

We’re searching for product-focused Android engineers to evolve our native mobile app. You’ll take pride in building polished user experiences, and you’ll balance the need for well-tested resilient code with moving fast and iterating. 

You’ll be working on a product that is a part of day to day life for more than 11 million people already, and your work here will shape the way that people interact with their finances.

As an Android Engineer at Monzo you'll work in a small, autonomous product squad alongside iOS Engineers, Backend Engineers, User Researchers, Product Designers, Product Managers, QA Testers, and Data Scientists.

You and your team will be responsible for an overall company goal, rather than building a specific feature - you'll have the opportunity to have impact on both what we build, and how we build it. Mobile engineers at Monzo work on everything from the personal banking product to customer support tools. We also have a small mobile platform squad dedicated to enabling other engineers to move faster.

Every week we meet as an Android discipline to discuss tools, techniques, problems we're encountering across the company and work together to improve our codebase and processes.

You'll report to an engineering manager who will meet with you every 1-2 weeks 1:1. They’re dedicated to helping you grow and develop as an engineer.

Our Android app

Our app is 100% Kotlin, built using MVVM (Model View ViewModel) and Coordinators, and modularised by product feature.

We use RxJava, Retrofit and Moshi for API calls and Dagger for dependency injection. We’re starting to use Coroutines for most new features. Room is our choice for persistence, and we use repositories for interacting with data. We’ve built out our design system with Compose. 

We use GitHub Pull Requests to do code reviews, and write unit tests for our ViewModels, Coordinators, and any other classes which contain logic. We write tests for all of our Compose screens and snapshot test them with Happo. We also use Espresso to test flows, which are executed via our continuous integration system.

We’ve previously written about building Monzo Chat on Android, which goes into detail on some of these elements.

🤩 We’d love to hear from you if…

• You care about the impact your work has on our customers, and optimise for outcomes rather than the number of lines of code you output
• You’re excited about and have experience in programming in Kotlin
• You’ve shipped and iterated on at least one app in the Play Store
• You have a product mindset: you care about customer outcomes and you want to make data-informed decisions
• You love turning excellent design into beautiful products
• You’re comfortable working in a team that deals with ambiguity
• You have an understanding computer science principles

We're on the look out for L30 Engineers at the moment, you can read more in our Engineering Progression Framework you will be interviewed across the whole framework, so if you're not sure what level you're aiming for chat to your recruiter! 

🙌What’s in it for you:

💰Base salary range for this role is depending on experience + equity + stock options & benefits 

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of €1,200 a year for books, training courses and conferences

🌈 The application journey has 3 key steps

Our interview process involves three main stages: 

1. Initial Call 
2. Take home task or pair coding exercise 
3. Final interview including a system design and a behavioural interview 

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

There’s a detailed blog on the interview process, for extra details, hints and tips.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

About Proton

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

We're a tight-knit, passionate Android engineering team building privacy-first apps that are trusted by millions of people around the world — and yes, our code is open source, so your work is truly out there making a difference. We move fast, skip the bureaucracy, and genuinely care about what we ship. Whether you're deep in Espresso tests or debating architecture over lunch, you'll be surrounded by people who are as excited about quality as you are. If you love Android, hate flaky tests, and want your work to actually matter — you'll fit right in.

Tech Stack and Tools:

Kotlin, Java, Espresso, UI Automator, Maestro

What you will do:

• Design, develop, and maintain automated test frameworks and pipelines for Proton's Android applications

• Write and execute UI, functional, integration, and end-to-end test suites using modern Android testing tools and best practices

• Work hand-in-hand with Android developers to define testability requirements and embed automated tests into CI/CD workflows

• Hunt down bugs, document them clearly, and collaborate with the team to get them fixed fast

• Perform exploratory and risk-based testing with a sharp eye on privacy, data integrity, and security behavior

• Own and evolve the Android test infrastructure, including emulator farms, device labs, and test environment configurations

• Dig into test results, spot patterns, and turn findings into actionable improvements that raise the quality bar

• Champion QA best practices across the team and help shape how we think about quality at every stage of development

• Review test code with the same rigor as production code — maintainability and scalability matter here

• Keep up with the Android ecosystem, new testing frameworks, and open-source tooling so we're always ahead of the curve

What we are looking for:

• 3–5 years of hands-on experience in Android test automation, ideally on consumer-facing apps with a large user base

• Strong proficiency in Kotlin and/or Java, with solid experience writing clean, maintainable test code

• Proven experience with Android testing frameworks such as Espresso, UI Automator, or Maestro

• Good understanding of CI/CD pipelines and experience integrating Android tests with tools like GitLab CI, GitHub Actions, or similar

• Familiarity with Android emulators, physical device testing, and cloud-based device farms (e.g., Firebase Test Lab)

• Comfortable navigating Android Studio, ADB, and the broader Android development toolchain

• Experience with version control using Git, and a natural fit in an open-source collaborative workflow

• A good nose for security and privacy issues — understanding of privacy-by-design is a real plus

• Ability to read and understand application source code to sharpen test coverage and catch edge cases early

• Sharp analytical mindset with a structured, detail-oriented approach — you don't let things slip through the cracks

• Great communicator who thrives in a remote-friendly, internationally distributed team

• Genuine enthusiasm for open-source software, Android, and building technology that protects people's privacy

What We Offer:

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)

• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.

• Technology: you'll get the right hardware and the right software you need to do your best work.

• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.

• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day

• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building

• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.

• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.

• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

Salary range (Vilnius) - 48.800 - 54.200 EUR gross annual 

#LI-Onsite

We are looking for a Senior MLOps Engineer to add to our Data team in Barcelona.

Join the User Acquisition MLOps team that builds the core ML backbone of Appodeal. We design and run the systems that power real-time predictions at massive scale, where every millisecond matters. Our work directly drives thousands of bidding operations each second, supporting a high‑throughput, low‑latency inference platform used across the company.

You will help shape and evolve a modern ML platform built around Databricks, MLflow, Unity Catalog, GitHub Actions, and deep integrations with our Predictor service. This means solving real engineering challenges: scaling training pipelines, optimizing GPU workloads, ensuring safe and automated model promotions, and keeping online inference reliable under extreme load.

You will collaborate daily with Data Science, Data Engineering, Runtime, DevOps, and Product, and you will fully own the systems and projects you touch. This is a role for engineers who like autonomy, impact, and building things that matter.

Responsibilities:

• Design, operate, and improve the ML platform, including Databricks workflows for training, MLflow and Unity Catalog for model management, CI/CD pipelines using GitHub Actions and Databricks Asset Bundles, and integration with the runtime inference layer.
• Support data scientists in developing and maintaining end-to-end training pipelines, covering data processing, feature transformations, ML model training on GPUs, and distributed training setups to ensure efficient and scalable workflows.
• Ensure reliable and safe model inference by validating models before promotion, checking metadata compatibility, monitoring latency, and supporting model evaluation flows.
• Maintain strong ML observability, including online and offline monitoring, data and feature parity checks, and automated validation of model performance in production.
• Develop internal tools and APIs that enable DS teams and account managers to experiment, validate, and promote models efficiently while reducing operational friction.

Requirements:

• 3+ years of experience in MLOps, ML Platform Engineering, or Backend roles supporting production ML systems.
• Strong Python and software engineering skills, with experience building and maintaining APIs (FastAPI, Flask, or similar).
• Hands-on experience with DNNs using PyTorch or other modern deep learning frameworks, including GPU training and optimizing hardware utilization.
• Solid understanding of distributed computing and data processing using Apache Spark or similar frameworks.
• Experience with Databricks (Jobs, MLflow, Delta, UC) or an equivalent cloud-based ML platform.
• Strong understanding of the ML lifecycle: data ingestion, experimentation, model packaging, deployment, and monitoring.
• Familiarity with real-time model inference systems and ensuring compatibility with downstream services.
• Experience with data validation libraries (Pydantic or similar) used within ML and API workflows.
• Good understanding of Docker containers, Kubernetes, and basic networking concepts.
• Experience creating and maintaining CI/CD pipelines (GitHub Actions or similar).
• Experience with orchestration tools (Databricks Jobs, Dagster, Airflow or similar).
• Demonstrated ability to use modern AI tools (Claude, ChatGPT, Gemini) to improve development speed and quality.
• Proactive mindset with a strong sense of ownership, consistently pushing work forward and anticipating next steps without needing close direction.
• Strong English communication skills.

Nice to have:

• Exposure to very high-load, low-latency ML inference environments.
• Knowledge of distributed or large-scale ML training frameworks and multi-GPU setups.
• Familiarity with Databricks Asset Bundles.
• Understanding of ONNX or other portable model serialization formats.
• Ability to work with Rust programming language.
• Familiarity with transformer architectures, encoder-decoder models, or sequence modeling approaches.
• Exposure to data engineering concepts, such as building scalable data pipelines, understanding CDC patterns, or working with structured and unstructured datasets.
• Experience with MinIO or other S3-compatible storage systems.
• Understanding of networking protocols such as TCP, HTTP, and gRPC, including their limitations in low-latency scenarios.
• Confidence navigating the Atlassian ecosystem (Jira, Confluence, Compass).

This position supposes relocation to Barcelona and work from our office in the city center.

Why Join Us:

• Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
• A collaborative and inclusive work culture that values innovation and continuous learning.
• Competitive salary, flexible work arrangements, and a comprehensive benefits package.
• Professional development opportunities and career growth prospects within a fast-growing company.

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

With our growing customer base and our expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.

We're building a world-class dual-native mobile experience for our CRM platform. Our iOS app is used daily by dealmakers, investors, and professionals who rely on Affinity to manage millions of dollars in relationships and deals. We need an open-minded iOS expert to own and evolve our SwiftUI-based mobile application.

This is a unique opportunity to join a small, high-impact mobile team where you'll have significant ownership over the iOS codebase and architecture. As we expand our mobile presence, you'll also have the opportunity to contribute to our dual-native strategy, including Kotlin Multiplatform shared code and Jetpack Compose Android development.

Location: Barcelona, Spain

For this role, we're embracing a hub-hybrid model, designed to balance flexibility with meaningful in-person collaboration. Team members are expected in-office 2-days per week. We believe great things happen when people come together intentionally to connect, create, and build momentum as a team.

In this role, you will:

• Own the iOS codebase: Lead architecture decisions, maintain code quality, and drive technical excellence for our SwiftUI application
• Develop core platform functionality: Build new features while ensuring a seamless, high-performance experience for users across mobile interfaces
• Contribute to shared infrastructure: Help build and maintain our Kotlin Multiplatform (KMP) shared module for business logic, networking, and data models
• Ensure quality and performance: Write comprehensive tests, optimize for 60fps scrolling, manage memory efficiently, and maintain App Store quality standards
• Collaborate cross-functionally: Work closely with product, design, and backend teams to deliver cohesive features that delight users
• Support cross-platform development: Participate in Android development efforts, leveraging similarities between SwiftUI and Jetpack Compose

Qualifications:

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role, but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• 5+ years of iOS development experience, with deep expertise in modern iOS development
• Expert-level SwiftUI skills: You have a strong understanding of SwiftUI architecture patterns, state management, MVVM, dependency injection, and compositional design.
• Swift 6 proficiency: You have a deep knowledge of modern Swift, including async/await.
• Shipped apps: You have a proven track record of shipping high-quality apps to the App Store.
• Networking and APIs: You have a strong understanding of REST APIs, JSON serialization, authentication, and error handling.
• Troubleshooting: You’re comfortable troubleshooting across network and application layers. You know how to diagnose and improve performance issues systematically.
• Communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. You can effectively contribute to technical strategy and roadmaps on product-oriented teams.
• Ownership: You demonstrate strong ownership instincts and sweat the details. You have strong convictions, weakly held, and assume validation and iteration are a given to produce the best results.
• Growth mindset: Interest in expanding beyond iOS to become a T-shaped mobile engineer.

Nice to have:

• Android experience or a strong desire to learn Kotlin Multiplatform knowledge
• AI-Driven Engineering
• UIKit knowledge
• Experience writing unit tests and UI tests.
• Experience building B2B or CRM applications

Tech stack:

Mobile
  - iOS: SwiftUI, Swift 6, UIKit (for bridges), Xcode, Swift Package Manager
  - Android: Jetpack Compose, Kotlin (you'll have opportunities to learn)
  - Shared: Kotlin Multiplatform (for business logic and networking)
  - CI/CD: Fastlane, CircleCI, GitHub Actions

Backend & Infrastructure
  - Backend: Ruby on Rails, PostgreSQL
  - APIs: REST, JSON, GraphQL
  - Infrastructure: AWS, Kubernetes

How We Work:

Our culture is a key part of how we operate as well as our hiring process:

• Small, high-impact team: You'll be one of two mobile engineers, with significant ownership and influence
• T-shaped philosophy: We value deep expertise in one platform plus breadth across mobile development
• Dual-native approach: We build native iOS and Android apps that share business logic via Kotlin Multiplatform
• Strategic Delivery: Analyze business requirements to balance high-quality engineering with speed to market, making informed technical trade-offs to deliver value efficiently without compromising system integrity.
• Collaborative culture: Regular pair programming, thorough code reviews, and cross-functional collaboration

If you’d want to learn more about our values click here.

What you'll enjoy at Affinity:

• We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients.
• Health Benefits: Comprehensive health insurance for both you and your family.
• Learning & Development: We provide an annual education budget and a comprehensive L&D program.
• Wellness Support:  We provide a monthly budget for wellness memberships/equipment to support your overall health and happiness.

Nuvolar is a global technology consulting company specializing in Salesforce-based solutions, mobile and web application development, and training and support services. With over 14 years of experience and a multicultural team of more than 100 professionals, Nuvolar delivers projects for highly complex industries such as aviation, healthcare, consumer goods, and transportation. 

Our mission is to transform innovative ideas into reality by optimizing business processes, enabling technology adoption, and developing tailored solutions that empower our clients to grow and adapt in demanding environments.

At Nuvolar, we value international talent, diversity, flexibility, and a collaborative work environment that fosters both professional growth and personal well-being.

Job Description

Thank you for considering a future opportunity with Nuvolar! We are not currently hiring for this specific role, but we would love to connect with talented individuals who are interested in potential future positions. By joining our talent pipeline, you will be the first to be notified when suitable opportunities arise.

In this talent pipeline requisition, we are not actively recruiting for this position at the moment. However, we are building a network of exceptional individuals who possess the skills and experience required for future openings. By submitting your application to this requisition, you will be added to our talent pipeline and may be invited for an exploratory conversation with someone from our Talent Acquisition team to be considered for future opportunities.

About the Role

We aspire to cultivate a team equipped with unmatched expertise, agility, and dedication to excellence. We are looking for an experienced QA Automation Engineer with experience in testing web and API applications. In this role, you will contribute to both manual and automated testing activities, defining the overall testing strategy and ensuring high-quality standards across UI, API, performance, and security testing.

You will design, implement, and maintain scalable and maintainable test automation frameworks, create and execute functional, non-functional, integration, regression, API, and end-to-end tests, and actively contribute to code reviews and CI/CD pipelines. Additionally, you will estimate testing efforts, maintain test documentation, and mentor junior QA team members, driving continuous improvement and best practices across the project.

Qualifications

• 6+ years of experience in manual and automated testing.
• Strong coding skills in TypeScript (preferred) or other languages such as Python or Java.
• Hands-on experience with modern UI automation tools (Playwright preferred; Cypress or Selenium considered).
• Solid experience testing APIs (Postman, RestAssured, requests, etc.).
• Knowledge of Docker, CI/CD tools (Jenkins, GitHub Actions, GitLab CI), Git, relational databases, and SQL.
• Understanding of testing design patterns, test automation patterns, and test management tools (TestRail, Xray, etc.).
• Strong communication skills in English and experience working in Agile environments.

Nice to have: Performance testing experience (k6, Gatling, Locust, JMeter), basic security testing knowledge, cloud platforms (AWS, Azure), TCP/IP and network protocols familiarity, and experience with Gherkin/BDD frameworks.

What to expect from us?

• People-First Culture – We care about our team, support each other, and celebrate successes together.
• Continuous Learning – Access to training programs, mentorship, career development opportunities, and an annual professional development budget.
• Health and Wellness Perks – Private health insurance and gym subsidy.
• Great Company Culture – Team events, knowledge-sharing sessions, and fun activities throughout the year.

Our hiring process

1️⃣ HR Interview – Cultural fit interview to get to know each other.
2️⃣ Technical Test – A coding challenge to assess your skills.
3️⃣ Technical Interview – A deep dive into your technical abilities and thought process.

Join us in a role that offers not only exciting challenges but also the opportunity to make a meaningful impact in the technology and consulting industry.

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Equal Opportunity Statement
Nuvolar Works is an equal-opportunity employer. We welcome and encourage applications from all backgrounds. We do not discriminate based on age, sex, gender, gender identity or expression, sexual orientation, family or marital status, disability, national origin, race, ethnicity, religion, or any other protected characteristic. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process. If you require any adjustments during the hiring process, please let us know.