Top Software Engineer Jobs

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

Lead enterprise payments architecture for card-present solutions, provide technical governance and guidance, integrate AI-enabled capabilities securely, develop and review production code, evaluate emerging technologies, and drive architecture decisions across product families.

Design, develop, test, and maintain secure, high-quality production software. Create architecture and design artifacts, analyze large datasets to improve systems, troubleshoot complex problems, and contribute to engineering communities and inclusive team culture.

Lead architecture strategy and roadmaps for cloud-based, AI-enabled payment systems. Advise on technology selection, build reusable secure engineering patterns, develop and review production code, govern APIs and integration patterns, and drive digital transformation for onboarding and self-service experiences.

Design, develop, and troubleshoot secure, scalable Java/Spring Boot microservices on AWS. Use CI/CD, Kafka, and Oracle; apply AI-assisted tools for coding, testing, and documentation; analyze data for system improvement and contribute to team best practices.

Lead architecture for consumer banking products: define target-state architecture, guide technical governance, integrate enterprise AI safely, produce and review production-grade code, and establish AI-enabled SDLC governance, resiliency, security, and auditability across product families.

Lead design and deliver AI-native, cloud-native software components; develop secure high-quality production code; drive adoption of AI-assisted engineering practices, CI/CD automation, SDKs and reusable frameworks; mentor engineers and lead cross-team communities of practice.

Lead full‑stack development of React Native mobile apps and Node.js backends for digital therapeutics. Own architecture, build CI/CD and AWS infrastructure, design multi‑agent AI workflows, mentor engineers, and resolve cross‑cutting production issues.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

Lead development of secure, high-quality production software for analytics and credit risk; design, code (Python/Java), review, troubleshoot, automate remediation, drive CI/CD and cloud-native solutions, mentor junior engineers, evaluate vendors, and promote new technologies.

Lead technical delivery for analytics-focused software: design, develop, test, and operate secure, high-quality production code. Drive automation and CI/CD, evaluate vendor/architecture choices, mentor junior engineers, and promote resilient cloud-native solutions within financial services technology teams.

Design, develop, test, and maintain scalable, secure systems using Java or Python. Contribute to architecture, data analysis, debugging, CI/CD practices, and cross-team engineering communities while improving application resiliency and operational stability.

Lead an agile team to design, build, and deliver secure, scalable web and backend systems. Develop production-quality code, architect microservices (Java/Python/Spring Boot), implement cloud-native and data processing solutions, improve operational stability, mentor engineers, evaluate vendors, and promote engineering best practices and new technologies.

Lead technical design, build, review, and troubleshoot enterprise software; deliver secure, cloud-native production code; drive automation, CI/CD, resiliency, and vendor evaluations; lead engineering communities of practice and promote inclusive team culture.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

As a Senior Backend Engineer at Posh, you will design, build, and maintain scalable systems and APIs for AI features, focusing on Multi-Agent Systems and cloud infrastructure management.

Software Engineers will build AI agents for LiveFlow, focusing on designing integrated agent-driven systems to enhance financial software operations while ensuring data security and compliance.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Drive technical alliances with hyperscalers by developing reference architectures, technical content, and joint solutions. Influence product roadmap, enable sales through training and demos, support co-marketing, and represent Dynatrace in partner communities.

Lead a portfolio of full-stack, cloud-based projects and a team of developers to build distributed microservices and APIs. Collaborate with product managers, mentor engineers, experiment with new technologies (including AI tooling), and deliver scalable AWS-based solutions using container orchestration and modern languages/databases.

Lead enterprise Salesforce platform and AI architecture strategy, governance, and roadmap. Define standards, reusable patterns, integrations, DevSecOps, and operational health. Guide AI adoption and responsible AI governance. Mentor global architecture teams and influence executive stakeholders to align platform investments with security, scalability, and compliance.

Lead enterprise Salesforce and AI architecture, defining strategy, governance, standards, and roadmaps. Drive platform scalability, security, integrations, DevSecOps, and AI adoption while mentoring global teams and ensuring operational excellence and regulatory alignment.

Lead enterprise Salesforce platform and AI architecture strategy, governance, and roadmap. Define standards, reusable patterns, and AI adoption frameworks; ensure security, scalability, integrations, DevSecOps, and operational health. Provide technical leadership, mentor global teams, govern architecture decisions, and drive platform consolidation, cost optimization, and responsible AI deployment across the enterprise.