About the role

We’re looking for a motivated Senior Robotics Software Engineer (m/f/d) to join our software team who'll create cutting-edge, unmanned ground vehicles for governmental and civilian applications. In your day-to-day work, you’ll design efficient and scalable software systems to enable seamless communication, collaboration, and performance optimisation across robotic devices.

To join our team, you should be excited to:

• Design and implement robotic software architectures to ensure robust device communication and optimise system performance
• Develop and integrate software solutions for sensors, actuators, and electronic systems in robotics applications
• Define and optimise communication protocols (e.g., CAN, Ethernet, wireless) for secure and reliable data exchange
• Collaborate with cross-functional teams to ensure seamless integration of hardware and software components
• Establish best practices for modular and scalable software development in robotics
• Conduct rigorous testing and validation to ensure the performance, reliability, and security of robotic systems
• Provide technical documentation to support knowledge sharing and streamline development processes
• Mentor and guide team members in adopting architectural principles and best practices

Your Profile

• Over 5 years of hands-on experience in robotics software development
• Proficient in C++ with extensive experience using ROS2 (Robot Operating System)
• Deep understanding of robotic systems architecture, including sensors, actuators, embedded computing platforms, and real-time system constraints
• Well-versed in communication protocols such as CAN, Ethernet, TCP/UDP, and serial interfaces
• Strong background in Linux environments, containerization with Docker, and implementation of modern CI/CD pipelines
• Proven problem-solving and debugging skills, particularly in systems involving hardware-software integration.
• Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Robotics, or a related field
• Fluency in English is required and German is nice to have

Benefits and Perks

• Competitive salary and benefits package
• A shaping role in an emerging dual use company
• Opportunity to work with a highly innovative, international, and dynamic team
• Room for professional growth and development

Join Apaleo and Shape the Future of Hospitality Tech!

Apaleo is the world’s most open, API-first property management platform powering the next generation of hospitality operations. Its modular, AI-powered infrastructure enables hoteliers to customise their tech stack, automate routine work, and deliver seamless, personalised guest experiences, powered by best-in-class apps and autonomous AI agents that adapt to every stay.

If you’re driven by the idea of making hospitality smarter, more human, and powered by cutting-edge technology, we’d love to hear from you.

What You’ll Be Up To

• Architecting and developing scalable, reliable, and maintainable backend systems in a modern tech environment.
• Championing architectural decisions and leading design discussions with a clear focus on long-term impact and cross-team alignment.
• Mentoring engineers and driving technical excellence through collaboration.
• Proactively identifying opportunities for technical innovation, system evolution, and performance improvements, especially in areas where AI and automation can play a role.
• Building and maintaining internal tools and infrastructure (AWS, Terraform) to empower teams to deliver faster and more reliably.
• Ensuring high platform availability by implementing best practices for observability, logging, and operational excellence.
• Participating in on-call rotations and stepping in as a reliable problem solver during incidents.

What You’ll Bring to the Team

• 8+ years of experience in backend development, with several years in a staff-level or technical leadership role.
• Expert-level knowledge of C# (.NET 8+) and strong hands-on experience with PostgreSQL (or solid SQL chops).
• Proven experience designing and scaling distributed systems in cloud-native environments (preferably AWS).
• Comfortable working with containerized services and infrastructure-as-code (Docker, ECS, Kubernetes, Terraform).
• Hands-on experience with AI-assisted development tools (e.g., GitHub Copilot, Cursor AI, ChatGPT, Amazon CodeWhisperer) to boost productivity, solve complex bugs, or auto-generate boilerplate code and documentation.
• A growth mindset and constant curiosity about how AI and automation can accelerate development, improve quality, and reduce toil.
• Strong advocate for AI enablement across engineering you think beyond code.
• Excellent collaboration and communication skills, you’re able to clearly articulate your ideas, especially when introducing new tech like AI to cross-functional teams.
• A pragmatic approach to problem-solving, you know when to build custom vs. leverage existing AI tools.
• Experience with event-driven systems and streaming technologies (Kafka is a plus).
• Fluent in English.

What We Offer

Culture & Growth

• A Diverse & International Team: Work alongside passionate professionals from over 20 nationalities, bringing unique cultural perspectives, backgrounds, and experiences to shape the future of hospitality tech.
• Growth & Development: As we scale, so do your opportunities. You’ll benefit from 360° feedback reviews, a dedicated learning budget, and plenty of chances to take on more responsibility. Our evolving career framework ensures you have increasing opportunities to learn new skills, advance your career, and make an impact.
• Autonomy & Ownership: Great ideas can come from anywhere. We empower you to take responsibility, make decisions, and contribute directly in an environment built on trust, transparency, and collaboration.
• Shape the Future of Hospitality Tech: Be part of a fast-growing scale-up transforming the hospitality industry. From day one, your work drives real impact and you’ll have the freedom to bring your ideas to life.
• Competitive & Fair Compensation: We believe great work deserves great pay. Our salaries are competitive and guided by benchmarking data to ensure fairness across all roles and teams. We make sure to recognize and reward performance and contribution.

Perks & Lifestyle

• Flexible & Remote Work Options: We focus on results, not clocking hours. You can work from home, the office or in a hybrid setup, with flexibility to adapt your schedule as long as it makes sense for your role, your team and our business.
• Free Public Transport: Travel across Germany with ease using our fully covered Deutschland Ticket.
• Team Connection: Strong connections fuel collaboration. We celebrate and connect through regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties, and other offsite events.
• Paid Time Off: Enjoy 30 days of vacation to fully disconnect, recharge, and return inspired.
• Health & Wellbeing: Prioritize your health with access to hundreds of gyms, fitness studios, and wellness options through our EGYM Wellpass membership.

How you make an impact joining Apaleo: Joining Apaleo means more than just taking on a role, it’s about driving real change in the hospitality industry. Your contributions will directly shape our innovative platform, influence company-wide decisions, and help redefine the future of hospitality tech. At Apaleo, your voice matters, your ideas are valued, and your impact is tangible. Be part of a team where your work fuels progress, collaboration sparks innovation, and growth is a shared journey.

We are proud to be an Equal Opportunity and Affirmative Action Employer, committed to fostering a diverse, inclusive, and welcoming workplace. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, gender identity or expression, sex, national origin, age, marital status, disability, or any other characteristic protected by applicable law. Your personal data will be handled with the utmost care and in compliance with GDPR and relevant data protection regulations. We celebrate differences and believe that diversity enriches our team and drives innovation.

Join Apaleo and Shape the Future of Hospitality Tech!

Apaleo is the world’s most open, API-first property management platform powering the next generation of hospitality operations. Its modular, AI-powered infrastructure enables hoteliers to customise their tech stack, automate routine work, and deliver seamless, personalised guest experiences, powered by best-in-class apps and autonomous AI agents that adapt to every stay.

We are looking for a Senior Backend Engineer (f/m/d) to build the foundation of Apaleo’s market-facing API layer, bringing agentic booking into hospitality and enabling the next generation of guest-facing AI experiences.

This is a highly autonomous role where you will design and ship the Storefront API, a production-grade, scalable interface that allows external systems (like ChatGPT and booking platforms) to interact directly with Apaleo.

You’ll operate at the intersection of backend engineering and AI, starting with clean API architecture and evolving into systems that power intelligent, agent-driven interactions.

What You’ll Be Up To

Build the Storefront API from Scratch

• Design and implement a production-grade, multi-tenant API / MCP
• Enable seamless integration with external platforms and AI agents
• Ensure scalability, reliability, and high performance from day one

Own the Full API Lifecycle

• Define API schemas and contracts (OpenAPI)
• Implement versioning strategies and backward compatibility
• Design authentication, authorization, and security patterns
• Build rate limiting and usage controls
• Ensure strong documentation and developer experience
• Set up monitoring and observability

Work Across Distributed Systems

• Integrate with existing .NET microservices
• Connect to event-driven systems (Kafka or similar)
• Navigate and improve a complex distributed architecture

Operate in the Cloud

• Deploy and manage services in AWS
• Work with Docker and containerized environments
• Contribute to infrastructure as code practices

Collaborate on AI-Driven Use Cases

• Partner with AI engineers to enable agent-based workflows
• Build APIs that integrate with LLM-powered systems
• Help evolve the platform toward AI-native product capabilities

Shape Engineering Standards

• Define best practices for:
  • API design
  • System architecture
  • Code quality and maintainability
• Contribute to how the ecosystem team scales and operates

What You’ll Bring to the Team

Core Requirements

• Proven experience building and operating production-grade APIs at scale
• Strong expertise in REST API design and architecture
• Solid experience with C# / .NET 8+
• Hands-on experience with AWS, Docker, and infrastructure as code
• Strong understanding of microservices and distributed systems
• Ability to work independently and make architectural decisions
• Interest in AI systems and integrations

Mindset & Traits

• Self-starter — you take ownership and drive work without waiting for direction
• Comfortable with ambiguity — you can build in evolving, low-structure environments
• Pragmatic decision-maker — you balance speed with long-term scalability
• Builder mindset — you enjoy creating systems from scratch
• Curious about AI — you’re motivated by where backend systems meet intelligent agents

Nice to Have

• Experience with:
  • Event-driven systems (Kafka or similar)
  • Multi-tenant SaaS architectures
  • Developer-facing or public APIs
• Exposure to:
  • LLM integrations or agent-based systems
  • Python
  • Any major frontend framework
• Background in hospitality tech (not required)

Why This Role Matters

This role is about more than building APIs, it’s about defining how external systems interact with Apaleo in an AI-first world.

You’ll:

• Lay the foundation for market-facing, AI-integrated products
• Enable guest-facing experiences powered by intelligent agents
• Help transform Apaleo into a platform ready for autonomous systems

What We Offer

Culture & Growth

• A Diverse & International Team: Work alongside passionate professionals from over 20 nationalities, bringing unique cultural perspectives, backgrounds, and experiences to shape the future of hospitality tech.
• Growth & Development: As we scale, so do your opportunities. You’ll benefit from 360° feedback reviews, a dedicated learning budget, and plenty of chances to take on more responsibility. Our evolving career framework ensures you have increasing opportunities to learn new skills, advance your career, and make an impact.
• Autonomy & Ownership: Great ideas can come from anywhere. We empower you to take responsibility, make decisions, and contribute directly in an environment built on trust, transparency, and collaboration.
• Shape the Future of Hospitality Tech: Be part of a fast-growing scale-up transforming the hospitality industry. From day one, your work drives real impact and you’ll have the freedom to bring your ideas to life.
• Competitive & Fair Compensation: We believe great work deserves great pay. Our salaries are competitive and guided by benchmarking data to ensure fairness across all roles and teams. We make sure to recognize and reward performance and contribution.

Perks & Lifestyle

• Flexible & Remote Work Options: We focus on results, not clocking hours. You can work from home, the office or in a hybrid setup, with flexibility to adapt your schedule as long as it makes sense for your role, your team and our business.
• Free Public Transport: Travel across Germany with ease using our fully covered Deutschland Ticket.
• Team Connection: Strong connections fuel collaboration. We celebrate and connect through regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties, and other offsite events.
• Paid Time Off: Enjoy 30 days of vacation to fully disconnect, recharge, and return inspired.
• Health & Wellbeing: Prioritize your health with access to hundreds of gyms, fitness studios, and wellness options through our EGYM Wellpass membership.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Forward Deployed Engineer, DevOps, your mission is to build and scale the dedicated infrastructure that powers our custom agent integrations for our most important customers. You will be the key technical cornerstone of our team, empowering our customer-facing Forward Deployed Engineers to build, deploy, and manage bespoke client solutions with speed and confidence. By creating a robust, automated, and self-service platform, you will directly enable the rapid delivery of high-quality, reliable custom services.

Areas of ownership:

• Design, build, and maintain the cloud infrastructure specifically for hosting custom services developed by the Agent Integration Engineering team.
• Create flexible and reusable CI/CD pipeline templates that the integration team can easily adopt to automate the deployment of their services.
• Champion Infrastructure as Code to create standardized, yet customizable, service environments, ensuring consistency and rapid provisioning for new integrations.
• Manage a Kubernetes-based environment tailored for hosting a multitude of diverse integration services, focusing on security, isolation, and resource management.
• Implement robust monitoring and observability solutions to provide the integration team with deep visibility into the performance and health of their specific services.
• Serve as the primary DevOps partner for the Forward Deployed Engineering team, understanding their workflow, anticipating their needs, and removing infrastructure-related obstacles.
• Develop automation scripts (Python, Go, Bash) to streamline the entire lifecycle of custom integration services, from creation to decommissioning.
• Support and modernize legacy Azure infrastructure, helping transition workloads to a standardized, Kubernetes-based platform aligned with Parloa’s Engineering practices.

Who you are:

• 5+ years of professional experience in DevOps, infrastructure engineering, or a similar role.
• A strong customer-first mindset, viewing the Forward Deployed Engineering team as your primary customer.
• Proficiency in at least one scripting or programming language like Python, Go, or Bash.
• Hands-on expertise with a major cloud provider (AWS, GCP, or Azure).
• Advanced knowledge of containerization and orchestration, specifically Kubernetes, Helm, and Docker.
• Proven experience creating flexible CI pipelines with tools like Jenkins, GitHub Actions, or GitLab CI, and CD/GitOps workflows with tools like Argo CD.
• A strong background in Infrastructure as Code (Terraform is highly preferred).
• Experience building self-service tools and platforms that empower specific development teams.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. 

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. 

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. 

The role

Our Autonomous Air System V&V team builds the simulation and validation environments that enable rigorous testing of autonomous air systems before they ever leave the ground. We develop Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) environments that allow engineers to integrate, test, and assure AI-driven capabilities against virtualised and representative hardware.

We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations – from mission planning to command and control (C2) and mission debrief – so must be both reliable and frictionless.

Taken together, this brings a whole host of interesting backend engineering challenges across a wide variety of fields that you'll help us solve. To give some examples:

• Simulation frameworks (e.g., high-fidelity SiL/HiL environments, real-time and deterministic simulation)

• Test automation (e.g., fault injection, automated test coverage, regression testing at scale)

• Hardware-software integration (e.g., testing against representative hardware, sensor and actuator interfaces)

• Real-time and high-performance computing (e.g., concurrency, low-latency execution, profiling and optimization)

• Distributed systems (e.g., orchestrating complex multi-component test environments)

• Deployment infrastructure (e.g., air-gapped devices and heterogeneous test rigs)

• Machine learning (e.g., systems for testing and validating AI/ML model behaviour)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Design and develop modules in simulation and validation frameworks, writing high-performance Rust code for simulators and test infrastructure.

• Build tools for automated test coverage, fault injection, and regression testing to ensure comprehensive validation of autonomous systems.

• Work closely with autonomy and systems teams to capture requirements and ensure simulation environments accurately represent real-world conditions.

• Debug and profile simulation performance, identifying bottlenecks and optimizing for speed, determinism, and fidelity.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is primarily Rust and Python.

• Maintain documentation and testing infrastructure, ensuring that our simulation environments are well-documented and accessible to other teams.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirreling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Write modern, maintainable Rust.

• Have experience in simulation, testing, robotics frameworks or autonomous driving.

• Are comfortable with complex systems and concurrency.

• Care about reliability, performance, and safety.

• Enjoy working on the interface between software and hardware.

• Are motivated by fast feedback loops and real impact.

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Aerospace or automotive background.

• Software/Hardware-in-the-loop or simulation experience.

• Experience building test rigs or ground-based integration systems.

• Knowledge of flight dynamics or control systems.

• Exposure to AI/ML systems testing.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe
  
  

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Summary

As a Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies to drive customer adoption and use of the Wiz platform.

Ideally based in Germany and be able to speak fluent German and English, you will provide both strategic and hands-on technical guidance to customers throughout the Wiz journey, from onboarding to operationalization.

Technical expertise and strong customer-facing skills will be essential in address both the business and technical needs of our customers. Serving as the bridge between customers and the broader Wiz team, you'll streamline collaboration between Product Management, Sales, Engineering and Support for a cohesive customer experience.

Join Wiz as a TAM to contribute to customer success and to be a part of an innovative and collaborative company that values excellence and growth.

What you’ll do

• Provide customers with expert guidance on deployment, operational best practices, and assist in establishing a Wiz Center of Excellence.
• Serve as the primary Wiz liaison for technical questions or escalations, collaborating with Support, Product Management, and other relevant teams.
• Contribute to workshops aimed at helping customers unlock the full value of the Wiz platform.
• Develop trusted advisor relationships and establish a regular cadence with customer stakeholders from practitioners to C-level, with a focus on increasing adoption, ensuring retention, and fostering satisfaction.
• Help customers develop Success Plans, outlining critical goals and key performance indicators, and provide guidance in achieving these objectives.
• Measure customers’ achievement of these key performance indicators and report those both internally and externally.
• Identify and address technical issues to ensure high levels of customer satisfaction.
• Collaborate with Engineering and Support teams to resolve technical escalations quickly and efficiently.
• Advocate for customer needs across various departments (product management, support, ...).
• Offer insights regarding the availability of new features in Wiz.
• Program manage account escalations effectively.
• Collaborate with the Wiz Sales and Renewal teams to secure contract renewals.
• Assist in identifying opportunities for expanding Wiz usage across the customer’s organization.
• Maintain up-to-date functional and technical knowledge of the Wiz platform.
• Continuously monitor news related to new & emerging cloud security threats.
• Grow your knowledge of the Wiz ecosystem (Cloud Service Providers, Technology partners, ...)

What you’ll bring

• 3+ years of experience in technical customer facing roles, for example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer.
• Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
• Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them.
• Strong problem-solving skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Proven track record of building and maintaining relationships with enterprise clients, driving customer success, and exceeding performance targets.
• Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels of an organization.
• B.S. in Computer Science, Engineering, or similar field, or equivalent experience.
• Fluent German and English

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)

The Role

We are looking for a Senior Backend Software Engineer (Java) to join the Provisioning & Licensing team. This is a high-impact role that demands significant autonomy and ownership, driving the technical design and delivery of mission-critical systems.

You will be responsible for our core provisioning pipeline. Additionally, you will apply your expertise and technical knowledge to support the development of our strategic Self-Managed Platform Solution for highly regulated environments. If you thrive on complexity, enjoy taking architectural contributions from design to production, and want to own systems that directly enable multi-million dollar market expansion, this is your next role.

The Team: Provisioning & Licensing

You will be part of the Provisioning & Licensing team, the vital "glue team" between our business functions and the core platform.

• The team owns the latency-sensitive internal APIs for automatically creating new tenants based on customer data, as well as our internal Feature & Configuration system (like a car configurator, just for microservices!).
• Your team is a central internal unit with many touchpoints across other engineering teams and business teams like Licensing Management.
• When it comes to prioritization, we value your input and expect you to contribute actively to the prioritization discussions in our dynamic environment.

The Tech Stack

Our stack is modern, cloud-native, and focused on portability to support our strategic on-premise deployments.

• Core Technologies: Java 25, Spring Boot, Postgres as the main datastore.
• Containerization: We are all in on containerization and orchestration, running our applications on Kubernetes (K8s).
• Architecture: We develop within a new & modern modular monolithic application with strongly enforced boundaries between the modules.
• DevOps: Writing deployment files with the help of Kustomize and deploying our applications with Github CI and Kargo. We use Datadog for metrics, logs, and as our APM tool.

The Work You’ll Do

This role requires you to operate with a high degree of independence, owning complex technical problem spaces, and applying your expertise to strategic initiatives.

• End-to-End Problem Ownership: Independently take ownership of significant portions of the development process from architecture to delivery. You build it, you own it! (We mean it.)
• Self-Managed Solution Contribution: Contribute to the implementation of the Self-Managed Platform Solution. You will support the team by implementing components, tooling, and integration patterns, leveraging your knowledge of Kubernetes, IaC, and On-Premise environments to help package and operationalize our core platform.
• Technical Strategy: Have a strong say in the technical vision and strategy for your team, balancing trade-off decisions between the cloud and self-managed deployment models (hello, complexity!).
• Reliability & Scalability: Continuously focus on the scalability and reliability of our services, upholding the defined latency SLAs.
• Collaboration & Documentation: Collaborate with other Engineering teams (i.e., Identity, Platform) to deliver broad-impact technical projects. Actively ensure high software quality standards and thoroughly document processes, concepts, and insights (help us save time later!).

The Qualifications You Need

• 7+ years of professional experience building high-performance Java applications.
• Strong practical experience with Spring frameworks.
• Expert-level familiarity with containerization (i.e., Docker) and proven experience deploying and managing applications on Kubernetes (K8s).
• Experience with REST APIs and/or distributed micro-service architecture.
• Experience in writing and setting up comprehensive tests (unit and integration tests).
• Strong communication skills in English and a passion for clean and understandable code.

Nice to Have (High-Impact Skills):

• Infrastructure as Code (IaC): Hands-on experience with tools like Terraform.
• Systems Programming: Experience with languages like Go for building automation and tooling.
• On-Premise Experience: Prior experience with the architectural and operational challenges of On-Premise or Self-Managed enterprise solutions, including deployment models and packaging (e.g., Helm).
• Experience with monitoring and log analysis capabilities (i.e., DataDog).

THE OPPORTUNITY

At NavVis, we build cutting-edge technology that powers spatial intelligence across industries. This role is for a software engineer who cares deeply about how software is built and efficient developer workflows. You will design and build developer tooling, improve local development workflows, and remove friction in how engineers write, test, and iterate code. 

While you will collaborate with infrastructure and DevOps teams, your primary focus is the developer inner loop — build speed, test reliability, tooling, and engineering productivity. 

If you enjoy enhancing build systems, scaling CI/CD pipelines, and crafting a smooth end-to-end developer experience, this role offers both autonomy and the opportunity to influence engineering excellence at NavVis. 

HOW YOU WILL MAKE AN IMPACT

• You will enhance the end-to-end developer experience by improving local development environments, build systems, testing workflows, and internal development tooling. 

• You will majorly contribute to the building, testing, and releasing processes on our CI/CD system to improve developer velocity and reduce friction across engineering teams. 

• You are responsible for creating robust tooling, frameworks, and automation that streamline code development, testing, and deployment workflows. 

• You will ensure and sustain close collaboration with engineering teams to identify workflow pain points, establish best practices, and drive improvements in onboarding, productivity, and internal processes. 

• You act as a catalyst for engineering excellence by championing developer-centric solutions, continuously evaluating new tools, and proposing improvements to how we build and deliver software. 

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• A Bachelor’s/Master's degree in computer science or relevant technical field, or equivalent practical experience 

• You bring 5+ years as a Software Engineer, with significant experience improving developer workflows, build systems, or internal tooling 

• Proven experience in building and deploying C++ and Python applications 

• Proven experience in modern build systems and source control workflows (e.g. CMake, Bazel, Git, devcontainers)  

• Strong experience with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, TeamCity, etc.) 

• Proven experience in Linux systems knowledge and command-line proficiency (Ubuntu/Debian preferred) 

• Hands-on experience with Docker and containerization 

• Scripting skills in Python or Bash for automation 

• A strong passion for improving developer productivity, paired with excellent communication, collaboration, and a proactive, solution-oriented mindset 

HOW WE WILL KNOW WE ARE A PERFECT MATCH

Your recruiting partner for this role is Rina (she/her). You can expect to go through a screening call, and up to 4 rounds of interviews, where we would love to discover your passion and interests, introduce you to who we are and what drives us, and finally understand how we can potentially add value to each other's growth.

HOW WE WILL KEEP YOU SMILING

• It's important to take a break from work! We offer 30 days of paid time off per year
• Affordable access to a vast network of fitness and wellness facilities through EGYM Wellpass subsidy
• Deutschlandticket subsidy to support sustainable travel using public transport
• We offer flexible working hours and a hybrid work setup, enabling you to plan your work around your life, and not your life around work!
• We offer full visa and relocation support for international candidates
• An attractive bike leasing model through JobRad, in line with our commitment towards sustainable mobility
• A competitive compensation package that values the skills and experience you bring
• Up to 4000 EUR employee referral bonus 
• Financial support for local language classes to help you in your journey of integrating into the culture!

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

We’ll be happy to have you on our team if you have:

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

The impact you will make

You will be building and supporting IT systems for Marvel Fusion scientists and engineers, enabling the company path towards abundant and clean Fusion energy to the world.

Your responsibilities

• Deployment, administration and maintenance of IT infrastructure, on-premises and in the cloud.
• Support scientists and engineers on IT topics.
• Participate in building specialized IT systems for advanced research applications.

What you bring

You are experienced in:

• Networking: switches, routers, firewalls, DHCP, DNS and VPN 
• Linux Administration: basic scripting, comfortable CLI usage, compiling of Open Source apps and tools, deployment of Linux systems, deployment of Linux applications 
• Storage Administration: NFS, CIFS/SMB, iSCSI, provisioning shares and volumes, configuring clients
• Virtualization: provisioning and managing VMs in any hypervisor 
• Containers: docker or podman
• Windows Administration: basic scripting, basic CLI usage, deployment of Windows systems, deployment of Windows applications 
• AD or LDAP administration

Working IT experience of at least 3 years.

Good English language proficiency, both speaking and writing.

What sets you apart

You are experienced in:

• Configuration management
• Infrastructure as Code
• DevOps: git, CI/CD
• AWS Cloud

What we offer

We support our team with benefits that foster wellbeing and growth: 

• Public transport reimbursement 
• EGYM Wellpass fitness club access 
• Complimentary health insurance 
• Professional development support 
• Healthy office snacks 

For more information on how we process your application data, please review our privacy notice.

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is:  94,400-156,429 EUR yearly. 

Meet our software engineers!

About the role

You will streamline developer workflows and deployment infrastructure for complex automotive systems, identifying friction to improve velocity and reliability. By building robust HIL/SIL validation pipelines and leveraging cloud-based CI/CD, you will evolve the tooling and automation platforms necessary to scale modern embedded software development across the entire lifecycle.

At Applied Intuition, you will:

• Design, build, and improve the tools, libraries, and frameworks for our engineering team
• Develop and evolve CI/CD pipelines for embedded and automotive software, including SIL and HIL test environments
• Build and test scalable tools for deploying to various automotive and cloud platforms
• Optimize our compile/build times using tools like Bazel, CMake, Docker
• Improve software deployment and data collection frameworks
• Identify and solve bottlenecks within our software stack

We're looking for someone who has:

• 5+ years of relevant experience
• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• Some experience using Python, Go, Java, or Kotlin
• Experience with CI, build, and deployment technologies like Bazel, Buildkite, Docker, Kubernetes, and Jenkins, and comfortability with scripting for automation
• Exposure to embedded, automotive, SIL/HIL, or hardware-adjacent environments is highly desirable
• Experience with Linux and/or ARM systems

Nice to have:

• Experience using C and C++
• Experience working in automotive or related industries
• Experience with deploying software on either public clouds (e.g., AWS) or on-premise clusters

Benefits and perks

• Lunch and dinner allowance
• Fitness (600 USD) and learning stipends (1,000 USD) annually 
• Stock options

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: 511.200 - 1.098.200 SEK yearly. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At JetBrains, code is our passion. Ever since we started in 2000, we have strived to make the strongest, most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

We are looking for a talented Full Stack Engineer to join our team and help build an innovative agentic-driven product. In this role, you’ll work across the entire stack – frontend, backend, and cloud infrastructure – designing, developing, and maintaining high-quality features. You’ll collaborate closely with product managers, designers, fellow engineers and AI-agents to deliver scalable, reliable, and user-friendly solutions.

Our tech stack:

• Primary: TypeScript, Node.JS, Nest.JS, React, Vitest (no legacy tech)
• Secondary: Kotlin/Java (for some backend services)

In this role, you will: 

• Design, develop, and maintain end-to-end features across the frontend and backend.
• Collaborate with product and design teams to translate user needs into technical solutions.
• Write clean, efficient, and well-documented code.
• Integrate our product with internal and external APIs and services.
• Contribute to architecture decisions, scalability, and performance improvements.
• Participate in code reviews to ensure quality and best practices.
• Debug, troubleshoot, and resolve issues quickly.
• Optimize applications for speed, usability, and scalability.
• Stay up to date with emerging technologies, tools, and industry trends.
• Continuously improve development processes and practices.

We will be happy to have you on our team if you have: 

• 6+ years of proven experience as a Full Stack Engineer or in a similar role.
• Solid engineering and architecture skills and ability to build reliable solutions.
• Focus on customer-oriented delivery and understanding of user needs and requirements.
• Deep understanding of backend & frontend development.
• Proficiency in multiple programming languages (e.g. TypeScript, Kotlin, Java, Python).
• Experience with relational and/or NoSQL databases (e.g. PostgreSQL, MongoDB, and MySQL).
• Understanding of cloud platforms (e.g. AWS, GCP, or Azure) and containerization (Docker or Kubernetes).
• Proficiency with version control systems (e.g. Git).
• Experience with testing frameworks (e.g. Jest, Vitest, and Playwright).
• Familiarity with authentication, authorization, and security best practices.
• Experience with AI agent development
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• A bachelor’s degree in computer science or engineering (or equivalent practical experience).

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.
  *Some benefits may vary depending on location.

#LI-IM1

The Role 

The Senior Systems Software Engineer will be a member of the core team building the Quantum Key Distribution system. The focus is on high-performance Python services on Linux, algorithm optimization and acceleration (also via hardware offload), and the role spans defining software architecture, integrating with FPGA/embedded subsystems, and turning requirements into reliable, observable software.  

The Senior Systems Software Engineer leads and co-owns the overall internal QKD software architecture and client-facing software API. By setting engineering standards, mentoring, and unblocking delivery, they ensure predictable releases and a strong execution cadence. 

The Responsibilities 

The Senior Systems Software Engineer should expect to work in the following activities. 

• System architecture
  • Leading and co-owning the QKD software architecture: control plane services, key sifting/postprocessing integration, configuration management, monitoring, and external interfaces 
  • Defining module boundaries and service APIs; evolving the system toward clear data/control-plane separation 

• Efficient implementation and hardware/software integration
  • Designing and implementing high-performance Python services on Linux (asyncio, WebSockets, NumPy); profiling and tuning for latency and throughput
  • Developing, profiling, and optimizing QKD sifting and postprocessing algorithms (signal handling/processing, error correction/information reconciliation, LDPC, privacy amplification) to maximize key rate and minimize end-to-end latency; applying algorithmic improvements and implementation techniques (vectorization, concurrency/async, memory/layout tuning, C/C++ extensions, SIMD/CUDA/GPU/FPGA offload where appropriate)
  • Defining and maintaining robust interfaces with embedded/FPGA system components over UART/USB/PCIe/Ethernet; respecting realtime constraints and failure modes 
  • Guiding downstream system integration (WebSockets/gRPC/REST) and ensuring clear contracts and backward compatibility
  • Designing for test – building mocks/simulators and automated test systems 

• DevOps
  • Building and maintaining CI/CD with Docker and GitHub Actions; automated tests, static analysis, artifact management, and release pipelines
  • Establishing observability (structured logging, metrics, tracing) and operational runbooks; improving reliability and debuggability with SLOs/alerts
  • Embedding security and crypto hygiene by default: secure transport, secrets management, key handling, and coordination with cryptography stakeholders
  • Adding performance benchmarking and regression tracking for key rate and end-to-end latency; integrating profiling/flame graphs into CI and enforcing performance budgets 

The Requirements 

The Senior Systems Software Engineer is expected to have the following qualifications and experience. 

• 5+ years of Python development; 3+ years leading or co‑owning service/system architecture for a hardware‑first product 

• Strong Linux async Python (asyncio, WebSockets), concurrency (threads/processes), profiling/tuning 

• Proven custom hardware integration (MCU, FPGA) over UART/USB/PCIe/Ethernet 

• CI/CD with Docker and GitHub Actions; automated testing, static analysis, artifact management 

• Experience with GPU & CUDA acceleration/optimization; SIMD familiarity 

• Production observability (logging/metrics/tracing) and incident/debug practices 

• Working knowledge of relational/key-value/time-series stores (PostgreSQL/Redis/Prometheus)  

• Security by Default mindset: secrets, secure transport, key/crypto hygiene 

• Proficiency in written and spoken English 

• Ability to be on-site in Munich office several times per week 

• Applicants must have the right to work in Germany at the time of application. We do not provide visa sponsorship. 
• Must be eligible to obtain and maintain either (a) a U.S. Secret (or higher) security clearance or (b) an EU SECRET (or national equivalent) personnel security clearance. Employment is contingent on meeting applicable government security requirements; eligibility is determined by the competent authorities.

Good to have: 

• Experience with QKD systems, cryptography, or high‑rate data pipelines  

• Exposure to C/C++ for low‑level interfacing and FPGA/embedded ecosystems  

• Familiarity with gRPC/Protobuf, schema/versioning strategies, and Kubernetes 

Your mission:

Join us in disrupting post-trade processing in the over the counter (OTC) energy trading market.

As a Software Developer with a passion for coding, you will be a key member in a small dev team creating a highly interactive, event-driven product.

What you’ll do: 

Design your career entry with us as a Fullstack Engineer!

If you love to be part of all aspects of a feature development and if you are passionate about new frontend and backend technologies, then you are right.

You will be part of an innovative SaaS application and you will take responsibility for the entire process chain, from software design up to deployment in the cloud.

Our roadmap for the next year is feature-rich and gives you an opportunity to play out your dev skills in various areas of our platform. Become part of an international success story!

Who you are:

• Degree in computer science, completed training as an IT specialist or comparable knowledge from practical experience
• First experiences with backend technologies, for example Java, MongoDB, Spring, SQL, AWS
• First experiences with frontend technologies, for example HTML5, JavaScript, TypeScript, Angular, Redux, (S)CSS
• Experiences with testing (Unit Tests, E2E Tests) is a plus
• Interest and passion to learn and experiment with new technologies
• A “you build it, you run it”-mentality
• The ability to work autonomously and in a result-oriented way
• Strong written and spoken English skills

What you’ll get: 

• Being part of our supportive, persistent, curious and fun culture!
• Small teams of highly skilled developers
• High autonomy and working with a modern tech stack: Java, Kotlin, Spring Boot, Amazon Web Services, Infrastructure As Code, Angular, Typescript, playwright, Docker, Gitlab, Intellij IDEA
• Our Rapid Prototyping Days and Level Up Days to explore new technologies and prototype your ideas
• Joining a grown-up start-up in the SaaS/energy field
• Entrepreneurial company culture with flat hierarchies
• Modern office spaces in the heart of Munich
• State of the art hardware and software
• Diverse, international team that celebrates differences
• Free drinks, fruit, and coffee as well as a monthly gym allowance
• Hybrid work set-up, allowing you to combine working in the office with working from home
• German classes
• Deutschland Ticket Subsidy
• Learning & Development: a Personal Development Plan along with especially allocated budget and 5 extra days off to further your personal & professional development    
• Relocation assistance for international candidates
• Dog-friendly office

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Principal Engineer (JetBrains Cloud Platform, Developer Experience) to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

About the Initiative

JetBrains is evolving beyond standalone developer tools toward a unified, AI-native platform for software development.

AI is no longer just an assistant inside the editor –  it is becoming an active participant in how software is planned, built, reviewed, and operated across teams and organizations. This shift introduces new challenges that cannot be solved at the level of individual tools alone: governance, security, cost control, observability, and coordinated work between humans and autonomous agents.

Our goal is to build a platform that enables companies to adopt AI in software development in a structured, scalable, and economically efficient manner – without locking them into closed ecosystems.

We are building the foundation that connects developer workflows, team-level collaboration, and organizational control into a single coherent system.

This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments.

This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

The role

We are looking for a Developer Experience Lead to drive large-scale improvements to the development experience across the JCP.

This role focuses on making JCP engineers faster and more productive by improving build systems, CI/CD pipelines, local development workflows, tooling infrastructure, and AI pipelines. You will own the developer experience end to end – from how engineers develop, build, and test locally to how code moves through CI and reaches production. As this is a rapidly growing platform, many workflows and processes are still maturing. You will define what a great development experience looks like and drive the organization toward it.

As part of the team, you will:

- Own and drive the strategy for developer experience improvements across the entire JCP platform.

- Optimize build systems (Gradle, Nx, and others) for faster builds, better caching, and reliable reproducibility at scale.

- Set up AI development pipelines, managing context, agents, and handoffs, and leveraging tools developed within the JCP.

- Improve CI/CD pipelines – reduce build times, increase reliability, optimize resource usage, and shorten feedback loops across TeamCity and GitHub.

- Improve containerized development workflows (Docker, Dev Containers) to ensure fast and consistent local environments.

- Identify and eliminate bottlenecks in the development cycle – from code commit to production deployment.

- Establish best practices, tooling standards, and shared infrastructure that enable all teams to move faster.

- Collaborate with platform and product teams to understand pain points and deliver high-impact improvements.

We are looking for someone who:

- Has extensive experience with build systems (Gradle, Maven, or Bazel) and a track record of optimizing them at scale.

- Has strong expertise in CI/CD systems (GitHub Actions, TeamCity, Jenkins, or similar) and knows how to ensure high performance and reliability.

- Has hands-on experience with Docker and containerized development workflows.

- Understands the full software development life cycle and can reason about developer productivity holistically.

- Is able to drive cross-team initiatives and influence engineering practices across a large organization.

- Is motivated by making other engineers more productive and removing friction from their daily work.

We'd be particularly thrilled if you:

- Have experience improving the developer experience at scale in a platform or infrastructure organization.

- Have worked on AI-driven development pipelines.

- Have expertise in build caching, remote execution, and incremental build strategies.

- Have contributed to or maintained open-source build tooling or CI/CD infrastructure.

- Enjoy digging into performance problems and turning slow, flaky processes into fast, reliable ones.

#LI-MP1

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. More than 11 million users consistently choose our tools, and 88 Fortune Global Top 100 companies are our valued customers.

TeamCity is a powerful continuous integration and continuous delivery (CI/CD) tool by JetBrains, designed to automate the build, test, and release process, ensuring high-quality software delivery. TeamCity is used by development and DevOps teams.

We’re looking for a proactive and communicative QA specialist with a strong technical background who will ensure our product is of the highest quality. A successful candidate should have experience testing complex and mission-critical software, a wide area of expertise in IT, and a passion for improving TeamCity.

Responsibilities: 

• Optimizing TeamCity for efficient and reliable deployments.
• Exploring and verifying the high availability and scalability of TeamCity.
• Exploring and setting up various cloud services in testing infrastructure.
• Improving product security by testing existing fixes and new security features, such as 2FA or detecting security anomalies in build processes.
• Analyzing and testing fixes for production incidents.
• Performing various types of manual testing, such as regression, integration, and exploratory.
• Working closely with all members of the team.
• Providing technical support to TeamCity customers – duties related to issue tracking based on requests from external users and support for them.
• Contributing your own ideas to improve the product.
• Staying updated on the latest software development trends and strategies.
• Researching and learning new technologies, including setting them up, reading documentation, collaborating with developers, and reproducing existing test cases.
• Providing developers with recommendations on how to make the product more user-friendly, including advocating for user interests.

Requirements: 

• At least three years of experience in QA for complex projects, such as web services and backends.
• Strong knowledge of web technologies and HTTP.
• Basic knowledge of SQL and scripting.
• Ability to work without detailed functional specifications.
• Strong communication skills, with the ability to explain complex concepts in simple terms.
• Willingness to reproduce complex issues, even when others have given up.
• Fluency in written and spoken English.
• Passion for continuing a career in QA and willingness to explore and learn various technologies.
• Critical thinking and problem-solving skills.
• Ability to be a team player and work independently with minimal supervision.
• High level of independence, the ability to seek help, and the skill to properly formulate requests.
• User-first mindset when it comes to software development.
• Knowledge of at least one programming language (Java, Python, C#) at a level sufficient to write simple applications.
• Knowledge of one of the cloud platforms at the level of deployment.

Preferable: 

• Expertise in CI/CD techniques.
• Experience in Docker deployment and Kubernetes.

#LI-DNI

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

We’re looking for an experienced QA Automation Engineer to join our Dev Environments team and help ensure the quality and reliability of WSL, Docker, Kubernetes, Dev Containers, and other virtualized development environment tooling within the IntelliJ-based product family.

As a QA Automation Engineer, you're not just writing tests – you're:

• Strengthening the team's confidence in product quality: Your automation allows the team to iterate quickly while maintaining stability.
• Partnering with QA Engineers to drive a culture devoted to quality: You advocate for testability and quality throughout the development process.
• Solving challenging problems: Testing developer tools allows you to work in complex technical scenarios and flex your strong investigation skills.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated test scenarios (UI, E2E, and functional) across various operating systems (Linux, Windows, macOS) and environments like Docker and WSL.
• Expand test coverage for new and existing functionality.
• Improve existing automation based on team feedback, reduce test flakiness, and automate routine checks.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Contribute to frameworks and tools with product-specific extensions as needed.

Quality assurance

• Monitor test execution results and investigate failures.
• Participate in release quality assessments.
• Collaborate with QA Engineers and developers on testability and quality improvements:
• Participate in design discussions to reveal risks early.
• Suggest testing approaches.
• Deal with regressions before they reach users.
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed, for example by reporting bugs in YouTrack and verifying that they are fixed.
• Fill the gap between manual testing and automated execution by co-authoring test plans and aligning quality strategy within the team.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• Ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail, even while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English (written and verbal).
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• Ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

At JetBrains, we have a passion for building the strongest, most effective developer tools in the world. Our tools are designed to give developers the freedom to grow, discover, and create. Over eight million of the world's most dynamic developers speed up their workflows using our products, which help them stay focused on code design and the big picture, allowing them to deliver more creative and effective results.

The remote development functionality in JetBrains products redirects IDE-heavy processing from a local machine to a powerful remote server, reimagining how developers work. With hardware performance no longer a limitation, developers can work from anywhere while benefiting from improved security, stability, and reliability.

We're looking for a QA Automation Engineer to join the Remote Development team and help ensure that the products software engineers around the world rely on daily are of the highest quality.

You'll work alongside QA Engineers to design and implement automated testing scenarios that catch issues before they reach our users, cover regressions with automated tests, and improve automation processes within the team.

What you'll do

Core responsibilities

Test automation 

• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL.
• Expand test coverage for new and existing functionality.
• Monitor automated test execution results.
• Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment).
• Optimize test execution time and reliability.
• Improve test automation stability and contribute to automation frameworks.

Quality assurance 

• Report bugs in YouTrack and verify that they are properly fixed and backported. 
• Participate in release quality assessments.
• Collaborate with QA and developers on testability and quality improvements. 
• Help define test strategies and quality gates for your team.
• Support manual QA activities when needed.

Continuous improvement 

• Define and track quality metrics, including testing coverage, failure rate, and flakiness.
• Identify gaps in test coverage and propose solutions.
• Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope.
• Share knowledge about automation best practices with other team members.
• Work with the tooling team to adopt new frameworks and practices.

What we're looking for

Required skills

Technical foundation

• Proven experience in test automation.
• Solid programming skills in Kotlin or Java and a good understanding of the JVM.
• Experience with test frameworks: JUnit or TestNG.
• Understanding of software testing principles and methodologies.
• Familiarity with CI/CD tools (TeamCity or similar).
• Experience with reporting tools (Allure or others).
• Version control experience (Git).

Quality mindset

• The ability to isolate root causes and distinguish product bugs from environment issues.
• Attention to detail while maintaining focus on overall quality goals.

Collaboration

• Excellent communication skills in English, both written and verbal.
• Experience working in cross-functional teams and collaborating with other teams.
• Comfort with giving and receiving constructive feedback.
• The ability to grasp new concepts quickly and to work both in a team and independently.

Nice to have

• Experience testing developer tools, IDEs, and desktop applications.
• Experience building automated testing infrastructure and processes.
• Experience in performance testing.
• Experience in manual testing.

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

About the Role

We are looking for an experienced Senior Analytics Engineer to join our cross-functional product engineering team. In this role, as part of a modern, product-centric technology organization working with agile methodologies, you will play a key role in shaping and building analytics capabilities that turn complex music usage and copyright data into meaningful and reliable insights.

By driving the design and evolution of high-quality data models, enabling reliable business metrics, and delivering trusted data insights, you will help music societies and publishers better understand their data and accurately compensate songwriters and composers when their music is used around the world.

While the primary focus of the role is analytics engineering, this position also offers exposure to data engineering, including working with ETL/ELT pipelines, data ingestion to ensure reliable and scalable data flows that support analytics and reporting needs.

Key Responsibilities:

• Partner with stakeholders to translate complex business questions into scalable data models and analytics products, owning the delivery and quality of those products within a cross-functional team.
• Design and deliver impactful dashboards and reporting solutions providing clear insights for business stakeholders.
• Design scalable analytics data models and transformation pipelines, and define reusable datasets, business metrics, and semantic layer components used for reporting and analysis.
• Collaborate with platform and data engineers to design, improve, and scale ETL/ELT pipelines.
• Continuously optimize data workflows and transformations for performance, scalability, and cost efficiency.
• Ensure high standards of data quality and reliability across analytics datasets, pipelines, and reporting layers by implementing validation checks and monitoring.
• Ensure documentation, lineage, and dataset definitions are complete and consistently maintained across analytics assets.
• Contribute to the design and improvements of analytics platform architecture by proposing different approaches to the use of warehouses, reporting tools, and analytics services within the team.
• Mentor and support business users in effectively leveraging data visualization and analytics tools.

Requirements and Qualifications:

Required

• Strong SQL expertise and extensive experience designing scalable data models in modern data warehouses.
• Deep understanding of data modeling principles, including dimensional modeling and star schemas.
• Proven hands-on experience working with Snowflake data warehouse.
• Strong understanding of ETL/ELT architecture and data ingestion pipelines.
• Experience building data transformation pipelines within a modern data platform.
• Experience building dashboards and reports in BI tools.
• Proven experience building business-facing dashboards and reporting solutions.
• Strong analytical and problem-solving skills.
• Familiarity with AWS cloud platform.
• Experience with Python or other scripting languages for data processing or automation.
• Experience working with containerized environments (e.g., Docker) to support development and deployment of data pipelines and services.
• Ability to write clean, maintainable, and modular code.
• Experience using GitHub in collaborative development environments.

Nice to Have

• Experience with AWS QuickSight / Quick Suite.
• Experience implementing data quality monitoring and validation frameworks.
• Hands-on experience building data ingestion pipelines.
• Exposure to AI-enabled analytics solutions, such as systems that allow users to query data using natural language.

Role

As a Senior Research Scientist focused on Robotic Foundation Models, you will be responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable ML models  required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure and architecture of large-scale robotic foundation models.
• Oversee the training and deployment of robust ML models for high-performance robotic applications.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics.
• Experience collaborating on medium to large software projects for at least 4 years.
• Experience in programming Python / C++ and machine learning frameworks (Tensorflow, JAX).
• Demonstrable experience with offline Reinforcement / Imitation Learning in a robotics context.
• Proven ability to work with a team, setting directions and driving towards solutions.

Skills that will differentiate your candidacy

• Academic track record of publications in the field of offline Reinforcement / Imitation Learning in Robotics.
• Experience with Robotic Foundation Models / Vision-Language-Action Models.
• Experience with Online Reinforcement Learning and / or Computer Vision for Robotics.
• Experience with deploying ML services at scale, e.g., via cloud computing and containerization (Google Cloud, Docker, Kubernetes), databases (SQL, no-SQL), and service-oriented architecture frameworks.

Role

As a software engineer focused on MLOps and deep learning infrastructure, you will design and build the foundational systems that empower robots with advanced machine learning capabilities. You will work within a cross-functional team of engineers and researchers to develop infrastructure that streamlines the training, evaluation, and deployment of large-scale AI models. Your efforts will provide accessible tools for injecting machine learning techniques into the Intrinsic stack, managing compute resources across cloud and on-premise environments, and ensuring that complex model lifecycles are efficient, reliable, and scalable for real-world industrial applications.

How your work moves the mission forward

• Design and implement scalable infrastructure for training and deploying deep learning models on top of a real-time robotic control stack.
• Help optimize data loading and training speed across 1000+ GPU training jobs.
• Build data pipelines that support distributed computing to process large volumes of robotics data for model training.
• Develop APIs and tools that allow internal and external researchers to easily integrate machine learning techniques into their workflows. This could involve leading efforts  to open source models and engage with the community.
• Optimize the allocation of compute resources, such as GPUs and TPUs, to reduce cost and latency during model development and create orchestration workflows to successfully run jobs on GKE.
• Create tools for model understanding and analysis to ensure reliability and traceability across the machine learning lifecycle.

Skills you will need to be successful

• Bachelor's degree in Computer Science, Robotics, Machine Learning, or a related technical field.
• 2 years of experience in software development with a focus on MLOps or machine learning infrastructure.
• Proficiency in programming with Python and C++.
• Experience with containerization and orchestration technologies, specifically Docker and Kubernetes.
• Experience with deep learning frameworks such as TensorFlow, JAX, or PyTorch.
• Experience with cloud computing platforms like Google Cloud Platform.
• Basic Front-end experience.

Skills that will differentiate your candidacy

• Master’s degree or PhD in Computer Science, Robotics, or a related field.
• Comprehensive knowledge of the entire image processing workflow, from initial sensor data acquisition (drivers, OS) up to the final application logic and decision-making.
• Experience with MLOps toolkits such as Kubeflow.
• Hands on experience with CUDA optimization or deep learning optimization. 
• Experience deploying machine learning models at scale in production environments.
• Familiarity with robotics systems or industrial automation hardware.
• Practical experience debugging distributed systems and optimizing network performance.
• Experience with accelerator orchestration (e.g., XManager).

Role

As a Senior Research Engineer focused on Data Engine, you will be responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable data pipelines and ML infrastructure required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure for training and deploying large-scale robotic foundation models.
• Oversee the building and maintenance of data pipelines for collecting, processing, and feeding real-world robot data into machine learning workflows.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• Four-year degree in Computer Science.
• Experience collaborating on medium to large software projects for at least 4 years.
• Experience in programming Python / C++.
• Experience with machine learning (Tensorflow, JAX), cloud computing and containerization (Google Cloud, Docker, Kubernetes), database (SQL, no-SQL), and service-oriented architecture frameworks.
• Proven ability to work with a team, setting directions and driving towards solutions.

Skills that will differentiate your candidacy

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics.
• Academic track record of publications in the field of Machine Learning and / or Robotics.
• Experience with Robotic Foundation Models / Vision-Language-Action Models.
• Experience with deploying ML services at scale.

The Role 

We are seeking a highly skilled Senior Software Engineer with expertise in designing and implementing scalable, data-driven systems. The ideal candidate is passionate about distributed systems, cloud-native technologies, and efficient data processing. The Senior Engineer will play a vital role in building both foundational engineering capabilities for scaling solutions and developing product solutions.

The Responsibilities 

Overall

• Design, develop, and maintain scalable backend services using Golang and Python.
• Build and optimize APIs using gRPC || GraphQL || REST to support high-performance applications.
• Deploy, manage, and monitor containerized applications using Docker and Kubernetes.
• Design and manage databases (SQL/NoSQL) to handle large-scale data efficiently.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring.
• Work collaboratively with product managers, frontend engineers & researchers to deliver end-to-end solutions.
• Ensure application security, performance, and scalability best practices.
• Troubleshoot and optimize system performance, bottlenecks, and data pipelines.

Everyday

• Iterative updates and product development
• Planning, estimations, diagrams
• Prototyping for new features
• Agile sprint-based team cadence
• Brainstorming solutions with peers

The Requirements 

• 2+ years of experience in full-stack development.
• Strong proficiency in Golang || Python || TypeScript or similar languages.
• Experience with Kubernetes, Docker, and cloud-native application development.
• Hands-on experience with gRPC / GraphQL / REST APIs and microservice architecture.
• Knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
• Familiarity with scalable data processing techniques.
• “You build it, you run it” - Experience with monitoring, logging, and observability tools.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and teamwork skills.
• Understanding of DevOps practices.

Desired

• Experience with cloud platforms (GCP [preferred], AWS, or Azure).
• Knowledge of event-driven architectures and message brokers (e.g., Kafka, RabbitMQ).
• Familiarity with streaming technologies.
• Exposure to frontend frameworks (React [preferred], Vue.js, or Angular).
• Understanding of infrastructure-as-code (Terraform, Helm).