Top Tech Jobs & Startup Jobs in Chennai

Lead the architecture and development of scalable, fault-tolerant software systems with organization-wide impact. Provide technical leadership across engineering and business teams, establish software design and development best practices, conduct code and design reviews, mentor engineers, evaluate technologies, drive cross-team initiatives, and support technical hiring. The role requires deep expertise in system design, distributed systems, algorithms, data structures, design patterns, and large-scale software execution.

Manage a 24/7 Security Operations Centre as a Level 3 SOC engineer. Responsibilities include security monitoring, incident response, threat hunting, detection rule tuning, emerging-threat research, SOC tool enhancement, crisis communications, performance measurement, and stakeholder reporting. The role requires expertise in SIEM, vulnerability management, cloud and virtualization platforms, Windows infrastructure, networking, firewalls, IDS/IPS, filtering services, and security compliance standards.

Develop and deploy statistical and machine learning models for fraud detection, credit risk scoring, portfolio management, pricing, and related financial applications. Collaborate with data engineering, DevOps, MLOps, and business stakeholders to capture data, understand domain requirements, build production ML pipelines, and optimize model training throughput and scoring response times. Support model development, testing, monitoring, and deployment at scale.

Support corporate governance and compliance activities, including Board and Committee meetings, notices, agendas, board packs, minutes, statutory registers, and action tracking. Manage Companies Act, SEBI, and FEMA filings through MCA, FIRMS, and FLAIR, while coordinating with ROC, RBI, SEBI, auditors, consultants, and internal stakeholders. Ensure accurate, timely regulatory submissions and effective compliance workflows in a fast-paced fintech environment.

Prepare accurate financial reports, analyze statements, budgets, forecasts, KPIs, and credit data, and identify risks and opportunities. Build financial models, dashboards, reporting systems, and data visualizations while collaborating with cross-functional teams. Support budgeting, forecasting, strategic planning, and improvements to reporting processes. Present complex financial information clearly and maintain accuracy in automated credit reports and credit analysis frameworks.

Develop and deploy machine learning and reinforcement learning models to optimize debt collection campaigns across digital, telecalling, and field channels. Responsibilities include model development, statistical analysis, metric design, regulatory compliance, model explainability, data product delivery, cloud deployment, and stakeholder communication. The role also involves improving existing models, incorporating new data sources, and supporting risk-focused analytics.

Develop and maintain the core ML platform, automate model development and deployment workflows, integrate models into production systems, and implement monitoring, retraining, CI/CD, and advanced deployment strategies. Optimize scalable inference infrastructure using Kubernetes, KEDA, GPUs, and cloud storage. Build reusable MLOps components, manage model and infrastructure configuration, integrate data pipelines, and evaluate tools for the MLOps technology stack.

Develop scalable computer vision and NLP solutions for image classification, OCR, data extraction, text classification, summarization, and LLM fine-tuning. Build reusable APIs and ML pipelines, integrate models into production, and optimize training and scoring performance for large data volumes. Collaborate with DevOps and Data Engineering teams while applying advanced techniques across the full machine learning lifecycle.

Design, implement, and maintain automated test frameworks and scripts for complex applications. Create test plans, testing strategies, and comprehensive functional and non-functional test coverage. Integrate automated testing into CI/CD pipelines, identify and track defects, participate in code reviews, and improve testing methodologies. Collaborate with developers, product managers, and DevOps teams while mentoring junior SDETs and promoting automation best practices.

Leads manual and automated QA activities, including test planning, test case development, API and database testing, test execution, defect tracking, test metrics, and reporting. Coaches junior QA engineers, maintains test script libraries, supports documentation and training, coordinates product testing, and collaborates with development and product teams to validate complex use cases and improve software quality.