Senior DevOps Engineer

Role: Senior DevOps / Site Reliability Engineer

Function: DevOps / Site Reliability Engineering / Infrastructure

Location: Kolkata or Gurugram, India

Type: Full-time

Industry: AI, Medical SaaS, Dental Technology

About Company

The company builds AI-powered medical SaaS for the U.S. dental market.

Its all-in-one platform unifies analytics, scheduling, communications, payments, and marketing automation. Thousands of dental practices across North America rely on it daily.

The company was founded in 2015 by a practicing dentist, a data strategist, and a PhD technologist. It is mission-driven and execution-heavy, with a team of 88 people.

Engineers get high ownership, cross-functional collaboration, and clear, measurable impact.

Position Overview

This is a builder's role with full production ownership across the company's AWS infrastructure — not a monitoring seat or ticket queue. You will own Terraform modules, build and maintain GitHub Actions pipelines, and drive the reliability of a platform used by thousands of dental practices. The role offers flexibility between a normal and night shift, with the night window providing uninterrupted time for high-impact work: database migrations, pipeline rewrites, and staged cutovers.

Role & Responsibilities

• Own and extend Terraform modules across AWS — ECS/Fargate or EKS, RDS, VPC networking, IAM, ALB/NLB, S3, Route 53, CloudWatch — managing state safely and eliminating manually created resources via imports and refactors.
• Build and maintain GitHub Actions pipelines for build, test, containerization, and deployment; migrate legacy pipelines (Jenkins, CircleCI, GitLab CI) onto a single maintainable platform with staged rollouts, health-gated releases, and fast rollback.
• Own the production change window on your shift: deploys, schema migrations against live systems, cutovers, and maintenance with minimal disruption.
• Run and improve observability — dashboards, SLOs, and alerting calibrated to real user impact — and debug containerized applications in production across logs, metrics, traces, and resource limits.
• Operate PostgreSQL in production: read query plans, identify slow queries, manage connections, locks, and replication; operate supporting services including Redis/ElastiCache and message brokers.
• Write Python and shell automation to remove repetitive operational work; build self-service tooling, runbooks, and guardrails that make the wider engineering team faster.
• Write clear, complete shift handover notes and maintain infrastructure documentation; participate in on-call rotation and drive blameless post-incident reviews.

Must Have Criteria

• 6+ years in DevOps, SRE, Platform, or Infrastructure engineering with genuine production ownership.
• Hands-on AWS experience across ECS/Fargate or EKS, RDS, VPC networking, IAM, ALB/NLB, S3, and CloudWatch.
• Hands-on Terraform experience: writing modules, managing state, and reviewing plans in production environments.
• Practical CI/CD experience with GitHub Actions (or GitLab CI, CircleCI, or Jenkins with demonstrated ability to migrate).
• Docker proficiency with demonstrated ability to debug containerized applications in production.
• Working PostgreSQL knowledge: query plans, slow query analysis, connections, locks, and replication.
• Solid Linux fundamentals, shell scripting, and Python for operational automation.

Nice to Have

• Experience with Celery, RabbitMQ, NATS, or Kafka in production.
• Secrets management using AWS Secrets Manager, SOPS, or Vault.
• Exposure to sharded or multi-tenant database architectures.
• Experience in compliance-sensitive environments (HIPAA or SOC 2).
• Kubernetes production experience.
• Prior experience as the sole engineer on shift or in a night/off-hours rotation.
• Telephony or VoIP infrastructure exposure.

What We Offer

• Full infrastructure ownership with a protected change window for high-impact work — no ticket shuffling.
• Shift flexibility: normal or night shift based on candidate preference and business coverage needs.
• Modern stack: AWS, Terraform, GitHub Actions, Docker, PostgreSQL, and Kafka-compatible messaging.
• Direct, measurable impact on the reliability of a platform serving thousands of healthcare practices.
• Autonomy, cross-functional collaboration, and support for continuous learning and growth.