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HomeCompaniesCareers Navitus Icims ComEngineer, Development Operations - Archimedes

Engineer, Development Operations - Archimedes

Careers Navitus Icims Com · UNAVAILABLE, UNAVAILABLE, US · Remote · Active · iCIMS

Job facts

FieldValue
CompanyCareers Navitus Icims Com
TitleEngineer, Development Operations - Archimedes
Normalized title-
Department / teamArchimedes
LocationUNAVAILABLE, UNAVAILABLE, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2026-06-16 / 2026-06-17
Changed / last seen2026-06-19 / 2026-06-20

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Company breakdownsRole, location, ATS, and work model facets for this company.Open
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Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in UNAVAILABLE.Open
Department jobsActive postings in Archimedes.Open
Work model jobsActive Remote postings.Open
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Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Navitus Icims Com
Source1ed1b35a-f54c-4300-a61c-0fe2e51eb92d
ATS provideriCIMS

Description

Company Archimedes About Us Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit – alignment, value and transparency – Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities.________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap. 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, Utah, Vermont, Washington, West Virginia, And Wyoming. 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 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. Is this you? Find out more below! Responsibilities How do I make an impact on my team? 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: 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. 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. 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. 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. Skills & Technologies: CI/CD: Azure DevOps (Pipelines, Repos, Artifacts), GitHub Actions IaC & Provisioning: Terraform, Bicep, ARM, Azure CLI, PowerShell Containers & Orchestration: Docker, Kubernetes (AKS), Helm, ACR Monitoring & Logging: Azure Monitor, Application Insights, Log Analytics, KQL Security & IAM: Azure Key Vault, RBAC, Defender for Cloud, Managed Identities, PIM Networking & Infrastructure: VNETs, NSGs, Application Gateway, Load Balancer, Private Link Automation & Scripting: PowerShell, Python, Bash DataOps & Lakehouse Support: Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, Synapse Analytics, Event Hub, Event Grid AI, ML & MLOps Support: Azure Machine Learning, Azure OpenAI, Databricks ML, MLflow, Model Deployment Automation, AI Platform Operations ITSM Ticketing: Jira Service Management, Change Control, Incident RCA Version Control: Git (Azure Repos, GitHub) What can you expect from Archimedes? Top of the industry benefits for Health, Dental, and Vision insurance 20 days paid time off 4 weeks paid parental leave 9 paid holidays 401K company match of up to 5% - No vesting requirement Adoption Assistance Program Flexible Spending Account Educational Assistance Plan and Professional Membership assistance Referral Bonus Program – up to $750! Location : Address Remote Location : Country US

Full job record

Job IDb55201ed0f961357bfa5cf219591719ce273f117
Org ID5c7fa0fe-2bb1-4664-a7ed-1f1e991885f1
Source ID1ed1b35a-f54c-4300-a61c-0fe2e51eb92d
Board ID1ed1b35a-f54c-4300-a61c-0fe2e51eb92d
Providericims
Provider Job Key6174
TitleEngineer, Development Operations - Archimedes
Normalized Title
Statusactive
Activeyes
Location TextUNAVAILABLE, UNAVAILABLE, US
DepartmentArchimedes
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionUNAVAILABLE
CityUNAVAILABLE
Salary RawCompany Archimedes About Us Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit – alignment, value and transparency – Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities.________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap. 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, Utah, Vermont, Washington, West Virginia, And Wyoming. 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 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. Is this you? Find out more below! Responsibilities How do I make an impact on my team? 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: 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. 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. 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. 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. Skills & Technologies: CI/CD: Azure DevOps (Pipelines, Repos, Artifacts), GitHub Actions IaC & Provisioning: Terraform, Bicep, ARM, Azure CLI, PowerShell Containers & Orchestration: Docker, Kubernetes (AKS), Helm, ACR Monitoring & Logging: Azure Monitor, Application Insights, Log Analytics, KQL Security & IAM: Azure Key Vault, RBAC, Defender for Cloud, Managed Identities, PIM Networking & Infrastructure: VNETs, NSGs, Application Gateway, Load Balancer, Private Link Automation & Scripting: PowerShell, Python, Bash DataOps & Lakehouse Support: Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, Synapse Analytics, Event Hub, Event Grid AI, ML & MLOps Support: Azure Machine Learning, Azure OpenAI, Databricks ML, MLflow, Model Deployment Automation, AI Platform Operations ITSM Ticketing: Jira Service Management, Change Control, Incident RCA Version Control: Git (Azure Repos, GitHub) What can you expect from Archimedes? Top of the industry benefits for Health, Dental, and Vision insurance 20 days paid time off 4 weeks paid parental leave 9 paid holidays 401K company match of up to 5% - No vesting requirement Adoption Assistance Program Flexible Spending Account Educational Assistance Plan and Professional Membership assistance Referral Bonus Program – up to $750! Location : Address Remote Location : Country US
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Source URLhttps://careers-navitus.icims.com/jobs/6174/engineer%2c-development-operations---archimedes/job
Apply URLhttps://careers-navitus.icims.com/jobs/6174/engineer%2c-development-operations---archimedes/job
First Seen At2026-06-17 08:18:25Z
Last Seen At2026-06-20 08:17:59Z
Last Checked At2026-06-20 08:17:59Z
Last Changed At2026-06-19 08:16:05Z
Inactive At
Source Posted At2026-06-16 04:00:00Z
Source Updated At2026-06-16 14:55:03Z
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    "description": "<h2>Company</h2>Archimedes\n<h2>About Us</h2>Archimedes - Transforming the Specialty Drug Benefit - Archimedes is the industry leader in specialty drug management solutions. Founded with the goal of transforming the PBM industry to provide the necessary ingredients for the sustainability of the prescription drug benefit – alignment, value and transparency – Archimedes achieves superior results for clients by eliminating tightly held PBM conflicts of interest including drug spread, rebate retention and pharmacy ownership and delivering the most rigorous clinical management at the lowest net cost. .____________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________. 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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.\n<h2>Pay Range</h2>USD $0.00 - USD $0.00 /Yr.\n<h2>STAR Bonus % (At Risk Maximum)</h2>0.00 - Ineligible\n<h2>Work Schedule Description (e.g. M-F 8am to 5pm)</h2>Core Business Hours- Remote or Hybrid 3 Days in Office from our St. Louis, MO or Brentwood, TN offices\n<h2>Remote Work Notification</h2>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, Utah, Vermont, Washington, West Virginia, And Wyoming.\n<h2>Overview</h2>\n<p>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.</p>\n<p> </p>\n<p>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.</p>\n<p> </p>\n<p>Is this you? Find out more below!</p>\n<h2>Responsibilities</h2>\n<p><strong>How do I make an impact on my team?</strong></p>\n<ul>\n <li>Collaborate closely with application development teams to optimize build, test, release, and deployment workflows, reducing cycle time and increasing release frequency.</li>\n <li>Architect, implement, and optimize multi-stage CI/CD pipelines using Azure DevOps, YAML, environments, templates, deployment groups, release gates, and GitHub Actions.</li>\n <li>Build and maintain CI/CD pipelines supporting applications, APIs, microservices, infrastructure, data pipelines, Databricks workloads, analytics platforms, and machine learning deployments.</li>\n <li>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.</li>\n <li>Develop reusable Terraform modules, Bicep templates, ARM templates, shared pipeline templates, and platform blueprints to standardize deployment patterns across environments.</li>\n <li>Automate infrastructure provisioning using Terraform, Bicep, ARM templates, Azure CLI, and PowerShell, enforcing modular reusable patterns, policy-as-code, and enterprise guardrails.</li>\n <li>Implement policy-as-code, compliance-as-code, and governance automation using Azure Policy, Management Groups, RBAC, Defender for Cloud, and related Azure governance capabilities.</li>\n <li>Manage and optimize package repositories including Azure Artifacts, GitHub Packages, NuGet, and npm, ensuring artifact integrity, traceability, and lifecycle control.</li>\n <li>Support IT governance of the code release lifecycle, including semantic versioning, automated tagging, changelog generation, approval workflows, and deployment auditability.</li>\n <li>Evaluate, integrate, and manage the DevOps toolchain, including build servers, artifact repositories, dependency scanners, secrets managers, testing tools, and security scanning tools.</li>\n <li>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.</li>\n <li>Design, implement, and support enterprise integration patterns utilizing REST APIs, GraphQL APIs, SOAP services, webhooks, message queues, event-driven architecture, and managed integration services.</li>\n <li>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.</li>\n <li>Support integrations between SaaS platforms, internal applications, third-party vendors, cloud services, data platforms, automation tools, and enterprise systems.</li>\n <li>Partner with software engineering teams to establish API lifecycle management, API security controls, automated testing, monitoring, and deployment patterns.</li>\n <li>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.</li>\n <li>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.</li>\n <li>Build and maintain automated deployment pipelines for Databricks workspaces, notebooks, jobs, clusters, Unity Catalog, libraries, data products, and supporting cloud infrastructure.</li>\n <li>Enable infrastructure and DevOps support for machine learning, ETL, analytics, data lake, and lakehouse environments, ensuring secure service access, RBAC, observability, and cost controls.</li>\n <li>Support MLOps platform capabilities, including model training, validation, deployment, monitoring, model registry integration, and governance automation.</li>\n <li>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.</li>\n <li>Support enterprise automation initiatives utilizing robotic process automation, workflow orchestration, AI-powered automation, and low-code/no-code automation platforms.</li>\n <li>Support integrations with automation platforms such as Microsoft Power Automate, Azure Logic Apps, UiPath, Automation Anywhere, and similar technologies.</li>\n <li>Use pipeline analytics and deployment telemetry to identify bottlenecks, reduce build/test times, improve developer feedback loops, and increase delivery reliability.</li>\n <li>Enable full-stack observability using Azure Monitor, Log Analytics, Application Insights, KQL dashboards, SLA/SLO instrumentation, synthetic monitoring, and real-time alerting.</li>\n <li>Implement shift-left testing strategies, including unit, integration, regression, infrastructure, and performance testing automation directly within CI/CD pipelines.</li>\n <li>Apply DevSecOps practices within the CI/CD lifecycle, including SAST, DAST, secrets scanning, dependency scanning, code signing, artifact provenance validation, and container security.</li>\n <li>Integrate security tools such as Snyk, CredScan, OWASP ZAP, Aqua Security, Defender for Cloud, or similar platforms into the software delivery lifecycle.</li>\n <li>Integrate infrastructure validation into the delivery process using tools such as Pester, InSpec, Terratest, or similar testing frameworks.</li>\n <li>Lead containerization and deployment strategies using Docker, Helm, Azure Container Registry, and AKS, supporting secure cluster design, ingress, network isolation, pod security, and autoscaling.</li>\n <li>Implement blue-green, canary, and ring deployments for applications and APIs using traffic routing, feature flags, deployment slots, and progressive release practices.</li>\n <li>Build self-service platforms and reusable DevOps tooling to streamline developer onboarding, environment provisioning, service connection governance, and deployment configuration.</li>\n <li>Maintain golden pipeline templates, DevOps starter kits, Terraform modules, automation scripts, and reusable deployment patterns to standardize delivery across teams.</li>\n <li>Conduct failure mode analysis, root cause analysis, and resilience engineering using Azure Chaos Studio, Availability Zones, health probes, auto-healing logic, and operational telemetry.</li>\n <li>Maintain architectural runbooks, deployment documentation, operational SOPs, environment diagrams, and audit evidence supporting change management and compliance requirements.</li>\n <li>Support self-service enablement for developers and data teams through pipeline templates, service connection governance, shared agent pools, reusable modules, and automation frameworks.</li>\n <li>Serve as a Tier 2/3 escalation point for platform, deployment, automation, pipeline, integration, and cloud infrastructure issues.</li>\n <li>Operate within an ITSM framework, contributing to incident, change, release, and problem management practices.</li>\n <li>Use Jira Service Management to triage, track, and respond to infrastructure-related work items, automation requests, deployment support, integration requests, and platform incidents.</li>\n <li>Participate in, adhere to, and support compliance, people and culture, and learning programs.</li>\n <li>Perform other duties as assigned.</li>\n</ul>\n<h2>Qualifications</h2>\n<p><strong>What our team expects from you?</strong></p>\n<ul>\n <li><strong>Education:</strong> Bachelor’s degree or equivalent work experience required.</li>\n <li><strong>Certification/Licenses:</strong> Certifications such as Microsoft Certified DevOps Engineer Expert, Azure Solutions Architect Expert, or Azure Security Engineer Associate preferred.</li>\n <li><strong>Experience:</strong>\n  <ul>\n   <li>6+ years in DevOps, Cloud Engineering, or SRE roles with a focus on Azure required.</li>\n   <li>Advanced experience with Azure DevOps, ARM/Bicep, and Terraform for pipeline and infrastructure automation required.</li>\n   <li>Proficient in scripting with PowerShell, Bash, or Python for automation and tooling integration.</li>\n   <li>Strong knowledge of Azure-native services, including App Services, AKS, Key Vault, Load Balancers, VNETs, Application Gateway, and Azure DNS required.</li>\n   <li>Experience supporting CI/CD, automation, and deployment patterns for Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, and lakehouse environments preferred.</li>\n   <li>Familiarity with DataOps, MLOps, machine learning deployment automation, AI platform operations, and analytics engineering workflows preferred.</li>\n   <li>Exposure to Azure Machine Learning, Azure OpenAI, Databricks ML, MLflow, model registries, and automated model deployment patterns preferred.</li>\n   <li>Hands-on experience with containerization and orchestration in AKS, including networking, ingress controllers, and horizontal pod autoscaling required.</li>\n   <li>Familiarity with Azure Active Directory, RBAC, and service principals for secure identity and access management required.</li>\n   <li>Expertise in monitoring and diagnostics using Azure Monitor, Log Analytics, and Kusto Query Language (KQL) required.</li>\n   <li>Experience with Azure DevOps Extensions, Release Gates, Approval workflows, and Pipeline Security Scanning preferred.</li>\n   <li>Familiarity with serverless design patterns, event-driven architecture, and services like Azure Functions, Logic Apps, Event Grid, and Service Bus preferred.</li>\n   <li>Knowledge of compliance frameworks (HIPAA, SOC 2, ISO 27001) and Microsoft’s Cloud Adoption Framework preferred.</li>\n   <li>Skills & Technologies:\n    <ul>\n     <li>CI/CD: Azure DevOps (Pipelines, Repos, Artifacts), GitHub Actions</li>\n     <li>IaC & Provisioning: Terraform, Bicep, ARM, Azure CLI, PowerShell</li>\n     <li>Containers & Orchestration: Docker, Kubernetes (AKS), Helm, ACR</li>\n     <li>Monitoring & Logging: Azure Monitor, Application Insights, Log Analytics, KQL</li>\n     <li>Security & IAM: Azure Key Vault, RBAC, Defender for Cloud, Managed Identities, PIM</li>\n     <li>Networking & Infrastructure: VNETs, NSGs, Application Gateway, Load Balancer, Private Link</li>\n     <li>Automation & Scripting: PowerShell, Python, Bash</li>\n     <li>DataOps & Lakehouse Support: Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Unity Catalog, Synapse Analytics, Event Hub, Event Grid</li>\n     <li>AI, ML & MLOps Support: Azure Machine Learning, Azure OpenAI, Databricks ML, MLflow, Model Deployment Automation, AI Platform Operations</li>\n     <li>ITSM Ticketing: Jira Service Management, Change Control, Incident RCA</li>\n     <li>Version Control: Git (Azure Repos, GitHub)</li>\n    </ul></li>\n  </ul></li>\n</ul>\n<p> </p>\n<p><strong>What can you expect from Archimedes?</strong> </p>\n<ul>\n <li>Top of the industry benefits for Health, Dental, and Vision insurance </li>\n <li>20 days paid time off </li>\n <li>4 weeks paid parental leave </li>\n <li>9 paid holidays </li>\n <li>401K company match of up to 5% - No vesting requirement </li>\n <li>Adoption Assistance Program </li>\n <li>Flexible Spending Account </li>\n <li>Educational Assistance Plan and Professional Membership assistance </li>\n <li>Referral Bonus Program – up to $750! </li>\n</ul>\n<h2>Location : Address</h2>Remote\n<h2>Location : Country</h2>US",
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