DevOps Engineer for Machine Learning Initiatives

5 days ago

Springfield, Illinois, United States INflow Federal Full time

About the Role:

We are seeking a highly skilled DevOps Engineer to support our Machine Learning initiatives at INflow Federal. As a key member of our team, you will be responsible for designing and implementing cutting-edge AI/ML solutions for our Department of Defense (DoD) customers.

Your expertise will enable us to empower our customers with innovative data management and infrastructure, driving our commitment to data modernization and cyber resilience.

This role requires a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.

Key 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
  • Build, test, and maintain custom Helm Charts using Gitlab and ArgoCD
  • Build, test, and maintain custom OpenShift Operators
  • Maintain and improve existing build and deployment processes using Gitlab CI/CD pipelines to create complex ci-templates and custom runners
  • Apply configuration management disciplines to maintain Container software revisions, security patches, hardening, and documentation
  • Create FIPS compliant and hardened custom container images using UBI9-minimal and UBI9-micro base images
  • Maintain up-to-date documentation of designs/configurations, ensuring team members have continuity of recurring tasks
  • Create and determine required metrics for dashboards and service health
  • Follow up on engineering tasks for operational solutions, and validate completion

Qualifications:

  • Understanding of Python, Bash, or other scripting languages to automate builds
  • Knowledge of the Operator Framework and how operators are deployed
  • 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 to on-prem/data center infrastructure
  • Experience using Jira and Confluence on a daily basis
  • 3+ years of Kubernetes experience, preferably with OpenShift
  • 3+ years of experience building custom container images and platforms
  • Strong understanding of DevOps and software/application development processes
  • 3+ years of experience building GitLab CI/CD pipelines to build, scan, and deploy custom container images
  • 3+ years of experience using Helm and GitOps tools such as ArgoCD or Flux to manage application deployment and state within Kubernetes from Gitlab
  • 8+ years of experience
  • Bachelor's Degree in Computer Programming, Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience

About INflow Federal:

Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people.

The 'INflow difference' lies in our profound appreciation of employee culture, fueling an obsession with the well-being and professional growth of our team.

This employee-centric ethos has been pivotal to our enduring success, directly translating into significant benefits for our customers.

Our identity is greatly influenced by the contributions of US Military Veterans. INflow's Veteran Outreach Program, dedicated to recruiting transitioning military personnel, has been a resounding success.

Veterans now represent over 50% of our workforce, bringing invaluable experience and insight that have been crucial in steering our customers' success.

As a dynamic small business at the forefront of innovation, INflow boasts extensive expertise in Network Modernization, Cybersecurity, and Data Modernization in support of Joint Force Mission Operations.

Our reach extends to over 20 states, serving prestigious federal government clients including the United States Navy (USN), United States Marine Corps (USMC), and Joint Forces.

In our quest to simplify the customer experience, we embrace a collaborative approach, guided by our leadership's transparent communication and unwavering commitment to integrity.

Our customers value partnering with INflow for our agility, passion, and integrity.

Fueling INflow's continuous evolution is our voracious appetite for researching and integrating AI/ML technologies.

We are committed to empowering our employees and customers with these emerging tools, enhancing their ability to effectively integrate these technologies into their workflows.

This not only improves their operational efficiency but also deepens their understanding of AI/ML's transformative potential.

As we progress, our focus remains steadfast on developing our people so they can lead our customers into the future of mission systems and operations, adeptly navigating the ever-evolving landscape of the Department of Defense with innovative solutions and strategic insights.

Citizenship Requirements:

INflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.

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.

Equal Opportunity Employer:

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.

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