Top Software Engineer Jobs

Build production AI-agent integrations embedded within enterprise engineering teams. Write code and scripts connecting Harness AI Agents to pipelines, repositories, ITSM tools, security systems, and infrastructure. Collaborate directly with customer engineers, prototype and deploy incrementally, create reusable integration patterns, and support customer transition to independent operation. The role requires strong CI/CD and infrastructure-as-code knowledge, integration experience, stakeholder communication, comfort with ambiguity, and frequent travel to customer sites.

Develop and lead high-reliability flight and payload software for spacecraft platforms. Responsibilities include requirements development, software architecture, embedded coding, documentation, command and control software, hardware and ground-system integration, code reviews, and unit through system-level testing. The role requires expertise in concurrent software, Rust or C/C++, Linux-based SoC architectures, networking, cybersecurity, cryptography, and satellite bus software, with 10–20% travel and an active TS/SCI clearance.

Build and maintain a large case law dataset through document metadata pipelines, web scraper reliability systems, citation-resolution utilities, APIs, and evaluation benchmarks. The role requires backend technical generalism, data pipeline expertise, and basic-to-intermediate infrastructure and DevOps skills. Python and SQL are core, while ML and AI experience is beneficial. This is an in-person position in SoHo, New York City.

Design, build, and maintain HubSpot automations, integrations, internal apps, CRM extensions, and data-cleanup systems. Develop custom-coded actions and serverless functions using JavaScript and Python, integrate third-party platforms, and support complex CRM schemas, routing, subscriptions, and lifecycle automation. Partner with consultants and architects to translate client requirements into scalable technical solutions, contribute to discovery and scoping, and lead technical delivery across multiple remote client projects.

Build production software and scalable cloud systems for AI-powered insurance calls. Responsibilities include designing core LLM systems, refining prompts, developing privacy- and security-conscious solutions, orchestrating thousands of concurrent phone calls, integrating FHIR APIs, testing, debugging, and documenting software. The role also contributes to product direction, engineering practices, and company culture as a foundational team member.

Design, build, and maintain cloud-native applications, APIs, background services, user interfaces, mobile functionality, and reusable business logic using .NET, C#, and AWS. Develop infrastructure as code, CI/CD automation, observability, and secure, highly available solutions. Troubleshoot production issues, participate in technical design and code reviews, collaborate cross-functionally, and document architecture. Apply AI-assisted engineering practices throughout the software development lifecycle.

Build, test, deploy, and maintain full-stack internal business applications. Develop Vue/Nuxt interfaces and Node.js/NestJS backend services, APIs, and business logic. Manage databases and performance using Prisma, PostgreSQL, and Redis. Participate in Git workflows, code reviews, testing, debugging, documentation, and stakeholder collaboration. Review AI-assisted development output while protecting company information and ensuring the quality and security of shipped software.

Own the workflow engine powering customer runs, including scheduling, queues, retries, batching, idempotency, provider integrations, observability, and cost controls. Scale Postgres and Redis while improving reliability across high-volume data workflows. Work autonomously, use coding agents extensively, and make technical decisions for an early-stage platform.

Develop and maintain enterprise full-stack applications using C#, .NET, React, Angular, Azure, SQL Server, REST APIs, and cloud technologies. Responsibilities include architecture, database design, front-end and back-end development, integrations, testing, CI/CD, deployment, production support, and application modernization. The role also contributes to generative AI and intelligent automation initiatives, participates in Agile/Scrum processes, performs code reviews, and mentors junior developers.

Maintains and extends C++ media-processing services and Windows desktop video exploitation applications. Responsibilities include debugging video, metadata, GPU, native and managed-code issues; maintaining Linux Docker builds, CI/CD, gRPC/protobuf interfaces, Kubernetes pipelines, Visual Studio solutions, installers, release packaging, and licensing flows; and creating unit, integration, smoke, and diagnostic tests. The role also supports customer and QA defect resolution across C#/.NET, C++, WPF, media dependencies, GIS features, and deployment artifacts.