Senior DevOps Engineer

The Role

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and

data workloads reliable and affordable at scale.

This is a hands-on role with real ownership: you won't be maintaining someone else's setup,

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make

deployment boring, incidents rare, and scaling a non-event. ---

What You'll Own

**CI/CD & developer experience**

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible

automated testing, rollbacks, and release controls.

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch

processing for the speech pipeline.

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting,

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security

requirements) for a product that handles sensitive customer conversations.

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability

and spend. ---

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI,

Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog,

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team.

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. ---

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data,

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

Skills:- CI/CD, Amazon Web Services (AWS), Microsoft Windows Azure, Google Cloud Platform (GCP), Terraform, Python, Go Programming (Golang) and Bash