Company
Archimedes Pay Range
USD $0.00 - USD $0.00 /Yr. STAR Bonus % (At Risk Maximum)
0.00 - Ineligible Work Schedule Description (e.g. M-F 8am to 5pm)
Core Business Hours - Remote or Hybrid 3 Days in Office from our St. Louis, MO or Brentwood, TN offices Remote Work Notification
ATTENTION: Archimedes is unable to offer remote work to residents of Alaska, Arizona, Arkansas, California, Connecticut, Delaware, Hawaii, Idaho, Louisiana, Maine, Massachusetts, Michigan, Mississippi, Montana, Nebraska, Nevada, New Mexico, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, South Dakota, Texas, Utah, Vermont, Washington, West Virginia, And Wyoming. Overview

The Sr. Engineer, Development Operations serves as a technical leader responsible for architecting, governing, and advancing the organization's cloud platform, Infrastructure-as-Code (IaC), CI/CD, DevSecOps, automation, DataOps, MLOps, and enterprise integration capabilities. This role provides strategic technical leadership for Azure-based application, infrastructure, data, analytics, machine learning, and integration platforms. The Sr. Engineer establishes engineering standards, platform architectures, automation frameworks, governance controls, and operational best practices that enable secure, scalable, highly available, and cost-effective technology solutions across the enterprise. Operating in an Azure-first, Terraform-driven environment, the Sr. Engineer serves as a subject matter expert for cloud-native architecture, platform engineering, Infrastructure-as-Code, Kubernetes, enterprise integrations, API enablement, data platform automation, and intelligent automation solutions. The role is responsible for defining reusable platform patterns, driving modernization initiatives, mentoring engineers, and ensuring alignment with enterprise architecture, cybersecurity, compliance, and operational objectives.

The Sr. Engineer, Development Operations partners closely with software engineering, data engineering, analytics, security, infrastructure, architecture, and business stakeholders to deliver enterprise-scale automation, interoperability, observability, resiliency, and platform maturity while accelerating software delivery and business innovation.

Responsibilities

How do I make an impact on my team?

• Serve as the senior technical authority for DevOps, Platform Engineering, Infrastructure-as-Code, CI/CD, DataOps, MLOps, and cloud automation practices.
• Define and maintain enterprise standards, reference architectures, reusable patterns, and governance frameworks for Azure cloud platforms and software delivery pipelines.
• Lead architecture reviews for cloud infrastructure, deployment automation, platform services, integrations, and enterprise modernization initiatives.
• Provide technical leadership and mentorship to software engineers, cloud engineers, DevOps engineers, and data engineers on cloud-native engineering practices.
• Establish and govern Infrastructure-as-Code standards, Terraform module strategy, pipeline standards, branching strategies, and release management processes across the organization.
• Drive adoption of platform engineering principles, self-service infrastructure, internal developer platforms, and automation-first operating models.
• Lead cloud platform modernization initiatives, application modernization efforts, migration programs, and operational transformation projects.
• Partner with Enterprise Architecture and Security teams to ensure cloud platforms align with cybersecurity, compliance, governance, and resiliency requirements.
• Define observability standards, SLOs, SLIs, operational metrics, and platform reliability objectives.
• Lead root cause analysis efforts for critical incidents and establish corrective actions to improve platform resilience and operational maturity.
• Evaluate emerging technologies, cloud-native services, AI-enabled automation platforms, and engineering tools to improve delivery capabilities and reduce operational complexity.
• Participate in technology roadmap development and provide recommendations regarding platform investments, automation opportunities, cloud strategy, and engineering best practices.
• Act as the highest level technical escalation point for complex platform, integration, automation, infrastructure, deployment, and cloud engineering issues.
• Support vendor evaluations, architecture reviews, proof-of-concepts, and technical due diligence activities.
• 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.

Qualifications

What our team expects from you?

• Education: Bachelor’s degree or equivalent work experience required.

• Certification/Licenses: Certifications such as Microsoft Certified DevOps Engineer Expert, Azure Solutions Architect Expert, or Azure Security Engineer Associate preferred.

• Experience:
  • 8+ years of experience in DevOps, Platform Engineering, Cloud Engineering, Site Reliability Engineering (SRE), or related disciplines, including at least 5 years of hands-on experience designing, implementing, and supporting Azure cloud solutions in enterprise environments required.
  • Demonstrated experience leading cloud modernization, platform engineering, Infrastructure-as-Code (IaC), DevSecOps, CI/CD automation, operational excellence, and cloud transformation initiatives required.
  • Advanced expertise with Azure DevOps, GitHub Actions, Terraform, Bicep, ARM templates, Azure CLI, and enterprise CI/CD architectures supporting application, infrastructure, API, data, and machine learning deployments required.
  • Experience supporting automation, CI/CD, infrastructure, and deployment patterns for AI, machine learning, generative AI, Azure OpenAI, Azure Machine Learning, Databricks ML, MLflow, and related AI platform operations preferred.
  • Experience designing, implementing