Cloud Software Engineer II

Quevera LLCHerndon, VA
Onsite

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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

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