Two Six Technologies is looking for a DevOps Engineer to join a small engineering team to be a hands-on-keyboard contributor to the deployment and operation of our public-facing and customer-facing systems in support of national security missions.

You will be responsible for deploying, securing, and monitoring our production, test, and development environments. Our environments are in Digital Ocean and AWS, with most of our applications running in Docker containers. You are a great fit if you are experienced with Ansible, Terraform, and/or other similar tools to manage and automate these types of deployments. Our primary datastore is PostgreSQL, and we also support applications that use MySQL and Elastic. 

Most of your day-to-day will be focused on engineering activities and collaborating with our technical team members on system designs and strategic technical decisions. We currently have a deployment window that requires some evening work once a week, and occasional events outside of regular business hours. We prioritize system stability and are very successful in minimizing support calls.

This role is on-site in Rosslyn, VA. This position requires an active TS clearance. 

Our teams are doing innovative development across a wide range of technologies, including building large, distributed computing platforms that process huge quantities of data each day, leveraging large language models (LLMs) and generative AI to enrich and improve analysis of that data, and we are supporting important missions of our customers. DevOps is a critical enabler of all of this work and this role is a great opportunity to be a part of it. 

What you will do:

• Proactive Problem Solving: Demonstrate a strong drive to independently identify challenges and propose secure, cost-effective solutions.
• Operations and Service Mindset: Building and maintaining a solid and scalable infrastructure to keep our applications available for our customers’ missions is paramount. 
• Mentorship and Collaboration: Exhibit a passion for collaborating with team members and sharing knowledge to elevate the entire team.
• Technical Acumen: Apply deep technical intuition and critical thinking when tackling complex or unfamiliar problems.
• Adaptability: Thrive in fast-paced, deadline-driven environments, maintaining focus and delivering high-quality results under pressure.
• Results-Oriented: Prioritize metrics-driven outcomes and consistently deliver work that creates measurable, meaningful impact.
• Documentation Excellence: Maintain a habit of thoroughly documenting code, system designs, and processes to ensure clarity and long-term maintainability.

What you will need:

• Cloud Experience: A minimum of two years of experience maintaining production applications in AWS is required, other major cloud service providers is a plus.
• Database Experience: We use several databases, including PostgreSQL, MySQL, and Elastic. Experience with SQL is essential.
• CI/CD and Tooling: Basic proficiency in CI/CD tooling and pipelines, with hands-on experience using tools like Jenkins, GitHub Actions, or GitLab Pipelines.
• Containerization and Orchestration: Experience working with containerization technologies, particularly Docker.
• WordPress and securing public-facing infrastructure: Experience managing public-facing WordPress sites, including application firewalling, and edge delivery via Cloudfront/Cloudflare, 
• Automation and Configuration Management: Experience with tools like Terraform, Ansible, Chef, or Puppet to streamline infrastructure management.
• Infrastructure Best Practices: Knowledge of best practices for infrastructure security, reliability, and fault tolerance.
• Cybersecurity Awareness: Familiarity with cybersecurity systems and principles to safeguard infrastructure and applications.
• Development Practices: Proficiency in software development practices, including version control (e.g., Git), CI/CD pipelines, and agile methodologies.
• Educational Background: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or comparable experience.

Nice to haves:

• Proficiency in Scripting: Strong expertise in scripting languages, with a primary focus on Python and TypeScript.
• Web Frameworks: Hands-on experience with React and Flask.
• Foreign Language Fluency: While not a requirement for this position, additional language skills would strengthen the team’s ability to meet occasional multilingual requirements.

Security Clearance:

• Active TS clearance Required

 #LI-JB1

What Impact You'll Have:

Join a mission-focused team where your work directly supports critical national security objectives. We are seeking a Subject Matter Expert (SME) Full Stack Developer to lead the design, development, and delivery of scalable, mission-driven applications within an ML/Ops environment. This role combines deep technical expertise with advanced system-level thinking and close collaboration across engineering, data science, and customer stakeholder teams.

The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation while developing rules and methodologies for data collection and analysis. You will architect, develop, and maintain a Python-based data warehouse processing system that serves as the backend for a user-facing application, while also leading development of modern GUI applications using REST APIs and contemporary web frameworks.

You will work closely with data scientists, computer vision engineers, ETL engineers, and intelligence analysts to integrate machine learning capabilities into production systems, enabling scalable model deployment, monitoring, and continuous improvement. This role emphasizes ownership, technical leadership, and delivery of production-ready solutions that operate reliably in dynamic, real-world environments.

What You'll Be Owning:

• Lead and participate in the architectural design of complex features early in the development lifecycle.
• Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans.
• Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems.
• Design and implement scalable APIs and services to support machine learning model deployment and inference.
• Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets.
• Collaborate with data scientists and ML engineers to operationalize models within production environments.
• Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable.
• Conduct peer reviews and establish coding standards to improve overall code quality and maintainability.
• Guide development testing, exploratory testing, automated testing, and validation strategies.
• Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts.
• Ensure security, compliance, and governance are maintained throughout the development lifecycle.
• Perform technical planning, system integration, verification and validation, and risk assessments across system components.
• Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams.
• Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team.

What You Must Have:

• Active TS/SCI clearance with the ability to obtain a CI poly
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 14+ years of professional experience in full stack software development.
• Expert-level proficiency in Python and object-oriented design patterns.
• Extensive experience developing backend systems, APIs, and data processing pipelines.
• Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron.
• Deep understanding of data modeling techniques and experience working with large-scale and time series datasets.
• Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery.
• Experience building and maintaining RESTful APIs and microservices architectures.
• Experience supporting machine learning workflows, including model integration, deployment, and monitoring.
• Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna.
• Strong experience with Python libraries such as NumPy and Pandas.
• Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn.
• Experience with containerization and DevOps practices, including Docker and CI/CD pipelines.
• Experience with web servers such as Apache and Nginx.
• Experience working within Agile development environments and using associated tools.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.
• Experience integrating computer vision or machine learning capabilities into operational systems.
• Knowledge of real-time data processing, streaming architectures, or distributed systems.
• Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform).
• Experience with parallelization and multiprocessing frameworks such as Dask.
• Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with remote procedure call technologies such as gRPC and JSON-RPC.

#LI-CM1

What Impact You'll Have:

Join a mission-focused team where your work truly matters. We are seeking a Subject Matter Expert (SME) Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, advanced system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

You’ll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.

In this role, you will lead full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

What You'll Be Owning: 

• Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
• Lead collaboration with engineering teams to integrate vision capabilities into complex defense systems.
• Optimize performance for edge devices and embedded systems in operational environments.
• Oversee testing and validation of computer vision systems to ensure mission readiness.
• Lead system architecture, technical strategy, and full lifecycle systems engineering efforts.
• Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
• Conduct and guide functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
• Support and influence system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
• Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
• Mentor junior and mid-level engineers and establish best practices across the team.
• Maintain security and compliance throughout the development lifecycle.

What You Must Have:

• Active TS/SCI clearance with Polygraph eligibility.
• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 14+ years of experience in computer vision, machine learning, or closely related fields.
• Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
• Deep experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
• Strong familiarity with OpenCV and classical computer vision techniques.
• Advanced engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
• Experience with machine learning utilities such as MLflow, Optuna, and DVC.

What Would be Nice to Have: 

• Experience supporting government or defense-related programs.
• Extensive experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
• Knowledge of real-time video analytics, sensor fusion, or 3D perception.
• Experience working within secure or classified development environments.

#LI-CM1

What Impact You'll Have:

Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers.

You’ll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions.

In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems.

What You'll Be Owning:

• Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition.
• Collaborate with engineering teams to integrate vision capabilities into defense systems.
• Optimize performance for edge devices and embedded systems.
• Complete testing and validation of computer vision systems.
• Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities.
• Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments.
• Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications.
• Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal.
• Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints.
• Mentor junior engineers and help define best practices for the team.
• Maintain security and compliance throughout the development lifecycle.

What You Must Have:

• Active TS/SCI clearance with Polygraph eligibility.
• Bachelor’s degree in Computer Science, Data Science, or a related field; equivalent experience will be considered.
• 9+ years of experience in computer vision, machine learning, or closely related fields.
• Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required.
• Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management.
• Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers.
• Familiarity with OpenCV and classical computer vision techniques.
• Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices.
• Experience with machine learning utilities such as MLflow, Optuna, and DVC.

What Would be Nice to Have:

• Experience supporting government or defense-related programs.
• 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation.
• Knowledge of real-time video analytics, sensor fusion, or 3D perception.
• Experience working within secure or classified development environments.

#LI-CM1