Cloud Engineer

NewGen Technologies

Herndon, VA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

clearancejobs.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Agile Methodology Amazon Web Services Amazon S3 Business Analytics Applications Application Performance Management Big Data C Sharp (Programming Language) Cloud Computing Cloud Engineering Code Review

+72 more

Computer Programming Data as a Services Information Engineering Extract Transform Load (ETL) Data Warehousing Disaster Recovery Distributed Systems Django Web Framework Amazon DynamoDB Key Management Machine Learning MongoDB Node.Js NoSQL NumPy Open Source Technology Package Management Systems Performance Tuning Queueing Systems Prometheus Secure Coding Amazon Simple Notification Service (SNS) Software Engineering SonarQube TypeScript Management of Software Versions Web Application Frameworks Datadog AWS Cdk Data Processing ReactJS Istio System Availability Flask (Web Framework) Grafana Apache Spark Sonatype 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 Checkmarx Api Design Cloudwatch Api Gateway Amazon Simple Queue Service (SQS) Stream Processing New Relic (SaaS) Data Pipelines Dynatrace Devsecops Serverless Computing Security Orchestration, Automation & Response Amazon Redshift Databricks Vulnerability Analysis Golang Programming Languages 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

Active TS/SCI CI Poly, with current Customer eligibility and SBU/SECNet/COE accounts
DoD 8140 Compliance
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 hands-on experience with AWS CDK for Infrastructure as Code
3+ years building complex, reusable CDK constructs and stacks
3+ years implementing multi-environment deployment strategies using CDK
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
Strong problem-solving abilities with proven track record of resolving complex technical challenges

Desired Skills

4+ years of experience with Authority to Operate (ATO) processes in government environments
Implementation of NIST 800-53 controls and FedRAMP compliance requirements
Security automation and continuous compliance monitoring
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
Integration of security scanning tools (SonarQube, Snyk, Checkmarx)
Secrets management and secure coding practices
System design and architecture experience
Designing for high availability, disaster recovery, and business continuity
Performance optimization and cost management strategies
Experience with monitoring and observability tools
CloudWatch, DataDog, New Relic, or Prometheus/Grafana stacks
Distributed tracing and application performance monitoring
Leadership experience in technical environments
Leading cross-functional teams and technical initiatives
Experience with agile methodologies and project delivery
Additional programming language proficiency (Go, Java, C#)
Open source contribution history and active participation in technical communities