Description

Role Overview

We are seeking an experienced DevOps Lead to take complete end-to-end ownership of our

AWS-based infrastructure and build the platform engineering function from the ground up.

Today, this role entails leading a lean, agile team with a clear mission: maintaining high runtime

reliability, automating operations, and implementing AI-native infrastructure workflows. As our

organization scales, you will lay the architectural and operational foundation for an expanded

DevOps and SRE organization, balancing hands-on execution today with strategic leadership

for tomorrow.

Key Responsibilities & Ownership Areas

1. End-to-End Infrastructure Architecture

● Architect, deploy, and manage multi-environment cloud infrastructure on AWS using

Terraform and infrastructure-as-code (IaC) best practices.

● Own container orchestration (Kubernetes/EKS), networking, runtime resilience, and

deployment pipelines across staging and production.

● Drive FinOps initiatives: monitor cloud usage, forecast spending, implement

cost-allocation tags, and optimize compute/storage costs without compromising reliability

or performance.

2. Reliability Engineering & SRE Practices

● Define and implement meaningful Service Level Objectives (SLOs) and Service Level

Indicators (SLIs) aligned with customer-facing product experience.

● Establish unified observability across metrics, distributed tracing, and log aggregation to

surface regressions before customers detect them.

● Establish incident command procedures, blameless post-mortems, root cause analysis

(RCA), and sustainable on-call rotations designed to prevent engineer burnout.

● Drive measurable improvements in platform reliability: reduce MTTR, lower incident

frequency, and eliminate repetitive firefighting.

3. Continuous Automation

● Identify recurring manual operational tasks and replace them with reliable automation

across environment provisioning, preview branches, blue/green or canary rollouts, and

automated rollbacks.

● Design and maintain robust CI/CD pipelines ensuring high developer velocity and

friction-free release cycles.

4. AI-Native Operations & Tooling

● Integrate autonomous and semi-autonomous AI agents into daily infrastructure workflows

rather than treated as experimental prototypes.

● Deploy agents for automated incident triage, root cause analysis, log pattern recognition,

IaC drafting, and automated runbook execution.

● Establish governance, access boundaries, safety guardrails, and audit logging to dictate

what AI agents can execute autonomously versus actions requiring human sign-off.

5. Infrastructure Security & Compliance

● Collaborate closely with Security Engineering to enforce security best practices across

infrastructure boundaries.

● Implement strict AWS IAM least-privilege policies, secret management (AWS KMS,

Secrets Manager/Vault), and vulnerability scanning in CI/CD pipelines.

● Maintain automated OS/AMI patching, container image lifecycle management, and assist

in infrastructure forensic investigations when required.

6. Team Leadership & Roadmap Strategy

● Recruit, mentor, and foster the professional growth of a high-performing DevOps and SRE

team.

● Define the multi-quarter platform roadmap: make disciplined "build vs. buy vs. retire"

technology evaluations aligned with company scale and budget.

Candidate Profile & Qualifications

Required Experience:

● Experience: 8–10 years of progressive hands-on experience in DevOps, SRE, or

Platform Engineering, including proven experience leading or mentoring engineers.

● Scale & Scope: Proven track record owning complete production infrastructure for

high-traffic, consumer-facing products subject to substantial traffic spikes and strict

latency constraints.

● Cloud & Tooling: Deep technical mastery of AWS services, Kubernetes (EKS),

Terraform, Docker, and modern CI/CD tooling (e.g., GitHub Actions, GitLab CI, ArgoCD).

● Observability: Practical expertise building full observability stacks (Prometheus, Grafana,

Datadog, OpenTelemetry, or ELK).

● Security Foundations: Solid hands-on background in cloud security controls, VPC

architecture, IAM policies, encryption, and secure pipeline gating.

● AI Integration: Active daily user of agentic development/ops tooling, with tangible

experience deploying automated workflows or agent-assisted tooling in an operational

setting.

● Cost Optimization: Demonstrated track record of auditing and trimming substantial cloud

expenditures while sustaining or improving availability metrics.

Preferred / Nice-to-Have:

● Experience architecting and scaling GPU compute clusters, scheduling, and hardware

utilization.

● Hands-on operational knowledge of LLM gateways (smart routing, token rate-limiting, cost

attribution, and multi-provider failover).

● Experience operating in highly regulated compliance environments (e.g., RBI digital

lending guidelines, DPDP, PCI-DSS, SOC 2, or ISO 27001).

● Direct experience scaling an early-stage platform team through hypergrowth.

Working Dynamics

This is a high-impact, hands-on leadership position reporting directly to Engineering Leadership.

You will collaborate daily with Product, Backend, and Information Security teams to ensure

platform infrastructure accelerates developer productivity and delivers seamless customer

uptime.

Requirements added by the job poster

• 5+ years of work experience with Amazon Web Services (AWS)

• 5+ years of work experience with Kubernetes

• 5+ years of work experience with Terraform

Key Skills

Education

Any Graduate