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, New York, San Francisco, Canada, Remote
About the Team
We manage an internal, multi-region PostgreSQL platform that enables engineers to rapidly build, deploy, and operate services. Our mission is to provide a highly available, stable, and self-service platform with clear operational visibility. As a Systems Engineer, you will collaborate with database engineers, developers, and infrastructure teams to evolve our database architecture and automation. You will be instrumental in scaling our PostgreSQL infrastructure and enhancing database reliability. If you are passionate about PostgreSQL, automation, reliability, and database tooling, let's connect!
Role Responsibilities
Build, deploy, and manage PostgreSQL database clusters in production environments.
Develop and maintain database tooling for automation, monitoring and performance tuning.
Implement high availability, backup and disaster recovery solutions.
Work closely with Infrastructure and Applications teams to integrate database tools.
Implement proactive solutions using observability tools to monitor database health.
Optimize database performance, indexing strategies, and query tuning.
Role Requirements (Must-Have Skills)
Must-Have Skills
Experience with building, scaling, and managing large-scale multi-tenant PostgreSQL database clusters, encompassing high availability failover, and disaster recovery strategies.
Experience with infrastructure-as-code (Terraform, Ansible or Salt) .
Experience in scripting languages (Python, Bash) for automation.
Experience building and maintaining database tooling for automation and monitoring.
Experience with containerization technologies like Docker and Kubernetes.
Experience optimizing database performance and query tuning.
Experience with alerting and monitoring tools such as Prometheus, Grafana, and Kibana.
Nice-to-Have Skills
Experience developing software in Go, Ruby or C/C++
Contributions to PostgreSQL or relevant open-source projects.
Expertise in database schema migrations and automation using tools like Flyway, Liquibase or goose.
Experience with connection pooling solutions such as PgBouncer, HAProxy.
Experience with non-relational data stores such as Distributed & time-series databases (ex. Cassandra, Timescale) and key-value stores (eg., Redis)
Compensation
Compensation may be adjusted depending on work location.
For Bay Area based hires: Estimated annual salary of $157,000 - $196,000
For New York based hires: Estimated annual salary of $150,000 - $187,000
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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want
We are seeking exceptional Software Engineering Interns for our 10-week summer program in New York City. As a core member of our engineering team, you'll build and launch features that directly impact real people — helping our members find top doctors and manage medical claims with ease.
You'll work alongside a passionate, multidisciplinary team of engineers, designers, and product managers, taking ownership of meaningful problems in a fast-paced, agile environment. This is hands-on experience building the systems that power our mission: transforming the healthcare economy to deliver high-quality, affordable care for all.
Select interns will be offered full-time roles upon successful completion of the program.
What you will do
Use AI to build, optimize, and maintain software systems
Collaborate across disciplines to understand our domain and iterate on projects
Participate in code reviews, sharing your insights and learning from others
Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued
Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact
What we're looking for
Currently pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028)
Solid CS fundamentals with exposure to front-end (JavaScript, React) or back-end (Python, Node.js) technologies; familiarity with databases or cloud platforms (AWS, Docker) is a plus
Exposure to or interest in building with AI coding agents (we use Claude Code) is a plus
Strong problem-solver who enjoys breaking down challenges and finding elegant solutions
Self-starter who takes ownership of their work and is motivated by real-world impact
Clear communicator who can discuss technical ideas with both technical and non-technical audiences, and takes feedback well
Excited by fast-paced environments and eager to stretch their skills
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation
The weekly pay rate for this role is $2,400. In addition to base compensation, this role is eligible for a housing stipend.
Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want
This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Software Engineer, you’ll be embedded in our Engineering organization.
Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in doing great work and stay curious about new techniques and technologies.
What you will do
Use AI to build, optimize, and maintain software systems
Collaborate across disciplines to understand our users and iterate on new ideas
Protect our users’ privacy and security through secure coding practices
Participate in code reviews, sharing your insights and learning from others
What we're looking for
Recent graduate (Spring 2026) or currently enrolled student (expected graduation of Fall 2026 or Spring 2027), with a Bachelor's or Master's in Computer Science or a related STEM field
Solid CS fundamentals with experience in front-end (JavaScript, React) or back-end (Python, Node.js) technologies
Experience with a database system such as PostgreSQL or ElasticSearch; familiarity with cloud platforms (AWS, Docker) is a plus
Exposure to building with AI coding agents (we use Claude Code) is a plus
A track record of shipping high-quality features through internships or personal projects
Strong technical writing, analytical, and communication skills
Excited to join a high-performing, mission-driven team that values urgency, accountability, and honest feedback
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation
The base pay for this role is $165,000. Individual compensation will depend on qualifications, skills, and applicable laws.
In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more.
Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential by building secure, reliable, and scalable internal systems that keep the company running smoothly.
As a
Staff Full-Stack Software Engineer
specializing in AI, you will personally design and build the AI agent capabilities and product experiences for an internal enterprise intelligence platform. This includes the retrieval, orchestration, and reasoning layer that sits on top of a semantic data layer built and maintained by a partner data engineering team. You’ll turn these capabilities into search, chat, and workflow experiences that help leaders find information and make decisions faster. This is a hands-on, coding-majority role. You’ll build the agents, prompts, tool integrations, and full-stack product surface yourself.
You’ll work directly with product owners, system leads, and domain experts across HR, Finance, IT, Legal, and Workplace to understand real workflows. You’ll also work closely with a partner data engineering team that owns ingestion, the semantic layer, and the underlying data model. You will consume and help shape requirements for that layer rather than building it yourself. Your work will directly improve how Rioters hire, plan, spend, onboard, and operate at scale.
The ideal candidate is a deeply experienced full-stack software engineer who has personally shipped AI-enabled products at scale, is comfortable building in ambiguous and evolving problem spaces, and takes ownership of systems from the first commit through production operation.
The role will report to the Manager of Enterprise Systems Engineering.
Responsibilities:
Build and maintain an orchestrator + specialist-agent architecture (retrieval, tool use, structured outputs, multi-step reasoning) on top of a semantic data layer owned by a partner data team.
Design and implement retrieval and grounding for RAG/semantic search use cases: embeddings, reranking, citation of evidence, and techniques to reduce hallucination.
Integrate agents with internal and external tools/APIs (function/tool calling) to let them take real actions, not just answer questions.
Build the full-stack application layer, APIs, and UI that exposes AI-powered search, chat, and workflow experiences to end users.
Instrument AI features with observability for quality, latency, token usage, and cost, and use it to drive iteration and tuning.
Iterate on prompts and model choices quickly, with sensible fallback behavior when a model, tool, or retrieval step fails or returns low-confidence output.
Apply solid engineering fundamentals: source control, code review, automated testing (unit, integration, functional), CI/CD, and on-call for the systems you own.
Required Qualifications:
Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or related field (or equivalent professional experience delivering enterprise technology solutions).
8+ years of professional experience in full-stack software development
Practical, end-to-end experience building RAG or agentic systems: retrieval, tool-calling, structured outputs, multi-step reasoning, and verification/evaluation loops, not just familiarity with LLM APIs.
Experience designing and running evaluation approaches for nondeterministic systems: curated datasets, automated metrics, human review, and production feedback.
Experience establishing basic AI observability (quality, safety, reliability, latency, token usage, cost) for features you build.
Working understanding of AI security and responsible-use risks, prompt injection, tool abuse, data leakage, access control, model limitations, sufficient to build safeguards into what you ship.
Deep hands-on programming experience in Node, TypeScript, React.
Experience with modern frameworks (e.g., NextJS, NestJS).
Experience building RESTful and GraphQL APIs, working with relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Redis) databases.
Comfortable with cloud infrastructure and deployment: AWS, containers (Docker), orchestration (Kubernetes), CI/CD pipelines.
Familiar with software engineering best practices: automated testing, code review, monitoring/observability, security and performance considerations.
Desired Qualifications:
Deep practical knowledge of retrieval-augmented generation and semantic search, including embedding and reranking models, retrieval design, grounding, citations, and evaluation.
Experience with agent platforms (e.g., LangGraph, AutoGen, CrewAI, or comparable), vector databases, and multi-agent orchestration patterns.
Working familiarity with Python and lakehouse/data-catalog concepts (e.g., Databricks, Unity Catalog), enough to collaborate effectively with the data engineering team, without needing to own pipeline build-out.
Experience shipping an internal AI product from scratch as part of a small, fast-moving team, comfortable with a "scrappy MVP, iterate" delivery style rather than a fully-specified roadmap.
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: New York, NY; Pittsburgh, PA
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding
innovative solutions to complex technical problems
, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role...
As a Senior Site Reliability Engineer, you will work closely with both product and platform engineering teams to ensure Duolingo’s sophisticated distributed systems and products are built and maintained with extraordinary quality, and operated in measurable and scalable ways.
🧠 You will...
Collaborate with internal teams to identify sources of instability in distributed systems and drive operational excellence
Support core infrastructure (i.e understand, diagnose, and debug these systems in production)
Provide system design consulting, develop software platforms/frameworks, and conduct launch reviews and root cause analysis
Maintain and document sustainable postmortem/incident response practices
Advocate for and implement changes that improve reliability, scalability, and velocity
Reduce the burden of toil with iterative development of tooling and automation
Collaborate with engineering teams to release new features and become an authority on our services
✅ You have...
Experience identifying and solving issues in large-scale distributed systems
Experience with Java, Kotlin, Python or Go
An understanding of containerization toolsets and container orchestration technologies (Docker, Mesos, Kubernetes, Nomad, etc)
⭐ Exceptional candidates will have...
Experience in improving automation and tooling to reduce service maintenance toil
Proven experience driving improvements to incident response processes
Experience assessing reliability and troubleshooting issues in Dynamo, MySQL, and/or PostgreSQL databases
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$182,800
—
$247,300 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: United States
Workplace: Remote
We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks.
This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells.
WHAT YOU’LL DO
- Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win
- Lead or support post-sales relationships and renewals when needed
- Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings
- Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks
- Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals
- Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery
- Serve as the agency’s voice, routing insights to Engineering and Product
- Log feature requests and issues in our public/private Git repositories
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks
- Contribute pull requests to Coder’s documentation
WHAT WE’RE LOOKING FOR
- Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required
- Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers
- Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments
- Strong customer-facing skills that win trust with technical stakeholders and program offices
- Ability to translate technical hurdles into mission value in real time
- Understand agentic AI software development use cases and advocate passionately where appropriate
- Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments
- Deep Linux fundamentals and comfort at the command line
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries
- Startup-speed execution, ownership mindset, and a player-coach attitude
WHAT SUCCESS LOOKS LIKE
- You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network.
- You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike.
- Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture.
- You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people.
- Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector.
BONUS TACOS
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Success at both high-growth startups and larger software vendors
- Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools)
- Prior military, intelligence community, or federal civilian service background
- Experience with FedRAMP, DoD IL4/IL5, or ATO processes
- Background in CI/CD, DevOps, or developer-platform products
- Experience in platform engineering or developer platform teams
- Kubernetes, AWS, or related certifications
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: Milan, Italy; Biassono, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide.
Our Tech-Stack
We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack:
- Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation.
- Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React.
- Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native.
- Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.
THE DAY-TO-DAY 🛠️
- Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack.
- Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes.
- Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions.
- Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output.
- Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams.
- Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results.
- Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.
YOUR SUPERPOWERS ⚡
- Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues.
- Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency.
- AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output.
- Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing.
- DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices.
- Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs.
- Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Software Engineer to help us build the next generation of Agentic Codebases.
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy
- Reporting to the Senior Engineering Manager, Developer Productivity
As a Senior Software Engineer, Developer Productivity, you'll:
- Design and build the Nest.js service scaffolding that lets product teams stand up new backend services in our next-generation monorepo
- Implement paved paths, generators, and the platform primitives that make a new service work on day one rather than after a week of wiring.
- Build the seams that let new services run independently of our existing monolith.
- Own the deployment story for services and web applications on Cloudflare, and the interoperability with our existing AWS and Kubernetes estate managed through Pulumi and Argo CD.
- Lead migrations of substantial codebases into the monorepo and turn each one into a repeatable recipe rather than a bespoke effort.
- Partner directly with product teams as platform customers, treating their adoption as the measure of success and their friction as your backlog.
- Raise the leverage of the whole team by encoding what you learn into tooling, generators and agent-assisted workflows, so the next migration costs less than the last.
- Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams.
ABOUT YOU
Requirements:
- BA/BS Degree or equivalent experience
- 5+ years building and operating backend services in production
- Demonstrated experience in backend service design defining service boundaries, contracts and data ownership, not only implementing within them
- Business-level fluency to read, write and speak in English
You'll thrive as a Senior Software Engineer, Developer Productivity, if you:
- Have worked inside a large, heavily-coupled codebase and found the seams: extracting or bypassing functionality incrementally, behind behaviour-preserving contracts
- Are fluent in TypeScript and Node, and comfortable with edge runtimes.
- Have hands-on experience with monorepo tooling at scale (Nx, Turborepo or similar) and understand why build-graph correctness is a product concern rather than a config detail.
- Treat migration work as engineering rather than chores: you budget for the parts that fail silently, verify generated output rather than trusting a green build, and know that bug-for-bug translation beats improvement when the goal is proving nothing changed.
- Enjoy being a platform engineer with real customers — partnering with product teams, adapting the platform to how they actually work rather than requiring them to change, and measuring yourself on their adoption.
- Are comfortable working across cloud boundaries, with a considered view on where a workload belongs and what crossing between clouds costs in latency and spend.
- Communicate decisions in writing well enough that someone can pick up your work from the ticket — and are willing to say plainly when the fast answer and the right answer diverge.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
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. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Paris; Amsterdam; Singapore; London; Lausanne
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.
ROLE SUMMARY
As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints.
This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.
Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.
WHAT YOU WILL DO
- Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale)
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …)
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
ABOUT YOU
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Hands‑on experience with PyTorch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and non‑technical stakeholders.
- High agency, low ego, and comfort in fast‑moving, under‑specified environments.
NICE TO HAVE
- Distributed training experience (FSDP, DeepSpeed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Open‑source contributions, publications, or widely used internal tooling.
- Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional
Senior Software Engineer
to join our
Engineering team
. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead technical strategy and decision-making on assigned domains
Use AI to build, optimize, and maintain software systems
Mentor and uplevel early-career engineers
Collaborate across disciplines to understand our domain and iterate on projects
Protect our users’ privacy and security through best practices
The ideal candidate has:
4+ years of software engineering experience
A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment
Demonstrated ability to build complex systems using AI coding agents (we use Claude Code)
The ability to learn quickly and mentor others
Familiarity with data security and HIPAA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $230,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Rotterdam, Netherlands
Workplace: hybrid
You will lead the Back Office & Integrations squad: the team that connects C Teleport to the systems our customers already run, from Planning, HR and Finance platforms to the AI agents that increasingly act on their behalf. The squad's mission is simple to state and hard to deliver: data moves between systems on its own, and nobody re-keys anything by hand. This is a hands-on leadership role. You set the squad's technical direction and write production code alongside your engineers. You also build the team, grow each person in it, and answer for how they perform.
Expect to spend roughly half your week in the code and half leading people.
C Teleport automates corporate travel for companies whose people are always on the move, with pragmatic engineering and machine learning doing the work that used to take a travel desk. Your squad is where that automation meets our customers' own systems. As Squad Lead you are the squad's face to the rest of the company. You work day to day with your Product Owner, who sits with you in Rotterdam, on what to build and how to ship it in increments. And you are the person other teams come to when their work depends on the integration layer, so they can trust that what you promise will land.
What you'll own
Technical leadership
Own the squad's technical direction, from design decisions through to the implementation itself.
Own the squad's delivery outcomes to ensure the team ships reliable, complete solutions and follows through to production.
Stay hands-on: contribute production code, lead reviews, and know the system deeply.
Partner with the Product Owner to shape the roadmap and break work into incremental MVPs, shaping solutions, not accepting requirements blindly.
Challenge estimates, surface risks early, safeguard production stability, and keep incidents and support tickets inside SLA.
Enforce coding standards, reduce technical debt, and evaluate new technology with the Architects Group.
People leadership
Line-manage the engineers in the squad: this is real, all-round people management, not a title.
Own hiring for the squad: define the need, interview, and make the call.
Run regular 1:1s, give direct feedback, and build each engineer's growth path.
Own performance end-to-end: recognise and stretch strong performers, and address underperformance directly, including the difficult conversations and, where it comes to it, managing someone out.
Set and hold the bar for how the squad works together, and promote a culture of "agree or disagree, but commit."
This is not…
Not a hands-off management role. You will still design, review, and write production code every week.
Not a pure IC or Tech Lead or architect role. You are accountable for people and for delivery, not only for the code. If you are looking to step back from management, or to step back from coding, this is not the role.
Not a way back into coding. If you have mostly managed people for the past year or more and your C# has gone rusty, this role will be a hard fit. Our technical interview tests current, hands-on skill.
Not a role where "leading engineers" was a title without the substance. If your team-lead experience didn't include running your own 1:1s, hiring, and personally handling underperformance, this role will feel like a bigger jump than it looks on paper.
Contract type
This role starts as a 12 months fixed-term contract, and permanent contract will be offered once the confidence of long-term collaboration is well established. If you need a permanent contract from day one, this isn't the right fit for you right now — for everyone else, it's the standard structure we use to make sure it's a genuine two-way fit before we commit long-term.
Must-haves (these are gates)
Based in the Netherlands and able to work from our Rotterdam office 3 days per week (Mondays, Tuesdays and Fridays). We can sponsor highly-skilled-migrant candidates who already live in the NL. We do not relocate candidates from outside the country.
7+ of your most recent years in software engineering with deep, current .NET / C# expertise. It needs to be your active day-to-day stack now, not a language you used earlier in your career.
2+ years of
current, full-scope
people management as a Engineering Manager, meaning you've personally run recurring 1:1s, hired, and managed underperformance through to a resolution, including an exit where needed. A lead or architect title without this substance isn't enough.
You have written and merged production C# as part of your regular job in the last 6 months.
Strong hands-on coding background, you'd rather write code than avoid it.
You use AI coding agents (e.g. Claude Code, Cursor's agent mode, or similar) as a daily driver, not just autocomplete, instead being comfortable directing agentic workflows, and ready to bring that fluency to how your team works, not only how you personally code.
Solid grasp of architectural patterns, SOLID, TDD, DDD, Event Sourcing and CQRS; practical experience with relational databases (PostgreSQL preferred) and message brokers (RabbitMQ or similar); hands-on with microservices and Docker.
Nice to have (bonus, genuinely not required)
Building and owning APIs, webhooks, or platform/integration products; connecting to enterprise finance/HR/scheduling systems; driving external partner/supplier integrations to live deployment.
Experience with AWS or Kubernetes.
Tech stack
C#, .NET, PostgreSQL, RabbitMQ, AWS; alongside Docker, Redis, Elasticsearch and other supporting services across the wider platform.
The squad
It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office. You report directly to the CTO.
What we offer
€7,000–8,000 gross per month, plus 8% holiday allowance.
A hands-on technical leadership role with significant ownership of a business-critical domain.
Hybrid working from our Rotterdam office, three days a week; close to your Product Owner and the cross-department stakeholders whose work depends on the squad, so the tightest collaboration happens in person.
Professional growth in a fast-moving company at the intersection of travel and engineering.
Hiring process
Recruiter / HR call: role, motivation, logistics, plus an interactive technical assignment.
Technical challenge / interview.
Meet the CTO.
Target: ~2–3 weeks end to end.
Pre-employment screening
If your application is successful, we may conduct a pre-employment screening through a trusted third party, in line with applicable laws — this may include employment history, education, and other relevant publicly available information to help us understand your suitability for the role.
C Teleport is an equal-opportunity employer. We assess every application on merit and handle your data in line with GDPR.
Location: Remote
Workplace: Remote
We are looking for a Senior Golang Engineer to contribute to the development of high-load, business-critical backend systems within the betting domain. This role requires strong hands-on Go expertise, a deep understanding of backend engineering principles, and the ability to work with complex distributed environments where performance, reliability, and data integrity are essential.
Responsibilities:
- Build and evolve scalable backend services in Go, focusing on system performance, stability, and maintainable engineering solutions
- Contribute to key technical decisions around application architecture, infrastructure, and the long-term evolution of backend systems
- Develop clean, well-structured, and testable code while maintaining strong documentation and engineering standards
- Participate in peer code reviews, providing technical feedback and helping maintain consistent development practices across the team
- Work with complex data flows and backend components, ensuring reliable processing and high standards of data integrity
- Collaborate with other engineers throughout the development lifecycle, contributing to technical discussions, estimation, planning, and delivery within a Scrum environment
- Take ownership of assigned development activities and independently organize day-to-day work in line with broader team priorities
Requirements:
- Strong senior-level engineering background with 7+ years in commercial software development, including 4+ recent years focused primarily on Go
- Proven track record of building backend solutions specifically for betting products — relevant industry experience is essential for this role
- Advanced knowledge of how Go works under the hood, with confidence working with concurrency, data structures, memory allocation, and garbage collection
- Solid database engineering skills, including extensive work with relational databases and the ability to troubleshoot, tune, and improve sophisticated SQL queries
- Comfortable working in Linux-based environments, with practical knowledge of containerization using Docker
- Production experience with Kafka and Kubernetes as part of modern backend infrastructure
- Quality-focused engineering approach, with the ability to design code for testability and maintain reliable unit test coverage
- Intermediate English combined with Upper-Intermediate Russian for effective day-to-day communication
Would be a plus:
- Background in financial, transactional, or similarly data-sensitive systems, where accuracy and consistency of information are business-critical
- Experience designing or contributing to distributed, microservice-based systems
- Knowledge of architectural practices such as Domain-Driven Design (DDD), Clean Architecture, or Hexagonal Architecture
- Previous hands-on work with PostgreSQL and ClickHouse
What's in it for you:
- Private health insurance and sports-related benefits
- Paid time off and maternity leave support
- Free language courses
- Professional development through upskilling opportunities, internal workshops, and participation in industry conferences
- Referral program with additional rewards
- Access to professional networking opportunities and corporate events
Location: PL
Workplace: remote
Overview:
SOFTSWISS continues to expand the team and is looking for a Senior Go Developer. We need a true, experienced and accomplished professional who shares our culture and values.
About Product:
SOFTSWISS Sportsbook
The SOFTSWISS Sportsbook is a software platform designed for launching and managing a successful online sports betting business. The Sportsbook team’s goal is to develop truly innovative software that will make the process of creating and running a bookmaker website faster and easier for our clients. We are searching for driven individuals who are passionate about what they do and are ready to work on engaging tasks and exciting projects together.
Purpose of the role:
You’ll design and build scalable backend solutions in Go, helping to shape the architecture of a high-load, business-critical system.
You’ll collaborate closely with the team, contribute to strategic technical decisions, and ensure code quality through thoughtful reviews and clean, testable implementation.
Your deep understanding of system internals, distributed architecture, and data integrity will drive reliability, performance, and long-term maintainability.
Key Responsibilities:
Collaborating within a team using the Scrum methodology and participating in planning your own workflow
Engaging in architectural, infrastructure, and other strategic decision-making processes
Conducting code reviews for other team members and documenting your own code
Required Experience:
7+ years of professional software development experience
At least 4 years of recent programming experience with Go as the primary language
Strong understanding of Go internals: data structures, multithreading, memory management, garbage collection, etc.
Experience with relational databases, including the ability to write and optimize complex SQL queries
Solid knowledge of Linux and an understanding of containerization (we use Docker)
Ability to write testable code and corresponding unit tests
Experience working with Kafka and Kubernetes
English – Intermediate
Russian – Upper-Intermediate
Nice to have:
Experience in developing applications in finance or other fields where data integrity is a key requirement
Understanding the principles of distributed applications and microservice architecture
Familiarity with one or more modern approaches to back-end application design (e.g., DDD, Clean Architecture, Hexagonal Architecture)
Experience with PostgreSQL and Clickhouse
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: United States
Workplace: Remote
We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them.
This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.
What you will be doing:
- Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win
- Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives
- Install Coder on cloud and on-prem Kubernetes or VM infrastructure
- Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals
- Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact
- Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product
- Track and report product issues and feature requests using Linear
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation
- Contribute pull requests to Coder’s documentation
What you bring:
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling
- Strong customer-facing skills that win trust with technical stakeholders
- Ability to translate technical hurdles into business value in real time
- Understand agentic AI software development use cases and advocate passionately where appropriate
- Comfortable leading architecture demos and deep-dive troubleshooting sessions
- Deep Linux fundamentals and comfort at the command line
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS, Google Cloud, or Microsoft Azure
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid grasp of networking: ingress controllers, proxies, load balancers
- Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them
- Startup-speed execution, ownership mindset, and a player-coach attitude
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Success at both high-growth startups and larger software vendors
- Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools)
- Background in CI/CD, DevOps, or developer-platform products
- Experience in platform engineering or developer platform teams
- Kubernetes, AWS, or related certifications
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: Hybrid - Riyadh
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
As a Site Reliability Engineer, you will work closely with customers as well as the engineering team on enhancing, optimizing, validating and automating our cloud-native storage platform. Your role will be a mix of DevOps and software engineering to assure that MinIo is delivering a very high quality product with high-performance, scalability and durability to enable seamless data storage and retrieval for demanding workloads for customers.
This role requires deep expertise in DevOps practices, SRE, systems programming, distributed computing, and storage architectures. You will work closely with a world-class team of engineers to push the boundaries of object storage performance and reliability.
What You Will Do:
Enhance, optimize, validate and automate core MinIO software for performance, scalability, and security.
Help building and delivering high-performance distributed storage solutions with a focus on cloud-native architectures.
Validate the MinIO Software according to customer environment and requirements, ensuring no surprises are observed at customer deployments.
Improve existing features, fix critical issues, and contribute to open-source repositories.
Collaborate with other engineers to refine architecture, APIs, and integrations.
Write efficient, well-documented, and maintainable code.
Conduct performance benchmarking and debugging of complex storage environments.
Work closely with customers to address issues, and manage expectations.
Your Skills and Experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in software engineering.
Desire and ability to directly work with customers to solve their problem with product enhancement and automation.
Experience in DevOps, GitOps, Automation and testing frameworks.
Expertise in distributed systems, networking, or high-performance computing.
Experience with cloud-native technologies (Kubernetes, containers, microservices).
Strong proficiency in Go desired (or deep experience in C/C++/Rust with a willingness to learn Go).
Deep understanding of storage systems, file systems, or databases.
Strong problem-solving skills and experience debugging complex, large-scale applications.
Contributions to open-source projects are a plus.
Ability to work in a fast-moving, collaborative environment with a strong sense of ownership.
Empathy towards the customer and ability to quickly dig in to resolve any customer issue.
Passion for innovation and staying current with technology trends.
Self-motivation and a commitment to continuous learning and adopting new tools and frameworks.
A strong sense of ownership and accountability in delivering high-quality work while directly working with customers..
A collaborative and team-oriented mindset, thriving in environments that value open communication and shared goals.
Ability to collaborate effectively with cross-functional teams, contributing to a positive and productive work environment.
Attention to detail and fine craftsmanship.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Palo Alto
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.
THE ROLE
This role focuses on building and operating the ML platform that powers large-scale training, evaluation, and batch inference at Mistral AI. You will develop the infrastructure that enables researchers and engineers to run distributed GPU workloads reliably across clusters, hardware types, and regions.
You will work across the full ML lifecycle, from workload scheduling and capacity management to platform APIs, observability, and production operations. You will take ownership of critical systems and help turn complex infrastructure into reliable, self-service capabilities.
WHAT YOU WILL DO
- Build the ML Platform: Develop services, APIs, controllers, and tooling for training, evaluation, fine-tuning, and batch inference.
- Orchestrate GPU Workloads: Build systems for queueing, admission control, quotas, priorities, preemption, and topology-aware placement.
- Manage Compute Capacity: Improve how heterogeneous GPU resources are provisioned, allocated, and utilized across clusters.
- Enable Multi-Cluster Execution: Place workloads based on capacity, data locality, hardware requirements, and organizational priorities.
- Improve Researcher Experience: Create self-service workflows that make distributed workloads easy to launch, observe, debug, and reproduce.
- Optimize Performance: Improve GPU utilization, scheduling latency, workload startup time, throughput, and infrastructure efficiency.
- Build for Reliability: Develop observability, failure recovery, capacity planning, and operational tooling for critical ML workloads.
- Operate What You Build: Participate in on-call rotations and troubleshoot issues across applications, schedulers, networking, storage, and GPU infrastructure.
WHAT WE'RE LOOKING FOR
- Have 4+ years of experience in ML infrastructure, distributed systems, Kubernetes platform engineering, or a related field.
- Are proficient in Python or Go and comfortable working with production-grade distributed systems.
- Have strong Kubernetes knowledge, including controllers, operators, CRDs, scheduling, networking, storage, and resource management.
- Understand technologies such as Kueue, Karpenter, Volcano, and Kyverno, and the problems they address in workload scheduling, provisioning, and policy enforcement.
- Understand distributed ML workloads, including training, fine-tuning, evaluation, checkpointing, and batch inference.
- Are familiar with GPU infrastructure and technologies such as PyTorch, CUDA, NCCL, and high-performance networking.
- Understand concepts such as quotas, priorities, preemption, gang scheduling, topology awareness, and workload admission.
- Can diagnose performance and reliability problems across software, orchestration, networking, storage, and hardware.
- Care about developer experience and enjoy turning complex infrastructure into simple, reliable interfaces.
- Thrive in an ambiguous, fast-moving environment shaped by frontier AI research.
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: Malta
As a
Platform Engineering Tech Lead
, you will provide hands-on technical leadership for a team responsible for building and operating cloud and platform capabilities that power our applications and customer experiences.
Your primary focus will be
AWS, cloud, edge and platform technologies
, while working closely with other Platform Engineering specialists, including our Kubernetes Tech Lead. You will help shape technical solutions, work with Architects, build POCs, review implementations and get hands-on with the technology when needed.
This is a role for someone who enjoys being close to the technology while also helping engineers solve complex problems, raising engineering standards and driving the platform forward.
A taster of what you will be involved with
Provide hands-on technical leadership
– Shape technical solutions with Architects, define technical approaches, conduct POCs and drive engineering standards across cloud, edge and platform technologies.
Build and enable the team
– Coach and unblock engineers, share knowledge and promote collaboration so that knowledge is distributed and no single person becomes a point of failure. Support technical assessments and code reviews.
Drive reliability and operational excellence
– Lead technical incident response and RCA, ensuring solutions are production-ready, resilient and have appropriate rollback strategies.
Observability as a first-class concern
– including logs, metrics, traces and SLOs.
Drive cloud and platform evolution
– Build and improve AWS-based capabilities through automation, Infrastructure as Code and modern platform engineering practices, while identifying opportunities for innovation and modernisation.
Collaborate across Platform Engineering
– Work closely with Kubernetes, Observability, Delivery, Security and Architecture teams to ensure our platform operates as a cohesive ecosystem.
What we’re looking for
Strong experience in AWS and cloud engineering in production environments.
Experience with AWS edge and networking technologies, such as CloudFront, Route 53, WAF, load balancing, CDN and edge computing.
Good working knowledge of Kubernetes and containerised platforms and the ability to work effectively alongside Kubernetes specialists.
Strong experience with Infrastructure as Code and automation, particularly Terraform and Ansible, along with modern CI/CD practices.
Comfortable remaining hands-on with code, infrastructure, configuration and troubleshooting.
Experience with code reviews, technical design discussions and POCs.
Strong understanding of observability and reliability, including logs, metrics, traces and SLOs.
Experience mentoring engineers and providing technical leadership without relying on formal management authority.
Strong communication skills and the ability to clearly explain technical decisions, trade-offs and risks.
Who We Are
Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta.
We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands.
You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers!
Product Development at Betsson Group
Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Malaga and Athens. With around 1,000 strong professionals, the Product Development organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
СтажёрNew York City, New York
New York City, New York
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ГибридParis; Amsterdam; Singapore; London; Lausanne; 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
seniorNew York City, New York
ГибридleadRotterdam, Netherlands; We do not relocate candidates from outside the country; It's a small, lean and focused team working remotely across European time zones, with you connecting it to the wider company from our Rotterdam office
УдалённоseniorГеография найма не уточнена
География найма не уточнена
УдалённоseniorPL
УдалённоseniorUnited States
Hybrid - Riyadh
ГибридPalo Alto; 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