Принять инфраструктуру от подрядчика: инвентаризация сред и компонентов, документирование, наведение порядка в доступах и секретах. Развернуть наблюдаемость: метрики, логи, трассировка, осмысленные оповещения вместо шума.
Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
As a member of the Teleport Customer Solutions Team, you will own the full post-sales lifecycle for a portfolio of strategic customers: implementation, technical support, ongoing business reviews, and identifying expansion opportunities. You will be responsible for implementing, supporting, evangelizing, and expanding Teleport at our top customers, and dedicated to proactively driving adoption so that they achieve the maximum value from all Teleport products and solutions.
This is a deeply technical role. Many of our customers run Teleport on Kubernetes, and you will be expected to operate comfortably at the cluster level: designing and deploying Teleport in customer environments, troubleshooting failing workloads, and debugging access, networking, and certificate issues alongside customer engineers.
You will work directly with customers to design solution architecture, deploy and configure Teleport hands-on, share implementation best practices, triage and debug technical issues, develop and maintain training programs, evangelize the solution to a wider customer organization, and plan and assist with enterprise-wide rollouts. You will act as a customer champion within Teleport and help prioritize product feedback by working with the Product team. As a Senior Technical Account Manager, you will be the primary lead for identifying and providing initial triage of technical blockers via shared chat, ticket, and meetings.
As our company grows and we launch new offerings, the requirements of this position may shift. You should be comfortable with change and have an interest in continually learning and advancing your skillset.
What you’ll bring
- Deep, hands-on Kubernetes experience. You have built clusters with kubeadm (not just managed services), configured RBAC and certificate-based user access, and debugged failing workloads, networking, and control-plane issues. CKA certification is strongly preferred; CKAD is a plus.
- Experience with cert-manager and TLS certificate management, Helm, and GitOps tooling (ArgoCD or Flux)
- Demonstrable experience with the following security principles and technologies: SSH, PKI, 2FA, SSO (SAML, OIDC), and RBAC
- Linux administration skills
- Hands-on experience with one of the major public cloud providers: AWS, GCP, or Azure (certifications are a plus)
- 8+ years of experience in customer-facing software onboarding, software services, solution architecting, or system administration roles
- Exceptional hands-on troubleshooting, testing, and debugging skills, with the tenacity to identify and resolve technical issues as they arise
- Outstanding soft skills and excellent verbal and written communication
- Project management experience and the ability to handle multiple clients simultaneously
What you’ll be doing
- Design solution architecture for Teleport in customer environments
- Deploy and configure Teleport in customer environments, including Kubernetes-based deployments, and communicate implementation best practices to the customer
- Act as the point person for technical issues, troubleshooting Kubernetes-based customer environments (cluster, networking, certificate, and access issues) and escalating high-complexity cases to Engineering
- Work closely with Sales and Product to identify customer needs tied to tangible upsell and cross-sell opportunities
- Plan and deliver Quarterly Business Reviews for customers, drive adoption within the customer organization, and plan and assist with enterprise-wide rollouts of Teleport
- Develop, maintain, and deliver customized training, and evangelize the solution to a wider customer organization
- Maintain strong working relationships with key client stakeholders and expand those relationships into other parts of the organization
- Document each customer’s business goals and challenges to align Teleport with the most value possible
- Serve as a subject matter expert on existing and upcoming Teleport solutions for customers and teammates, staying up to date on the latest releases
- Collaborate with Sales and Product to provide valuable feedback for product improvement
- Support our broader customer base seeking new solutions and best practice recommendations
Our interview process
Our interview process includes a hands-on technical assessment. You will build a kubeadm Kubernetes cluster, configure RBAC with certificate-based user access, deploy an application, present your design and its tradeoffs, and work through live Kubernetes troubleshooting scenarios. Candidates should be comfortable operating Kubernetes at this level without relying on managed-service abstractions. You are welcome to use AI tools for the take-home portion, with full disclosure of how they were used.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: London, England
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities.
We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years.
What you’ll be doing
You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality.
Day-to-day in this role you’ll:
Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost.
Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs.
Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads.
Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently.
Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery.
Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help.
Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general.
Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil.
Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams.
Our humble expectations
Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus.
Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation.
Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on.
A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact.
Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost.
Clear communication, and the ability to bring people together around a practical technical direction.
What we offer
Scope and influence.
Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence.
Real problems at global scale.
Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company.
Autonomy and ownership.
Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US.
Growth.
Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence.
Great people.
Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Berlin, Germany
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities.
We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years.
What you’ll be doing
You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality.
Day-to-day in this role you’ll:
Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost.
Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs.
Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads.
Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently.
Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery.
Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help.
Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general.
Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil.
Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams.
Our humble expectations
Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus.
Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation.
Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on.
A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact.
Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost.
Clear communication, and the ability to bring people together around a practical technical direction.
What we offer
Scope and influence.
Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence.
Real problems at global scale.
Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company.
Autonomy and ownership.
Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US.
Growth.
Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence.
Great people.
Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Poland; Warszawa, Польща
On behalf of
CloudTech Client #1
, SD Solutions is looking for a talented
Senior DevOps Engineer - MSP
to design, build, deploy, and maintain complex cloud environments for our customers using innovative automation tools and cutting-edge technologies.
As a Senior DevOps Engineer, you will be responsible for architecting, maintaining, and evolving AWS cloud infrastructures, implementing and optimizing monitoring and alerting, troubleshooting issues, and developing automation to improve efficiency and reliability across environments.
At AllCloud, our DevOps Engineers work with the latest and most advanced technologies. Some of the stacks we master daily for our customers include AWS, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Lambda, Python, Go, AI/ML, Big Data, IoT, and more - all while occasionally enjoying a game of 8-Ball or Nintendo Switch to keep things fun and collaborative.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Design and implement tailor-made cloud architectures based on customer needs.
Manage multiple customer environments while adhering to industry best practices.
Act as a trusted technical advisor to customers, ensuring alignment with business goals.
Deploy advanced cloud services and automation solutions.
Implement and maintain infrastructure automation and configuration management tools.
Maintain a continuous feedback loop with customers to ensure deliveries meet expectations.
Debug, troubleshoot, and resolve complex technical issues.
Design, set up, and maintain large-scale monitoring and logging solutions.
Requirements:
3+ years of hands-on experience with cloud providers (e.g., AWS, GCP).
3+ years of professional IT experience, with a strong Linux and networking background.
Proven experience in a customer-facing role.
Experience with security products (e.g., Firewalls, Web Gateways, Proxies).
Strong experience with container technologies (Kubernetes, EKS, ECS, Swarm, Docker, etc.).
Familiarity with Agile methodology.
Proficiency in scripting with at least two languages: Python, Java, Bash, or PowerShell.
Demonstrated creative troubleshooting and problem-solving skills.
Fast learner with the ability to adapt to new technologies and domains.
Strong foundations in Git and GitFlow methodologies.
Experience with CI/CD platforms (Jenkins, CircleCI, CodePipeline, etc.).
Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, CDK, Serverless
Framework).
Knowledge of serverless architectures
.
Advantages:
Experience with system monitoring platforms (Datadog, Prometheus).
Experience with centralized logging platforms (ELK / OpenSearch).
Familiarity with GitOps methodologies (ArgoCD, Flux).
Strong information security orientation.
AWS certifications (Associate, Professional, or Specialty).
Experience managing production-grade environments.
Knowledge of AWS security tools and best practices (Security Hub, AWS Config, WAF, Shield, etc.).
Familiarity with AWS Landing Zone and multi-account strategy.
CKA / CKAD certifications.
Eligible for or holding a security clearance.
About the company:
A global professional services company specializing in cloud enablement and digital transformation. An accredited partner at the highest tier with leading cloud, CRM, and data platform providers, the company helps organizations connect front and back offices through cloud adoption, data strategy, and analytics — delivering end-to-end managed services and consulting.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Barcelona, Spain
Workplace: remote
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers.
We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.
We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR.
Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5.
About the role
🤓
We're looking for a
Senior Platform Engineer
to join our Platform team and help us build the platform that lets every engineer at seQura ship safely, quickly, and on their own.
seQura is expanding into new international markets, and the platform has to grow with it without growing its cost at the same pace. At the same time, AI is changing how infrastructure is built and run. We already put AI agents to work on our everyday platform work, from reviewing infrastructure changes and explaining plans to helping engineers resolve incidents on their own. Our goal is to go much further: independent agents working across the whole scope of the platform, with engineers who decide what matters and own the outcome.
You'll work in a cloud-native AWS environment, in a regulated fintech, where security, compliance, and reliability are part of the product we offer to the rest of engineering.
How we build at seQura
🤖
AI-assisted development is how our engineers work every day. We use AI agents to think through problems, write, review and iterate on code, and we're looking for engineers who already work this way, or are actively making the shift.
What matters to us isn't whether you know the syntax and idioms of your preferred programming language or tech stack by heart. It's whether you understand the problem you're solving, can explain the business logic behind it, and own every line you ship, no matter who (or what) wrote it first.
AI helps you move faster, challenge assumptions, explore different approaches and improve your solutions. But knowing which questions to ask, making sound technical and product decisions, and taking responsibility for the outcome is always up to you.
Our technical interviews reflect this approach: you'll use your own AI tools, and we'll ask you to walk us through your solution, both the business reasoning and the code.
If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you.
About the Platform team
🧩
Team Mission
To empower engineers with secure, efficient, and compliant infrastructure, while continuously improving through automation and collaboration.
What we own
Our multi-account
AWS
foundation and the
Kubernetes (EKS)
clusters where seQura's products run
Infrastructure as Code
with Terragrunt, delivered through pull requests and Atlantis
Deployment and GitOps tooling: Helm charts, shared deploy configuration, and CI/CD pipelines
The
observability
stack used across engineering: metrics, logs, traces, and alerting
Security and compliance foundations: secrets management, access control, PCI DSS, and the controls required to operate regulated entities across multiple countries under regulations such as DORA, NIS2 and those still to come.
Internal developer tooling, including the AI agents and Claude Code plugins that engineers use to work with our platform on their own
How we work
We're enablers: internal teams are our customers, and we measure success by how much they can do without us
We're autonomous end-to-end: we code, deploy, observe, improve, and document what we build
Everything as code, everything through a pull request, everything reviewed, and every important decision written down in an ADR
Strong opinions, held weakly; collaborators over rock stars; blameless by default
We plan by quarter and choose initiatives by their impact on users and on the business
We work closely with every product engineering team, with Security, with the Data Platform team, and with Compliance.
What challenges you'll be solving 🚀
International expansion
: help seQura launch in multiple new markets, with the isolation, compliance, and reliability each one requires
AI-native platform
: move from AI that assists us to independent agents that operate across the whole scope of the platform, from infrastructure changes to support and incident response
Keeping up with open source in the AI era
: define new strategies to adopt, upgrade, and secure the open source software we depend on, now that it moves faster than ever
Scale without raising our baseline cost
: design the strategies that let the business keep growing while our base infrastructure cost stays flat
What to expect in the next 90 days
🏁
Month 1:
Learn the terrain 🧭
You'll join initiatives the team already has in motion, pairing with your teammates and shipping your first changes to production. You'll learn how we work, why we made the decisions we made, and what the rest of engineering expects from us.
By the end of the month: you've shipped to production and you know who to ask for what.
Month 2:
Own your first mission 🎯
We'll hand you an opportunity the team has already identified, and it's yours: from the technical design to running it in production. You'll keep discovering seQura along the way, and we'll be there whenever you need context.
By the end of the month: you've delivered an initiative end-to-end and you have your own opinion on where the platform should go next.
Month 3:
Shape what comes next 🚀
With more context, you'll be the one finding the opportunity. You'll talk with other teams to understand their friction, lead a cross-team initiative, and bring your own proposals to the planning of next quarter.
By the end of the month: part of next quarter's roadmap has your name on it.
What we are looking for🤝
Must have:
You've
designed and operated highly available distributed systems in production, and you've lived through what happens when they fail
: incidents, post-mortems, and the changes that made sure it didn't happen again
Proven experience
scaling infrastructure at a global scale
Strong hands-on experience with
AWS
,
Kubernetes
, and
Terraform
in production
A
product mindset
: you put users and the business at the center of your decisions, and you can explain why one initiative matters more than another
Hands-on experience working with AI agents in your daily engineering work
Agency: you don't wait for a ticket. You spot the problem, decide it's worth solving, bring people along, and own it until it runs in production
Professional proficiency in English, both written and spoken
Nice to have:
Experience in fintech, payments, or other regulated environments (PCI DSS, DORA, or similar)
Experience with Terragrunt, Atlantis, or GitOps workflows
Scripting or programming in Python, Go, or similar
Experience with Prometheus, Grafana, the Elastic stack, or Tempo
Experience building internal developer platforms or self-service tooling
Experience building your own AI agents, skills, or automations for engineering teams
Experience being part of an on-call rotation
Spanish
Tech stack
🛠️
AWS (multi-account), Kubernetes (EKS), Terragrunt, Atlantis, Helm, Jenkins, GitHub Actions, SOPS, Prometheus, Grafana, Thanos, Elastic, Tempo, Python, and AI coding agents such as Claude Code as part of our daily workflow.
What we offer 😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts
Flexible working hours.
A personal budget for professional development.
Hybrid or fully remote work.
Office workshops and meet-ups to encourage community participation and career growth.
Moreover, we have a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
Which are the next steps?
🙌
Interview with our People Team.
Technical challenge (async), solved with your own AI tools
Live session with the team, where you walk us through your decisions and your solution
Meet the Hiring Manager
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!👇
Location: Remote, Global
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. More than 9 million developers and 250,000+ customers now build on Supabase, and the majority of new databases on the platform are created by AI app builders — so the systems underneath have to stay reliable while they grow fast.
ABOUT THE ROLE
Container Engineering (ConEng) owns the internal container platform that runs Supabase's multi-tenant, multi-region services — the managed Kubernetes platform that other engineering teams build and deploy on top of. We own cluster lifecycle and cluster classes, multi-cluster and multi-region topology, capacity, scheduling, isolation and runtime safety, the higher-level platform APIs, the Kubernetes deployment contract and Argo semantics, rollout primitives, and runtime configuration and secret injection.
Your job is to make the platform itself trustworthy, observable, and cheap to operate at scale — and to raise the reliability bar for everyone who depends on it. This is not a gatekeeper role. You'll make the reliable path the easy path: building the automation and platform APIs that let product teams run safely by default, instrumenting what we operate, and making sure that when something breaks we detect it and recover fast.
The work spans three strength areas:
Tooling & ecosystem — deep knowledge of the container and orchestration landscape (Kubernetes, containerd/OCI, the CNCF ecosystem) and a clear point of view on how to compose it.
Software engineering — designing and building the platform's automation, controllers, and internal tooling as production code, including solutions that don't come pre-shaped by an existing tool.
Operational / SRE practice — the discipline (SLOs, error budgets, incident response, ORRs) that runs the platform at scale as a predictable one.
We expect you to be genuinely deep in at least one of these, and many of our strongest candidates are deep in two (usually leaning toward one). Bringing real strength across all three is rare and exceptional — and even then, no one is equally strong in all three at once, so you'd focus where you're most needed at any given time. Different profiles are welcome here; tell us which of these is your center of gravity.
WHAT YOU'LL BE RESPONSIBLE FOR
Regardless of the skill set, all team members carry a share of the team's on-call rota, responding to platform incidents and driving them to resolution and follow-up.
Platform reliability & operations
- Define SLIs/SLOs and error budgets for the container platform itself, and build error-budget policies that actually gate platform changes.
- Own the Operational Readiness Review (ORR) process for new platform capabilities and major changes.
- Design and track metrics for platform uptime, and increase observability into the platform by capturing the right metrics, logs, and traces across the platform layers.
- Drive the incident-to-improvement pipeline: facilitate blameless postmortems, connect findings to readiness gaps, spot repeat failure patterns, and push through systemic fixes.
Software engineering
- Build and maintain the platform's automation, controllers, operators, and internal tooling — writing production code and shipping it, not just wiring together existing tools.
- Design and implement the platform-side CI/CD and rollout primitives that speed up platform deployments while working within proper change and release management.
- Implement and maintain security automation for the platform: intrusion detection, automated remediation, and patch management.
- Identify and quantify operational toil, and build the automation that removes it rather than just documenting it.
- Contribute to the platform's continual testing automation — the test suites and pipelines that validate platform releases are fit for purpose before they reach tenants.
Tooling, ecosystem & architecture
- Act as a platform reliability and architecture expert — contribute to failure-mode analysis, dependency mapping, and resilience design for multi-tenant container workloads.
- Evaluate and evolve the platform's tooling ecosystem (orchestration, runtime, networking, isolation, and observability stack) with a clear, opinionated view on trade-offs.
- Improve system architecture to reduce infrastructure cost while balancing security, reliability, and performance across tenants.
- Guide teams building on the platform to design sustainable on-call practices for their own services: alert quality, escalation paths, runbook coverage, and noise reduction.
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years in platform engineering, container/Kubernetes platform operations, SRE, or production infrastructure, and have operated production systems at scale and carried on-call for them.
- Are genuinely deep in at least one — ideally two — of the three strength areas below (and tell us which is your center of gravity):
- Tooling & ecosystem — know the container/orchestration landscape well: Kubernetes, containerd and the OCI/CRI standards, and the surrounding CNCF ecosystem (e.g. Argo CD/Argo Rollouts for GitOps and progressive delivery; Cilium/eBPF networking and the Gateway API; Karpenter/KEDA-style autoscaling; and workload-isolation runtimes such as gVisor or Kata Containers). You reason about trade-offs rather than reaching for defaults.
- Software engineering — write real production code (Go and/or a comparable systems language) and can build controllers, operators, and platform APIs — stepping back to the underlying problem and building the right solution when no off-the-shelf tool fits.
- Operational / SRE practice — are fluent in SLOs, error budgets, and operational KPIs; have led incident response and blameless postmortems; and have driven down MTTD/MTTR for systems you operated.
- Have worked with large-scale multi-tenant systems and understand isolation as a spectrum — from namespaces, RBAC, network policies, and resource quotas through to stronger primitives such as virtual clusters (e.g. vCluster) or VM-class runtimes.
- Operate confidently on AWS (multiple accounts, IAM, VPC) and are comfortable with infrastructure-as-code (Pulumi preferred; Terraform/CDK also fine) and Kubernetes.
- Script and automate to eliminate toil rather than absorb it.
- Communicate clearly with both infrastructure specialists and product engineers, and thrive in async, globally distributed teams.
- Are comfortable navigating ambiguity and iterating toward better systems over time.
Nice to Have
- Experience building and operating a multi-tenant Kubernetes platform that internal teams deploy onto.
- Familiarity with policy engines (Kyverno, or OPA/Gatekeeper) and cost-attribution tooling (OpenCost/Kubecost) for per-tenant chargeback/showback.
- Experience with managed database platforms or Postgres.
- Familiarity with OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, or similar observability tooling.
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.
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Design and operate a fleet of Kubernetes (EKS) clusters across production, staging, and ephemeral environments, ensuring reliability and high availability. Evolve AWS infrastructure and network architecture (VPCs, subnets, IAM, account structure) to support scalable, multi-team workloads.
УдалённоmiddleСША; Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only); Health Savings Account contributions from Upstart for eligible plans (US only); Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
Location: Remote - Worldwide
Workplace: onsite
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Position Description:
We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations.
Responsibilities:
Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change.
Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact.
Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation.
Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE.
Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant.
Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA.
Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks.
Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner.
Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership.
Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains.
Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities.
Requirements:
8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains.
Experience defining QA strategy, standards, or large-scale transformations with measurable results.
Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals.
Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome.
Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations
Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools.
Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders
A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work.
Good spoken and written English and Russian.
Nice to have:
Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk.
Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture.
Experience with contract, performance, load, resilience, or reliability testing.
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Руководить направлением SRE - выстраивать и модернизировать процессы взаимодействия SRE с продуктами/проектным офисом/инфраструктурными и платформенными командами; Формировать и внедрять единые SRE-стандарты: мониторинг, SLO, incident management, postmortem;
УдалённоleadГеография найма не уточнена
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В объединённой компании Wildberries и Russ нужно развивать безопасность Kubernetes: внедрять политики и runtime-защиту, настраивать NetworkPolicies, управлять секретами. В задачи также входят анализ событий, архитектурные ревью и моделирование угроз, автоматизация через GitOps/CI.
Location: Москва
Разработка и поддержание в актуальном состоянии стратегической архитектуры блока технологий, затрагивающей весь ИТ-ландшафт БанкаРазработка архитектурных решений и концепций в области технической архитектуры, затрагивающей GenAI-трансформацию всего ИТ-ландшафта Банка и Экосистемы СберУчастие в разработке и реализации архитектуры ключевых стратегических решений с учетом мировых трендов развития (AI-агенты, Cloud Native, Platform Engineering и т.д.)
Обязанности
### Твои задачи:
* анализ бизнес-стратегии компании
* разработка стратегического видения и технологической стратегии
* разработка и поддержание в актуальном состоянии стратегической архитектуры
* согласование стратегической архитектуры технологий с заинтересованными сторонами
* разработка концептуальных архитектур проектов и иных инициативРазработка архитектурных стандартов, концепций и референсных архитектур
* наполнение и актуализация архитектурного каталога в зоне своей ответственности
* обеспечение актуальности и полноты архитектурного репозитория (включая описание объектов и разработку диаграмм), соблюдение КПЭ по архитектурным исключениям (технологическому долгу)
* исследование рынка новых технологий, участие в тематических конференциях, адаптация новых технологий под потребности Банка.
Требования
### Мы ожидаем, что у тебя есть:
* высшее техническое образование
* опыт работы в области разработки архитектур от 3-х лет
* понимание принципов построения Cloud-Native систем, GenAI-решений, Платформ
* понимание подхода, инструментов и практик DevOps, GitOps, DevSecOps, FinOps
* опыт разработки приложений на Python, Java построения моделей
* предпочтительно знание следующих технологий: Hadoop, Spark, DWH, СУБД (PostgreSQL), IMDG (Ignite), VectorDB, GraphDB, брокеров сообщений (MQ/Kafka), S3
* приветствуется владение одной из методологий построения корпоративной архитектуры организации (TOGAF, DoDAF, Gartner-Meta и т.д.) и практик управления IT (IT4IT, ITIL, Cobit и т.д.)
* опыт руководства проектными и продуктовыми командами.
Условия
### Работа в Сбере - это:
* гибридный формат работы, после испытательного срока
* годовой бонус и ежегодный пересмотр зарплаты
* расширенный ДМС с первого дня и льготное страхование для семьи
* корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях
* 90 дней удаленной работы из любого региона РФ
* льготная ипотека в Сбере
* подписка Прайм с возможностью совместного использования на трёх близких.
Разработка долгосрочной стратегии развития инфраструктуры БД и инструментов автоматизации, определение технологического стека, согласование с бизнес-стратегией; Участие в развитии DBaaS / Self-Service платформы;
УдалённоleadГеография найма не уточнена
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- Участи в проектировании и реализации технической архитектуры для задачи повышения уровня доступности системы (HA конфигурации для всех компонентов, паттерны отказоустойчивости, мониторинг и алертинг). - Работа с инцидентами и обращениями пользователей в качестве 3 линии поддержки, дежурства (on-call) 24/7 1 раз в месяц.
Location: Санкт-Петербург
Мы — команда DevOps-сопровождения, которая обеспечивает работу множества команд разработки и тестирования и всего их окружения. Мы не разворачиваем и не администрируем кластеры и серверы с нуля — инфраструктура (контейнерные платформы OpenShift/DropApp, серверы приложений, СУБД) приходит к нам готовой от платформенных и сервисных команд, а права на глубокое администрирование ограничены. Наша зона — конфигурация, интеграции, качество деплоя и сопровождение большого числа проектов на этой готовой платформе.
Обязанности
* Helm / Helmfile / GitOps (ядро): проектировать и сопровождать Helm-чарты и values-конфиги для множества проектов; выстраивать конфиги со сложной структурой (каскад слияния values MAIN →
→ globals), поддерживать единый стандарт деплоя на платформах OpenShift и DropApp через ArgoCD + Git
* сопровождение конфигураций: поддерживать эталонные и library-чарты, следить за консистентностью values между стендами, проводить код-ревью конфигов команд, не допускать «утечек» значений между окружениями
* разработка инструментов (по мере необходимости): писать небольшие утилиты и плагины для работы с чартами/конфигами на Go (сверка values, проверки структуры, вспомогательные CLI)
* CI/CD: сопровождать и развивать пайплайны в Jenkins (Groovy, Bash, API-интеграции) и типовые процессы сборки/публикации/деплоя
* интеграция и администрирование сервисов: сопровождать интеграции и поддержку критических сервисов — брокеров сообщений (Apache Kafka), веб-серверов (Nginx), контейнерных платформ (OpenShift, DropApp), систем управления секретами (HashiCorp Vault, PAM, Secret Management), репозиториев (Bitbucket, SberTrack, Nexus), специализированного ПО
* управление инфраструктурой и конфигурациями: автоматизировать развертывание и поддержку с помощью Groovy, Ansible, Python, Bash под Linux (Red Hat)
* базы данных: выполнять задачи по настройке и диагностике PostgreSQL в контексте поддержки приложений; понимать принципы взаимодействия приложений с Oracle/MS SQL на уровне диагностики запросов
* мониторинг и безопасность: сопровождать системы мониторинга (Grafana, Zabbix), работать с сертификатами безопасности (PKCS12, JKS, TLS/SSL, цепочки CA) при развертывании сервисов, включая ротацию
* банковские системы: работать с RLM, IDM, SberESM и смежными платформами банка — оформлять заявки, встраивать их в процессы сопровождения, автоматизировать типовые операции
* AI-помощники: развивать AI-агентов и ботов на базе GigaChat, GigaCode, DeepSeek (направление занимает часть времени, не является основным фокусом роли).
Требования
* уверенные знания шаблонизации Helm-чартов и GitOps (ArgoCD + Git); глубокое понимание конфигов со сложной структурой (каскад values, helmfile); умение сопровождать и поддерживать конфиги множества проектов в консистентном виде
* опыт работы с OpenShift (или аналогичной контейнерной платформой); готовность быстро освоить внутрибанковский аналог — DropApp
* опыт сопровождения и развития CI/CD-пайплайнов Jenkins (Groovy, Bash, Python, API-интеграции); опыт работы с типовыми процессами сборки/публикации/деплоя
* опыт работы с секретами и сертификатами (HashiCorp Vault, PAM, PKCS12, JKS, TLS/SSL, цепочки CA)
* PostgreSQL на уровне настройки/диагностики под приложения.
* Ansible, Linux (Red Hat), Bash
* понимание работы с сервисными/платформенными командами: оформление заявок, эскалация, работа в рамках ограниченных прав на кластер
* методологии и тикеты: Jira, Service Manager; коммуникабельность, внимательность в согласованиях.
Будет преимуществом:
* Go — умение писать/читать код и небольшие утилиты/плагины для работы с Helm-чартами и конфигами (Kubernetes client-go, Helm SDK)
* опыт интеграции и поддержки критических сервисов: Kafka, Nginx, Bitbucket/SberTrack/Nexus
* мониторинг (Grafana, Zabbix)
* опыт работы с банковскими системами: RLM, IDM, SberESM (и/или Sowa) — понимание процессов, интеграций, заявок на доступ
* PowerShell (Windows Server)
* AI-разработка: AI HUB, GigaChat, GigaCode, DeepSeek, Python, мультиагентная архитектура.
Условия
* команда профессионалов, готовых поддержать ваши инициативы
* комфортный современный офис
* ежегодный пересмотр зарплаты, годовой бонус
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера
* корпоративная пенсионная программа.
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorBarcelona, Spain; If you're only interested in technical challenges without engaging in the product decisions behind them, or you'd rather not work with AI, this probably isn't the right role for you