Software Development Engineer

Description Job Location The primary work location for this role is Berwyn, PA with a hybrid work model. About Envestnet Envestnet is an adaptiveWealthTechcompany that isredefining the future of wealth management byhelpingadvisors meet the moment with its comprehensive technology, actionable insights, and industry leading support.Backed byover25 years of experience and approximately$7.0 trillionin platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs. For a deeper look at how Envestnet is shaping the future of financial advice, visit The Team You’ll Join Our team builds and operates mission-critical trading and investment technology that powers adaptive wealth management. We develop scalable, resilient systems that support the full transaction lifecycle, combining distributed systems engineering, financial domain expertise, and platform reliability. What makes this team exciting is the blend of deep technical ownership and collaboration. Engineers partner closely with product, platform, and risk/compliance teams to modernize services, leverage AI and automation, and solve complex challenges end-to-end, all while delivering solutions that operate reliably in a regulated environment. How You ’ll Contribute Responsible for building scalable, secure platforms in support of Envestnet business operations, including wealth management, financial data aggregation and advisor-driven technology solutions. Works across cloud-based architectures, integrating complex data sources and APIs to deliver reliable, high-performance systems. Collaborates with product managers, data scientists and compliance stakeholders to meet both business and regulatory requirements. Designs, develops, and maintains complex features or system components. Leads technical design for small-to-medium features or services. Identifies root causes of issues and implement robust, scalable fixes. Optimizes code for performance, scalability, and reliability. Mentors junior engineers (P1–P2) and provide technical guidance. Drives improvements in coding standards, testing practices, and CI/CD processes. Collaborate with stakeholders to refine requirements and clarify technical constraints Troubleshoots production issues and lead resolution efforts. Balances multiple priorities across projects with minimal supervision. Implements and improves basic observability (logging, monitoring, alerting) for owned services. Supports production troubleshooting in collaboration with DevOps/SRE teams. Designs and delivers scalable fintech product services and distributed systems with a focus on performance, resilience, and transactional correctness. Defines service boundaries, data ownership models, and fault-tolerant workflows for high-throughput, low-latency applications. Designs and implements AI-driven solutions and automation capabilities while ensuring security, governance, auditability, and compliance within regulated financial environments. Partners with product, platform, and compliance stakeholders to translate business and regulatory requirements into production-ready technical solutions. What You ’ll Need to Bring Candidates should demonstrate the relevant experience, skills, and capabilities needed to successfully perform in the role. Relevant experience may be gained through current responsibilities, prior roles, project work, leadership opportunities, or other comparable experiences. Strong experience designing distributed, transactional systems in fintech or regulated domains. Deep understanding of data consistency, idempotency, fault tolerance, and scalability. Hands‑on experience building stateful AI agents with well‑defined short‑ and long‑term memory. Solid understanding of security, observability, and production incident handling. Ability to communicate architectural decisions and trade-offs clearly. Languages & Frameworks: Java, Spring Boot, Python Data & Systems: SQL, Distributed Systems, Transactional Services Messaging: Kafka, Async Messaging Cloud & Platform: Cloud Infrastructure, Kubernetes, Docker AI & Agents: Agentic AI (LangGraph), RAG, Vector Stores Security & Ops: Security Tooling, Observability & Monitoring Platforms Nice‑to‑Haves Experience with event driven architectures (Kafka, async messaging). Familiarity with AI cost control, evaluation, and governance practices. Prior experience in trading systems, real‑time financial platforms, or regulated production environments. Why You’ll Enjoy Working at Envestnet Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference. We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future. The opportunity is now! #J-18808-Ljbffr