Top Software Engineer Jobs

Build and maintain finance-system integrations and automation across NetSuite, Celigo, Stripe, Salesforce, and other business platforms. Develop SuiteScript and JavaScript solutions, configure billing and invoicing workflows, create error handling and reconciliation checks, automate Billing and AR processes, manage environments and vendor support, and support finance systems, tax tooling, audits, and production operations.

The Oracle ERP Manager leads ERP team efforts to enhance Oracle Fusion functionalities, manages project lifecycles, supports business users, and optimizes ERP systems.

Build developer tools and research infrastructure that accelerate engineering and AI research. Responsibilities include improving coding agents for development, testing, and code review; creating better development environments, faster tests, and reliable deployment workflows; and building a platform for launching experiments, comparing results, and guiding future research.

Work full-stack on a small mobile-focused engineering team building a product-first React Native app. Contribute to product ideation, UX, analytics, and deliver features across frontend and backend (GraphQL, PostgreSQL). Report to Head of Engineering and collaborate on technical decisions, pair-program, and help shape product strategy in a fast-paced startup.

Build and deploy customer-specific software solutions, including data integrations, APIs, applications, business logic, and AI-enabled workflows. Partner directly with customers to scope problems, validate solutions, and ensure adoption. Own software reliability, testing, deployment, monitoring, documentation, and ongoing support while identifying reusable patterns with Product and Engineering. The role combines hands-on software engineering, customer engagement, and travel to manufacturing clients.

Own CodeRabbit’s agentic GTM Systems engineering harness and architecture. Build Salesforce solutions, full-stack internal tools, agents, and integrations spanning CRM, billing, CPQ, provisioning, data warehouses, and reverse ETL. Establish engineering standards for Business Systems, including testing, CI, deployment, security, reviews, and runbooks. Partner with Finance, GTM, Deal Desk, and Data teams to deliver scalable systems while mentoring engineers and analysts and reducing reliance on consultants.

Own support and operations for Arc’s laboratory information management system. Responsibilities include managing requests, making schema changes, maintaining data validation checks, supporting experiment templates and command-line tools, training scientists, documenting workflows, and automating recurring tasks. The role also includes improving permissions, building tools to make laboratory metadata queryable, debugging systems, and eventually owning part of the lab platform from design through support.

Lead end-to-end AI agent deployments for MSP and enterprise partners. Own discovery, scoping, integration architecture, production software development, rollout, adoption, and outcome measurement. Build reusable tools and platform components while working directly with partner IT teams and internal Engineering, Operations, Product, and GTM teams. The role requires customer-facing technical delivery, production-grade coding, and experience shipping LLM-powered systems.

Design and build immersive, interactive sandbox environments in Unity. Implement dynamic camera, animation, and large-scale addressable asset systems. Integrate Unity with AI agents for navigation and dialogue. Develop and optimize WebGL and iOS deployments. Collaborate closely with a small founding team to shape technical foundation and roadmap.

Lead PracticeMatch’s engineering and QA organization while modernizing a live ColdFusion and SQL Server platform into TypeScript and Python services in the cloud. Define architecture and migration strategy, build CI/CD, testing, observability, and production engineering foundations, and maintain reliable delivery. This is a hands-on leadership role involving significant coding, architecture, code review, incident response, AI-assisted development, talent development, and collaboration with product and executive leadership.