Role & responsibilities

Key responsibilities

- Build resilient, self-healing systems that scale seamlessly and improve system reliability.
- Monitor system health using charts, graphs, and logs; detect, trace, and respond to issues at scale.
- Write post-mortems and lead root cause analysis to implement corrective measures preventing issues from reoccurring.
- Create, modify, and document risk-mitigation strategies to eliminate potential risks that could impact performance, scalability, and reliability.
- Create, modify, and maintain CI/CD pipeline scripts and configurations across multiple domains.
- Create and evolve processes for source control, build, integration, automated testing, security scanning, and application delivery.
- Work with Product Engineering and Implementation Services to deliver end-to-end software delivery pipelines.
- Create automated development and operations scripts to ensure reliability, scalability, and repeatability of pipelines.
- Leverage Infrastructure as Code and Configuration as Code to automate deployments.
- Use AI coding assistants to accelerate authoring of Infrastructure as Code configurations, CI/CD pipeline scripts, and operational runbooks.
- Define and champion AI-first reliability practices across the SRE function, including standards for AI-assisted log triage, IaC generation, and post-mortem analysis workflows.
- Provide mentoring and technical guidance to Site Reliability Engineers.
- Participate in an on-call rotation.

Mandatory AI Engineering Competencies

Candidates must demonstrate the ability to work effectively in an AI-First Software Development Lifecycle.
- Proficient in AI-assisted software development using modern coding assistants to accelerate design, implementation, testing and documentation.




- Ability to translate business requirements into structured specifications prior to implementation (Spec-Driven Development).
- Robust prompt engineering skills for software engineering tasks including code generation, test generation, debugging, documentation and architecture.
- Ability to critically evaluate AI-generated outputs for correctness, security, performance and maintainability.
- Experience using AI to generate and maintain automated unit, API and integration tests.
- Demonstrated ability to work with AI agents while retaining full engineering ownership and accountability.

Essential Qualifications & Experience

You must have all of the following:

- Significant experience with GitHub or similar source repository and CI/CD collaboration platforms.
- Significant experience with container orchestration platforms such as Kubernetes or EKS.
- Significant experience with Docker or similar container technology.
- Significant experience with Python-based applications and Bash scripting.
- Significant experience with PostgreSQL.
- Solid understanding of well-architected cloud infrastructure in AWS, including: compute (EKS, EC2), storage (EFS, EBS), database (PostgreSQL), and networking (VPC, subnets, CIDRs, NACLs, security groups, VPN, Transit Gateway).
- Demonstrated ability to mentor and guide other engineers.
- Fluent written and spoken English.

Desired Qualifications & Experience

Ideally, you'll have some of the following:

- Experience with cloud computing and hybrid on-premises solutions.
- AWS Certification (Developer, DevOps, Architect, or similar).
- Experience with Ansible, Chef, Puppet, or similar configuration management technology.
- Experience with ArgoCD or similar continuous delivery technology.
- Experience with Terraform or similar infrastructure as code tooling.
- Experience in the telecommunications or utilities industries

📌 Senior Site Reliability Engineer (Bengaluru)
🏢 Sigmasoft Infotech
📍 Bengaluru