Mid-Level Analytics Software Engineer

Nyla Technology Solutions; Corridor North (MD); On-site; USD 149,000 - 176,000; Full time

Job summary

Nyla Technology Solutions is seeking a Mid-Level Software Engineer to develop, maintain, and enhance complex software systems across demanding domains. The role involves end-to-end software development, system design, and cross-functional collaboration to deliver high-quality analytics and enterprise-grade solutions.

The position requires evaluating hardware/software trade-offs, integrating COTS and GOTS where appropriate, and driving reuse and scalable design decisions.

Responsibilities

• Develop, maintain, and enhance complex, high-performance software systems.
• Contribute to end-to-end software development and system design decisions.
• Assess hardware/software trade-offs and enable software reuse across teams.

Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

The Mid-Level Software Engineer develops, maintains, and enhances complex, high-performance software systems based on documented requirements. This role encompasses end-to-end software development across demanding domains, including processing-intensive analytics, novel algorithm development, real-time architectures, manipulation of extremely large data sets, and enterprise-grade business management information systems. Operating both independently and in cross-functional engineering teams, the engineer participates directly in systems-level design decisions. Key responsibilities include evaluating hardware/software trade-offs, driving software reuse, assessing Commercial Off-the-Shelf (COTS) and Government Off-the-Shelf (GOTS) integration versus greenfield development, and synthesizing system-level requirements into component-level designs.

The annual base salary range for this role is $149,000-$176,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.