Top Senior Software Engineer Jobs

Develop and support cloud-native software for investment management research, reporting, analytics, risk management, and portfolio operations. Build ETL pipelines, scalable microservices, data applications, and message-driven systems using Python, AWS, Java, and relational databases. Collaborate with product owners, technical leads, architects, business partners, and vendors in an Agile environment. Automate manual processes, create data-driven solutions, document architecture, and provide on-call support.

Develop scalable, responsive, accessible web applications using modern front-end frameworks. Translate designs into maintainable code, optimize performance, ensure cross-browser compatibility, collaborate with UX/UI and back-end teams, and participate in testing, code reviews, and Agile development.

Lead end-to-end software design, implementation, and testing for the Rocky space program. Drive architecture strategy, oversee code reviews, manage software lifecycle and configuration, mentor teams, and ensure requirements, risk analyses, and industry standards are met. Role is hands-on and 100% onsite.

Build and own full-stack features across APIs, type systems, frontends, component libraries, and data visualization tools. Collaborate with users to understand workflows, create impactful solutions, and develop innovative AI/ML capabilities for defense acquisition technology. The role requires end-to-end feature ownership, strong full-stack experience, and the ability to obtain and maintain a TS/SCI security clearance.

Remote Software Engineer responsible for implementing and supporting Informatica data governance solutions, including Axon, EDC, IDQ, and IICS. The role involves API integrations, workflow automation, data modeling, metadata management, data lineage, enterprise information management, relational databases, cloud data platforms, and project delivery. Candidates must collaborate effectively, resolve conflicts, analyze complex information, meet deadlines, and apply data governance practices, including consideration of privacy regulations.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Design and maintain scalable full-stack applications using C#, .NET, SQL Server, Angular, and Azure. Build serverless ETL and event-driven workflows with Azure Functions and messaging services. Lead architecture discussions, promote testing, CI/CD, observability, and infrastructure-as-code, and collaborate with product, data, RPA, and business teams. Participate in code reviews and incident response while mentoring junior developers and ensuring reliability, security, and performance.

Lead backend engineer responsible for system-level design, implementation, and ownership of low-latency, high-reliability trading and market-data backend systems. Translate business needs into technical designs, write production-ready code, design schemas and integrations, lead reviews, reduce technical debt, and support production while establishing engineering standards and observability.

Lead cross-functional teams to design, build, and deliver high-quality web, mobile, and embedded software. Provide technical direction, mentor developers, promote best practices (TDD, Agile), communicate with clients, and contribute to company technical outreach. Balance hands-on coding with architecture, team coaching, and client-facing responsibilities.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop and scale cloud-based software platforms for advertising measurement, attribution, optimization, and privacy-preserving data collaboration. Build microservices, APIs, reporting tools, and real-time or batch processing solutions using Go and cloud-native technologies. Implement automated testing, monitoring, CI/CD, infrastructure automation, and scalable data infrastructure. Collaborate with product, architecture, SRE, QA, compliance, and other cross-functional stakeholders while troubleshooting issues and contributing to technical decisions.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Lead technical execution, architecture, roadmap, and delivery for the Loyalty product. Manage and grow engineering teams, drive design and operational excellence, ensure reliability/observability, coordinate cross-team integrations, and deliver scalable multi-tenant SaaS features integrated with Zeta’s platform and AI capabilities.

Leads development of secure, scalable Python backend and AWS cloud-native applications using microservices, serverless, containers, and infrastructure as code. Designs distributed systems, APIs, data stores, CI/CD pipelines, observability, resiliency, and security controls. Troubleshoots production incidents, conducts root-cause analysis, optimizes performance, modernizes dependencies, promotes AI-assisted engineering practices, and mentors team members while collaborating with product, platform, SRE, security, and data teams.

Design, develop, and operate scalable full-stack applications, backend services, REST APIs, microservices, and event-driven systems. Build secure AI-powered capabilities and agentic workflows while maintaining strong standards for architecture, testing, reliability, observability, and code quality. Own features through deployment and production support, lead technical discussions and code reviews, mentor engineers, and collaborate across Product, UX, QA, and Engineering.

Develop and maintain scalable, secure enterprise applications using Java, Angular or React, AWS, and cloud-native technologies. Responsibilities include architecture, software development, testing, code reviews, performance engineering, security remediation, production troubleshooting, observability, and reliability improvements. The role collaborates with product and business teams on roadmaps while supporting highly available applications and compliance requirements.

Build and customize enterprise full-stack applications, data connectors, and plugins for customer technology environments. Develop dynamic front ends using React, AngularJS, or NextJS; support backend development and database management; and implement UI event instrumentation. Collaborate using Agile/Scrum, CI/CD, and cloud-native practices while helping lead engineering teams. Bonus work includes generative AI, prompt engineering, search and AI APIs, cloud platforms, and legal technology.

Own and deliver backend lakehouse infrastructure goals, lead engineers through complex problems, and build highly available distributed data systems. Collaborate with product, design, analytics, and engineering stakeholders; define scalable technical solutions; improve code quality and engineering standards; monitor operational health; support on-call responsibilities; and mentor team members.

Leads technical strategy, architecture, operational excellence, mentorship, and multi-team software delivery. Designs maintainable distributed systems using microservices, improves monitoring and operational maturity, drives innovation, and collaborates with stakeholders across departments. Requires 9+ years of enterprise software development experience, public-cloud expertise, strong leadership, communication, analytical, documentation, and problem-solving skills.

Leads the design and development of full-stack systems supporting diagnostics and genomic data processing. Responsibilities include architecting microservices, scaling bioinformatics workflows, developing AI-assisted applications, optimizing PostgreSQL and Redis, managing GCP infrastructure and CI/CD, and integrating APIs and agentic workflows. The role also involves technical leadership, mentoring, cross-team collaboration, architectural decision-making, and bridging software engineering with computational biology teams.

Set technical direction for Toast’s Developer Experience platform, including local development, build tooling, shared libraries, testing frameworks, and developer portals. The role combines hands-on software engineering with architecture, cross-team technical leadership, AI-assisted development, developer productivity measurement, mentorship, and roadmap prioritization.

Leads software engineering for equity derivatives risk management, designing, developing, troubleshooting, and reviewing secure Java applications. Builds resilient microservices, analyzes JVM and system performance, supports databases, messaging, cloud platforms, and full software development lifecycle tools. Drives automation, operational stability, and responsible adoption of AI-assisted engineering practices, including validation for security, correctness, and performance. Leads architectural evaluations with vendors and internal teams.

Leads architecture, development, and operations for secure, scalable cloud-native platforms. Designs backend services, GraphQL and REST APIs, React micro-frontends, content pipelines, search capabilities, and event-driven integrations using Java, Python, Go, and AWS. Establishes engineering standards for security, resilience, observability, CI/CD, and cost efficiency; mentors engineers, drives cross-team initiatives, evaluates technologies, and promotes responsible AI-assisted development practices.