Senior Devops Engineer

Senior DevOps Engineer

Location: Kochi, Delhi NCR (Full-time, On-site)

Company: Intelo.ai

About Intelo

Intelo is a transformation partner building AI agents that drive efficiency, accuracy, and growth across businesses. We solve critical retail and supply chain workflows using purpose-built AI technology.

Our platform enables retailers to:

• Forecast demand accurately
• Reduce excess inventory
• Improve sell-through
• Make faster, smarter decisions

We operate at the intersection of AI, data engineering, and product thinking - building systems that translate complex data into real business outcomes.

Role Overview

We are looking for a Senior DevOps Engineer (3-5 years of experience) to own the reliability, automation, and delivery backbone of our AI platform. Intelo ships fast - multiple environments (dev → UAT → prod), a growing set of services and data pipelines, and a weekly release cadence. This role is about making that cadence safe, repeatable, and boring: hardening CI/CD, keeping environments in parity, codifying infrastructure, and building the observability that catches problems before customers do.

You will work across our Azure- and Databricks-centric stack with backend, data, and product teams, and own infrastructure as a product - not a ticket queue.

What We Expect from Every Engineer at Intelo

This is part of our operating philosophy.

Here to Make a Difference

• Challenges the status quo
• Experiments boldly
• Adapts when the ground shifts

Open by Default

• Raises concerns early
• Shares knowledge transparently

Owns It

• Takes initiative
• Follows process even when it's hard
• Makes decisions with context - not escalation

Product Over Tickets

• Thinks from the customer backwards
• Fights unnecessary complexity
• Automates repetitive work

Always Learning

• Seeks deep understanding
• Uses AI as leverage to improve thinking and output
• Continuously upgrades technical and operational judgment

Key Responsibilities

CI/CD & Release Automation

• Own and harden our CI/CD pipelines (GitHub Actions) across services, background workers, and database migrations
• Make releases single-click and reversible - build/deploy gating, automated smoke tests, fast rollback
• Enforce correct deploy ordering (schema migrations before services) and dependency-aware provisioning so a release never breaks on ordering
• Reduce release friction so engineers can ship confidently on a weekly cadence

Infrastructure as Code

• Design, review, and maintain Terraform for Azure (Container Apps, networking, storage, Key Vault) and related cloud resources
• Eliminate configuration drift and one-off manual changes; every environment is codified and reproducible
• Manage TLS/certificates, DNS, and secrets with automated rotation and proactive expiry monitoring

Environment Parity & Platform Ops

• Close the gap between dev, UAT, and prod - consistent config, seed data, and org-level provisioning so "works in dev" means "works in prod"
• Operate PostgreSQL and Databricks infrastructure: migrations, jobs, SQL warehouses, and workload scheduling
• Partner with data engineering on pipeline reliability and scheduled workloads

Observability & Incident Response

• Build monitoring, logging, alerting, and dashboards across services and data pipelines
• Define SLOs and get ahead of failures - expiring certificates, failing jobs, capacity, and latency
• Lead incident response and blameless postmortems; turn every incident into an automated guardrail

Security & Compliance

• Support our SOC 2 posture: least-privilege access, secret hygiene, and audit logging
• Bake security and compliance checks into the pipeline rather than bolting them on afterward

Cost & Performance

• Monitor and optimize cloud and Databricks spend
• Right-size compute and storage without compromising reliability

Required Qualifications

• 3-5 years of professional experience in DevOps, site reliability, or platform engineering
• Strong Linux, networking, and systems fundamentals
• Hands-on experience with Infrastructure as Code (Terraform preferred)
• Production experience with a major cloud provider (Azure preferred; AWS/GCP acceptable)
• Containerization and orchestration (Docker; Container Apps / Kubernetes / ECS)
• CI/CD pipeline design and maintenance (GitHub Actions preferred)
• Scripting in Python and/or Bash; comfortable reading application code (Python/TypeScript)
• Solid grasp of secrets management, certificates, and DNS
• Strong problem-solving, ownership, and a bias for automation
• Bachelor's degree in Computer Science or related field, or equivalent practical experience

Preferred Experience

We would prefer engineers with experience in:

• Databricks / Spark infrastructure and cost optimization
• PostgreSQL operations and schema-migration tooling (e.g., Kysely, Alembic)
• Observability stacks (OpenTelemetry, Grafana, Azure Monitor, or similar)
• Vercel or other modern frontend deployment platforms
• SOC 2 or similar compliance programs
• Supporting AI/ML or data-intensive production systems

What This Role Owns at Intelo

A DevOps Engineer at Intelo:

• Treats infrastructure as a product whose users are the engineering team
• Makes the safe path the easy path - automation over documentation
• Measures reliability and acts on it before customers feel pain
• Leaves the system more self-healing after every incident
• Raises the operational bar for the whole team

Why Join Intelo

• Own the delivery and reliability backbone of a fast-scaling AI platform
• High ownership and visibility across the entire stack
• Shape infrastructure, release process, and observability from the ground up
• Fast-moving, product-first environment
• Culture that rewards initiative and deep thinking