SRE / DevOps Engineer – AI-Augmented Operations

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.