{"schemaVersion":"jobsearcher.job.v1","id":"8d13ff372afdf9d40fc0dac5","url":"https://jobsearcher.com/jobs/8d13ff372afdf9d40fc0dac5","canonicalUrl":"https://jobsearcher.com/jobs/8d13ff372afdf9d40fc0dac5","title":"Senior Software Engineer","description":"Description\r\nEnvestnet is seeking a Senior Software Engineer to join our Technology department. This is a hybrid role, with in-office work required at our Berwyn, PA office location.\r\nEnvestnet is transforming the way financial advice is delivered through its connected technology, advanced insights, and asset management solutions – backed by industry-leading service and support. Since 1999, Envestnet has served the wealth management industry and today supports trillions in platform assets, serving over a hundred thousand financial advisors. The vast majority of the nation's leading banks, the largest wealth management and brokerage firms, and over 500 of the largest RIAs rely on Envestnet's wealth management platform and solutions to drive business growth, boost productivity, and deliver better financial outcomes for their clients.\r\nFor more information, please visit www.envestnet.com.\r\nEnvestnet's Strategy\r\nDeliver the industry-leading wealth management platform, powered by advanced data and insights\r\nLeverage our scale and efficiencies to serve our clients' needs comprehensively\r\nEnable financial advisors to deliver more holistic advice – reflecting a more complete view of their clients' financial lives, and in a more connected environment\r\nJob Summary\r\nSeeking a hands-on Senior Software Engineer to design, build, and evolve a fintech product platform built on Java-based distributed systems, while introducing AI Agent–driven capabilities in a secure, compliant, and production-ready manner.\r\nThis role emphasizes system design ownership, architectural depth, and technical leadership, with a strong focus on transactional correctness, scalability, resilience, and the controlled, auditable use of agentic AI within regulated financial systems.\r\nYou will work closely with engineering leaders, product management, compliance, and platform teams to translate complex business and regulatory requirements into scalable, high-quality technical solutions.\r\nKey Responsibilities\r\nDesign and own the architecture and delivery of core fintech product services. A focus on trade generation, execution and integration with trading partners is desirable.\r\nDefine service boundaries, data ownership, and data consistency models for high-throughput, low-latency distributed systems.\r\nArchitect, review, and implement Java / Spring Boot microservices with a strong focus on performance, resilience, transactional correctness, and observability.\r\nEnsure idempotency, fault tolerance, and safe failure modes across distributed and transactional workflows.\r\nDesign and implement AI Agent-driven workflows using agentic AI frameworks (e.g., LangGraph) for product and operational use cases such as workflow automation, operational decision support, and exception or risk triage.\r\nArchitect multi-agent orchestration with clear agent role separation, deterministic execution paths, and controlled interaction between agents and core systems.\r\nDesign and manage agent memory strategies, including short-term or session memory, long-term structured memory, and memory scoping, retention, and auditability.\r\nEnsure security, compliance, and governance for AI-driven flows, including guardrails, approval steps, traceability of agent decisions, safe fallbacks, and human-in-the-loop controls.\r\nCollaborate closely with product, engineering, platform, and compliance teams to translate business and regulatory requirements into scalable, production-ready architectures.\r\nParticipate in design and architecture reviews, story refinement, technical documentation, and acceptance criteria definition as part of an Agile/Scrum team.\r\nParticipate in software release, deployment, and production support activities, ensuring compliance with organizational security, risk, and operational policies.\r\nAdherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested.\r\nAs part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.\r\nRequired Qualifications\r\n7-10 years of total experience in backend engineering with Java/Python and modern frameworks.\r\nMust have minimum 2 years hands-on experience in AI & ML.\r\nStrong experience designing distributed, transactional systems in fintech or regulated domains.\r\nDeep understanding of data consistency, idempotency, fault tolerance, and scalability.\r\nHands-on experience building stateful AI agents with well-defined short- and long-term memory.\r\nSolid understanding of security, observability, and production incident handling.\r\nAbility to communicate architectural decisions and trade-offs clearly.\r\nNice to Have\r\nExperience with event driven architectures (Kafka, async messaging).\r\nFamiliarity with AI cost control, evaluation, and governance practices.\r\nPrior experience in trading systems, real-time financial platforms, or regulated production environments.\r\nTech Stack\r\nLanguages & Frameworks: Java, Spring Boot, Python\r\nData & Systems: SQL, Distributed Systems, Transactional Services\r\nMessaging: Kafka, Async Messaging\r\nCloud & Platform: Cloud Infrastructure, Kubernetes, Docker\r\nAI & Agents: Agentic AI (LangGraph), RAG, Vector Stores\r\nSecurity & Ops: Security Tooling, Observability & Monitoring Platforms\r\nEnvestnet\r\nBe a member of an innovative and industry leading financial technology and solutions company\r\nCompetitive Compensation/Total Reward Packages that include:\r\nHealth Benefits (Health/Dental/Vision)\r\nPaid Time Off (PTO) & Volunteer Time Off (VTO)\r\n401K – Company Match\r\nAnnual Bonus Incentives\r\nParental Stipend\r\nTuition Reimbursement\r\nStudent Debt Program\r\nCharitable Match\r\nWellness Program\r\nEnvestnet is an Equal Opportunity Employer.\r\nJ-18808-Ljbffr","company":"Envestnet","rawCompany":"envestnet","city":"Wayne","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-08-07T00:57:50.484Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer","description":"Description\r\nEnvestnet is seeking a Senior Software Engineer to join our Technology department. This is a hybrid role, with in-office work required at our Berwyn, PA office location.\r\nEnvestnet is transforming the way financial advice is delivered through its connected technology, advanced insights, and asset management solutions – backed by industry-leading service and support. Since 1999, Envestnet has served the wealth management industry and today supports trillions in platform assets, serving over a hundred thousand financial advisors. The vast majority of the nation's leading banks, the largest wealth management and brokerage firms, and over 500 of the largest RIAs rely on Envestnet's wealth management platform and solutions to drive business growth, boost productivity, and deliver better financial outcomes for their clients.\r\nFor more information, please visit www.envestnet.com.\r\nEnvestnet's Strategy\r\nDeliver the industry-leading wealth management platform, powered by advanced data and insights\r\nLeverage our scale and efficiencies to serve our clients' needs comprehensively\r\nEnable financial advisors to deliver more holistic advice – reflecting a more complete view of their clients' financial lives, and in a more connected environment\r\nJob Summary\r\nSeeking a hands-on Senior Software Engineer to design, build, and evolve a fintech product platform built on Java-based distributed systems, while introducing AI Agent–driven capabilities in a secure, compliant, and production-ready manner.\r\nThis role emphasizes system design ownership, architectural depth, and technical leadership, with a strong focus on transactional correctness, scalability, resilience, and the controlled, auditable use of agentic AI within regulated financial systems.\r\nYou will work closely with engineering leaders, product management, compliance, and platform teams to translate complex business and regulatory requirements into scalable, high-quality technical solutions.\r\nKey Responsibilities\r\nDesign and own the architecture and delivery of core fintech product services. A focus on trade generation, execution and integration with trading partners is desirable.\r\nDefine service boundaries, data ownership, and data consistency models for high-throughput, low-latency distributed systems.\r\nArchitect, review, and implement Java / Spring Boot microservices with a strong focus on performance, resilience, transactional correctness, and observability.\r\nEnsure idempotency, fault tolerance, and safe failure modes across distributed and transactional workflows.\r\nDesign and implement AI Agent-driven workflows using agentic AI frameworks (e.g., LangGraph) for product and operational use cases such as workflow automation, operational decision support, and exception or risk triage.\r\nArchitect multi-agent orchestration with clear agent role separation, deterministic execution paths, and controlled interaction between agents and core systems.\r\nDesign and manage agent memory strategies, including short-term or session memory, long-term structured memory, and memory scoping, retention, and auditability.\r\nEnsure security, compliance, and governance for AI-driven flows, including guardrails, approval steps, traceability of agent decisions, safe fallbacks, and human-in-the-loop controls.\r\nCollaborate closely with product, engineering, platform, and compliance teams to translate business and regulatory requirements into scalable, production-ready architectures.\r\nParticipate in design and architecture reviews, story refinement, technical documentation, and acceptance criteria definition as part of an Agile/Scrum team.\r\nParticipate in software release, deployment, and production support activities, ensuring compliance with organizational security, risk, and operational policies.\r\nAdherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested.\r\nAs part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.\r\nRequired Qualifications\r\n7-10 years of total experience in backend engineering with Java/Python and modern frameworks.\r\nMust have minimum 2 years hands-on experience in AI & ML.\r\nStrong experience designing distributed, transactional systems in fintech or regulated domains.\r\nDeep understanding of data consistency, idempotency, fault tolerance, and scalability.\r\nHands-on experience building stateful AI agents with well-defined short- and long-term memory.\r\nSolid understanding of security, observability, and production incident handling.\r\nAbility to communicate architectural decisions and trade-offs clearly.\r\nNice to Have\r\nExperience with event driven architectures (Kafka, async messaging).\r\nFamiliarity with AI cost control, evaluation, and governance practices.\r\nPrior experience in trading systems, real-time financial platforms, or regulated production environments.\r\nTech Stack\r\nLanguages & Frameworks: Java, Spring Boot, Python\r\nData & Systems: SQL, Distributed Systems, Transactional Services\r\nMessaging: Kafka, Async Messaging\r\nCloud & Platform: Cloud Infrastructure, Kubernetes, Docker\r\nAI & Agents: Agentic AI (LangGraph), RAG, Vector Stores\r\nSecurity & Ops: Security Tooling, Observability & Monitoring Platforms\r\nEnvestnet\r\nBe a member of an innovative and industry leading financial technology and solutions company\r\nCompetitive Compensation/Total Reward Packages that include:\r\nHealth Benefits (Health/Dental/Vision)\r\nPaid Time Off (PTO) & Volunteer Time Off (VTO)\r\n401K – Company Match\r\nAnnual Bonus Incentives\r\nParental Stipend\r\nTuition Reimbursement\r\nStudent Debt Program\r\nCharitable Match\r\nWellness Program\r\nEnvestnet is an Equal Opportunity Employer.\r\nJ-18808-Ljbffr","datePosted":"2026-08-07T00:57:50.484Z","dateModified":"2026-08-07T00:57:50.484Z","hiringOrganization":{"@type":"Organization","name":"Envestnet","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wayne","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8d13ff372afdf9d40fc0dac5"},"url":"https://jobsearcher.com/jobs/8d13ff372afdf9d40fc0dac5"}}