Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it.
As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render.
This is a remote role within the US, with the option to work out of our headquarters in San Francisco.
WHAT YOU'LL DO
- Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows.
- Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run.
- Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand.
- Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it.
- Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on.
- Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs.
- Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics.
- Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work.
WHAT WE'RE LOOKING FOR
- 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company.
- Experience setting technical direction and raising the bar for a team.
- Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end.
- Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs.
- Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems.
- Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them.
- Excellent technical writing. You know what world-class developer content looks like.
- A track record of owning projects end to end with little direction.
- Strong intuition for developer tools and a love of well-crafted user experiences.
NICE-TO-HAVES
- You've used Render before, professionally or on side projects.
- Experience with AEO or SEO, or with measuring how content performs in LLM answers.
- A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog.
- Experience presenting workshops and technical talks.
SOME PROJECTS YOU MIGHT WORK ON
- A video series on building and deploying an MCP server on Render.
- A sample app for an upcoming launch, built with Product and Engineering ahead of release.
- An agent skill that turns a tutorial into a tested, deployable template.
- Tracing why coding agents fail on a specific docs page, then shipping the fix.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
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 opportunity and we are looking for candidates from the U.S.
The Opportunity
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You'll Be Doing
Agentic Systems & AI Infrastructure
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Enablement
Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit
8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA
In the United States, the base compensation range for this role is USD
$154,445
- USD $185,334. 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: 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 opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role.
The Opportunity
Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.
This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.
What You'll Be Doing
Agentic Systems & AI Infrastructure
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths
Systems Integration & Backend Services
Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure
Automation & Workflow Enablement
Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently
We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.
What Makes You a Great Fit
8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders
Bonus Points
Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA
In Canada, the base compensation range for this role is CAD 164,490
- CAD
197,389
. 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: Remote (United States)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
We're looking for an experienced full-stack Documentation Platform Engineer to evolve our
documentation
site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers.
You'll build, maintain, evolve, and support the platform and tools that internal teams and external contributors use to showcase Tailscale's features and products. This includes the documentation platform itself, our content pipelines, API documentation, and search. You'll work on a highly-visible customer-facing documentation site and you'll influence how documentation gets created, published, and consumed.
Key Responsibilities
Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features.
Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly.
Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform.
Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production.
Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly.
Work with open source contributors through GitHub discussions, issues, and pull requests.
Monitor the platform's performance and maintain scalability for millions of visitors per month.
Stay ahead of documentation trends through research, experimentation, and measuring results.
What We Are Looking For
You have a proven track record of building, extending, maintaining, and deploying documentation sites using static site generators like Hugo or Docusaurus, or documentation platforms built on NextJS, Astro, or other similar tools.
You are familiar with a docs-as-code publication workflow, and you understand the impact that a good documentation experience has on user awareness, adoption, and growth.
You are fluent in TypeScript / JavaScript and React, and are comfortable with Python, command-line interfaces, shell scripting, and Git,
You are comfortable with modern HTML and CSS and can implement designs provided by others.
You have experience with CI/CD pipelines, automated testing, and automation for content or documentation workflows to reduce repetitive tasks and provide real-time feedback to authors.
You can explain the impact and implications of LLMs as both tools for application development, and as consumers of content that documentation sites publish.
Nice to Have
You have open source experience and are comfortable engaging with contributors on GitHub issues and pull requests.
You understand how LLMs consume and interact with documentation.
You understand multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
US Pay Range
$163,000
—
$204,000 USD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Remote (Canada)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
We're looking for an experienced full-stack Documentation Platform Engineer to evolve our
documentation
site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers.
You'll build, maintain, evolve, and support the platform and tools that internal teams and external contributors use to showcase Tailscale's features and products. This includes the documentation platform itself, our content pipelines, API documentation, and search. You'll work on a highly-visible customer-facing documentation site and you'll influence how documentation gets created, published, and consumed.
Key Responsibilities
Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features.
Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly.
Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform.
Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production.
Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly.
Work with open source contributors through GitHub discussions, issues, and pull requests.
Monitor the platform's performance and maintain scalability for millions of visitors per month.
Stay ahead of documentation trends through research, experimentation, and measuring results.
What We Are Looking For
You have a proven track record of building, extending, maintaining, and deploying documentation sites using static site generators like Hugo or Docusaurus, or documentation platforms built on NextJS, Astro, or other similar tools.
You are familiar with a docs-as-code publication workflow, and you understand the impact that a good documentation experience has on user awareness, adoption, and growth.
You are fluent in TypeScript / JavaScript and React, and are comfortable with Python, command-line interfaces, shell scripting, and Git,
You are comfortable with modern HTML and CSS and can implement designs provided by others.
You have experience with CI/CD pipelines, automated testing, and automation for content or documentation workflows to reduce repetitive tasks and provide real-time feedback to authors.
You can explain the impact and implications of LLMs as both tools for application development, and as consumers of content that documentation sites publish.
Nice to Have
You have open source experience and are comfortable engaging with contributors on GitHub issues and pull requests.
You understand how LLMs consume and interact with documentation.
You understand multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub
As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set.
CAN Pay Range
$218,420
—
$273,360 CAD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Global / Ukraine
We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.
The future of Web3 starts with you: join us as a Talent Sourcer!
Requirements
Proven experience in sourcing or lead generation (1.5+ years minimum).
Strong command of outreach strategies across multiple platforms (LinkedIn, GitHub, Telegram, email, Discord, etc.).
Familiarity with technical profiles and/or experience sourcing in IT or Web3 is a strong plus.
Hands-on experience working with ATS, CRM and AI tools.
Ability to manage talent pipelines and segment candidate pools effectively.
Strong communication skills and proactive mindset.
Responsibilities
Build and maintain active pipelines for high-priority roles and complex specializations (Web3, blockchain, crypto focus).
Develop tailored outreach strategies per role and audience.
Partner closely with recruiters to ensure seamless candidate handover.
Expand sourcing channels beyond LinkedIn: direct search via platforms like GitHub, Twitter, niche communities.
Track and report on sourcing funnel metrics.
Continuously research and map niche talent markets.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
24 calendar days of paid leave.
Health Insurance.
Additional days off for national holidays.
With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!
WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role:
Vercel Connect helps developers give agents and AI-built apps secure access to the data, tools, and events they need—without wrestling with OAuth, credentials, and integration complexity. We’re currently building two things: 1) a platform for managing agent identity, access and permissions and 2) a set of rich connectors for the 1000s of systems (like Linear, Slack, GitHub, Google, etc.) that agents will need to talk to.
We’re solving core problems like agent identity and delegated access, tool approval and standards around making agents aware of changes on 3rd party platforms.
As a senior engineer on this team you'll not only own our APIs, token infrastructure, authorization, SDKs, and more, but work with external companies to make it easier for developers to build agents that integrate with their products. You’ll need to balance both high uptime and fast performance with flexibility to allow for seamless connection to many systems that weren’t designed with agents in mind. If you’re looking for a role that will put you at the center of how agent identity and credentials work, this is it! This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday.
What You Will Do:
Ship provider integrations end to end — auth flows, token exchange, app registration, and the configuration UI — from generic API-key and OAuth presets through bespoke cases like Snowflake Partner Connect, Slack manager apps, and Microsoft Entra.
Own and improve our infrastructure (uptime, performance, secure storage of credentials and keys) and developer experience for Connect
Work with industry leaders within and outside of Vercel to propose and implement new authentication and authorization protocols for AI era
Build and harden event forwarding — signature verification inbound, project-scoped identity outbound, delivered to the right deployment and environment.
Make Connect the obvious way to give an agent a credential, extending the SDKs , consent-redirect flow, and framework adapters.
Reduce the cost of the next hundred integrations, so most new providers become configuration rather than code.
About You:
6+ years building and operating production backend or full-stack systems, with a track record of owning a service or platform surface rather than a feature.
You deeply understand your users problems and work in a focused manner to address them, leveling up the product you’re working on over time.
Deep, practical understanding of OAuth 2.0/2.1, OIDC, and JWTs — not just wiring up a client library, but reasoning about authorization codes, PKCE, refresh semantics, audience and scope restriction, token exchange, and what each of those actually protects against.
A security instinct for integration code specifically — SSRF and DNS rebinding, confused-deputy and mix-up attacks, redirect-URI validation, webhook signature verification, tenant isolation. You've either found these bugs or fixed them.
Strong TypeScript, and comfort developing backend and frontend components.
Experience integrating with many third-party APIs, an appetite for the reality of it — undocumented behavior, non-compliant OAuth, inconsistent errors — and the judgment to absorb that mess behind a clean abstractions
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $196,000-$294,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
ROLE OVERVIEW
As a Junior Application Security Analyst in the Information Security team, you will help secure Checkout.com http://Checkout.com’s software applications throughout the Secure Software Development Lifecycle (SSDLC). You will work closely with developers and product teams to integrate security early in the development process, identify and oversee the remediation of vulnerabilities, and ensure adherence to secure coding practices and application security standards. This role focuses on practical, hands-on security support while also growing your expertise in application security.
KEY RESPONSIBILITIES
SSDLC & Secure Coding
- Assist in integrating security controls into the SSDLC.
- Support the creation and maintenance of secure coding guidelines (e.g., OWASP Top 10, CERT Secure Coding Standards).
Application Security Testing
- Run a Static Application Security Testing (SAST) and Software Composition Analysis (SCA) scans.
- Conduct API security testing.
- Support CI/CD pipelines to keep secure and effective integration.
THREAT MODELING & APPLICATION SECURITY ANALYSIS
- Participate in threat modeling sessions.
- Document identified threats, assess risks and provide mitigation recommendations.
- Assist in code and system reviews to analyse security in company’s products.
VULNERABILITY MANAGEMENT
- Triage and prioritise vulnerabilities from automated scans.
- Track, verify and ensure security flaws remediation.
- Assist to automate an AppSec pipelines
COLLABORATION & AWARENESS
- Collaborate with engineering teams to integrate security into product design and improve existing systems.
- Help deliver training and awareness on SSDLC best practices and secure coding.
- Contribute to security documentations.
REQUIRED SKILLS & EXPERIENCE
- 1–3 years in application security, secure software development, or related IT/security role.
- Understand basic network technologies and protocols (HTTP, TCP/IP, DNS and the OSI model).
- Understanding of common software vulnerabilities and their mitigations.
- Basic programming experience in a popular language (e.g., Python, JavaScript, Golang).
- Understanding of CI/CD pipelines and DevSecOps principles.
- Basic understanding of cloud technologies (AWS, GCP or Azure) and GitHub security features.
- Strong attention to detail in documentation and assessments.
PREFERRED
- Familiarity with SAST/DAST/SCA tools and API security testing platforms.
- Exposure to cloud-native application security (AWS, Azure, GCP).
- Understanding of container security (Docker, Kubernetes).
- Experience of participating in Capture The Flag (CTF) competitions.
KEY COMPETENCIES
- Eager to learn and expand technical skills in application security.
- Effective communicator with both technical and non-technical audiences.
- Collaborative and proactive problem solver.
- Ability to prioritise work.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Middle Full-Stack разработчик IT Вакансии Мы ищем Middle Full-Stack разработчика, который будет проектировать, разрабатывать и поддерживать современные облачные веб-приложения. Вы будете работать по всему стеку - от backend-сервисов на .NET и облачной инфраструктуры до отзывчивых frontend-интерфейсов.
Location: New York; Florida; Massachusetts; Virginia; Georgia; Pennsylvania
Workplace: Remote
About Chainalysis
Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
About the team
Product Security at Chainalysis keeps our SaaS platform — used by governments, banks, and crypto exchanges to investigate financial crime — secure by design. We partner directly with product and platform engineering on threat modeling, design reviews, penetration testing, and remediation of findings across our AWS and Kubernetes estate.
As a Senior Security Engineer, Infrastructure, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP). You’ll combine production operations with practical security engineering: responding to platform alerts, troubleshooting infrastructure, and shipping guardrails and improvements through Terraform and Kubernetes. You’ll work closely with Infrastructure Security, Platform Engineering, AI Core, and other engineering partners to address risks at their source and make secure, reliable infrastructure easier to operate.
This is a hands-on engineering role for someone who is comfortable in a terminal, has supported production systems, and can take an infrastructure issue from investigation through resolution.
In this role, you’ll:
- Troubleshoot Kubernetes workloads and cloud services, investigating pod health, logs, errors, latency, and upstream provider issues to find root causes.
- Ship reviewed Terraform and Kubernetes changes that strengthen HAIP and broader cloud infrastructure security and reliability.
- Improve AWS and edge/network controls—including IAM, networking, secrets, encryption, logging, and Cloudflare—and reduce recurring misconfigurations through reusable patterns and runbooks.
- Use Python or similar scripting, monitoring improvements, and cross-team partnership to automate operational work and drive fixes through to completion.
- Participate in the AI Product on-call rotation, triage production alerts, communicate clearly, and escalate when needed.
We’re looking for candidates who have:
- Production cloud infrastructure experience, preferably in AWS, plus working knowledge of security controls such as IAM, networking, secrets, encryption, or logging.
- Hands-on production Kubernetes experience: inspect workloads, read logs, and troubleshoot failures using command-line tools.
- Experience authoring Terraform changes that have been reviewed and deployed to production; comfort shipping changes through Git and pull requests.
- Production on-call or incident-response experience, including alert investigation, clear communication, and sound escalation judgment.
- Python or similar scripting ability, familiarity with monitoring/logging tools
- Experience working with stakeholders across the R&D organization to collaborate and resolve security issues with urgency and a team-first approach.
NICE TO HAVE:
- Experience operating AI/ML infrastructure, LLM platforms, or services integrating with model providers; familiarity with AI gateway concepts such as model routing or quotas.
- Experience with Cloudflare or other edge/network security controls.
- Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca.
- Experience with GitOps tools such as Argo CD or Flux.
- Familiarity with blockchain, crypto, fintech, or regtech infrastructure.
TECHNOLOGIES WE USE:
- Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE)
- Infrastructure-as-Code: Terraform
- Security tooling: Wiz, SonarCloud, Burp, Cloudflare
- CI/CD and source control: GitHub, GitHub Actions, Artifactory and related build/deploy tooling
- Languages and scripting: Java, JavaScript, Python, Go
- AI Coding Agents, Tooling, Systems
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
— находить проекты AI-агентов (Cursor, Cline, CrewAI и похожие) и договариваться с их командами об интеграции AIMLAPI. — писать мейнтейнерам в GitHub, Discord, Twitter, LinkedIn и на почту и доводить переписку до ответа.
Location: Canada, Waterloo, ON
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real.
Sr Software Development Engineer in Test
, ML
Locations: Madison, WI and Waterloo, Ontario Canada
P
layStation is seeking a
Sr Software Development Engineer in Test, ML
to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.
Responsibilities:
Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas.
Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
Debug and analyze test failures, model anomalies and report defects
Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
Develop and implement best practices for test automation that is highly scalable and maintainable
Monitor test execution and optimize performance in test environments
Come up with innovative solutions to organizational problems
Required Qualifications:
A Bachelor's degree in Computer Science or related field
Minimum 5 years of experience as an SDET, with strong experience testing backend systems.
Proficiency in Python/Java/Scala/go for test automation.
Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases for backend validation.
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
Strong understanding of software development lifecycle (SDLC) and agile methodologies.
Excellent problem-solving skills and excellent communication skills.
Preferred Qualifications:
Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
Experience with performance and load testing tools
Experience with Databricks or similar ML platform tooling
Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
The estimated Ontario base pay range for this role is listed below.
$114,000
—
$143,000 CAD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: United States, Madison, WI
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real.
Sr Software Development Engineer in Test
, ML
Locations: Madison, WI and Waterloo, Ontario Canada
P
layStation is seeking a
Sr Software Development Engineer in Test, ML
to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions.
Responsibilities:
Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas.
Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java
Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios
Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release
Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions
Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment
Debug and analyze test failures, model anomalies and report defects
Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy
Develop and implement best practices for test automation that is highly scalable and maintainable
Monitor test execution and optimize performance in test environments
Come up with innovative solutions to organizational problems
Required Qualifications:
A Bachelor's degree in Computer Science or related field
Minimum 5 years of experience as an SDET, with strong experience testing backend systems.
Proficiency in Python/Java/Scala/go for test automation.
Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems
Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc
Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases for backend validation.
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.)
Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health
Strong understanding of software development lifecycle (SDLC) and agile methodologies.
Excellent problem-solving skills and excellent communication skills.
Preferred Qualifications:
Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems.
Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors.
Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions.
Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus.
Experience with performance and load testing tools
Experience with Databricks or similar ML platform tooling
Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$152,000
—
$190,000 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Ищут руководителя DevOps-команды, который будет отвечать за инфраструктуру, CI/CD и работу команды. Задачи: поддерживать и развивать CI/CD, сопровождать облачные и аппаратные окружения, настраивать мониторинг и реагировать на инциденты, координировать DevOps-команду.
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