JPMorgan Lead Software Engineer - Java Backend Developer 

United States, New Jersey, Jersey City 

693067141

Job Responsibilities:

• Architect and design complex data management platforms, ensuring alignment with business goals and technological advancements.
• Provide guidance in the adoption and integration of AWS technologies to enhance scalability and performance.
• Drive innovation by exploring and implementing out-of-the-box solutions that address complex business challenges.
• Oversee the delivery of large-scale projects, coordinating efforts across multiple teams and stakeholders to ensure timely and successful outcomes.
• Mentor and guide technical teams, fostering a culture of continuous learning and excellence in software engineering practices.
• Collaborate with product, technology, and data partners to develop and execute strategic data engineering initiatives.
• Lead initiatives involving graph databases, such as Neo4j, to enhance data relationships and insights.
• Design and implement entitlement systems, ensuring robust security and access control measures.
• Drive database design and performance tuning efforts to optimize data storage, retrieval, and processing efficiency.
• Liaise with the CTC teams to ensure all required control procedures are being followed.

Required Qualifications, Capabilities, and Skills:

• Expertise in Java programming
• Formal training or certification on
  software engineering*
  concepts and 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Proven track record in technical leadership, including resource management and project delivery.
• Experience in solution architecture, with the ability to design and implement innovative technology solutions.
• Excellent communication skills, capable of engaging with stakeholders at all organizational levels.
• Expertise in AWS technologies and cloud infrastructure, with experience in Kubernetes and other cloud platforms.
• Strong data architecture skills, with experience in building enterprise-scale data solutions.
• Proficiency in traditional databases (Postgres, Oracle, SQL Server) and strong SQL skills.

Preferred Qualifications, Capabilities, and Skills:

• Understanding of financial markets and experience with financial data.
• Experience with graph databases such as Neo4j.
• Familiarity with AWS managed services like EKS and MSK.
• Experience in building monitoring tools using Datadog, Prometheus, and Grafana.
• Experience in developing entitlement systems and ensuring robust security measures.