Software Engineer/Principal Software Engineer – Data Analyst

Northrop GrummanSan Diego, CA
$91,800 - $171,000Onsite

About The Position

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. Northrop Grumman Aeronautics Systems is looking to add a Software Engineer/Principal Software Engineer- Data Analyst to join our team on site in either in Rancho Bernardo, CA or Palmdale, CA. The candidate should be a self-starter with familiarity working in an Integrated Product Team construct.

Requirements

  • Level 2: Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 2 years of related engineering experience; OR a Master’s degree in a STEM discipline and 0 years of related engineering experience.
  • Level 3: Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 5 years of related engineering experience; OR a Master’s degree in a STEM discipline and 3 years of related engineering experience; OR a PhD in a STEM discipline and 1 year of related engineering experience.
  • Experience in hands-on SW development with Python, Java, C++, and/or MATLAB to enable the exploitation of large sets of data.
  • Experience in at least two of the following:
  • Experience performing predictive trend analysis including the use of AI/ML techniques.
  • Experience with building and maintaining complex databases across multiple IT infrastructures.
  • Experience working with database technologies such as Parquet, SQL, Neo4j, Elasticsearch, or MongoDB.
  • Experience with container management tools such as Kubernetes, Amazon EKS, Docker Swarm, Nomad, or Redhat OpenShift.
  • Experience of automating tasks using Ansible, Bash, PowerShell, Puppet or Python.
  • Experience with performance monitoring tools e.g. Elastic Stack, Grafana.
  • Be able to interpret complex Interface Control Documents (ICDs) and drawings to build new data structures from raw source information.
  • Strong collaboration and excellent communication skills verbal and written using collaborating tooling e.g. Atlassian Suite (Confluence, Jira, Bitbucket).
  • Strong agile background, keen to learn and succeed across multiple teams and adapt where required.
  • Active U.S. Government Top Secret clearance with SCI eligibility (with a background investigation within the past 5 years or enrolled into Continuous Evaluation).
  • Ability to obtain and maintain initial Special Access Program (SAP) access via a Program Access Request (PAR). This SAP/PAR must be obtained within a reasonable amount of time as determined by the company to meet its business needs.
  • Ability to obtain and maintain subsequent SAP PARs following commencement of employment to be able to completely support statement of work.

Nice To Haves

  • Current applicable Special Access Program (SAP) clearance
  • Active U.S. Government Top Secret SCI clearance.
  • Experience in datacenter infrastructure, communication subsystems, or advanced payload technologies.
  • Experience supporting the Delivery Lead/Project Manager in developing project roadmaps, understanding delivery time scales, and communicating these to the customer.
  • Experience creating/maintaining DevOps CI/CD pipelines: Maven, Bamboo, GitLab, Bitbucket.
  • Experience in migration activities with a focus on positioning projects to become cloud ready and implement micro services architecture.
  • Experience automating system deployment, operation and maintenance using Infrastructure as Code and Configuration Management tooling.
  • Experience administering a Kubernetes container platform using Red Hat OpenShift.

Responsibilities

  • Develop, integrate, and maintain an enterprise level toolset in support of cross-discipline engineering teams.
  • Develop toolsets to exploit large sets of operational data supporting the maintenance of communication subsystems and advanced payload technologies.
  • Collaborate and work in an engineering environment with Cloud & Application, Communications & Networking, Advanced Payload Technologies, Test Automation, DevSecOps, and Systems Test.
  • Work with stakeholders to design, build and maintain mission critical systems.
  • Identify technical risks/opportunities and proactively develop mitigation plans.
  • Communicate the progress and accomplishments of the team to senior leadership.
  • Create and maintain continuous integration and continuous deployment pipelines to ensure stability and quality at all stages of the software development life cycle.
  • Continuously expand your own skills, maintaining and enhancing relevant certifications.

Benefits

  • Relocation assistance may be available
  • health insurance coverage
  • life and disability insurance
  • savings plan
  • Company paid holidays and paid time off (PTO) for vacation and/or personal business
  • overtime
  • shift differential
  • a discretionary bonus
  • Annual bonuses
  • Long Term Incentives (for VP or Director positions)
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