Software Engineer - (STRATAS03.1)

Our team has multiple openings for a Software Engineer position. As a Software Engineer, you will create custom applications, scripts, or solutions for high priority intelligence issues. Primary responsibilities include:

1. Create custom tool sets; custom software, data extract, transform and load solutions for a wide variety of datasets and deliver those solutions via various infrastructure configurations such as on cloud infrastructure, on-premises-and-cloud hybrid infrastructure, or on local infrastructure.
2. Apply coding best practices and adhere to security requirements to develop innovative user interface designs in response to analyst, user analyses, product innovation, technology, and business needs.
3. Support or create databases to connect to applications, as necessary and ensure user interface guidelines and standards are followed during the development and maintenance of the product.
4. Present design concepts and negotiate with stakeholders to arrive at a design that supports both the business need and the user experience.
5. Communicate and work effectively with cross-functional team members including but not limited to analysts, data scientists, management, project managers, and software solutions integrators.
6. Maintain existing applications and conduct patching, updates and upgrades and create technical documentation to include architecture diagrams, user guides, user/functional testing instructions, quick references, development framework guides, APIs, and other technical documentation.

Minimum qualifications include:

1. Experience setting up and maintaining Cloud based DevOps functionality.
2. Experience with Java, JavaScript, Python, Flask, ReactJS or similar tools.
3. Experience with SQL and NoSQL databases, documenting system design and architecture, performance tuning, monitoring, troubleshooting and debugging applications and services.
4. Experience developing, deploying and maintaining containerized applications and databases within intelligence AWS environments.
5. Strong collaboration skills and an ability to work across organizational boundaries in support of the project, your development team and your customer.
6. Experience with Agile development, geospatial data, visualization, and relevant analytic methods and tools, manipulating large datasets and open-source data engineering tools and processes are highly desired.