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Software Engineer/Principal Software Engineer - Data Analyst
- San Diego, California, United States
- San Diego, California, United States
About
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.
The selected candidate will be required to work full-time, on-site at our facility. There is no remote / hybrid / telework available for this position. Travel up to 25% may be required. Basic Qualifications
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.
Preferred Qualifications
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.
Primary Level Salary Range: $91,800.00 - $137,600.00 Secondary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. #J-18808-Ljbffr
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- English
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