Top Software Engineer Jobs

As a Staff Software Engineer at Nourish, you'll design, build, and ship products, collaborate with teams, improve processes, and maintain code quality while overseeing major parts of the codebase.

Provides technical and architectural leadership for Ro’s patient-facing healthcare platform. Designs scalable backend systems supporting intake, prescriptions, commerce, subscriptions, renewals, and growth experiences. Partners with product, engineering, clinical, growth, design, and data teams to translate patient and business needs into technical strategy, improve system foundations, and drive patient outcomes and revenue. Requires strong systems design, backend engineering, product judgment, and experience leading complex consumer-facing platforms.

Build and lead end-to-end web and mobile product features for a MedTech sales platform. Collaborate with customers, product managers, designers, and engineers; use data to improve performance and identify product opportunities; introduce scalable technologies; mentor engineers; and develop AI-enabled experiences using agentic tools. The role requires full-stack proficiency across modern JavaScript and Python technologies, relational databases, GraphQL, and cloud services.

Paid summer internship for current undergraduate, graduate, or doctoral students in computer science or software engineering. Interns work 40 hours weekly for 10–12 weeks on project-based assignments, gaining exposure to Federal Reserve operations and collaborating with subject matter experts. Responsibilities may include interpreting data, developing insights, presenting information, supporting decisions, and contributing to departmental initiatives in an onsite or hybrid environment.

Support researchers and ML engineers to optimize and scale HPC workloads on CPU/GPU infrastructure. Analyze performance, diagnose bottlenecks across storage, networking, and schedulers, implement profiling and benchmarking, influence platform design, and define best practices for shared compute environments while ensuring security and compliance.

Leads the Merchant & Pay engineering organization, overseeing managers and teams responsible for merchant, partner, payment, and internal tooling systems. Owns technical strategy, multi-year roadmaps, reliability, scalability, security, engineering standards, and generative AI adoption. Partners with Product, Data, Security, and company leadership while recruiting, developing, and retaining engineering talent. Requires extensive engineering leadership experience, AWS expertise, marketplace or payments experience, and experience scaling business-critical platforms.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Troubleshoot complex customer and internal issues, develop internal SaaS tools, support Product and Engineering teams, manage incidents, monitor alerts, coordinate stakeholders, and participate in an on-call rotation. The role requires programming experience, strong SQL and database skills, observability tooling knowledge, API and SDK familiarity, device administration experience, and excellent communication.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.

Build and operate reliability systems for a cardiovascular data platform, including monitoring, SLIs, SLOs, incident response, automation, and observability. Investigate end-to-end failures across devices, connectivity, mobile applications, firmware, and cloud services. Analyze fleet-level reliability using Python, SQL, and BigQuery; automate manual checks; conduct postmortems; and improve telemetry to ensure complete, trustworthy clinical data delivery.