
10,000+ employees
Founded 1993
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Harris Computer is a company that provides mission-critical software solutions across various industries, including the public sector, healthcare, utilities, and private sector verticals. They focus on acquiring businesses with growth potential, managing them effectively, and building them for future success. Harris Computer serves over 100,000 customers with a global presence in North America, Europe, Asia, and Australia, employing over 12,000 people. Their mission is to empower customers to deliver on their goals by offering tailored software and services.
đĽ 5 hours ago
đŽđł India â Remote
â° Full Time
đ Senior
đ´ Lead
âď¸ Systems Engineer
đť Ghost score 10%
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10,000+ employees
Founded 1993
đĽ Healthcare
đź Consulting
đŚ Logistics
Healthcare ⢠Consulting ⢠Logistics
Harris Computer is a company that provides mission-critical software solutions across various industries, including the public sector, healthcare, utilities, and private sector verticals. They focus on acquiring businesses with growth potential, managing them effectively, and building them for future success. Harris Computer serves over 100,000 customers with a global presence in North America, Europe, Asia, and Australia, employing over 12,000 people. Their mission is to empower customers to deliver on their goals by offering tailored software and services.
⢠Design and build Azure infrastructure using a cloud native approach and managed services ⢠Lead migration of services from an on-premises data center to Azure, including dependency mapping, sequencing, and cutover risk management ⢠Operate and extend the AKS-based platform, including GitOps deployment patterns, namespace isolation, and policy enforcement ⢠Own and evolve reusable Terraform modules consumed by other engineering teams ⢠Build and maintain observability coverage across metrics, logs, and alerting ⢠Apply policy-as-code to enforce security, compliance, and operational standards ⢠Design and review IAM patterns, including workload identity, least-privilege access, and secrets management ⢠Participate in business continuity and disaster recovery planning, including failover design, RTO/RPO definition, and recovery testing ⢠Contribute to CI/CD pipeline design and standards ⢠Use AI-assisted engineering tools and evaluate responsible AI-driven platform capabilities ⢠Mentor junior and mid-level engineers through reviews, pairing, and technical coaching ⢠Provide technical direction as an individual contributor without direct reports
⢠8+ years in platform, infrastructure, or site reliability engineering roles, with demonstrated Principal-level scope (technical leadership without formal management) ⢠Deep hands-on experience with Azure, building cloud native architectures using managed services rather than defaulting to IaaS ⢠Production experience running and operating Kubernetes at scale, ideally AKS specifically ⢠Strong GitOps experience (ArgoCD, Flux, or equivalent) ⢠Experience leading or significantly contributing to a data center-to-cloud migration, including business continuity and disaster recovery planning ⢠Working fluency in policy-as-code tooling (Kyverno, OPA/Gatekeeper, or equivalent) ⢠Strong Identity and Access Management background: workload identity federation, least-privilege IAM design, secrets management patterns that avoid static credentials ⢠Experience building and maintaining an observability stack (Prometheus, Grafana, Thanos, or equivalent) ⢠Solid Terraform experience, including designing reusable modules consumed by other teams ⢠Practical, current experience using AI-assisted development tools in daily engineering work ⢠Demonstrated ability to mentor other engineers without formal authority ⢠Preferred: Experience designing or operating hub-and-spoke network architectures in Azure ⢠Preferred: Familiarity with CI/CD pipeline design for multi-team, multi-repo environments ⢠Preferred: Exposure to evaluating or building AI-driven operational tooling ⢠Preferred: Experience presenting technical tradeoffs to engineering and business stakeholders
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