About INflow Federal - founded in 2013, INflow Federal is a mission-driven small business delivering cutting-edge solutions to the Department of War (DoW) and Joint Force operations across 20+ states. Our strength comes from our people - especially the Veterans who make up over 50% of our workforce. Through our Veteran Outreach Program and employee-first culture, we invest deeply in professional growth, well-being, and innovation. Known for our agility, transparency, and integrity, INflow combines real-world experience with emerging technologies like AI/ML to help our customers lead in a rapidly evolving defense landscape. We empower both our employees and mission partners to stay ahead - driving smarter, faster, and more secure outcomes.
As a DevOps Engineer supporting Machine Learning initiatives at INflow Federal, you'll be at the heart of our mission to empower DoD customers with cutting-edge AI/ML solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.
In this role, you will rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.
Duties & Responsibilities
- Automate and optimize service deployments
- Integrate with enterprise authentication services
- Establish and Improve system monitoring while maintaining established security protocols within development, test, and production systems
- Architect, build and maintain On-Prem and cloud infrastructure to support team and customer initiatives
- Maintain and improve existing infrastructure (build out autoscaling, support new services, optimize for cost efficiencies/authentication/search, etc.)
- Administer production, staging and development environments
- Manage and aggregate server logs and monitor for security and system related incidents
- Monitor and analyze system performance, such as server load and resource usage
- Maintain and improve existing build and deployment processes using CI/CD tools
- Apply configuration management disciplines to maintain software revisions, security patches, hardening, and documentation
- Enforce best practices for security and reliability, and drive security initiatives, like access control and vulnerability testing
- Work with A&A Teams to maintain security requirements for operation of systems
- Maintain documentation of designs/configurations, ensuring team members have continuity of recurring tasks
- Follow up on engineering tasks for operational solutions, and validate completion
- Manage operational readiness board - present at weekly meetings and determine if development services are ready for automation based on best practices and maintainability
- Track and ensure routine operations maintenance tasks are completed in a timely manner
- Participant in SAFe and Scrum development teams and meetings
Qualifications
- Experience working with container images and platforms (Kubernetes/Docker/OpenShift)
- Strong understanding of DevOps and software/application development processes
- Understanding of GitLab or other DevOps/Continuous Integration tools
- Understanding of microservice design and architectural pattern best practices
- Understanding of Python, Bash, and Shell scripting
- Knowledge of network technologies, common infrastructure components, load balancers, firewalls, virtual and physical infrastructure design
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
- Must possess excellent time management skills and the drive to work unsupervised
- Experience with deploying On-Prem infrastructure
- 2+ years of relevant experience
Desired Skills
- Experience in building processes for deploying to a Kubernetes based environment using Gitlab and Helm
- Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.)
- Ability to write and use unit and functional testing
- Experience using Jira and Confluence
Clearance Requirements
Other Notes
- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer
- If accommodation is needed with your application or the interview process for applicants with disabilities, please contact Human Resources at 703-594-8601
- Candidate must have the ability to lift up to 50 lbs
- Must have willingness to perform duties not listed in the job description as required by INflow and our customer
Citizenship Requirements
- Please note that INflow Federal is a defense contractor. Pursuant to our government contracts, candidates must be US Citizens to be considered for employment
Equal Opportunity Employer
Diversity and Inclusion
INflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
