Задачи:
— Развивать AI Agents, MCP, RAG и Skills
— Работать с Agentic Workflows, где Frontend, Backend, QA, DevOps и аналитика выполняются параллельно несколькими AI-агентами
— Работать с локальными AI-моделями
— Развивать архитектуру, CI/CD и production-ready подходы
— Понимать SDLC: от требований и архитектуры до deployment и поддержки
— Работать с бэком на Java или Go
Цель:
— Сформировать Fullstack AI Loop Engineer, способного пройти полный цикл создания продукта и использовать AI как полноценную часть engineering workflow
Требования:
— Грейд не принципиален: Junior, Middle или Senior
— Опыт в финтехе или банках не обязателен
— Важнее инженерное мышление, интерес к AI и готовность постоянно учиться
Условия:
— Формат работы удалённый
Location: San Francisco; New York
Workplace: Hybrid
About Alchemy
Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences.
Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.
About the role
Self-serve is how Alchemy grows. The dashboard and the developer experience around it are the primary revenue engine for our flagship products: developers discover us, sign up, get to their first call, scale their usage, and upgrade largely without ever talking to a person. That funnel is one of the most direct levers on company-level revenue we have, and this role owns it.
It's also changing fast. A growing share of developers now reach Alchemy through an AI coding agent rather than a browser tab, and we expect agent-mediated usage to become the dominant way our platform is consumed. Building for that shift, our MCP server, agent skills, and AI-native onboarding, sits squarely in this role.
You'll run the dashboard as a product, own the self-serve growth engine, and set the experimentation and measurement standard for growth across the company, partnering with Node APIs, Data APIs, Wallets, Transaction Engine, Growth Marketing, and Billing, and spending meaningful time with customers.
What you'll own
- The dashboard. Own signup, app creation, first key, first call, usage and CU visibility, upgrade paths, team management, and the observability developers need to debug their own traffic.
- Developer experience end to end. Docs, SDKs, quickstarts, error messages, sandbox and testnet flows, and the first hour of every integration. Reduce time to first successful call, then time to first paid workload.
- Own product-led growth end to end. Design the developer journey from docs, to first API call, to first paid workload, to scaled production spend. Instrument it, find the drop-offs, fix them.
- Agent experience (AX). Make Alchemy the default infrastructure an AI coding agent reaches for. Own how our MCP server, agent skills, and machine readable docs perform inside Claude Code, Cursor, and whatever comes next.
- Experimentation. Building the A/B and holdout tooling, running pricing, packaging, and onboarding tests, and creating a habit of shipping and learning weekly rather than quarterly.
- The truth. Get into the warehouse yourself. Build the funnel, find the cohort that doesn't behave like the average, and bring back the answer nobody wanted to hear.
What we're looking for
- 10+ years in product, with deep time on developer platforms, APIs, or infrastructure, and direct ownership of a dashboard or console that developers use daily.
- Proven product-led growth leadership: you've owned a self-serve funnel at scale and can show what you moved, by how much, and how you know it was you.
- Rigorous experimentation practice. You know the difference between a lift and a fluke, you size tests before you run them, and you've built the culture as much as the tooling.
- Genuinely analytical. Data Analysis is a normal Tuesday. You can build the model, audit the instrumentation, catch the bad join, and defend the number in front of the exec team.
- Truth seeking. You'd rather be corrected in week one than right in a deck in week twelve. You go looking for the disconfirming data.
- Cross functional gravity. You've driven outcomes across engineering, design, docs, marketing, sales, and finance without owning any of them.
- Customer facing by instinct. You run your own discovery calls, sit in support channels, and can walk a CTO through an integration and a pricing model in the same meeting.
- Technical enough to build with our own APIs, prototype with AI agents, and read the code when the answer isn't in the dashboard.
- Crypto and web3 experience is a plus.
- Benefits and Perks
🏥 Medical, Dental, & Vision
💪 Gym Reimbursement
🖥️ Home Office Build-out Budget
🥙 In-Office Group Meals
🚅 Commuter Benefits
🌴 Flexible Time Off
🧘♂️ Wellbeing & Mental Health Perks
🧠 Learning & Development Stipend
🌎 Company Sponsored Conferences & Events
💸 HSA and FSA Plans
🧬 Fertility Benefits
Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.
Location: San Francisco
Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication.
About the role
Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address.
Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome.
This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering.
What you'll do
- Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers.
- Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow.
- Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping.
- Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion.
- Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling.
- Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage.
- Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure.
- Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria.
- Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback.
What we're looking for
The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome.
Must-haves
- 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership.
- Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan.
- Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting.
- Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure.
- Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path.
- Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential.
- Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers.
- High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly.
- AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably.
Nice-to-haves
- Experience deploying agents or multi-step LLM workflows in complex enterprise environments.
- Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration.
- Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology.
- Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company.
- A track record of turning customer implementations into reusable technical assets or product improvements.
Location: San Francisco
Perplexity is seeking an Applied AI Architect to help our customers turn Perplexity Computer into working solutions that drive measurable impact. This role is ideal for technical, consultative professionals who have led complex software implementations and can move comfortably between customer discovery, solution design, hands-on delivery, and executive communication.
About the role
Perplexity Computer is a new class of AI system that navigates tools, interacts with applications, and completes multi-step workflows end to end. Our customers are using Computer to transform work that traditional software has not been able to address.
Applied AI Architects work directly with customers across presales, onboarding, adoption, and strategic engagements. You will uncover the real business problem, determine what Computer can credibly support, design and configure the workflow, and lead the engagement to a clear outcome.
This is a hands-on, customer-facing role at the intersection of solutions architecture, technical consulting, and program delivery. You will work closely with Sales and Customer Success while serving as a quality filter for requests that require Product or Engineering.
What you'll do
- Lead technical discovery. Work with customer business leaders, technical teams, account executives, and customer success managers to understand the users, current workflow, desired outcome, constraints, and decision-makers.
- Design credible solutions. Map how people, data, tools, approvals, permissions, and decisions interact, then determine how Computer can support the workflow.
- Support complex opportunities. Partner with account executives on technical deal strategy, demos, proofs of value, architecture and security coordination, and engagement scoping.
- Drive value-backed consumption. Identify high-value, repeatable workflows; define the expected business outcomes and usage patterns; and partner with Sales and Customer Success to move customers from technical validation to sustained production use and expansion.
- Build hands-on. Configure, prototype, test, and iterate on Computer skills and workflows, including connectors, permissions, and adjacent tooling.
- Accelerate onboarding and adoption. Provide second-level technical consultation to customer success managers and deliver bounded technical work when customer needs exceed standard Customer Success coverage.
- Run strategic engagements. Establish scope, customer commitments, milestones, success criteria, working cadence, and exit criteria, then lead the work through closure.
- Improve technical escalation. Validate product and engineering needs and produce decision-ready requests with clear evidence, constraints, impact, and acceptance criteria.
- Turn every engagement into leverage. Convert repeated customer needs into reusable workflows, implementation patterns, demos, guidance, and product feedback.
What we're looking for
The strongest Applied AI Architects combine technical depth, consultative problem solving, and disciplined engagement delivery. You should be comfortable working hands-on with the product, advising customer executives, and managing the details required to deliver a successful outcome.
Must-haves
- 5+ years in a customer-facing technical role such as solutions architecture, senior sales engineering, AI implementation, forward deployed work, technical consulting, or technical program leadership.
- Proven consultative discovery skills. You can turn an ambiguous request into a clear business problem, technical approach, and delivery plan.
- Hands-on technical fluency. You are comfortable with APIs, integrations, authentication, identity, permissions, connectors, data flows, and technical troubleshooting.
- Experience delivering complex implementations. You have managed scope, stakeholders, milestones, risk, expectations, and closure.
- Strong solution judgment. You can distinguish education, configuration, implementation, support, product, and engineering problems and recommend the right path.
- Commercial and consumption awareness. You can connect solution design and technical decisions to time to value, usage, credit consumption, customer economics, and expansion potential.
- Executive-credible communication. You can explain technical trade-offs to senior decision-makers while working effectively with practitioners and engineers.
- High agency in ambiguity. You can establish direction without waiting for perfect requirements, challenge weak assumptions, and make thoughtful decisions quickly.
- AI-native working style. You use frontier models and AI tools regularly and have developed strong intuition for what current systems can and cannot do reliably.
Nice-to-haves
- Experience deploying agents or multi-step LLM workflows in complex enterprise environments.
- Experience with Computer, MCP, enterprise identity, security, permissions, or workflow orchestration.
- Experience in regulated or workflow-intensive industries such as legal, financial services, healthcare, or technology.
- Prior forward deployed engineering, Applied AI, deployment strategist, solutions architecture, or technical consulting experience at an AI or enterprise software company.
- A track record of turning customer implementations into reusable technical assets or product improvements.
Location: United Kingdom; Ireland; Poland
Workplace: Remote
As a Senior Software Engineer on Coder’s Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments.
You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.
What you’ll do here
- Design and build production systems in Go, with work across React and TypeScript where needed.
- Improve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Build reliable integrations between agents, workspaces, tools, and developer infrastructure.
- Own projects from implementation through rollout and iteration.
- Contribute to design reviews, code reviews, and technical discussions.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
- Improve the reliability, performance, and operability of agentic systems.
What we’re looking for
- Strong experience building and operating production software systems.
- Hands-on experience with Go.
- Experience with React and TypeScript.
- Experience building systems around LLMs or agentic workflows.
- Familiarity with model APIs, tool calling, context management, or agent loops.
- Good understanding of distributed systems and production reliability.
- Working knowledge of AWS.
- Strong problem-solving skills and comfort working through technical ambiguity.
- Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.
Bonus tacos if you have
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with MCP, agent tools, or multi-agent systems.
- Experience with remote execution, sandboxing, or isolated compute.
- Experience building integrations across multiple model providers.
- Experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
Our tech stack
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: United States
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Staff Full Stack Engineer
to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements
.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis
Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions
Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team
Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship
Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals
Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements
Mentor senior engineers and act as a technical multiplier across the org
Contribute to and help shape technical direction for Mattermost’s open-source codebase
What We Are Looking For
Required:
Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end
Proven experience designing and owning distributed systems or high-availability service architecture at scale
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Demonstrated ability to influence technical direction across multiple teams without relying on formal authority
Experience mentoring senior engineers and raising the technical bar for a broader team
Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements)
Nice to Have:
Prior experience operating as a staff, principal, or technical lead engineer at another company
Experience maintaining (not just contributing to) an open-source project
Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR)
Experience helping scale engineering practices or standards across a growing organization
Background in defense, intelligence, or critical infrastructure products
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: $172,724 – $227,135
U.S. Eligibility & Compliance
This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit
Security Clearances — United States Department of State
Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the
Bureau of Industry and Security
and the
Directorate of Defense Trade Controls
.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Toronto, Ontario, Canada
Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365.
To learn more, visit
www.mattermost.com
We are seeking a
Staff Full Stack Engineer
to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements
.
Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you.
What You Will Do
Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis
Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions
Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team
Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship
Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals
Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements
Mentor senior engineers and act as a technical multiplier across the org
Contribute to and help shape technical direction for Mattermost’s open-source codebase
What We Are Looking For
Required:
Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end
Proven experience designing and owning distributed systems or high-availability service architecture at scale
Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals
Relational database experience including PostgreSQL, schema design, and query optimization
Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself
Demonstrated ability to influence technical direction across multiple teams without relying on formal authority
Experience mentoring senior engineers and raising the technical bar for a broader team
Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements)
Nice to Have:
Prior experience operating as a staff, principal, or technical lead engineer at another company
Experience maintaining (not just contributing to) an open-source project
Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR)
Experience helping scale engineering practices or standards across a growing organization
Background in defense, intelligence, or critical infrastructure products
Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents
How Success Is Measured
First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue.
Why Mattermost
Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide
Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership
AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty
End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build
Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration
Compensation
Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions.
Target Salary Range: $195,001 – $238,965
Canada Eligibility & Compliance
Candidates must be legally authorized to work in Canada without current or future sponsorship.
This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered.
Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls.
Mattermost is an EEO Employer, we are a remote-first, open-source company.
We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time.
Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics.
If you require accommodations during the interview process, please let us know—we’re happy to assist.
Location: Ireland, Dublin
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.
Job Description
We are seeking an experienced Senior Integration Engineering Manager to lead and evolve PlayStation’s Enterprise Integration Engineering capability. We deliver reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise.
In this role, you will define the technical direction, engineering practices, and delivery strategy for our enterprise integration platforms (MuleSoft & SnapLogic), while leading and developing a high-performing team of integration engineers.
You will be accountable for engineering strategy, delivery outcomes, technical quality and operational excellence. Working collaboratively with global engineering teams, engineering leaders & managers, architecture, business stakeholders and PMO, to ensure integration solutions are delivered on time, to a high standard of quality, scalability, reliability, and security.
You will bring a strong technical foundation in integration design and delivery. Actively contribute to integration architecture and design discussions, provide technical leadership, and constructively challenge solutions where needed.
You will mentor and develop engineers, foster a strong engineering team culture, and lead the growth of the Enterprise Integration Engineering capability at PlayStation.
What you'll be doing:
Technical Leadership & Architecture
Define the technical roadmap for the enterprise integration platforms, ensuring they continue to meet current and future business needs.
Evaluate emerging integration technologies and industry trends, recommending strategic investments where appropriate.
Lead and guide the design of enterprise integration solutions across MuleSoft and SnapLogic, ensuring solutions are scalable, secure, reusable, and aligned to enterprise standards
Review and constructively challenge integration designs, patterns, and technical decisions, providing clear direction to improve quality, resilience, and maintainability
Drive adoption of modern integration approaches, including API-led, event-driven, pub-sub, asynchronous, and batch/data integration patterns
Define and promote integration standards, design principles, and reusable patterns across the team
Be the escalation point for operational and technical issues.
Delivery & Engineering Management
Own delivery across a portfolio of integration initiatives, ensuring commitments are met to agreed timelines, scope, quality, and business outcomes.
Determine resource allocation, platform investment, and delivery priorities across multiple concurrent initiatives, balancing technical debt and operational risk to achieve business objectives.
Define and continually improve the engineering operating model, delivery processes, and engineering metrics to increase delivery predictability, platform reliability, and operational excellence.
Lead the team to solve complex technical and delivery challenges, ensuring issues are identified early and resolved effectively
Ensure integrations are secure, scalable, resilient, and observable, with appropriate logging, monitoring, error handling, and operational support models.
People & Team Leadership
Line manage a team of integration engineers, including goal setting, performance management, coaching, and career development.
Develop senior engineers and future technical leaders through coaching, mentoring, and structured career development.
Drive an inclusive engineering culture focused on accountability, innovation, collaboration and continuous improvement.
Lead hiring, onboarding, and organisational planning to build a scalable, high-performing engineering organisation.
Build strong working relationships across global engineering teams and delivery partners.
What we are looking for:
10+ years of experience designing and delivering enterprise integrations across one or more integration platforms (e.g. Informatica, Dell Boomi, Oracle Service Bus, or similar)
5+ years of hands-on integration design and development experience on MuleSoft and/or SnapLogic
Strong technical understanding of enterprise integration architecture, patterns, and platform capabilities
Proven experience leading and developing high-performing engineering teams, including senior engineers and technical leads.
Proven experience reviewing technical design decisions, and providing constructive guidance to improve solution quality.
Experience working with AWS-hosted integration environments, including messaging services such as SQS and SNS
Experience with engineering delivery practices and tooling such as GitHub, Jenkins, Maven, and Terraform
Experience integrating enterprise SaaS (e.g. Salesforce, Workday), cloud-hosted COTS (e.g. SAP) and custom in-house developed and hosted applications.
Ability to balance technical leadership, delivery accountability, and people management responsibilities
Excellent written and verbal communication skills, with the ability to present complex technical information clearly and concisely to engineering teams, senior stakeholders, and non-technical audiences
Strong stakeholder management and collaboration skills
Exposure to emerging integration approaches such as MCP servers and agentic-based integrations is desirable
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 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.
€111.800
—
€167.600 EUR
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: JP - Tokyo, Japan
Scopely Explore is seeking a highly motivated
AI Data Specialist/ Engineer
to join our Tokyo Studio, supporting
Monster Hunter Now
and
Pikmin Bloom
. This role will sit at the intersection of data engineering, AI tooling, marketing, live game operations, and product strategy.
Scopely Explore’s Tokyo Studio builds games that inspire people to explore the real world together.
Monster Hunter Now
brings players outside to hunt, craft, and grow stronger together, while
Pikmin Bloom
helps people find joy in everyday walking and real-world memories. As an AI Data Engineer, you will build the trusted data pipelines, AI-native tools, and automation systems that help our teams operate these games with more speed, rigor, and creativity.
Responsibilities
Partner cross-functionally with stakeholders across Product, LiveOps, Marketing, User Acquisition (UA), CRM, and Game Operations (including product managers, marketers, analysts, data scientists, engineers, and studio leadership) to identify and prioritize high-impact data and automation opportunities and translate ambiguous business needs into reliable AI-native technical systems.
Build and operate scalable data models, pipelines, semantic layers, and self-service data products using BigQuery, dbt, Looker, Airflow, and related cloud technologies.
Develop production-quality AI-enabled workflows using technologies such as LLMs, agents, retrieval-augmented generation (RAG) knowledge systems, evaluation frameworks, and human-in-the-loop review patterns to help teams investigate performance, detect anomalies, prepare decision briefs, and plan and evaluate campaigns.
Partner with Marketing to improve and automate workflows for audience segmentation, campaign performance, UA governance and execution, reactivation, event planning, and post-launch analysis.
Safeguard data quality and metric consistency across game, marketing, and executive reporting while promoting responsible AI use through appropriate evaluation, oversight, and human review.
Create reusable internal tools, patterns, and documentation that make AI accessible to non-technical teams while preserving trust, reviewability, and clear source-of-truth data. Contribute hands-on to Tokyo Studio’s broader AI operating model and help teams adopt effective AI-enabled workflows.
Use AI-assisted engineering tools responsibly by validating generated code and analysis through rigorous review, automated testing, and established quality gates (including linting, type checking, and CI) before production.
Qualifications
5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role.
Deep expertise designing, building, deploying, and operating production data platforms across cloud data warehousing (e.g., BigQuery or Snowflake), data transformation and modeling (e.g., dbt), business intelligence and semantic layers (e.g., Looker), and workflow orchestration (e.g., Airflow), with demonstrated ownership of reliability, observability, data quality, performance, cost efficiency, and production troubleshooting.
Exceptional SQL skills and strong data-modeling fundamentals, including dimensional modeling, metric design, semantic layers, and scalable analytical data products, along with strong ability to write clean, maintainable production code for pipelines, automation, integrations, and AI-enabled workflows.
Hands-on experience building AI solutions for real business workflows, including LLM applications, AI agents, Model Context Protocol (MCP) or similar tool-integration layers, retrieval-augmented generation (RAG), prompt and tool orchestration, and model evaluation.
Strong judgment and hands-on experience establishing data-quality controls, consistent metric definitions, and responsible AI practices across data and AI-enabled systems (including reliability, privacy, access control, explainability, evaluation, and human review) and validating AI-generated code and analysis through code review and automated testing.
Experience building tools for and working directly with Product, LiveOps, Marketing, User Acquisition (UA), CRM, or Game Operations teams, with the ability to identify and prioritize high-impact opportunities and translate ambiguous business and operational needs into durable technical systems that teams can trust and reuse.
Experience building reusable internal data and AI tools and driving adoption among technical and non-technical users through documentation, training, and hands-on enablement, while contributing to AI operating models through shared standards, governance, ownership, and review practices across functions and regions.
Excellent business-level verbal and written communication in both English and Japanese.
Ability to work from Scopely Explore’s Tokyo office three days per week.
Plus If...
You enjoy helping teams become more capable by building practical systems that combine better tools, trusted data, and thoughtful automation to support faster, better-informed decisions.
You are passionate about games and player behavior, have experience with free-to-play mobile, live-service, or location-based products, and are familiar with real-world or social mobile games such as Monster Hunter Now, Pikmin Bloom, or Pokémon GO.
You have experience modernizing prototype or locally operated data workflows into reliable, scalable, cloud-managed production systems.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
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
As a Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team.
Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth.
Key responsibilities
Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement
Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control
Develop evaluation frameworks for agent behavior, and run them in development and in production
Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue
Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse
Set the technical direction for how we build, evaluate, and operate agents across the team
Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high
Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe
Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams
Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques
Minimum qualifications
Strong programming skills in Python or TypeScript, with experience building and operating production applications
Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks
Experience using evals and transcript analysis to find and fix real problems in an LLM system
Working fluency with data, including SQL
Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems
Passion for advancing safe, beneficial AI, and care for the people who use what you build
Preferred qualifications
8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply
Experience with the Claude Code and the Claude Agent SDK
Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team
Experience growing a codebase that many people contribute to, inner-source or open-source
Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis
Exceptional communication skills to convey technical concepts to non-technical partners with low ego
Representative projects
(Illustrative of the kind of work, not a project list.)
Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action
Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change
Ship an MCP server that gives sellers and their agents governed access to a core revenue system
Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy
Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action
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: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma is building its founding Forward Deployed Engineering team to solve the complex, real-world challenges that emerge when bringing Figma’s products into large-scale enterprise environments and looking for founding Forward Deployed Engineers. As a Forward Deployed Engineer, you’ll embed directly with strategic customers, working across their codebases, design systems, developer environments, and workflows to make Figma’s products successful within their unique technical constraints. You’ll tackle the hardest adoption challenges hands-on, from complex frontend stacks and legacy systems to security and access requirements, while building trusted partnerships with customers’ senior engineering teams.
This is a senior/staff-level engineering role within Product and Engineering, not a sales or services function. You’ll work directly in customer environments when needed, using the minimum access required. Your goal is smooth adoption by the customer’s product and engineering teams, which means making complex workflows work simply in their environment and solving the underlying problems You’ll do that hands-on, often by writing Figma product code, then turn what you learn into a reusable path for future customers instead of taking permanent ownership of the customer’s codebase. Working closely with Figma’s Product, Engineering, Sales, and Customer Experience teams, you’ll help shape both the product and how this brand-new function works and scales. The role is highly collaborative, deeply customer-facing, and built for engineers who thrive in ambiguity, take end-to-end ownership, and want to solve the highest-impact problems at the intersection of product, engineering, and customer needs. This role includes periodic travel to work alongside strategic customers in person.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Make an enterprise design system agent-ready so AI tools generate faithful, on-system code: fix tokens, naming, and guidelines, wire up Code Connect, and run evals
Get Make Local, Code Layers, and our newest products working in a customer’s real environment, writing code, config, agent skills, and guideline files against their systems and ours
Run technical discovery: understand a customer's dev environment, toolchain, and constraints, then scope the fastest credible path to value, in addition to setting the customer up for long term success
Debug hard, unfamiliar integration problems (git workflows, CI, dev-environment setup, non-standard stacks)
Build LLM-powered workflows: MCP setup, agent skills, and prompt engineering tuned to each customer’s context
Turn one-off solutions into reusable playbooks and product feedback, so patterns you solve once become self-serve or shipped product
Bring learnings on friction back to Figma's Product and Engineering teams, influence what gets built next, and often build it
We'd love to hear from you if you have:
5+ years shipping production software end-to-end, with meaningful time embedded with customers or partner teams
Excellent customer-facing communication and technical partnership skills, with the ability to build trust with senior engineers and translate customer needs into actionable product and engineering solutions
Strong engineering fundamentals and adaptability, with the ability to quickly navigate unfamiliar codebases, languages, and technical environments to deliver production-ready solutions
Hands-on experience with design systems and design-to-code workflows, including component libraries, tokens, documentation, and the tooling that connects design artifacts to production code
Proficiency in TypeScript/JavaScript or Python, including demonstrated fluency with agentic coding tools (e.g., MCP, agent orchestration). You have hands-on experience integrating APIs and SDKs, troubleshooting toolchains and CI environments, and navigating enterprise requirements such as SSO, security reviews, access controls, data residency, and compliance frameworks
Comfort owning ambiguous technical problems end to end, identifying patterns across customer engagements, and turning field learning into reusable product improvements
While it's not required, it's an added plus if you also have:
Background in forward-deployed engineering, solutions engineering, professional services, developer experience, or a similar customer-facing technical role
Familiarity with developer tools, design-to-code workflows, or AI/LLM products, including tools such as Code Connect, Storybook, Style Dictionary, or comparable technologies
Proven ability to partner cross-functionally with Sales, Customer Experience, Solutions Architecture, or related teams to deliver complex enterprise engagements
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
Austin, TX | San Francisco, CA | Lisbon, Portugal | London, UK
About the Department
Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We're increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work.
Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations.
What You’ll Do
We’re looking for a Principal Engineer to establish technical direction across Enterprise Applications and help teams turn that direction into reliable, incremental delivery. You’ll design systems, lead complex cross-team initiatives, influence engineering practices, and remain hands-on with implementation where your contribution has the greatest leverage.
This role requires navigating ambiguity, adapting technical strategy as conditions change, and building alignment across engineering and business stakeholders. You’ll model responsible AI-assisted engineering, operational excellence, sound judgment, and attention to detail.
Responsibilities include:
Establish and communicate technical strategy across multiple teams, translating long-term direction into incremental delivery plans.
Lead complex, cross-functional initiatives from problem definition through architecture, implementation, deployment, and operation.
Influence technical decisions across teams through design reviews, prototypes, standards, mentoring, and hands-on contributions.
Build and extend AI-enabled systems, including agents, evaluation frameworks, MCP servers, and workflow automation.
Determine when AI is appropriate and when deterministic software offers a safer, simpler, or more reliable solution.
Establish practices for evaluating AI systems, including quality, reliability, security, cost, latency, and human oversight.
Improve engineering effectiveness through reusable platforms, operational tooling, automated diagnostics, and development workflows.
Partner with business and technical stakeholders to convert ambiguous problems into clear technical strategies and measurable outcomes.
Desirable Skills, Knowledge, and Experience:
Bachelor's degree in Computer Science or related field, or equivalent work experience
10+ years of professional software engineering experience as a guideline
Proficiency in at least one backend language.
Experience with LLM APIs (Anthropic, OpenAI, etc.)
Experience with AI guardrails/governance best practices
Demonstrated experience delivering AI-enabled systems beyond experimentation. Candidates should be able to explain their individual contribution, evaluation approach, production constraints, failure modes, and measurable outcomes.
Demonstrated experience influencing technical culture and best practices without authority.
Familiarity with integration patterns (pub/sub, API-first, CDM, batch processing)
Experience working with stakeholders to solve business problems through integration or automation solutions
Experience building APIs with proper security and operational practices
Experience with observability tooling (e.g. Grafana, Prometheus, Sentry, Kibana, Splunk or similar)
Working familiarity with containerized/cloud environments (Kubernetes, or equivalent cloud-native experience)
Experience with serverless computing platforms (e.g. AWS Lambda, Google Cloud Functions, Azure Functions, or Cloudflare Workers)
Experience with GitLab or other CI/CD tooling
Willingness to participate in an on-call rotation for roughly one week every two months
Bonus Points:
Experience with business financial systems, such as Oracle or NetSuite
Experience with PostgreSQL
Experience with Cloudflare Developer Platform (Workers, Workflows, D1, etc.)
Experience with Go, Python and TypeScript
Compensation
Compensation may be adjusted depending on work location.
For Portugal-based hires: Estimated annual salary of €79,000-€109,000
For Bay Area based hires: Estimated annual salary of $230,000 - $317,000
Equity
This role is eligible to participate in Cloudflare's equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: San Francisco, California; New York, New York
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:
As a Developer Platform https://www.notion.com/product/dev engineer, you will directly contribute to the foundational pieces that make Notion extensible and connected. You will build tools, APIs, and platform experiences that help customers connect Notion to the world — bringing their apps, data, and workflows into one workspace. Your work will make it easier for developers, admins, and builders to create reliable integrations and automations on top of Notion.
You will be a key player in building the robust technical foundation that allows Notion to achieve the connected workspace vision. Your work will include both internal platform contributions that accelerate other Notion engineering teams and end-user-facing functionality that enables toolmaking ubiquity. You will be presented with challenging technical problems, as Notion’s product needs are complex. You’ll play a key role in identifying and executing against technical investments that ensure the long-term quality, reliability, and performance of Notion’s platform as we scale.
This role can be based in either San Francisco or New York City. 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:
- You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance.
- You’ll evolve Developer Platform capabilities across APIs, MCP tools, and integration infrastructure that help customers automate workflows, customize Notion, and connect Notion to the tools and data they use every day.
- You’ll contribute to the overall performance, reliability, and robustness of the Notion product, ensuring it scales elegantly across many dimensions.
- You’ll partner with engineering leaders to identify and execute against high-leverage technical investments that ensure the long-term flexibility and sustainability of our core systems.
SKILLS YOU'LL NEED TO BRING:
- 10+ years of experience shipping production software, with a strong track record of owning features end-to-end
- Fluency with TypeScript across both backend and frontend
- Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope
- You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results
NICE TO HAVES:
- Experience building developer tools like APIs and SDKs
- Experience driving teams toward shared goals and balancing business priorities with individuals’ strengths, areas of interest, and career development goals
- Familiarity with AI/agent tooling, evals, or LLM-driven product experiences
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. For roles based in San Francisco or New York City, the estimated base salary range for this role is $272,000 – $304,000 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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#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: Bengaluru, Karnataka, India, APAC
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
As a Staff Full-Stack Engineer on the Cloud Clients team, you’ll own end-to-end delivery across the surfaces where dbt developers do their work:
dbt Studio in the browser, the dbt VS Code extension, and the CLI workspace runtime that powers both
.
You’ll help build dbt’s
AI-native developer experience
, including agent workflows, diff review, streaming tool calls, charts and rich outputs for conversational analytics, and MCP apps that bring dbt projects directly into tools like Claude and Codex. This is a true full-stack role: you’ll work across
Python, TypeScript, React, and Kubernetes
, with the expectation that you can take a feature from schema and service design through to the final pixel without a handoff
What you’ll do
Own parts of the CLI workspace runtime that backs both surfaces, including migrating users off our legacy IDE and enabling asynchronous, background agent runs.
Design and build agent-facing experiences: streaming responses, transparent tool calls, diff review, and charting / rich output for conversational analytics.
Extend dbt into other developer surfaces — MCP integrations that make dbt projects usable directly from AI clients like Claude and Codex.
Lead well-scoped projects end to end: write the plan, partner with design and product, ship in two-week increments, and measure whether it worked.
Share oncall and customer support for your surfaces, and mentor engineers earlier in their careers.
Skills we are looking for
8+ years building production software, including senior-level ownership of projects that ran for months and involved several people.
Deep Python experience plus exposure to TypeScript and React experience — you move across the stack without waiting for a handoff.
Built and maintained something other developers depend on: an IDE, an editor extension, a CLI, an SDK, an LSP server, or a data tool.
Comfort with the operational side of shipping — APIs, Kubernetes, Postgres, observability — and with being on the hook when something breaks.
Strong written communication: you can make a technical argument in a document and bring people along.
Worked asynchronously as part of a fully-remote, distributed team
Bonus points for
Shipped LLM- or agent-powered features to production, with real opinions on evaluation, latency, cost, and where models fall down.
Worked with the Language Server Protocol, Monaco, CodeMirror, or other code-editor internals.
Hands-on dbt, SQL, or data warehouse experience (Snowflake, Databricks, BigQuery, Redshift).
Migrated users off a legacy product surface and decommissioned it without breaking them.
Go, Rust, or systems-level performance experience.
#LI-HYBRID
#LI-JI1
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: Bengaluru, India
We are looking for a Senior QE Engineer (L3) with solid experience across the full testing lifecycle and strong Playwright and TypeScript skills. You will analyze requirements, design tests with AI-assisted tooling, build UI and API automation within the sprint, perform manual testing where it is required, verify defects through resolution, and contribute to release readiness for your assigned product area.
AI-assisted work is part of everyday QE practice on this engagement, with Cursor used for scripting and test generation.
You will also define test strategy for complex UI applications, design frameworks, own CI integration on GitHub Actions, govern the suite, and mentor L1 and L2 engineers when they are assigned to the area.
This position is intended for Hyderabad-based candidates who are available to work from the office.
The client operates a scaled Quality Engineering function across a broad technology landscape: SaaS and custom-built systems spanning ERP, CRM, CMS, LMS, e-commerce, exam and certification delivery, and supporting data platforms running across AWS and Azure. Quality is a continuous team responsibility, supported by an AI-native testing platform, automation-first practices, and a structured weekly release cadence.
Playwright with TypeScript is the enterprise automation standard. QE engineers own the full quality lifecycle for their assigned product area and contribute to a shared automation platform already in production.
Analyze stories, acceptance criteria, and specifications, and design test cases with AI-assisted tooling to identify scenarios, coverage gaps, and risks before development begins.
Define test strategy and coverage for complex UI applications, and design and implement Playwright and TypeScript automation frameworks.
Build and maintain automated UI and API coverage in TypeScript and Playwright within the sprint, including API component tests and API automation inside end-to-end flows.
Perform manual testing where it is required, including where automation is not possible or not sufficient, and use exploratory testing as part of that work.
Use Postman for exploratory, contract, and functional API validation.
Use service virtualization so UI and API suites can run when a dependency is unavailable.
Own CI/CD integration for UI and API suites on GitHub Actions, including cross-browser and cross-platform execution on LambdaTest.
Design test suites in TestRail and keep them aligned with automated coverage and CI results.
Report, track, and verify defects through resolution in Jira, coordinating with developers and product teams on priority and impact.
Use Cursor daily to write, review, and refactor tests, and use GenAI, LLMs, agentic workflows, and existing RAG and MCP solutions in test design, generation, and maintenance.
Support release readiness for the assigned product area by reviewing Allure results.
Monitor automation health and defect trends and raise quality concerns proactively.
Mentor engineers when they are assigned to the area, review automation contributions, and keep framework standards and documentation current.
Use AWS or Azure for deployment, secrets, database services, and the cloud-native infrastructure that test environments depend on.
6 to 10 years of quality engineering experience across the full testing lifecycle, including manual testing where it is required, exploratory testing, defect management, and automation.
Strong Playwright and TypeScript proficiency for UI framework design, API component tests, and API checks inside end-to-end flows.
Experience with API validation using Postman or an equivalent tool.
Experience with service virtualization for dependencies that are unavailable during testing.
Experience with CI/CD and cross-browser execution using GitHub Actions, LambdaTest, or equivalent tools.
Experience with test management and defect tracking using TestRail, Jira, or equivalent tools.
Experience with release reporting using Allure or an equivalent tool.
Hands-on use of Cursor or an equivalent AI coding assistant, with working familiarity with GenAI, LLMs, agentic workflows, RAG, and MCP using existing framework capabilities.
Understanding of microservices, REST, and GraphQL sufficient to design and execute API tests.
Familiarity with AWS or Azure, including deployment, secrets, database services, and cloud-native test infrastructure.
Experience mentoring junior engineers.
Experience governing automation frameworks through code review and documentation.
Experience working on Agile teams.
Analytical skills to define test scope and coverage.
Ability to communicate clearly with developers, product, and delivery teams.
Hands-on experience implementing AI-driven test generation and execution, self-healing automation, intelligent test selection, or predictive defect analysis within a Playwright and TypeScript platform.
Experience bringing SAST, SCA, DAST, and code quality thresholds into UI or API pipelines (Checkmarx, Snyk, OWASP ZAP, SonarQube, or equivalent).
Knowledge of AI-driven test optimization and coverage analytics (SeaLights or equivalent).
Real-device or mobile-web execution on LambdaTest or an equivalent platform.
Exposure to enterprise SaaS platforms such as ERP, CRM, CMS, or LMS systems in a QE context.
Familiarity with performance or accessibility testing approaches.
Location: Remote; Europe; United States; New York; Switzerland; United Kingdom
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for a Developer Experience Engineer to join us in our goal of making the ElevenLabs developer experience the gold standard other companies look up to.
You'll help design, build and maintain our open source projects to drive developer adoption. Whether it's our server and client side SDKs or MCP server, you'll be directly involved in the developer journey for new and existing products.
Additionally you'll help design and improve the ElevenLabs API, build developer tooling, and act as "customer zero" for new developer products.
This role is perfect for someone who enjoys open source software and jumping between multiple programming languages across the stack. This role is for engineers who are motivated by improving the developer experience — hands on keyboard, building the developer experience.
Requirements
- You enjoy building and maintaining open source projects — ideally you've created or maintained SDKs.
- A strong full-stack engineering skillset with a flair for API design.
- A passion for writing engaging technical content incl. in-depth blog posts.
- Are an excellent communicator able to triage technical issues.
- Bonus: You enjoy attending, speaking and engaging at developer conferences.
Location:
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Проект: AI-платформа нового поколения. Миссия — спроектировать и внедрить экосистему для комплексного управления большими языковыми моделями (LLM).
Задачи:
- Самостоятельная разработка функционала платформы на Python
- Тестирование нового функционала
- Самостоятельное участие в процессах и решение средних и сложных задач
- Обнаружение дефектов и повышение качества программного продукта
Требования:
- Опыт коммерческой разработки бэкенд-разработчиком — от 4 лет
- Понимание принципов взаимодействия с LLM, MCP-серверами
- Опыт работы с реляционными БД и SQL, векторными базами данных
- Опыт работы с FastAPI
УдалённоseniorГеография найма не уточнена, офис: Москва
Location: Munich; Neuss; Berlin
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Role: Forward Deployed AI Engineer
- Department: Forward Deployed Engineering
- Location: Germany
- Reports to: VP, Forward Deployed Engineering
- Working type: Hybrid (On-site at customer locations approx. 50% of time)
- German security clearance (Sicherheitsüberprüfung Ü1/Ü2/Ü3)
- Must be eligible and able to attain relevant national and NATO security clearances
- Must be based in-country and native level speaker of the country you're deploying to.
THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER
In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
DAY TO DAY RESPONSIBILITIES:
PLATFORM DEPLOYMENT & INTEGRATION
- Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).
- Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.
- Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.
- Troubleshoot deployment issues in disconnected environments without external internet access.
AI SOLUTION DEVELOPMENT & CUSTOMIZATION
- Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.
- Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.
- Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.
- Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.
DATA FUSION & INTELLIGENCE WORKFLOWS
- Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).
- Develop automated workflows that correlate and cross-reference information across different data modalities.
- Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.
CUSTOMER ENGAGEMENT & RAPID PROTOTYPING
- Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.
- Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.
- Conduct hands-on training sessions on platform capabilities and AI workflow usage.
- Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.
WHAT WE ARE LOOKING FOR
MUST HAVE SKILLS:
- 3+ years hands-on software engineering building and deploying production systems.
- Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
- Hands-on experience with LLMs, prompt engineering, and RAG systems.
- Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
- Experience with Docker and deploying in secure / isolated / air-gapped environments.
- Practical experience with APIs, data pipelines, and integrating systems in production,
- Familiarity with Linux and basic Kubernetes operations.
- Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.
- Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
- Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
- Willingness to travel 40–60% to customer sites within the region.
NICE TO HAVE SKILLS:
- Experience in defense, intelligence, or government operational environments.
- Deploying to on-prem data centers and/or air-gapped networks.
- Familiarity with geospatial data, satellite imagery, or remote sensing.
- Experience with MCP integrations, multi-agent systems, or agentic workflows.
- Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
- Understanding of intelligence analysis workflows and defense/government requirements.
- Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
- Background in solution engineering, technical consulting, or customer success.
- Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).
APPLICATION PROCESS
- Talent Acquisition Interview
- Take home task
- Hiring Manager Interview
- Hiring Team Interview
- Offer Decision
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com
San Francisco
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United States; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
Toronto, Ontario, Canada; We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications; We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics
seniorIreland, Dublin
JP - Tokyo, Japan
УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
San Francisco, CA • New York, NY • United States
География найма не уточнена
ГибридSan Francisco, California; New York, New York
Bengaluru, Karnataka, India, APAC
seniorBengaluru, India
УдалённоRemote; Europe; United States; New York; Switzerland; United Kingdom
ГибридMunich; Neuss; Berlin; Must be based in-country and native level speaker of the country you're deploying to
Автоотклики