Senior Next-Gen Data Developer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We are seeking a versatile, inventive Level 2 Software Engineer to design, maintain, and enhance complex, mission-critical software systems. In this high-impact role, you will tackle processing-intensive analytics, drive novel algorithm development, and manipulate extremely large datasets across cloud, real-time, and event-driven architectures. Whether working independently, guiding small development teams, or collaborating with systems engineers, you will touch every phase of the lifecycle—translating user requirements into performant code, integrating modern COTS/GOTS/OSS tools, containerizing applications, and ensuring seamless deployments on Unix platforms.

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Full-Lifecycle Software Engineering: Demonstrated experience designing, developing, testing, deploying, and maintaining complex software systems across the entire lifecycle.
Unix Development & Scripting: Strong hands-on experience developing in Unix environments with proven proficiency in Unix shell scripting.
Core Languages & Tooling: Software development experience using languages such as Java (J2EE/Eclipse), Python, C++, C, Ruby, Perl, or JavaScript, combined with version control using Git.
Agile & CI/CD Practices: Practical experience working within Agile processes, using collaboration tools (e.g., Atlassian Jira/Confluence), and employing continuous integration workflows.
Data Processing & Database Systems: Experience designing and developing with both relational and non-relational databases, including event-driven/data-driven analytics.
Architecture & Trade-Off Analysis: Ability to evaluate hardware/software trade-offs and synthesize system-level requirements down to individual software components, incorporating OSS, COTS, and GOTS components.
Configuration & Web Services: Working knowledge of Configuration Management (CM) tools and Web Services implementation.
Bachelor’s Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 5 + years of specialized data analytics or financial intelligence experience OR Master’s Degree in a related field, PLUS 3 + years of specialized analytical experience OR High School Diploma / GED , PLUS 7+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

Nice To Haves

Containerization & Orchestration: Hands-on experience with container technologies (e.g., Docker) and orchestration/messaging frameworks such as Spring, Kafka, or queue management systems.
Cloud Solutions: Experience developing, deploying, and sustaining cloud-based solutions and technologies.
Technical Leadership: Experience serving as a team lead, conducting quality control on team products, and mentoring peer engineers within Agile frameworks.
Algorithm & Resource Optimization: Experience implementing complex algorithms with strict timing, system resource, or interface constraints using mathematical and scientific models.

Responsibilities

Design, maintain, and enhance complex, mission-critical software systems.
Tackle processing-intensive analytics.
Drive novel algorithm development.
Manipulate extremely large datasets across cloud, real-time, and event-driven architectures.
Translate user requirements into performant code.
Integrate modern COTS/GOTS/OSS tools.
Containerize applications.
Ensure seamless deployments on Unix platforms.
Evaluate hardware/software trade-offs.
Synthesize system-level requirements down to individual software components.
Incorporate OSS, COTS, and GOTS components.