AI Engineer Stf (Mid Career) Platform Ops & Deployments

Job description

**Description:** When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate! Today’s challenges to global security aren’t just changing – they’re accelerating faster than ever before.

Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean’s depths.
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a mid-career AI Platform Ops & Deployments Engineer for deployment of machine learning workload environments and tooling.
Your Mission:
Are you ready to take your expertise in Kubernetes and machine learning application deployment to the next level?

As a Platform Ops & Deployment Engineer at Lockheed Martin, you'll have the opportunity to drive key initiatives and contribute to the growth and development of our AI Factory platform.

With a focus on stability, reliability, and innovation, you'll play a critical role in shaping the future of AI/ML computing resources and services.

Join our team and be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality.
What you’ll be doing:
• Deploying tooling in customer and disconnected environments and fostering relationships with customer system developers, ensuring seamless integration and functionality
• Collaborating with stakeholders to identify and prioritize requirements for AI system improvements and new feature development
• Optimizing infrastructure as code and software bills of materials
• Providing deployment expertise across the technology stack
• Addressing user needs and resolving system reliability and stability concerns
• Stay up-to-date with emerging AI technologies and trends, applying this knowledge to improve AI Factory toolsets and systems
Who are you:
You are a motivated and adaptable individual with a solid track record of technical expertise and a growing ability to apply strategic thinking to complex problems.

Your skills and qualifications include:
• Experience with Kubernetes and deploying machine learning tools in various settings
• Strong technical expertise and ability to prioritize tasks, manage multiple projects, and collaborate effectively with internal stakeholders
• Proven ability to learn and take on new challenges, with strong communication skills to effectively work with others in a fast-paced and dynamic environment
• Ability to work closely with Central IT, Cybersecurity, and Engineering teams for on-premises, isolated, and cloud deployments of the platform
• Strong understanding of emerging AI technologies and trends, with the ability to apply this knowledge to improve AI Factory toolsets and systems
**What’s In It For You:**
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here.
Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you!
(This position is fully remote)
#LMLAIC
**Basic Qualifications:**
• Experience with Kubernetes, including distributions such as OpenShift, Rancher or GKE
• Experience with Linux, including distributions such as RHEL (Red Hat Enterprise Linux), Debian, or UNIX
• Experience with public cloud computing services, such as AWS, GCP, or Azure
• Familiarity with diverse IT principles, such as Networking, Storage, Computing, Security, or Distributed Services
• Familiarity with programming and scripting, such as Python, Go, or Bash
• US Citizen is required due to system access
**Desired Skills:**
• Experience with DevSecOps software development practices
• Experience with Collaboration Tools, such as Slack, Confluence, and Gitlab
• Familiarity with computing design and operations
• Familiarity with Container Storage, including Container Storage Interfaces (CSI) and Persistent Volumes
• Familiarity with Pipeline and GitOps Automation, such as ArgoCD, Tekton, Gitlab CI/CD
• Familiarity with Kubernetes Automation, such as Helm or Kustomize
• Familiarity with Infrastructure Automation, such as Ansible or Terraform
• Knowledge of Server Room design, including server hardware, rack diagrams, power, and cooling requirements
• Knowledge of Monitoring and Performance, such as Prometheus, Grafana, and Thanos
• Knowledge of Container Security, such as Falco, Sysdig Secure, Aqua, or Anchore
• Knowledge of Image Registries, such as Quay or Harbor
• Knowledge of Storage, such as Ceph, NetApp, Object/AWS S3
• Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
• Knowledge of AI/ML Orchestration tools, such as Kubeflow or OpenDataHub
**Clearance Level:** None
**Other Important Information You Should Know**
**Expression of Interest:** By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.

Should this match be identified you may be contacted for this and future openings.
**Ability to Work Remotely:** Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site.

Employees may travel to a Lockheed Martin office for periodic meetings.
**Work Schedules:** Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.

Schedules range from standard 40 hours over a five day work week while others may be condensed.

These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
**Schedule for this Position:** 4x10 hour day, 3 days off per week
**Pay Rate:** The annual base salary range for this position in most major metropolitan areas in California and New York is $131,000 - $227,125.

For states not referenced above, the salary range for this position will reflect the candidate’s final work location.

Please note that the salary information is a general guideline only.

Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

**Benefits offered:** Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

This position is incentive plan eligible.
**Pay Rate:** The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905.

For states not referenced above, the salary range for this position will reflect the candidate’s final work location.

Please note that the salary information is a general guideline only.

Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

**Benefits offered:** Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays.

Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays.

PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

This position is incentive plan eligible.
**Lockheed Martin is an equal opportunity employer.

Qualified candidates will be considered without regard to legally protected characteristics.**
**The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.**
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges.

Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility.

Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work.

We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you’re invited to apply for this role.

Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.
**Experience Level:** Experienced Professional
**Business Unit:** ENTERPRISE BUSINESS SERVICES
**Relocation Available:** No
**Career Area:** Artificial Intelligence
**Type:** Full-Time
**Shift:** First

Required Skill Profession

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