Top Software Engineer Jobs

Design, develop, and deploy scalable full‑stack web applications. Lead architecture and technical planning, build React UIs, implement backend services in Python/Go, optimize PostgreSQL schemas, leverage AWS, mentor engineers, and own features end‑to‑end in an Agile environment.

Develop and maintain BCycle software across front-end, back-end, databases, external APIs, mobile applications, and station integrations. Design scalable and reliable solutions, conduct code reviews, mentor engineers, collaborate with product and QA teams, participate in Scrum ceremonies, support deployments and on-call operations, troubleshoot production issues, and improve engineering practices and system performance.

Build and ship end-to-end product features across backend services, infrastructure, and React user interfaces. Collaborate directly with users to refine the product, develop AI-powered components using large language models, and influence product direction. This high-ownership role requires working independently in a small, fast-moving engineering team and working onsite in New York City five days per week.

Design and build scalable backend services and integrations connecting legacy systems with modern software. Develop secure, reliable, high-volume APIs with efficient storage, retrieval, caching, and real-time communication. Create automated testing frameworks, research integration requirements, and build frontend applications using company APIs. Own features end to end, ship code frequently, and iterate based on customer feedback in a fast-moving, in-person startup environment.

Design and deliver core software systems from concept through production in a small engineering team. Develop backend systems in Python, deploy predictive models, establish engineering standards, review code, improve testing and delivery pipelines, monitor system performance, resolve defects, and shape engineering culture. The role also involves native desktop application development for Mac or Windows and close collaboration with company leadership.

Owns data infrastructure for storage, lineage, governance, lifecycle controls, customer data commitments, and cost attribution. The role maps data flows across services, clouds, queues, databases, analytics systems, and third parties; builds policy and identity propagation; enforces retention, deletion, export, and legal holds; develops Terraform modules, libraries, schemas, and automated guardrails; and enables sales, support, legal, security, and finance teams to self-serve reliable data and cost answers.

Senior Software Engineer role supporting technology-enabled solutions for financial health and reimbursement-cycle programs. The posting provides limited role-specific responsibilities or technical requirements, focusing primarily on contingent worker onboarding through Workday and general workplace expectations.

Leads software engineering support for NAVAIR’s MQ-9A Reaper program, including Interim Flight Clearance approval, software release testing, results analysis, failure tracking, deliverable monitoring, schedule oversight, and reporting to program leadership. The role serves as a technical area expert for air vehicle, ground control, and support equipment software and requires occasional CONUS travel.

Develops and maintains secure, accessible iOS and Android applications using React Native and TypeScript. Participates throughout the software development lifecycle, including requirements, design, coding, testing, deployment, and release management. Applies mobile security and healthcare privacy practices, uses AI tools responsibly, promotes engineering standards, troubleshoots performance issues, and mentors colleagues through collaboration, code reviews, and knowledge sharing.

Design, build, and operate scalable, production distributed systems for publisher onboarding, ad quality, and monetization. Gather requirements, write reusable code, break down work, act as on-call DRI, and improve availability, performance, and observability while leveraging cloud and AI/ML technologies.

Build and maintain scalable semantic indexing, ingestion, and search services for Microsoft 365 enterprise data at exabyte scale. Develop high-performance, low-latency, highly available software; participate in architecture, testing, deployment, code reviews, and maintenance. Collaborate across engineering teams and with stakeholders while addressing technical debt, privacy, security, compliance, reliability, and delivery risks. Apply advances in LLMs, semantic search, and vector indexing to improve Copilot.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

Develop and support backend applications, APIs, enterprise integrations, and services for mortgage-industry operations. Build solutions using C#, .NET, JavaScript, SQL Server, and Microsoft technologies; troubleshoot issues; participate throughout the software development lifecycle; and collaborate with product managers, business stakeholders, and engineers. The role also involves cloud development, code reviews, testing, deployment, documentation, production support, and integration with third-party financial platforms.

Develop and operate scalable applications across backend and UI layers using modern software practices, including microservices, serverless computing, CI/CD, and infrastructure as code. Perform testing, deployment, documentation, debugging, performance analysis, issue resolution, and system integration. Contribute to architecture, technology roadmaps, agile planning, code reviews, and sprint deliverables while supporting secure and operationally excellent systems.

Build and scale a fintech risk and compliance platform as the second engineer. Responsibilities include developing full-stack features, owning product areas end to end, improving reliability and performance, collaborating with customers, participating in architecture and code reviews, and establishing engineering best practices. The role requires independent feature delivery, strong full-stack fundamentals, production experience, sound technical judgment, clear asynchronous communication, and willingness to learn compliance and AI domains.

Build and maintain Python services and APIs within a Kafka-based event streaming platform. Develop enterprise integration services, support migration from legacy systems to cloud-native platforms, write automated tests, participate in code reviews, troubleshoot defects, and document service patterns. Collaborate with product, platform, and engineering teams while developing expertise in distributed systems, Kafka topic design, schema evolution, and agentic coding tools.

Build and own end-to-end features for a fast-paced mobile cryptocurrency trading app. Design scalable, high-performance, secure backend and full-stack systems; solve distributed systems and data-processing challenges; improve product efficiency; and collaborate autonomously with a small remote team across time zones.

Designs and extends Salesforce Health Cloud solutions, including custom Apex, Visualforce, Lightning Web Components, data models, integrations, and deployments. Collaborates with stakeholders and QA to deliver scalable solutions, troubleshoot defects, and support clients. Debugs JavaScript and Node.js services, web and mobile applications, and cross-stack issues involving AWS and containerized environments. Ensures relevant HL7 and HIPAA compliance while coordinating with engineering, product, DevOps, and India-based support teams.

Leads architecture, development, maintenance, quality, reliability, and release readiness for software products and services. Makes high-impact technical decisions, designs scalable and secure systems, diagnoses production issues, manages technical debt, and coordinates deployment strategies. Mentors engineers, documents architecture, collaborates with medical directors and laboratory scientists, supports roadmap planning, and contributes to technical hiring. The role requires expertise in Python-related software engineering, concurrency, distributed systems, data modeling, optimization, security, and observability.

Architect and build CADET’s production system for customer-grounded Copilot evaluations. Own end-to-end architecture spanning customer-signal capture, data enrichment, evaluation generation and execution, quality attribution, reporting, observability, and retention. Develop scalable services and pipelines, establish schemas and data contracts, automate quality gates, implement human-in-the-loop controls, and ensure privacy, security, reliability, reproducibility, and regression protection. Provide principal-level technical leadership across engineering, science, product, and platform teams while mentoring engineers and driving reusable capabilities.

Designs, implements, and leads large-scale distributed systems and foundational AI infrastructure. Responsibilities include technical strategy, architecture, observability, security, testing, production automation, incident resolution, open-source collaboration, cross-team influence, mentoring, and improving infrastructure for AI workloads such as model inference.

Build and operate data services, pipelines, schemas, dashboards, metric APIs, and AI-powered tools that measure and improve software engineering productivity. Partner with development teams to define productivity metrics, ensure data quality and privacy, develop analytics and MCP capabilities, and apply disciplined AI-first engineering practices. Responsibilities include improving technology stacks, validating AI-generated code, monitoring production systems, and translating quantitative and qualitative user feedback into secure, actionable insights.

Lead a team while designing and developing quantum software and hardware systems. Build distributed systems, integrate software with quantum hardware, and drive quantum control, orchestration, error correction, and noise mitigation solutions. Shape architecture and technical strategy for quantum networking, computing, and Cisco’s Quantum Data Center. Contribute hands-on to code and system design while mentoring engineers and collaborating across research and development teams.

Work on data collection, automation, and data processing pipelines; build scheduling tooling, data cleaning/normalization, monitoring dashboards, and assist with DevOps. Mostly Python codebase with some Typescript and Golang. Office presence in downtown San Francisco a few times per week.