• Take end-to-end ownership of initiatives: from discovery to maintenance • Work with AWS and GCP infrastructure (IaC, networking, compute, IAM, secrets) • Define and implement patterns for auditability, secure access, logging, traceability, and compliance • Collaborate closely with developers to improve their workflows and experience

• combine deep technical expertise with team leadership to drive reliability • lead other SREs in solving complex operational challenges • establish technical standards and serve as an advisor to engineering leadership • lead cross-functional reliability initiatives • architect enterprise-scale infrastructure solutions • establish Service Level Objectives (SLOs) • lead major incident response as incident commander • drive strategic improvements to observability • evaluate and introduce new technologies

• As a DevOps / Data Engineer, you play a central role in building and evolving our data and platform infrastructure. • You ensure stable, scalable and automated operations, from data integration through to production run-time. • You design, develop and optimize CI/CD pipelines for data workloads and infrastructure components (Infrastructure as Code). • You implement high-performance, robust ETL/ELT processes and orchestrate production-ready data pipelines including monitoring, logging and alerting. • You ensure the stability, scalability and platform compatibility of our systems and continuously evolve our architecture according to current best practices. • You work closely with data scientists, analysts and business units to reliably deliver high-quality, production-ready data products. • You drive the development of a sustainable DataOps culture with a focus on automation, testing, versioning and quality assurance. • You evaluate new technologies in the cloud and data engineering space and introduce them selectively where they add value.

• Partner directly with clients to assess infrastructure requirements, security constraints, and deployment preferences. • Design and implement deployment strategies for Kubernetes clusters across AWS, Azure, and on-premise environments. • Serve as the primary technical point of contact throughout the deployment lifecycle. • Troubleshoot complex deployment issues, distinguishing between infrastructure and application-level concerns. • Act as a system validator to ensure our solutions function seamlessly within client environments. • Gather client feedback to inform internal development priorities. • Continuously apply and improve deployment best practices and coach peers in their adoption.