Cloud Software Engineer

AQUA IT

Springfield, VA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

JavaScript (Programming Language) Amazon Web Services Amazon S3 Business Analytics Applications Big Data Cloud Computing Code Review Computer Programming Data as a Services Information Engineering Extract Transform Load (ETL) Data Warehousing

+51 more

Distributed Systems Django Web Framework Amazon DynamoDB Machine Learning MongoDB Node.Js NoSQL NumPy Package Management Systems Performance Tuning Queueing Systems Amazon Simple Notification Service (SNS) Software Engineering TypeScript Management of Software Versions Web Application Frameworks Web Services AWS Cdk Data Processing ReactJS Istio Flask (Web Framework) Apache Spark Backend Fastapi Vue.js Servicebus Pandas Event Driven Architecture Amazon Relational Database Service Data Lakes AI Platforms AngularJS Kubernetes Deployment Automation Data Analytics AWS Fargate Build Tools Machine Learning Operations Front End Software Development Api Design Api Gateway Amazon Simple Queue Service (SQS) Stream Processing Data Pipelines Devsecops Serverless Computing Security Orchestration, Automation & Response Amazon Redshift Databricks Microservices

Job description

Design and implement enterprise-scale cloud infrastructure using AWS CDK and Infrastructure as Code principles
Architect and develop robust microservices architectures with focus on scalability, performance, and maintainability
Build and optimize data engineering pipelines for large-scale data processing and analytics workloads
Lead full-stack development initiatives using modern JavaScript/TypeScript and Python frameworks
Implement advanced cloud-native solutions leveraging serverless architectures and event-driven patterns
Drive technical excellence through code reviews, architectural decisions, and engineering best practices
Solve complex technical challenges across distributed systems and provide innovative solutions to business problems

Requirements

Do you have experience in Web services design?, * TS/SCI required

Must be willing to work in SCIF daily or as needed
7+ years of professional software engineering experience with cloud-first development approach
5+ years of advanced Python development experience
Expertise in frameworks like FastAPI, Flask, or Django for API development
Strong experience with data processing libraries (Pandas, NumPy, Apache Spark)
Proficiency in async programming and performance optimization
5+ years of modern JavaScript/TypeScript development
3+ years with Node.js backend development and npm ecosystem
3+ years with frontend frameworks (React, Vue.js, or Angular)
Experience with modern build tools and package managers
4+ years of microservices architecture design and implementation
Event-driven architecture patterns and message queuing systems
API design, versioning, and service mesh technologies
4+ years of data engineering experience
ETL/ELT pipeline development using AWS services (Glue, EMR, Kinesis, Step Functions)
Experience with data lakes, data warehousing, and analytics platforms
Real-time data processing and streaming architectures
3+ years with AWS cloud-native services
Advanced knowledge of Lambda, API Gateway, EventBridge, SQS, SNS
Experience with data services: RDS, DynamoDB, Redshift, S3, Athena
Container orchestration with ECS, Fargate, or EKS
2+ years of hands-on experience with AWS CDK for Infrastructure as Code’
Building complex, reusable CDK constructs and stacks
Implementing multi-environment deployment strategies using CDK
Strong problem-solving abilities with proven track record of resolving complex technical challenges, * 4+ years of experience with Authority to Operate (ATO) processes in government environments
3+ years of experience with advanced data analytics and machine learning platforms AWS SageMaker, Databricks, or similar ML/AI platforms
Model deployment and MLOps pipeline development
Database expertise across multiple platforms
Performance tuning and optimization for RDS, DynamoDB, MongoDB
Data modeling for both relational and NoSQL databases
DevSecOps and security automation experience