Job Title:Cloud Solution Architect 4 (Data EcoSystem) (761245)
Client: Department of Behavioral Health and Developmental Services (DBHDS)
Location: Bank Street Richmond VA
ABOUT THE ROLE
The Department of Behavioral Health and Developmental Services (DBHDS) is seeking a highly skilled Cloud Solution Architect with advanced expertise in solution development to support a modern cloudbased ecosystem. This role involves implementing technology solutions that enhance business decisionmaking and processes across all business units in alignment with the agencys architectural roadmap and enterprise goals.
Additional responsibilities include:
- Hands on solution development on AWS cloud and integrating with various internal and external applications.
- Collaborate with stakeholders to understand business requirements and convert them into actionable solution components aligned with DBHDS s Enterprise Solution architecture patterns procedures and policies.
- Design and develop scalable resilient cloud solution architectures and engineering solutions using cloudnative services and technologies.
- Develop frontend components and backend services to create cohesive applications within cloud and hybrid infrastructures using AWS.
- Create comprehensive solution documentation detailing the design testing and production support processes and procedures.
- Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate updates and feature deployments.
- Ensure solution completeness through thorough testing and quality assurance processes ensuring compliance with security policies and best practices.
- Manage configuration drift and ensure consistency across different environments using tools like AWS Code Build/Deploy and AWS CloudFormation.
- Apply DevOps principles to streamline the software development lifecycle (SDLC) and enhance automation.
- Deploy solutions to various environments establish monitoring processes and ensure ongoing operational stability and application resiliency through system stress testing and feature enhancements.
- Collaborate with crossfunctional teams to understand change requirements provide technical expertise and ensure solutions align with business needs.
- Identify opportunities for innovation and process improvement to enhance solution efficiency scalability and reliability.
Qualifications include:
- Expertise in Cloud Solutions: Translate business requirements into fully tested solution workflows by designing implementing and maintaining technology assets using approved tools for both cloud (e.g. AWS Azure) and onpremises environments.
- Proficiency in Cloud Platforms: Strong proficiency in cloud platforms leveraging native cloud services for solution engineering.
- API Development: Expertise in designing developing and maintaining APIs specifically tailored for cloud environments (e.g. AWS API Gateway).
- Cloud Networking and Security: Understanding of cloud networking concepts (e.g. VPCs subnets security groups) and cloud security best practices including identity and access management (IAM).
- Containerization and Orchestration: Experience with containerization technologies (e.g. Docker) and orchestration platforms (e.g. Kubernetes).
- Serverless Computing: Experience with serverless computing concepts eventdriven architecture and serverless platforms (e.g. AWS Lambda).
- Infrastructure as Code (IaC): Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform.
- Scripting and Automation: Ability to write scripts and automate tasks using scripting languages (e.g. Python )
- Building Monitoring and Logging Solutions: Experience in setting up alerts dashboards and logs for cloud infrastructure and applications.
- devOps Practices: Strong understanding of DevOps practices including developing and optimizing CI/CD pipelines version control and collaboration tools (e.g. AWS CodePipeline).
- Compliance: Adhere to all policies and procedures of the Agency.
Additional Considerations:
- Candidates should possess advance level of expertise and showcase experience in cloud architecture and software engineering skills (ex: API Development Algorithm design) Scripting (preferably python/NodeJS) Serverless computing Containerization and Orchestration DevOps for pipelines.
- Experience building products in a modern cloud ecosystem is crucial.
- The role demands refined communication and training skills and the ability to collaborate effectively across diverse teams.
- Building rapport and relationships with peers and endusers is vital as is the ability to interface amicably with business partners showcasing an understanding of the business process that agency supports is crucial.
- Analytical mindset and problemsolving skills to troubleshoot issues optimize processes and implement automation solutions will enable the role to create an immediate impact.
"If you are: bright motivated skilled a differencemaker able to get things done work with minimum direction enthusiastic a thinker able to juggle and multitask communicate effectively and lead then we would like to hear from you. We need exceptionally capable people for this role for our client so get back to us and tell us why you think you are a fit."
About Us:
Expertise in Cloud Solutions: Translate business requirements into fully tested solution workflows by designing, implementing, and maintaining technology assets using approved tools for both cloud (e.g., AWS, Azure) and on-premises environments. Proficiency in Cloud Platforms: Strong proficiency in cloud platforms, leveraging native cloud services for solution engineering. API Development: Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments (e.g., AWS API Gateway). Cloud Networking and Security: Understanding of cloud networking concepts (e.g., VPCs, subnets, security groups) and cloud security best practices, including identity and access management (IAM). Containerization and Orchestration: Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). Serverless Computing: Experience with serverless computing concepts, event-driven architecture, and serverless platforms (e.g., AWS Lambda). Infrastructure as Code (IaC): Automate the provisioning and management of cloud infrastructure using tools like AWS CloudFormation and Terraform. Scripting and Automation: Ability to write scripts and automate tasks using scripting languages (e.g., Python, ) Building Monitoring and Logging Solutions: Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications. devOps Practices: Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools (e.g., AWS CodePipeline).
Education
Bachelor's degree in Business Administration, Computer Science, or a related field.