CaaS Private Site Reliability Engineer - Assistant Vice President

Deutsche Bank • Cary, NC

31d • Hybrid

About The Position

As a Site Reliability Engineer on the CaaS Private platform team, you will help operate and improve an on-prem, multi-tenant Kubernetes platform running on bare metal. You will strengthen the reliability, observability, scalability, and operational excellence of a platform that supports critical, low-latency, and regulated workloads. You will partner closely with platform, network, security, and application teams to define service level objectives, improve resilience, reduce operational toil, and build automation that allows the platform to run safely at scale. Join us here, and you will turn operational challenges into measurable engineering improvements that application teams can rely on every day.

Requirements

• Proven experience in Site Reliability Engineering, Production Engineering, DevOps, or a closely related infrastructure role
• Hands-on Kubernetes expertise, including operating clusters on bare metal or private cloud environments and supporting platform services at scale
• Strong Linux system administration capability and infrastructure-level scripting experience using Python, Ansible, and Bash
• Practical knowledge of observability stacks and telemetry pipelines, including Prometheus, Grafana, Splunk, metrics, logging, alerting, dashboards, and OpenTelemetry-style concepts
• Strong understanding of incident management, root cause analysis, operational readiness, computer networking, virtualization, containerization, and distributed systems behavior under failure

Nice To Haves

• Experience with Istio / Envoy, service mesh observability, traffic management, OPA Gatekeeper, admission controls, or policy-driven operational guardrails
• Familiarity supporting stateful services such as PostgreSQL, Kafka, MongoDB, or comparable platform dependencies
• Practical knowledge of capacity planning, load testing, chaos testing, failure-injection techniques, alert tuning, and self-healing automation
• Exposure to low-latency or regulated environments with strict uptime, change control, compliance, time synchronization, deterministic performance, or SR-IOV workload constraints
• Ability to read and understand Golang code when troubleshooting platform components, with strong written and verbal communication skills and a continuous learning mindset

Responsibilities

• Define, implement, and continuously improve SLI/SLOs, alerting standards, and error budgets for the CaaS Private platform and critical services
• Build and maintain observability across metrics, logs, alerts, and dashboards to provide clear insight into platform health, saturation, latency, and failure modes
• Lead or coordinate incident response for platform-impacting events, ensuring timely mitigation, clear communication, blameless postmortems, and durable follow-up actions
• Automate repetitive operational tasks and remediation workflows to reduce toil, improve platform consistency, and accelerate recovery time
• Improve reliability, upgrade safety, and operational readiness for Kubernetes clusters, ingress paths, service mesh components, node services, and critical platform dependencies
• Partner with platform, network, security, and application teams on capacity planning, release readiness, troubleshooting, operational documentation, and adoption of best practices

Benefits

• A hybrid working model, allowing for in-office / work from home flexibility
• generous vacation, personal and volunteer days
• Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
• Educational resources, matching gift and volunteer programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed