What you'll be doing

Build and operate cloud-native engineering platforms for software validation, release qualification, and operational readiness.
Design production-like release and test environments to improve release confidence and deployment readiness.
Develop automated quality gates to assess release health, operational risk, and production readiness.
Integrate automated testing, observability, reliability signals, and deployment intelligence into CI/CD pipelines.
Build reusable test frameworks, self-service environments, test data, mock services, and developer productivity tooling.
Advance shift-left engineering through automated validation, continuous verification, and quality gates.
Automate failure detection, policy validation, deployment verification, security checks, and reliability assessments.
Lead Kubernetes-based platform evolution for scalable test infrastructure, release automation, and developer self-service.
Resolve recurring infrastructure issues via sustainable software, systems, and networking solutions.
Partner with engineering teams on design reviews, architecture standards, and automation-first reliability practices.

Requirements

12+ years of experience in software, systems, platform, or reliability engineering.
Deep Kubernetes expertise across architecture, operations, networking, storage, security, autoscaling, and multi-cluster environments.
Experience building and operating large-scale Kubernetes platforms for cloud-native, mission-critical services.
Experience integrating Kubernetes with CI/CD, GitOps, automated testing, and deployment validation.
Experience designing cloud-native platforms for ephemeral environments, release qualifications, and automated validation.
Proven ability to lead engineering excellence across developer productivity, platform engineering, release confidence, and modernization.
Experience with progressive delivery methods including canary releases, feature flags, automated rollback, and deployment verification.
Experience with chaos engineering, resilience validation, disaster recovery, and reliability assessments.
Expertise in coding, testing, and debugging using languages like Python, Go, Java, or Ruby in team settings.
Experience utilizing AI-assisted engineering for intelligent testing, release risk analysis, incident diagnostics, and operational automation.
Strong coding, observability, SLO, and cross-team collaboration skills to improve reliability, performance, and engineering standards.

Expertise in observability and monitoring of applications, services, and networks at scale.
Experience with DevOps automation, CI/CD pipelines, and agile methodologies including GitLab CI/CD or similar tools.
Experience building enterprise-scale test automation frameworks such as Playwright, Selenium, Cypress, REST Assured, PyTest, JUnit/TestNG, or equivalent.
Experience with test orchestration, test impact analysis, flaky test detection, parallel execution, and intelligent regression testing.
Experience with service virtualization, contract testing, synthetic testing, and test data management.
Experience building engineering platforms supporting developer self-service and release engineering.
Experience with infrastructure configuration management tools like Ansible.
Expertise with Kubernetes ecosystem technologies such as Helm, Argo CD, Argo Workflows, Kustomize, Istio/Linkerd, Gateway API/Ingress, Prometheus, OpenTelemetry, and container runtimes.
Experience implementing GitOps using Argo CD, Flux, or similar tools.
Experience operating Kubernetes across AWS (EKS), Azure (AKS), and Google Cloud (GKE).

Company-wide designated global well-being days off in addition to holidays.
Supportive working culture promoting work-life balance.
Parental leave programs.
Childcare and caregiving benefits.
Learning platform built with company technology and tuition reimbursement programs to support growth.
Global, cross-functional mentoring programs.
Team building activities, employee belonging groups, volunteering, and community outreach programs.