Top Software Engineer Jobs

Designs and builds reliable, performant, secure platform components; influences roadmap and owns multiple platform areas. Partners across engineering teams on cross-cutting solutions, delivers interdependent work, drives continuous improvement, and participates in code and design reviews. Requires experience with API platforms, REST/RPC systems, and microservices development in Python, Golang, Java, or C++.

Build and improve end-to-end web and mobile product features for MedTech sales teams. Collaborate with customers, product managers, designers, and engineers; use data to optimize performance and identify enhancements; explore scalable technologies; contribute to engineering processes and culture; and mentor developing engineers. The role emphasizes full-stack development across multiple technologies and agentic AI development practices.

Design, develop, test, deploy, and support scalable full-stack cloud-native applications using Java, Spring Boot, Vue.js, Python, and FastAPI. Build secure APIs and operate AWS applications with Docker, Kubernetes, and Infrastructure as Code. Collaborate with product, systems, and architecture teams to deliver features end to end. Apply AI-assisted development throughout coding, testing, debugging, code review, and documentation while validating quality, security, and maintainability.

Define the technical vision and multi-quarter strategy for Coinbase’s FinHub financial infrastructure. Architect scalable ledger and money-movement primitives across fiat and crypto, ensuring double-entry accounting, idempotency, reconciliation, auditability, reliability, and safe failure recovery. Lead complex cross-team architectural initiatives, collaborate with finance, risk, compliance, and operations stakeholders, and mentor senior engineers while improving system design and operational excellence.

Lead design, develop, and maintain secure, scalable Java 17+ backend services using Spring Boot and microservices. Drive AI-assisted engineering adoption, ensure operational stability, automate remediation, lead technical evaluations, and coach teams on secure, responsible AI and best SDLC/CI/CD practices.

Leads software engineering within agile teams by designing, developing, testing, and troubleshooting secure, scalable Java or Python applications. Builds blockchain solutions, including Ethereum smart contracts and decentralized applications, and uses AWS to deploy cloud systems. Contributes to architecture, resiliency, CI/CD, data analysis, and production stability. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, and coaches engineers on secure and compliant usage.

Leads software engineering within JPMorganChase’s Corporate Data and Analytics team. Responsibilities include designing, developing, testing, debugging, and supporting secure, scalable production systems; reviewing code; improving operational stability; automating recurring remediation; and evaluating architectural solutions. The role also drives responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, manages stakeholders and vendors, and supports data ingestion, management, and analytics initiatives.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Leads software engineering for cloud financial management products, providing technical direction and developing secure, scalable production code. Modernizes front-end applications with React, improves CI/CD and automated testing, and integrates AI-assisted engineering practices responsibly. Influences architecture, product design, and operational processes; resolves recurring issues through automation; contributes to SDLC governance; and evaluates vendor and startup solutions. Requires strong Java or Python skills, cloud-native experience, financial services knowledge, and expertise in application resiliency and security.

Leads full-stack Java software engineering within Credit Risk Technology. Designs, develops, tests, debugs, and maintains secure, scalable production applications; reviews code; improves automation and operational stability; and promotes responsible AI-assisted engineering practices. Evaluates vendor and architectural solutions, coaches team members, and contributes across the software development lifecycle using agile, cloud-native, resilient, and secure delivery practices.

Build responsive Web3 applications, web SDKs, developer tools, reusable frontend components, and internal Customer Success tools. Collaborate with Product, Design, and Engineering to create scalable, accessible user experiences. Contribute to code and design reviews, automated testing, continuous delivery, coding standards, and AI-assisted development practices.

Develop and modernize secure, scalable front-end web applications for a government big-data analytics platform. Build responsive interfaces, dashboards, reporting tools, and data visualization features; integrate APIs and data services; and support geospatial data capabilities. Collaborate with product, UX, backend, data, and cybersecurity teams in an Agile environment. Participate in architecture, code reviews, mentoring, DevSecOps, troubleshooting, performance improvement, and compliance activities. Work onsite three days weekly and in a SCIF as required.

Leads software engineering efforts for a data platform within an agile corporate technology team. Designs, develops, tests, debugs, and maintains secure, scalable production systems; reviews code; improves operational stability through automation; and promotes responsible AI-assisted development practices. Evaluates vendors and architectural solutions, coaches engineers on secure AI use, and applies cloud-native technologies, software development lifecycle practices, resiliency, and security standards in financial services systems.

Design and develop scalable cloud-based backend architectures for PSA’s consumer-facing Set Registry platform. Own features through architecture, implementation, testing, deployment, and production release. Build APIs for web and mobile applications, improve databases and existing applications, troubleshoot complex systems, and collaborate with product and engineering teams. Contribute to technical design reviews, documentation, monitoring, security practices, and automated testing.

Architect and build evaluation metrics, statistical and ML analyses, dashboards, and pipelines for autonomous driving systems. Analyze simulation and on-road time-series data, evaluate perception, prediction, and planning models, identify anomalous behavior, and support release-gating and safety decisions. The role requires production Python development, C++ codebase work, cross-team technical leadership, and integration of advanced AI models for scenario classification and validation prioritization.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Lead the technical direction, architecture, and operation of Snap’s omnichannel notification platform. Design scalable, highly available backend services, shared APIs, data models, orchestration, ranking, targeting, experimentation, and measurement systems. Drive cross-functional initiatives, improve reliability and observability, respond to incidents, develop technical roadmaps, mentor engineers, and influence architecture across teams.

Develop scalable backend services, APIs, event-driven workflows, metadata pipelines, configuration tools, deployment controls, and observability for vehicle data collection across fleets. The role owns production systems, improves data quality and campaign monitoring, leads cross-team technical initiatives, and contributes through architecture reviews, testing, code reviews, mentorship, and production support. Collaboration spans AI research, data engineering, vehicle engineering, autonomy, privacy, product, and operations teams.

Develop and support SAP ABAP solutions for Finance, Procurement, Subledger, and BRIM systems. Build HANA CDS views, OData services, SQL objects, AMDPs, and RAP-based Clean Core extensions. Participate in SAP implementations, integrations, code migration, debugging, workflow support, production enhancements, and technical remediation. Collaborate with business stakeholders and distributed engineering teams while following SAP development standards, ATC checks, SDLC practices, and change controls.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Develop and support software and predictive algorithms for the F-35 Prognostics Health Management platform. Responsibilities include investigating algorithm concepts, analyzing large datasets, prototyping in Python and proprietary languages, supporting legacy systems, documenting development and testing, designing software pipelines, and applying configuration management. The role requires collaboration, root-cause analysis, software testing expertise, and independent work within a government defense program.

Develop and deliver Java and Python functionality for the F-35 Prognostics Health Management platform. Responsibilities include evaluating algorithm concepts, analyzing large datasets, prototyping algorithms, documenting development and testing, designing software pipelines, and managing configuration processes. The role requires collaboration across teams, independent problem-solving, and development of predictive capabilities supporting aircraft maintenance and supply chain decisions.

Develop and maintain embedded satellite software and test infrastructure for command and control, mission planning, and data analysis systems. Perform the full software lifecycle, including requirements, architecture, design, coding, testing, integration, documentation, and support. Collaborate with internal and external customers in a structured engineering environment. The role is primarily on-site and may involve work in offices, laboratories, production areas, cleanrooms, or other facilities.