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Quevera Tech Stack

Custom software engineering for federal, defense, and public-sector agencies

IT Services and IT Consulting Columbia, Maryland 51–200 employees Founded 2013 Public Company

Quevera is a 51–200-person software engineering consultancy founded in 2013, headquartered in Columbia, Maryland, serving federal agencies, DoD, and state/local government. The tech stack reveals a heavy focus on secure cloud infrastructure (AWS, Azure, Kubernetes, sentinel/Defender) and geospatial data pipelines (Oracle, Python, ETL tooling), with emerging AI/ML depth (PyTorch, Hugging Face, Vision Transformer, LoRA)—a pattern that aligns with their active project list (cloud-native infrastructure, geospatial integration, security automation) and pain points (cloud security compliance, DoD transformation). Engineering-led hiring (43 of 63 roles) skews senior, signaling complex, mission-critical delivery rather than growth-stage scaling.

Tech Stack 188 technologies

Core StackVMware Oracle Database Python Kubernetes AWS SageMaker PyTorch Hugging Face PHP JBoss WildFly Bash AWS ECS Transformers PEFT DeepSpeed Vision Transformer CLIP LLaVA LoRA QLoRA Azure Microsoft Sentinel Microsoft Defender Microsoft Purview AWS CloudWatch AWS CloudTrail AWS GuardDuty AWS Security Hub EnCase+154 more

What Quevera Is Building

Challenges

  • Cloud security compliance
  • Compliance with federal metadata standards
  • Manual security evaluation process
  • Streamlined approvals
  • Secure high availability
  • Cloud-based transformation in complex dod environment
  • Cyber workforce development
  • Privacy compliance
  • Complex dod systems
  • Scca compliance

Active Projects

  • Automation of security evaluation and authorization process
  • Geospatial data integration pipelines
  • Secure the enterprise initiative
  • Next-generation mission applications
  • Cloud infrastructure design
  • Cloud-native infrastructure pipelines
  • Enterprise geodatabases design and maintenance
  • Geospatial web services publishing and management
  • Cloud integration of spatial data
  • Etl data migration

Hiring Activity

Accelerating65 roles · 25 in 30d

Department

Engineering
43
Ops
7
Security
6
Data
4
Support
3

Seniority

Senior
38
Mid
18
Junior
6
Intern
1
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About Quevera

Quevera delivers custom software engineering services across the full development lifecycle for federal agencies, DoD, state and local governments, financial institutions, healthcare organizations, and educational institutions. The company's service areas span system administration, network engineering, database architecture, compliance and security (ISSO/ISSE roles), and data analytics. Core competencies include cloud infrastructure design (AWS, Azure, Kubernetes), geospatial data integration and publishing, secure enterprise systems, and ETL migrations. Founded by technologists and business leaders with over a century of combined government, intelligence, and corporate sector experience, the firm emphasizes listening to customer business problems before prescribing technical solutions.

HeadquartersColumbia, Maryland
Company Size51–200 employees
Founded2013
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Quevera use?

Quevera uses JBoss, WildFly, Oracle Database, Python, Kubernetes, AWS (ECS, SageMaker, CloudWatch, CloudTrail, GuardDuty, Security Hub), Azure, Microsoft Sentinel, Defender, Purview, PyTorch, Hugging Face, and digital forensics tools (EnCase) for security and compliance work.

What is Quevera working on?

Active projects include automation of security evaluation and authorization, geospatial data integration pipelines, cloud-native infrastructure design, enterprise geodatabases, and ETL data migration—reflecting their federal and defense sector focus on secure, compliant cloud transformation.

How this profile is built

Quevera's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.