Cloud Engineer

Additional responsibilities include:-
• 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 data service components and engineering solutions using cloud-native services and technologies.
• Develop data lakes and CDC services to create cohesive applications within cloud and hybrid infrastructures.
• 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 cross-functional teams to understand change requirements, provide technical expertise, and ensure solutions align with business needs.

 

Qualifications include:-
• Expertise in developing AWS full stack applications: Translate business requirements into fully tested applications workflows by designing, implementing, and maintaining technology assets using approved tools and plugins for AWS for python.
• Proficiency in data services orchestrion: Strong proficiency in cloud platforms, leveraging native cloud services data orchestration solution.
• API Development: Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway.
• Cloud Networking and Security: Understanding of cloud networking concepts including VPCs, subnets, security groups and cloud security best practices, including identity and access management (IAM). Securing application through role-based authorization, single sign on, and 
• Cognito. for user and access management from Data services API and products
• Serverless Computing: Experience with serverless computing concepts, event-driven architecture, and serverless platforms.
• 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 including NodeJS and Python.
• Monitoring and Logging: 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 including AWS Code Pipeline and GitHub.
• End-User Training and Support: Provide support and training to end-users for improved solution literacy and tool usage in a cloud ecosystem.
• Business Process Automation: Analyze business process life cycles to identify opportunities for automation and simplification, implementing appropriate solutions.
• Collaboration and Communication: Collaborate with product and business owners to deliver robust cloud-based solutions, demonstrating excellent communication skills (both written and verbal).
• Compliance: Adhere to all policies and procedures of the Agency.

Additional Considerations:-
AWS Data Engineer Associate and Solution architect Professional Certification is desired.