Top Software Engineer Jobs

Build Ficus’s core payout infrastructure from the ground up, including beneficiary onboarding, account and payout workflows, internal tools, secure backend systems, and financial integrations. Own architecture and product decisions across frontend, backend, infrastructure, APIs, data models, security, observability, and compliance readiness. Collaborate directly with founders, customers, insurers, banks, vendors, and nontechnical stakeholders while translating ambiguous regulated-finance workflows into reliable products.

Lead end-to-end software product development, partnering with customers and cross-functional teams to build AI-native experiences. Design architectures, implement reliable high-performance systems, guide launches and iteration, mentor engineers, conduct code reviews, establish engineering practices, and contribute to recruiting. The role requires strong full-stack skills, product judgment, technical leadership, and the ability to work with TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.

Technology interns complete an end-to-end project supporting a real business priority, using data, analytics, AI tools, and digital workflows. They collaborate across departments, develop practical solutions, validate AI-generated outputs, and present results to senior stakeholders. The 10-week hybrid program includes mentorship, structured training, and exposure to technology, data engineering, machine learning, IT, and analytics teams.

Build scalable software infrastructure for electrical, thermal, and electromagnetic simulations. Develop automated pipelines, distributed execution, parameter sweeps, solver integrations, quality checks, provenance tracking, and reproducible dataset workflows. Optimize simulation throughput, cost, and reliability while collaborating with machine learning and hardware teams to validate results and generate training data.

Build and architect scalable backend services, APIs, and application features for a gaming platform. Lead cross-team initiatives, define cloud development and infrastructure-as-code practices, collaborate on technical specifications and API design, research backend technologies, and mentor engineers while remaining hands-on.

Own and lead backend products from architecture through production operation. Design high-traffic APIs and microservices, improve application and database performance, build real-time distributed data services, and enhance reliability, observability, automation, Kubernetes workloads, and cloud efficiency. Review code, establish engineering standards, coordinate dependencies, communicate tradeoffs, and drive ambiguous technical initiatives through rollout.

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.

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.