Senior Technical Lead - Jersey City, NJ | TCS Job

Must Have Technical/Functional Skills

Job Summary: Leading a team of senior developers in designing, modernizing, and scaling the foundational framework for global suite 

of regulatory applications. This position requires a leader who can balance hands-on technical execution with strategic architectural vision.

Will be responsible for driving transition to cloud-native environments (AWS & GCP), optimizing high-volume and low-latency data pipelines, and integrating AI-driven development practices to lower costs and accelerate delivery. Key Responsibilities Team Leadership: Direct, mentor, and manage a team of senior developers. Establish engineering best practices, conduct rigorous code reviews, and foster a culture of technical excellence.

Architectural Ownership: Design and build the foundational, reusable core framework that powers our global regulatory applications, 

ensuring it meets diverse business and compliance requirements. System Modernization: Lead the architectural design and

 execution of migrating the legacy on-premise big data stack (Hadoop, Hive, Spark, Camel) to a modern, secure, 

and elastic cloud-native architecture on AWS and GCP.

 Pipeline Management: Deliver low-latency, event-driven pipelines for real-time regulatory reporting while optimizing robust distributed 

processing engines for high-volume batch reporting. 

AI Integration: Pioneer the adoption of Agentic AI models within the team's workflow and application architecture to accelerate software 

delivery, automate operational tasks, and lower the total cost of ownership. Stakeholder Collaboration: Partner with Compliance, Legal, 

and Business teams to translate evolving regulatory requirements into robust and compliant technical solutions. B2B Integration:

 Architect and maintain high-performance, secure B2B interfaces for seamless data exchange with external regulators, clearinghouses, 

and institutional clients. 

Conversation with Stylus | Chat | Workspaces Required Skills and Qualifications 

1.Leadership & Domain Expertise Engineering Leadership: Proven track record of leading and mentoring high-performing teams of 

senior software developers in an agile environment. Strategic Communication: Exceptional ability to communicate complex

 technical concepts to senior business stakeholders, compliance officers, and C-suite executives. 

Financial Domain Knowledge: Deep understanding of diverse asset classes, including Derivatives (OTC and listed), Equities, 

Fixed Income, and FX. Regulatory Awareness: Familiarity with global regulatory frameworks (e.g., Dodd-Frank, MiFID II, EMIR, SFTR)

 and the ability to translate compliance rules into technical requirements. 

Analytical Problem-Solving: A methodical approach to diagnosing and resolving complex system bottlenecks, data quality issues,

 and distributed systems failures. 

2.Technical Proficiencies System Design & Architecture: Mastery of microservices, event-driven architecture,

3. Domain-Driven Design (DDD), and high-performance API design. Expert knowledge of distributed systems design, 

including consensus, partitioning/sharding, caching, and data consistency models.

 Hi gh-Performance Backend Engineering: Expert-level proficiency in modern managed languages (e.g., Java, Scala, C#) 

and enterprise application frameworks

Practical understanding of Enterprise Integration Patterns (EIP) for building robust and decoupled B2B pipelines. 

Data Engineering & Cloud Technologies: Cloud Architecture: Advanced knowledge of AWS and/or GCP managed services 

(e.g., EKS, MSK, EMR, S3, RDS, IAM, Lambda). Event Streaming: Hands-on experience with Apache Kafka for real-time,

 low-latency event streaming. AM Conversation with Stylus | Chat | Workspaces Distributed Processing: 

Strong proficiency in Apache Spark for high-volume distributed batch processing. 

Big Data Migration: Working knowledge of legacy big data technologies (Hadoop, Hive) 

to facilitate decommissioning and migration to the cloud. AI in Software Development: O O Practical knowledge of integrating 

Agentic AI models and frameworks (e.g., LangChain, LlamaIndex)

 into the software development lifecycle (SDLC) to automate tasks like testing, code generation, and anomaly detection 

Salary Range: $130,000 to $170,000 per year