Top Software Engineer Jobs

Leads and mentors the software engineering team while contributing directly to development. Owns technical strategy, architecture roadmaps, platform scalability, data architecture, AI-driven development, integrations, security collaboration, and product alignment. Partners with executives, clients, product, analytics, and cybersecurity teams to translate business needs into scalable software solutions. Supports product launches, client engagements, vendor management, and technology positioning.

Develop and integrate software for advanced avionics and flight control systems. Responsibilities include creating system and software requirements, developing testing applications, performing software and system integration, modeling and performance analysis, documenting technical work, supporting TSO and STC certification projects, debugging prototype hardware, and mentoring lower-level engineers.

Build and improve Clad’s construction management software across the full stack. The role involves shaping product direction, developing new products and features, influencing business and team decisions, and contributing to a high-craft, continuously learning engineering culture. The position uses TypeScript across React, Remix, and Node.js and requires working in person in New York City.

Leads agile software development and data integration efforts while remaining hands-on with coding, analysis, troubleshooting, root cause analysis, and system improvements. Ensures data governance, security, reliability, and performance; aligns technology with business strategy; supports audits and RFPs; oversees project planning, budgets, assignments, and delivery; presents data visualizations to senior management; and mentors and evaluates staff.

Leads and mentors a software engineering team while serving as a player-coach. Owns technical strategy, architecture, platform scalability, data architecture, AI-driven development, DevOps collaboration, system integrations, and product alignment. Partners with executives, cybersecurity, analytics, clients, and vendors to translate business needs into scalable software capabilities, support product launches, and communicate technical value during client and pre-sales engagements.

Lead modernization of EWG's technology and data infrastructure: define technical roadmap, improve data ingestion/validation/processing, implement automation and AI, establish engineering standards and release processes, strengthen delivery discipline, manage and mentor engineers, remain hands-on coding, and communicate strategy and progress to leadership and external stakeholders.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Design, build, and operate core data and streaming platform capabilities for edge and hybrid environments. Own ingestion, contextualization, streaming, schemas, contracts, validation, lineage, and internal telemetry systems. Build connectors for OT/IoT and enterprise systems, ensure reliability/observability, support production readiness, and partner with engineering and customer teams to scale durable data capabilities for AI and operations.

Build and maintain systems-level software and custom visualization and data analysis tools for Army GEOINT users. Responsibilities include requirements analysis, software design, development, testing, performance evaluation, documentation, troubleshooting, and customer advising. The role applies computer science, engineering, and mathematical modeling to geospatial intelligence systems and requires collaboration with analysts, engineers, programmers, and project managers.

Own partner integrations from technical discovery through production launch and stabilization. Translate business and technical needs into integration designs, requirements, data mappings, and documentation. Investigate APIs, databases, logs, and code to troubleshoot issues; validate integrations through testing and data verification; and coordinate product, engineering, underwriting, operations, and external partners. Use AI-assisted tools to create specifications and guides, improve integration patterns, and drive progress through influence and clear communication.