SRE / DevOps Engineer – AI-Augmented Operations
Role: SRE / DevOps Engineer – AI-Augmented Operations
Location: Mumbai
Experience: 2–5 Years
Type: Full-time
Overview
We’re evolving our operational model to integrate AI-driven efficiency across the engineering ecosystem. To support this shift, we’re looking for an SRE / DevOps Engineer who is comfortable operating in fast-moving environments, excels in BAU reliability work, and is eager to incorporate modern AI tools into day-to-day engineering workflows. This role sits at the intersection of reliability, automation, and applied AI—helping us strengthen platform resilience while reducing operational toil.
Responsibilities
· Execute SRE BAU operations: incident handling, root-cause analysis, operational recovery, and service stabilization.
· Own and enhance CI/CD pipelines, deployment automation, and environment consistency.
· Improve operational maturity through DevOps practices, infrastructure automation, and continuous optimization.
· Implement, maintain, and tune observability stacks—metrics, logs, alerts, dashboards.
· Leverage AI platforms (CursorAI, GenAI copilots) to speed up troubleshooting, documentation, and automation development.
· Drive reliability improvements through proactive monitoring, auto-remediation, and performance tuning.
· Partner closely with product, engineering, and security teams to support high-quality, secure, and predictable releases.
· Identify repetitive tasks and eliminate them through scripting or AI-assisted automation.
Required Skills & Experience
Core Technical Foundation
· 3–5 years of hands-on SRE or DevOps operational experience.
· Strong expertise in CI/CD (GitHub, Jenkins, Azure DevOps, etc.).
· Solid exposure to observability tools (Grafana, Prometheus, Datadog, or similar).
· Working knowledge of Azure or GCP infrastructure.
AI & Automation Competency
· Practical experience using AI tools in engineering workflows (CursorAI, ChatGPT, automation copilots, etc.).
· Ability to recognize operational inefficiencies and introduce AI-driven or scripted automation.
· Familiarity with AI-supported debugging, RCA acceleration, and document generation.
Scripting & Infrastructure Automation
· Proficiency in Python, Bash, PowerShell, or equivalent languages.
· Experience with IaC tools such as Terraform, CloudFormation, ARM, or Ansible (nice to have).
Preferred Qualifications
· Experience supporting production environments in on-call frameworks.
· Knowledge of Docker, Kubernetes, and container orchestration.
· Understanding of performance tuning and capacity planning methodologies.
· Exposure to integrating AI capabilities within operational or CI/CD pipelines.
What We’re Looking For
· Fast learner with strong adaptability in an AI-accelerated engineering landscape.
· Demonstrated ability to use AI tools to boost efficiency, reduce toil, and accelerate delivery.
· Ownership mindset with analytical problem-solving skills and continuous improvement drive.
· Strong communication skills and the ability to collaborate effectively across teams.
