R&D Cloud Platform Senior Software Development Engineer 1

Role Summary

Platform Engineer

Key Responsibilities of the Role:

Platform Development & Operations

1. Design, build, and maintain scalable platform components that support product engineering teams.
2. Implement automation to streamline infrastructure provisioning, deployments, and operational workflows.
3. Manage and optimize Kubernetes clusters, containerized workloads, and service mesh environments.

Infrastructure as Code (IaC)

1. Develop and maintain infrastructure using IaC tools like

   Terraform and Helm

2. Standardize cloud configurations and enforce infrastructure best practices.

Cloud & Containerization

1. Deploy and operate applications using public Cloud services mainly

   AWS.

   Azure/GCP is added advantage
2. Handle container orchestration using

   Kubernetes (EKS)

   .

CI/CD & Automation

1. Build and maintain CI/CD pipelines using tools such as

   GitLab CI .

   Argo CD or FluxCD is added advantage.
2. Automate build, testing, deployment, and release processes.

Monitoring, Observability & Reliability

1. Implement and manage observability stacks including

   OpenTelemetry, Dynatrace, Cloud-Watch

   Prometheus, Grafana, ELK/EFK.
2. Troubleshoot platform issues, optimize performance, and ensure high availability.

Security & Compliance

1. Integrate security best practices into platform workflows (DevSecOps).
2. Implement policies, RBAC, secrets management, and compliance automation.

Collaboration & Support

1. Work closely with developers to resolve platform-related challenges.
2. Build reusable templates, documentation, and playbooks for internal teams.
3. Participate in an on-call rotation if required.

Required Skills & Qualifications:

1. 4-6 years of Hands-on experience in Platform Engineering / DevOps roles.
2. Strong proficiency with Kubernetes, containerization, and cloud-native tools.
3. Deep knowledge of

   AWS

   services and architecture patterns.
4. Hands-on experience with

   Terraform

   or other IaC tools.
5. Proficiency in

   CI/CD pipelines

   and deployment automation.
6. Strong knowledge of observability toolsets (Dynatrace and OpenTelemetry).
7. Proficient in scripting languages like

   Python

   ,

   Bash

   , or

   Go

   .
8. Solid understanding of networking concepts, distributed systems, and microservice architecture.
9. Experience with

   version control systems (Git)

   and GitOps workflows (good to have).

Preferred / Good to Have Skill:

1. Experience building

   Internal Developer Platforms

   or platform-as-a-product.
2. Knowledge of

   service mesh

   technologies (Istio).
3. Familiarity with

   Crossplane

   , or platform orchestration tools.
4. Experience with security tools (Vault, Trivy, AWS Inspector).
5. Experience in agile development environments.
6. General exposure to

   GenAI, LLM-based automation

   , or AI-enhanced DevOps practices

Soft Skills:

1. Strong analytical and problem-solving abilities.
2. Willingness and ability to learn new technologies quickly.
3. Excellent communication and collaboration skills.
4. Problem-solving mindset with a focus on automation and efficiency.
5. Ownership mentality and continuous learning mindset

Total Experience Expected: 04-06 years

Minimum Qualifications

1. Bachelor s or higher degree in Computer Science/Equivalent from a reputed institute.

2. 4-6 years

   of total industry experience working in large product teams.
3. Strong

   hands-on experience with Platform engineering

   tools and technologies