Technical Leadership Architecture

- Architect and oversee the end-to-end design of scalable, resilient enterprise systems.

- Establish and enforce engineering standards for system design, data structures, API contracts, and code quality across Java, Python OCI technology stacks.

- Lead architecture review boards, design critiques, and technical risk assessments for major initiatives.

- Drive the adoption of AI/ML capabilities including LLMs, predictive analytics, and intelligent automation into core business workflows.

- Ensure solutions meet non-functional requirements: high availability, performance, observability, and security compliance.

AI Data Engineering

- Define the strategic vision and execution roadmap for AI-based application development across core Business System use cases.

- Champion responsible AI practices, including model governance, explainability, bias mitigation, and auditability in regulated financial environments.

- Stay ahead of the curve on emerging AI frameworks, foundation models, and agentic system design patterns.

Engineering Delivery Programme Management

- Own end-to-end delivery accountability for multiple concurrent technology programmes, ensuring on-time, on-budget, and high-quality outcomes.

- Apply best practices in Agile/SAFe delivery, managing backlogs, sprint cadences, release planning, and stakeholder reporting.

- Identify, track, and mitigate project risks, dependencies, and delivery bottlenecks proactively.

- Manage vendor and partner relationships, including contract oversight and SLA governance.

Team Leadership People Development

- Build, manage, and inspire a multi-disciplinary engineering team across software engineers, architects, data engineers, and QA professionals.

- Define career growth frameworks, conduct performance reviews,



and create individual development plans aligned to team and organisational goals.

- Foster a culture of psychological safety, continuous learning, and engineering excellence.

- Drive talent acquisition and succession planning in partnership with HR and Talent Acquisition.

Stakeholder Executive Engagement

- Serve as the primary technology partner to C-suite and senior business stakeholders (CFO, CPO, COO offices), translating complex technical concepts into business value narratives.

- Prepare and present technology roadmaps, investment cases, programme status updates, and risk registers at Board and Executive Committee level.

- Influence strategic technology decisions and enterprise architecture direction through credible, data-driven recommendations.

- Build strong cross-functional partnerships with Product, Finance, Operations, Risk, and Compliance teams.

Required Qualifications Experience

Experience

- 15-17 years of progressive experience in software engineering and technology leadership roles within enterprise environments.

- Minimum 5 years in a senior leadership role managing multi-functional engineering teams of 15 or more.

Domain Knowledge

- Deep functional understanding of major Finance Revenue, Project Delivery management, ITSM IT operations, HR workforce and Customer experience processes

- Familiarity with regulatory and compliance frameworks relevant to Finance technology (e.g., SOX, IFRS,



GAAP).

Technical Expertise

- Expert-level proficiency in Java (Spring Boot, microservices, JVM performance tuning) and Python (FastAPI, Django, data engineering libraries such as Pandas, PySpark).

- Hands-on experience designing and building AI-based applications, including LLM integration, RAG architectures, ML pipelines, and intelligent automation workflows.

- Strong command of data structures, algorithms, distributed systems, and system design principles including CQRS, Event Sourcing, and Domain-Driven Design.

- Extensive experience with cloud-native architectures on OCI AWS; containerisation (Docker, Kubernetes), CI/CD pipelines, and DevSecOps practices.

- Proficiency in relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra) and data warehouse/lakehouse technologies (Snowflake, Databricks, BigQuery).

- Familiarity with enterprise integration patterns, API management platforms, and event streaming (Kafka, MQ).

Leadership Management

- Strong programme and project management capabilities; PMP, PRINCE2, or Protected certification is an advantage.

- Experience operating in matrix organisations and navigating complex stakeholder landscapes.

- Excellent written and verbal communication skills with demonstrated ability to produce Board-ready materials.

Core Competencies

Technical****Leadership BusinessSystems Thinking ArchitectureStrategic Vision Road mappingAI/ML Application EngineeringExecutive Stakeholder ManagementJava Python Engineering ExcellenceTeam Building Talent DevelopmentData Structures Algorithm DesignCross-functional CollaborationCloud-Native DevSecOps PracticesInfluence Without AuthorityDomain-Driven DesignDelivery Ownership Accountability

📌 Associate Practice Manager - IT Development (Hyderabad)
🏢 Apps Associates
📍 Hyderabad