Platform Engineer

Job Description Summary:

We are looking for a Platform Engineering/DevOps/SRE Engineer to join our infrastructure team. In this role, you will design, build, and maintain scalable platforms and infrastructure that power our applications. You will bridge development and operations, focusing on reliability, automation, and operational excellence. This is a hands-on role combining platform architecture, infrastructure as code, monitoring, and incident response.

Key Responsibilities:

• Design, implement, and maintain scalable, secure, and highly available cloud infrastructure primarily on Microsoft Azure and Databricks, with working knowledge of AWS or GCP
• Build and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Azure Resource Manager (ARM), Ansible, Helm, and Argo CD.
• Develop, optimize, and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Docker, and other modern DevOps toolsets.
• Implement and enhance observability solutions including Prometheus, Grafana, ELK Stack, Datadog, and Dynatrace to ensure platform health, performance, and reliability.
• Drive SRE best practices by defining and managing SLAs, SLOs, Error Budgets, and reliability metrics.
• Establish and improve operational KPIs such as MTTA (Mean Time to Acknowledgment), MTTD (Mean Time to Detect), MTTR (Mean Time to Recovery), MTBF (Mean Time Between Failures).
• Participate in on-call rotations, incident management, root cause analysis (RCA), and implementation of preventive and corrective actions.
• Troubleshoot and resolve infrastructure, networking, platform, and application performance issues across distributed cloud environments.
• Automate manual operational processes and develop reusable tooling, runbooks, and operational documentation.
• Partner closely with engineering, architecture, security, and product teams to deliver resilient and scalable platform solution
• Champion cloud security, governance, compliance (SOC 2, ISO 27001, GDPR, HIPAA, CIS benchmarks), infrastructure modernization, and cost optimization initiatives.
• Evaluate, recommend, and integrate emerging technologies and tools to continuously improve the platform ecosystem.
• Experience managing production incidents, SRE practices, and reliability engineering frameworks.
• Strong scripting and automation skills using Python, Bash, PowerShell, or similar technologies.

Required Qualifications:

• 3-5 years of hands-on experience in DevOps, SRE, platform engineering, or infrastructure roles
• Strong proficiency in one or more cloud platforms: Azure, GCP or AWS
• Experience with infrastructure as code tools (Terraform, ARM, Ansible, or equivalent)
• Solid understanding of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD tools and pipeline development
• Proficiency in at least one programming language (Python, Go, Bash, Java) for scripting and automation
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog, or similar)
• Understanding of Linux/Unix system administration and networking fundamentals
• Experience responding to incidents and debugging production issues
• Strong communication skills and ability to work cross-functionally with development teams

Preferred Qualifications/Certification:

• BE/ B Tech in Computer Science, ECE/Electrical Engineering.
• DevOps or Cloud Certification in Microsoft Azure, AWS, or Google Cloud Platform (GCP) is preferred.
• Certifications in Infrastructure as Code (IaC) and Configuration Management tools such as Terraform and Ansible are highly desirable.
• Relevant certifications such as Azure DevOps Engineer Expert, AWS DevOps Engineer Professional, Google Professional Cloud DevOps Engineer, HashiCorp Terraform Associate, or Red Hat Ansible Automation will be an added advantage.

Technical Environment:

Our stack includes Terraform, CI/CD pipelines, multi-cloud deployments, and modern monitoring and observability tools. We value automation, documentation, and a strong operational culture.

Skills

AWS, Azure, DevOps, Docker, GCP, Kubernetes, Platform Engineering, SRE, Terraform