High-end engineering, data analytics, cybersecurity consulting
MLOps Software Engineer
Full-TimeUpdated on 10/23/2026
$205k - $255k/yr+ 10% 401(k) contribution
Senior
Bachelor's
Annapolis Junction, MD, USA
In Person
AI & Machine LearningApplied Machine Learning
No H1B Sponsorship
US Top Secret Clearance Required
About the job
Requirements
Experience using the Linux command-line interface.
Experience developing with Python.
Experience with data-processing workflows and extract, transform, load (ETL) solutions such as Spark and/or Dask.
Experience developing and deploying containerized applications.
Experience writing and deploying Kubernetes resources.
Experience writing and deploying Helm charts.
At least five years of experience, across multiple positions and levels.
A bachelor's degree in Computer Science or a related discipline.
Responsibilities
Design, develop, and sustain pipelines that enable machine-learning model training and large-scale inference in a Kubernetes-based environment.
Develop data-aware model-training pipelines and Kubernetes-based inference pipelines that compliantly handle in-flight data.
Maintain custom metrics to enable tuning of running pipelines.
Desired Qualifications
Experience developing with Go.
Experience with continuous integration and continuous delivery (CI/CD) concepts and implementations, such as GitLab and Flux CD.
Experience working with and debugging GPU-enabled applications.
Experience with policy-management tools such as Kyverno.
Experience using Go image-builder tools such as Ko.
Experience using a machine-learning framework such as PyTorch or TensorFlow.
Experience with other machine-learning pipelines or frameworks such as Kubeflow, NeMo, and PyTorch Lightning.
Experience with metrics and monitoring tools such as Prometheus and Grafana.
Experience with the Atlassian suite of tools.
Description
Perks and Benefits
100% Paid Healthcare
31 Days PTO
10% 401k in every paycheck
100% Fully Vested!!!
Do you get excited about learning new technologies, problem solving, and influencing outcomes?
We know that cybersecurity and its technologies evolve at a rapid pace. The defense community needs an engineering partner who can not only keep up, but bring the technical expertise and passion necessary to solve the new hardest problems — and do it well. GIGATEC's highly engaged, agile team does just that, with innovative solutions for every mission-critical challenge.
If your answer is an enthusiastic "yes" then please keep reading!
Our team is passionate about defending national security and mastering new tech, so we give our engineers exactly what they need to do both: unlimited upskilling, tuition reimbursement, student loan repayment, and 100% paid healthcare, plus flexible benefits.
We are seeking Software Engineer who wish to accelerate their skills and focus on tackling the most difficult challenges of the US Government, in one of the most exciting areas of the mission available. GIGATEC offers the best salaries and benefits packages available, where you are at the center of our motivation.
NOTE – Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa.
Requirements
What You’ll Be Doing (We don’t love the bullet points, but we love the work!)
Your role will include being tapped into for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment. Development of data-aware model training pipelines to, Kubernetes-based inference pipelines that compliantly handle in-flight data, and maintaining custom metrics to enable tuning of running pipelines.
You will get to work with cutting edge systems which might include (but are likely not limited to) processing intensive analytics (remember, this is HPC), novel algorithm development, manipulation of extremely large data sets (again, HPC!), real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. All being critical to the success of the customer and the overall mission at large.
Required Skills
– Experience using the Linux CLI
– Experience developing with Python
– Data processing workflows and ETL solutions such as Spark, and/or Dask
– Developing and deploying containerized applications