Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The Team:
As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The unified
AI Platform Team
builds the centralized software, operations, and governance layers that safely route users to the most cost-effective models.
The Role:
We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane.
Key Responsibilities:
Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests.
Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed.
Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation).
Write robust Go and Python code to support the continuous sync loop for our usage dashboard
and implement automated "progressive friction" mechanisms, such as alerts.
Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways.
Required Qualifications:
Strong backend programming experience, specifically in Go and/or Python.
Hands-on experience with API design, integration, and platform/cloud engineering concepts.
Familiarity with API gateways, proxy configuration, or distributed system networking.
A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling.
A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems.
The annual base salary range for this position is $130,000 to $190,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-VD1
Location: Australia
Workplace: Remote
ABOUT THE TEAM
The Release Team owns the safe, continuous delivery of ClickHouse Cloud, a managed database platform running tens of thousands of ClickHouse clusters. We are responsible for upgrading and maintaining those clusters at scale, building the internal tooling that makes it possible, and being the last line of defense when something doesn't go according to plan.
ABOUT THE ROLE
This role is an equal split between operational execution and software development. You are responsible for the operational side: coordinating and running upgrades, dealing with edge cases that don't fit the happy path, and keeping tens of thousands of clusters healthy in production. At the same time, you are building and constantly improving the systems that make the next rollout safer and more automated than the last. If you find satisfaction in both writing the playbook and executing it, including the messy parts, this role is for you.
WHAT YOU'LL DO
- Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, ensuring safety, correctness, and minimal customer impact
- Own the full release pipeline: from pre-upgrade validation and staged rollouts to post-upgrade monitoring and incident response
- Investigate and resolve production issues as part of a regular on-call rotation, including snowflake clusters and edge cases that automation can't yet handle
- Build and improve the internal tooling and automation that makes large-scale database operations reliable and repeatable
- Work closely with the core database and cloud infrastructure teams to identify operational pain points and turn them into solved problems
- Support and educate other engineering teams using our internal tools
ABOUT YOU
- 5+ years of experience operating stateful distributed systems in production, such as databases, message queues, or storage systems
- Hands-on experience running upgrades or maintenance operations on live production data stores, at scale
- Strong production debugging skills; you are comfortable digging into unfamiliar systems under pressure
- Experience with cloud infrastructure (AWS, Azure, or GCP) and Kubernetes
- Software development experience in Go (or strong experience in another language and genuine willingness to learn)
- Experience with ClickHouse preferred (as a user, operator or contributor)
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Singapore; Japan; India
Workplace: Remote
ABOUT THE TEAM
The Release Team owns the safe, continuous delivery of ClickHouse Cloud, a managed database platform running tens of thousands of ClickHouse clusters. We are responsible for upgrading and maintaining those clusters at scale, building the internal tooling that makes it possible, and being the last line of defense when something doesn't go according to plan.
ABOUT THE ROLE
This role is an equal split between operational execution and software development. You are responsible for the operational side: coordinating and running upgrades, dealing with edge cases that don't fit the happy path, and keeping tens of thousands of clusters healthy in production. At the same time, you are building and constantly improving the systems that make the next rollout safer and more automated than the last. If you find satisfaction in both writing the playbook and executing it, including the messy parts, this role is for you.
WHAT YOU'LL DO
- Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, ensuring safety, correctness, and minimal customer impact
- Own the full release pipeline: from pre-upgrade validation and staged rollouts to post-upgrade monitoring and incident response
- Investigate and resolve production issues as part of a regular on-call rotation, including snowflake clusters and edge cases that automation can't yet handle
- Build and improve the internal tooling and automation that makes large-scale database operations reliable and repeatable
- Work closely with the core database and cloud infrastructure teams to identify operational pain points and turn them into solved problems
- Support and educate other engineering teams using our internal tools
ABOUT YOU
- 5+ years of experience operating stateful distributed systems in production, such as databases, message queues, or storage systems
- Hands-on experience running upgrades or maintenance operations on live production data stores, at scale
- Strong production debugging skills; you are comfortable digging into unfamiliar systems under pressure
- Experience with cloud infrastructure (AWS, Azure, or GCP) and Kubernetes
- Software development experience in Go (or strong experience in another language and genuine willingness to learn)
- Experience with ClickHouse preferred (as a user, operator or contributor)
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
About the team & role
The
Data Platform
team builds and operates the shared infrastructure that powers how data is stored, moved, and consumed across Alpaca. Our platform supports financial transactions, customer data, API and system events, enriched datasets, and third-party sources that power critical decisions and products for internal teams and external stakeholders. We process hundreds of millions of events each day and that scale continues to grow as Alpaca serves more customers and launches new products.
As a
Senior Data Platform Engineer
, you'll design, build, and operate reliable systems across Alpaca's data platform, from distributed query engines and lakehouse storage to streaming infrastructure, governance, and data serving. You'll also work closely with our AI and Data Science teams to enable agentic workflows and machine learning capabilities. As part of a small team, you'll contribute across multiple initiatives, own projects from design through production, and help shape the future of our platform.
Our team is 100% distributed and remote.
What you’ll do
Design, build, and operate core data platform infrastructure, including distributed query engines, lakehouse storage, orchestration, and streaming pipelines.
Contribute to regional platform deployments, building scalable and repeatable infrastructure using Kubernetes and infrastructure-as-code.
Develop real-time data processing, analytics, and alerting capabilities for operational and product use cases.
Partner with AI and Data Science teams on the platform foundations for agentic workflows, evaluations, and ML lifecycle tooling.
Evolve our data catalog, governance, and access controls so data is discoverable and properly governed.
Own platform reliability through observability, on-call participation, and operational improvements while collaborating with cross-functional teams.
Must-haves
5+ years of experience in data infrastructure, platform engineering, or software engineering, with demonstrated end-to-end ownership of production systems.
Strong Python and SQL skills, with experience building reliable pipelines, services, or platform tooling.
Experience building or operating distributed data systems, such as query engines, lakehouses, or streaming platforms.
Experience operating cloud infrastructure using Kubernetes, infrastructure-as-code, and deployment automation.
Sound operational judgment, clear technical communication, and the ability to collaborate across engineering teams.
Nice to Haves:
Experience with distributed query engines such as Trino, Presto, or Spark, and open table formats such as Apache Iceberg.
Experience with streaming and real-time data infrastructure such as Kafka, Redpanda, Flink, or Debezium.
Experience with AI and agent infrastructure, including MCP servers, retrieval systems, agent observability, or LLM evaluation.
Experience supporting ML infrastructure using technologies such as MLflow, Vertex AI, or similar platforms.
Experience with real-time analytics engines such as ClickHouse, Pinot, or Druid.
Experience designing and operating infrastructure across multiple cloud regions, including workload isolation and cost-performance trade-offs.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Global Capacity Manager at Baseten, you will lead the "engine room" of the company, architecting, securing, and optimizing the global GPU fleet that powers our customers' AI workloads. You’ll own the end-to-end journey of capacity management, from securing multi-million dollar GPU clusters to building the automation that ensures 99.9% uptime across multi-cloud environments.
This role is a great fit for entrepreneurial engineers who want to bridge the gap between high-finance asset management and deep infrastructure engineering. You will act as the fleet orchestrator for the world's most advanced chips, ensuring Baseten never experiences a capacity outage while maintaining elite unit economics.
To be clear, this is a high-stakes engineering role. You will be hands-on with Kubernetes
orchestration while also leading specialized pods focused on the next generation of hardware, like NVIDIA’s Blackwell (B200) architecture.
EXAMPLE INITIATIVES
- The B200 Frontier: Architecting the infrastructure readiness and deployment strategy
for Baseten's first Blackwell GPU clusters.
Global Workload Orchestration: Building "Multi-cloud Capacity Management" systems
to move customer workloads seamlessly across regions to optimize cost and latency.
- Precision GPU Triage: Developing automated Go-based operators to identify, cordon,
and repair unhealthy H100 nodes in under an hour.
- The Supply Chain of Intelligence: Partnering with leadership to secure and reserve
dedicated capacity for Baseten’s largest enterprise customers.
RESPONSIBILITIES
- Lead Specialized Pods: Act as the lead for specific GPU pods (e.g., H100 or B200),
managing the full lifecycle of acquisition, air traffic control, and maintenance for those
assets.
- Advanced Orchestration: Execute complex workload migrations and "sticky"
deployment drains, ensuring deployment scheduling rules meet strict regional and
compliance requirements.
- Build for Scalability: Design and implement the "next version" of Baseten’s capacity
management system to handle a 10x increase in GPU volume.
Financial Modeling: Leverage your understanding of unit economics to build ROI
models for GPU spend, ensuring Baseten scales profitably.
- Cross-Team Collaboration: Partner with SRE, Infra, and FDE teams to take discrete
operational tasks off their plate and verify "last mile" follow-through on infrastructure
changes.
- Incident Response: Lead capacity-crunch response by rapidly untainting and re-
coordinating workloads during high-pressure outages.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics,
or a related field
- 5+ years of professional work experience in a high-growth environment, preferably at a
hyperscaler (GCP, AWS, Azure) or a specialized GPU provider
- Deep expertise in Kubernetes, including hands-on experience with taints, cordons, node
draining, and custom operators
- Demonstrated experience with Go or Python in a production-level environment
Strong financial literacy and the ability to model complex trade-offs between capacity
reliability and cost
- High tenacity and collaborative mindset
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure.
This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams.
We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working.
Please note: This position is open to candidates based in the United Kingdom only. Candidates based in the United States or Canada can apply to this posting:
Site Reliability Engineer, Infrastructure Platforms — AMER (Intermediate to Senior Staff)
How our SRE hiring works
Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team.
Recruiter Screen:
A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction.
Core Technical:
The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review.
Hiring Manager Interview:
A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab.
Peer Technical:
Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on.
Skip-Level Interview:
A conversation with a senior leader on values alignment, and how you'll work across teams.
After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time.
We’ll calibrate your level throughout the interview process based on the scope and impact of your experience.
Intermediate: You independently deliver meaningful reliability improvements within a defined area.
Senior: You own complex reliability work end to end and raise the effectiveness of your team.
Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse.
Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale.
What you'll do
Keep user-facing services and production systems reliable, scalable, and efficient
Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows
Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling
Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps
Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately
Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages
Take part in incident response and post-incident reviews, turning learnings into changes in automation and process
Document runbooks, architecture decisions, and reviews so your findings become repeatable practices
Take part in on-call or operational support where your team’s ownership model requires it.
What you'll bring
Experience keeping production systems reliable, combining an operations mindset with real software engineering practice
Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch
The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes
Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level
Hands-on experience with at least one major cloud provider (GCP or AWS)
Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions
Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure
Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment
A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work
Alignment with GitLab's values and a commitment to working in accordance with them
About the team
Infrastructure Platforms
is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably
GitLab.com
. The organization spans teams across
Production Engineering
,
GitLab Dedicated
,
GitLab Delivery
, and
Developer Experience
, covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering.
We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the
Infrastructure Handbook Page
.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Summary:
Location
: Amsterdam
Duration
: 3-6 months
Start date
: January 2027
Compensation
: Paid
Eligibility
: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization
: Permitted to work in the job’s location
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Your responsibilities will include
Operation:
assist in day-to-day SRE operations tasks
Project work:
execute tasks from the backlog
together or instead: work on small and well-defined SRE project from backlog
create tests for their changes/project (if applicable)
write technical documentation about their work
track and update Jira tasks according to their progress
Learning and growth:
actively study system fundamentals: Linux ( networking, cgroups, ebpf, etc.)
learn internal tools, workflows and operational standards
learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform
learn configuration management and automation basics
What we expect you to have
demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software
programming experience in any of Python, Go, C++ or Java
basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals)
familiarity with Git
basic understanding of containers, Kubernetes and Gitops approach
What we offer
Mentorship from experienced AI, ML, and cloud infrastructure professionals
Hands-on experience with real customer workloads and production systems
Opportunities for professional growth within Nebius
Opportunity to be considered for a full-time role after the Early Talent Program
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - Global
Workplace: Remote
About the company
Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place.
If you’re passionate and motivated by building modern, cloud native and cloud agnostic platforms we invite you to join us to build innovative crypto architectures and advance technologies that will accelerate the delivery of web3 innovations to our users.
Responsibilities:
- Infrastructure: You will be spearheading the planning and execution of infrastructure deployments, leveraging automation tools and best practices to guarantee a stable and scalable foundation for the platform serving our million users.
- Operations: You will be managing day-to-day operations, troubleshooting issues, and optimizing workflows to maintain high availability (HA) and meet service level objectives (SLOs) for the platform.
- Feature development: You will be owning backend features that support all our platforms (extension, mobile and desktop).
- Interfacing with users: You will be interfacing directly with end-users and developers building on Trust Wallet – supporting them and collecting feedback to inform the direction of the product.
- Team building: You will be working with the team to create and foster a culture of raising the bar with each new hire.
- AI & DevX: You will leverage AI engineering best practices to boost developer productivity and engineering velocity—standardizing AI-assisted workflows (coding, reviews, debugging, incident response), building/maintaining internal tooling and prompts/guardrails, and measuring impact through delivery and reliability metrics.
Qualifications:
- Deep experience managing and building with Cloud Platforms (AWS, Cloudflare)
- Experience with Kubernetes and adjacent technologies (Istio, Helm Charts)
- Experience with infrastructure configuration management (Terraform, Atlantis)
- Experience building CI/CD pipelines and accelerating application delivery (GitHub Actions, ArgoCD)
- Experience with production observability technologies (Prometheus, Grafana, Sentry)
- Hands on Go lang experience (Networking, HTTP, gRPC, OpenTelemetry)
- Expertise in implementing SRE principles, focusing on maintaining high availability
- Familiar with incident handling and on-call responsibilities
- Experience leveraging AI-assisted engineering tools and best practices (e.g., LLM coding assistants, AI-driven code review/testing, prompt patterns/guardrails)
- Strong security fundamentals and hands-on experience implementing cloud and Kubernetes security best practices.
ADDITIONAL INFORMATION
This is a global and fully remote role. You must have the right to work for the country you are based.
WHY WORK AT TRUST WALLET?
- Be a part of the world’s leading blockchain ecosystem that continues to grow.
- Excellent learning and career development opportunities.
- Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
- Tackle fast-paced, challenging and unique projects.
- Work in a truly global organization, with international teams and a flat organizational structure.
- Work fully remotely with flexible working hours.
- Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.
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: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An Overview of this role
We are looking for a Senior Release Engineer to help design, standardize, and operate reliable enterprise application delivery across the Enterprise Technology & AI team. This role will establish scalable CI/CD practices for business-critical platforms such as Salesforce, Zuora and other Business Systems while enabling engineering teams to ship changes safely, quickly, and with clear operational controls.
The ideal candidate combines strong release engineering and automation skills with practical experience supporting enterprise SaaS applications. You will build and maintain GitLab CI/CD or comparable CI/CD pipelines, develop reusable scripts and deployment tooling, improve release governance, and partner with application, security, compliance, and business teams across the release lifecycle. Daily use of approved AI-assisted engineering tools, including Claude, Duo Agent Platform or comparable enterprise-approved tools, is a mandatory expectation for DevOps, troubleshooting, documentation, testing, and automation activities.
What you'll do
Design, build, and maintain GitLab CI/CD or comparable CI/CD pipelines for enterprise applications, including validation, testing, packaging, deployment, promotion, rollback, and post-release verification.
Develop reusable automation using scripting languages such as Python to reduce manual release activities and improve repeatability.
Use approved AI-assisted engineering tools such as Claude or similar tools every day to accelerate pipeline development, scripting, test creation, troubleshooting, documentation, release analysis, and operational automation.
Define and implement CI/CD patterns for platforms such as
Salesforce, Zuora,
and other
Business Systems.
Establish environment and promotion strategies across development, test, staging, and production, including configuration management and deployment sequencing.
Implement quality gates, automated checks, approvals, audit trails, and policy controls appropriate for enterprise application releases.
Partner with application owners and development teams to define branching, versioning, release cadence, and rollback standards.
Improve release observability through deployment dashboards, pipeline metrics, change records, notifications, and operational reporting.
Investigate failed deployments and release issues, lead root-cause analysis, and implement durable corrective actions.
Contribute to release calendars, change planning, blackout-period coordination, and risk-based release decision-making.
Build documentation, runbooks, reusable templates, and enablement materials so teams can adopt consistent delivery practices.
Coach engineers and application teams on GitLab CI/CD or comparable CI/CD tools, release automation, trunk/branching strategies, testing, and operational readiness.
Collaborate with security, compliance, architecture, and enterprise application stakeholders to meet control requirements without creating unnecessary delivery friction.
What you'll bring
Bachelor’s degree in Computer Science,Information Systems, or equivalent practical experience.
7+ years of experience in release engineering, DevOps or a related discipline.
Experience in Release & deployments for enterprise SaaS applications such as
Salesforce, Zuora or Business Systems.
Strong hands-on experience designing and operating GitLab CI/CD or comparable CI/CD pipelines in production environments.
Proficiency in at least one scripting language, such as Python, with the ability to write maintainable automation and integrations.
Mandatory hands-on experience using AI-assisted development and automation tools such as Claude or comparable enterprise-approved tools as part of day-to-day DevOps and release engineering work.
Experience with source control, branching and merging strategies, artifact management, automated testing, deployment orchestration, and rollback practices.
Working knowledge of REST APIs, webhooks, JSON, authentication patterns, and integration troubleshooting.
Experience managing releases across multiple environments with strong attention to configuration, dependencies, access controls, and auditability.
Demonstrated ability to troubleshoot pipeline failures, deployment issues, integration defects, and environment inconsistencies.
Strong communication and collaboration skills, with the ability to work effectively across engineering, business, security, compliance, and operations teams.
Enterprise application releases become more predictable, repeatable, and transparent.
Manual deployment effort and avoidable release errors decrease through automation and standardization.
About the team
ETA teams adopt reusable GitLab CI/CD or comparable CI/CD patterns for Salesforce, Zuora, and other enterprise platforms.Release quality improves through automated validation, testing, policy checks, and post-deployment verification. Deployment, change, and compliance evidence is available through reliable pipeline records and operational reporting. Application teams can move faster while maintaining appropriate controls for business-critical systems. AI-assisted DevOps adoption measurably improves engineering throughput, troubleshooting speed, automation coverage, and documentation quality without reducing delivery controls.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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: 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
Location: Москва
Наша команда работает над инфраструктурным развитием Сбера. Мы формируем готовые инфраструктурные решения, работаем с системами хранения данных, серверными мощностями, виртуальными машинами и системным ПО для них. Наша платформа основана на базе OpenSource продуктов, управляет вычислительными ресурсами OpenStack/VMware и дает возможность получать готовый k8s за несколько минут по моделям IaaS и PaaS нашим клиентам.
Обязанности
### **Задачи:**
* администрировать платформы контейнеризации Банка по ITIL: управление конфигурацией, доступами и операционными мощностями
* исполнять релизный цикл ПО Частного облака: сопровождение тестирования, вывод в промышленную эксплуатацию и автоматизация управления жизненным циклом
* обеспечивать отказоустойчивость платформы как SRE: выполнение регламентных работ для предотвращения деградации сервисов и работа с инцидентами
* автоматизировать процессы сопровождения облачной платформы и обработки запросов клиентов
* взаимодействовать со смежными подразделениями и разработчиками через систему багтрекинга для решения дефектов и привлечения расширенных компетенций
* участвовать в проектах развития облачной инфраструктуры Банка.
* вести техническую документацию.
Требования
### **Мы ждем от тебя:**
* практические знания Linux, Kubernetes на уровне администратора
* опыт работы с системами мониторинга Zabbix, Grafana, Prometheus, Victoria Metrics и настройка Dashboard
* понимание принципов IaaS, PaaS, IaaC и опыт использования автоматизации развертывания инфраструктуры (Helm, Ansible)
* знание принципов software development lifecycle management, понимание процессов CI/CD и Agile (опыт работы в части Ops DevSecOps)
* опыт применения принципов ITIL на практике, умение работать в Jira и Confluence
* навыки чтения кода на Python для автоматизации задач администрирования и знание SQL-языка запросов
* навыки промпт-инжиниринга и опыт работы с AI-ассистентами, готовность адаптироваться к корпоративным AI-инструментам.
Будет плюсом:
* опыт работы c GPU, MIG партициями, Time Slicing, InfiniBand, RoCE
* знакомство с HP Service Manager
* знание и опыт работы c платформами виртуализации (VMware, OpenStack и другие)
* знание PROMQL-языка запросов
* опыт работы в командах прикладной поддержки.
Условия
### **Мы предлагаем:**
* комфортный современный офис рядом с м. Кожуховская
* офисный формат работы
* ежегодный пересмотр зарплаты и годовая премия
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there.
You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room.
You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage.
WHAT YOU'LL BE RESPONSIBLE FOR
- Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families
- Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off
- Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity
- Extend our infrastructure as code for capacity-relevant provisioning
- Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency
- Build and tune capacity alerting so headroom, quota, and reservation issues surface months out rather than at the moment of impact
- Support the demand gate — helping intake large customer commitments, launches, migrations, and new regions so they reach the plan before they reach the fleet
- Contribute to mitigation projects: right-sizing, instance-family migrations, autoscaling improvements, workload consolidation
- Help drive down compute cost per database through right-sizing, placement, and commitment coverage work
- Participate in capacity incident response and post-incident follow-through
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years across infrastructure engineering, SRE, platform, or capacity engineering, ideally at SaaS or cloud infrastructure scale
- Have production software engineering experience — you've owned and operated a service, not just a notebook. Comfortable in modern languages like TypeScript, Python, and Go
- Are comfortable working against forecasts and assumptions that are incomplete, and can revise your work as those assumptions change
- Have experience with Infrastructure as Code (Pulumi or Terraform)
- Have built or maintained observability for systems you own — metrics that answer real questions and alerting people trust (Prometheus/Grafana, CloudWatch, or similar);
- Have solid working knowledge of AWS EC2: instance families and generations, purchase options, capacity reservations, and quota mechanics
- Have some financial fluency — you understand reservation economics and the basic tradeoffs between coverage, utilization, and cost
- Communicate clearly across audiences, from engineers to finance stakeholders
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Ottawa; Canada
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.
We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.
Location: Ottawa, 20-40% travel anticipated.
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. If you are ineligible for clearance there are other positions on our careers site that do not have this requirement.
More information about Canadian Security Clearance can be found here https://www.canada.ca/en/public-services-procurement/services/industrial-security/security-requirements-contracting/personnel-security-screening/processes/security-clearance-request.html.
In this role, you will:
- Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
- Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
- Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
- Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
You may be a good fit if:
- You have experience with and enjoy working directly with customers
- You have experience deploying enterprise software in private/hybrid cloud environments
- You have proven experience administering production Kubernetes clusters and expertise with Helm
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
- You excel in fast-paced environments and can execute while priorities and objectives are a moving target
- Familiarity with Canadian public sector security and compliance requirements (e.g., data sovereignty, access controls).
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Remote or Mississauga
Workplace: hybrid
About the Role:
As a Junior Site Reliability Engineer, you will learn how modern software systems are built, operated, and improved in production.
You will work alongside experienced SREs who directly operate a small number of critical production services while also helping engineering teams improve reliability, observability, automation, and operational excellence.
This role is designed for engineers who enjoy software development, automation, troubleshooting, and understanding how complex distributed systems behave under real-world conditions.
You will gain hands on experience building and using AI powered operational tooling that helps engineers investigate incidents, improve observability, automate repetitive tasks, and eliminate operational toil.
Key Responsibilities:
Production Engineering
Support the operation of critical services owned by the SRE team.
Assist in monitoring service health, availability, and performance.
Participate in incident response activities under mentorship.
Learn on-call practices and production operations.
Assist with deployment validation and operational readiness activities.
Reliability Engineering & Observability
Support implementation of monitoring, alerting, dashboards, and observability improvements.
Learn how logs, metrics, traces, and events are used to diagnose production environments.
Help identify monitoring gaps and areas for improved visibility.
Participate in post incident reviews and reliability improvement initiatives.
Develop foundational understanding of SLIs, SLOs, and Error Budgets.
Automation & AI Operations
Develop scripts and automation to eliminate repetitive operational work.
Contribute to internally developed AI powered operational tools.
Learn how AI can accelerate troubleshooting and root cause analysis.
Support development of AI assisted runbooks and operational workflows.
Help identify opportunities to reduce toil through software engineering and automation.
Engineering Enablement
Partner with development teams to better understand production systems.
Assist teams in adopting reliability and observability best practices.
Support operational readiness reviews.
Learn how reliability influences software design and architecture decisions.
Required Skills and Qualifications:
0-2 years of experience through employment, internship, or co-op programs.
Degree or diploma in Computer Science, Software Engineering, or equivalent experience.
Basic programming or scripting experience.
Strong problem solving skills.
Curiosity and desire to learn complex systems.
Effective communication and teamwork skills.
Preferred Qualifications:
Exposure to Azure cloud services.
Exposure to Kubernetes or containerized applications.
Familiarity with observability platforms such as Datadog, AppDynamics, Grafana, Prometheus, or ELK.
Interest in AI, automation, and distributed systems.
Canada: At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $70,000 -$80,000 and fulltime benefits.
Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: San Francisco, CA
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience.
The Ads Reliability team partners closely with Ads Engineering to improve reliability, scalability, operational excellence, and developer productivity across Reddit’s advertising ecosystem. We help build and operate highly available services that drive revenue and maintain advertiser trust. We’re looking for a Senior Site Reliability Engineer to build, operate, and scale the critical systems behind Reddit Ads.
What you’ll do:
Partner with Ads Engineering teams to improve reliability, scalability, and operational excellence of ad-serving, auction, targeting, measurement, and billing systems.
Design, build, and maintain infrastructure, tooling, and automation that improve service reliability and engineering productivity.
Improve observability through monitoring, alerting, tracing, logging, and dashboards.
Participate in on-call rotations and lead incident response efforts for critical production systems.
Run root cause analysis and drive corrective actions following incidents.
Collaborate with software engineers throughout the service lifecycle, from design reviews through production operations.
Drive adoption of SRE best practices including SLIs, SLOs, error budgets, capacity planning, and operational readiness reviews.
Reduce operational toil through automation and self-service tooling.
Help define and measure advertiser-critical user journeys such as campaign creation, ad delivery, reporting, and billing.
Scale Ads systems to support continued traffic growth, increased advertiser demand, and evolving business requirements.
What We’re Looking For
5+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.
Strong experience supporting high traffic, user facing production environments.
Strong cross-functional collaborations skills to lead and influence operational excellence.
Good understanding of modern distributed systems, scale engineering, and cloud-native architectures.
Strong software engineering skills in languages like general-purpose backend languages like Go.
Demonstrated ability to troubleshoot complex issues across applications, infrastructure, networking, and services.
Experience with observability platforms, monitoring systems, alerting, and incident response.
Experience driving automation and operational improvements.
Benefits:
Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
УдалённоAustralia
УдалённоSingapore; Japan; India
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorПротиворечивые условия: Please note: This position is open to candidates based in the United Kingdom only; Candidates based in the United States or Canada can apply to this posting:
Amsterdam, Netherlands
УдалённоseniorМожно работать из любой страны
seniorNew York, NY; Pittsburgh, PA
seniorBangalore, India
Hybrid - Riyadh
leadMalta
Москва
УдалённоМожно работать из любой страны
ГибридOttawa; Canada; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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