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SenecaGlobal
Senior Site Reliability Engineer – AI-Driven Cloud Reliability
SenecaGlobal
Hyderabad•On-site•3-5 Yrs•Jun 27
Job description
Overview
Office 3A, 3rd Floor, Orbit, Plot Number 30/C, Survey Number 83/1, Raidurg Hyderabad – 500081, Telangana, India
Responsibilities
- We are looking for a highly experienced Senior Site Reliability Engineer to independently own, modernize, and strengthen cloud-native reliability across enterprise platforms.
- This role requires deep hands-on expertise in SRE, DevOps, Azure cloud, Kubernetes, CI/CD, Infrastructure as Code, DevSecOps, observability, automation, and AI-assisted engineering practices.
- The ideal candidate will be a senior independent contributor who can drive reliability strategy, improve production stability, reduce operational toil, strengthen deployment practices, and responsibly use AI to accelerate platform engineering and incident management workflows.
- Own and drive SRE practices across cloud-native platforms, infrastructure and applications.
- Lead production readiness reviews, reliability assessments, architecture reviews and operational risk evaluations.
- Troubleshoot complex production and non-production issues across infrastructure, CI/CD pipelines, branching strategies, cloud platforms, networking and application performance.
- Improve system availability, scalability, resilience, latency and recovery through automation, proactive monitoring and self-healing solutions.
- Provide guidance to engineering, platform and cloud teams on SRE, DevOps and reliability best practices.
- Drive proactive DevSecOps adoption and integrate security practices throughout the development and operations lifecycle
- Own and drive SRE practices across cloud-native platforms, infrastructure, and applications.
- Define reliability standards, SLIs, SLOs, error budgets, runbooks, post-mortems, SOPs, and incident response workflows.
- Lead production readiness, reliability reviews, architecture reviews, and operational risk assessments.
- Troubleshoot complex production, infrastructure, CI/CD, Kubernetes, cloud, networking, and performance issues.
- Improve availability, scalability, latency, resilience, and recovery through automation, proactive engineering, and self-healing practices.
- Guide engineering, platform, and cloud teams on modern SRE, DevOps, and reliability practices.
- Design and optimize secure, scalable, highly available, and cost-efficient cloud infrastructure.
- Build and govern IaC using Terraform, ARM/Bicep, Ansible, CloudFormation, Pulumi, or equivalent tools.
- Mandatory hands-on experience with ARM/Bicep.
- Automate operational tasks using PowerShell and Azure CLI; experience with Python, Bash, or Go is preferred.
- Build reusable automation frameworks, IaC modules, deployment templates, runbooks, and platform standards.
- Review infrastructure, IAM, cloud, network, Kubernetes, and pipeline configurations for reliability, security, scalability, and cost efficiency.
- Build self-service capabilities and internal developer platform practices to improve engineering velocity.
- Architect and optimize CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, or similar tools.
- Mandatory hands-on experience with Azure DevOps.
- Design reliable release strategies with mandatory hands-on experience in blue-green deployments, along with canary, rolling, feature flags, and rollback automation.
- Lead containerization and orchestration using Docker, Kubernetes, Helm, Azure Container Apps, AKS, EKS, or GKE.
- Mandatory hands-on experience with Azure Container Apps.
- Improve deployment reliability, release governance, lead time, change failure rate, and recovery time.
- Integrate security into CI/CD, cloud infrastructure, containers, Kubernetes, and release workflows.
- Implement SAST/DAST, secrets management, vulnerability scanning, policy enforcement, and compliance automation.