Staff Software Engineer - CI/CD & Release Engineering

🏢 Summary: Senior DevOps Engineer (Node Operations) responsible for ensuring reliability, security, and automation of Hedera consensus node environments across testnet and preproduction networks. The role focuses on infrastructure automation, Infrastructure-as-Code on GCP, and improving release and operational processes for a globally distributed system. It includes operating production-grade distributed systems and driving incident response and reliability improvements. 🗂️ Requirements: Strong Linux administration in production environments, Advanced networking troubleshooting skills, Experience with Terraform for Infrastructure-as-Code, Experience with Ansible for configuration management, Experience with CI/CD pipeline automation (e.g., Jenkins), Experience operating distributed systems at scale, Hands-on experience with GCP infrastructure, Knowledge of Kubernetes fundamentals, Experience in incident response and RCA, Ability to automate operational workflows 📃 Skills: Terraform, GCP, Ansible, Jenkins, Linux, Networking, Kubernetes, CICD, IaC, DistributedSystems, IncidentResponse, RCA, Automation 🏢 Description: About Hashgraph: Hashgraph is a fast-growing software company committed to supporting, developing and servicing Hedera, an open source, proof-of-stake platform. Hedera is EVM-compatible and has been specifically built to meet the needs of enterprise and web3 applications, which require speed, security, stability and sustainability. Hedera's public network is governed by industry-leading organizations, spanning 11 sectors and 14 regions who oversee the development and direction of the decentralized platform.The role: We are hiring a Senior DevOps Engineer (Node Operations) to ensure the reliability, security, and operational excellence of Hedera consensus node environments. This role exists to reduce operational toil, strengthen infrastructure automation, and improve release and preproduction readiness across a globally distributed network. Without this role, we risk increased availability incidents, slower recovery times, and delays in delivering against the product roadmap. In this role, you will: Operate and improve Hedera consensus node environments across testnet, previewnet, and preproduction Design and implement automation-first workflows for release and preproduction environments Build and maintain Infrastructure-as-Code (Terraform) on GCP Improve change management, release safety, and operational predictability Participate in on-call rotation, incident response, and RCA, driving corrective actions into automation Partner with internal engineering teams and external stakeholders, including Hedera Governing Council members, to support operational requirements What success looks like in 6-12 months: Operational toil is significantly reduced through durable automation and standardization Node environments are more reliable, with fewer incidents and faster recovery times Release and preproduction workflows are predictable, repeatable, and automated Infrastructure changes are consistent, testable, and auditable through IaC best practices What you bring: Core capabilities: Strong systems reliability mindset with experience in incident response and RCA Proven ability to automate operational workflows and reduce manual toil Clear communicator with the ability to work across engineering, security, and external partners Deep ownership mentality with a bias toward preventative engineering over reactive fixes Strong Linux and networking troubleshooting in production environments Functional expertise: Infrastructure-as-Code with Terraform (module design, state management) Configuration management with Ansible CI/CD automation (Jenkins or equivalent pipeline tooling) Experience operating distributed systems or production infrastructure at scale Familiarity with Kubernetes fundamentals Nice to haves: Observability stacks (e.g., Grafana, Loki, Tempo, Mimir) Programming/scripting (Go, Python, Bash) GitHub/GitHub Actions experience

🏢 Summary: Senior Site Reliability Engineer (Azure) role focused on designing and building secure, scalable Azure infrastructure for a production-grade distributed ledger platform. The position centers on infrastructure as code, automation, and high-availability architecture to support enterprise deployments. You will ensure reliability, scalability, and operational excellence for customer-facing environments. 🗂️ Requirements: Proven experience designing and operating production-grade systems on Azure, Strong hands-on experience with Terraform for infrastructure as code, Programming experience in Go or Python, Experience with distributed systems or high-availability architectures, Experience building greenfield infrastructure environments, Experience with CI/CD and infrastructure automation tooling, Ability to translate requirements into technical architecture and implementation, Experience supporting production environments and incident response 📃 Skills: Azure, Terraform, Go, Python, DistributedSystems, HighAvailability, CI/CD, Networking, Compute, Identity, Security, Storage, Automation, APIs, IncidentResponse, Infrastructure 🏢 Description: About Hashgraph: Hashgraph is a fast-growing software company committed to supporting, developing and servicing Hedera, an open source, proof-of-stake platform. Hedera is EVM-compatible and has been specifically built to meet the needs of enterprise and web3 applications, which require speed, security, stability and sustainability. Hedera's public network is governed by industry-leading organizations, spanning 11 sectors and 14 regions who oversee the development and direction of the decentralized platform.The role:We are hiring a Senior Site Reliability Engineer (Azure) to build and scale the Azure infrastructure foundation for HashSphere, a new private DLT network harnessing Hedera's institutional grade technology, being built by a passionate team of industry leaders.This role exists to ensure that our platform can operate as a secure, scalable, and production-ready system in Azure, supporting complex enterprise use cases and high reliability expectations.The impact you'll have: In this role, you will: Design and build secure, scalable Azure infrastructure from first principles for a production-grade distributed system Develop and own Terraform-based infrastructure as code, enabling repeatable and automated deployments Translate product and customer requirements into technical architecture and execution plans Build and enhance platform services, APIs, and integrations that extend HashSphere capabilities Partner across engineering, security, and product teams to deliver enterprise-ready infrastructure solutions Contribute to operational excellence, including reliability, observability, and incident response Support customer deployments and production environments through Tier 2 infrastructure support What success looks like in 6-12 months: Azure is a production-ready deployment environment for HashSphere Customer deployments are repeatable, scalable, and secure Azure achieves feature parity with other supported cloud environments What you bring: Core capabilities: Proven experience designing and building production-grade systems on Azure Ability to take ambiguous requirements to structured technical solutions to delivered systems Strong technical communication skills across engineering and non-technical stakeholders High ownership mindset with a bias for action and accountability Collaborative approach with a focus on building durable, scalable solutions Functional expertise: Azure cloud services (networking, compute, identity, security, storage) Terraform (infrastructure as code at production scale) Programming experience in Go and/or Python Experience building greenfield infrastructure environments Distributed systems, high-availability architectures, or platform engineering CI/CD and automation tooling for infrastructure lifecycle management Nice to haves: Kubernetes and container orchestration Observability tooling (Prometheus, Grafana) Workflow/orchestration platforms (Argo, Spacelift, or similar)

🏢 Summary: Senior Software Engineer role focused on building and evolving a graph-powered analytics platform for mission-critical intelligence systems. The position involves designing secure, scalable APIs, orchestrating graph-based workflows, and contributing to architecture and technical direction in a remote-first environment. The role emphasizes backend excellence, performance optimization, and secure software design at scale. 🗂️ Requirements: 8+ years of backend development experience, Strong proficiency in Java, Experience with Spring or similar frameworks, Experience building secure, scalable APIs, Knowledge of Clean Architecture, DDD, and TDD, Advanced debugging and profiling skills, Experience designing relational data models (PostgreSQL), Experience with graph databases (e.g., Neo4j), Experience with CI/CD pipelines and automated deployments, Experience with containerization using Docker, Knowledge of secure software design and OWASP principles 📃 Skills: Java, Spring, PostgreSQL, Neo4j, Docker, CI/CD, OWASP, DDD, TDD, CleanArchitecture, APIs 🏢 Description: Job Location: Open to candidates from anywhere in the EU and UK Flexibility: Option to work completelely remotely Keywords: Java, Spring, CI/CD, Graph databases, PostgreSQL, API Design Why apply? Product Engineering at GraphAware offers a unique opportunity to build real-world intelligence systems that matter. Build with purpose: Your code will help law enforcement and analysts save lives and protect communities through better data insight. Innovative tech: Work with knowledge graphs, workflow engines, LLMs, and graph-native UIs pushing the boundaries of data analytics. Shape the future: Contribute to product direction and technical vision alongside a senior engineering team. True autonomy: Own your work, from ideation to deployment, in a remote-first team. Global mindset: Collaborate with a world-class team of engineers, data scientists, and product thinkers across Europe and beyond. Growth without bureaucracy: Develop your skills in a non-micromanaged, excellence-driven environment. What you will be doing As a Senior Software Engineer, you will shape the core intelligence of GraphAware Hume, our graph-powered analytics platform. Your responsibilities will include: Building APIs for intuitive user interaction with complex data Designing secure, scalable access control systems for mission-critical environments Orchestrating workflows to automate graph analytics, inference, and real-time insights Optimising application performance and collaborating with other engineers to ensure seamless user experiences Contributing to architecture and technical design with the team What you must know already and be excited to grow further Proven experience in backend systems (8+ years) with exposure to large-scale, complex applications and cross-functional teams Fluency in Java , with a deep understanding of modern software engineering principles, including: Clean Architecture, Domain-Driven Design (DDD), and Test-Driven Development (TDD) Advanced debugging and profiling techniques, Writing composable, maintainable, and testable code Spring or similar frameworks with emphasis on building secure, modular, and scalable APIs Experience designing data models , both relational (e.g., PostgreSQL) and ideally graph-based (Neo4j or similar) Working knowledge of modern CI/CD pipelines, containerisation (Docker), and automated deployment workflows Strong security mindset , with practical knowledge of secure software design and common vulnerabilities (e.g., OWASP) Comfortable with remote team collaboration , i.e. tools and practices for asynchronous communication Bonus points for familiarity with: Graph technologies: Cypher, Neo4j, knowledge graph Event-driven architectures, Kafka, or distributed systems Cloud-native development, observability, and performance tuning Experience working with LLMs or integrating AI/ML into production systems What we offer Remote-first, results-oriented culture: Thrive in an environment where autonomy is balanced with accountability, and problem-solving is prioritised over rigid processes True flexibility: Work from anywhere in Europe with hours that suit your life Knowledge growth: Learn through challenging projects and peer collaboration Global connections: Build relationships through regular international team meetups Competitive compensation: Enjoy regular salary reviews that recognise your evolving value GraphAware’s values Ownership: We are proud of the work we do and we take responsibility. Excellence: We always look at where we are and how we can get better. Customers: We want our customers to always come back. Graphs: Passion for graphs is what distinguishes us from the rest. Teamwork: In times of need, we help each other out. Ready to make an impact? Join GraphAware and be part of something truly transformative. Apply now and help shape the future of graph analytics!

🏢 Summary: The offer is for a Platform Engineer responsible for building and evolving enterprise-grade DevOps platforms that enable scalable CI/CD, GitHub-based workflows, and AI-driven automation across a multi-cloud environment. The role focuses on improving developer productivity, delivery speed, and system reliability by standardizing and modernizing SDLC processes. You will design reusable platform components and migrate legacy CI/CD systems to modern solutions. 🗂️ Requirements: 5+ years experience in software engineering, DevOps, infrastructure, or platform engineering, Strong programming skills in Python or Groovy, Deep knowledge of CI/CD systems and end-to-end pipeline design, Advanced knowledge of Git and GitHub including GitHub Actions and repository management, Experience designing and supporting reusable automation components, Experience refactoring and migrating legacy CI/CD pipelines, Hands-on experience with Azure, Experience with containerization and orchestration, Experience with Infrastructure as Code tools, Ability to work in hybrid model with on-site presence once per week 📃 Skills: Python, Groovy, CI/CD, Git, GitHub, GitHubActions, Jenkins, Groovy, Azure, AWS, GCP, Docker, Kubernetes, Terraform 🏢 Description: We are looking for an accomplished Platform Engineer to join a highly skilled team building mission‑critical systems in a fast‑growing environment. This role focuses on empowering R&D teams by creating scalable, platform‑centric CI/CD solutions , modern GitHub‑based workflows , and intelligent automation across the Software Delivery Life Cycle (SDLC) . You will be responsible for designing and evolving internal DevOps platforms that significantly improve developer productivity, delivery speed, system reliability, and cost efficiency. Working closely with architects, Product DevOps teams, and engineering groups, you will help drive a shift toward standardized, reusable, and AI‑assisted DevOps capabilities within a complex, multi‑cloud ecosystem. Key Responsibilities Architect and implement enterprise‑grade DevOps platforms supporting multiple development teams and repositories Build, scale, and maintain CI/CD workflows using GitHub Actions and modern DevOps tooling Design reusable, maintainable platform components and shared automation, favoring structured and object‑oriented solutions over ad hoc scripting Introduce AI‑first approaches to enhance pipeline intelligence, developer feedback loops, and operational efficiency Reduce friction in the SDLC by simplifying tooling, automating repetitive tasks, and improving platform reliability Partner with engineering teams to promote GitHub best practices , including repository management and delivery automation Analyze, refactor, and modernize existing CI/CD implementations (e.g. Jenkins, Groovy‑based pipelines) and guide their evolution toward newer platforms Contribute to the ongoing development of a multi‑cloud strategy (Azure today, AWS planned), including SaaS and on‑premise environments Provide guidance on platform stability and DevOps cost optimization Requirements 5+ years of hands‑on experience in software engineering, DevOps, infrastructure, or platform engineering roles Strong development skills in at least one of the following languages: Python or Groovy Deep understanding of CI/CD systems and experience building end‑to‑end application delivery pipelines Advanced knowledge of Git and GitHub , including: GitHub Actions Repository and workflow management GitHub Advanced Security Experience operating at scale within large organizations with distributed teams and numerous repositories Proven ability to design, test, version, and support automation components used by other engineering teams Practical experience reading, refactoring, and migrating legacy CI/CD codebases Solid understanding of cloud platforms ( Azure preferred; AWS or GCP experience is a plus ) Hands‑on experience with container technologies and orchestration Familiarity with Infrastructure as Code and CI/CD tooling (e.g. Terraform, Jenkins, Git‑based workflows) Willingness to work in a hybrid model, including on‑site presence at the office once per week What can we offer Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company; Work on innovative projects using modern technologies; Direct impact on shaping the image of the Capital Group’s companies on the market; Possibility to develop competences in a wide range; Attractive salary; Stability of employment and a friendly work atmosphere; Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more.

🏢 Summary: Hands-on DevOps Engineer role focused on operating and evolving a secure, mission-critical fintech platform used by global financial institutions. Responsible for production operations, CI/CD pipelines, cloud infrastructure, monitoring, incident management, and release coordination in a regulated environment. Combines engineering and operations to ensure reliability, security, and scalability at scale. 🗂️ Requirements: Experience with Linux/Unix systems in production, Proficiency in Infrastructure as Code using Terraform and Ansible, Experience building and maintaining CI/CD pipelines, Hands-on experience with cloud platforms (Azure preferred), Experience with containers and orchestration (Docker, Kubernetes), Scripting skills in Python and Bash, Strong security and incident response experience, Experience with monitoring and logging tools 📃 Skills: Linux, Unix, Terraform, Ansible, CI/CD, Azure, Docker, Kubernetes, Python, Bash, ELK, Grafana, Datadog, ISO27001, SOC2 🏢 Description: An innovative financial technology company is seeking an experienced DevOps Engineer to help operate and evolve a highly secure, mission‑critical platform used by global financial institutions. You’ll be responsible for production operations, CI/CD, cloud infrastructure, monitoring, incident management, and release coordination across a distributed platform. The role is hands‑on, blending operations with engineering in a regulated environment. Key skills Linux/Unix systems in production Infrastructure as Code (Terraform, Ansible) CI/CD, monitoring (ELK, Grafana, Datadog) Cloud platforms (Azure preferred) Containers & orchestration (Docker, Kubernetes) Scripting (Python, Bash) Strong security and incident response experience Nice to have Financial services experience Security, networking, or blockchain exposure Compliance standards (ISO27001, SOC2) What’s on offer Complex technical challenges in modern fintech Collaborative, high‑calibre engineering team Competitive package and flexible working Interested in building reliable, secure platforms at scale—apply to find out more.

🏢 Summary: Staff Engineer role focused on leading the design, evolution, and reliability of a high-scale distributed backend platform that generates and distributes real-time customer offers. The position combines deep hands-on backend engineering with architectural leadership in event-driven systems. It emphasizes scalability, performance, observability, and operational excellence in a complex production environment. 🗂️ Requirements: Experience owning complex backend systems end-to-end in scalable production environments, Proven experience designing and operating distributed systems, Strong backend engineering expertise in Java, Solid understanding of JVM performance, Hands-on experience with Apache Kafka, Hands-on experience with Spring Boot and/or Vert.x, Hands-on experience with Redis, Hands-on experience with OpenSearch or Elasticsearch, Experience with observability tools such as Datadog, Grafana, or Kibana, Strong system design skills in event-driven and asynchronous architectures, Knowledge of concurrency and non-blocking system design, Experience with scalability, resiliency, and fault-tolerance strategies, Experience debugging production incidents in distributed environments 📃 Skills: Java, JVM, Kafka, Spring, Vert.x, Redis, OpenSearch, Elasticsearch, Datadog, Grafana, Kibana, Kubernetes 🏢 Description: ABOUT THE ROLE We are looking for a passionate and highly experienced Staff Backend Engineer to help lead the design, development, reliability, and evolution of a complex distributed backend platform. This role is ideal for someone who enjoys going deep into understanding both the technical and business context behind problems, not just implementing solutions mechanically. We value engineers who are curious, proactive, and driven by learning - people who enjoy experimenting, challenging assumptions, and troubleshooting complex systems until the root cause is fully understood. As a Staff Backend Engineer, you will provide technical leadership across architecture, engineering practices, and platform evolution while remaining hands-on when needed. You will help teams make better technical decisions, raise engineering standards, simplify complex systems, and create solutions that balance business needs with long-term platform health. We're looking for someone who is comfortable working in ambiguity, treats failure as an opportunity to learn, welcomes constructive feedback, and leads through collaboration, ownership, and execution rather than authority. ABOUT YOUR FUTURE PLATFORM TEAM We build and operate a critical backend platform that generates, validates, and distributes customer-facing offers across multiple markets in real time. The system sits at the intersection of pricing, configuration, compliance, and localization - where milliseconds matter, correctness is non-negotiable, and small mistakes can have large-scale impact. Our systems apply complex configuration and licensing rules, handle market and event-level blocking, manage multi-language localization, and transform raw pricing data into customer-ready offers consumed across the ecosystem. We process high-throughput event streams, deal with constantly changing data, and solve problems that require both strong engineering fundamentals and deep domain understanding. Success means no incorrect or missing offers in production, near real-time reflection of pricing and configuration changes, fully compliant offers across jurisdictions, and seamless multi-language experiences for customers. Our ecosystem is built around: Event streaming and backbone: Apache Kafka Backend services: Java 23+ with Spring Boot and Vert.x (we are continuously evolving toward highly reactive, asynchronous, and event-driven architecture) State and performance optimization: Redis Search and analytics: OpenSearch / Elasticsearch Observability and operations: Datadog, Grafana, Kibana Runtime and scalability: Kubernetes-based containerized infrastructure We are actively evolving our platform toward more reactive, asynchronous, and event-driven architectures, making this an exciting environment for engineers who enjoy distributed systems, performance, concurrency, and real-time data processing challenges. WHAT YOU'LL DO Technical Leadership Leading architecture and design discussions for scalable, resilient distributed systems Collaborating with Architects and senior engineers to define solution approaches and evaluate new technologies through spikes and PoCs Improving and simplifying existing system designs while maintaining high engineering standards for performance, correctness, and maintainability Maintaining a strong engineering bar across quality, scalability, and maintainability Platform Reliability & Engineering Excellence Proactively identifying scalability, reliability, and performance risks across the platform Leading debugging and root cause analysis for complex production incidents Improving observability, monitoring, alerting, and operational readiness Driving technical debt reduction and continuous platform improvement Promoting best practices across event-driven systems, resiliency patterns, performance optimization, testing, automation, and CI/CD Team Enablement & Collaboration Supporting day-to-day technical coordination within the team and contributing to incident handling and engineering discussions Mentoring engineers through design reviews, code reviews, and hands-on technical guidance Supporting cross-team collaboration and helping troubleshoot integration and platform issues Encouraging a culture of collaboration, clarity, and shared ownership Actively participating in engineering communication channels and helping unblock others Delivery & Execution Working closely with Product, Engineering Managers, and Architects to translate ideas into executable technical solutions Helping define and break down EPICs and technical initiatives in Jira Driving clarity in ambiguous or complex technical initiative Ensuring alignment between short-term delivery needs and long-term platform evolution WHAT WE'RE LOOKING FOR Required Experience: Experience owning complex backend systems end-to-end in scalable production environments Proven experience designing and operating distributed systems Strong backend engineering expertise in Java, with solid understanding of JVM performance Hands-on experience with: Apache Kafka and event-driven architectures Spring Boot and/or Vert.x Redis for low-latency and stateful use cases OpenSearch / Elasticsearch for querying and analytics Observability tools such as Datadog, Grafana, or Kibana Strong system design skills, including: Event-driven and asynchronous architectures Concurrency and non-blocking system design Scalability, resiliency, and fault-tolerance strategies Evaluating trade-offs between latency, throughput, and consistency Experience debugging production incidents in distributed environments Strong communication skills and ability to influence technical decisions across teams Proactive mindset with strong ownership and accountability Comfortable working in complex, fast-paced engineering environments Collaborative approach and willingness to support and mentor others Nice to Have: Kubernetes and cloud-native infrastructure experience Experience building internal platforms or shared engineering frameworks SRE mindset and operational excellence practices Experience with real-time or high-throughput data systems Experience leading cross-team technical initiatives WHAT SUCCESS LOOKS LIKE Teams rely on you for technical direction and practical problem-solving The platform becomes more reliable, scalable, and easier to operate over time Production incidents decrease due to proactive engineering and improved system design Cross-team dependencies are better coordinated and easier to manage Engineering quality and consistency improve across services and squads Engineers grow technically through your mentorship and guidance WHAT WE OFFER Competitive salary aligned with your experience, expertise, and impact A collaborative, inclusive, and fast-paced engineering environment where ideas are welcomed, ownership is encouraged, and continuous learning is valued Hybrid work policy 4 weeks of Workation (T&C apply) Benefits package - 800 PLN net (B2B)/gross (UOP) monthly with access to the cafeteria platform (private medical care, insurances, sports card) Training budget ICAS assistance program that can provide help and guidance during challenging moments. Our office provides complimentary snacks and drinks; on Mondays, we serve complimentary breakfast. Team and office social events throughout the year Free parking for bicycles and motorcycles Free gym in the building Equipment: MacBook Pro + smartphone (iPhone 16/17 or Samsung Galaxy S25)

🏢 Summary: Senior Staff Engineer role focused on leading the design and evolution of large-scale distributed systems and data infrastructure supporting high-growth, high-throughput observability platforms. The position combines deep hands-on technical contribution with cross-team architectural leadership and long-term technical strategy ownership. You will drive high-impact initiatives such as distributed storage engines, real-time streaming infrastructure, and large-scale system re-architecture. 🗂️ Requirements: BS/MS/PhD in scientific field or equivalent experience, 10+ years backend, infrastructure, or distributed systems engineering experience, 4+ years leading complex cross-team technical initiatives, Proven design and delivery of large-scale distributed systems, Expertise in distributed storage, event streaming, networking, data infrastructure, or observability, Experience optimizing performance and reliability in high-scale systems, Ability to define architecture across multiple teams, Experience with AI coding tools and validation of AI-generated code 📃 Skills: DistributedSystems, Backend, Infrastructure, DistributedStorage, EventStreaming, Networking, DataInfrastructure, Observability, SystemDesign, Architecture, PerformanceOptimization, Reliability, Scalability, AI 🏢 Description: About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several teams or product lines. Drive the design and delivery of high-scale, high-impact projects, from vision to execution in production. Build consensus and alignment across stakeholders on key architectural decisions and long-term strategy. Deeply investigate and optimize performance, reliability, and efficiency in large-scale distributed systems. Collaborate with Staff Engineers, Directors, and VPs across the company to shape Datadog’s technical roadmap. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent practical experience. You have 10+ years of backend, infrastructure, or distributed systems engineering experience. You have 4+ years of experience leading complex technical initiatives and cross-team projects.You have designed and delivered systems that are deeply technical, highly reliable, and serve critical business needs. You can navigate and make progress in ambiguous problem spaces, identifying the right problems to solve. You have exceptional communication skills, with the ability to align diverse stakeholders around a shared technical vision. You have deep expertise in one or more core systems domains—such as distributed storage, event streaming, networking, data infrastructure, or large-scale observability—and broad awareness of adjacent areas. You care about getting things right, not just getting them done, and you raise the bar for engineering quality around you. You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$272,000—$340,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms that support large-scale data processing systems. The position combines hands-on engineering and strategic impact to ensure scalable, secure, and reliable production environments. You will design, automate, and optimize platform services enabling efficient delivery of data-driven applications. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting distributed production systems, Hands-on experience with public cloud platforms, Strong knowledge of containerization and orchestration, Experience with infrastructure as code, Strong scripting or programming skills, Experience building and maintaining CI/CD pipelines, Knowledge of observability practices and tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, CI/CD, Linux, Monitoring, Logging, Alerting 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms supporting large-scale data processing systems. The position combines hands-on engineering with strategic platform development to ensure scalable, secure, and reliable production environments. You will design, automate, and maintain infrastructure and observability solutions across distributed systems. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting production systems in distributed environments, Hands-on experience with public cloud platforms (AWS or similar), Strong knowledge of Docker and Kubernetes, Experience with infrastructure as code tools (Terraform), Strong scripting/programming skills (Python or Bash), Experience building and maintaining CI/CD pipelines, Knowledge of observability, monitoring, and logging tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, Linux, CICD, Observability, Automation, Infrastructure, Cloud 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: The offer is for a DevOps Engineer responsible for designing, automating, and maintaining CI/CD pipelines and infrastructure for flight software and related systems. The role focuses on infrastructure as code, container orchestration, observability, and operational reliability across on-premise and cloud environments. It involves supporting development teams and ensuring secure, reproducible, and resilient delivery processes in mission-critical projects. 🗂️ Requirements: Minimum 3 years in DevOps or related role, Hands-on experience with GitLab CI/CD or Jenkins, Production experience with Docker and Kubernetes, Experience with Terraform and Ansible for infrastructure automation, Knowledge of Prometheus, Grafana, Loki or OpenTelemetry, Ability to troubleshoot distributed systems performance and stability issues, Experience with Linux systems, Experience with artifact repositories such as Nexus, Ability to work with technical documentation in English 📃 Skills: GitLab, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, Loki, OpenTelemetry, Linux, Nexus, Git, CI/CD 🏢 Description: Tasks: Build and maintain CI/CD pipelines in GitLab CI/CD and Jenkins for flight software, ground systems, and simulation tools; Ensure build reproducibility, versioning, and artifact archiving in Git and Nexus; Maintain and automate test environments (including hardware-in-the-loop), on-premise, cloud, and hybrid; Develop and maintain Infrastructure as Code using Terraform and Ansible; Manage the container environment (Docker, image registries) and Kubernetes clusters; Configure and enhance monitoring, logging, and telemetry (Prometheus, Grafana, Loki, OpenTelemetry); Collaborate with the security team on hardening, access controls, and auditability; Participate in incident handling, root cause analysis, and improving operational readiness; Support development teams by providing tools, templates, and delivery process automation. Requirements: At least 3 years of experience in a DevOps or related role; Hands-on experience with GitLab CI/CD and/or Jenkins; Experience with Docker and Kubernetes in production environments; Experience in infrastructure automation using Terraform and Ansible; Knowledge of observability and monitoring solutions (Prometheus, Grafana, Loki, OpenTelemetry); Ability to diagnose performance and stability issues in distributed environments; Experience working with Linux systems and artifact repositories (e.g., Nexus); Strong teamwork and technical communication skills; Good command of English for working with technical documentation. Nice to have: Experience in mission-critical environments (space, aerospace, telco, automotive, defense); Knowledge of hardware-in-the-loop concepts and embedded systems integration; Experience with hybrid clusters and multi-environment deployment automation; Knowledge of SRE practices, incident response, and postmortem analysis; Experience implementing security policies in CI/CD pipelines. We offer: Participation in high-responsibility technology projects. Real influence on the architecture of DevOps processes and engineering environments. Work with a modern tool stack, offering a high level of autonomy and ownership. Opportunities to develop expertise in critical systems and space technologies. Stable employment in a modern company with a well-established market position. A friendly, collaborative work environment and a well-coordinated team. An attractive salary and benefits package (including private medical care and a sports card).