Sony - Lead Platform Engineer - Observability Services

Sony India Software Centre; Bengaluru; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

Sony India Software Centre is seeking a Lead Platform Engineer (Observability Focus) to design and maintain scalable platforms on Kubernetes, emphasizing observability and reliability. The ideal candidate will have over 6 years in SRE or DevOps and strong Python skills.

The role involves architecting observability platforms, mentoring engineers, and driving reliability through automation across AWS and GCP services. This hands-on position requires deep expertise in cloud-native infrastructure.

Qualifications

• 6+ years of relevant experience in SRE, DevOps, or Platform Engineering.
• Production experience with Kubernetes and strong observability fundamentals.
• Experience with infrastructure-as-code, preferably Terraform.

Responsibilities

• Design, implement, and maintain resilient systems in Kubernetes.
• Architect observability platforms for metrics, logging, and tracing.
• Mentor junior engineers and influence architecture decisions.

Skills

Strong Python skills

Production experience with Kubernetes

Strong observability fundamentals

Experience with AWS cloud

Tools

Helm

ArgoCD

Docker

Job description

Lead Platform Engineer (Observability Focus)

About The Role

We are looking for a Senior Platform Engineer with deep expertise in observability, cloud-native infrastructure, and large-scale distributed systems. This role is highly hands‑on and focuses on designing, building, and operating reliable, observable, and scalable platforms running on Kubernetes, with a strong preference for AWS. Knowledge of GCP is an edge.

Key Responsibilities

Reliability & Operations

• Design, implement, and maintain highly available and resilient systems in Kubernetes‑based environments.
• Define and enforce SLOs, SLIs, and error budgets.
• Lead incident response, RCA, and postmortems.
• Drive reliability improvements through automation.

Observability (Core Focus)

• Architect and operate observability platforms for metrics, logging, tracing, and alerting.
• Work with Prometheus, Alertmanager, Grafana, Splunk, Cribl, Datadog.
• Establish actionable alerting standards.

Cloud & Platform Engineering

• Build and manage infrastructure on AWS.
• Operate Kubernetes clusters (EKS preferred).
• Deploy services using Helm, ArgoCD and Argo rollout.
• Manage containerized workloads using Docker and containerd.

Automation & Tooling

• Strong Python skills with emphasis on reliability, automation, and observability tooling.
• Develop automation and tooling using Python.
• Create internal reliability and monitoring tools.
• Integrate CI/CD pipelines with observability and reliability checks.

Collaboration & Leadership

• Mentor junior engineers.
• Influence architecture decisions.
• Collaborate across engineering teams.

Required Qualifications

• 6+ years of relevant experience in SRE, DevOps, or Platform Engineering.
• Strong Python skills with experience building production‑grade automation and tooling.
• Strong programming experience in Python.
• Production experience with Kubernetes.
• Strong observability fundamentals.
• Experience with Helm, ArgoCD, Argo Rollout and Docker.
• Experience with AWS cloud.
• Strong Linux and networking fundamentals.
• Familiarity with the SDLC.

Preferred Qualifications

• Experience with OpenTelemetry and Observability tools.
• Experience with Kubernetes package manager (Helm) and deployment (ArgoCD / Argo Rollout).
• Multi‑cluster or multi‑region Kubernetes experience.
• Service mesh (Istio) and API Gateway (Kong) experience.
• Infrastructure‑as‑Code (Terraform preferred).
• Cloud cost optimization experience.

Technology Stack

• Programming & Automation: Python (strong proficiency, production‑grade tooling and automation).
• Containerization & Orchestration: Docker, AWS EKS.
• Packaging & Deployment: Helm, ArgoCD, Argo Rollout.
• Observability & Monitoring: Prometheus, Alertmanager, Grafana, OpenTelemetry, Datadog, Splunk, Cribl, Edge Collectors, AWS Cloud Watch.
• Platforms: AWS (primary and preferred), Google Cloud Platform (good to have).
• CI/CD & DevOps: Git‑based CI/CD pipelines, release automation, reliability checks.
• Infrastructure as Code: Terraform (preferred).
• Operating Systems & Networking: Linux, TCP/IP, DNS, load balancing.

Project Details / What You’ll Work On

• Build and operate a centralized observability platform for metrics, logs, traces, and alerting across Kubernetes workloads using the mentioned tooling for services running in AWS, on‑prem, and GCP (good to have).
• Contribute to the o11y center‑of‑excellence guiding teams to create their SLOs, SLIs, reduce MTTR and collaborate with developers to move toward an Observability‑Driven Development mindset.
• Support observability for services running on our Kubernetes ecosystem.
• Develop Python‑based automation and tooling for observability, SLO reporting, incident response, and operational workflows.
• Lead incident response for production issues, conduct blameless postmortems, and drive long‑term reliability improvements.
• Optimize platform scalability, performance, and cloud cost efficiency with a strong focus on GCP and AWS.
• Act as a technical leader, influencing architecture and mentoring teams on reliability and observability best practices.

(ref:hirist.tech)