Job description

At Genworth and CareScout, we re on a mission to simplify and dignify the aging experience. The truth is, most of us will help a parent, spouse, family member, friend, or neighbor navigate aging and care at some point in our lives. We ve been there ourselves. That s why we re building better ways to help people find, fund, and understand aging care, all while being supported every step of the way. 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. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what is best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. 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. POSITION TITLE Senior Platform Engineer – Azure Data Platforms & DevOps POSITION LOCATION Richmond, VA - A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. YOUR ROLE As a Senior Platform Engineer - Azure Databricks, Confluent Kafka & DevOps within the Enterprise Data Platform (EDP) organization, you will play a critical role in enabling modern data, analytics, and integration capabilities across the Genworth | CareScout enterprise by designing, implementing, automating, operating, and supporting the foundational platform services that power secure, scalable, reliable, and governed data products. This role focuses on engineering and operating enterprise platform capabilities including Azure Databricks, Unity Catalog, Confluent Kafka, Terraform, GitLab, Azure DevOps, Azure Data Factory, observability platforms, security controls, Infrastructure-as-Code (IaC), CI/CD pipelines, and shared data platform services . You will work closely with Architecture, Cybersecurity, Infrastructure, Service Operations, Data Engineering, Analytics, and Application Engineering teams to deliver reusable platform capabilities and automation frameworks that accelerate data modernization while maintaining enterprise standards for security, compliance, reliability, and operational excellence. You will serve as a senior technical resource responsible for defining and promoting platform engineering standards, reusable Terraform modules, automated deployment patterns, and DevSecOps best practices across the enterprise data ecosystem. A significant portion of this role is dedicated to driving automation, infrastructure standardization, self-service capabilities, and continuous delivery through GitLab and Azure DevOps. This is a team-based individual contributor role focused on platform engineering and operational excellence. You will be responsible for building and continuously improving the Azure Databricks, Confluent Kafka, Terraform, GitLab, and Azure DevOps foundation that enables application and data engineering teams to deploy, integrate, govern, monitor, and manage data workloads efficiently, securely, consistently, and through automation-first and self-service delivery models. What You Will Be Doing 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. What You Bring 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. 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. ADDITIONAL INFORMATION National Range: $96,700 -$145,000 This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • 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 This role is not eligible for employment visa sponsorship.

Requirements

Must-haves

At Genworth and CareScout, we re on a mission to simplify and dignify the aging experience.
Our four values guide our strategy, our decisions, and our interactions:
Make it human. We care about the people that make up our customers, colleagues, and communities.
Make it about others. We do what is best for our customers and collaborate to drive progress.
Make it happen. We work with intention toward a common purpose and forge ways forward together.
Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.
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.
Senior Platform Engineer – Azure Data Platforms & DevOps
Richmond, VA - A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.
What You Will Be Doing
Design, implement, administer, and support enterprise Azure Databricks, Confluent Kafka, Azure Data Factory, Azure DevOps, GitLab, and related data platform services across the enterprise.
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.
Establish and enforce platform engineering standards, deployment patterns, operational best practices, and automation strategies that improve consistency, reliability, security, and supportability.
Partner with Architecture, Cybersecurity, and Engineering teams to define reference architectures, automation standards, governance frameworks, and platform roadmaps.
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.
Bachelor’s degree or similar work experience, ~5 years of experience, or a Master’s degree with ~3 years of experience.
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.

Nice-to-haves

Preferred experience with Azure Data Factory, Fivetran, Kubernetes, AI/ML platforms, FinOps practices, and regulated financial services environments.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azureci/cdkubernetesaiml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

401(K)

Paid Time Off

Wellness