Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
About the role
We are looking for a Principal Engineer to help define and drive the next generation of GitLab’s Fulfillment platform.
Fulfillment ensures that customers receive the right product access and can manage seats, usage, and spend across GitLab.com, Self-Managed, Dedicated, and other deployment models. Its core areas include entitlements, licensing and provisioning, seat management, usage visibility, and cost management.
The existing platform has served GitLab for approximately a decade and now faces significant challenges in scale, maintainability, and architectural complexity. This role will help us understand where we are today and define how Fulfillment should work over the next ten years.
This is a senior player-coach role. You will set architectural direction across the Fulfillment portfolio, make critical technical decisions, and work directly with teams to execute the resulting modernization strategy. You will influence across organizational boundaries while remaining hands-on in design, implementation, technical problem-solving, and mentorship.
What you’ll do
Define and communicate the long-term architecture and technical strategy for Fulfillment, including target state, principles, priorities, and migration sequencing.
Assess the current platform and address its most important risks across scale, reliability, performance, data correctness, operability, and maintainability.
Drive architectural decisions across entitlements, provisioning, seat management, usage visibility, and cost management.
Establish clear service boundaries, data ownership, contracts, and integration patterns across Fulfillment, Monetization, billing, Salesforce, and product services.
Lead an incremental modernization program that improves the existing platform while continuing to deliver customer and business value.
Partner with Engineering Managers, Product Management, and cross-functional stakeholders to turn architectural direction into executable roadmaps and shipped outcomes.
Be hands-on with the hardest problems, including prototypes, critical implementations, migrations, performance improvements, reliability work, and incident learning.
Champion practical artificial intelligence (AI) adoption across Fulfillment, including agentic coding and AI-assisted engineering workflows, and help teams apply these tools responsibly and effectively.
Mentor and coach Senior and Staff Engineers and raise the quality of technical decision-making across the organization.
What you’ll bring
10+ years of professional software engineering experience, including substantial experience at Staff, Principal, or equivalent technical leadership level.
Direct experience building, operating, or modernizing Fulfillment systems, including areas such as entitlements, licensing, provisioning, subscription lifecycle, seat management, usage metering, usage billing, or cost controls.
A track record of setting technical direction across multiple teams and turning architecture into reliable, operated systems.
Deep experience with distributed systems, scalability, availability, performance, observability, data integrity, and failure-mode analysis.
Comfort working in one or more of Ruby, Go, and Python, with the ability to navigate both Backend and Frontend in a polyglot system.
Practical experience using artificial intelligence in software engineering, including agentic coding or AI-assisted development workflows.
Demonstrated success modernizing mature or degraded platforms without relying on a risky “big bang” rewrite.
Experience designing systems that span multiple deployment models, such as software as a service, Self-Managed, Dedicated, or disconnected environments.
Strong product and business judgment, with the ability to connect technical investment to customer experience, revenue, operational efficiency, risk reduction, and time to market.
Excellent written communication and the ability to influence senior stakeholders across teams without formal authority.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$223,000
—
$317,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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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!
Production Engineering embeds with product and platform teams across Figma to help them deliver reliable products faster. Our work spans the stack, from browser performance to backend services and infrastructure. We build tools and practices that reduce operational complexity, clarify important signals, and leave teams confident operating their systems. We value curiosity, thoughtful engineering, and practical progress on problems that matter to the business.
As Engineering Manager, you’ll own the team’s strategy, priorities, delivery, and people development. You’ll work with product and platform leaders to decide where the team can make the biggest difference, balancing immediate production needs with lasting improvements. You’ll use your technical judgment to challenge assumptions and assess risk while giving engineers room to lead.
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:
Coach and develop production engineers, including experienced technical leaders, through direct feedback and opportunities to shape technical strategy and lead work across teams
Set priorities and guide delivery for the team’s embedded work with Figma’s product and platform organizations. Align partners on outcomes, responsibilities, and tradeoffs, and resolve competing demands
Guide improvements to observability, incident response, and production tooling that reduce recurring toil, surface actionable signals, and make services easier for product teams to understand and operate
Partner with engineers on long-term technical direction, design, and production reviews, supporting their ownership of technical decisions and holding the team accountable for delivery
Anticipate reliability and scaling challenges alongside partner-team leaders, and prioritize improvements that support upcoming product goals
Turn lessons from work with product teams and production incidents into reusable tools and practices that strengthen partner teams’ ownership and make on-call more sustainable
We’d love to hear from you if you have:
Experience managing engineering teams and developing senior engineers, helping them grow their technical judgment, leadership, and impact
Experience building and operating complex software systems at scale, with the technical judgment to guide decisions across the stack and learn unfamiliar systems
Experience leading complex initiatives across engineering teams and cross-functional partners, earning trust beyond your reporting line, resolving competing priorities, and delivering shared business goals
Sound judgment about reliability, security, and sustainable operations, with clear communication and respect for engineers’ technical ownership
While it’s not required, it’s an added plus if you also have:
Experience building shared reliability platforms, observability or distributed tracing systems, or tooling that reduces toil across multiple engineering teams
Familiarity with traffic management, service discovery or service meshes, container orchestration, infrastructure as code, or capacity and performance engineering
Experience improving incident response processes and reducing on-call burden
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:
$258,000
—
$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: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art models on large clusters.
- Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases.
- Manage research projects and communications with client research teams.
ABOUT YOU
- Fluent in English with excellent communication skills.
- Expert with PyTorch or JAX.
- Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM).
- Clean, readable, high-performance Python code.
- Doesn't need roadmaps. Ships.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- PhD / Master in a relevant field (Robotics, Machine Learning).
- Research experience in robotics navigation, perception, manipulation.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: United States
Workplace: Remote
As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments.
You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows.
This position is required to be in the US Eastern Time Zone.
WHAT YOU’LL DO HERE
- Lead and grow a team within our Agentic Engineering organization.
- Set technical direction across the agent harness, integrations, and workflows.
- Stay close to the code and contribute to architecture and implementation decisions.
- Evolve agent execution, tool use, context management, streaming, and long-running workflows.
- Extend our provider-agnostic architecture as models and capabilities change.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
- Improve reliability, performance, and operability across agentic systems.
- Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs.
WHAT WE’RE LOOKING FOR
- Experience managing and growing software engineering teams.
- Strong hands-on engineering experience with Go.
- Experience with React and TypeScript.
- Hands-on experience building systems around LLMs and agentic workflows.
- Experience with model APIs, tool calling, context management, or agent loops.
- Strong distributed systems knowledge.
- Working knowledge of AWS.
- Strong technical judgment and comfort working through ambiguity.
- A track record of helping engineers grow while maintaining a high execution bar.
OUR TECH STACK
- Backend: Go, Postgres
- Frontend: TypeScript, React
- Infrastructure: AWS, Kubernetes
- Observability: Prometheus, Grafana
- CI/CD: GitHub Actions
BONUS TACOS IF YOU HAVE
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- 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 abstractions across multiple model providers.
- Deep experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves.
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: 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:
- 7+ 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 $179,000 – $200,000 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: Paris
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.
We're looking for Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy.
As a Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
What are we looking for:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment.
- Great communication skills and ability to interact effectively with a wide range of stakeholders
- Experience working in agile environments and delivering high-quality code within tight deadlines
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity
- Payments or financial knowledge is a plus, but not a necessity
How you’ll make an impact
- Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
- Define and design loosely coupled, scalable systems in a wider microservices using industry best practices.
- Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout.
- Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
- Build, own and operate your systems to the highest levels of resilience and service.
- Mentor junior team members and assist in their technical development
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Vultr is looking for an Infrastructure Production Engineer to develop automated GPU hardware validation, diagnostics, remediation, and production onboarding tooling.
Location: United States Remote; Canada Remote; United Kingdom Remote
Workplace: Remote
ABOUT THE TEAM
The Mural Compose team is ambitious and fast-moving. We are passionate builders who love to experiment and iterate. Our project is seeking to leverage the latest technology in AI to acquire new customers and expand our revenue base as broadly as possible. This team is at the front of our product strategy and future growth.
YOUR MISSION
You'll lead the team behind one of Mural's most important bets. In the near term, you'll take our AI native product from early access to a product that customers rely on every day, raising quality, reliability, and speed as more users come on board.
Expect a very hands-on role. You'll review PRs, set the technical standards the team builds to, and stay close to the code and architecture decisions. You'll also keep the team's pace high and sustainable while building a high-performing team in a remote-first way.
WHAT YOU'LL DO
- Lead, hire, and grow a team of full-stack engineers through regular 1:1s, clear expectations, coaching, and performance management.
- Own delivery end to end with a fast, experimental loop: ship early to real users, measure what works, and iterate quickly without losing reliability.
- Partner with Product and Design as co-owners of the Compose roadmap, using customer feedback and usage data to decide what to build, cut, or double down on.
- Raise engineering craft across testing, observability, and AI-assisted development, and model Mural's remote-first, work-in-public culture at a sustainable pace.
WHAT YOU'LL BRING
- 2+ years managing software engineers directly, with responsibility for hiring, coaching, and performance management.
- 5+ years of prior experience as a software engineer building and operating production applications, with hands-on technical work in the last 3–4 years.
- A solid technical foundation, enough to lead architecture discussions and review code with credibility.
- A bias for experimentation: you make sound calls quickly, learn from data, and change course when the evidence says so.
- A people-first approach: you lead with empathy, listen first, and build the trust and psychological safety that help each person do their best work.
- Excellent communication skills, including explaining technical tradeoffs clearly to product, business, and customer stakeholders.
- Experience leading a team that shipped LLM-powered features to production, including evaluation, quality monitoring, and cost management.
- Experience building AI agents, retrieval systems, knowledge graphs, or familiarity with Model Context Protocol (MCP).
Our Stack
Azure OpenAI, React, Node, MongoDB
EQUAL OPPORTUNITY
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Location: Germany; Portugal; France; Spain; Italy; The Netherlands
Workplace: Hybrid
WHY SDK ENGINEERING AT LANGFUSE
YOUR WORK WILL HAVE AN OUTSIZED IMPACT.
Our SDKs are downloaded 26M+ times per month. When you ship a new integration or improve SDK performance, thousands of developers benefit the same day — and they'll tell you about it in GitHub issues, on Twitter, and in our community channels. Everything you build is open source (MIT-licensed) and immediately visible.
The SDK is often the very first thing a developer touches when they try Langfuse, so your work directly shapes their first impression.
You will also have direct exposure to how cutting-edge LLM-applications are built. The users you serve are some of the best and most ambitious software engineers in the world and that leverage Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible SDK experience and along the way makes you an expert on LLM engineering yourself.
YOU WILL GROW AT LANGFUSE BY
- Owning our SDKs. We maintain SDKs in Python and TypeScript both built on OpenTelemetry. You'll be responsible for their reliability, performance, and developer experience. These SDKs run inside our users' production systems, which means they must never fail, must have minimal impact on CPU and memory, and must work flawlessly across every environment — from serverless functions to long-running agent loops. You'll think deeply about the exposed interfaces, error handling, batching, async flushing, and graceful degradation.
- Designing APIs that developers love. How are functions named, how are parameters structured, how are breaking changes communicated, how does the documentation read? Developer experience is a core differentiator for Langfuse and you'll own every detail of it. When we shipped the Python SDK v3 https://langfuse.com/changelog/2025-06-05-python-sdk-v3-generally-available and TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga, both were full rewrites on OpenTelemetry — that's the kind of thoughtful, high-impact SDK work you'll lead. Apart from tracing, we also support core workflows of engineers building with LLMs with our SDKs, see our Experiment Runner SDK https://langfuse.com/docs/evaluation/experiments/experiments-via-sdk#experiment-runner-sdk for example.
- Integrating with every major AI framework: Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You'll maintain these integrations, ensure new Langfuse features are supported across all of them, and add new integrations as the ecosystem evolves. When a new framework gains traction, you'll be among the first to instrument it.
- Maintaining our OpenTelemetry endpoint: some users send traces directly to our OTLP endpoint https://opentelemetry.io/docs/specs/otlp/ instead of using our SDKs. You'll ensure this path is robust, well-documented, and supports the full range of Langfuse features. This also extends our language support to Java, Go, and any language with an OpenTelemetry SDK. You can work with the OpenTelemetry community to steer the GenAI conventions.
- Writing public documentation: you'll own the SDK docs, integration guides, and migration paths. At Langfuse, docs are part of our core product. When you ship a new SDK version or integration, the docs ship with it.
WHAT WE'RE LOOKING FOR
- Strong engineer who gets excited about developer experience, API design, and writing code that runs reliably in other people's production systems
- Experience building or maintaining SDKs, client libraries, or developer tools — ideally in Python and/or TypeScript
- Deep understanding of performance: you know how to profile, benchmark, and minimize CPU/memory overhead in hot paths
- Someone who can manage projects themselves — you know how to develop strong conviction about what to build and how to ship it
- Thoughtful about versioning, backwards compatibility, and migration paths
- Interest in open source software and genuine excitement about talking to developers about their integration challenges
- Thrives in a small, accountable team where your output is visible and matters
- CS or quantitative degree preferred
Bonus points:
- Experience with OpenTelemetry internals or observability instrumentation
- Former founder or early startup experience
- Contributions to popular open source SDKs or developer tools
- ML/AI background or familiarity with the LLM framework ecosystem
No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.
LEARN MORE ABOUT
- SDK Overview https://langfuse.com/docs/observability/sdk/overview — architecture and design of our Python and TypeScript SDKs
- All Integrations https://langfuse.com/integrations — the full list of frameworks, model providers, and gateways we support
- OpenTelemetry Integration https://langfuse.com/integrations/native/opentelemetry — how we use OTEL as the foundation
- SDK Upgrade Paths https://langfuse.com/docs/observability/sdk/upgrade-path — how we think about versioning and breaking changes
- Project you could have built: TypeScript SDK v4 (GA) https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga
- Project you could have built: Python SDK v3 (GA) https://langfuse.com/changelog/2025-06-05-python-sdk-v3-generally-available
- Our codebase: GitHub Repository https://github.com/langfuse/langfuse/
- Ben Kuhn on Impact, Agency and Taste https://www.benkuhn.net/impact/
- Who we are & how we work https://langfuse.com/careers
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- RF Test Engineer
- Location: Espoo, Finland
- Department: Spacecraft Hardware
- Reports to: Electronics and RF Test Team Lead
- Employment type: Permanent
- Workplace model: On-site / Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
In this role, you will play a key part in supporting the company's continued growth as we expand our Engineering team. We are looking for an RF Test Engineer to join our office in Espoo. In this position, you will be responsible for supporting the qualification of new satellite hardware, developing test equipment, and contributing to the Assembly, Integration, and Testing (AIT) activities for next-generation satellite platforms.
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.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Develop qualification plans that verify our latest RADAR components, along with other RF-related satellite hardware, against their design requirements.
- Prepare and maintain documentation for internal reviews, including test procedures, test reports, assembly procedures, and other supporting records.
- Carry out a wide range of qualification tests.
- Analyze test data, investigate the root cause of any failures, and present findings to key stakeholders.
- Give clear, actionable feedback to the design teams.
- Design and build EGSE, data acquisition systems, and custom test hardware and software.
- Support the transition of new hardware components into production.
WHAT WE’RE LOOKING FOR
Must haves:
- BSc/MSc in Telecommunications Engineering, Electronics Engineering, or a related field
- 3+ years of experience in testing, test automation, electronics, and RF
- Background as an RF test engineer and/or RF design engineer
- Hands-on experience testing custom electronics systems with a wide range of lab equipment, such as digital oscilloscopes, vector network analyzers, spectrum analyzers, RF signal generators, RF power sensors, and thermal chambers
- Proven experience performing root-cause analysis on failures
- A positive attitude and a drive to learn new things
- Ability to thrive in a multicultural environment
- Strong written and spoken English
Nice to haves:
- Aerospace industry experience
- Hands on experience in satellite assembly
- Experience with linux operating systems
- Experience in programming with python
- PCB design with Altium or a similar electronics design (EDA) tool.
- Experience with revision control tools (like Git or SVN)
APPLICATION PROCESS
- Recruiter screening
- Hiring manager interview
- Technical task
- Technical panel interview
- Director interview
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 http://iceye.com.
Location: London
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
ABOUT THE ROLE
You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems.
The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves.
You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model.
What You'll Do
- Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data.
- 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP.
- Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production.
- Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling.
- Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps.
- Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems.
- Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate.
WHAT YOU'LL BRING
- Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience.
- Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area.
- Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion.
- The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously.
- Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy).
- Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems.
- A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data.
- Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines.
NICE TO HAVE
- PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued.
- A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS.
- Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors.
- Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data.
- Evidence of technical leadership, mentorship, or successful cross-functional delivery.
COMPENSATION & BENEFITS
Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
LOCATION & WORK MODEL
This role is based in our London office, with three days per week in office. We welcome applications from candidates who require visa sponsorship.
INCLUSIVE APPLICATION
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
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ГибридParis; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоUnited States; This position is required to be in the US Eastern Time Zone
ГибридSan Francisco, California; New York, New York
ОфисParis
УдалённоГеография найма не уточнена
ГибридseniorGermany; Portugal; France; Spain; Italy; The Netherlands