DevOps Engineer

Company: People Impact

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Salary Range: ₹ 30-40 Lacs PA

Job Description

This is a Permanent Role with a Valued Clients of People Impact

We are hiring a hands-on Platform Engineering / DevOps professional with strong experience in designing, building, and operating scalable cloud-native delivery systems. This role is focused on enabling reliable, automated, and secure software delivery across modern applications, including backend services, APIs, and full-stack workloads.

The ideal candidate will combine strong DevOps and cloud engineering expertise with a solid understanding of application architecture, observability, and production operations. You will work closely with engineering, architecture, and AI teams to improve deployment efficiency, system reliability, and engineering productivity across the organization.

This role also involves supporting modern workloads including AI-enabled applications and ensuring production readiness across distributed systems.

Required Experience & Expertise

• 6 to 8+ years of experience in DevOps, platform engineering, site reliability engineering, cloud engineering, or software engineering, including strong hands-on experience operating production systems in enterprise environments
• Proven experience building and operating CI/CD pipelines, cloud-native deployment platforms, containerized workloads, infrastructure automation, and release engineering frameworks
• Strong hands-on experience with Azure DevOps, GitHub, GitHub Actions, Terraform, Bicep, Docker, Kubernetes / AKS, Azure Container Registry, Azure Functions, Azure Container Apps, or equivalent DevOps and cloud platforms
• Strong understanding of cloud-native application delivery, including backend APIs, event-driven services, authentication flows, runtime dependencies, deployment pipelines, and production support models
• Practical experience with full-stack application delivery patterns, including operational understanding of React-based frontends, Node.js services, Python / backend APIs, REST services, microservices, containerized applications, and modern web deployment architectures
• Familiarity with frontend and backend build pipelines, static asset deployment, service configuration, environment variables, API gateway integration, and full-stack runtime troubleshooting
• Strong experience with observability, logging, tracing, and platform diagnostics using tools such as Azure Monitor, Application Insights, OpenTelemetry, Log Analytics, Datadog, New Relic, Grafana, Prometheus, or equivalent monitoring and reliability platforms
• Experience implementing infrastructure as code, secrets and identity management, environment standardization, deployment controls, rollback strategies, and operational governance practices
• Familiarity with AI- and ML-enabled workloads, including runtime support for Azure OpenAI, Azure AI Studio, PromptFlow, Azure Machine Learning, or equivalent platforms from a deployment, monitoring, and operational readiness standpoint
• Understanding of CI/CD, test automation, release quality, incident response, root-cause analysis, and continuous reliability improvement across the SDLC
• Ability to work closely with software engineers, AI engineers, architects, and Team Leads to enable fast, secure, and maintainable delivery
• Proven ability to reduce operational toil, improve engineering productivity, and standardize delivery through automation and platform improvements
• Strong communication and technical leadership skills, including mentoring engineers and influencing engineering standards across teams