Company: McAfee LLC
Job Title: DevOps Engineer (Platform & AI Automation)
Job ID / Requisition: 1789
Practice / Group: Product Engineering / Platform & Security Operations
Location: Bangalore / Bengaluru, Karnataka, India
Work Arrangement: Hybrid (2 to 3 days per week on-site in Bangalore; no relocation provided)
Employment Type: Full-Time Regular
Experience Level: Mid-Senior Level (4 to 6 Years of Software Engineering / DevOps / SRE Experience)
Company & Practice Overview
McAfee is a global leader in personal cybersecurity, developing integrated cloud-native security suites, identity protection platforms, and privacy solutions for hundreds of millions of consumers worldwide.
The DevOps Engineer position (Job ID: 1789) is based at McAfee’s primary R&D technology center in Bangalore. Embedded directly within the Product Engineering group, this role drives platform modernization, cloud-native adoption, self-service developer tooling, observability, and AI-assisted engineering (AIOps, GitHub Copilot, Claude Code, CodeRabbit). Engineers build and scale enterprise Kubernetes infrastructure (Amazon EKS), manage Infrastructure as Code (Terraform/Terragrunt), and ensure 24×7 high availability across McAfee’s security platforms.
Key Responsibilities & Daily Operations
- Platform Automation & Infrastructure as Code: Design, build, and maintain production cloud infrastructure on AWS using Terraform, Terragrunt, and Helm.
- Kubernetes & Cloud-Native Engineering: Manage containerized workloads across Amazon EKS, GCP/GKE, utilizing Cilium networking, API Gateways, and Service Mesh architectures (Kong, Envoy, Istio).
- CI/CD & Developer Enablement: Build high-velocity, secure software delivery pipelines using GitHub Actions and Harness, enabling self-service platform capabilities for product developers.
- Observability & Performance Testing: Instrument production applications with OpenTelemetry, Prometheus, and Grafana; execute performance testing with K6, Locust, or JMeter; and maintain runbooks/alerts.
- 24×7 Production Incident Resolution: Troubleshoot end-to-end issues across cloud networks, microservices, databases (PostgreSQL/MySQL), Kafka messaging streams, and Redis caching layers.
- AI-Assisted Development Integration: Drive operational maturity by integrating AIOps tools, CodeRabbit automated code reviews, and AI coding assistants (GitHub Copilot, Claude Code).
Minimum Eligibility & Qualification Criteria
Academic Background
- Degree: Bachelor’s or Master’s degree (B.E. / B.Tech / M.Tech / MCA) in Computer Science, Software Engineering, Information Technology, or a related field.
Experience Requirement
- 4 to 6 Years of hands-on experience in Software Engineering, DevOps, Site Reliability Engineering (SRE), or Platform Engineering in production environments.
Mandatory Technical Competencies
- Programming & Debugging: Expert proficiency in Go and Python; ability to read, debug, and patch applications in Node.js/TypeScript, Java, .NET, or C/C++; advanced SQL skills (TSQL, PLpgSQL).
- Cloud & Kubernetes Ecosystem: Deep expertise in AWS (EKS), Helm, Cilium, API Gateways, and Service Mesh (Kong/Envoy/Istio).
- Infrastructure as Code & CI/CD: Hands-on experience with Terraform, Terragrunt, GitHub Actions, Harness, and secure software supply chain tools (SonarQube, Dependabot, JFrog).
- Databases & Messaging: Practical experience managing distributed systems, Kafka queues, Redis caches, and analytical databases (Databricks).
Work Model & Location Constraint
- Must live within commutable distance to McAfee’s Bangalore office for a Hybrid schedule (2–3 days on-site/week). Relocation assistance is not provided.
Compensation & Employee Benefits
- Estimated Starting Salary: ₹18.0 LPA to ₹30.0 LPA (CTC) for 4–6 YOE Mid-Senior DevOps Engineers, plus performance bonuses and equity incentives.
- McAfee Corporate Benefits:
- Hybrid flexibility (2–3 days in office), pension and retirement savings plans.
- Comprehensive Health, Dental, and Vision coverage for employees and dependents.
- Paid Parental Leave, time off, and social community involvement support.
- Direct access to modern AI-assisted engineering tools (GitHub Copilot, Claude Code, CodeRabbit).
Selection Workflow & Interview Steps
1. Resume Screening & Location Audit (Job ID: 1789)
(Verification of 4–6 YOE in DevOps/SRE, Go/Python coding, EKS/Terraform expertise, & Bangalore hybrid fit)
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2. Online Technical Coding & Systems Assessment
(Assessment of Go/Python scripting algorithms, Terraform syntax, Kubernetes troubleshooting, & SQL)
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3. Technical Interview Round 1 (Hands-On Coding & Systems Debugging)
(Live coding in Go/Python, writing Terraform modules, debugging production Kubernetes/EKS incidents)
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4. Technical Interview Round 2 (Platform Architecture, Observability & Security)
(Deep dive into Service Mesh [Istio/Envoy], CI/CD pipeline automation [GitHub Actions], Kafka/Redis, & OpenTelemetry)
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5. HR & Managerial Discussion (Culture, Hybrid Agreement & Offer Rollout)
(Discussion on McAfee values, hybrid work expectations, salary structure, & formal offer issuance)
Essential Technical Topics to Prepare
- Go & Python Automation: Writing custom Kubernetes operators/controllers in Go, REST API automation in Python, and SQL query tuning (PostgreSQL/TSQL).
- Kubernetes & Cloud Networking: EKS cluster architecture, Cilium eBPF CNI, Ingress Controllers (Kong), Service Mesh sidecars (Envoy/Istio), and Pod security standards.
- Infrastructure as Code (IaC): Modular Terraform structure, Terragrunt DRY state management, GitHub Actions workflow automation, and SonarQube quality gates.
Core Resume Keywords for ATS Optimization
- Platform & DevOps: DevOps Engineer, Platform Engineer, Site Reliability Engineering (SRE), Infrastructure as Code (IaC), AIOps, Self-Service Platform
- Cloud & Orchestration: AWS, Amazon EKS, Kubernetes, Helm, Cilium, GCP, GKE, Service Mesh, Istio, Envoy, Kong API Gateway
- Languages & Automation: Go, Python, Terraform, Terragrunt, GitHub Actions, Harness, Node.js, TypeScript, SQL, PLpgSQL
- Data & Observability: Kafka, Redis, Databricks, OpenTelemetry, Prometheus, Grafana, K6, Locust, SonarQube, Dependabot, JFrog, GitHub Copilot, Claude Code
- McAfee Specifics: Job ID 1789, McAfee Bangalore, Hybrid Work Model, Product Engineering
Frequently Asked Questions (FAQs)
1. What is the Job Requisition ID for this McAfee opening?
The official McAfee job ID is 1789.
2. What experience level is required?
The position requires 4 to 6 years of experience in Software Engineering, DevOps, SRE, or Platform Engineering.
3. What is the work model and location constraint?
This is a Hybrid role based at McAfee’s Bangalore, India office requiring 2 to 3 days on-site per week. Candidates must live within commutable distance (no relocation assistance provided).
4. What primary programming languages are required?
Strong hands-on programming expertise in Go and Python is explicitly required, along with advanced SQL skills.