Description

Hitachi Solutions is hiring a full-time Site Reliability Engineer to support cloud operations, deployment reliability, infrastructure automation, observability, and production support for customer-facing SaaS and data platform environments. The role focuses on Azure infrastructure, Kubernetes, CI/CD, Terraform, Helm, GitOps, identity and secret management, incident response, release support, and operational documentation. It is an individual contributor role and requires hands-on experience with production environments and the listed cloud and DevOps technologies.

Required Skills

Azure infrastructure
Terraform
Kubernetes
CI/CD pipelines
Observability
Incident response
GitOps
Helm
Bicep
GitHub Actions
Azure DevOps
RBAC
Key Vault
Bash
Python
PowerShell
Go
Git
Linux
Windows

Additional Information

Required Previous Experiences: Hands-on experience as a Site Reliability Engineer, DevOps Engineer, Cloud Operations Engineer, Platform Engineer, or similar role supporting SaaS or cloud-based production environments
Strong background supporting highly available 24x7 production environments for SaaS, product, or cloud service provider platforms
Practical experience with Terraform-based infrastructure automation, including troubleshooting state, resource drift, deployment failures, environment configuration issues, and infrastructure provisioning
Experience with infrastructure as code tools and templates such as Terraform, Bicep, ARM, Helm, or similar technologies
Experience with CI/CD and release automation using Azure DevOps, GitHub Actions, YAML build pipelines, Git operations, pull requests, branching strategies, release pipelines, and deployment approvals
Working knowledge of Kubernetes, Helm, containerized architectures, AKS operations, Kubernetes service accounts, container deployment patterns, and troubleshooting cluster-related deployment issues
Experience with GitOps deployment approaches using tools such as Flux, Argo CD, or similar technologies
Experience supporting customer deployments, hotfix rollouts, environment promotions, QA, staging, production upgrades, and release coordination
Experience with observability, monitoring, logging, tracing, dashboards, and APM tools such as Datadog, Application Insights, Azure Monitor, Prometheus, Grafana, Splunk, Elastic, Sentry, Dynatrace, New Relic, Nagios, Zabbix, or similar platforms
Experience implementing observability plans across logs, metrics, traces, alerts, dashboards, and operational review processes
Ability to troubleshoot complex deployment, permissions, networking, secrets, RBAC, identity, configuration, and environment issues across unfamiliar technical environments
Experience with release automation, system administration, configuration management, deployment validation, and environment readiness
Ability to create and maintain clear technical documentation, runbooks, deployment guides, support procedures, README files, and best practice documentation
Strong analytical, troubleshooting, communication, and collaboration skills with the ability to work across engineering, QA, delivery, security, operations, and customer-facing teams
Ability to independently execute assigned work while knowing when to escalate architectural, customer-impacting, security-sensitive, or production-risk decisions
Comfortable supporting after-hours or time-zone-aligned deployment windows when required for customer or production release needs
Preferred Qualifications: Familiarity with Azure Databricks, Data Factory, data platform deployment patterns, Data Lake ACLs, Synapse, Spark data components, Unity Catalog, or similar data ecosystem components
Experience supporting data products, SaaS, or Azure Marketplace-style product deployments
Experience with Databricks deployment automation, configuration promotion, notebooks, secrets, data workflows, and customer environment promotion
Familiarity with GitOps practices, Flux, Argo CD, Helm charts, Terraform controllers, and Kubernetes-based deployment orchestration
Experience with service principal permissions, Azure identity and security patterns as it relates to Entra ID and Security Token Service
Experience with customer-facing technical support, deployment escalation triage, Web Support escalation routing, and internal SRE support ticket processes
Familiarity with Docker operations, REST APIs, SaaS deployment APIs, Azure networking, private endpoints, private DNS zones, firewalls, NAT, and cloud security practices
Exposure to MLflow, MLOps pipeline technologies, AI platform deployment pipelines, or data science platform operational support
Experience with database deployment pipelines such as DACPACs or similar technologies
Experience with SSO, federated security, and enterprise authentication patterns
Familiarity with unit testing and mocking frameworks such as unittest, MSTest, NUnit, RhinoMocks, Moq, NSubstitute, or similar tools
Prior experience with Jenkins or similar CI/CD technology
Optional certifications include Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: DevOps Engineer Expert, Certified Kubernetes Application Developer, and Certified Kubernetes Administrator
Translation Company Name: Hitachi Solutions

About Hitachi Solutions

Hitachi Solutions

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IT-Entwicklung, Ansell

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