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Production Kubernetes - Operate, scale, and evolve cloud-native infrastructure with a strong bias toward reliability, observability, and automation.

Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.

Define the APAC infrastructure architecture. This isn't a maintenance role. You'll design and own the Azure footprint for our APAC businesses end-to-end — compute, networking, storage, identity, containerisation

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

Operate the production system: deploys, rollbacks, capacity, incident response.

You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.

Priority access - be first to hear about new roles before they go public

The infrastructure is both reliable and secure — the CEO no longer concerns themselves with outages or breaches.

Deploy, manage & support ML Applications & Services on Kubernetes

Design and develop robust, scalable data pipelines using Azure Data Factory (ADF)

Design and Execute Test Cases: Create detailed, well-structured test plans and cases based on product requirements and acceptance criteria.

Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot.

Kubernetes Ownership: Be the Kubernetes maintainer. Own cluster operations end-to-end: upgrades, capacity, networking, RBAC, manifests/Helm charts, ongoing operations and maintenance

Own and manage the Salesforce release calendar across Dev, QA, UAT, and Production, including weekly/regular release cadences, blackout periods, and emergency/exception releases.

Operate and evolve our EKS-based Kubernetes platform, supporting service migrations, platform improvements, and reliability initiatives.

Serve as the primary technical lead and escalation point for enterprise data engineering initiatives

Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake

Microsoft Azure

Demonstrated expertise in designing and implementing AI-driven agents to optimize and transform the Software Testing Life Cycle (STLC)

Engage in fast-paced agile application development teams in terms of organizing, managing and executing your work with minimal supervision.

Own and evolve the test automation platform, ensuring scalability, reliability, and ease of use

Deep expertise in building and delivering technical results and solutions with national security (reselling) partners.

the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer.