Overview
LMI is seeking an Application Developer to help design, build, test, deploy and maintain the underlying platform to support a mission critical Army Data Layer (ADL).
This role will be part of team creating the foundational platform which will eventually become the second iteration of the Army Data Platform.
The Application Developer will work with Government Leads, solution architects, data owners, data stewards, process and workflow analysts, and data scientists to understand requirements and develop solutions that meet business needs.
Work location is currently teleworking, eventually hybrid teleworking and client site in Fort Belvoir, VA.
At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success.
We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability.
LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.
Responsibilities
- Build a master-agent architecture to foster ETL pipelines.
- Design and implement APIs that utilizes REST best practices.
- Write and execute automated tests.
- Develop and maintain documentation that enable platform maintenance.
- Participate in infrastructure reviews to identify best practices and opportunities for improvement.
- Follow good practices and project guidelines in all cases including the use of source code control, automated testing and deployment approaches, and proper documentation practices.
- Perform and / or participate in requirements discovery and design work sessions to determine best practice solution requirements.
- Architect and develop applications supporting internal and external communications; intra-service communications.
- Collaborate with diverse technical delivery teams to build service based architecture to scale and innovate.
Qualifications
Minimum
- Bachelor's degree in computer science, information technology, computer engineering or related field preferred.
- Work experience can be considered in lieu of a degree.
- 3+ years of experience building production applications.
- Experience working with a cloud provider (AWS / Azure / Google Cloud) or in-house data centers.
- Python Expertise
- Ability to understand a variety of system-to-system interface types and design solutions across on-prem and cloud infrastructures.
- Familiar with ETL concepts and solutions particularly for big data engineering, including experience with Apache Spark.
- In-depth understanding of relational database systems, such as Oracle, PostgreSQL, etc.
- Experience with non-relational databases such as MongDB, Redis, Elasticsearch, etc.
- Experience with web-development experience (Javascript, JSON, HTML, CSS)
- Experience with streaming / queuing frameworks such as Kafka, RabbitMQ, etc.
- Active Secret Clearance
Desired
- Experience with Palantir
- Analytical mindset data-driven and able to problem solve, particularly in the use of platform metadata or logging data to diagnose issues raised by platform users in relation to system functionality, or data pipelines.
- Good communicator able to deliver messages effectively, specifically as it relates to translating functional requirements into technical solutions and coordinating across technical and non-technical teams.
- Be self-motivated and self-starting able to execute with minimal guidance, embrace new methods, and learn and apply new concepts.
- Attention to detail focus on rigor and completeness of work output
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