• Define, implement and evolve Site Reliability Engineering practices, including SLI/SLO/SLA, error budgets and incident management. • Work on the prevention, analysis and mitigation of incidents, leading postmortems and promoting continuous learning. • Ensure high availability, performance and scalability of critical systems. • Design and maintain architectures on AWS, focusing on resilience, security and cost efficiency. • Develop and evolve infrastructure as code using Terraform. • Manage and optimize Kubernetes environments, using Helm to standardize deployments. • Create automations and reusable platforms. • Define and implement advanced strategies for monitoring, metrics, logs and traces using Datadog. • Build dashboards, actionable alerts and indicators that support technical and business decisions. • Actively participate in FinOps practices by analyzing cloud costs, proposing optimizations and supporting capacity-planning decisions. • Serve as a technical reference (tech lead) for other SREs and engineers. • Influence architectural standards, engineering practices and strategic platform decisions. • Contribute to the evolution of the organization’s operational and cultural maturity.

• Senior DevOps Engineer is responsible for entire lifecycle of Continuous Integration/Continuous Deployment pipelines and Infrastructure as Code approaches. • Takes account and defines automated configuration management, release management, build, test and deployment activities. • Provides prototypes and concepts for further automation of assigned technology. • Join our International Team and help us to create greenfield software for one of the biggest and most important project in Deutsche Telekom Group. • Development and operation of Keycloak/RHSSO-based IAM capabilities on Kubernetes, enabling secure SSO and machine-to-machine access for internal products. • Support team development by standardizing deployment, configuration, and troubleshooting practices, continuously improving reliability, security, and automation around the IAM platform.

• Develop and maintain software systems using technologies such as C++, Python, AFSIM, web services, databases, and web applications. • Architect, implement, and configure the M&S DevSecOps platform for both cloud and on-premises environments, tailored to application, user, or site requirements. • Apply DevSecOps tools and processes, including GitLab, SonarQube, Fortify, and other CI/CD and security automation platforms. • Lead platform development efforts, including core platform services and Infrastructure as Code (IaC) implementations. • Design and maintain systems to ensure high reliability, availability, and performance across distributed environments. • Provide engineering support for transition activities, ensuring legacy attributes are effectively migrated or modernized. • Collaborate with Government and Contractor teams to ensure technical alignment with mission objectives.

• Support and evolve the reliability of platforms used by the AI Research team • Ensure production services meet expectations for availability, latency, and operational readiness • Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards for production systems • Work closely with researchers and engineers in a cross-functional setting • Participate directly in team planning and execution, from early exploration through production rollout • Help researchers self-serve infrastructure safely and effectively • Build and maintain Kubernetes-based services on GCP using infrastructure-as-code and GitOps • Own and improve CI/CD pipelines for services written primarily in Go • Design and operate observability systems using tools such as Datadog • Participate in an on-call rotation (relatively light)