Location: Germany
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Vancouver, BC
At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. As a Software Engineer on our API and Developer Platform team in Vancouver, you will help make our developer platform come to life for AI, owning the gateways that enable data flow into and out of Asana. You’ll use your engineering experience to design intuitive and secure interfaces, partner with other product teams to enable new API features, and improve the holistic experience for external developers and AI agents. By joining our team, you will contribute directly to an agentic future for the enterprise and collaborate within a high-performing engineering environment.
This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Shape and own the guidelines for what constitutes excellent API design, partnering with internal engineering teams to enable them to implement best practices in a self-service manner.
Collaborate with Product Management, Design, Data Science, and User Research to gain a deep understanding of developer needs and translate them into elegant, scalable platform solutions.
Contribute across the full stack using Scala and Typescript to continuously improve the experience for external developers and AI agents.
Drive code quality and maintainability by developing clean, beautiful code and proactively leaving systems better than they were found.
Partner with cross-functional stakeholders to influence the roadmap for our Model Context Protocol (MCP) server.
About you
6+ years of experience working within large, complex codebases.
1 or more years of experience building public-facing API products or developer platforms.
Excellent communication and collaboration skills for partnering effectively with cross-functional teams.
Ability to learn quickly and comfortably transition between different areas of a large codebase.
A strong appreciation for productivity and a deep care for helping teams—including your own—collaborate more effectively and efficiently.
Excitement to contribute to an inclusive culture where every team member is encouraged to bring their whole self to work.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $176,000 - $200,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-HC1
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Transforming 50M+ daily events into real-time actionable dashboard insights
The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform.
This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions.
Your Mission & Who We Are Looking For:
- 3+ years as a Product Owner in a fast-paced environment. You have hands-on experience with agile development and a track record of taking features from concept to launch. At adjoe, you'll own the Advertiser Tools product end-to-end, managing a dedicated development team, driving the roadmap, and making strategic decisions that directly impact advertiser performance.
- High ownership, low ambiguity tolerance. You prioritize ruthlessly based on user and business needs, work independently, and make objective calls when requirements are still evolving. You've delivered at least one significant 0-to-1 product iteration and know what it takes to ship at pace without sacrificing quality.
- Bridges business and engineering naturally. You're as comfortable presenting a product roadmap to management and external partners as you are discussing technical tradeoffs with engineers. You close the gap between what the business wants and what the system can realistically deliver.
- KPI-driven team lead. You manage team progress with a strong focus on delivering measurable impact for our advertisers and create solutions that meet their goals.
- Develops the people, not just the product. You guide and grow the individuals on your team, helping them operate at their best even as requirements and priorities shift.
- Plus: AdTech background. Experience in an adtech company is a plus, not a requirement.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the US and Canada.
The Opportunity:
Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining, and scaling their own observability stack.
The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises.
As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes.
We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities.
What You’ll Be Doing:
Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).
What Makes You a Great Fit:
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
What will you be doing? (Role specifics)
As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure.
Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle
What technical competencies are we looking for?
Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture
What are your "nice to have" technical competencies?
Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling
In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the US and Canada.
The Opportunity:
Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining, and scaling their own observability stack.
The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises.
As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes.
We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities.
What You’ll Be Doing:
Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).
What Makes You a Great Fit:
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
What will you be doing? (Role specifics)
As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure.
Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle
What technical competencies are we looking for?
Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture
What are your "nice to have" technical competencies?
Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling
In the United States, the compensation range for this role is $174,986 - $209,983 USD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX)
own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE)
embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer.
When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed;
you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for
.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack.
Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engine
Location: Montenegro; Slovenia; Slovakia; Moldova; Romania; Poland
The position is open for a global, publicly traded AdTech market leader. The company's platforms handle over 1 trillion requests per day, operating within a highly optimized real-time cloud architecture across dozens of servers and processing terabytes of data daily.
The engineering team focuses on intense performance optimization, low-latency infrastructure, asynchronous data streaming, and cutting-edge GenAI research and development.
Salary: upto
$5,000 USD / month.
Format:
Full-time. Hybrid (Budva, Montenegro) or 100% Remote globally
Contract Type:
B2B Contract
Responsibilities
Design, scale, and maintain real-time advertising bidding systems (DSPs, RTB Exchanges, and SSP platforms).
Optimize backend services using Java (Spring Boot / WebFlux) and Go (Golang) to meet strict low-latency SLA/SLO targets.
Build and manage data-intensive architectures utilizing high-load storage solutions (Aerospike, ClickHouse) and event-driven messaging (Apache Kafka).
Participate in R&D initiatives involving GenAI, integrating Agentic AI frameworks (LangChain, LangGraph, N8N) for workflow automation and predictive analytics.
Take full ownership of features end-to-end, contributing to the frontend layer (React / TypeScript) for internal tools and dashboards when required.
Requirements
5+ years of commercial software development experience with Java as the primary language.
Deep knowledge of the Spring ecosystem (Boot, Data, MVC, Security, Cloud) and strong practical experience with reactive/asynchronous programming (Spring WebFlux / Project Reactor).
Solid understanding of distributed systems, concurrency, and performance tuning at the JVM level.
Strong verbal English skills at B2 level or higher, with the ability to explain architectural decisions and collaborate directly with a global engineering team during voice calls.
Location outside of the Russian Federation due to contractual and payment restrictions. Candidates from Belarus are eligible only if they possess an active legal entity/IP in Georgia or Europe for international payments.
Commercial programming experience or strong familiarity with Go (Golang).
Hands-on experience with high-load and Big Data tools including Apache Kafka, ClickHouse, and Aerospike.
Real-world experience or deep interest in LLMs and AI orchestration tools such as LangChain, LangGraph, or N8N.
Familiarity with frontend development using ReactJS and TypeScript.
Benefits
Opportunity to work on production infrastructure handling 1 trillion + daily requests.
Work within a team of senior engineers with direct impact on the platform's architecture.
Choice between a fully remote schedule or a hybrid format from the office in Budva, Montenegro.
Stable monthly payments in USD via international B2B contracts.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house hardware R&D team.
The team
You will join a small, highly focused frontend engineering team responsible for building internal interfaces that power Nebius’s GPU cloud and data center operations. The team develops tools that automate infrastructure deployment, server operations, network management, and logistics workflows across global data center environments.
This role is part of the wider infrastructure and operations organization and works closely with engineering teams responsible for cloud infrastructure, deployment automation, and production operations.
The role
We are seeking a Senior Frontend Engineer to design and build internal platforms that support automation and operational management across Nebius data centers and GPU cloud infrastructure.
This is a highly autonomous role focused on developing reliable, scalable user interfaces for infrastructure-heavy environments. You will work across systems related to server operations, network management, logistics, and deployment workflows while partnering closely with infrastructure and operations teams.
Your responsibilities will include:
Designing and developing internal web applications that automate data center and infrastructure operations.
Building user interfaces that support server management, network operations, deployment workflows, and logistics processes.
Collaborating with infrastructure, operations, and platform engineering teams to translate operational requirements into scalable frontend solutions.
Improving reliability, usability, and operational efficiency across internal tooling platforms.
Working closely with European-based frontend engineers to align on architecture, standards, and development practices.
Supporting deployment and operational workflows across GPU cloud infrastructure environments.
Contributing to frontend architecture decisions, component design, and long-term maintainability of internal systems.
Participating in code reviews, technical discussions, and continuous improvement initiatives across the engineering organization.
We expect you to have:
Strong experience with JavaScript and/or TypeScript.
Hands-on experience building modern frontend applications using React.
Experience working with Docker and containerized development environments.
Strong Linux knowledge and command-line proficiency.
Experience supporting, deploying, or troubleshooting applications in production infrastructure environments.
Strong problem-solving skills with the ability to operate independently in high-responsibility environments.
Ability to collaborate effectively across distributed teams and time zones.
A proactive, ownership-driven mindset with strong communication skills.
Nice to have:
Experience with frontend state management libraries and patterns.
Background working in infrastructure, cloud, or data center environments.
Familiarity with deployment automation or operational tooling.
Experience building internal developer or operations-focused platforms.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$122,880
—
$184,320 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: United Kingdom; Ireland; Dublin; Croatia; Hungary; Bulgaria; Sofia; Belgium; Denmark; Portugal; Poland; Sweden; Italy; Madrid; London; Czechia; Amsterdam
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re looking for a Security Engineer to join the ElevenLabs Security team. In this role, you’ll work at the intersection of security, software and infrastructure engineering, building the platforms, controls and tooling that let teams ship and operate cloud infrastructure securely at high velocity.
You will:
- Design and build security tools and guardrails that integrate directly into our infrastructure and products
- Partner with Engineering and Infrastructure teams to review application architectures, develop threat models and build in secure by default patterns throughout the software development lifecycle
- Identify, prioritise and remediate security vulnerabilities, working directly with engineers and contributing to fixes where required, across the entire stack.
- Ship new security features which directly improve the security posture of our products in production
- Design and implement supply chain security controls across build and deployment pipelines, including artefact signing, provenance, dynamic admission controls and SBOM generation
REQUIREMENTS
- Strong engineering background, with experience building and shipping production systems
- Proven track record of building and scaling security programs
- Fluency in at least one programming language (Python, Typescript, Golang etc) with the ability to read, write and maintain production quality code
- Hands on experience in cloud-native environments (AWS or GCP), Kubernetes, and infrastructure-as-code (Terraform)
- Strong understanding of cloud security fundamentals: IAM, networking, PKI, linux internals
- Experience securing CI/CD pipelines to prevent supply chain attacks
Bonus:
- Experience securing AI or Machine Learning systems, including training pipelines
- Background in developer experience or platform engineering, especially building developer tooling
- Contributions to open source security projects, published research or talks at security conferences
- Experience working in regulated environments (SOC 2, ISO27001, PCI, HIPAA or similar)
LOCATION
This role is remote and can be executed globally. However, to facilitate working with the Security Team, we prefer candidates based in GMT to GMT+3 or UK. If you prefer, you can work from our offices in London or Warsaw
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: New York
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for a Growth Engineer to own the technical foundation of Modal’s marketing and developer-facing web surfaces: the marketing site, docs site, growth landing pages, high-profile microsites, forms, analytics instrumentation, and the integrations that help users discover, understand, and get started with Modal.
This is a frontend-heavy role for someone with strong product taste, web engineering craft, and a business-owner mindset. You’ll partner with Product Engineering, Design, Data, and Growth to ship polished, measurable web experiences, from high-profile projects like the GPU Glossary https://modal.com/gpu-glossary and LLM Engine Advisor https://modal.com/llm-almanac/advisor to internal tooling that helps teams publish content faster.
When this role is going well, Modal launches new pages, docs experiences, campaigns, and experiments quickly without sacrificing performance, craft, or measurement.
WHAT YOU’LL WORK ON:
- Own and evolve Modal’s marketing site, docs site, and technical web experiences as high-quality engineering systems, not static content
- Build bespoke interactive projects with engineers, turning deep technical work into useful web experiences for developers and agents
- Instrument all public-facing content, all the way from human-facing marketing pages to agent-targeted, self-improving documentation
- Improve internal publishing flows so more teams can ship quality content quickly while keeping the site maintainable
YOU MAY BE A FIT IF:
- You’ve built and shipped modern web applications end-to-end
- You have experience with agentic development flows where agents consume marketing content and docs to help developers build on Modal
- You can build polished, responsive web experiences without needing every detail specified
- You have a business-owner mindset and strong data intuition: you think about conversion, activation, developer trust, speed of launch, and quality of measurement, and the tradeoffs inherent to each
- You’re excited about developer-facing AI infrastructure and building web experiences that feel credible to engineers
- You’re able to work in person in our NYC office
We care more about what you’ve built than years of experience.
NICE-TO-HAVE:
- Deep knowledge of SEO, AEO, structured content, or agentic discoverability
- Experience with marketing sites, docs sites, or product-led-growth surfaces at a devtools, infra, or AI company
- Familiarity with our stack: Svelte/SvelteKit, TypeScript, Tailwind, Vite, MDX/SVX content systems, headless CMS (Sanity), Playwright/Vitest
- Familiarity with our integrations: Segment, Snowflake, PostHog, Sentry, Algolia/DocSearch, Fillout, Pylon, Ashby
- Experience designing growth experiments, A/B tests, or funnel instrumentation
- A portfolio of polished sites, docs systems, interactive demos, or growth experiments
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU'LL DO
- Scale document ingestion and processing that is growing at 10x every 6 months
- Design massive data collection from over 50+ legal jurisdictions
- Build government-level security for top governments and firms
- Lead projects that delight customers in bringing AI to web, desktop, mobile, Google Docs, MS Word, and API experiences.
- Build AI-platform and AI-native features like agentic orchestration layers, tool calls, and retrieval systems.
- Ship across the full stack—leveraging React and TypeScript on the frontend alongside Python and Postgres on the backend—to architect intuitive UX and robust APIs for streaming results, long-running processes, and complex tool-calling workflows.
WHAT YOU HAVE
- 10+ YoE (post-BS/MS) in a product focused full-stack software engineering role.
- Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.
- Track record of building fast-growing SaaS products.
- Track record of shipping highly intuitive products, strong attention to detail.
- Experience building scalable and extensible solutions across the stack that can support multiple product lines.
- Strong programming skills and general Computer Science knowledge.
- Grit - experience working at early-stage startups is a plus.
COMPENSATION
$231,000 - $314,350 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-NG1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Задачи:
— Разработка desktop приложений на TypeScript + React (Electron / Tauri).
— Работа с Node.js, WebSocket, стримингом и очередями.
— Интеграция топовых AI-провайдеров и работа с локальным инференсом.
— Создание функционала AI-агентов (tool calling, automation, sub-agents).
— Интеграции с Telegram, Discord, Slack и WhatsApp.
— Релизы, CI/CD и обеспечение качества продукта.
Требования:
— 2+ года коммерческого опыта с TypeScript, Node.js и React.
— Реальный опыт работы с Electron или Tauri.
— Уверенное владение WebSocket, Docker и GitHub Actions.
— Активное использование AI-инструментов в работе.
— Английский для чтения документации и рабочих задач.
Будет плюсом:
— Знание Python (FastAPI), MCP и опыт LLM-интеграций.
— Опыт с Playwright или нативными API macOS/Windows.
Условия:
— Работа в офисах в Санкт-Петербурге и Москве.
— 28 дней отпуска.
— Компенсация профессионального обучения и курсов.
— Гибкое начало рабочего дня.
— Работа над передовым продуктом в сфере искусственного интеллекта.
— Постоянный обмен опытом и возможность быстрого роста.
Location: Poland; Romania; Bulgaria; Ukraine; Serbia; Spain
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a Front-End Engineer to build and maintain intuitive, high-performance user interfaces for a rapidly scaling web application. This is a remote front-end developer job ideal for someone who thrives in a product-driven environment and enjoys translating design concepts into responsive, pixel-perfect experiences.
You will collaborate closely with designers, backend engineers, and product teams to deliver exceptional UI/UX while ensuring performance, scalability, and maintainability.
Key Responsibilities
Develop and maintain responsive, high-quality user interfaces using React.js and modern JavaScript (ES6+)
Translate UI/UX designs into clean, scalable, and reusable code
Optimize applications for maximum speed, performance, and cross-browser compatibility
Collaborate with product managers, designers, and backend engineers to deliver new features
Write clean, maintainable, and well-documented code following best practices
Integrate APIs and work closely with backend services
Participate in code reviews and contribute to improving development processes
Requirements
5+ years of experience in front-end development
Strong proficiency in JavaScript, HTML5, and CSS3
Hands-on experience with React.js (or similar frameworks like Vue or Angular)
Experience with state management tools (e.g., Redux, Zustand, or Context API)
Familiarity with RESTful APIs and asynchronous programming
Solid understanding of responsive design and cross-browser compatibility
Experience with version control systems (e.g., Git)
Strong attention to detail and a passion for building exceptional user experiences
Experience with TypeScript
Familiarity with Next.js or server-side rendering frameworks
Experience with modern styling tools (e.g., Tailwind CSS, Styled Components)
Understanding of testing frameworks (Jest, Cypress)
Exposure to performance optimization and accessibility standards
Benefits
💰 Competitive salary based on experience and seniority
🌎 Fully remote role with flexible working hours
🚀 Work on impactful, user-facing products with a global reach
📈 Clear career progression in a high-growth tech environment
🎯 Collaborative, product-driven culture with strong engineering standards
🤝 Direct placement with the client—no outsourcing layers
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
Compute https://supabase.com/compute is our newly launched microVM architecture for running agentic workloads, operating alongside our existing Edge Functions https://supabase.com/docs/guides/functions service for server-side TypeScript functions distributed globally at the edge.
We want developers to be able to build truly global applications by distributing both compute and data globally. Infrastructure concerns like regions, cold starts, CPU and memory provisioning should fade into the background so developers can focus on iterating on business logic, and fast, flexible runtimes a growing range of agent-driven code.
We are looking for experienced and passionate engineers to help us go further in this vision.
WHAT YOU’LL OWN
- Help build & architect the Supabase Compute platform, built on Firecracker microVMs.
- Implementing monitoring, alerting, and OpenTelemetry tracing across the runtime, then using that visibility to drive optimizations that improve latency and reliability of the service.
- Working closely with the Firecracker, Deno, and other open-source teams, contributing to upstream and relaying our users' requirements.
- Participating in an on-call rotation to keep Compute healthy in production.
- Help manage and improve features like scheduled functions, background tasks, WebSockets streaming, ephemeral file storage, and custom routing.
- Integrating Compute more tightly with the rest of the Supabase stack — Auth, Postgres, Storage, and Realtime.
- Expanding the Compute runtime to support more use cases (AI inference, MCP servers, hosting simple websites, URL shorteners).
- Improving the DX of developing and debugging Compute locally through the Supabase CLI, including DevTools integration, logging, and production parity.
WHAT YOU’LL BRING
- At least 5 years of backend or systems engineering experience, with strong fluency in Rust and TypeScript.
- Experience with Firecracker, V8 Isolates, Deno, and related runtime isolation technologies .
- Experience operating infrastructure at scale — Kubernetes, AWS (EC2/Lambda/MicroVM), Cloudflare Workers, Redis, or comparable systems.
- A strong vision for how compute and data can be pushed to the edge.
- Bonus: experience building developer-facing CLIs or front-end tooling that sits on top of an infrastructure product.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Berlin, Germany
Workplace: Remote
ROLE SUMMARY
Enterprise engineering teams adopt Temporal when someone they trust shows them how.
The Staff Developer Advocate, Enterprise (EMEA) is a field-facing technical practitioner embedded in our enterprise motion, focused on helping enterprise engineering teams across Europe adopt and scale Temporal successfully.
This role's primary focus is the Temporal DevDays program, traveling on-site to customer accounts across the EMEA region to deliver hands-on technical enablement tailored to each team's architecture, use cases, and adoption stage. Beyond DevDays, this person runs enterprise office hours, delivers webinars, speaks at conferences, creates technical content, and serves as a trusted technical resource for enterprise developers in our ecosystem.
WHAT YOU'LL DO
- Travel to enterprise customer sites across EMEA (approximately 50% of the time) to deliver Temporal DevDays, our flagship on-site technical enablement program, tailored to each account's use cases, architecture, and adoption stage
- Prepare and deliver hands-on labs, architectural walkthroughs, and workshop sessions that help enterprise engineering teams build confidently on Temporal
- Collaborate with Solutions Architects, Account Executives, and Customer Success to scope and prepare for each engagement and ensure strong outcomes
- Contribute sample applications, lab exercises, and reusable content back to the shared DevDays content library
- Deliver train-the-trainer sessions where appropriate
- Host semi-regular enterprise office hours for EMEA-based engineering teams
- Deliver webinars on enterprise-relevant topics, including complex workflow patterns, AI-powered agentic backends, observability, scalability, and platform integrations, scheduled to serve European time zones
- Partner with the DevDays program owner, DevRel, and field teams to identify topics and formats that matter most to enterprise audiences in the region
- Speak at and attend industry conferences, enterprise developer events, and meetups across Europe relevant to the enterprise engineering community
- Produce technical content—blog posts, tutorials, architectural guides, diagrams, and videos
- Gather structured feedback from DevDays sessions, office hours, and enterprise engagements to surface product gaps, developer experience friction, and adoption blockers from the EMEA market
- Serve as the regional voice of the enterprise developer, bringing EMEA-specific patterns and needs back to the broader DevRel, Engineering, and Product teams
WHAT YOU'LL BRING
- 7+ years of software engineering experience with a strong focus on distributed systems
- Based in Berlin, Germany, with the right to work in Germany
- Proficiency in one or more Temporal SDK languages (Python, Go, Java, TypeScript), with strong working knowledge of distributed systems, state management, and workflow execution concepts
- Demonstrated ability to lead technical workshops, hands-on labs, or enablement sessions for senior engineering audiences
- Experience engaging directly with enterprise engineering organizations, with an understanding of how large teams adopt and scale developer tooling
- Experience mentoring others in a formal or informal capacity
- Comfort with approximately 50% travel within EMEA and occasional international travel
NICE TO HAVE
- Prior experience in a Developer Relations, Solutions Architect, or Solutions Engineering role, especially in an enterprise or field-facing capacity
- Experience delivering enterprise hackathons, on-site enablement sessions, or structured technical workshops
- Familiarity with Temporal Cloud and advanced Temporal patterns, including AI/agentic backends, LLM orchestration, Nexus, and saga
- Existing relationships in European enterprise engineering communities or with platform and partner ecosystems
- Track record of speaking at European technical conferences
- Multilingual — English required. German and Spanish fluency are a strong plus; additional European languages are welcome.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Minsk
Workplace: hybrid
We are looking for a Senior Android Engineer based in Minsk to join our distributed engineering team.
You will work across product and infrastructure, building features for our POS platform while owning the Android device management layer that supports and manages our hardware in the field. You will use AI tools every day as part of how you write, test, and review code. You will work closely with engineers, product managers, QA, and designers across Minsk, Israel, and the U.S.
This role requires 4 days a week in our Minsk office to collaborate with the engineering team, and remote collaboration with the larger team in Israel and the U.S.
Primary location - Minsk, Belarus!
Responsibilities:
POS App Development
Design and implement UI for our Android tablet POS app using Jetpack Compose and Compose Multiplatform, working with our UI/UX designers
Build shared business logic, networking, and data layers using Kotlin Multiplatform
Integrate APIs, third party libraries, and services
Ensure optimal performance, quality, and responsiveness of the application
Debug and resolve software defects and technical issues
Write clean, maintainable, and scalable code
Ship features end to end, from the Compose UI to the backend API changes behind them
Work with the full-stack team on the design of the APIs the app depends on
Debug issues that cross the app and the services it calls
Collaboration
Work closely with product managers to turn requirements into technical solutions
Participate in Agile ceremonies and cross-functional planning sessions
Communicate clearly across time zones with teams in Minsk, Israel, and the U.S.
Be available for at least 3 hours of daily overlap with U.S. Eastern time zone
Required Qualifications:
Android App Development
5+ years of commercial Android development experience
Excellent knowledge of Kotlin
Deep knowledge of Jetpack Compose is a must
Proficiency in Material 2/3 and Atomic design
Deep knowledge of Coroutines & Flow
Understanding of MVVM / MVI patterns
Familiarity with RESTful APIs using Ktor or Retrofit
Experience with Dagger/Hilt or Koin
Experience with SQLite, directly or through Room
Ability to work with foreground services, WorkManager, and Broadcast Receivers
Full-Stack Reach
Production experience with JavaScript or TypeScript
Production experience building or extending backend services and APIs, ideally in Node.js
Comfortable working in unfamiliar code with the help of AI tools
General knowledge
Experience using AI tools such as GitHub Copilot, Cursor, or Claude as a core part of daily work
Fluency in English
Nice to Have
Experience with Android device management (MDM, kiosk mode, Android Enterprise)
Experience with a modern web frontend framework, such as Vue, React, or Angular
Experience with databases such as Postgres and MongoDB
3 days per week in our Minsk office
At least 3 hours of overlap with U.S. Eastern time zone each day
What We Offer:
Hybrid/on-site/remote in Belarus/Minsk work opportunity!
Stable job with long-term growth perspective.
Competitive salary with annual performance review.
Top-tier hardware to support your productivity.
An exciting and challenging job with talented people around.
Continuous learning and career growth opportunities.
Compensation for professional training, seminars, and conferences.
Referral program – get rewarded for helping us grow the team with talented people.
Company-supported English classes to enhance your professional growth.
About us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
About NRS:
National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada.
NRS is now expanding into a completely new vertical: restaurant technology. We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company. This is a real opportunity to help build something new and important.
It seems like you are interested if you are here, so let’s chat!
Location: Poland; Portugal; Ireland; Germany
Workplace: Remote
Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A.
We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier.
If you want to do the best work of your career, this is the right place.
ABOUT THE ROLE
Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality.
We’re looking for a Senior Product Engineer who takes pride in pushing boundaries, obsesses over details, and wants to help reinvent how millions of people work.
WHAT YOU'LL DO
- Use your strong expertise in TypeScript/Node.js/GCP to move the company and product forward
- Lead projects end-to-end to solve real customer problems
- Architect the systems which power new features to support our high standards of performance, reliability, security and scale, and re-architect existing systems as their scaling demands grow
- Design REST API contracts for both internal and external consumers that are easy to work with
- Represent Attio’s Product & Engineering values both internally and externally
WHAT YOU'LL BRING
- Experience designing scalable, reliable, secure backend systems
- Excellent knowledge of modern Cloud Native systems architecture
- Expertise with Node.js and TypeScript
- A track record of ownership and product delivery
- A proactive, self-motivated problem solving attitude, with a strong passion for advancing and innovating in distributed systems
- The ability to communicate technical ideas to the wider team and influence stakeholders across Engineering, Product and Design
Nice to have:
- Experience contributing to, or participating in open source projects
- An interest or experience in mentoring other members of the team
- Experience working with data-rich backend applications, or processing large volumes of real-time data
- A love for experimenting with new ideas, tools and techniques, and exploring new technologies
WHAT WE OFFER
- Equity in an early-stage tech company on an incredible trajectory
- Apple hardware
- Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)
- Location specific benefits
nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland
seniorVancouver, BC
Гибрид🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
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Canada (Remote); We are looking for candidates in the US and Canada
United States (Remote); We are looking for candidates in the US and Canada
УдалённоseniorArmenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia
УдалённоseniorПротиворечивые условия: Candidates from Belarus are eligible only if they possess an active legal entity/IP in Georgia or Europe for international payments
УдалённоseniorRemote - United States; Ability to collaborate effectively across distributed teams and time zones
УдалённоUnited Kingdom; Ireland; Dublin; Croatia; Hungary; Bulgaria; Sofia; Belgium; Denmark; Portugal; Poland; Sweden; Italy; Madrid; London; Czechia; Amsterdam; However, to facilitate working with the Security Team, we prefer candidates based in GMT to GMT+3 or UK
New York
ГибридSan Francisco; We use an in-person work model and offer relocation assistance to new employees
УдалённоBerlin, Germany; Deliver webinars on enterprise-relevant topics, including complex workflow patterns, AI-powered agentic backends, observability, scalability, and platform integrations, scheduled to serve European time zones
ГибридseniorCommunicate clearly across time zones with teams in Minsk, Israel, and the U.S; Eastern time zone; Eastern time zone each day
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