Initiate Government Solutions, LLC.

Software Engineer

• Designing, building, and optimizing data systems and solutions that support VA Health Connect’s mission
• Architecting robust data pipelines, integrating diverse data sources, and ensuring the scalability, security, and reliability of data platforms
• Collaborating with project managers, delivery teams, and clients to deliver high-quality data infrastructure, enable advanced analytics, and support data-driven decision-making across the organization
• Designing, developing, and maintaining scalable data architectures and pipelines using both traditional and AWS cloud-native services (e.g., RDS, Aurora, DynamoDB, Redshift, Glue, EMR, Lambda, S3, Athena)
• Integrating data from multiple healthcare and call center systems, ensuring seamless data flow, interoperability, and optimized AWS ETL pipelines
• Building, optimizing, and managing ETL (Extract, Transform, Load) processes leveraging AWS Glue, Step Functions, and Lambda for efficient data ingestion, transformation, and storage
• Developing, configuring, and maintaining databases, AWS data warehouses, and data lakes (e.g., Redshift, S3, Lake Formation), ensuring data integrity, security, and performance
• Implementing and enforcing data governance, quality assurance, and compliance standards across all data platforms, including cloud-based systems
• Collaborating with analysts and business stakeholders to define data requirements and deliver solutions that enable reporting and analytics, including BI integration with AWS QuickSight or external visualization platforms
• Developing and deploying APIs and secure data services to enable cross-platform access to enterprise data assets
• Monitoring, troubleshooting, and resolving data-related issues, proactively identifying opportunities for cloud cost optimization and performance improvements
• Documenting data architecture, data flows, technical specifications, and cloud environment configurations
• Staying current with emerging technologies and best practices in cloud data engineering, AWS services, and advanced analytics
• Participating in project meetings, workshops, and stakeholder presentations as a technical subject matter expert
• Providing technical leadership and mentorship to junior engineers, fostering collaboration, knowledge sharing, and adherence to best practices
• Leading or contributing to strategic data initiatives, ensuring project delivery aligns with organizational objectives and timelines

Data Developer, Architect

Product Manager

• Remote Product Manager to lead development and delivery of API platforms and integration technologies for the Department of Veterans Affairs
• Work remotely daily and remotely access VA systems using approved VA provided communications systems; travel not required but may attend onsite client meetings as requested
• Design, develop, and support API solutions that empower veterans, partners, and internal stakeholders to access information and services efficiently
• Collaborate with cross-functional teams including product managers, engineers, security specialists, and business analysts to deliver high-quality API products
• Define and communicate product vision, strategy, and roadmap aligned with business objectives and stakeholder needs
• Gather, document, and prioritize functional and non-functional requirements with business units and technical teams
• Plan, coordinate, and oversee end-to-end delivery of product initiatives ensuring delivery on time, within scope, and within budget
• Maintain and prioritize the product backlog ensuring clear definition and acceptance criteria for user stories and features
• Identify, assess, and mitigate risks related to product stability, security, and delivery timelines
• Establish and track KPIs to measure product adoption, reliability, and business impact
• Drive ongoing enhancements based on user feedback, analytics, and emerging technology trends
• Ensure comprehensive documentation of product features, processes, and architecture for technical and non-technical audiences
• Ensure platform adheres to security, privacy, and regulatory requirements
• Manage and mentor a small team of product managers fostering collaboration and professional growth
• Contribute to program mission of modernizing VA data access and improving veteran experiences

Backend Engineer

• Design scalable, secure, and highly available cloud database solutions
• Choose appropriate database types (relational, NoSQL, etc.) and develop data models and schema designs
• Provision and configure cloud database instances (e.g., Amazon RDS, Azure SQL, Oracle Autonomous DB)
• Migrate on-premises databases to the cloud, ensuring data integrity and minimal downtime
• Plan and execute database upgrades
• Monitor database performance and identify/resolve bottlenecks; implement indexing, partitioning, and caching strategies
• Implement access controls, encryption, auditing, and ensure compliance with data protection regulations
• Set up automated backups and disaster recovery; configure replication, failover, and clustering
• Automate database provisioning and routine maintenance using Terraform, CloudFormation, scripting
• Collaborate with developers, DevOps, security specialists, product managers, and business analysts
• Troubleshoot database-related issues, provide technical support, and document environments and procedures
• Monitor and optimize database resource usage and recommend cost-saving measures
• Contribute to API solutions and platform management to improve veteran access to VA data and services

Database Engineer

Risk

• Design, implement, and maintain governance models, policies, and procedures for the Lighthouse Public API Platform
• Define standards for API design, documentation, publishing, and lifecycle management
• Create and update comprehensive documentation covering API usage, access control, versioning, data privacy, security, and lifecycle governance
• Implement robust authentication and authorization mechanisms
• Manage API keys, tokens, and user roles to ensure secure access
• Collaborate with VA leadership, technical teams, legal, and external partners to align governance strategies with organizational goals
• Communicate governance requirements and updates to stakeholders
• Maintain up-to-date documentation of governance policies and procedures
• Develop and deliver training materials for API consumers and internal teams
• Monitor emerging trends, technologies, and regulatory changes to recommend updates to governance frameworks and ensure ongoing compliance and relevance

Governance Subject Matter Expert

• Define and document API specifications, endpoints, data models, and protocols (REST, GraphQL) using tools like OpenAPI
• Build and implement APIs using programming languages and frameworks such as Java (Spring Boot/Spring Batch), Python, Ruby, and .NET
• Ensure seamless integration of APIs with internal systems, external applications, and third-party services
• Write unit, integration, and end-to-end tests for APIs; debug and resolve issues to ensure reliability and performance
• Implement authentication, authorization, encryption, and other security best practices to protect data and services
• Monitor and optimize API performance, scalability, and reliability using tools like Jaeger, OpenTracing, and GitHub Actions
• Manage API versions and ensure backward compatibility as APIs evolve
• Collaborate with product managers, engineers, security specialists, business analysts, front-end and back-end developers, architects, and QA engineers
• Create and maintain clear, comprehensive documentation for API consumers and provide ongoing support and enhancements
• Support the program mission to modernize and streamline access to VA data and services, improving veteran experiences
• Work remotely daily and remotely access VA systems; may attend onsite client meetings as requested

API Developer

• Design, develop, and maintain scalable data architectures and pipelines to support clinical and operational data needs
• Integrate data from multiple healthcare and call center systems, ensuring seamless data flow and interoperability
• Build and optimize ETL (Extract, Transform, Load) processes for efficient data ingestion, transformation, and storage
• Develop and maintain databases, data warehouses, and data lakes, ensuring data integrity, security, and performance
• Implement data governance, quality assurance, and compliance standards across all data platforms
• Collaborate with analysts and business stakeholders to define data requirements and deliver solutions that enable reporting and analytics
• Develop and deploy APIs and data services to enable secure access to data assets
• Monitor, troubleshoot, and resolve data-related issues, proactively identifying opportunities for system improvements
• Document data architecture, data flows, and technical specifications
• Stay current with emerging technologies and best practices in data engineering, architecture, and cloud platforms
• Participate in project meetings, workshops, and stakeholder presentations as a technical subject matter expert
• This is a remote access assignment; Hybrid if in the DC Metro Area. Candidate will work remotely daily and will remotely access VA systems and therein use approved VA provided communications systems
• Travel is not required; however, the candidate may be required to attend onsite client meetings as requested

Data Developer / Architect

DevOps Engineer

• Design, develop, and support API solutions to modernize and streamline access to VA data and services
• Collaborate with cross-functional teams (product managers, engineers, security specialists, business analysts) to deliver high-quality API products
• Design, implement, and maintain CI/CD pipelines using GitHub Actions, Argo, and other automation tools
• Automate build, test, and deployment processes to ensure rapid and reliable software releases
• Use Infrastructure as Code (Terraform, Ansible, or CloudFormation) to automate infrastructure provisioning and enforce policy-driven engineering
• Set up and manage monitoring and observability tools (Datadog, Jaeger, Kiali, Dynatrace) and implement alerting systems
• Deploy and manage applications on cloud platforms (AWS, Azure) or on-premises servers and optimize resource usage
• Integrate security checks into CI/CD pipelines and ensure compliance with organizational and regulatory standards
• Write automation scripts (Bash, Python, PowerShell) to automate repetitive tasks and custom solutions
• Implement backup strategies and disaster recovery plans and regularly test recovery procedures
• Monitor application and infrastructure performance, identify bottlenecks, and recommend improvements
• Deploy and manage containerized applications using Docker, Kubernetes, EKS, and Helm; utilize ACK to manage AWS services via Kubernetes
• Integrate Istio for service mesh capabilities and maintain developer portals using Backstage.io
• Align with and support VA Lighthouse technical infrastructure, tools, and compliance requirements

Data Engineer

• Design scalable, secure, and highly available data architecture across cloud platforms
• Develop conceptual, logical, and physical data models to support application and analytics needs
• Architect and implement cloud-native data solutions using services such as Amazon RDS, DynamoDB, MongoDB, Azure SQL, and Oracle Autonomous DB
• Support data migration from on-premises to cloud environments
• Collaborate with pipeline engineers to define data flow architectures and integration strategies
• Ensure seamless ingestion, transformation, and delivery of structured and unstructured data
• Monitor and optimize database and data pipeline performance; implement indexing, partitioning, caching, and clustering strategies
• Define and enforce data governance policies and ensure compliance with HIPAA, FISMA, NIST, and FedRAMP
• Oversee encryption, access control, and auditing mechanisms
• Support automation of data infrastructure using Terraform, CloudFormation, and CI/CD tools and collaborate with DevOps teams
• Work closely with developers, analysts, product managers, security specialists, and business stakeholders to align data architecture with business goals
• Document data models, architecture decisions, and operational procedures
• Stay current with emerging data technologies and recommend improvements to existing data platforms and architecture
• Contribute to VA Lighthouse API program: design, develop, and support API solutions that empower veterans, partners, and internal stakeholders

Data Architect

Full-stack Engineer

• Lead the design and architecture of AWS cloud solutions and make strategic decisions on cloud tools, frameworks, and platforms
• Establish and enforce technical standards and best practices for cloud adoption
• Oversee end-to-end delivery of cloud projects from planning through deployment ensuring scalability, security, and cost-effectiveness
• Review and approve technical deliverables and documentation
• Mentor and guide cloud engineers, developers, and architects; assign tasks, conduct code reviews, and provide technical feedback
• Translate business requirements into technical solutions and communicate complex technical concepts to non-technical stakeholders
• Collaborate with product managers, engineers, security specialists, and business analysts to deliver API products aligned with federal standards and VA objectives
• Implement governance frameworks and cloud policies; ensure compliance with security standards and regulatory requirements
• Oversee identity and access management, data protection, and monitoring
• Stay current with emerging cloud technologies and trends; recommend improvements and drive automation and DevOps practices
• Design, develop, and support API solutions that empower veterans, partners, and internal stakeholders to access critical information and services efficiently

Cloud Technical Lead

• Build data engineering pipelines to support data ingestion, data conditioning/cleansing, and data integration/aggregation to enable use case and data product development
• Configure data analytics processes to integrate data from various VA systems into Customer Experience Insights (CXI) data warehouse
• Implement systems integration use cases to enable seamless data exchange among various VA systems
• Engage with data scientists, data analysts, and data stewards to understand the functional and technical data integration and management requirements; develop technical specifications to illustrate/capture the requirements
• Develop automated scripts for data extraction, conditioning, and integration of large data sets into actionable insights for informed client decision-making – and maintain developed models
• Support ad-hoc data analytics requests by quickly understanding requirements and mapping those requirements to data attributes; deliver ad-hoc data reports based on client reporting specifications
• Support data analytic product capabilities by studying information needs specific to the client; conferring with users; and following a hybrid agile software development lifecycle