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