Software Engineer III
Walmart · Bengaluru · 7+ yrs experience · Posted 2026-07-28
Tech stack: GitHub Actions, Kubernetes, React, Spring Boot, Terraform
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About the role
As an L1 Support Analyst, you will be responsible for front-line operational support across monitoring, incident triage, deployment assistance, and customer care workflows. This role is execution-focused and requires strong adherence to standard operating procedures (SOPs), quick response times, and high reliability in handling production systems.
As an Operations Software Engineer, you will be responsible for ensuring the reliability, stability, and operational excellence of production systems while also contributing to engineering initiatives across frontend, backend, automation, and AI-driven development.
This role combines production operations with software engineering. In addition to incident response, deployments, and customer issue resolution, you will leverage modern AI-assisted development tools to build automation, enhance developer productivity, implement product features, and continuously improve operational efficiency.
We are looking for engineers who enjoy both operating systems and building software, and who aspire to grow into highly versatile full-stack engineers.
Responsibilities:
- 1. Production Operations & Incident Management
- Monitor production systems, dashboards, alerts, and service health.
- Perform incident triage, diagnosis, and mitigation.
- Execute operational runbooks and SOPs.
- Resolve operational issues independently wherever possible.
- Escalate complex incidents with complete debugging information.
- Participate in rotational on-call support.
- Perform root cause analysis and contribute to postmortems.
- 2. Deployment & Release Engineering
- Support deployments across all W+ services.
- Execute deployment validation and post-release health checks.
- Monitor releases for regressions.
- Coordinate production rollouts and rollback activities.
- Improve deployment automation wherever possible.
- Identify opportunities to reduce manual deployment effort.
- 3. Software Engineering Contributions
- Contribute engineering capacity outside of operational responsibilities by:
- Developing backend services and APIs.
- Building frontend components and user experiences.
- Fixing production bugs.
- Developing automation utilities.
- Contributing to technical debt reduction.
- Building internal operational tools.
- Writing unit and integration tests.
- Participating in code reviews.
- 4. AI-Assisted Engineering
- Leverage modern AI engineering tools to improve engineering velocity.
- Examples include:
- AI-assisted code generation.
- AI-based debugging.
- AI-assisted test generation.
- AI-powered documentation.
- AI code review assistance.
- AI pair programming.
- Rapid prototyping.
- Contribute to initiatives involving:
- Agentic workflows
- Developer productivity
- AI-powered automation
- Internal GenAI solutions
- Prompt engineering
- Workflow automation
- 5. Automation & Operational Excellence
- Identify repetitive operational work and automate wherever possible.
- Examples:
- Alert automation
- Self-healing scripts
- Dashboard improvements
- Monitoring enhancements
- Runbook automation
- Ticket automation
- Health-check automation
- Operational reporting
- Reduce manual operational effort while increasing reliability.
- 6. Customer Support & Service Reliability
- Investigate customer-reported issues.
- Diagnose production defects.
- Work with engineering teams on fixes.
- Improve customer experience through faster resolution.
- Identify recurring themes and recommend permanent solutions.
Qualifications:
- Bachelor’s degree in Computer Science or equivalent.
- 4–7 years of experience in software engineering, production engineering, SRE, or technical operations.
- Strong understanding of:
- Spring Boot
- REST APIs
- React or modern frontend frameworks
- Production debugging
- Experience with:
- Incident management
- Monitoring platforms
- Logging systems
- Distributed systems
- Cloud platforms
- Deployment processes
- AI Engineering Experience
- Experience using AI developer tools such as:
- GitHub Copilot
- to improve:
- Development productivity
- Debugging
- Documentation
- Automation
- Nice to Have
- Experience with:
- Kubernetes
- Observability platforms
- Terraform
- GitHub Actions
Qualifications
- Bachelor’s degree in Computer Science or equivalent.
- 4–7 years of experience in software engineering, production engineering, SRE, or technical operations.
- Strong understanding of: Spring Boot REST APIs
- React or modern frontend frameworks Production debugging
- Experience with: Incident management Monitoring platforms Logging systems Distributed systems Cloud platforms Deployment processes
- AI Engineering Experience
- Experience using AI developer tools such as: GitHub Copilot to improve: Development productivity Debugging Documentation Automation
- Nice to Have Experience with: Kubernetes Observability platforms Terraform GitHub Actions
Responsibilities
- Production Operations & Incident Management
- Monitor production systems, dashboards, alerts, and service health.
- Perform incident triage, diagnosis, and mitigation.
- Execute operational runbooks and SOPs.
- Resolve operational issues independently wherever possible.
- Escalate complex incidents with complete debugging information.
- Participate in rotational on-call support.
- Perform root cause analysis and contribute to postmortems.
- Deployment & Release Engineering
- Support deployments across all W+ services.
- Execute deployment validation and post-release health checks.
- Monitor releases for regressions.
- Coordinate production rollouts and rollback activities.
- Improve deployment automation wherever possible.
- Identify opportunities to reduce manual deployment effort.
- Software Engineering Contributions
- Contribute engineering capacity outside of operational responsibilities by:
- Developing backend services and APIs.
- Building frontend components and user experiences.
- Fixing production bugs.
- Developing automation utilities.
- Contributing to technical debt reduction.
- Building internal operational tools.
- Writing unit and integration tests.
- Participating in code reviews.
- AI-Assisted Engineering Leverage modern AI engineering tools to improve engineering velocity.
- Examples include: AI-assisted code generation.
- AI-based debugging.
- AI-assisted test generation.
- AI-powered documentation.
- AI code review assistance.
- AI pair programming.
- Rapid prototyping.
- Contribute to initiatives involving: Agentic workflows Developer productivity AI-powered automation
- Internal GenAI solutions Prompt engineering Workflow automation
- Automation & Operational Excellence
- Identify repetitive operational work and automate wherever possible.
- Examples: Alert automation Self-healing scripts Dashboard improvements Monitoring enhancements Runbook automation Ticket automation Health-check automation Operational reporting
- Reduce manual operational effort while increasing reliability.
- Customer Support & Service Reliability
- Investigate customer-reported issues.
- Diagnose production defects.
- Work with engineering teams on fixes.
- Improve customer experience through faster resolution.
- Identify recurring themes and recommend permanent solutions.