Top Software Engineer Jobs

The Senior Software Engineer will design, build, and maintain features for a cloud platform using Golang and AWS, focusing on performance optimization and development best practices.

Build and scale full-stack systems with a backend focus for an AI platform serving creator talent agencies. Responsibilities include designing resilient asynchronous workflows, agentic LLM systems, human-in-the-loop feedback infrastructure, stateful backend architecture, and fault-tolerant integrations with Google, TikTok, and Instagram APIs. The role requires strong product intuition, ownership, and in-person collaboration in San Francisco.

Develops and maintains enterprise API applications, distributed systems, microservices, event-driven platforms, and cloud-native solutions. Builds CI/CD pipelines, conducts performance and resiliency analysis, supports testing and implementation, and contributes to modernization, domain-driven design, and shared-service initiatives. Designs scalable applications across multiple platforms, creates technical documentation, performs complex analysis, and delivers financial-services solutions involving investment analytics and personal investing applications.

Develops and architects enterprise Java and Spring Boot applications, microservices, and AWS cloud solutions using relational and NoSQL databases. Leads application architecture, lifecycle planning, testing, QA readiness, documentation, risk management, and delivery across complex projects. Establishes development and CI/CD practices, advises management on technical strategy, resolves business technology issues, mentors junior engineers, and creates solutions for financial-services applications.

Leads architectural innovation and develops complex enterprise software across multiple platforms. Designs application architectures, distributed systems, web applications, databases, and caching frameworks. Oversees testing, QA readiness, documentation, release management, project schedules, risk management, and technical strategy. Collaborates with business and technology stakeholders, resolves project issues, mentors junior engineers, and delivers solutions using Java, Spring, microservices, cloud technologies, DevOps practices, and Oracle databases.

Designs and delivers large-scale cloud-native applications and services using full-stack, event-driven, and service-oriented architectures. Leads application architecture, development, testing, QA readiness, CI/CD, documentation, project planning, risk management, and technical strategy across complex initiatives. Partners with architects and business stakeholders, resolves technology issues, advises management, develops creative solutions, and mentors junior engineers.

Designs and develops enterprise-grade, service-side software using Java and Spring technologies in Azure cloud environments. Builds RESTful APIs, middleware, event-driven integrations, and scalable containerized applications. Leads architecture and testing practices, ensures QA readiness, manages complex project plans, resolves technology issues, advises senior management, and mentors junior engineers. Supports production systems through monitoring, logging, deployment automation, and performance optimization.

Develop and maintain Cloudflare’s Zero Trust desktop client for Windows using Rust and platform-native APIs. Build high-performance networking and security capabilities, improve code quality, write thoroughly tested and documented code, debug complex system and network issues, contribute to technical designs, and mentor engineers. The role requires expertise in Windows internals, drivers, networking protocols, VPN technologies, and multithreaded asynchronous programming.

Leads technical direction for major platforms and cross-team initiatives. Designs scalable distributed systems, APIs, services, and data contracts; guides architecture evolution and migrations; writes code and resolves critical technical issues. Improves reliability, observability, incident response, and operational excellence. Partners with product and business stakeholders, develops AI and GenAI capabilities, influences without direct authority, and mentors senior engineers.

Set company-wide technical direction across product and platform architecture; lead large-scale architecture transformations, distributed systems design, resiliency, observability, and operational excellence. Remain hands-on through coding, prototyping, and design reviews while developing AI and GenAI capabilities. Influence executives and cross-functional leaders, improve global commerce reliability and performance, and mentor senior engineers toward Principal-level impact.

Owns complex software features, services, and workflows from definition through production. Leads technical execution, makes architecture and API decisions, writes and reviews production code, improves reliability and performance, partners with Product stakeholders, coordinates cross-team dependencies, applies AI-assisted development, and mentors engineers. The role requires operating distributed systems and production services while maintaining strong testing, observability, security, and operational practices.

Build and maintain reliable software products and platforms, including APIs, services, user-facing features, data workflows, and operational tools. Responsibilities include implementation, testing, releases, production support, defect resolution, monitoring, documentation, code reviews, and collaboration with Product and Design. The role also involves using AI-assisted development tools, learning business and technical domains, and contributing to continuous improvement.

Leads software engineering for JPMorgan Chase’s Employee Platforms team. Designs, develops, tests, troubleshoots, and reviews secure, scalable production code using Java, Spring Boot, and React. Drives AI-assisted engineering practices, automation, application resiliency, continuous delivery, modernization, incident management, and operational stability. Evaluates architectural solutions with vendors and internal teams and leads software engineering communities of practice.

Leads software engineering within an agile corporate technology team, designing, developing, testing, troubleshooting, and supporting secure, scalable applications. Reviews code, improves automation and operational stability, promotes AI-assisted engineering practices, evaluates architectural solutions, and drives adoption of emerging technologies. Requires Java, Spring Boot, React, cloud-native development, CI/CD, software lifecycle expertise, production support, and financial-services technology knowledge.

Support government client by developing, testing, and modernizing software. Integrate data sources, APIs, and web services; configure GitLab pipelines; collaborate with UI/UX designers; follow SDLC and agile practices; maintain documentation and participate in sprint reviews and demos.

Leads development of secure, scalable Java and Spring Boot microservices for real-time reference data products. Owns features from requirements through deployment and monitoring, optimizes distributed data pipelines, writes comprehensive tests, reviews code, addresses technical debt, supports production incidents, and promotes AI-assisted engineering practices. The role requires extensive AWS, event-driven architecture, cloud-native development, databases, DevOps, and CI/CD expertise, with preferred experience in data engineering, Databricks, data mesh, and high-scale real-time systems.

Leads software engineering efforts within an agile team, designing, developing, troubleshooting, reviewing, and delivering secure, scalable production software. Drives adoption of AI-assisted engineering practices, automation, continuous delivery, and responsible AI standards. Provides technical leadership across AWS, Kubernetes, Java, Spring Boot, and related platforms; improves application resiliency, resolves recurring issues, evaluates architectures and vendors, and promotes modern engineering practices across communities of practice.

Leads software engineering across design, development, troubleshooting, code review, automation, and production stability. Builds secure, scalable solutions using AWS, Kubernetes, Java, Spring Boot, and other programming languages. Drives responsible adoption of AI-assisted engineering tools, establishes validation standards, evaluates architectures and vendors, automates recurring remediation, and promotes engineering best practices through communities of practice.

Leads software engineering efforts across design, development, troubleshooting, code review, automation, cloud platforms, Kubernetes, and secure production delivery. Drives adoption of AI-assisted engineering practices with validation and responsible-use standards. Evaluates architectures and vendors, improves application resiliency and operational stability, promotes automation, and leads engineering communities of practice.

Leads the design, development, and operation of Mastercard’s next-generation edge platform and backend services. Responsibilities include architecture, technical strategy, scalable distributed systems, testing, CI/CD, observability, security, production support, incident response, and cross-team alignment. The role mentors engineers, drives complex initiatives through deployment, resolves reliability and performance issues, and contributes to hiring and talent development.

Lead architecture and development of a scalable User Identity Graph and supporting data pipelines. Coordinate cross-team integrations, improve deployment automation, telemetry, monitoring, security, reliability, and incident response. Lead experimentation and metrics analysis, perform debugging and root-cause analysis, review code and tests, and mentor engineers while promoting secure, maintainable coding practices and responsible AI adoption.

Develop and maintain Windows desktop applications for spectral analysis, optimization, recipe development, and measurement validation in semiconductor metrology. Responsibilities include requirements analysis, software design, interactive data visualization, backend integration, debugging, testing, code reviews, and collaboration with algorithm and application engineers. The role requires C#, .NET, WPF, C++, asynchronous programming, multithreading, and strong problem-solving skills.

Lead an R&D team developing C++ software and AI/ML technologies for static and dynamic transistor-level analysis and characterization of advanced digital and mixed-signal circuits. Responsibilities include building characterization data-mining infrastructure, modeling aging and variation effects in advanced technology nodes, and applying data structures, algorithms, and software engineering practices to improve analysis speed, capacity, and usability.

Leads full-stack software engineering for market risk, model risk, and treasury technology. Responsibilities include designing, developing, testing, debugging, and operating secure, scalable applications; providing technical direction; governing AI-assisted engineering practices; validating AI outputs for security and correctness; improving SDLC automation; and serving as a subject matter expert across engineering teams.

Develop highly reliable full-stack software and applications supporting SpaceX launch operations, manufacturing, Starlink, and mission-critical systems. Responsibilities include designing architectures, building prototypes, improving application performance, solving user problems, and participating in code reviews. The role involves ownership across software engineering and product development, including testing, deployment, monitoring, and collaboration with engineering teams.