Top Software Engineer Jobs

Lead and deliver secure, scalable Java/Spring enterprise applications; drive adoption of enterprise AI-assisted engineering practices; design, develop, review, and stabilize production code; evaluate vendors and lead engineering communities of practice.

Lead technical contributor driving design, development, and operational stability of production software. Builds secure, high-quality code, automates remediation, champions AI-assisted engineering practices, evaluates vendor architectures, and leads engineering communities to adopt resilient, secure CI/CD and cloud-native solutions in a financial-services environment.

Lead technical contributor on a risk technology team designing, building, and operating scalable, secure data solutions. Implement Snowflake data models, Databricks/Spark ETL pipelines, APIs on AWS, and CI/CD automation. Drive AI-assisted engineering adoption, mentor junior engineers, and ensure operational resiliency and secure software delivery.

Lead technical design and development of Salesforce solutions, write and review secure production code, drive operational stability and automation, evaluate vendor and architectural choices, champion AI-assisted engineering practices, and mentor engineering communities to adopt secure, resilient, and reusable patterns.

Lead engineering efforts to design, build, and maintain AEM-based web applications; deliver secure, high-quality code; drive AI-assisted development adoption; integrate Adobe marketing tools; ensure resiliency, accessibility, SEO, and performance; automate recurring remediation; evaluate vendors and coach teams on responsible AI and security within financial services.

Lead developer responsible for designing, building, and modernizing cloud-native Java/Spring Boot applications on AWS. Drive test-driven development, CI/CD, automated testing, code reviews, production troubleshooting, performance tuning, and mentor junior engineers. Promote enterprise-authorized AI-assisted engineering practices and collaborate with global teams through the full SDLC and release processes.

Lead an agile engineering team to design, build, test, and operate secure, scalable Java-based systems. Provide technical guidance, drive architecture and tooling decisions, adopt AI-assisted development practices, ensure CI/CD and resiliency, and manage containerized deployments (Kubernetes). Advocate firmwide SDLC standards and mentor engineers.

Lead design, build, and operate scalable data platform components and pipelines (batch and real-time) using Spark, Flink, Kafka, Airflow and Databricks. Implement data modeling, governance, cataloging, observability, and production-grade code; partner with stakeholders and lead technical evaluations and communities of practice.

Lead technical design and deliver full‑stack software solutions. Develop, review, debug, and maintain production code; drive automation and operational stability; champion enterprise AI-assisted engineering practices; evaluate vendor/architectural solutions; lead engineering communities of practice and promote secure, resilient SDLC practices.

Lead architecture and delivery of high-throughput Databricks/Spark data pipelines and lakehouse patterns on AWS. Drive performance tuning, governance (Unity/Glue Catalog), CI/CD, automation, reusable libraries (Python/Java), and adoption of enterprise AI-assisted engineering practices while mentoring teams and ensuring secure, scalable production operations.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

Lead technical design, development, and operational stability of asset and wealth management systems. Drive adoption and validation standards for enterprise-authorized AI-assisted engineering, set reference architectures across Java, React, Kafka, Oracle/Aurora, Airflow, and Spark, guide cloud deployments, automate remediation, and evaluate vendors and integration approaches.

Lead and contribute to iOS app architecture and development, produce secure high-quality production code, mentor engineers, drive AI-assisted engineering adoption, evaluate vendor/architecture options, partner with product/design/backend teams to deliver performant, accessible, and resilient native iOS experiences.

Lead design and build the API Platform: develop secure, scalable production code, remove technical debt, drive architecture and API standards, mentor engineers, adopt enterprise AI-assisted development practices, and ensure operational stability across cloud-native microservices.

Lead software engineer responsible for designing, implementing, and operating a managed Spark/Databricks on Kubernetes data platform in AWS. Build production-grade cloud solutions, automate operational stability, support data engineering and ML teams, drive vendor evaluations, and promote enterprise AI-assisted engineering practices.

Lead design and implementation of a large-scale Marketing and Events data platform. Build and transform ETL on cloud/Databricks, ensure data quality, automate pipelines, enforce data standards, and deliver solutions using agile practices while mentoring and hiring team members and partnering with stakeholders.

Lead design, development, and production support of secure, cloud-native data and analytics systems. Drive adoption of AI-assisted engineering practices, improve automation and resiliency, evaluate vendor solutions, and mentor teams on secure, scalable software delivery.

Lead an agile team to design, develop, and maintain high-performance, secure electronic trading systems. Build Java production code, optimize low-touch algorithmic execution, integrate market data, mentor engineers, and promote firmwide engineering best practices.

Lead technical design and implementation of secure, scalable software solutions. Develop, review, and debug production code; drive automation, CI/CD, and operational resilience. Champion AI-assisted engineering best practices, mentor engineers, evaluate vendor architectures, and promote reuse and secure validation standards across teams.

Lead development and delivery of KDB-based real-time processing systems. Provide technical direction, write and review production code, optimize large-dataset query performance, ensure scalability, resiliency, and CI/CD, mentor team members, manage delivery planning and testing, and advocate firmwide engineering practices.

Lead a cross-functional agile team to design, build, test, and operate scalable, secure full‑stack applications. Implement microservices (Java/Spring Boot or Python), cloud-native architectures, RESTful APIs, and high-volume data processing with SQL/NoSQL. Drive code quality, automation/CI-CD, vendor evaluations, and engineering communities of practice while improving operational stability and observability.

Lead development of fraud protection microservices: design, implement, benchmark, and optimize scalable secure systems on AWS. Drive performance best practices, adopt enterprise AI-assisted engineering, mentor teams, and collaborate with stakeholders to ensure application resiliency and operational stability.

Lead and contribute to design, develop, and maintain scalable Java/Spring Boot services on AWS. Drive adoption of enterprise-authorized AI-assisted engineering practices, ensure operational stability and monitoring (Prometheus/Grafana), troubleshoot complex issues, participate in architecture and code review, automate remediation, and mentor/lead software engineers.

Lead an agile engineering team to design, build, and operate secure, scalable software. Provide technical direction, write and review production code, champion enterprise AI-assisted development practices, drive SDLC improvements, and manage cloud-native deployments and monitoring across AWS and data platforms.

Lead Software Engineer designs, develops, and delivers secure, scalable cloud-native applications (Python/Java/React/AWS). Leads architecture reviews, promotes AI-assisted engineering practices, drives CI/CD and automation, mentors teams, evaluates vendors, and improves operational stability and resiliency.