Remote Java Trading Jobs in Charlotte, NC (NOW HIRING)

Description

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Job Location   

The primary work location for this role is the United States with a remote work model.   

About Envestnet  

Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in 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 www.envestnet.com.   

The Team You’ll Join  

Our team builds and operates mission-critical trading and investment technology that helps power adaptive wealth management. We work on high-throughput, real-time systems that support the full lifecycle of transaction processing—from validating and routing requests to ensuring accurate downstream reporting and operational readiness. The work sits at the intersection of distributed systems engineering, financial domain complexity, and platform reliability, with an emphasis on scalability, resilience, and correctness.

What makes this team especially exciting is the combination of deep engineering ownership and a highly collaborative, fast-moving culture. You’ll partner closely with product, platform, and risk/compliance stakeholders, and you’ll help shape how we modernize our services and workflows over time—including thoughtful use of AI and automation to improve developer productivity, operational efficiency, and decision support. Engineers on this team tackle challenging problems end-to-end, contribute to technical direction, and build solutions that are designed to operate safely in a regulated environment.

How You’ll Contribute

Seeking a hands-on Lead Software Engineer to lead, design, build, and evolve Envestnet’s premier wealth management fintech product platform built on Java-based distributed systems, while introducing AI Agent–driven capabilities in a secure, compliant, and production‑ready manner. Successful candidate will be responsible to lead a cross-functional Scrum team, assist in Sprint planning, effort estimates, and scheduling to ensure successful outcomes.

This 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.

You 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.

• Own technical design, delivery and architecture for mission-critical fintech services, ensuring scalability, resilience, transactional correctness, and clear service boundaries/data ownership meeting Product requirements.
• Lead design and implementation of Java / Spring Boot microservices, establishing engineering standards for performance, observability, reliability, and maintainability.
• Drive the safe, compliant adoption of agentic AI/LLM capabilities, including workflow design, evaluation/guardrails, and governance for auditable production use.
• Partner cross-functionally with product, platform, and risk/compliance stakeholders to translate business and regulatory requirements into high-quality technical solutions and delivery plans.
• Provide hands-on leadership across the SDLC: lead architecture/design reviews, refine requirements and acceptance criteria, and guide execution within an Agile/Scrum team.
• Mentor and develop engineers, raising the bar through coaching, code/design reviews, and continuous improvement of modern engineering practices.
• Lead releases and production support, including incident response and operational readiness, while ensuring alignment with security, risk, and internal control expectations.

What You’ll Need to Bring

• Bachelor’s degree in Computer Science or related field required (Master’s preferred).
• 8+ years of backend engineering experience using Java and/or Python, including strong experience with Spring, SQL/NoSQL, and modern distributed systems.
• 2+ years designing and delivering production-grade AI/ML systems, including LLM-based applications and agentic workflows (e.g., stateful agents and memory patterns).
• Strong background in building distributed, transactional systems in fintech or other regulated domains, with deep understanding of data consistency, idempotency, fault tolerance, and scalability.
• Solid understanding of security, observability, and production incident handling.
• Demonstrated ability to lead architectural decisions, define technical standards, and communicate trade-offs to both technical and non-technical stakeholders.
• Experience with event driven architectures (Kafka, async messaging), Cloud infrastructures (AWS, GCP, Azure).
• Familiarity with AI cost control, evaluation, and governance practices.
• Prior experience in trading systems, real‑time financial platforms, or regulated production environments.

Nice-to-Haves  

Tech Stack:

• 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

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!  

Sponsorship  

This position is not open to candidates requiring visa sponsorship  

Our Investment in You 

This role offers a base salary range of $149,000 to $186,000. The range listed represents a good-faith estimate of base salary compensation for this position and does not include incentive compensation, equity or benefits. Individual pay will be determined based on factors including, but not limited to, relevant experience, skills, education, certifications, and geographic location, in accordance with applicable pay transparency laws.  This role is eligible for an additional incentive component as part of the total rewards package.   

We provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being including, medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage and mental health & wellness support. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.  Please visit our benefits page on our career site to learn more.  

Our Commitment to Inclusion & Belonging  

Envestnet is an Equal Opportunity Employer and is committed to creating an inclusive environment for all employees and applicants. We welcome and value individuals of all backgrounds and do not discriminate based on race, color, religion, creed, sex (including pregnancy or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, military or veteran status, citizenship status, or any other status protected by applicable law. We encourage individuals from all backgrounds to apply.  

We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at  careers@envestnet.com. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.       

Recruitment Fraud 

At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud. 

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