Top Senior Software Engineer Jobs

Own end-to-end frontend development for core crypto payment flows across web and mobile. Improve latency, availability, and SLOs; build user-facing features (contacts, real-time transaction status); identify and fix performance bottlenecks; partner with product/design/backend; mentor junior engineers to reduce customer friction at scale.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

Design, develop, and evolve backend data platforms and services; improve scalability, performance, reliability, and operability; define APIs and system boundaries; troubleshoot production issues; mentor engineers; evaluate and adopt new technologies; collaborate with data engineers and product managers.

Lead an agile engineering team to design, build, and operate secure, scalable Java/React cloud-native applications on AWS. Drive adoption of AI-assisted development practices, evaluate vendor solutions, provide technical guidance, and ensure production quality, stability, and secure responsible AI usage across the SDLC.

Leads end-to-end delivery of software and data solutions, including Java-based microservices, full-stack applications, cloud-native AWS services, data architectures, AI/ML models, KPIs, and analytical reporting. Provides technical leadership across application, platform, and data teams; establishes roadmaps and governance; improves reliability through observability and SRE practices; and drives CI/CD automation, legacy modernization, and responsible AI-assisted engineering practices.

Lead design and delivery of scalable, cloud-native platform capabilities (Java-based microservices). Drive full SDLC, integrate AI/ML components, conduct design reviews, apply DevOps and CI/CD practices, mentor engineers, and collaborate cross-functionally to meet roadmap and quality goals.

Design, develop, test, and maintain cloud-based commercial tax software using full-stack technologies. Responsibilities include building features, resolving technical issues, conducting code reviews, collaborating with cross-functional teams, deploying containerized applications to Azure, documenting solutions, estimating development work, and mentoring junior engineers. The role also involves evaluating new technologies and ensuring software meets performance, security, scalability, and quality standards.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Develop and support mainframe-based financial reporting systems involving premiums, claims, and reserve calculations. Translate actuarial business needs into software changes, collaborate with technical and business experts, guide less experienced engineers, conduct code and design reviews, and improve engineering standards and core systems. The role requires strong mathematical reasoning, problem-solving, communication, prioritization, and knowledge of mainframe technologies, change management, SQL, software architecture, and design patterns.

Leads delivery of scalable, secure software features and AI/ML integrations across the full development lifecycle. Responsibilities include coding, technical design, testing, CI/CD, code reviews, debugging, performance monitoring, defect management, stakeholder collaboration, and peer mentorship. The role supports cloud-native solutions across web, mobile, and in-store platforms while promoting engineering quality, maintainability, and continuous improvement.

Design, develop, test, and optimize scalable React and web applications powering Walmart.com checkout. Build accessible, responsive interfaces; collaborate with product, UX, and engineering teams; contribute to architecture and performance improvements; troubleshoot production issues; follow engineering best practices; mentor junior engineers; and explore GenAI capabilities.

Design, develop, and maintain secure, production-grade data-intensive applications and platforms. Build reusable frameworks, leverage enterprise AI-assisted development tools responsibly, collaborate across teams, and ensure scalability, observability, and operational stability for a global KYC and risk data platform.

Design and build scalable services, APIs, and data models for content and catalog systems. Lead system and low-level design, drive end-to-end delivery, collaborate with product and architecture teams, improve CI/CD and observability, mentor engineers, and safely integrate AI/ML into content workflows.

Build and ship AI-powered products from prototype to production. Develop full-stack web features, including backend services, APIs, and polished frontend interfaces. Collaborate with researchers, product managers, and designers to translate model capabilities into usable experiences. Own technical architecture, scalability, reliability, and maintainability while making pragmatic tradeoffs in ambiguous environments. Help establish engineering practices and standards for a growing product engineering team.

Leads delivery of scalable software features and models across the full development lifecycle, including coding, testing, debugging, CI/CD, support, observability, and performance optimization. Integrates AI/ML and generative AI capabilities, translates designs into secure technical solutions, conducts code reviews, and collaborates with stakeholders. The role focuses on enterprise-scale mobile applications, including production releases, UI/UX, API integration, lifecycle management, and accessibility.

Develop and deliver scalable, secure software, services, APIs, and AI/ML components across the full software lifecycle. Responsibilities include coding, solution design, testing, deployment, CI/CD, observability, performance monitoring, stakeholder collaboration, technical requirement definition, mentoring, and continuous improvement within Walmart’s Advertising Technology platform.

Leads end-to-end development of scalable platform capabilities, including infrastructure, tooling, AI/ML frameworks, and data-intensive systems. Designs and implements software using Scala, Python, Java, Kafka, Spark, and GCP; integrates generative AI; drives API design, testing, CI/CD, monitoring, and troubleshooting. The role also includes architecture decisions, code reviews, cross-functional collaboration, mentoring engineers, and promoting engineering best practices.

Develop scalable Java and Spring Boot microservices, event-driven applications, real-time data pipelines, and responsive web interfaces. Build and support distributed systems using Kafka, Kubernetes, Docker, and cloud-native platforms. Implement CI/CD automation, observability, alert orchestration, and integrations with databases, AI, machine learning, knowledge graph, and IoT platforms. Participate in architecture reviews, testing, documentation, troubleshooting, and mentoring while collaborating with platform, DevOps, SRE, and data engineering teams.

Senior Software Engineer responsible for designing, implementing, testing, deploying, and supporting scalable, secure services, APIs, and AI/ML-enabled components. The role includes full lifecycle ownership, CI/CD, automated testing, code reviews, debugging, performance monitoring, observability, and cross-functional collaboration. The engineer will build high-throughput, low-latency systems using technologies such as Java, Rust, Kafka, Cassandra, Resilience4J, and Kubernetes while driving technical improvement and reliable customer-facing experiences.

Leads mission-critical software architecture, design, implementation, integration, verification, and lifecycle maintenance. Ensures compliance with software processes, policies, reference architectures, and industry standards. Coordinates across Mission Systems teams, supports containerized architecture, executes research and development projects, collaborates on testing, and mentors engineers. The role is fully onsite in Berkeley, Missouri and requires an active Secret clearance, SAP access eligibility, U.S. Person status, and successful completion of a technical assessment.

Leads performance engineering for scalable backend services, APIs, microservices, and distributed systems. Diagnoses production performance issues, identifies bottlenecks, develops optimization strategies, and conducts load and capacity testing. Collaborates with DevOps, SRE, architects, and engineering teams on resilience, architecture, and technical design. Mentors junior engineers and drives performance best practices.

Own and lead Coinbase’s developer infrastructure platforms, including CI, build systems, and deployment orchestration. Set technical direction for complex cross-team initiatives, improve build and deployment performance, manage reliability and observability, and drive platform migrations and adoption. Partner with engineering leaders, operate production systems, mentor engineers, and deliver scalable tools used across the organization.

Owns delivery of backend money movement and card ledger systems, leading engineers through complex problems and ambiguity. Collaborates with product, design, analytics, and engineering stakeholders; defines scalable technical solutions; supports system availability, monitoring, on-call operations, code quality, and engineering standards. The role also includes mentoring and developing team talent while building highly available distributed systems for Affirm’s financial products.

Design, build, and operate highly available, low-latency distributed services for pricing and marketplace infrastructure. Lead end-to-end feature implementation, drive technical direction, improve reliability through observability and automation, collaborate across product and engineering teams, and safely integrate AI/ML-enabled solutions into production.