2 Banking Apis Jobs

The candidate will work closely with Engineering, Product, AI/ML, SRE, DevOps, and Compliance teams to drive operational excellence and shape the next generation of support standards for AI-driven enterprise systems. Functionally accountable for all post-deployment support and performance assurance of digital expert systems. Operates at L3+ support level, enabling L1/L2 teams through proactive observability, automation, and runbook design. Leads stability engineering squads, AI support specialists, and DevOps collaborators across multiple business units. Acts as the bridge between operations and engineering, ensuring technical fixes feed into product backlog effectively. Supports continuous improvement through incident intelligence, root cause reporting, and architecture hardening. Sets the support governance framework (SLAs/OLAs, monitoring KPIs, downtime classification, recovery playbooks). Build and govern the AI Support Control Center to track usage patterns, failure alerts, and escalation workflows. Define and enforce SLAs/OLAs for LLMs, GenAI endpoints, NLP components, and associated microservices. Establish and maintain observability stacks (Grafana, ELK, Prometheus, Datadog) integrated with model behavior. Lead major incident response and drive cross-functional war rooms for critical recovery. Ensure AI pipeline resilience through fallback logic, circuit breakers, and context caching. Review and fine-tune inference flows, timeout parameters, latency thresholds, and token usage limits. Drive code-level hotfixes or patches in coordination with Dev, QA, and Cloud Ops. Implement automation scripts for diagnosis, log capture, reprocessing, and health validation. Maintain well-structured GitOps pipelines for support-related patches, rollback plans, and enhancement sprints. Coordinate enhancement requests based on operational analytics and feedback loops. Champion enterprise integration and alignment with Core Banking, ERP, H2H, and transaction processing systems. Build and mentor a high-caliber AI Support Squad support engineers, SREs, and automation leads. Define and publish support KPIs, operational dashboards, and quarterly stability scorecards. Present production health reports to business, engineering, and executive leadership. Define runbooks, response playbooks, knowledge base entries, and onboarding plans for newer AI support use cases. Manage relationships with AI platform vendors, cloud ops partners, and application owners. 12+ years of software engineering, platform reliability, or AI systems management experience. Proven track record of leading support and platform operations for AI/ML/GenAI-powered systems. Strong experience with cloud-native platforms (Azure/AWS), Kubernetes, and containerized observability. Deep expertise in Python and/or Java for production debugging and script/tooling development. Proficient in monitoring, logging, tracing, and alerts using enterprise tools (Grafana, ELK, Datadog). Familiarity with token economics, prompt tuning, inference throttling, and GenAI usage policies. Experience working with distributed systems, banking APIs, and integration with Core/ERP systems. Strong understanding of incident management frameworks (ITIL) and ability to drive postmortem discipline. Excellent stakeholder management, cross-functional coordination, and communication skills. Demonstrated ability to mentor senior ICs and influence product and platform priorities.,

Job Title: Technical Team Leader (FinTech) Location: Chennai & Thane Maharashtra Employment Type: Full time Job Summary: We are looking for a highly skilled Technical Team Leader with experience in FinTech to lead our engineering team. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge financial solutions while ensuring high performance, security, and scalability. The role requires a strong technical background, leadership abilities, and a passion for driving innovation in financial technology. Key Responsibilities: Lead a team of developers, engineers, and other technical staff in designing and building FinTech solutions. Oversee software architecture, development, testing, and deployment processes. Collaborate with product managers, business stakeholders, and regulatory teams to align technology with business goals. Ensure compliance with financial regulations, security standards, and industry best practices. Manage project timelines, resource allocation, and risk mitigation strategies. Advocate for Agile methodologies, DevOps practices, and continuous integration/continuous deployment (CI/CD). Mentor, guide, and provide technical direction to team members, fostering a culture of continuous learning and improvement. Stay updated with emerging technologies, trends, and best practices in FinTech and software development. Required Skills & Qualifications: Bachelor's/Masters degree in Computer Science, Information Technology, or a related field. 6+ years of experience in software development, with at least 3 years in a leadership role. Strong knowledge of financial technologies, payment systems, blockchain, banking APIs, and digital wallets. Proficiency in programming languages such as Python, Java, C#, or JavaScript. Experience with cloud platforms (AWS, Azure, GCP) and microservices architecture. Deep understanding of Agile methodologies (Scrum, Kanban), Jira, and Confluence. Strong background in security protocols, encryption, and regulatory compliance (PCI DSS, GDPR, AML/KYC). Ability to troubleshoot complex technical issues and optimize system performance. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications: Experience with AI/ML applications in FinTech and data-driven decision-making. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines. Prior experience working with third-party financial services and APIs (Plaid, Stripe, PayPal, etc.). Familiarity with event-driven architecture and messaging systems (Kafka, RabbitMQ).