Senior Platform Engineer – Azure Data Platforms & DevOps

Genworth • Richmond, VA

1d • $96,700 - $145,000 • Hybrid

About The Position

At Genworth and CareScout, we're on a mission to simplify and dignify the aging experience. We're a team of curious problem-solvers, compassionate listeners, and people who care about making a difference. We value diverse perspectives and are committed to fostering an inclusive culture where every team member feels respected, supported, and empowered to bring their authentic self. Our four values guide our strategy, our decisions, and our interactions: Make it human. Make it about others. Make it happen. Make it better. If you're looking to build a meaningful career while helping transform the aging experience for millions of families, we'd love to hear from you.

Requirements

• Bachelor’s degree or similar work experience, ~5 years of experience, or a Master’s degree with ~3 years of experience.
• Strong hands-on experience designing, developing, and supporting enterprise Infrastructure-as-Code (IaC) solutions using Terraform, including reusable modules, enterprise-scale deployments, state management, policy controls, automation frameworks, and infrastructure lifecycle management.
• Deep experience with GitLab and Azure DevOps, including source control management, merge request workflows, CI/CD pipeline development, deployment automation, release management, security scanning, and DevSecOps best practices.
• Strong experience administering and supporting Microsoft Azure services and enterprise cloud platforms.
• Hands-on experience with Azure Databricks administration, Unity Catalog, workspace governance, cluster policies, identity integration, networking controls, platform security, and operational support.
• Experience supporting Confluent Kafka or Apache Kafka platforms, including cluster administration, security, monitoring, topic management, schema governance, networking, and platform operations.
• Proven experience designing and implementing automated platform provisioning, configuration management, validation, compliance enforcement, and deployment pipelines.
• Demonstrated effectiveness troubleshooting complex cloud, platform, networking, infrastructure, automation, CI/CD, and integration issues across distributed enterprise environments.
• Experience implementing monitoring, observability, alerting, incident management, operational reporting, cost optimization, and platform performance tuning capabilities.
• Working knowledge of data integration, ETL/ELT processes, event streaming, analytics platforms, cloud-native architectures, and enterprise data management concepts.
• Strong analytical, organizational, and problem-solving skills with the ability to independently manage complex technical initiatives and competing priorities.
• Strong verbal and written communication skills, including the ability to communicate technical concepts effectively to engineers, architects, security teams, leadership, and business stakeholders.

Nice To Haves

• Preferred experience with Azure Data Factory, Fivetran, Kubernetes, AI/ML platforms, FinOps practices, and regulated financial services environments.
• Relevant Azure, Databricks, Confluent Kafka, Terraform, GitLab, Azure DevOps, Kubernetes, or cloud certifications are highly desirable.

Responsibilities

• Design, implement, administer, and support enterprise Azure Databricks, Confluent Kafka, Azure Data Factory, Azure DevOps, GitLab, and related data platform services across the enterprise.
• Lead the design and development of enterprise Infrastructure-as-Code (IaC) solutions using Terraform, including reusable modules, platform blueprints, policy enforcement, environment provisioning, configuration management, and automated deployments.
• Design, implement, and continuously improve CI/CD pipelines and DevSecOps automation frameworks utilizing GitLab, Azure DevOps, Terraform, Git-based workflows, automated testing, and deployment orchestration.
• Build and maintain Azure Databricks workspaces, Unity Catalog structures, platform governance controls, cluster policies, compute standards, networking configurations, and security controls.
• Engineer and support enterprise streaming and event-driven platforms utilizing Confluent Kafka, including cluster administration, topic lifecycle management, networking, security, monitoring, schema governance, and operational support.
• Establish and enforce platform engineering standards, deployment patterns, operational best practices, and automation strategies that improve consistency, reliability, security, and supportability.
• Implement and maintain enterprise security controls including identity integration, role-based access control (RBAC), Privileged Identity Management (PIM), secrets management, network security, data protection, environment segregation, and compliance requirements.
• Partner with Architecture, Cybersecurity, and Engineering teams to define reference architectures, automation standards, governance frameworks, and platform roadmaps.
• Troubleshoot complex platform issues involving Databricks, Kafka, Terraform, GitLab pipelines, Azure DevOps pipelines, networking, authentication, infrastructure automation, performance optimization, and service integrations.
• Develop and enhance monitoring, observability, alerting, SLA reporting, operational dashboards, cost management reporting, and incident response capabilities across all supported platforms.
• Drive automation and continuous improvement initiatives that reduce manual effort, improve developer productivity, strengthen governance, and increase platform reliability.
• Create and maintain technical documentation, architecture standards, Terraform frameworks, CI/CD standards, operational runbooks, disaster recovery procedures, and implementation guidance.

Benefits

• Competitive Compensation & Total Rewards Incentives
• Comprehensive Healthcare Coverage
• Multiple 401(k) Savings Plan Options
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
• Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
• Disability, Life, and Long Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
• Caregiver and Mental Health Support Services

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree