Senior Technical Lead

Tata Consultancy Services; Jersey City (NJ); On-site; USD 130,000 - 170,000; Full time

Job summary

Tata Consultancy Services in Jersey City, NJ is seeking a seasoned engineering leader to guide a team of senior developers in designing, modernizing, and scaling the foundational framework for a global regulatory application suite.

The role balances hands-on technical execution with strategic architectural vision, driving cloud-native migration, real-time data pipelines, and adoption of Agentic AI to optimize delivery and compliance outcomes.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience leading senior software teams in an agile environment.
• Strong knowledge of regulatory frameworks and financial domains.
• Experience with cloud platforms AWS/GCP and data technologies.
• Proficient in distributed systems and modern backend languages.

Responsibilities

• Lead and mentor a team of senior developers.
• Own the foundational framework architecture for global regulatory applications.
• Migrate legacy big data stack to cloud-native AWS/GCP.
• Deliver low-latency, event-driven pipelines for real-time regulatory reporting.
• Pioneer Agentic AI integration to accelerate delivery.
• Collaborate with Compliance, Legal, and Business teams to translate requirements into solutions.
• Maintain secure B2B interfaces with regulators and clients.

Skills

Engineering leadership

Strategic communication

Regulatory knowledge

Analytical problem solving

Distributed systems

Cloud architecture

Education

Bachelor's degree in Computer Science

Tools

Apache Kafka

Apache Spark

EKS

MSK

EMR

LangChain

LlamaIndex

Job description

Job Description

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.

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.

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Required Skills and Qualifications

• 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.

Technical Proficiencies

• System Design & Architecture: Mastery of microservices, event-driven architecture, 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.
  • 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: 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

Qualifications:

BACHELOR OF COMPUTER SCIENCE