You will be taken to McAfee India’s own careers page to apply. Job ID 1789.
Job description
Role Summary
Looking for an experienced candidate with a blend of DevOps/Platform Engineering with automation and AI capabilities. This role will lead automation, platform modernization, cloud-native adoption, observability, and security initiatives while enabling developers through self-service platform capabilities. The ideal candidate should have expertise in AWS, Kubernetes, IAC, CI/CD, Platform Automation, Observability tools, Networking, Security and emerging AIOps technologies. This is a Hybrid position located at our Bangalore, India development center. You will be required to be on-site 2 to 3 days per week. When you are not working on-site, you will be working from your home office. We are only considering candidates within a commutable distance to our Bangalore office and are not offering relocation assistance at this time. Position Details
About the role
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.
About You
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.
#LI-Hybrid
Company Overview
McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive.We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
Bonus Program
Pension and Retirement Plans
Medical, Dental, and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement
We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Job Applicant Privacy Notice
Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California.
Responsibilities
About the role
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.
About You
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.
