Top Software Engineer Jobs

Develops, maintains, and supports EDI and API integration systems, including translation maps, scripts, transaction workflows, testing, monitoring, troubleshooting, and security. Collaborates with business, technical, trading partner, and service-provider teams to gather requirements, improve processes, manage changes, support onboarding, and ensure reliable data transmission. The role also contributes to project management, business process analysis, documentation, user acceptance testing, and integration-related implementations.

Build AI-assisted, production-ready full-stack applications from concept and prototype through deployment, with a strong frontend focus. Develop accessible React, Vue, and Nuxt interfaces aligned with design systems, implement backend APIs and services, manage SQL and NoSQL databases, and optimize authentication, caching, performance, and scalability. Collaborate with designers and innovation teams while using AI design tools, Figma, specification-driven workflows, and cloud deployment practices.

Own and evolve StackYak’s backend control plane, including PostgreSQL data models, durable workflows, APIs, identity and authorization, infrastructure integrations, billing, and production reliability. Build programmatic access through management APIs, Terraform, CLI, and agent interfaces. Design systems for correctness, idempotency, tenancy, security, and partial failure while operating the platform in production and shaping its technical standards.

Build and ship full-stack product features across HR-facing and employee health insurance platforms. Partner directly with stakeholders, own product decisions, integrate LLM-driven agents and experiences, maintain code quality, improve observability, and help establish the technical foundation using modern AI development tools.

Lead end-to-end development of scalable web applications using Node.js, React, MongoDB, and Google Cloud. Build analytics, identity resolution, personalization, integrations, and advanced visualizations using AI-assisted, spec-driven workflows. Develop LLM integrations, configure AI agents, maintain MCP servers, automate testing and CI/CD, and support observability. Serve as a Feature Lead by guiding architecture, technical specifications, documentation, and cross-functional communication.

Build and maintain full-stack applications, APIs, data pipelines, and applied-AI capabilities for Carlyle’s Global Private Equity platform. Develop Python backends and React or Next.js frontends, integrate enterprise and third-party data sources, and create RAG, knowledge graph, and agentic workflows. Partner directly with investment professionals to identify automation opportunities, translate requirements into software, support adoption, and ensure solutions meet security, governance, privacy, and engineering standards.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Build and operate DeepFrame’s GPU-powered video intelligence platform, including model serving, video ingestion, indexing, search, APIs, customer connectors, and enterprise deployments across AWS, single-tenant, and on-prem environments. Own reliability, observability, performance, and infrastructure costs while collaborating with Tokyo engineering and joining customer technical meetings. Serve as the technical owner for initial US pilots and deliver customer-driven product improvements.

Build, maintain, and deploy a high-volume, fault-tolerant observability platform. Architect and develop OpenTelemetry-based systems, implement services in Go (concurrency/gRPC), work with ClickHouse/Postgres, Kafka/Redis streaming, and containerized deployments on Kubernetes/Docker. Evaluate new tools and improve platform reliability and performance.

Designs and implements Go-based control-plane software for custom AI inference hardware. Responsibilities span system management APIs, Linux services, hardware interfaces, diagnostics, observability, security, firmware updates, distributed systems, and workload management. The role requires hands-on debugging across application, operating system, firmware, and hardware boundaries, plus technical leadership, mentoring, architecture, and production ownership. Regular on-site lab work includes server racking, system bring-up, hardware troubleshooting, and documentation.