Professional Software Engineer - AI Driven Engineering; Hybrid - Newark, NJ, NYC or Edgewood, NY

Position Overview

We are seeking a Professional Engineer with advanced engineering and technical leadership responsibilities for architecting, building, and overseeing highly scalable distributed systems and enterprise platforms. This role requires deep expertise in Java-based application development, event‑driven architecture, cloud‑native engineering, and large‑scale data processing systems. The ideal candidate possesses strong hands‑on engineering capabilities across Kafka, AWS, Postgre

SQL, microservices, APIs, and distributed systems design, while also leading and overseeing delivery execution across multiple engineering teams.

• Design, develop, and implement scalable, resilient, and high‑performance enterprise applications and distributed systems using Java and modern cloud‑native technologies.
• Lead the architecture and development of event‑driven systems leveraging Kafka, microservices, asynchronous processing, and distributed messaging patterns.
• Build and support applications and platforms within AWS environments utilizing services such as EKS, ECS, MSK, Aurora Postgre
  
  SQL, S3, Lambda, and related AWS technologies.
• Design and optimize relational data models, SQL queries, and large‑scale transactional processing solutions using Postgre
  
  SQL and related database technologies.
• Develop REST APIs, backend services, integration frameworks, and real‑time data processing solutions supporting enterprise‑scale workloads.
• Lead technical design reviews, engineering standards, architecture governance, and delivery oversight across multiple engineering squads and vendor teams.
• Oversee end‑to‑end delivery execution, ensuring alignment across architecture, development, testing, Dev Ops, operational readiness, and production support activities.
• Create, review, and enforce automated testing strategies including unit, integration, functional, API, and BDD‑based validation approaches.
• Ensure software quality through CI/CD automation, Dev Sec Ops  practices, observability, monitoring, resiliency testing, and operational excellence standards.
• Lead troubleshooting, root cause analysis, performance tuning, and resolution of complex distributed system and production issues.
• Mentor engineers and provide technical leadership across teams while promoting engineering best practices, modernization strategies, and AI‑assisted software delivery capabilities.
• Collaborate with business stakeholders, architects, product owners, infrastructure teams, and engineering leadership to deliver strategic technology initiatives.

AI‑assisted software engineering is a core competency for this role. Candidates must demonstrate hands‑on experience with modern AI tooling such as Git Hub Copilot, Claude Code, OpenAI Codex, or equivalent platforms to accelerate software delivery, testing, and operational efficiency. This includes daily use of AI‑assisted development tools, generation of unit, integration, functional, API specifications, BDD scenarios, and technical documentation; establishing AI‑best practices across teams;

and maintaining strong standards for architecture, quality, maintainability, and security while managing governance and risk considerations.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related discipline.
• Extensive experience designing and developing enterprise‑scale distributed systems and high‑volume transactional platforms.
• Proficiency in Java and Spring Boot, Apache Kafka, event‑driven architectures, AWS cloud platforms, and cloud‑native services.
• Expertise with Postgre
  
  SQL, relational database design, and performance optimization.
• Experience with microservices, APIs, asynchronous processing, and distributed systems patterns.
• Ability to design scalable, resilient, and fault‑tolerant systems supporting high‑throughput workloads.
• Demonstrated ability to lead technical initiatives and oversee delivery execution across multiple engineering teams.
• Strong understanding of software architecture, scalability, resiliency, observability, operational support, and performance engineering.
• Exceptional communication, leadership, analytical thinking, and…