Top Software Engineer Jobs

Leads software development and production support, balancing technical delivery with supervisory responsibilities. Manages workload planning, prioritization, team performance, recruiting, mentoring, code reviews, SDLC standards, production stability, incident response, and continuous improvement. Partners with business analysts, architects, QA, stakeholders, and technology teams to deliver scalable enterprise applications. Participates in development, troubleshooting, solution implementation, and on-call support while guiding employees and consultants.

Software Engineering Interns will develop, test, debug, refactor, and document software for live client engagements. They will work with modern development stacks, cloud platforms, DevOps tools, data models, integrations, code reviews, and pair programming while receiving mentorship from consultants and technical leaders. The internship requires full-time participation in an eight-week hybrid summer program based in Nashville or Richmond.

Develop, maintain, and improve enterprise software and databases for a geospatial-intelligence modernization initiative. The role involves full-stack development, microservices, APIs, containerization, test-driven development, CI/CD, and cloud-native development in secure cloud environments. This is an on-site position supporting a federal government customer in St. Louis, Missouri, and requires Top Secret/SCI clearance and U.S. citizenship.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.

Develop and support enterprise integrations using MuleSoft, DataWeave, CloudHub 2.0, and AWS. Build APIs, data transformations, messaging workflows, secure connectivity, and resilient hybrid-cloud architectures. Manage CI/CD deployments, observability, troubleshooting, QA support, governance, release activities, and post-release hypercare. Create technical documentation and participate in Agile delivery while integrating enterprise applications, databases, event streams, and cloud services.

Provides hands-on technical leadership across architecture, infrastructure, backend services, APIs, ML systems, and product development. Partners with the CTO on technical direction, leads design and code reviews, mentors engineers, improves reliability and scalability, and works with customers to translate requirements into solutions. The role requires substantial production software engineering experience, cloud infrastructure expertise, and the ability to guide a growing engineering team without direct management responsibility.

Architect and operate large-scale data pipelines that power startup, people, and investment intelligence. Own data quality, discover new data sources, and advance extraction and reconciliation through LLM-powered agentic workflows and evaluations. Work across backend systems, databases, search indices, and GraphQL APIs to deliver customer-facing data products and features, collaborating with GTM, Product, and Design.

Own customer deployments from data access through trusted, outcome-driven systems. Responsibilities include exploring undocumented data warehouses, defining business ontologies, building agent-powered signals and workflows, validating outputs, diagnosing failures, measuring customer outcomes, and turning deployment learnings into reusable tooling. The role requires strong customer collaboration, technical judgment, SQL and dbt fluency, applied data science literacy, and comfort with ambiguity. This is a fully in-office position in New York City.

Own end-to-end product development across backend and frontend, translating ambiguous product goals into technical plans and customer-facing features. Build APIs, workflows, data models, AI features, infrastructure, and product logic using modern full-stack technologies. Partner with product, design, customers, and the founding team while making technical and product tradeoffs. Work in person five days per week and occasionally travel to factories or team offsites.

Design and own foundational systems for enterprise AI agents, including distributed agent pipelines, automation editors, graph traversal and indexing systems, and frameworks for autonomous workflow execution. The role focuses on scalable, deterministic, auditable, multi-tenant-safe architecture across complex enterprise data environments. Founding Engineers will work as high-slope generalists, owning architecture, product development, production-quality code, and customer impact in an ambiguous, fast-moving environment.