Cloud Software Engineer II

Job Description

Job Description

Job Description:

 

Quevera is seeking a Cloud Software Engineer II  to join our team. At Quevera, we don’t just offer jobs—we provide opportunities to be part of a dynamic, forward-thinking community that fosters innovation, collaboration, and personal growth. You’ll work with industry experts, take on exciting challenges, and have the creative freedom to build cutting-edge solutions, all while advancing your career in a space that truly values your skills and ideas.

HIGHLIGHT'S OF WORKING FOR QUEVERA:

Quevera employees voted Quevera as a TOP EMPLOYER in the Baltimore /DC area by the Washington for 2025 for the 5th consecutive year!

Excellent Quevera's Benefits:

Medical/Dental/Vision (100% Employer Paid Medical Plan )

Short/Long Term Disability (Employer Paid)

Life Insurance ( Employer Paid )

Yearly $5,000 towards education/training/certification.

Employees are in control of their career path through our Career Pathway Program .

Employer paid Company Vacation Package for you and a guest !

Retirement:

Quevera will match up to 6% towards your 401K and an additional 4% profit sharing!

REQUIRED - MUST have a current TS/SCI Polygraph clearance to apply for role. Only those with a current TS/SCI with Poly clearance will be considered.

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

Required Experience:

-TS/SCI with CI Poly required with current Springfield, VA customer eligibility and SBU/SECNet/COE accounts
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

Desired Experience:

-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