Top Software Engineer Jobs

Lead backend-focused fullstack development, collaborate with Data/ML teams to design and deploy scalable, performant systems; own architecture, select tech stacks, and balance tradeoffs for rapid iteration and production deployment.

Join as a founding software engineer to build core product and infrastructure, collaborate with the founding team, and help shape technical direction. Role is in-person in San Francisco; compensation includes competitive salary and equity. Submit resume to the provided email.

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.

Designs, develops, tests, documents, maintains, and supports JD Edwards EnterpriseOne applications and environments. Responsibilities include unit testing, system monitoring, technical documentation, application troubleshooting, customer support, and coordinating development projects across IT. The role requires EnterpriseOne programming experience, development toolkit expertise, and familiarity with applications, UBEs, TCs, BSFNs, NERs, UDOs, and interfaces.

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.

Leads architecture and development of scalable cloud-native, web, and connected software products primarily on Azure. Designs backend services, APIs, cloud infrastructure, and web interfaces while modernizing legacy applications. Provides technical leadership in Agile teams, drives DevOps, CI/CD, testing, observability, security, and performance practices, and mentors engineers. Partners with stakeholders, architects, program managers, and customers to define technical strategy, deliver connected data-driven systems, and align engineering decisions with business outcomes.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Design and implement smart contracts and blockchain-based applications, build backend integrations with blockchain networks, participate in architecture and security reviews, improve scalability and reliability, mentor engineers, and collaborate with product and design to ship production-ready Web3 products.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Leads Appian and UiPath development teams, setting platform roadmaps, overseeing solution delivery, managing projects, staffing, budgets, SLAs, metrics, architecture, integrations, testing, and support. The role provides hands-on design and development, mentors team members, partners with stakeholders and vendors, and drives automation, platform performance, quality, and continuous improvement.

Assists with migrating Excel pricing models to HX Renew and enhancing web-based commercial insurance pricing models. Develops model logic, data structures, validations, configurations, integrations, and basic JavaScript components. Troubleshoots calculations, creates test cases, reconciles results, documents changes, and collaborates with actuaries, underwriters, and developers. Uses Python, pandas, Excel, and SQL to clean, validate, transform, and analyze insurance data.

Leads Salesforce development, enhancement, support, and delivery across a global organization. Manages a distributed team of developers and business analysts, partners with stakeholders on product roadmaps and requirements, and coordinates integrated solutions with architecture, infrastructure, security, data, QA, and business teams. Ensures SDLC, governance, testing, release, and change-management standards while managing risks, resources, dependencies, timelines, and executive reporting.

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.

Develop C#/.NET APIs for an enterprise data platform, perform gap analysis, and build REST integrations using microservices and event-driven architecture. Implement CI/CD, containerization, and API management. In a later phase, integrate LLMs, build RAG and AI APIs, use orchestration frameworks, tune prompts and model parameters, and implement AI gateway capabilities such as token limits and model routing.