RR66 KMC Analytics

Description

In the addition to the standard SWE1 labor category requirements, the KMC Analytic Team is looking for a Dev/Ops engineer with a understanding of concepts even at the board level, be willing to jump in and take over operations type work, diagnosing Kubernetes issues, diagnosing CI/CD issues, diagnosing application issues, assisting customers with their deployment troubleshooting. The Dev/Ops engineer will update sections of software, as well as simultaneously managing changes to other parts of the program. Assist team members as needed. Will work across contracts to assist both front end and back-end development and low side environments. Will also collaborate with the customer operations team to ensure continuity. DevOps Engineers must know how to use scripting programs such as Java. Possess interpersonal, management and decision-making skills. Strong written and verbal communication skills are required.

Development experience with:
• Kubernetes (Rancher)
• Terraform
• Ansible
• AWS
• Atlassian Tools (Confluence, Jira)
• Helm Chart
• GitLab
• ELK Stack
• Prometheus

Desired:
• Experience responding to user issues
• Strong interpersonal and organizational skills
• Ability to work in a dynamically changing environment

The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

Requirements

Seven (7) years experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Discretionary Requirements
Cloud Experience: Shall have one (1) year demonstrated work experience with distributed scalable Big Data Store (NoSQL) such as Hbase, CloudBase/Acumulo, Big Table, etc.; Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.; Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS); Shall have demonstrated work experience with Serialization such as JSON and/or BSON.
Qualifications
-Analyze user requirements to derive software design and performance requirements
- Design and code new software or modify existing software to add new features
-Debug existing software and correct defects
-Integrate existing software into new or modified systems or operating environments
-Develop simple data queries for existing or proposed databases or data repositories
-Provide recommendations for improving documentation and software development process standards
-Develop or implement algorithms to meet or exceed system performance and functional standards
- Assist with developing and executing test procedures for software components
-Write or review software and system documentation
- Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas
- Serve as team lead at the level appropriate to the software development process being used on any particular project
- Modify existing software to correct errors, to adapt to new hardware, or to improve its performance
- Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design
-Design or implement complex database or data repository interfaces/queries

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