Вакансии

Location: Estonia; Finland; Greece; Latvia; Romania; Sweden Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. About the role A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products. What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure). Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong debugging, optimization, and performance-tuning skills. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to have: Kubernetes operators, Helm chart authoring, admission webhooks. Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs. Local development environment tooling (devcontainers, Tilt, Skaffold, or similar). Kubernetes or cloud-native OSS contributions. Responsibilities: Design, build, and operate the CI/CD pipelines every engineering team ships through. Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production. Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop. Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround. Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure. Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you. Tools we use daily: Programming Language: Go Cloud & Orchestration: Kubernetes, GCP, AWS, Azure Infrastructure as Code: Terraform Databases & Storage: ClickHouse, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo CI/CD & GitOps: GitLab CI, ArgoCD, Kargo What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. About the role A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products. What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure). Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong debugging, optimization, and performance-tuning skills. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to have: Kubernetes operators, Helm chart authoring, admission webhooks. Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs. Local development environment tooling (devcontainers, Tilt, Skaffold, or similar). Kubernetes or cloud-native OSS contributions. Responsibilities: Design, build, and operate the CI/CD pipelines every engineering team ships through. Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production. Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop. Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround. Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure. Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you. Tools we use daily: Programming Language: Go Cloud & Orchestration: Kubernetes, GCP, AWS, Azure Infrastructure as Code: Terraform Databases & Storage: ClickHouse, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo CI/CD & GitOps: GitLab CI, ArgoCD, Kargo What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

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: Moldova; Montenegro; Slovenia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Проводить архитектурные ревью и моделирование угроз как для текущих, так и для новых сервисов и функциональностей. Проводить анализ защищенности приложений, API и бизнес-логики.

Location: Remote; Portugal; Armenia; Serbia; Poland Workplace: Remote We are looking for a hands-on DevSecOps Engineer to join a fast-growing software development company delivering fintech and iGaming products. In this role, you will take ownership of security across cloud infrastructure, CI/CD pipelines, and development processes, helping build secure and scalable products. Responsibilities: - Drive the evolution of the company’s DevSecOps function by defining security initiatives, long-term priorities, and promoting a security-first engineering mindset - Partner with the DevOps team to improve the security and resilience of Kubernetes (EKS), Istio, Service Mesh, and related cloud-native infrastructure - Support engineering teams during service transitions by embedding security best practices into operational processes and ensuring effective knowledge sharing - Develop and maintain policy-as-code frameworks and infrastructure validation mechanisms using technologies such as OPA and other compliance automation tools - Improve the security of infrastructure provisioning and deployment workflows across Terraform, Ansible, and other Infrastructure-as-Code solutions - Integrate, maintain, and optimise security testing and scanning capabilities throughout the software development and release lifecycle - Build automation around security monitoring, compliance checks, and operational controls to increase efficiency and reduce manual effort Requirements: - Strong practical understanding of modern DevOps principles and secure CI/CD pipeline design - Hands-on experience with Kubernetes or other enterprise-grade container orchestration platforms - Proven experience working with Infrastructure-as-Code and configuration management technologies such as Terraform, Ansible, Chef, or equivalent tools - Solid background in administering production infrastructure, including web servers, databases, and supporting services - Good understanding of networking concepts, including TCP/IP, routing principles, and the OSI model - Experience securing distributed systems and microservices-based architectures - Proficiency with Git or other source code version control platforms - Practical experience securing cloud environments, preferably AWS, though experience with GCP or other major cloud providers is also valuable - Ability to assess infrastructure security posture, identify vulnerabilities, and implement appropriate remediation measures - Experience implementing identity and access management controls together with security automation practices - Hands-on knowledge of secrets management platforms (such as Vault) and Privileged Access Management (PAM) solutions - Experience integrating SAST, DAST, dependency scanning, container scanning, or similar security tooling into CI/CD workflows - Good understanding of Secure Software Development Lifecycle (SSDLC) principles and familiarity with security maturity frameworks such as OWASP SAMM v2 - English level: Upper-intermediate or higher What’s in it for you: - Fully remote working format - Competitive salary based on experience - Paid annual leave and sick leave - Opportunities for professional and career growth - Supportive environment focused on continuous development and long-term growth

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.

Глубокие знания PHP, Symfony, React и TypeScript. Опыт с современными облачными технологиями.

Location: Seoul, Korea Riot Games was established in 2006 by entrepreneurial gamers who believe that player-focused game development can result in great games. In 2009, Riot released its debut title League of Legends to critical and player acclaim. As the most played video game in the world, over 100 million play every month. Players form the foundation of our community and it’s for them that we continue to evolve and improve the League of Legends experience. We’re looking for humble but ambitious, razor-sharp professionals who can teach us a thing or two. We promise to return the favor. Like us, you take play seriously; you’re passionate about games. We embrace those who see things differently, aren’t afraid to experiment, and who have a healthy disregard for constraints. That's where you come in. As a Senior Software Engineer on Riot’s Account and Identity Management team you’ll build and operate the persistent account and identity experiences that help players understand, manage, and control their Riot accounts after sign-up. You’ll work on capabilities such as account settings, Riot ID management, account linking, privacy and communication preferences, parental controls, account recovery, and self-service workflows. You will be serving players worldwide and help evolve regional solutions into reusable global capabilities. You’ll independently drive multi-month projects from discovery and technical design through launch and production support, collaborating with engineers, product partners, Player Support, and teams across Riot. You’ll write secure, reliable, well-tested services and APIs that your team will be accountable for. You will contribute to a strong engineering culture through design reviews, documentation, and mentorship. The ideal candidate brings 3–5 years of software engineering experience or equivalent expertise, experience with backend services and distributed systems, and strong ownership, communication, and technical judgment. Experience with Java or Kotlin, cloud infrastructure, identity systems, OAuth or OpenID Connect, and web security is a plus. Responsibilities: Develop and support our workflow services used by millions of players Support our suite of mission-critical Java, Kotlin, and Node services at a globally distributed scale Partner with product owners and technical leads to build and operate features end-to-end Provide high-quality software by writing unit, functional, and integration tests Invest in team’s complete ownership of our products by participating in on-call rotation Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience 5+ years of experience in a software engineering role (i.e. software, systems, architecture) Expertise in Java, Kotlin, and some familiarity with Node.js / Typescript. Experience with the following: microservices architecture, client/service application architecture, API architecture and development Desired Qualifications: Familiarity with “Infrastructure as Code” and tooling like Terraform, Docker and Jenkins Familiarity with Cloud Platform providers like AWS or GCP Familiarity with web security concepts (OWASP security models, cookies, CORS) Familiarity with client / full-stack development Expertise operating distributed services at high scale For this role, you'll find success through craft expertise, a collaborative spirit, and choices that focus on your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position. Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming . As a Rioter in Seoul, you’ll join a tight knit group of exceptionally bright minded individuals who share our prioritization of player experience, rejection of convention, and passion for gaming. Riot Games Korea is dedicated to creating tailored player experiences that show local players they aren’t lost in translation. Don’t forget to include a resume and cover letter. We receive a lot of applications, but we’ll notice a fun, well-written intro that shows us you take play seriously.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. 本职位需在马来西亚吉隆坡（KL）办公室现场办公，欢迎愿意搬迁至吉隆坡的候选人投递 Responsibilities 1. System Reliability Ensure the stability, availability, and performance of the company's core business infrastructure across AWS and Tencent Cloud globally; accountable for production environment SLAs. Maintain stable operation and troubleshooting of the service mesh based on Kubernetes + Envoy/Istio architecture; drive gateway-layer governance standards. Define and implement SLO/SLI/Error Budget frameworks to continuously improve service reliability. Identify system bottlenecks and single points of failure; drive architectural improvements. 2. Automation & Engineering Efficiency Develop operations automation tools: capacity assessment, auto-scaling, self-healing, and change automation. Build SRE platforms: lead or contribute to building SRE platforms (capacity management, cost analysis, service health dashboards) and iterate continuously with the team. API integration: interface with monitoring systems, cloud platforms, and Kubernetes APIs to enable automated data workflows. Chaos Engineering: design and implement chaos engineering practices to proactively validate system fault tolerance. IaC & CI/CD: advance Infrastructure as Code (Terraform / Helm / GitOps) and CI/CD pipeline optimization to improve release safety and reduce manual operations. 3. Capacity Planning & Performance Optimization Establish and continuously iterate capacity assessment frameworks; develop scaling plans aligned with business growth projections. Identify performance bottlenecks; drive architectural optimization and cost efficiency (redundancy optimization, cost reduction). Participate in capacity estimation and scaling plans for major promotions and high-traffic events. Build cost-efficiency metrics; track and optimize per-unit business cost Requirements Development Skills Proficient in at least one programming language: Python / Go / Java / Node.js (Python or Go preferred). Able to independently deliver end-to-end features: from requirements analysis → design → coding → testing → deployment. Backend development experience: familiar with RESTful API design and databases (SQL/NoSQL). Strong scripting skills: able to quickly write Shell/Python scripts to solve day-to-day operations issues. SRE Fundamentals 3+ years of SRE/DevOps experience with large-scale distributed systems. Linux expertise: solid understanding of Linux internals, performance tuning, and troubleshooting. Container technologies: proficient in Docker and Kubernetes with production-level K8s management experience. Monitoring & alerting: experienced with Prometheus / Grafana / ELK; able to design monitoring metrics and alerting strategies. CI/CD: familiar with GitLab CI / Jenkins / ArgoCD with hands-on automated deployment experience. Soft Skills Data-driven mindset: make decisions backed by metrics and data. Problem-solving: quickly identify root causes and drive cross-team collaboration to resolve issues. Influence: able to evangelize SRE culture to development teams and drive reliability engineering practices (SLO, Postmortem, change management) across business teams. Ownership: take full accountability for the reliability of owned services; proactively identify and optimize issues. Fast learner: able to quickly ramp up on new technologies and tools. Nice to Have Experience building internal operations platforms from scratch, with full-stack development skills to independently deliver a complete platform. Familiarity with cloud-native technologies (Istio, Service Mesh, Operator pattern) and service governance (rate limiting, degradation, circuit breaking). Hands-on Chaos Engineering experience. Practical experience in capacity planning and cost optimization (FinOps). Operations experience in finance, trading systems, or high-concurrency scenarios, including capacity assurance for major promotions or high-traffic events. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: AU: Melbourne: (260 Burwood Rd); AU: Queensland Remote Worker; AU: New South Wales Remote Worker; AU: Sydney (45 Clarence St); AU: Brisbane (243 Edward St); AU: Victoria Remote Worker Workplace: Hybrid SENIOR ENGINEER - PLATFORM The role and its impact As a Senior Engineer in our Infrastructure team, you’ll help Xero engineers build and test software faster and with more confidence. You’ll design and build the systems that create test environments, and you’ll make sure test data is ready when teams need it. This work sits at the heart of how we ship software, and it helps set Xero up for AI transformation. You’ll work across complex platforms, including older legacy systems alongside modern technology. There will be trade-offs to weigh as you decide where the most value sits for engineering teams. Xero asks you to Go Bold in how you approach these problems, and to Go Fast without cutting corners. The team and how they connect Our Infrastructure team builds the platform foundations that Xero engineers rely on every day. Our engineers come from software, platform and infrastructure backgrounds, and we work closely with teams across Xero to understand their systems and find elegant solutions. We believe in Going Together, which means sharing knowledge openly and making sure everyone’s voice is heard. The team is currently working on / Initially, you will focus on: - Building support systems and tooling for test environments, so engineers can test changes without waiting on blockers. - Improving test data and enabling frictionless testing across engineering teams. - Working with our Golang services, alongside infrastructure built with Terraform on AWS, including Kubernetes, EC2 and Lambda. - Contributing to a longer-running initiative to shorten feedback loops and increase engineering productivity. Where and how you can work This is a permanent role, based in Melbourne, Sydney or Brisbane with a remote-first working culture. We have no set office days, so you’ll work with your manager and team to find a balance that suits how you do your best work. Once you’ve settled in, you’ll join our on-call rotation as part of supporting the systems we build. Here are some of the things we’re looking for, for this role: - Your background could be in software engineering that has moved into platform or DevOps, or in infrastructure work that understands how software is built. - Golang is our preferred language, though strong experience in Java or .NET is equally welcome. - Hands-on experience with Terraform, AWS and Kubernetes will help you hit the ground running. - A curious, problem-solving mindset and the ability to pick up unfamiliar systems quickly, including legacy ones, are key to how you’ll Go Further here. - Clear communication is second nature to you, whether you’re working in another team’s codebase or presenting to leadership. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence Nice to Have - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Singapore Why This Role Exists Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission. Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network. The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base. The Role CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core. Rapid response. When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation. Proactive engineering. When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds. Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline. What You Might Work On Rapid response: Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream. Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering. Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time. Proactive engineering: Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end. Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle. Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate. Responsibilities Rapid incident response and root cause analysis. Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends. Proactive reliability engineering. Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve. Cross-functional partnership. Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes. Technical leadership and enablement. Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness. Product and platform depth. Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains. Requirements Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments. Strong foundation in networking and security: TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching. Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP. Routing protocols: BGP, OSPF, including path selection and route propagation. Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs. VPN and encryption: IPSec, SSL/TLS tunnels, GRE. Zero Trust architecture, network segmentation, modern security models. Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing. Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil. Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices. Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers. Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents. Desired Skills & Experience SRE, DevOps, or platform engineering experience with direct customer-facing accountability. Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket). Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss. Data-at-scale analysis using SQL, PromQL, or equivalent. Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker). Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency. Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority. Experience applying AI/ML to production engineering or operational workflows. Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents. Bonus Points Active Cloudflare user who understands the platform as a practitioner. Hands-on experience with Workers, Pages, R2, D1, or other developer platform services. Cloud networking and security experience across AWS, Azure, or GCP. Web programming (HTML, JavaScript) and regular expressions. Chaos engineering or formal reliability frameworks (e.g., Google SRE principles). Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Развертыванием, настройкой и поддержкой инфраструктуры: ВМ (VMware, SberCloud) и Kubernetes-кластеров (on-prem). Сопровождением веб-окружений: поддержка и оптимизация работы сайтов и проектов на Bitrix (Nginx, PHP-FPM, кеширование, БД), включая внешние облачные панели.

Location: Albania; Azerbaijan; Georgia; Serbia; Slovenia; Poland Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Developer to join our dynamic team on a full-time basis. We are looking for a Senior/Lead Go Backend Engineer with strong Identity and Access Management (IAM) expertise to design, build, and operate secure, high-performance authentication services. The candidate should have 7+ years of backend engineering experience, including 5+ years with Go and 3–4+ years working with authentication, authorization, SSO, MFA, OAuth 2.0, OpenID Connect, JWT, and session management in production environments. Project Responsibilities: - Design, develop, and operate high-throughput, low-latency identity services: Single Sign-On (SSO), Multi-Factor Authentication (MFA), session management, and federation. - Own features end-to-end from design through production and support. -Implement and scale modern authentication and authorization protocols and token formats (OAuth 2.0, OpenID Connect, JWTs), including secure token issuance, rotation, and revocation strategies. -Write clean, concurrent, and highly performant backend services primarily in Go; design idiomatic, testable code and clear API contracts (gRPC/HTTP). - Use your DevOps experience to deploy, manage, and automate identity infrastructure (CI/CD, monitoring, and incident response). - Serve as the subject matter expert on authentication and identity: own internal security reviews, threat modeling for identity flows, and guide other teams on secure integrations with our platform. Integrate and maintain solutions with custom and standard identity providers (e.g. Keycloak and AWS Cognito), and federation patterns. - Mentor engineers, conduct design reviews, and contribute to the team's technical roadmap and security posture. Requirements 7+ years of backend engineering experience, including 5+ years with Go and 3–4+ years working with authentication, authorization, SSO, MFA, OAuth 2.0, OpenID Connect, JWT, and session management in production environments Strong production experience with Go and gRPC; building complex distributed backend systems Deep knowledge of authentication and authorization: OAuth2, OIDC, RBAC, JWT, token security, session management, cryptography Strong understanding of web security, federated identity, secure coding, and OWASP Top 10 Hands-on experience with AWS, Kubernetes, and Terraform Experience designing high-throughput, low-latency systems with a focus on security and correctness Strong communication skills; able to explain security and architecture trade-offs to technical and non-technical stakeholders Nice to have: Experience with SAML, SCIM, PKI, JWKs/JWKS endpoints, key management (KMS/HSM) and token introspection. Working knowledge of identity platforms (commercial or open source), rate limiting, abuse mitigation, and adaptive authentication. Experience with IntelicsML

Проектировать, развивать и поддерживать инфраструктуру для продуктовой разработки и эксплуатации сервисов. Обеспечивать стабильность, отказоустойчивость и производительность инфраструктуры.

-Планирование стратегии coздания и проектирование архитектуры Hadoop, Cassandra. -Описание архитектуры, расчет сайзинга, защита решений на Архитектурном комитете.