We are seeking a Site Reliability Engineer (SRE) with strong Database Administration (DBA) skills to ensure the reliability, performance, and scalability of our infrastructure and data platforms. You will work across engineering, operations, and data teams to build resilient systems, automate operations, and maintain mission‑critical databases. You'll create standardized CI/CD frameworks that empower development teams while providing hands-on support to troubleshoot and resolve their build and deployment issues.

This role is ideal for someone who enjoys solving distributed‑systems challenges while also diving deep into database internals, performance tuning, and data reliability.

• Experience: 8+ years in SRE/Platform/DevOps/Operations roles with ownership of production systems at scale.
• Cloud: Hands-on with AWS/Azure/GCP (preferably two); strong grasp of managed services trade-offs.
• Containers & Orchestration:Docker and Kubernetes (AKS/EKS/GKE); Helm/Kustomize; service mesh familiarity (Istio).
• Observability: Open Telemetry; metrics/logs/traces design; alerting strategies; RCA & postmortems.
• Infrastructure as Code:Terraform (preferred) or Cloud-native equivalents; modules, remote state, and CI integration.
• Programming & Scripting: Proficiency in Python/Go and Bash for automation, tooling, and APIs.
• Reliability Practices: SLO/error budgets, capacity planning, chaos/resilience testing, progressive delivery.
• Soft Skills: Calm under pressure, strong communication, pragmatic decision-making, and a continuous improvement mindset
• Understanding of networking fundamentals (DNS, load balancing, TCP/IP)
• Expertise in designing and developing reusable CI/CD pipeline templates
• Proficiency with at least two CI/CD platforms (Atlassian, Azure DevOps, Jenkins, GitHub Actions, GitLab CI)
• Strong experience with Docker and Kubernetes
• Infrastructure as Code skills (Terraform, ARM templates, or CloudFormation)
• Cloud platform expertise (Azure, AWS, or GCP)
• Experience troubleshooting build and deployment issues across multiple technology stacks
• Strong Git and version control workflow knowledge
• Experience with automated testing frameworks (.NET: x Unit/NUnit, Python: pytest)
• Artifact and package management (Nu Get, PyPI, Azure Artifacts, Artifactory)
• Scripting skills (PowerShell, Bash, Python)

Good to Have

• Experience with additional programming languages (Java, Node.js, Go)

• Knowledge of frontend frameworks (React, Angular, Vue.js)

• Git Ops implementation experience (ArgoCD, Flux)

• Service mesh technologies (Istio, Linkerd)

• Advanced deployment strategies (blue-green, canary, feature flags)

• Database CI/CD and migration automation (Entity Framework, Flyway, Liquibase)

• Security scanning tools integration (Sonar Qube, OWASP, Snyk)

• Monitoring and observability tools (Prometheus, Grafana, ELK, Application Insights)

• Configuration management (Ansible, Chef, Puppet)

• Multi-cloud or hybrid cloud deployment experience

• Experience building internal developer platforms

• Creating CLI tools or IDE extensions for developer productivity

• Policy-as-code implementation (OPA, Sentinel)

• Cloud certifications (Azure, AWS, or GCP)

• Kubernetes certifications (CKA, CKAD)

• Experience with monorepo tools (Nx, Turborepo, Bazel)

• API gateway and microservices architecture experience

• Reliability Engineering

• Define and manage service SLOs/SLIs, track error budgets, and drive reliability roadmaps.

• Proactively identify reliability bottlenecks, lead remediation, and preventative actions.

• Establish CI/CD best practices and standards across the organization

• Observability & Telemetry

• Implement and scale metrics, logs, and traces across services (e.g., Prometheus/Grafana, Open Telemetry, Dynatrace/Azure Monitor, ELK).

• Build actionable dashboards and alerts with noise reduction and runbooks for on-call.

• Incident Management

• Own on-call rotations, triage, and coordination; drive post-incident reviews and blameless RCA with clear corrective actions.

• Automate rollback/roll-forward, health checks, and verification steps.

• Performance & Capacity

• Conduct load and resilience testing; manage capacity planning and cost optimization (autoscaling, right-sizing, caching).

• Tune databases, queues, and network settings for throughput and latency.

• Automation & Tooling

• Reduce toil with automation and self-service tooling; standardize deployment and recovery procedures.

• Build reliability guardrails (chaos experiments, circuit breakers, rate limiting, backoff).

• Platform & Infrastructure

• Operate and harden Kubernetes clusters, container runtimes, and service meshes.

• Manage infrastructure using Infrastructure as Code (IaC) - (Terraform/CloudFormation/Bicep), secrets management, and policy-as-code.

• Security & Compliance

• Implement Dev Sec Ops practices: vulnerability management, dependency scanning, Identity and Access Management (IAM) hardening.

• Collaboration

• Partner with developers, QA, and product on design reviews, release strategies, and production readiness.

• Document standards and provide enablement sessions to elevate reliability practices.

• Create comprehensive documentation and self-service guides.

• **Tools & Technologies **

• Cloud: Azure

• Containers & K8s: Docker, AKS/EKS, Helm, Istio

• Observability: Open Telemetry, Prometheus/Grafana, Azure Monitor/Log Analytics, Dynatrace, Elastic

• CI/CD: GitHub Actions or Azure DevOps Pipelines; canary/blue-green deployments

• IaC & Config: Terraform/Terragrunt, Bicep, Vault/Azure Key Vault, SSM

• Security: Dependabot; Cosign; OPA