Job Description

We are looking for a high-caliber DevOps / SRE / Platform Engineer who brings strong engineering fundamentals and a deep sense of ownership. You will design, build, and operate the platforms and infrastructure that enable product teams to ship quickly and safely - at scale.

What You Will Do

--------------------

Platform & Cloud Engineering

Design and operate cloud-native platforms that abstract complexity and improve developer productivity. Build reusable, opinionated infrastructure using Infrastructure as Code. Own Kubernetes clusters, networking, service orchestration, and workload reliability.

Reliability Engineering

Define and drive SLIs, SLOs, and error budgets for business-critical services. Participate in on-call rotations, lead incident response, and write clear, blameless RCAs. Continuously reduce operational toil through automation and engineering solutions.

CI/CD & DevOps

Build and evolve secure, automated CI/CD pipelines using GitOps principles. Enable safe, frequent production deployments with strong rollback and observability. Partner with application teams to embed reliability and operational excellence early in the lifecycle.

Observability & Operations

Implement best-in-class logging, metrics, tracing, and alerting. Ensure alerts are actionable and aligned with service health - not noise. Build dashboards, runbooks, and self-healing mechanisms to improve MTTR.

Architecture & Collaboration

Work closely with software engineers, architects, and security teams to influence system design. Review infrastructure and architecture through the lens of scale, resilience, and cost efficiency. Champion DevOps, SRE, and cloud-native best practices across the organization.

What We're Looking For

--------------------------

Core Engineering

Strong foundations in Linux, networking (DNS, TCP/IP), and distributed systems. Proficiency in Python or Go for automation and tooling. Clean Git practices and strong software engineering discipline.

Cloud & Containers

Hands-on experience with AWS (primary), exposure to GCP or Azure is a plus. Strong experience operating Kubernetes in production environments (required). Experience with Helm and containerized workloads at scale (required).

Infrastructure & Tooling

Infrastructure as Code using Terraform (required). Configuration and automation using Chef/Ansible (preferred). CI/CD & GitOps: ArgoCD, GitHub Actions / Jenkins / GitLab CI.

Observability & Reliability

Metrics and alerting: Prometheus, Grafana, Alertmanager. Tracing/APM: Datadog, New Relic, OpenTelemetry. Incident management experience (PagerDuty or equivalent).

Data & Messaging (Working Knowledge)

Datastores: PostgreSQL, MySQL, MongoDB. Streaming & search: Kafka, Elasticsearch. Caching: Redis.

Educational Background

Bachelor's or Master's degree in

Computer Science

,

Information Technology

,

Engineering

, or a related technical field from a recognized institution. Strong grounding in

operating systems, computer networks, distributed systems, databases, and software engineering principles

. Formal coursework or academic projects involving

cloud computing, containerization, Linux systems, networking, or automation

are highly valued. Equivalent practical experience in building and operating

large-scale, production-grade platforms

may be considered in lieu of formal education. Relevant certifications such as

AWS Certified Solutions Architect / DevOps Engineer

,

CKA/CKAD

, or

Terraform certifications

are a plus, but not mandatory.

Nice to Have

Experience building internal developer platforms. Exposure to DevSecOps and cloud security. Experience operating high-traffic, consumer-facing systems. * Strong written communication (design docs, RFCs, runbooks).