Senior DevOps Engineer

ashbyhq

Hyderabad, India 8 Years Exp Posted 49d ago

Job Description

  • Partner with software, data, and security engineering teams to identify friction across the software delivery lifecycle and address it through automation, platform abstractions, and improved workflows.

  • Design and evolve developer-facing platforms and tooling that standardize how services and pipelines are built, deployed, and operated.

  • Enable self-service workflows with opinionated defaults that improve reliability, security, and consistency without slowing teams down.

  • Use developer feedback, operational data, and production signals to prioritize and drive the DevEx roadmap.

CI/CD & Release Engineering

  • Design, build, and maintain CI/CD orchestration that supports high release velocity, strong security guardrails, and local-to-production parity, preferably using GitLab CI/CD.

  • Standardize build, test, and deployment patterns across application and data workloads.

  • Support modern deployment strategies and GitOps-based workflows.

Cloud Infrastructure & Kubernetes Platforms

  • Build, operate, and evolve Kubernetes-based platforms across AWS and GCP, including EKS and GKE.

  • Enable teams to run workloads on Kubernetes by providing clear operational guardrails, platform defaults, and documented best practices.

  • Manage multi-account cloud environments with a focus on security, scalability, and ease of use.

  • Design and maintain infrastructure using Infrastructure as Code, including Terraform and Crossplane.

Platform Reliability, Security & Observability

  • Build and operate internal platform components such as GitOps tooling, secret management systems, and service mesh infrastructure.

  • Operate and evolve observability platforms (e.g., Prometheus, Mimir, Thanos, Grafana, Datadog) to provide actionable signals for platform and application teams.

  • Define and apply SLIs, SLOs, alerting strategies, and incident response practices.

  • Lead and participate in blameless post-mortems, translating learnings into platform improvements and reduced operational toil.

Data Platform Enablement

  • Support engineering teams running data pipelines and batch workloads on platforms such as Airflow, EMR, and Dataproc.

  • Standardize deployment, observability, and operational patterns for data workloads.

  • Improve reliability and operability of data platforms through shared tooling and best practices.

Technical Leadership & Mentorship

  • Serve as a technical leader within DevEx, promoting best practices in platform engineering, reliability, and secure software delivery.

  • Mentor engineers and influence teams through strong technical design, documentation, and collaboration.

  • Drive adoption of internal platforms through strong defaults, clear documentation, and self-service tooling.

Qualifications

  • 8+ years of overall engineering experience, including hands-on software development and cloud infrastructure ownership.

  • Strong software engineering fundamentals with experience in at least one general-purpose programming language (e.g., Go, Python, Java).

  • 5+ years of experience building and operating cloud infrastructure on AWS and/or GCP at scale.

  • Proven experience managing multi-account cloud environments, including IAM, networking, and security best practices.

  • Strong proficiency with Infrastructure as Code, preferably Terraform and Crossplane.

  • Extensive experience operating Kubernetes platforms in production, including EKS and/or GKE.

  • Experience managing multiple Kubernetes clusters, including upgrades, networking, and security.

  • Hands-on experience with service mesh technologies such as Istio in multi-cluster environments.

  • Deep experience designing and operating CI/CD systems that support high release velocity, preferably GitLab CI/CD.

  • Experience building developer-facing tooling that improves local-to-production parity and reduces cognitive load.

  • Familiarity with GitOps practices and modern deployment strategies.

  • Experience supporting data platforms such as Airflow, EMR, and Dataproc.

  • Strong experience building and

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