Senior Technical Lead

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 | Work spaces 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 | Work spaces 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., Lang Chain, Llama Index)

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