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DevSecOps Engineer; Level 3 or- R10214138

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: Northrop Grumman
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer
  • Engineering
    Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: DevSecOps Engineer (Level 3 or4) - R10214138

Dev Sec Ops  Engineer (Level 3 or
4) – R

Northrop Grumman – San Antonio, TX

Relocation assistance may be available.

Clearance type: SCI.

Travel:
Yes, 10% of the time.

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.

We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software‑secure technology to enable strategic planning. We’re looking for innovators, who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi‑domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought‑leader.

At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career.

What You’ll Get To Do
  • Data Architecture & Modeling – Design scalable data mining pipelines, establish protocols for data ingestion, cleaning, transformation, and storage. Evolve models to capture long‑term trends and support real‑time analytics.
  • Statistical Insight – Perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources.
  • Visualization & Reporting – Create interactive dashboards and reports using modern BI and visualization tools (e.g., Tableau, Power

    BI, Plotly) to communicate insights to technical and non‑technical stakeholders.
  • Cross‑Functional Collaboration – Partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
  • Innovation & Knowledge Leadership – Stay abreast of cutting‑edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contexts. Mentor teams and promote a culture of data‑driven decision making.
  • Governance & Quality – Establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.
Basic Qualifications – Principal Cyber Systems Engineer
  • Bachelor’s degree in related STEM discipline with 5 years of experience;
    Master’s degree related in STEM discipline with 3 years of experience;
    PhD in related STEM discipline with 1 year of experience in Electrical Engineering, Systems Engineering, Software Engineering, Computer Engineering, Physics, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree.
  • U.S. Citizenship required.
  • A current/active DoD Top Secret w/ SCI eligibility.
  • Expertise in statistical modeling (regression, classification, time series) and machine learning (supervised/unsupervised).
  • Proficient in Python/R, SQL, and big‑data frameworks (Spark, Hadoop).
  • Strong data wrangling and feature engineering abilities.
  • Advanced visualization and storytelling with libraries like Matplotlib, Seaborn, D3.js.
  • Familiarity with cloud analytics platforms (AWS Sage Maker, Azure ML, GCP AI Platform).
Basic Qualifications – Sr. Principal Cyber Systems Engineer
  • Bachelor’s degree in related STEM discipline with 8 years of experience;
    Master’s degree related in STEM discipline with 6 years of experience;
    PhD in related STEM discipline with 4 years of experience in Electrical…
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