Vantor

Infrastructure Engineer

• Design, configure, deploy, and administer AWS container-based environments
• Ensure security compliance through regular patching and vulnerability management
• Work with leadership in managing infrastructure lifecycle
• Act as a point of contact for troubleshooting and projects
• Provide modest-level of 24x7 on-call support of key systems
• Produce and maintain configuration and maintenance documentation

Cloud Infrastructure Engineer – Secret

Full-stack Engineer

• Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence
• Implement multi-agent workflows using modern orchestration frameworks
• Integrate state-of-the-art Large Language Models to power contextual analysis
• Engineer agents capable of dynamic tool use and structured reasoning
• Develop robust data ingestion and transformation layers
• Ensure secure, scalable integrations across cloud and enterprise environments
• Create feedback loops to iteratively improve model reliability
• Deploy and operate AI systems in production using modern DevOps practices
• Leverage AI development agents as force multipliers for software design

Software Engineer, AI Agents, Generative AI

Business Development Rep

• Develop and implement a strategy to deliver and drive adoption of new products and solutions
• Collaborate with internal stakeholders to meet annual revenue and booking quotas
• Work closely with product teams, end and operational users, to identify, assess and deliver new products in the organization

Business Development Director – New Products

Data Analyst

• Responsible for performing and developing dataset evaluations and assessments to inform government decision making.
• Shaping data engineering approaches for analytic tradecraft improvements within our applications.
• Identifying and documenting gaps within our data corpus and analytical capabilities.
• Working hand-in-hand with software developers to field requirements and provide feedback as changes are implemented into an application.

Big Data Analyst – TS/SCI

Platform Engineer

• Design, deploy, and manage Kubernetes and OpenShift clusters across cloud and/or on-prem environments
• Build and maintain CI/CD pipelines to support containerized application delivery
• Implement infrastructure as code
• Monitor platform performance, availability, and security; respond to incidents and optimize systems
• Develop and maintain platform tooling, automation, and self-service capabilities
• Collaborate with development, security, and operations teams to improve platform usability and reliability
• Ensure compliance with organizational security and governance standards
• Communicate with multidisciplinary SAFe Agile teams and articulate technical concepts and ideas effectively.

Platform Engineer, Kubernetes

DevOps Engineer

• Leverage OpenShift and Kubernetes to configure, monitor, and maintain this private cloud environment
• Create and maintain automated, repeatable environment creation and configuration (Infrastructure as Code) scripts using ansible, chef, or similar tools
• Create and maintain automated DevSecOps pipelines using leading open-source offerings, including ArgoCD, GitLab, SonarQube, Cucumber, JMeter, and Cypress.io
• Monitor, Predict, Update, and Resolve issues at all levels, from bare-metal operating systems to deployed applications
• Oversee and manage compliance to ATO accreditation needs with tuning, patching or documentation.
• Communicate with multidisciplinary SAFe Agile teams and articulate technical concepts and ideas effectively.

DevSecOps Engineer

• Design, develop, and maintain features for a big data analytics platform
• Build responsive front-end applications and scalable backend APIs/services
• Collaborate with cross-functional teams to define, design, and ship new features
• Optimize applications for performance, scalability, and reliability
• Integrate with large-scale data pipelines and distributed systems
• Write clean, maintainable, and well-tested code
• Participate in code reviews and contribute to engineering best practices
• Work onsite in a SCIF environment 80% or as needs dictate in either Herndon, VA or Westminster, CO

Mid-level Full Stack Software Engineer

Platform Engineer – Kubernetes

Data Engineer

• Design and build innovative discovery and automation tools with Elastic and other technology to empower geospatial and intelligence analysts to tackle complex, real-world challenges using diverse data types and sources.
• Design and implement Elastic Stack solutions (Elasticsearch, Logstash, Kibana, Beats) to support search, analytics, observability, and security needs.
• Develop efficient queries and indexing strategies, optimize performance, and manage large-scale data pipelines.
• Automate data workflows using scripting languages like Python or Bash; develop custom Elastic extensions when needed.
• Collaborate with users and cross-functional teams to gather requirements and deliver tailored solutions.
• Monitor and manage deployment configurations and snapshots to ensure service availability.
• Work with Elastic co. helpdesk to resolve technical issues.

Senior Data Engineer, Elastic

• Design, deploy, and manage Kubernetes and OpenShift clusters
• Build and maintain CI/CD pipelines
• Monitor platform performance and respond to incidents
• Collaborate with teams to improve platform usability
• Ensure compliance with security standards
• Communicate effectively with multidisciplinary teams