Top Engineering Jobs

Leads a team of mobile developers while designing and delivering iOS applications using Swift. Responsibilities include managing engineers, mentoring team members, reviewing code, partnering with UX, product, and quality teams, leading major platform components, participating in Agile ceremonies, advocating for mobile development, and improving engineering practices and processes.

Leads full-stack software engineering projects and developer teams, establishing architectural standards and building distributed microservices and cloud-based systems. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and develops responsible AI and GenAI use cases. The role uses multiple programming languages, databases, container orchestration platforms, and cloud services to deliver scalable solutions supporting regulatory requirements and customer experiences.

Lead and grow multiple product-focused engineering teams to design, build, deploy, and operate scalable, highly available full-stack and microservice solutions on AWS. Mentor engineers, drive engineering practices, break monoliths into microservices, improve velocity, and collaborate with product managers to deliver finance-focused systems including event-driven streaming and integrations.

Lead a team of developers to deliver cloud-based solutions, mentor fellow engineers, and manage diverse technology projects addressing regulatory needs.

Build and maintain scalable frontend component libraries and design system tooling. Develop performant, reusable, accessible, and well-tested UI components; translate designs into technical solutions; conduct code reviews; improve web performance; mentor engineers; support adoption across product teams; and help guide the design system roadmap. The role also requires familiarity with AI technologies and collaboration across product, design, and engineering teams.

Leads and grows multiple software engineering teams responsible for customer-facing applications, microservices, and backend systems. Partners with product managers, mentors engineers, improves engineering practices, and drives full-stack solution delivery. Oversees scalable, resilient, and highly available architectures, AWS deployments, modernization of monolithic applications into microservices, innovation, and Agile collaboration.

Designs scalable, secure solution architectures aligned with business goals; develops capability catalogs, leads Architectural Decision Records and High-Level Design reviews, participates in architecture governance, promotes technology strategies, and mentors engineering teams. The role requires extensive software engineering and systems architecture experience, public cloud expertise, stakeholder collaboration, and experience operating in regulated technology environments.

Design, build, and maintain developer APIs and tooling for Kafka; refactor Java/Spring code; implement CI/CD pipelines; ensure platform reliability and incident response; support high-volume Kafka platform operations; deploy secure cloud-native services on OpenShift using Kubernetes and observability tools like Datadog.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Collaborates with product managers to deliver cloud-based solutions, mentors engineers, evaluates emerging technologies, and develops applications using multiple programming languages, databases, container orchestration platforms, and cloud services.

Leads a software engineering team and portfolio of technology projects focused on distributed microservices and full-stack systems. Builds cloud-based solutions supporting regulatory needs and customer experiences, collaborates with product managers, stays current with technology trends, mentors engineers, and occasionally codes or reviews code. The role requires substantial software engineering, cloud computing, and people management experience, with preferred expertise in modern programming languages, cloud platforms, open-source frameworks, Agile practices, and AI productivity tools.