AWS full stack Developer - Primarily remote

Title: AWS full stack Developer - Primarily remote

Location: Richmond, VA, USA

Length: Long term

Restriction: W2 or C2C

Description:

** **Long term***Remote***Web Cam Interview Only*** Must pick up laptop in person and visit onsite if needed

The Full Stack Developer will engage in a broad range of tasks related to the development, deployment, and maintenance of cloud based infrastructure and applications. Responsibilities include enabling collaboration, automation, and efficiency in the development of cloud based micro frontend applications, thereby facilitating the rapid delivery of high quality software and services to customers.

This position requires technical proficiency in AWS cloud development with Data engineering skills including glue, Athena, RDS, Snowflake Integrations, ELT&ETLs etc., adherence to software engineering best practices, and alignment with the agency’s technical direction & data policies. Additionally, the role involves collaboration with teams on leveraging the possibilities of common components and technology solutions to ensure successful adoption and implementation.

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

Coginto . for user and access management from Data services API and products

Serverless Computing: Experience with serverless computing concepts, event Bdriven 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 CodePipeline 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.

Required Skills:

Command on Python languages and experience working with data platform like Data bricks 10 Years

Knowledge of data lake and hands on experience building data lake in cloud. 10 Years

Strong proficiency in cloud platforms, leveraging native cloud services for micro front end orchestration solution. 8 Years

Expertise in designing, developing, and maintaining APIs specifically tailored for cloud environments including AWS API Gateway. 8 Years

Understanding of cloud networking concepts including VPCs, security groups and cloud security best practices, including identity and IAM. 8 Years

Data Engineering in AWS including Glue, Athena and related service experience. 8 Years

Experience with serverless computing concepts, event driven architecture, and serverless platforms. 8 Years

Expert in AWS full stack development with node.js and React, creating tested workflows from business requirements. 6 Years

Ability to write scripts and automate tasks using scripting languages including NodeJS and Python. 8 Years

Highly Desired Skills:

Experience in setting up alerts, dashboards, and logs for cloud infrastructure and applications. 8 Years

Strong understanding of DevOps practices, including developing and optimizing CI/CD pipelines, version control, and collaboration tools 8 Years

AWS Solution architect Professional Certification is desired.