Top Software Engineer Jobs

Architects and implements distributed system and instrument software for DNA synthesis hardware. Develops high-performance, low-latency pipelines handling multi-gigabyte to terabyte-scale data while maintaining end-to-end integrity. Collaborates with hardware, electronics, and chemistry teams to build and troubleshoot complex systems. Provides senior technical leadership and applies expertise in C#, C++, or Rust, memory management, multithreading, messaging, and inter-process communication.

Design, develop, test, deploy, and maintain secure full-stack applications for Mastercard’s Enterprise Credit Risk ecosystem. Build Java and Spring backend services, modern frontend interfaces, REST APIs, microservices, and event-driven integrations. Collaborate with product, risk, architecture, and data teams; troubleshoot complex issues; improve performance, reliability, observability, and security; contribute to cloud-native delivery and CI/CD; mentor engineers; and participate in Agile planning and technical design.

Design, develop, test, and support scalable full-stack applications, APIs, and services for Mastercard’s Core Payments and foreign exchange platforms. Build automated unit, functional, integration, and regression tests; troubleshoot production issues; improve performance, resiliency, observability, and security; and contribute to architecture, code reviews, Agile planning, and technical documentation. Mentor newer engineers and collaborate with product, program management, business, and engineering teams.

Lead technical direction and hands-on development for Mastercard’s enterprise Developer Workbench platform. Design platform components, developer tooling, onboarding environments, AI-assisted development capabilities, and cloud-native integrations. Establish tooling governance, instrumentation, security and compliance practices, and developer productivity metrics. Partner cross-functionally with product and engineering teams, mentor engineers, influence architecture, and advance software engineering standards across the organization.

Leads hands-on development of backend and full-stack capabilities for Mastercard’s real-time Decision Management Platform. Responsibilities include designing scalable services, APIs, workflow tools, integrations, and user experiences; making architecture decisions; writing and reviewing code; mentoring engineers; and supporting testing, deployment, observability, security, and production operations. The role requires translating ambiguous business goals into reliable software and measurable outcomes.

Design, develop, and support production-grade smart contracts, Ethereum/EVM applications, and Web3 integrations. Lead architecture and technical design, ensure scalability and security, participate in code and architecture reviews, mentor engineers, evaluate blockchain technologies, and build cloud-native services using containerization and CI/CD. Collaborate with product, compliance, security, and engineering teams while advancing testing, automation, software quality, and operational excellence.

Leads hands-on development of backend and full-stack capabilities for a real-time decision management platform. Owns architecture, coding, testing, deployment, production support, and technical direction for scalable services, APIs, workflow tools, integrations, and user-facing experiences. Mentors engineers, conducts design and code reviews, improves engineering quality, and collaborates with product and senior stakeholders to deliver reliable, secure, observable software.

Build and scale backend data platforms and services for real-time loan origination and financial reporting. Lead quarterly delivery, guide engineers, define technical plans, collaborate with product and design partners, improve reliability and operational practices, monitor service metrics, participate in on-call support, uphold engineering quality standards, and mentor team members. The role requires developing highly available distributed systems and scalable data pipelines using technologies such as Python, Kotlin, AWS, MySQL, Kubernetes, Spark, and Airflow.

Entry-level software engineer developing and maintaining software components for a centralized customer transaction platform. Responsibilities include writing specifications, implementing code under senior guidance, participating in reviews, fixing bugs, resolving technical issues, and collaborating across Agile or Waterfall environments. The role requires Java 21, Spring Boot, Spring Framework, REST API development, SQL, data storage knowledge, and test-driven development experience.

Leads the design and development of a highly distributed edge computing platform using Go, Kubernetes, microservices, and cloud technologies. Responsibilities include building scalable and fault-tolerant systems, designing APIs, conducting code reviews, troubleshooting complex distributed software issues, optimizing performance and security, collaborating cross-functionally, mentoring engineers, planning projects, and maintaining technical documentation.

Develop and maintain onboard C++ software, core libraries, cloud infrastructure, ML workloads, simulation and evaluation pipelines. Refactor large codebases, improve architecture, build sensor calibration and 3D reconstruction data pipelines, and create automated testing and validation frameworks. The role requires independent software development and debugging, with opportunities across embedded systems, GPU infrastructure, cloud services, and simulation tooling for defense robotics.

Lead software engineering projects for Uber’s Autonomous Mobility & Delivery team. Develop strategic roadmaps, technical designs, scalable backend services, and products supporting autonomous vehicle rideshare experiences. Collaborate across product, design, business, legal, operations, and external engineering teams to deliver reliable systems, improve KPIs, and future-proof Uber’s technology stack for autonomous vehicle use cases.

Develop Android features and platform capabilities for Uber’s autonomous mobility products. Lead technical projects from inception through deployment, collaborate with product, data science, and operations teams, and make trade-offs across performance, quality, and delivery speed. Establish testing, monitoring, and alerting standards, manage complex incidents, improve engineering velocity, and deliver high-quality customer-facing mobile experiences at global scale.

Own architecture and direction for Suno’s AI Operations Engineering team. Build intelligent agents, workflows, internal tools, APIs, authentication patterns, and self-service deployment capabilities that help non-engineering teams scale. Evaluate third-party tools, integrate customer experience systems such as Zendesk, and partner with legal, finance, people, support, and content operations to identify and solve workflow challenges.

Lead the design, development, optimization, and support of large-scale cloud-native data ingestion, storage, processing, and serving systems. Architect real-time systems in Python and C++, support autonomous-driving data platforms, collaborate with infrastructure and vehicle software teams, mentor junior engineers, and guide long-term product strategy. The role focuses on scalable data acquisition, edge filtering, distributed architectures, testing, and reliable production systems.

Develops custom payment platform solutions for partners using cloud-native services, relational databases, APIs, and modern web technologies. Responsibilities include architectural planning, feature development, testing, deployment, monitoring, troubleshooting, code reviews, and stakeholder collaboration. The role supports WEX EnCompass corporate payments applications and requires end-to-end technical ownership, strong security and compliance awareness, and leadership in a distributed engineering environment.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.

Design, develop, debug, and support user-space software for enterprise hardware platforms and software-defined data centers. Work across storage, networking, operating systems, distributed systems, hardware bring-up, system validation, manufacturing release, customer deployment, upgrades, and fleet reliability. Build tools and automation in C, C++, Python, Go, and Rust; improve remote management, RAS, observability, and diagnostics. Partner with hardware, systems, OS, customers, and technology teams while leading cross-functional technical initiatives.

Own full-stack product features from technical scoping through deployment and post-launch iteration. Design schemas, APIs, and business logic; build user-facing applications across frontend, backend, and databases; collaborate with ML researchers, product, design, and engineering; incorporate user feedback; and improve development, testing, and deployment practices.

Leads software engineering within an agile financial-services technology team, designing, developing, testing, debugging, and operationalizing secure, scalable applications. Reviews code, improves automation and application resiliency, promotes responsible AI-assisted development, coaches engineers on validating AI outputs, and evaluates vendor and architectural solutions. Requires advanced Python or Java skills, full SDLC expertise, secure coding knowledge, CI/CD experience, and financial-services IT understanding. Agentic AI, MCP development, and cloud-native experience are preferred.

Build and operate Kubernetes-based controllers, distributed services, APIs, and provisioning systems for OpenAI’s global GPU compute infrastructure. Manage machine and cluster lifecycles across hardware platforms and providers, including network boot, firmware, operating-system images, drivers, configuration, upgrades, recovery, and decommissioning. Improve reliability, concurrency, throughput, latency, and reconciliation while handling partial failures. Integrate new sites and GPU hardware generations and collaborate with hardware, networking, data-center, and infrastructure teams.

Build and own customer-facing installation, configuration, observability, documentation, and deployment capabilities for TorchPass. Debug production infrastructure, support customer evaluations, distinguish product defects from environment issues, improve tests and documentation based on field feedback, define cluster requirements and guarantees, and extend the product to new schedulers and job launchers. The role requires strong Python, Go, Kubernetes or Slurm, infrastructure operations, customer support, and technical documentation skills.

Design, build, and operate distributed storage and file-system platforms for cloud-scale AI training and inference. Architect storage and caching for Kubernetes and GPU workloads, improve performance, reliability, observability, and resiliency, diagnose cross-layer production issues, and lead architecture reviews. Partner across infrastructure, networking, operating systems, and AI platform teams while mentoring engineers and shaping long-term storage strategy.

Assists with daily software engineering responsibilities while developing innovative solutions supporting national security missions. The role requires expertise in MapReduce, cloud technologies, GhostMachine, and QTA. Candidates must hold an active Top Secret/SCI clearance with a favorable polygraph, be U.S. citizens, and have a bachelor's degree in computer science or a related field. Four years of comparable software engineering experience may substitute for the degree.