Engineer, Development Operations - Archimedes

Overview

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 Dev Sec Ops  practices using Azure Dev Ops, Git Hub Actions, Terraform, Bicep, Azure-native services, and related automation tooling.

Operating in an Azure-first, Terraform-driven environment, the Dev Ops Engineer builds consistent, repeatable, version-controlled infrastructure and deployment patterns across development, test, staging, and production environments.

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.

• 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 Dev Ops, YAML, environments, templates, deployment groups, release gates, and Git Hub 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 Power Shell, 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, Git Hub 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 Dev Ops 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 Data Ops 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 work spaces, notebooks, jobs, clusters, Unity Catalog, libraries, data products, and supporting cloud infrastructure.
• Enable infrastructure and Dev Ops 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…