Engineer, Development Operations - Archimedes

Navitus Health Solutions, LLC•,

4d•Hybrid

About The Position

The Engineer, Development Operations is responsible for designing, implementing, and operating secure, scalable, and automated cloud infrastructure, Infrastructure-as-Code (IaC), CI/CD pipelines, and platform automation across Azure-based application, data, integration, and AI workloads. This role serves as a key technical owner for Infrastructure-as-Code, Continuous Integration/Continuous Delivery, deployment automation, cloud orchestration, and DevSecOps practices using Azure DevOps, GitHub Actions, Terraform, Bicep, Azure-native services, and related automation tooling. Operating in an Azure-first, Terraform-driven environment, the DevOps Engineer builds consistent, repeatable, version-controlled infrastructure and deployment patterns across development, test, staging, and production environments. The role supports cloud-native applications, microservices, APIs, data workflows, Databricks, Data Lake, Synapse, machine learning platforms, and enterprise integration patterns. The Engineer, Development Operations partners with software engineering, data engineering, analytics, security, infrastructure, and business teams to deliver fully automated, scalable, secure, and observable platforms. This includes enabling rapid software delivery, system interoperability, cloud-native connectivity, event-driven architecture, robotic process automation, workflow automation, and machine learning operations.

Requirements

Bachelor’s degree or equivalent work experience required.
6+ years in DevOps, Cloud Engineering, or SRE roles with a focus on Azure required.
Advanced experience with Azure DevOps, ARM/Bicep, and Terraform for pipeline and infrastructure automation required.
Proficient in scripting with PowerShell, Bash, or Python for automation and tooling integration.
Strong knowledge of Azure-native services, including App Services, AKS, Key Vault, Load Balancers, VNETs, Application Gateway, and Azure DNS required.
Hands-on experience with containerization and orchestration in AKS, including networking, ingress controllers, and horizontal pod autoscaling required.
Familiarity with Azure Active Directory, RBAC, and service principals for secure identity and access management required.
Expertise in monitoring and diagnostics using Azure Monitor, Log Analytics, and Kusto Query Language (KQL) required.

Nice To Haves

Certifications such as Microsoft Certified DevOps Engineer Expert, Azure Solutions Architect Expert, or Azure Security Engineer Associate preferred.
Experience supporting CI/CD, automation, and deployment patterns for Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, and lakehouse environments preferred.
Familiarity with DataOps, MLOps, machine learning deployment automation, AI platform operations, and analytics engineering workflows preferred.
Exposure to Azure Machine Learning, Azure OpenAI, Databricks ML, MLflow, model registries, and automated model deployment patterns preferred.
Experience with Azure DevOps Extensions, Release Gates, Approval workflows, and Pipeline Security Scanning preferred.
Familiarity with serverless design patterns, event-driven architecture, and services like Azure Functions, Logic Apps, Event Grid, and Service Bus preferred.
Knowledge of compliance frameworks (HIPAA, SOC 2, ISO 27001) and Microsoft’s Cloud Adoption Framework preferred.

Responsibilities

Collaborate closely with application development teams to optimize build, test, release, and deployment workflows, reducing cycle time and increasing release frequency.
Architect, implement, and optimize multi-stage CI/CD pipelines using Azure DevOps, YAML, environments, templates, deployment groups, release gates, and GitHub Actions.
Build and maintain CI/CD pipelines supporting applications, APIs, microservices, infrastructure, data pipelines, Databricks workloads, analytics platforms, and machine learning deployments.
Serve 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 automation.
Develop reusable Terraform modules, Bicep templates, ARM templates, shared pipeline templates, and platform blueprints to standardize deployment patterns across environments.
Automate infrastructure provisioning using Terraform, Bicep, ARM templates, Azure CLI, and PowerShell, enforcing modular reusable patterns, policy-as-code, and enterprise guardrails.
Implement policy-as-code, compliance-as-code, and governance automation using Azure Policy, Management Groups, RBAC, Defender for Cloud, and related Azure governance capabilities.
Manage and optimize package repositories including Azure Artifacts, GitHub Packages, NuGet, and npm, ensuring artifact integrity, traceability, and lifecycle control.
Support IT governance of the code release lifecycle, including semantic versioning, automated tagging, changelog generation, approval workflows, and deployment auditability.
Evaluate, integrate, and manage the DevOps toolchain, including build servers, artifact repositories, dependency scanners, secrets managers, testing tools, and security scanning tools.
Design 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 services.
Design, implement, and support enterprise integration patterns utilizing REST APIs, GraphQL APIs, SOAP services, webhooks, message queues, event-driven architecture, and managed integration services.
Develop 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 services.
Support integrations between SaaS platforms, internal applications, third-party vendors, cloud services, data platforms, automation tools, and enterprise systems.
Partner with software engineering teams to establish API lifecycle management, API security controls, automated testing, monitoring, and deployment patterns.
Partner 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 integrations.
Design, automate, and support DataOps processes across Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Azure Data Factory, Synapse Analytics, and related analytics platforms.
Build and maintain automated deployment pipelines for Databricks workspaces, notebooks, jobs, clusters, Unity Catalog, libraries, data products, and supporting cloud infrastructure.
Enable infrastructure and DevOps support for machine learning, ETL, analytics, data lake, and lakehouse environments, ensuring secure service access, RBAC, observability, and cost controls.
Support MLOps platform capabilities, including model training, validation, deployment, monitoring, model registry integration, and governance automation.
Partner 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 automation.
Support enterprise automation initiatives utilizing robotic process automation, workflow orchestration, AI-powered automation, and low-code/no-code automation platforms.
Support integrations with automation platforms such as Microsoft Power Automate, Azure Logic Apps, UiPath, Automation Anywhere, and similar technologies.
Use pipeline analytics and deployment telemetry to identify bottlenecks, reduce build/test times, improve developer feedback loops, and increase delivery reliability.
Enable full-stack observability using Azure Monitor, Log Analytics, Application Insights, KQL dashboards, SLA/SLO instrumentation, synthetic monitoring, and real-time alerting.
Implement shift-left testing strategies, including unit, integration, regression, infrastructure, and performance testing automation directly within CI/CD pipelines.
Apply DevSecOps practices within the CI/CD lifecycle, including SAST, DAST, secrets scanning, dependency scanning, code signing, artifact provenance validation, and container security.
Integrate security tools such as Snyk, CredScan, OWASP ZAP, Aqua Security, Defender for Cloud, or similar platforms into the software delivery lifecycle.
Integrate infrastructure validation into the delivery process using tools such as Pester, InSpec, Terratest, or similar testing frameworks.
Lead containerization and deployment strategies using Docker, Helm, Azure Container Registry, and AKS, supporting secure cluster design, ingress, network isolation, pod security, and autoscaling.
Implement blue-green, canary, and ring deployments for applications and APIs using traffic routing, feature flags, deployment slots, and progressive release practices.
Build self-service platforms and reusable DevOps tooling to streamline developer onboarding, environment provisioning, service connection governance, and deployment configuration.
Maintain golden pipeline templates, DevOps starter kits, Terraform modules, automation scripts, and reusable deployment patterns to standardize delivery across teams.
Conduct failure mode analysis, root cause analysis, and resilience engineering using Azure Chaos Studio, Availability Zones, health probes, auto-healing logic, and operational telemetry.
Maintain architectural runbooks, deployment documentation, operational SOPs, environment diagrams, and audit evidence supporting change management and compliance requirements.
Support self-service enablement for developers and data teams through pipeline templates, service connection governance, shared agent pools, reusable modules, and automation frameworks.
Serve as a Tier 2/3 escalation point for platform, deployment, automation, pipeline, integration, and cloud infrastructure issues.
Operate within an ITSM framework, contributing to incident, change, release, and problem management practices.
Use Jira Service Management to triage, track, and respond to infrastructure-related work items, automation requests, deployment support, integration requests, and platform incidents.
Participate in, adhere to, and support compliance, people and culture, and learning programs.
Perform other duties as assigned.