Site Reliability Engineer

🏢 Summary: The role focuses on ensuring reliability, scalability, and performance of large-scale cloud-based applications by building and maintaining resilient infrastructure. You will manage AWS cloud environments, Kubernetes clusters, and CI/CD pipelines while implementing monitoring, automation, and incident response processes. The position emphasizes Infrastructure-as-Code, observability, and continuous reliability improvements. 🗂️ Requirements: 5+ years experience in SRE, DevOps or similar role, Strong experience with AWS cloud services, Experience with Infrastructure-as-Code tools, Hands-on experience with Kubernetes, Proficiency with Docker, Experience with CI/CD pipelines, Solid knowledge of PostgreSQL or Amazon RDS, Strong SQL knowledge, Knowledge of networking concepts (VPC, DNS, troubleshooting), Strong Linux/Unix administration skills, Experience with observability tools, Experience with automation in infrastructure, Experience with incident management 📃 Skills: AWS, Terraform, Pulumi, Kubernetes, EKS, Docker, GitHub, PostgreSQL, RDS, SQL, VPC, DNS, Linux, Unix, Prometheus, Grafana, Datadog, Dynatrace, CI/CD 🏢 Description: We are looking for an experienced Site Reliability Engineer to ensure the reliability, scalability, and performance of large-scale cloud-based web applications. You will work closely with software development, cloud operations, and platform teams to build and maintain resilient infrastructure and improve system stability. Key Responsibilities: Design and maintain monitoring, alerting, and incident response systems to ensure high availability Collaborate closely with engineering, product, and architecture teams Build and manage cloud infrastructure using Infrastructure-as-Code (e.g., Terraform, Pulumi) on AWS Operate and optimize Kubernetes environments (e.g., EKS) Develop and maintain containerized applications using Docker Improve CI/CD pipelines and drive automation across deployment processes Implement and manage observability tools (logging, metrics, tracing) Participate in incident management, postmortems, and reliability improvements Support capacity planning, disaster recovery, and system scaling Contribute to security, compliance, and operational best practices Develop automation and AI-driven solutions for monitoring and incident prevention Requirements: 5+ years of experience in SRE, DevOps, or similar roles Strong experience with AWS cloud services and Infrastructure-as-Code tools Hands-on experience with Kubernetes and containerized environments Proficiency in Docker and CI/CD pipelines (e.g., GitHub Actions) Solid understanding of databases (e.g., PostgreSQL, Amazon RDS) and SQL Knowledge of networking concepts (VPC, DNS, troubleshooting tools like dig/traceroute) Strong Linux/Unix administration skills Experience with observability tools (e.g., Prometheus, Grafana, Datadog, Dynatrace) Familiarity with automation and AI-based solutions in infrastructure Strong problem-solving and incident management skills

🏢 Summary: Senior Site Reliability Engineer role focused on ensuring reliability, performance, and resilience of enterprise products by bridging infrastructure and software engineering. The position involves hands-on Java/Spring Boot code fixes, Kubernetes-based container operations, incident response, and proactive architecture improvements. The engineer drives automation, observability, and security best practices across the SDLC. 🗂️ Requirements: 5+ years experience in SRE or Platform Engineering, Strong proficiency in Java, Strong proficiency in Spring Boot, Experience with Hibernate, Experience with Jenkins, Ability to read, analyze and fix application code, Hands-on experience with Docker, Hands-on experience with Kubernetes, Deep knowledge of Linux systems, Strong understanding of networking, Experience with distributed systems, Experience with monitoring and observability tools, Bachelor’s degree in Computer Science, Systems Engineering or equivalent experience 📃 Skills: Java, Spring, Hibernate, Jenkins, Docker, Kubernetes, Linux, Networking, Prometheus, Grafana, Splunk 🏢 Description: We are looking for an experienced Senior Site Reliability Engineer to join our team and oversee the reliability, resilience, and performance of our core enterprise products. In this role, you will bridge the gap between infrastructure operations and software engineering. You won't just react to alerts - you will proactively analyze system architecture, build automation, and dive deep into the application code (Java/Spring Boot) to fix bugs and eliminate issues at their root. Responsibilities: Architecture & Reliability: Understand the end-to-end product topology from both infrastructure and application perspectives. Identify bottlenecks, scale limitations, and unstable components, driving long-term resolutions before they impact production. Incident Response & RCA: Respond to outages, provide L3 on-call technical support (on rotation), and perform blameless Root Cause Analysis (RCA) to implement permanent fixes. Hands-on Engineering: Address defects, perform code bug fixes directly in production, and recommend architectural improvements during incident analysis. Security & Vulnerability Management: Oversee vulnerability management for applications and containers, manage patching processes, ensure compliance, and monitor certificate expirations and renewals according to global best practices. SRE Advocacy & SDLC: Represent the SRE organization in design reviews, capacity planning, and operational readiness exercises. Partner closely with development teams to embed reliability best practices early in the SDLC. Automation & Mentoring: Build automation tools to reduce manual toil and improve efficiency. Spread SRE culture, create standard documentation, and provide technical mentorship to junior team members. System Health: Oversee the production environment by tracking availability, applying learnings from observability tools, and becoming a Subject Matter Expert (SME) on core issuing products. Min requirements: Experience: 5+ years of experience in Site Reliability Engineering (SRE) or Platform Engineering roles. Software Engineering: Strong proficiency in Java, Spring Boot, Hibernate , and Jenkins. Ability to read, analyze, and fix application code. Containerization: Hands-on expertise with Docker and container orchestration using Kubernetes . Infrastructure: Deep knowledge of Linux systems, networking, and distributed architectures. Observability: Strong understanding of monitoring, logging, and observability tools (e.g., Prometheus, Grafana, Splunk). Education: Bachelor’s degree in Computer Science, Systems Engineering, or equivalent practical experience. Soft Skills: Excellent problem-solving abilities and strong communication skills. Would be a plus: Infrastructure as Code & Cloud: Hands-on experience with tools like Terraform or Ansible, alongside familiarity with major public cloud providers (AWS, GCP, or Azure). Advanced Networking & Service Mesh: Knowledge of service mesh technologies (e.g., Istio, Linkerd) for traffic management, security, and observability in microservices architectures. Industry Experience: Previous background in the FinTech, payments, or banking sectors, with an understanding of high-security compliance standards (e.g., PCI-DSS). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Site Reliability Engineer role focused on leading the cloud platform layer of a large-scale enterprise migration to GCP, with full ownership of observability and FinOps capabilities. The position involves architecting cost attribution, distributed tracing, monitoring, and performance engineering solutions in a production-grade Kubernetes environment. You will work on complex distributed systems, extending multi-language codebases and managing infrastructure as code in a regulated enterprise setting. 🗂️ Requirements: 4–6 years software or DevOps engineering experience, 2–3 years hands-on cloud infrastructure management in production, Strong GCP expertise including GKE and Cloud Run, Proven experience building observability solutions with OpenTelemetry, Experience with distributed tracing and profiling in distributed systems, Advanced Python scripting for automation and tooling, Strong Terraform proficiency with multi-environment setups, Ability to read and modify Kotlin and Java codebases, Experience implementing monitoring, alerting, and SLOs for containerized/serverless services, Experience with infrastructure cost attribution and cloud billing APIs 📃 Skills: GCP, GKE, CloudRun, Kubernetes, OpenTelemetry, Terraform, Python, Kotlin, Java, FinOps, PubSub, Bigtable, Docker, SLO, Tracing 🏢 Description: We are looking for a Site Reliability Engineer to join a high-stakes global tech ecosystem and drive the delivery of a critical enterprise platform migration to the cloud. Your core mission will be to architect, build, and productionalize the observability and cost intelligence (FinOps) layer for a massive, multi-year financial platform transformation. You will take end-to-end ownership of the cloud platform layer, giving internal stakeholders full visibility into platform behavior, performance, and infrastructure spend. Working alongside a nearshore team of senior engineers, you will solve highly complex architectural challenges in a production-grade, distributed system. Responsibilities: End-to-End Infrastructure & FinOps Ownership: Architect and implement a cloud usage and cost attribution dashboard, providing detailed per-pod and per-service cost breakdown using cloud billing APIs and internal FinOps hubs. Advanced Observability & Tracing: Instrument end-to-end distributed tracing using OpenTelemetry, configuring collectors within Kubernetes environments and exporting traces to cloud monitoring systems utilizing RED metrics. Performance Engineering & Stress Testing: Write custom tooling from scratch to deliver database performance monitoring, load testing, and trend analysis for critical underlying storage layers. Monitoring & Alerting Automation: Build and deploy scalable production monitoring, custom alerting policies, and SLO tracking for containerized and serverless services. Infrastructure as Code: Independently manage, write, and apply infrastructure modifications using Terraform, working within established enterprise repository standards, modules, and environment state management. Cross-Language Codebase Extension: Read, debug, and extend existing platform code across a diverse stack including Kotlin, Java, and Python to seamlessly integrate technical metrics without disrupting business logic. Quality & Release Assurance: Implement rigorous unit testing with high code coverage for all newly developed monitoring tools to comply with strict enterprise quality gates and sign-offs. Min requirements: Experience: 4 to 6 years of professional software or DevOps engineering experience, with at least 2 to 3 years of hands-on cloud infrastructure management in production. Advanced Cloud Infrastructure: Deep operational proficiency with Google Cloud Platform (GCP), specifically with managing and configuring workload-level alerting on Google Kubernetes Engine (GKE) and Cloud Run. Observability & OpenTelemetry: Proven track record of building observability solutions in distributed systems, using OpenTelemetry (both auto and manual instrumentation) alongside distributed tracing and profiling tools. Strong Automation Scripting: Intermediate-to-advanced fluency in Python for writing custom test tooling, metrics integration scripts, and backend automation from scratch. Solid Infrastructure as Code: Strong proficiency in Terraform, including experience with multi-environment setups, workspaces, and corporate module standards. Polyglot & JVM Familiarity: Practical ability to read, understand, and modify existing backend codebases written in Kotlin and Java. Crucial Non-Technical Skills: Extreme technical autonomy to resolve blockers independently, rapid onboarding skills into large unfamiliar codebases, and fluent written English for async alignment and pull requests. Process Alignment: Ability to thrive in a highly regulated enterprise environment with strict peer reviews, robust documentation requirements, and formal deployment procedures. Would be a plus: Domain Knowledge: Previous experience working within financial services, fintech, investment banking, or other highly regulated industries. Enterprise Streaming Tools: Working knowledge of cloud messaging systems (such as Cloud Pub/Sub) utilized for inter-service communication. Advanced Storage Engines: Familiarity with high-throughput distributed database architectures, such as Google Cloud Bigtable. Systems Languages Awareness: Ability to read or debug foundational code written in low-level systems languages like Rust or C++ during multi-stack production deployments. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Site Reliability Engineer responsible for end-to-end reliability of AI-driven applications and pipelines in production environments. Hands-on role focused on diagnosing, resolving, and automating production issues while improving monitoring and CI/CD processes. Ensures high performance, reliability, and standardized telemetry across AI systems. 🗂️ Requirements: 5+ years experience as SRE, Production Engineer, or Platform Engineer, Strong incident management and root cause analysis experience, Hands-on experience with Azure DevOps, Hands-on experience with Kubernetes, Hands-on experience with Datadog, Hands-on experience with Azure, Hands-on experience with CI/CD pipelines, Experience working in production environments, Ability to build and maintain monitoring and alerting systems 📃 Skills: Azure, Kubernetes, Datadog, AzureDevOps, CICD, Grafana, AI, LLM, Monitoring, Telemetry, RCA 🏢 Description: About the Role We are looking for a Senior Site Reliability Engineer who will take end-to-end ownership of reliability for AI-driven applications and pipelines. This is a hands-on engineering role, not a coordination or ticket-driven position. The ideal candidate actively diagnoses, resolves, and automates production issues rather than only designing solutions. Requirements 5+ years as SRE / Production / Platform Engineer Strong incident management & RCA experience Hands-on with: Azure DevOps, Kubernetes, Datadog, Azure, CI/CD Proactive, ownership mindset, self-driven Experience in production environments Nice to have: AI/LLM pipelines, Grafana Responsibilities Build and maintain monitoring, alerting, dashboards Lead incident response & root cause analysis Ensure reliability and performance of AI pipelines Standardize telemetry (latency, failures, throughput) Optimize CI/CD and release quality Reduce recurring incidents with engineering teams

🏢 Summary: Hands-on Site Reliability Engineer role focused on building and scaling reliability practices across cloud and on-prem environments. The position involves improving performance, scalability, and resilience of production systems through automation, observability, and Kubernetes-based infrastructure. You will drive SRE standards and collaborate with engineering teams to enhance system stability and fault tolerance. 🗂️ Requirements: 4+ years experience in SRE, DevOps or similar roles, Strong experience with distributed systems, Strong experience with Kubernetes, Experience with AWS cloud, Hands-on automation experience with Python, Bash or Go, Solid understanding of CI/CD practices, Experience with observability and monitoring tools, Experience managing production systems 📃 Skills: Kubernetes, AWS, Python, Bash, Go, Prometheus, Grafana, CI/CD, SRE, DevOps 🏢 Description: We’re looking for a Site Reliability Engineer (SRE) to help build and scale reliability practices across our engineering organization. This is a hands-on role where you’ll work across cloud and on-prem environments, improving the performance, scalability, and resilience of critical production systems. 🔧 What you’ll be doing: • Driving SRE best practices, standards, and ways of working • Building and scaling observability & monitoring solutions (e.g. Prometheus, Grafana) • Working with Kubernetes-based infrastructure to ensure reliability and efficiency • Automating deployments, incident response, and recovery processes • Collaborating closely with engineering teams to improve system stability and fault tolerance • Contributing to a strong reliability culture (SLOs, post-mortems, continuous improvement) ✅ What we’re looking for: • 4+ years of experience in SRE / DevOps / similar roles • Strong experience with distributed systems, Kubernetes, and cloud (AWS preferred) • Hands-on approach to automation (Python, Bash, or Go) • Solid understanding of CI/CD and modern software delivery • Proactive mindset and strong ownership of production systems Name and surname*

🏢 Summary: Senior Principal Site Reliability Engineer role focused on defining and leading infrastructure and reliability strategy for an AI‑driven SaaS platform in the finance domain. The position centers on scaling, securing, and optimizing cloud‑based systems while driving automation, observability, and operational excellence. The role combines hands‑on technical leadership with strategic decision‑making in high‑growth environments. 🗂️ Requirements: 8+ years in Site Reliability Engineering or DevOps, 2+ years in Principal or Lead SRE role, Experience in infrastructure modernization and scaling in high-growth environments, Strong proficiency in Python, Deep expertise in AWS ECS and EKS, Experience designing and optimizing CI/CD pipelines, Hands-on experience with Terraform, Strong knowledge of monitoring and observability practices, Upper-Intermediate English level 📃 Skills: Python, AWS, ECS, EKS, Terraform, GitHubActions, Buildkite, CI/CD, Monitoring, Observability, Docker, Kubernetes 🏢 Description: Are you ready to lead infrastructure strategy for a cutting‑edge AI‑driven SaaS platform? We are looking for a Principal Site Reliability Engineer with a proven track record in scaling, optimizing, and securing cloud‑based systems. This senior role offers the opportunity to shape the reliability and performance of a platform used by finance teams worldwide. In this role, you will be part of a dynamic engineering environment where your expertise will directly influence product stability and growth. You will work with advanced cloud technologies, automation tools, and AI-driven solutions, contributing to projects that push the boundaries of innovation. If you are ready to take on strategic responsibility and make a tangible impact, apply now and join us in building the future of reliable, scalable systems. Customer Sigma Software is partnering with a fast‑growing AI‑driven SaaS platform serving finance and accounting teams in high‑growth businesses. The platform automates critical workflows — from billing and collections to revenue recognition and reporting, ensuring compliance and accelerating cash flow. Leveraging advanced AI, it reduces manual work, increases operational efficiency, and supports scalability for customers worldwide. Project The project focuses on building and scaling an AI-powered SaaS solution for finance automation. It integrates advanced machine learning models with robust cloud infrastructure to deliver secure, compliant, and high‑performance services. The engineering culture emphasizes automation, resilience, and operational excellence. Requirements At least 8 years of experience in Site Reliability Engineering or DevOps roles, including 2+ years in a Principal or Lead position Proven experience in infrastructure modernization and scaling initiatives for high‑growth environments Strong proficiency in Python Deep expertise in cloud platforms and container orchestration tools such as AWS ECS and EKS Solid experience in CI/CD pipeline design and optimization using tools like GitHub Actions and Buildkite Proficiency in infrastructure‑as‑code tools such as Terraform Strong knowledge of monitoring, observability, and performance optimization practices Upper-Intermediate level of spoken and written English Would be a plus Experience with monorepos (Turborepo, pnpm) Familiarity with modern TypeScript tools (swc, biome, oxc) Knowledge of NestJS, NextJS, and testing frameworks (Jest, Vitest) Personal Profile Excellent leadership, communication, and decision‑making abilities Ability to work independently and make pragmatic build‑vs‑buy decisions in fast‑paced environments Responsibilities Define and lead infrastructure and reliability strategy across the platform Design scalable, resilient systems in collaboration with engineering teams Optimize build, testing, and deployment processes for speed and stability Establish and uphold best practices for CI/CD, monitoring, and observability Lead incident response and drive continuous improvement post‑incident Automate workflows to reduce operational toil and risk Mentor engineers and foster a culture of operational excellence Make strategic build‑vs‑buy decisions balancing speed, quality, and sustainability

🏢 Summary: Senior Principal Site Reliability Engineer role leading infrastructure strategy for an AI-driven SaaS platform in the finance domain. Responsible for scaling, securing, and optimizing cloud-based systems while driving reliability, automation, and operational excellence. The position shapes platform performance and resilience in a high-growth, cloud-native environment. 🗂️ Requirements: 8+ years in Site Reliability Engineering or DevOps, 2+ years in Principal or Lead role, Experience in infrastructure modernization and scaling, Strong Python proficiency, Expertise with AWS cloud platforms, Experience with container orchestration (ECS, EKS), Experience designing and optimizing CI/CD pipelines, Hands-on experience with Terraform, Strong knowledge of monitoring and observability practices, Experience leading incident response and reliability improvements 📃 Skills: Python, AWS, ECS, EKS, Kubernetes, Terraform, GitHubActions, Buildkite, CICD, Monitoring, Observability 🏢 Description: Are you ready to lead infrastructure strategy for a cutting‑edge AI‑driven SaaS platform? We are looking for a Principal Site Reliability Engineer with a proven track record in scaling, optimizing, and securing cloud‑based systems. This senior role offers the opportunity to shape the reliability and performance of a platform used by finance teams worldwide. In this role, you will be part of a dynamic engineering environment where your expertise will directly influence product stability and growth. You will work with advanced cloud technologies, automation tools, and AI-driven solutions, contributing to projects that push the boundaries of innovation. If you are ready to take on strategic responsibility and make a tangible impact, apply now and join us in building the future of reliable, scalable systems. Customer Sigma Software is partnering with a fast‑growing AI‑driven SaaS platform serving finance and accounting teams in high‑growth businesses. The platform automates critical workflows — from billing and collections to revenue recognition and reporting, ensuring compliance and accelerating cash flow. Leveraging advanced AI, it reduces manual work, increases operational efficiency, and supports scalability for customers worldwide. Project The project focuses on building and scaling an AI-powered SaaS solution for finance automation. It integrates advanced machine learning models with robust cloud infrastructure to deliver secure, compliant, and high‑performance services. The engineering culture emphasizes automation, resilience, and operational excellence. Requirements At least 8 years of experience in Site Reliability Engineering or DevOps roles, including 2+ years in a Principal or Lead position Proven experience in infrastructure modernization and scaling initiatives for high‑growth environments Strong proficiency in Python Deep expertise in cloud platforms and container orchestration tools such as AWS ECS and EKS Solid experience in CI/CD pipeline design and optimization using tools like GitHub Actions and Buildkite Proficiency in infrastructure‑as‑code tools such as Terraform Strong knowledge of monitoring, observability, and performance optimization practices Upper-Intermediate level of spoken and written English Would be a plus Experience with monorepos (Turborepo, pnpm) Familiarity with modern TypeScript tools (swc, biome, oxc) Knowledge of NestJS, NextJS, and testing frameworks (Jest, Vitest) Personal Profile Excellent leadership, communication, and decision‑making abilities Ability to work independently and make pragmatic build‑vs‑buy decisions in fast‑paced environments Responsibilities Define and lead infrastructure and reliability strategy across the platform Design scalable, resilient systems in collaboration with engineering teams Optimize build, testing, and deployment processes for speed and stability Establish and uphold best practices for CI/CD, monitoring, and observability Lead incident response and drive continuous improvement post‑incident Automate workflows to reduce operational toil and risk Mentor engineers and foster a culture of operational excellence Make strategic build‑vs‑buy decisions balancing speed, quality, and sustainability

🏢 Summary: Principal Site Reliability Engineer role leading infrastructure strategy for an AI-driven SaaS platform in the finance domain. The position focuses on scaling, securing, and optimizing cloud-based systems while driving automation, reliability, and performance. You will shape CI/CD, observability, and infrastructure practices in a high-growth environment. 🗂️ Requirements: 8+ years in Site Reliability Engineering or DevOps, 2+ years in Principal or Lead role, Experience in infrastructure modernization and scaling, Strong proficiency in Python, Expertise in AWS cloud platforms, Experience with AWS ECS and EKS, Experience designing and optimizing CI/CD pipelines, Experience with Terraform for infrastructure-as-code, Strong knowledge of monitoring and observability practices 📃 Skills: Python, AWS, ECS, EKS, Terraform, GitHub, Buildkite, CICD, Monitoring, Observability 🏢 Description: Are you ready to lead infrastructure strategy for a cutting‑edge AI‑driven SaaS platform? We are looking for a Principal Site Reliability Engineer with a proven track record in scaling, optimizing, and securing cloud‑based systems. This senior role offers the opportunity to shape the reliability and performance of a platform used by finance teams worldwide. In this role, you will be part of a dynamic engineering environment where your expertise will directly influence product stability and growth. You will work with advanced cloud technologies, automation tools, and AI-driven solutions, contributing to projects that push the boundaries of innovation. If you are ready to take on strategic responsibility and make a tangible impact, apply now and join us in building the future of reliable, scalable systems. Customer Sigma Software is partnering with a fast‑growing AI‑driven SaaS platform serving finance and accounting teams in high‑growth businesses. The platform automates critical workflows — from billing and collections to revenue recognition and reporting, ensuring compliance and accelerating cash flow. Leveraging advanced AI, it reduces manual work, increases operational efficiency, and supports scalability for customers worldwide. Project The project focuses on building and scaling an AI-powered SaaS solution for finance automation. It integrates advanced machine learning models with robust cloud infrastructure to deliver secure, compliant, and high‑performance services. The engineering culture emphasizes automation, resilience, and operational excellence. Requirements At least 8 years of experience in Site Reliability Engineering or DevOps roles, including 2+ years in a Principal or Lead position Proven experience in infrastructure modernization and scaling initiatives for high‑growth environments Strong proficiency in Python Deep expertise in cloud platforms and container orchestration tools such as AWS ECS and EKS Solid experience in CI/CD pipeline design and optimization using tools like GitHub Actions and Buildkite Proficiency in infrastructure‑as‑code tools such as Terraform Strong knowledge of monitoring, observability, and performance optimization practices Upper-Intermediate level of spoken and written English Would be a plus: Experience with monorepos (Turborepo, pnpm) Familiarity with modern TypeScript tools (swc, biome, oxc) Knowledge of NestJS, NextJS, and testing frameworks (Jest, Vitest) Personal Profile Excellent leadership, communication, and decision‑making abilities Ability to work independently and make pragmatic build‑vs‑buy decisions in fast‑paced environments Responsibilities Define and lead infrastructure and reliability strategy across the platform Design scalable, resilient systems in collaboration with engineering teams Optimize build, testing, and deployment processes for speed and stability Establish and uphold best practices for CI/CD, monitoring, and observability Lead incident response and drive continuous improvement post‑incident Automate workflows to reduce operational toil and risk Mentor engineers and foster a culture of operational excellence Make strategic build‑vs‑buy decisions balancing speed, quality, and sustainability

🏢 Summary: The offer is for a Site Reliability Engineer in the API Operations team, responsible for monitoring, diagnosing, and resolving production incidents across Apigee API implementations. The role focuses on ensuring stability, reliability, and performance of deployed APIs through observability, automation, and close collaboration with engineering and platform teams. It involves incident management, root cause analysis, and continuous improvement of production systems. 🗂️ Requirements: 3+ years in production support, SRE, or DevOps, Experience supporting Apigee APIs, Strong knowledge of cloud infrastructure (GCP preferred), Proficiency in Python or shell scripting, Proficiency in Python and JavaScript, Experience with observability and monitoring tools, Incident management and root cause analysis experience, Bachelor’s degree in Computer Science, Engineering, or related field, English B2-C1, Czech or Polish B1-B2 📃 Skills: Apigee, GCP, Python, JavaScript, Shell, CI/CD, Monitoring, Observability, Logging, Automation, APIs 🏢 Description: Summary of This Role We are looking for a detail-oriented and technically strong Site Reliability Engineer to join our API Operations team. In this critical role, you will be responsible for monitoring, diagnosing, and resolving production incidents across our Apigee API Implementations. You’ll work closely with API engineering, Developer Services, Product Management, platform, and governance teams to ensure the stability, reliability, and performance of deployed models and agentic solutions across the enterprise. You will join a dynamic team passionate about learning, applying cutting-edge and cost effective technologies, and innovating to deliver high-quality, and highly available API solutions. What Part Will You Play? Serve as the first line of defense for production incidents, ensuring rapid triage, root cause analysis, and resolution. Monitor system health and performance of deployed APIs and integrating applications Track and investigate issues related to latency, failures, or broken integrations, escalating to the API engineering group where appropriate. Collaborate with platform engineers to implement observability, logging, and alerting best practices for API services Build diagnostic tools, runbooks, and automated workflows to improve incident response time and reduce manual intervention. Maintain knowledge bases and playbooks for repeatable troubleshooting and knowledge transfer. Partner with governance and compliance teams to ensure incidents are documented and remediated in line with internal policy. Contribute to retrospectives and continuous improvement efforts to harden production systems. What Are We Looking For in This Role? Minimum Qualifications 3+ years of experience in production support, site reliability engineering (SRE), or DevOps—preferably supporting Apigee APIs. Strong understanding of cloud infrastructure (  GCP preferred) and observability tools Proficiency in Python or shell scripting for automation and troubleshooting. Strong analytical, communication, and incident management skills. Bachelor’s degree in Computer Science, Engineering, or a related field. Proficiency in programming languages such as Python and JavaScript Excellent problem-solving and analytical skills. Excellent communication and collaboration skills. English proficiency at B2-C1 level and Czech/ Polish proficiency at B1-B2 level. Preferred Qualifications Experience with CI/CD tools and Alerts/Monitoring automation Familiarity with API integrations. What Are Our Desired Skills and Capabilities? Ability to work proactively with a high level of initiative and accuracy. Ability to manage multiple assignments effectively and meet established deadlines. Strong interpersonal skills to interact professionally with staff and stakeholders. Excellent organizational skills and attention to detail. Critical thinking ability ranging from moderately to highly complex tasks. Flexibility in adapting to changing business needs and priorities. Ability to work creatively and independently with minimal supervision. Ability to utilize experience and judgment in accomplishing goals. Experience in navigating organizational structures and collaborating across teams. What will you get from us: working in a global environment with international market-focused projects using English language on daily base private medical care onboarding training in first days of work – you will get to know our company better training for employees: with us you will develop your professional and personal potential lunch pass/Pluxee multisport cards at preferential prices possibility to join a group UNUM life insurance fresh fruits every Wednesday and delicious coffee from Praska Palarnia every

🏢 Summary: Senior DevOps / SRE role focused on ensuring reliability, scalability, security, and performance of a cloud-native AWS platform. The position centers on infrastructure automation, CI/CD, Kubernetes operations, observability, and implementing SRE best practices to support highly available production systems. You will lead incident management, optimize cloud costs, and drive continuous improvement of platform resilience. 🗂️ Requirements: 5+ years in DevOps/SRE/Cloud/Platform Engineering, Strong Linux administration and troubleshooting, Production experience with Kubernetes, Experience with CI/CD tools, Expertise in Infrastructure as Code, Hands-on experience with AWS, Strong networking fundamentals, Experience with monitoring and logging tools, Scripting skills (Bash or Python) 📃 Skills: AWS, Kubernetes, Docker, Helm, Terraform, Ansible, CloudFormation, Linux, GitLab, Jenkins, GitHub, Azure, Prometheus, Grafana, ELK, Datadog, Splunk, Bash, Python, TCP/IP, DNS 🏢 Description: We are looking for a Senior DevOps / Site Reliability Engineer (SRE) to ensure the reliability, scalability, performance, and security of our platform and cloud infrastructure. You will play a key role in building and operating cloud-native systems, improving observability, automating operations, implementing SRE best practices (SLOs/SLIs), and supporting development teams to deliver highly available services. Key Responsibilities Design, implement, and maintain highly available and scalable infrastructure on AWS. Own and improve the reliability of production systems using SRE principles (SLO, SLI, error budgets). Build and manage CI/CD pipelines to support fast and safe software delivery. Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, CloudFormation, etc. Manage and optimize container orchestration platforms (Kubernetes, Docker, Helm). Implement and maintain monitoring, logging, and alerting solutions (Prometheus, Grafana, ELK, Datadog, Splunk). Lead incident response, perform root cause analysis, and write postmortems to drive continuous improvement. Improve system performance, capacity planning, scaling strategies, and disaster recovery processes. Collaborate closely with development teams to improve deployment strategies and system resilience. Implement security best practices (IAM, secret management, vulnerability scanning, patching). Define operational standards, runbooks, documentation, and best practices for platform reliability. Participate in on-call rotation and provide senior-level support for critical production issues. Key Responsibilities (5 Main Missions) The DevOps / SRE lead will be responsible for the stability and evolution of the platform. Your role is structured around five main areas: Mission 1: AWS Infrastructure Management (Build & Run) Mission 2: CI/CD and Deployment Automation Mission 3: Monitoring, Observability, and Alerting: Global Monitoring , Log Management , Application Monitoring , Business Analytics Mission 4: Incident Management, Resilience, and Security Mission 5: FinOps and AWS Cost Optimization Key Requirements 5+ years of experience in DevOps / SRE / Cloud Infrastructure / Platform Engineering. Strong expertise in Linux systems administration and troubleshooting. Proven experience with Kubernetes in production environments. Strong experience with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, Azure DevOps). Solid knowledge of Infrastructure as Code (Terraform highly preferred). Experience with AWS cloud platforms. Strong understanding of networking fundamentals (TCP/IP, DNS, load balancing, reverse proxies). Experience with observability tools: monitoring, metrics, logging, tracing. Strong scripting skills (Bash, Python, or similar). French advanced level. Nice to Have Experience with additional cloud platforms (Azure, GCP). Strong understanding of networking fundamentals.