Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Developer Experience team builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout, Docker Hardened Images and the workflows that turn supply-chain data into useful developer experiences.
Our systems are deliberately polyglot. Today that includes Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. We will keep evolving the stack as the product and business change. We are looking for an adaptable backend engineer who can become effective in an unfamiliar codebase, choose technology pragmatically and help other engineers do the same. Clojure experience is useful, but it is not a requirement and this is not a Clojure-specialist role.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality, security and operability of what ships. At Staff level, you will also help the team turn good individual practice into repeatable workflows, controls and shared standards.
As a Staff Software Engineer, you will lead ambiguous, cross-team work from problem definition through measurable outcomes. You will remain hands-on in code while shaping architecture, raising operational standards and creating enough clarity for several engineers and partner teams to move quickly. Work may span developer-facing features, build and artefact workflows, data and event pipelines, platform evolution and integrations with Docker's build and security systems.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by finding the highest-leverage problem, creating momentum before every detail is known and bringing people with you. Within your first year, teams should be delivering more confidently because you have made system boundaries clearer, reduced operational risk, connected technical choices to customer outcomes and helped senior engineers take on larger work.
_______________________________________________________________________
RESPONSIBILITIES
- Set technical direction for major backend and developer-experience initiatives across Clojure, Go and adjacent systems.
- Turn ambiguous product or platform problems into clear plans, staged decisions and measurable outcomes.
- Design, build and operate distributed services, event pipelines, databases and APIs with strong security and reliability characteristics.
- Lead cross-team delivery, surface risks early and remove technical or organisational blockers without waiting for formal authority.
- Make pragmatic recommendations about when to retain, evolve or replace existing components, including the continued reduction of legacy Datomic dependencies.
- Partner with Product, Design, Security and other engineering teams to connect technical investment to developer and business outcomes.
- Improve observability, incident readiness, performance and service ownership across the Developer Experience estate.
- Improve engineering leverage through appropriate automation, AI-assisted workflows and controls that preserve human accountability.
- Mentor senior engineers, raise the quality of design and code reviews and create reusable patterns that multiply the team.
- Stay hands-on through implementation, debugging and the team's paid on-call rotation.
- Communicate decisions and trade-offs clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Deep experience designing, building and operating production backend or platform systems.
- Strong programming ability in at least one production language, with evidence of becoming effective in unfamiliar languages and codebases.
- Experience with distributed systems, event-driven architectures, APIs, relational or distributed databases and cloud-native infrastructure.
- A track record of leading complex initiatives that crossed team or organisational boundaries.
- Strong technical and product judgement, including the ability to explain constraints, alternatives, customer outcomes and business trade-offs.
- Evidence of influencing without authority and improving the effectiveness of other experienced engineers.
- An operational mindset that treats observability, resilience, incident response and on-call ownership as part of engineering.
- Comfort using AI-assisted engineering tools critically while retaining ownership of the result.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Production experience with Go, Clojure or both.
- Experience with Spanner, Datomic, Kafka or other distributed data and streaming platforms.
- Experience with build systems, containers, artefact workflows or developer tooling.
- Experience evolving a platform, database or language strategy without disrupting product delivery.
- Experience building security or software supply-chain products.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Developer Experience products, customers, architecture and current priorities.
- Pair across Clojure, Go, Datomic and Spanner-backed systems and ship a useful production change.
- Understand the operational profile of the team's services, including on-call and recurring failure modes.
- Build working relationships with Product, Design, Security and adjacent engineering teams.
- Learn the team's AI-assisted engineering practices and identify where shared controls or workflows would improve them.
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant team or cross-team problem.
- Contribute production code in the parts of the stack needed to move that work forward.
- Identify and begin addressing a material reliability, observability, data or architectural weakness.
- Establish a mentoring and design-review cadence that helps other engineers own larger decisions.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted technical leader for Developer Experience and a sought-after partner across Docker.
- Deliver at least one material product or platform outcome spanning multiple teams or systems.
- Improve the reliability, clarity and delivery speed of the backend and data estate.
- Shape pragmatic evolution across Clojure, Go, Datomic, Spanner and future technologies without turning technology choice into the goal.
- Grow other senior engineers into broader ownership and reduce the number of decisions that depend on a small set of people.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €110,500 – €181,500 base
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Задачи:
- Разрабатывать и развивать высоконагруженные сервисы Feature Store.
- Проектировать и внедрять надежные и масштабируемые решения для хранения и обработки данных.
- Интегрировать сервисы с ML-пайплайнами и инфраструктурой данных.
- Оптимизировать производительность, устойчивость и отказоустойчивость системы.
- Принимать участие в архитектурных решениях и техническом развитии платформы.
Требования:
- Уверенное знание Java.
- Опыт разработки под Linux.
- Понимание принципов работы распределённых систем.
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Auto Builds while developing the next generation of trusted build and CI capabilities.
Software is being changed faster than ever, but CI remains a bottleneck and a major trust boundary. Developers and software agents need to run build and test work quickly without exposing secrets, losing local-to-cloud parity or accepting an unverifiable result. Our direction is to make Docker the trusted place CI runs and turn that constraint into an accelerator.
The technical work spans Go services, container and build technology, cloud infrastructure, isolated execution and software supply-chain security. It also requires disciplined operation of the production systems customers rely on today. Docker Build Cloud and Auto Builds will need targeted reliability and operational improvements while useful capabilities evolve towards a coherent Secure Build platform.
As a Senior Software Engineer, you will turn these problems into practical product and technical outcomes. You will own substantial work from discovery and design through production, make sound security and reliability trade-offs, and stay close to the experience of developers and the agents they delegate work to.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality and security of what ships.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by becoming an end-to-end owner for secure, reliable build infrastructure. Within your first year, you should have delivered a material secure-build or CI capability, reduced operational risk in Docker Build Cloud or Auto Builds, and become a trusted partner to the teams and customers that consume the platform.
_______________________________________________________________________
RESPONSIBILITIES
- Turn developer, agent and security problems into clear requirements, staged technical decisions and measurable outcomes.
- Design, build and operate Go services and APIs that power Docker's build and secure-CI infrastructure.
- Develop isolation, identity, policy, provenance, attestation and signing capabilities for trusted build and test jobs.
- Work with container, OCI, BuildKit, cloud and isolated-execution technologies to deliver secure and reproducible workflows.
- Own features from technical design through rollout, observability, incident response and ongoing maintenance.
- Keep Docker Build Cloud and Auto Builds reliable, make targeted improvements that reduce operational load, and help their capabilities evolve towards the wider Secure Build direction.
- Make practical security trade-offs and use threat modelling to guide designs without blocking delivery.
- Design for a clear developer experience, including workflows initiated or consumed by software agents.
- Partner with Product, Security, Developer Experience, Registry and other platform teams on end-to-end customer workflows.
- Participate in the team's paid on-call rotation and drive improvements from incidents and recurring operational work.
- Communicate decisions, risks and progress clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong backend engineering experience building and operating distributed systems in production.
- Production experience with Go and the ability to write, test, review and debug maintainable Go services.
- Experience with containers and build or CI systems, such as OCI, BuildKit, Buildx, GitHub Actions or comparable platforms.
- Experience with cloud-native infrastructure and a major cloud platform.
- A strong operational mindset covering observability, reliability, incident response and on-call ownership.
- Evidence of taking a feature or service from an ambiguous problem through production operation and measurable results.
- Working knowledge of security boundaries, identity, secrets and common software supply-chain risks.
- A strong product mindset and care for developer workflows, including experiences used by software agents.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Experience with Kubernetes.
- Experience with SLSA, in-toto, SBOM, VEX, Sigstore, cosign, provenance or artefact signing.
- Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure.
- Experience building hosted CI runners, remote builders or developer-platform infrastructure.
- Experience with agentic development workflows or building systems used programmatically by software agents.
- Experience evolving a legacy production system while delivering new capabilities.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker Build Cloud, Auto Builds and the Secure Build product and technical direction.
- Pair with the Secure Build team on core services, deployments and operational practices.
- Ship a useful production change and take part in an operational review or incident-learning session.
- Understand the secure-CI threat model and build relationships with DHI, Registry and Developer Experience.
FIRST 90 DAYS
- Own a secure-build feature or reliability improvement from problem definition through production.
- Contribute materially to the secure-CI architecture, including isolation, identity, policy or signed evidence.
- Deliver an observable improvement to the reliability or operability of an existing build service.
- Demonstrate strong product judgement across developer and agent workflows.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted senior technical owner on the Secure Build team.
- Deliver a material secure-CI or trusted-build capability used by customers or internal product teams.
- Improve the reliability and maintainability of Docker Build Cloud and Auto Builds while helping their useful capabilities converge with the wider platform.
- Contribute to the team's architecture for isolated execution, brokered access and verifiable build outcomes.
- Help establish strong product, design, review and operational practices as the team grows.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €94,040 – €155,650 base
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: London
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: Tripledot Games
About Tripledot Games
Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw, and Barcelona. The studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development.
We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.
Role Overview
As a Data Scientist in our Experimentation team, you will help deliver and improve Tripledot’s company-wide experimentation analysis platform. Working closely with Data Engineering, you will define the statistical logic and methodologies behind platform features, build prototypes in Python, and ensure the platform produces accurate, reliable results for product teams across our games portfolio.
Your initial focus will include hands-on quality assurance: running independent analyses, comparing results with platform outputs, investigating discrepancies, and validating features and metrics. This offers the opportunity to develop deep expertise in experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business.
Key Responsibilities
Define statistical logic, calculation methods, and detailed requirements for experimentation platform features.
Prototype statistical methodologies and analyses in Python before implementation.
Partner closely with Data Engineers as they develop and improve the experimentation platform.
Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs.
Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable.
Explore opportunities to automate QA processes and improve the efficiency and quality of validation.
Build a deep understanding of experimentation methodologies, including A/B testing, monitoring, segmentation, and analysis.
Collaborate with BI, Machine Learning, product teams, and other stakeholders to understand requests and shape effective solutions.
Contribute to future statistical, algorithmic, and machine learning initiatives as the team’s priorities evolve.
Skills, Knowledge and Expertise
3-5 years of professional experience as a Data Scientist or in a closely related role
Strong Python skills, including the ability to prototype analyses and write clear, reliable scripts.
Solid knowledge of statistics and standard statistical methodologies.
Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated.
Familiarity with machine learning methods and the ability to apply relevant approaches when needed.
Excellent attention to detail and a disciplined approach to repetitive or methodical QA work.
Strong problem-solving skills, with the initiative to propose creative solutions and process improvements.
Clear communication skills and the ability to explain analytical methods, results, and rationale.
Experience with experimentation platforms or high-volume digital products, such as gaming, e-commerce, or ride-hailing, would be valuable.
Ability to critically evaluate and validate AI-generated code, analyses, or modelling suggestions to ensure correctness and reproducibility.
Experience using AI-assisted tools (e.g. code assistants or analytical copilots) to accelerate data exploration, research prototyping, and development workflows while maintaining scientific and statistical rigor.
Interest in exploring AI-driven approaches that improve experimentation platforms, developer productivity, or data science research workflows.
Working at Tripledot
25 days paid holiday
in addition to bank holidays to relax and refresh throughout the year
Hybrid Working
20 days remote working:
Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
Daily Free Lunch:
when in the office you get £12 every day to order from JustEat.
Regular company events and rewards:
quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit.
Employee Assistance Program:
Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Family Forming Support:
Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
Life Assurance & Group Income Cover:
Financial protection for you and your loved ones.
Continuous Professional Development:
Propel your career with continuous opportunities for professional development.
Private Medical Cover
& Health Cash Plan:
Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash.
Dental Cover:
Opt-in (P11d benefit).
Cycle to Work Scheme:
Salary sacrifice bike purchase scheme.
Pension Plan:
Qualifying earnings or opt-in 4% contributory match schemes offered.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
This role will be based in Dublin. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption.
- Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale.
- Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation.
- Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value.
- Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback.
- Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path.
- Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements.
- Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
NICE TO HAVES:
- Experience designing or deploying Agents, automations or AI-powered workflows with Customers.
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up.
- Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements.
- Previous experience in a fast-paced, high-growth technology environment.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €115,000-€128,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Tokyo, Japan
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
We’re looking for an experienced Localization Project Manager — Japan Training Quality to support localization for Customer Education, helping ensure Notion training content feels accurate, clear, culturally relevant, and ready to use for learners across the globe.
You’ll work at the intersection of localization quality, training implementation, and program management, collaborating with Localization, Partner Enablement, Customer Education, vendors, and language specialists. You’ll help turn translation feedback, learner experience issues, and regional quality needs into practical improvements across training content, quizzes, LMS setup, and repeatable localization workflows.
The ideal candidate combines native-level Japanese language expertise with a deep understanding of what effective education looks like in the Japanese market.
WHAT YOU'LL ACHIEVE
- Own and apply Japanese localization QA standards across training content, including checking for accuracy, clarity, tone, terminology, and cultural nuance
- Support development of glossaries, style guides, QA checklists, review processes, and localization assets
- Become a go-to partner for translation questions related to Notion-specific concepts, product terminology, and training context
- Support QA of technical implementation in eLearning authoring tools and LMS environments (course files, quizzes, answer selections)
- Coordinate across Customer Education, Partner Enablement, Localization, and vendors to align on priorities, timelines, translation progress, and quality expectations
- Identify workflow risks and recommend improvements that improve translation quality and reduce time-to-launch
- Document repeatable processes that make training and help center localization easier to manage over time
SKILLS YOU'LL NEED TO BRING
- Strong understanding of localization workflows, including vendor collaboration, review cycles, glossaries, style guides, QA rubrics, and linguistic QA
- Experience with Japanese localization QA, ideally for SaaS, technical training, customer education, or partner enablement content
- Ability to review translated content for quality, clarity, terminology accuracy, cultural nuance, and learner comprehension
- Familiarity with eLearning or LMS tools; experience with platforms like Skilljar or Parta authoring tools is a plus
- Comfort working with technical or product-specific terminology that may not translate directly
- Strong attention to detail, especially in learner-facing content, quizzes, course setup, formatting, and implementation QA
- Strong project management skills and ability to bring structure into ambiguous areas
WHY THIS ROLE MATTERS
We want all of our learners should feel like Notion training content was made for them — not simply translated for them. High-quality localization has a direct impact on learner trust, comprehension, launch readiness, and regional enablement outcomes.
This role will help Customer Education and Partner Enablement move faster while raising the quality bar: reducing rework, catching issues before launch, improving vendor feedback loops, and creating a clearer, more repeatable operating model for training localization
This is a 6-month, part-time role with option to extend. Preferred location is Tokyo, but we're open to remote applicants with strong Japanese market expertise and timezone overlap with Japan and Notion's International Experience team.
Availability: 20 hours/week
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks.
What You’ll Do:
Shape the future of Reddit by adapting our platforms to an evolving privacy, security, and regulatory landscape
Partner with product, design, and engineering teams across the company to build trusted, compliant experiences for millions of users
Join a highly visible team where you’ll influence both technical and product strategy, and help define an entirely new product space
Own product areas and shape strategy end-to-end: from technical design and coding to testing, experimentation, analysis, and launch
Lead high-impact, cross-functional initiatives that are critical to Reddit’s business and platform integrity
Raise the bar for engineering by improving workflows, setting standards, and mentoring the next generation of engineers
Qualifications for this role:
5+ years backend development experience with multiple parts of the backend stack, from databases to networking to efficient computing. We develop with Go, Python, Postgres, Redis, Thrift, GraphQL and deploy to Docker/k8s on AWS.
Experience as a tech lead on projects and teams with 3+ backend engineers
Ability to design and implement complex distributed systems operating under high load.
You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure.
Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences.
Experience mentoring engineers, owning team processes, and leading cross-functional projects is preferred.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia
We are looking for a Senior Business Analyst with experience in tax-related processes and e-invoicing to support solutions involving VAT electronic handling and invoice compliance. In this role, you will work closely with business and technical teams to analyze requirements, define processes, and ensure the solution aligns with regulatory and operational needs.
Now the team is working on the development of a modern toolbox that provides companies with a digital personal travel agent to quickly and inexpensively book all of their employees' travel.
Gather, analyze, and document business requirements related to tax and e-invoicing processes
Work with stakeholders to understand VAT electronic handling requirements
Analyze and support invoice-related workflows and compliance needs
Translate business needs into clear functional specifications for technical teams
Collaborate with cross-functional teams to support solution design and delivery
Ensure alignment of business processes with regulatory and invoicing standards
Support testing, validation, and implementation of e-invoicing features
Proven experience as a Business Analyst in enterprise or finance-related projects
Strong understanding of tax processes
Experience with e-invoicing solutions
Knowledge of VAT electronic handling
Familiarity with UBL (Universal Business Language)
Strong analytical and communication skills
Strong accounting/audit background and VAT treatment understanding
Ability to work effectively with both business and technical stakeholders
Knowledge of laws and requirements for e-invoicing in France, Spain, Filipines
Experience with compliance or regulatory-driven projects
Background in finance, accounting, or tax systems
Knowledge of invoice exchange standards or document workflows
Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
The Role:
We are hiring a Staff Security Engineer to act as the primary security partner for the Walrus team, providing deep architectural guidance and embedding security practices throughout the development lifecycle, starting from the design phase.
What You'll Do:
- Lead security assessments for new Walrus features while also contributing to security initiatives across the broader Mysten ecosystem, identifying systemic risks and providing actionable remediation plans for complex architectural challenges.
- Drive a "security-by-design" culture, ensuring that security considerations are front-and-center before code is written, within Walrus and the wider Mysten organization.
- Leverage AI-driven tools and advanced automation to identify and remediate low-hanging fruit, allowing the team to focus on high-impact, complex security research.
- Maintain a generalist security perspective, providing strategic oversight on broader infrastructure and product security issues as they impact Walrus and beyond.
- Collaborate with engineering leadership to prioritize security roadmap items, balancing feature velocity with the security posture of the platform.
- Mentor senior and junior engineers, setting technical direction for security standards and establishing best practices across the engineering organization.
What You'll Have:
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
- 8+ years of industry experience in security engineering, with a proven track record of operating at a Staff (E6) level or equivalent.
- Extensive experience as a security generalist, capable of navigating infrastructure, application, and cryptographic security domains.
- Strong proficiency in building, deploying, and managing automated security tooling; demonstrated history of using AI/ML or advanced static/dynamic analysis to improve security outcomes at scale.
- Deep expertise in collaborating with engineering teams during the design phase to proactively identify and mitigate high-risk design flaws.
- Excellent communication skills, with the ability to influence technical direction and lead cross-functional security initiatives.
What You'll Have
Preferred Qualifications
- Technical understanding of decentralized storage, distributed systems, or the Web3 stack (prior experience is a plus, not a requirement).
- Experience leading security-focused transformations or implementing security-by-design frameworks in high-growth engineering environments.
- Ability to balance tactical, hands-on security work with strategic long-term planning and leadership.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
We’re looking for a Design Engineer who lives at the intersection of design and code. You’ll sit directly with the Product Design team, alongside a group of designers who are AI-first builders, that work across a range of tools and constantly explore new workflows.
You’ll help prototype, build, and polish the experiences across the Dashboard, Admin Portal, AuthKit, Atlas, and more. You’ll help bring ambitious ideas to life by prototyping directly in code, validating with customers, and shipping production experiences with a high bar for craft. Your work reaches past the product itself: you’ll contribute to our design system and help improve how everyone at the company builds.
Responsibilities ✔️
- Build production-quality components and interactions across WorkOS products
- Prototype concepts, build new products, and experiment with new interaction patterns
- Raise the quality of WorkDS, our design system, by improving performance, state, accessibility, and interaction behaviour
- Work alongside product teams to test your ideas with customers directly and make sure what ships is right
- Work in the open, sharing work in progress early, pulling others in to get to the right answer faster
- Improve how the company builds, through design system contributions and agent instructions
Qualifications 🌟
- You have an eye for design details, care deeply about craft, and have a history of shipping polished products
- You can articulate why you made a design decision, not just what you made. You think through alternatives, weigh tradeoffs, and consider how your choices affect the entire product.
- You account for real-world complexity — edge cases, error and empty states, accessibility, and technical constraints — without letting process slow you down. You ship, learn, and iterate.
- You’re equally comfortable in code as you are in Figma/Paper and work across tools to refine your explorations, while also being excited to explore new tools and workflows and share what you learn with the team.
- You work AI-first and have refined how you do it, are able to achieve high-quality output, and share your workflows with others
- You spot design gaps across the product and fix them without waiting to be asked. You default to showing work early, sharing prototypes in the open, and pulling in others to get to the right solution faster.
- Experience working on small teams in high-agency, fast-paced environments
- Bonus: Experience with our stack of TypeScript, React, and Radix
- Bonus: Experience with developer tools, enterprise software, or other technical products
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: United States, San Diego, CA
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.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
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.
$198,200
—
$297,400 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.
Location: Remote - US
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE:
This position can be based remotely in
We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.
WHAT YOU WILL DO
- Develop new user-facing features using React & Typescript
- Build reusable components and front-end libraries for future use
- Translate designs and wireframes into high-quality code
- Optimize components for maximum performance across a vast array of web-capable devices and browsers
- Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
WHAT YOU WILL BRING
- Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
- Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
- Familiarity with REST APIs and experience working closely with fullstack and backend engineers
- Knowledge of modern authorization mechanisms, such as JWTs
- A passion for user experience, design and building clean, engaging, and intuitive interfaces
- Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
- The DNA to thrive in a start-up, fast-paced environment. You view unstructured environments as an opportunity to make the most impactful work and to help define what's next.
- An ownership mind-set. You are self-driven and look for opportunities to make an impact.
- Strong computer science fundamentals, ideally with a degree in computer science or related field.
Compensation
Annual salary range: $180,000-$240,000 USD
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Software Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught.
Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day.
You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger.
This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.
Responsibilities
Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one
Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve
Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically
Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses
Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture
Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks
Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it
You may be a good fit if you have
7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale
Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it
A strong eye for quality educational content, with a sense of the complex systems that produce it
Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure
Experience building and operating platforms that serve many concurrent users reliably
Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification
Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity
A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be
Strong candidates may also have
Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products
Background in or exposure to learning science, instructional design, or educational research
Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations
Familiarity with building systems that incorporate LLM capabilities as core infrastructure
Prior work at a high-growth company where you built platform infrastructure that other teams depended on
Experience designing systems that non-technical users configure and operate
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$163,920
—
$196,712 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales.
Technologies You’ll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You’ll Do
Design and implement features and performance improvements across the Metadata team's services — discovery API, catalog, lineage, and run history
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$139,869
—
$167,849.50 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Toronto, Ontario, Canada
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
T
ogether, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for an engineering manager to lead our Metadata team, which owns the metadata layer of the dbt platform: the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.
You'll own technical excellence and delivery of a single team, from evolving high-throughput APIs and data models, to hardening reliability and latency for enterprise and single-tenant customers, to shipping new discovery and catalog capabilities in close partnership with product. You'll set direction, review designs and code, remove roadblocks, and grow the engineers on your team through coaching, feedback, and clear career development.
What You'll Do
Lead and grow a team of software engineers, owning hiring, onboarding, coaching, career development plans, and regular 1:1s and check-ins
Own project delivery for your team against the quarterly plan, and be accountable for the reliability and performance of the services you own (e.g. uptime and latency targets)
Review technical designs and code, and provide feedback grounded in a deep understanding of the Metadata product area and architecture
Drive the team to address technical quality — incidents, bugs, tech debt, and post-mortems — within SLA and metric targets
Partner with product and business stakeholders on planning, and maintain a realistic, prioritized feature and project backlog with a high completion rate
Contextualize and communicate the engineering vision and strategy to your team, and share the team's work and business impact with adjacent teams
Ensure engineering processes (e.g. FDLC) are implemented and consistently followed
Delegate effectively and build autonomy and a positive, high-trust culture within the team
Address performance issues and conflict promptly and fairly
Ensure your team uses AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking For
Experience managing and growing a software engineering team(ideally a customer-facing product development team); including hiring, coaching, and running a full performance and career-development cycle
Strong technical foundation with the ability to review designs and code and make sound architectural trade-offs in a distributed, cloud-based systems environment
Track record of delivering complex projects on schedule while holding the team to high standards of quality, reliability, and performance
Experience owning production services and driving operational health — incident response, on-call practices, tech-debt reduction, and meeting SLAs
Ability to plan and prioritize with product partners, maintain a realistic backlog, and drive high sprint and quarterly completion rates
Communicates clearly and effectively across the team and with adjacent teams and stakeholders; keeps people well informed
Fluent in using AI code assistants, coding agents, and conversational AI (e.g. Claude, ChatGPT) to support the software development lifecycle, and able to establish those practices across a team
Bonus Skills
Experience building or operating metadata, catalog, lineage, or discovery/search systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Ontario Pay Range
$186,701
—
$233,376 CAD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
УдалённоseniorEngland; United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридTokyo, Japan; Preferred location is Tokyo, but we're open to remote applicants with strong Japanese market expertise and timezone overlap with Japan and Notion's International Experience team
УдалённоseniorRemote - United States
УдалённоUSA (Remote); Canada (Remote)
УдалённоUnited States & Canada; Benefits and Perks (US Only) 💖
United States, San Diego, CA; Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment
Автоотклики