DevOps Engineer

McAfee; Bengaluru; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

McAfee is seeking an experienced DevOps/Platform Engineer to lead automation, platform modernization and cloud-native adoption. You will enable developers via self-service platform capabilities using AWS, Kubernetes, Terraform, CI/CD and AIOps.

You will join the Product Engineering team to ensure the scalability, reliability and security of 24x7 production environments and foster operational maturity across the stack.

Qualifications

• 4–6 years of experience in Software Engineering, DevOps, SRE, or Platform Engineering.
• Strong programming in Go and Python; reading, debugging, and patching applications built with Node.js/TypeScript, Dart/Flutter, Java, .NET, C++, and C; advanced SQL skills.

Responsibilities

• Participate as a functional member of the Product Engineering team in standups, design reviews, sprint planning, backlog grooming, and release readiness activities.
• Review architecture designs, pull requests, and technical solutions to ensure scalability, reliability, security, and operational readiness for 24x7 production environments.
• Troubleshoot production issues end-to-end across application, infrastructure, networking, databases, and cloud platforms; trace data flows and implement fixes with minimal escalation.
• Drive operational maturity by implementing monitoring, observability, alerting, runbooks, failover strategies, performance testing, patch management, security remediation, and release validation.
• Partner with Product Engineering, SRE, Release Engineering, and InfoSec teams to improve platform adoption, developer experience, incident response, and service reliability.

Skills

Go

Python

SQL

Tools

AWS

Kubernetes

Terraform

GitHub Actions

Harness

Prometheus

Grafana

Kafka

Redis

OpenTelemetry

Databricks

JFrog

GitHub Copilot

K6/Locust/JMeter

Job description

McAfee is looking for an experienced DevOps/Platform Engineer to lead automation, platform modernization, cloud-native adoption, observability, and security initiatives. In this role, you will enable developers through self-service platform capabilities, leveraging your expertise in AWS, Kubernetes, IAC, CI/CD, and AIOps technologies.

You will join the Product Engineering team to ensure the scalability, reliability, and security of our 24x7 production environments while fostering a culture of operational maturity.

Responsibilities

• Participate as a functional member of the Product Engineering team in standups, design reviews, sprint planning, backlog grooming, and release readiness activities while providing operational and platform perspectives.
• Review architecture designs, pull requests, and technical solutions to ensure scalability, reliability, security, and operational readiness for 24x7 production environments.
• Troubleshoot production issues end-to-end across application, infrastructure, networking, databases, and cloud platforms; trace data flows and implement fixes with minimal escalation.
• Drive operational maturity by implementing monitoring, observability, alerting, runbooks, failover strategies, performance testing, patch management, security remediation, and release validation.
• Partner with Product Engineering, SRE, Release Engineering, and InfoSec teams to improve platform adoption, developer experience, incident response, and service reliability.

Qualifications

• 4-6 years of experience in Software Engineering, DevOps, SRE, or Platform Engineering, including hands-on production coding, debugging, incident resolution, and embedded team collaboration.
• Strong programming expertise in Go and Python, with the ability to read, debug, and patch applications built using Node.js/TypeScript, Dart/Flutter, Java, .NET, C++, and C, along with advanced SQL skills (TSQL, PLpgSQL).
• Hands-on experience with Kubernetes ecosystems including Amazon EKS, Helm, Cilium, cloud-native architectures, GCP/GKE, API gateways, and service mesh technologies such as Kong, Envoy, and Istio.
• Strong platform engineering expertise including Terraform, Terragrunt, Infrastructure as Code, GitHub Actions, Harness, CI/CD pipelines, integration testing, end-to-end testing, performance testing (K6, Locust, JMeter), and secure software delivery practices.
• Deep understanding of databases, distributed systems, Kafka, Redis, observability (OpenTelemetry, Prometheus, Grafana), Databricks, security tooling (SonarQube, Dependabot, JFrog), and AI-assisted development platforms such as GitHub Copilot, Claude Code, and CodeRabbit.

Education

Not specified

Skills

AWS, CI/CD, Go, Kafka, Kubernetes, Observability, Python, Redis, Terraform, databases, Security Tooling, AIOps

Experience

4–6 years