Core Technical Skills

Deep expertise in Kubernetes, Docker, and container orchestration at scale.
Solid understanding of cloud platforms (AWS preferred) with focus on scalability, reliability, and cost optimization.
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
Strong CI/CD experience with Jenkins or GitHub Actions, including pipeline standardization and reuse.
Experience implementing GitOps workflows using tools like ArgoCD or Flux.
Strong experience in building self-service infrastructure and developer workflows.
Strong programming skills in Python and/or Golang for platform tooling and automation.
Experience designing platform APIs, reusable modules, and golden paths for developers.
Strong understanding of SRE principles including SLIs/SLOs, error budgets, and incident management.
Lead architecture discussions and contribute to platform strategy and roadmaps.
Mentor engineers in cloud-native, DevOps, and platform engineering practices.
Drive best practices in DevOps, platform reliability, and developer experience.
Collaborate closely with Product, Security, and Infrastructure teams to improve developer productivity.
Exposure to multi-cloud and hybrid cloud environments.
Knowledge of cost governance and FinOps practices.
Familiarity with platform scalability patterns and multi-tenancy design.
Understanding of event-driven architectures and messaging systems (Kafka, SNS/SQS, etc.).
Exposure to AI/ML platform integration (as a platform capability, not core focus).
Understanding of LLM integrations, APIs, or AI-driven developer tooling.

DevOps Engineering, Solution Architect

Roles and Responsibilities

Platform Engineering & Developer Experience

Define and maintain golden paths, reusable templates, and standardized workflows for developers.
Build platform APIs, CLI tools, and automation to improve developer productivity and reduce operational overhead.
Collaborate with application, security, and infrastructure teams to align platform capabilities with business needs.
Drive platform adoption through documentation, onboarding, and developer enablement.

Cloud & Core Infrastructure

Architect, build, and operate highly available, scalable, and secure cloud infrastructure primarily on AWS.
Design VPCs, IAM, compute, storage, networking, and load balancing solutions following best practices.
Define and implement scalability, high availability, and disaster recovery strategies.
Support multi-AZ and multi-region architectures for production workloads.
Optimize infrastructure for performance, cost, and reliability (FinOps awareness).

Infrastructure As Code (IaC)

Design and maintain Terraform-based infrastructure using reusable modules and standardized patterns.
Implement remote state management, environment isolation, and secure configuration handling.
Integrate IaC workflows into CI/CD pipelines with automated validation, policy checks, and provisioning.
Enforce infrastructure governance and compliance using policy-as-code.

Containers & Kubernetes Platform

Design, deploy, and operate Kubernetes platforms (EKS and on-premise).
Manage cluster lifecycle including provisioning, upgrades, scaling, and decommissioning.
Operate and standardize Kubernetes add-ons (CNI, CoreDNS, ingress controllers, CSI drivers, etc.).
Design multi-cluster strategies for workload isolation, failover, and scalability.
Build reusable Helm charts and manage application lifecycle using Helm and GitOps practices.
Provide standardized deployment patterns and abstractions for application teams.

GitOps & CI/CD

Implement GitOps workflows (ArgoCD/FluxCD) for declarative, version-controlled deployments.
Design and maintain CI/CD pipelines (Jenkins/GitHub Actions) with built-in quality, security, and compliance checks.
Enable progressive delivery strategies (blue-green, canary) and automated rollback mechanisms.
Ensure environment consistency, drift detection, and auditability across deployments.

Databases & Data Platform (Added Focus)

Design and manage scalable, highly available database solutions (RDS, Aurora, DynamoDB, or equivalent).
Support database provisioning, configuration, and lifecycle management via IaC.
Implement backup, restore, and disaster recovery strategies for data platforms.
Optimize database performance, scaling, and cost efficiency.
Enable secure access patterns, credential management, and data encryption.
Collaborate with application teams on schema management, migrations, and database reliability.
Integrate databases into platform workflows (self-service provisioning, automation, and observability).

Development, Scripting & Automation

Build platform tooling and automation using Python or Golang.
Develop internal services, APIs, and CLIs to standardize operations.
Automate infrastructure, deployments, and operational workflows.
Maintain reusable libraries and frameworks for platform consistency.

Observability & Networking

Implement monitoring, logging, and tracing using Prometheus, Grafana, ELK/Loki, OpenTelemetry, or CloudWatch.
(Good to have) Experience with service mesh (Istio/Envoy) for traffic control and secure communication.

AI/ML Platform Enablement (Good To Have)

Exposure to integrating AI/ML capabilities into platform workflows (as a service, not core focus).
Familiarity with LLM APIs or AI-powered developer tooling.
Support infrastructure requirements for ML workloads (compute, storage, pipelines) where applicable.

Sony India Software Centre

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