Senior Site Reliability Engineer

About the Role

We are hiring on behalf of our client, a growing technology company, for a Senior Site Reliability Engineer to help shape their infrastructure strategy, design resilient cloud architectures, and ensure their platforms are secure, scalable, and high-performing. This role is critical to bringing AI systems into production with reliable delivery, strong observability, and operational excellence.

Our client is specifically looking for someone with a genuine SRE mindset - not a traditional DevOps background. Candidates should have hands‑on experience optimizing systems for reliability and building zero-downtime production systems, not just automating deployments.

Responsibilities

• Design and operate secure, scalable, high-quality infrastructure supporting modern applications and AI workloads.
• Build and maintain robust automation across CI/CD pipelines, infrastructure provisioning, and operational processes to improve reliability and minimize manual effort.
• Integrate AI-driven solutions into operational workflows to enhance efficiency, detect anomalies, and accelerate delivery.
• Apply strong systems engineering practices: monitoring, incident management, performance optimization, and capacity planning.
• Establish and uphold SRE/DevOps best practices, including reproducibility, testing, documentation, and operational excellence.
• Communicate technical decisions clearly and collaborate cross‑functionally to support predictable delivery.
• Provide mentorship and technical leadership, raising the bar on platform engineering and DevOps maturity across the organization.

Requirements

Must-Have

• 6+ years of progressive experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering (SRE background strongly preferred over traditional DevOps).
• Proven track record designing, building, and operating highly reliable, zero-downtime production systems , using patterns such as Blue/Green, Canary, progressive delivery, or Preview Environments.
• Deep, hands‑on expertise in Kubernetes (or equivalent container orchestration) running in production.
• Strong experience with Infrastructure as Code (Terraform, Pulumi, or CloudFormation).
• Solid experience with at least one major cloud provider ( AWS , GCP, or Azure), including networking, compute, storage, and security.
• Experience building CI/CD pipelines from the ground up (not just using pre-built templates).
• Practical experience with modern observability stacks (e.g., Prometheus, Grafana, Datadog).
• Some hands‑on experience supporting or deploying AI/ML workloads (model inference, vector databases, or GPU workloads).
• Strong background in platform security: secrets management, IAM, and runtime/security hardening.
• Excellent communication skills, with a proven ability to explain complex infrastructure decisions and mentor other engineers.

Nice-to-Have

• Experience with GitOps practices (ArgoCD, Flux).
• True multi‑cloud experience across AWS/GCP/Azure.
• Experience with Multi‑Cloud API Gateways and Edge Routing.
• Experience building Self‑Service Developer Platforms.
• Familiarity with Node.js , NestJS, or Python for extending DevOps tooling.
• Experience collaborating with QA/IT/ISRM teams on vulnerability remediation and incident investigation.

Benefits

• Attractive salary range and open to negotiate for strong fits.
• Hybrid/Remote-friendly culture. Work where you grow best!
• Flexible hours, async teamwork. Focus time is respected.
• Work equipment support.
• Allowance for certification & skill development.
• Year-end bonus & performance-based rewards.
• 22 paid leaves from your 5th year. Take a full month off.
• Career growth with personal coaching sessions.
• Open, collaborative team culture. No micromanagement, only trust.
• Tools & AI-powered workflows that make remote work easier.