Senior Full Stack developer - Data Engineering Focused jobs in United States
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QUANTALEAP · 1 month ago

Senior Full Stack developer - Data Engineering Focused

QUANTALEAP is seeking a highly skilled Senior Full Stack Developer with a focus on Data Engineering. The role involves developing AWS/React/NodeJS micro frontend applications and APIs to enhance business decision-making and processes across all units, while ensuring adherence to best practices and collaboration with cross-functional teams.

Information Technology & Services

Responsibilities

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

Qualification

AWS full stack developmentAPI DevelopmentData services orchestrationInfrastructure as CodeCloud NetworkingSecurityServerless ComputingScriptingAutomationDevOps PracticesEnd-User TrainingSupportBusiness Process AutomationComplianceMonitoringLoggingCollaborationCommunication

Required

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 orchestration: 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 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

Preferred

AWS Data Engineer Associate and Solution architect Professional Certification is desired

Company

QUANTALEAP

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Quantaleap empowers Enterprises with cutting-edge AI solutions that drive measurable impact and long-term value.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase