Sr. DevOps Engineer

We are looking for a passionate Senior DevOps / Platform Engineer to join our Platform Engineering team. As a core member of the team, you will own and evolve the full platform ecosystem: infrastructure automation, continuous delivery pipelines, self-service provisioning capabilities, production operations runbooks, and L2 support.

You will bring a strong DevOps culture and mindset, with a deep command of AWS infrastructure, modern tooling, and advanced platform practices including GitOps, AIOps, and Kubernetes at scale. Your mission is to make the platform reliable, observable, and effortless to consume — turning complex infrastructure into self-service capabilities that empower engineering teams to move fast and safely.

This is a hands-on, automation-first role where you are expected to codify everything, document what you build, and deliver it as a self-service product to the engineering teams around you.

Essential Duties and Responsibilities

Platform Engineering & Automation

Design, build, and operate infrastructure automation across the AWS platform using Terraform Enterprise, Ansible, Harness, Kubernetes (including operators, CRDs, and cluster lifecycle management), and GitOps practices

Support and evolve continuous delivery pipelines, ensuring reliable and repeatable deployments across environments (PRE, SBX, PRD)

Build and maintain self-service capabilities so that developers and engineering teams can autonomously claim and consume infrastructure resources (compute, storage, databases, messaging) through Kubernetes-native APIs and GitOps workflows, without manual intervention

Design and develop platform abstractions, golden paths, and reusable modules that reduce cognitive load for application teams

Improve cluster reliability, scalability, and security through advanced Kubernetes practices (autoscaling, multi-tenancy, network policies, admission controllers)

Reliability, Observability & AIOps

Leverage AIOps practices to improve platform reliability: intelligent alerting, anomaly detection, AI-assisted incident triage, and automated remediation using tools like AWS DevOps Agent, Datadog, and GitHub Copilot

Build and maintain observability across the platform (metrics, logs, traces) using Datadog, Splunk, or equivalent

Write, maintain, and improve production runbooks to ensure operational procedures are automated, documented, and accessible to the team

Provide L2 support on automation systems and pipelines already in place, troubleshooting issues across the platform ecosystem

Participate in on-call rotations and contribute to incident response and post-mortem processes

Collaboration & Continuous Improvement

Collaborate actively with Production Ops, DBA, SRE, and application engineering teams on platform improvements and migrations

Contribute to FinOps by identifying and implementing AWS cost optimization opportunities

Document architecture decisions, operational procedures, and contribute to team knowledge sharing

Champion platform engineering best practices and a culture of automation, ownership, and reliability across the organization

Infrastructure Breadth (incl. Storage, Networking, Identity)

Contribute to the automation and operation of core infrastructure services across compute, storage (NetApp, S3, EBS, EFS, FSx), networking, and identity

Integrate infrastructure resources with Kubernetes workloads (persistent volumes, storage classes, CSI drivers) and self-service provisioning patterns

Support high availability, fault tolerance, and DR readiness across platform components, contributing to RPO/RTO objectives and DR testing

Contribute to the Active Directory and DNS environment with a focus on automation, security compliance, and performance

Tools Used Daily

AWS, Terraform Enterprise, Harness, Ansible, GitHub Copilot, GitHub Actions, ArgoCD, Kargo, Kubernetes, Rancher, Datadog, Splunk, Vault, NetApp, Jira, Confluence

Required

Bachelor's degree in Computer Science, Engineering, or related field

5+ years of hands-on DevOps experience building and operating a SaaS platform on AWS

3+ years of experience as a platform engineer, contributing to automation and self-service ecosystems

3+ years of experience with Infrastructure as Code (Terraform) in an AWS environment

Strong Kubernetes expertise (workloads, networking, security, cluster lifecycle, operators/CRDs)

Solid command of CI/CD practices and GitOps workflows (ArgoCD, Kargo, GitHub Actions)

Experience with monitoring and observability tools (Datadog, Splunk, or equivalent)

Exposure to AIOps practices: intelligent alerting, anomaly detection, AI-assisted automation (Datadog AI, GitHub Copilot, or equivalent)

Experience integrating infrastructure resources with Kubernetes workloads (PV, PVC, StorageClass, CSI drivers)

Experience providing L2 support on automation systems and platform infrastructure

Strong scripting or development skills in Python, Bash, or Go

Passion for automation, documentation, and a platform engineering mindset

Preferred

Experience building Kubernetes operators or controllers (controller-runtime, kubebuilder)

Experience with claim-based or self-service provisioning patterns for infrastructure resources

Familiarity with Cilium or equivalent eBPF-based CNI for Kubernetes networking and security

Knowledge of disaster recovery design and testing on AWS

FinOps awareness and cloud cost optimization experience

Familiarity with secret management tools (Vault)

Experience with AWS storage services (S3, EBS, EFS, FSx) and/or NetApp ONTAP

Experience with backup and data protection solutions (AWS Backup or Cohesity)