[Remote] Engineer, Development Operations - Archimedes

Note: The job is a remote job and is open to candidates in USA. Navitus Health Solutions, through its Archimedes division, is a leader in specialty drug management solutions. The Engineer, Development Operations is responsible for designing and implementing secure, scalable cloud infrastructure and CI/CD pipelines, focusing on Azure-based applications and automation practices.ResponsibilitiesCollaborate closely with application development teams to optimize build, test, release, and deployment workflows, reducing cycle time and increasing release frequencyArchitect, implement, and optimize multi-stage CI/CD pipelines using Azure DevOps, YAML, environments, templates, deployment groups, release gates, and GitHub ActionsBuild and maintain CI/CD pipelines supporting applications, APIs, microservices, infrastructure, data pipelines, Databricks workloads, analytics platforms, and machine learning deploymentsServe as a technical owner for Infrastructure-as-Code practices, ensuring cloud infrastructure, networking, security controls, and platform services are provisioned, managed, and governed through Terraform and version-controlled automationDevelop reusable Terraform modules, Bicep templates, ARM templates, shared pipeline templates, and platform blueprints to standardize deployment patterns across environmentsAutomate infrastructure provisioning using Terraform, Bicep, ARM templates, Azure CLI, and PowerShell, enforcing modular reusable patterns, policy-as-code, and enterprise guardrailsImplement policy-as-code, compliance-as-code, and governance automation using Azure Policy, Management Groups, RBAC, Defender for Cloud, and related Azure governance capabilitiesManage and optimize package repositories including Azure Artifacts, GitHub Packages, NuGet, and npm, ensuring artifact integrity, traceability, and lifecycle controlSupport IT governance of the code release lifecycle, including semantic versioning, automated tagging, changelog generation, approval workflows, and deployment auditabilityEvaluate, integrate, and manage the DevOps toolchain, including build servers, artifact repositories, dependency scanners, secrets managers, testing tools, and security scanning toolsDesign and deliver secure, scalable cloud-native architectures using Azure App Services, AKS, Azure SQL, Azure Functions, API Management, Key Vault, Storage Accounts, and related Azure servicesDesign, implement, and support enterprise integration patterns utilizing REST APIs, GraphQL APIs, SOAP services, webhooks, message queues, event-driven architecture, and managed integration servicesDevelop and maintain API automation, service connections, authentication integrations, and system-to-system connectivity using Azure API Management, Service Bus, Event Grid, Event Hubs, Logic Apps, Azure Functions, and related servicesSupport integrations between SaaS platforms, internal applications, third-party vendors, cloud services, data platforms, automation tools, and enterprise systemsPartner with software engineering teams to establish API lifecycle management, API security controls, automated testing, monitoring, and deployment patternsPartner with software and data analytics teams to support deployment of data pipelines, Azure Data Factory, Databricks, Synapse, Data Lake, Event Grid, Event Hub, and related data platform integrationsDesign, automate, and support DataOps processes across Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Azure Data Factory, Synapse Analytics, and related analytics platformsBuild and maintain automated deployment pipelines for Databricks workspaces, notebooks, jobs, clusters, Unity Catalog, libraries, data products, and supporting cloud infrastructureEnable infrastructure and DevOps support for machine learning, ETL, analytics, data lake, and lakehouse environments, ensuring secure service access, RBAC, observability, and cost controlsSupport MLOps platform capabilities, including model training, validation, deployment, monitoring, model registry integration, and governance automationPartner with data scientists and data engineers to operationalize machine learning, AI, and advanced analytics workloads using Azure Machine Learning, Databricks ML, MLflow, and CI/CD automationSupport enterprise automation initiatives utilizing robotic process automation, workflow orchestration, AI-powered automation, and low-code/no-code automation platformsSupport integrations with automation platforms such as Microsoft Power Automate, Azure Logic Apps, UiPath, Automation Anywhere, and similar technologiesUse pipeline analytics and deployment telemetry to identify bottlenecks, reduce build/test times, improve developer feedback loops, and increase delivery reliabilityEnable full-stack observability using Azure Monitor, Log Analytics, Application Insights, KQL dashboards, SLA/SLO instrumentation, synthetic monitoring, and real-time alertingImplement shift-left testing strategies, including unit, integration, regression, infrastructure, and performance testing automation directly within CI/CD pipelinesApply DevSecOps practices within the CI/CD lifecycle, including SAST, DAST, secrets scanning, dependency scanning, code signing, artifact provenance validation, and container securityIntegrate security tools such as Snyk, CredScan, OWASP ZAP, Aqua Security, Defender for Cloud, or similar platforms into the software delivery lifecycleIntegrate infrastructure validation into the delivery process using tools such as Pester, InSpec, Terratest, or similar testing frameworksLead containerization and deployment strategies using Docker, Helm, Azure Container Registry, and AKS, supporting secure cluster design, ingress, network isolation, pod security, and autoscalingImplement blue-green, canary, and ring deployments for applications and APIs using traffic routing, feature flags, deployment slots, and progressive release practicesBuild self-service platforms and reusable DevOps tooling to streamline developer onboarding, environment provisioning, service connection governance, and deployment configurationMaintain golden pipeline templates, DevOps starter kits, Terraform modules, automation scripts, and reusable deployment patterns to standardize delivery across teamsConduct failure mode analysis, root cause analysis, and resilience engineering using Azure Chaos Studio, Availability Zones, health probes, auto-healing logic, and operational telemetryMaintain architectural runbooks, deployment documentation, operational SOPs, environment diagrams, and audit evidence supporting change management and compliance requirementsSupport self-service enablement for developers and data teams through pipeline templates, service connection governance, shared agent pools, reusable modules, and automation frameworksServe as a Tier 2/3 escalation point for platform, deployment, automation, pipeline, integration, and cloud infrastructure issuesOperate within an ITSM framework, contributing to incident, change, release, and problem management practicesUse Jira Service Management to triage, track, and respond to infrastructure-related work items, automation requests, deployment support, integration requests, and platform incidentsParticipate in, adhere to, and support compliance, people and culture, and learning programsPerform other duties as assignedSkillsBachelor's degree or equivalent work experience required6+ years in DevOps, Cloud Engineering, or SRE roles with a focus on Azure requiredAdvanced experience with Azure DevOps, ARM/Bicep, and Terraform for pipeline and infrastructure automation requiredProficient in scripting with PowerShell, Bash, or Python for automation and tooling integrationStrong knowledge of Azure-native services, including App Services, AKS, Key Vault, Load Balancers, VNETs, Application Gateway, and Azure DNS requiredHands-on experience with containerization and orchestration in AKS, including networking, ingress controllers, and horizontal pod autoscaling requiredFamiliarity with Azure Active Directory, RBAC, and service principals for secure identity and access management requiredExpertise in monitoring and diagnostics using Azure Monitor, Log Analytics, and Kusto Query Language (KQL) requiredCertifications such as Microsoft Certified DevOps Engineer Expert, Azure Solutions Architect Expert, or Azure Security Engineer Associate preferredExperience supporting CI/CD, automation, and deployment patterns for Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, and lakehouse environments preferredFamiliarity with DataOps, MLOps, machine learning deployment automation, AI platform operations, and analytics engineering workflows preferredExposure to Azure Machine Learning, Azure OpenAI, Databricks ML, MLflow, model registries, and automated model deployment patterns preferredExperience with Azure DevOps Extensions, Release Gates, Approval workflows, and Pipeline Security Scanning preferredFamiliarity with serverless design patterns, event-driven architecture, and services like Azure Functions, Logic Apps, Event Grid, and Service Bus preferredKnowledge of compliance frameworks (HIPAA, SOC 2, ISO 27001) and Microsoft's Cloud Adoption Framework preferredBenefitsTop of the industry benefits for Health, Dental, and Vision insurance4 weeks paid parental leave9 paid holidays401K company match of up to 5% - No vesting requirementAdoption Assistance ProgramFlexible Spending AccountEducational Assistance Plan and Professional Membership assistanceReferral Bonus Program – up to $750!Company OverviewNavitus Health Solutions LLC is a full service, URAC-accredited pharmacy benefit management company. It was founded in 2003, and is headquartered in Appleton, Wisconsin, USA, with a workforce of 1001-5000 employees. Its website is https://www.navitus.com/.