Chennai, India

Product Operations Manager – Lending Products About the Role: We are looking for a hands-on and proactive Product Operations Manager – Lending Productsto take ownership of the day-to-day functioning, operational stability, and continuousimprovement of our lending technology Products, including the Loan Origination System (LOS)and Loan Management System (LMS). Both products are developed and maintained by external technology partners. The ProductOperations Manager will act as the key interface between business teams, technology vendors,and internal stakeholders, ensuring that the Products remain stable, issues are resolved withinagreed SLAs, business requirements are addressed e􀆯ectively, and operational processes runsmoothly. This is a highly hands-on role involving production support, incident and issue management,vendor coordination, UAT, release management, stakeholder management, Productmonitoring, and continuous process improvement. Key Responsibilities BAU & Product Operations  Own the day-to-day BAU operations of the LOS, LMS, and related lending technologyProducts. Act as the primary point of contact for business users for product-related issues,queries, and operational requirements. Ensure critical business processes are supported e􀆯ectively across Sales, Credit,Operations, Collections, and other relevant functions.Incident & Issue Management Manage production incidents and application issues from identification throughresolution and closure. Coordinate with external technology vendors for troubleshooting, root-cause analysis,fixes, and permanent resolution. Track incidents, identify recurring problems, and drive preventive measures to reducerepeat issues. Vendor & SLA Management  Manage day-to-day relationships with external technology partners supporting theLOS/LMS Products. Track vendor performance against agreed SLAs, turnaround times, quality, and supportcommitments. Follow up on open issues, enhancements, defects, and production fixes to ensuretimely closure.Change, Release & Enhancement Management Coordinate product changes, enhancements, fixes, and releases with businessstakeholders and technology vendors. Assess the operational impact of proposed changes and ensure appropriate approvalsare obtained. Coordinate UAT activities, including preparation of test scenarios, execution offunctional and regression testing, defect tracking, and validation of fixes. Maintain release calendars, release notes, change records, and implementationdocumentation. Business & Stakeholder Management  Translate business problems into clear requirements and actionable solutions fortechnology vendors. Manage stakeholder expectations and provide regular updates on incidents,enhancements, releases, and operational issues. Identify opportunities to simplify processes, improve turnaround times, and enhanceuser experience. Testing & Technical Support  Perform basic investigation of application and integration issues before escalating totechnology vendors. Use logs, API responses, database information, and other available technicalinformation to support issue diagnosis. Basic SQL knowledge will be useful for data validation and troubleshooting. Operational Governance & Continuous Improvement  Establish and maintain operational processes, SOPs, support procedures, escalationmatrices, and Product documentation. Prepare regular MIS and management reports covering incidents, SLA performance,Product issues, releases, and outstanding actions. Identify recurring operational challenges and drive initiatives to improve Productstability and efficiency. What We're Looking For:  2–5 years of experience in BAU Management, Application Support, Product Support,Business Analysis, Technology Operations, or a similar role. Experience managing business-critical applications in fintech, NBFC, banking,financial services, or digital lending. Good understanding of digital lending processes and Products such as LOS, LMS, loanservicing, credit, underwriting, disbursement, repayment, and collections systems. Strong experience in production support, incident management, vendor management,and SLA tracking. Experience coordinating with external technology/application vendors. Strong stakeholder management and communication skills, with the ability to work withboth business and technical teams. Strong problem-solving and analytical skills with a hands-on approach to issueresolution. Ability to manage multiple incidents, priorities, and stakeholders in a fast-pacedenvironment. Technical Skills  Good understanding of REST APIs, system integrations, and application workflows. Hands-on experience with Postman for API execution, testing, and validation. Experience with functional, regression, integration, and UAT testing. Basic understanding of application troubleshooting and issue diagnosis. Working knowledge of JIRA, Excel, and other incident/project tracking tools. Basic SQL knowledge for data validation and troubleshooting is an advantage. Exposure to Figma or similar tools is useful but not mandatory. Preferred Qualifications  Bachelor's degree in Engineering, Computer Science, Information Technology, Finance,or a related discipline. Prior experience in NBFCs, banks, fintech companies, digital lending, or lendingtechnology Products. Experience managing LOS/LMS vendors and third-party technology Products. Experience in SLA management, incident management, release management, andoperational governance. Strong understanding of lending operations and the technology supporting the end-toendlending lifecycle.

AI Engineering Lead - (Client Site) About Client Client is an AI-first technology partner built exclusively for financial institutions. We design, build, and deploy AI systems across lending, credit, trading, insurance, reconciliation, and wealth management. We don't ship pilots - we ship production systems that meet the compliance bar regulated institutions demand. Transform Businesses with Technology and AI. About the Role You'll lead client AI pod embedded inside a financial institution's engineering organization - a team of forward-deployed AI Engineers building agentic systems for the client's software development lifecycle, plus AI applications for their business use cases. You are the pod's architect and its most senior engineer. You decide how solutions get built, you build the hard parts yourself, and you're accountable for everything the pod ships. This is a hands-on role. Roughly 60–70% of your time is engineering - architecture, the critical path, the parts nobody else on the pod can do yet. The remaining 30–40% is planning, prioritisation, review, and client coordination. If you're looking for a role where you stop writing code, this isn't it. You'll work closely with Client’s Engineering and Product leaders on project planning and sprint definition, with a dotted line to the client's technical leadership. What You'll Own Architecture & Technical Direction ● Own the solution architecture for everything the pod builds - agentic SDLC systems and AI applications alike● Choose the stack: agent frameworks vs. established SDKs (Claude Code, Agent SDKs), orchestration patterns, retrieval strategy, model selection, eval approach - and defend those calls to Vecton and to the client● Design the context layer: how agents get codebase insight, integration docs, client standards, and prior decisions at the right moment● Set the engineering standards the pod works to - repo structure, eval harnesses, prompt/tool versioning, deployment patternsHands-On Build ● Personally build the critical path: the hardest agent, the orchestration spine, the piece with the most technical risk● Prototype fast when a direction is unproven - de-risk before the pod commits sprint capacity to it● Stay deep enough in the code that your reviews are real reviews Team & Delivery ● Review the pod's work - architecture, code, prompts, agent behaviour, evals● Guide FDEs technically: unblock them, correct direction early, raise their ceiling● Be accountable for what the pod delivers - quality, timelines, and whether it actually gets used● Run sprint planning and prioritisation Leadership Alignment ● Work with client engineering leaders to identify and qualify use cases● Translate client problems into scoped, sequenced technical work● Present architecture and solution design to client architects, security, and technical leadership What We're Looking For ● 6–10 years of software engineering experience, including senior/lead ownership of production systems end to end● Deep fundamentals - system design, API design, testing, CI/CD, debugging production issues at scale. You need these to build agents that operate on real codebases● Strong hands-on AI engineering: LLMs, prompt engineering, RAG, agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen), vector databases and embedding pipelines● Track record of shipping AI systems to production - not experiments● Python depth and real working knowledge of at least one full stack (MERN/MEAN or Java/Spring Boot)● Experience leading a small engineering team● A clear, defensible point of view on where AI genuinely accelerates the SDLC and where it doesn't - you'll be asked to justify it by client architects who are sceptical by default.

Sr. Java Developer – AI Projects (Client Site) About Client Our Client is an AI-first technology partner dedicated exclusively to financial institutions. Unlike conventional IT consultancies, we go deep into finance - designing, building, and deploying AI-enabled solutions that span lending, trading, insurance, credit management, reconciliation, and wealth management. What sets us apart is our ability to combine deep domain specialization with execution speed. We don't deliver pilots - we deliver production-ready systems that accelerate digital transformation while meeting the strictest compliance and regulatory standards. We are guided by a clear set of values: speed with precision, domain depth in financial institutions, trust and compliance, partnerships over vendors, an AI-first mindset, and continuous improvement. Our motto: Transform Businesses with Technology and AI. About the Role As a Sr. Java Developer – AI Projects (Client Site), you will be client senior engineering presence embedded within the client's environment - owning the build, deployment, and production health of AI-enabled systems inside a regulated financial institution.Our central team designs and architects AI solutions for complex financial use cases. Your job is to turn those designs into hardened, production-grade Java services that run reliably inside the client's stack - integrated with their core systems, deployed through their release pipelines, monitored through their observability tooling, and compliant with their security controls. This is a forward-deployed, high-ownership role. You will not just write code - you will own builds, deployments, configuration, monitoring, and the automation of manual operational work. You will report to client central engineering team, with a dotted-line accountability to the client's technical leadership.What You'll Do ● Build and ship production-grade Java / Spring Boot services that expose, orchestrate, and integrate AI capabilities - LLM calls, multi-agent workflows● Own the full delivery lifecycle: development, code review, build, release, deployment, configuration management, and post-deployment support● Set up and maintain CI/CD pipelines, branching strategy, artifact management, and environment/config/secrets handling in line with the client's release governance.● Instrument and monitor services in production - logging, metrics, tracing, alerting - and drive RCA and permanent fixes for production issues.● Identify manual, repetitive operational work in the client's engineering and business processes and automate it.● Build integrations between AI systems and existing client applications, databases, message queues, and APIs - including core banking / LOS / LMS / CRM systems where applicable.● Provide technical inputs to solution design and effort estimation for new scope within the account.● Run technical walkthroughs and PoC demos that build client confidence.● Actively use AI-assisted development tools (Cursor, Copilot or equivalent) to accelerate delivery and improve code quality. What We're Looking For ● 3–5 years of hands-on software development experience, with Java as the primary language.● Strong command of Java 11/17+, Spring Boot, Spring Data, dependency injection, and multithreading/concurrency fundamentals.● Proven experience designing and building RESTful APIs and microservices; comfort with JSON, API contracts, versioning, and error handling.● Solid SQL and RDBMS experience (Oracle / PostgreSQL / MySQL); familiarity with message queues (Kafka, RabbitMQ, or equivalent).● Build and dependency tooling: Maven or Gradle; unit and integration testing (JUnit, Mockito).● Experience with containerization and orchestration (Docker, Kubernetes) and/or traditional app server deployments (Tomcat, WebLogic).● Working knowledge of large language models, prompt engineering, RAG, and agentic AI concepts.● Experience integrating LLM APIs into backend services - ideally via Java-native frameworks (Spring AI, LangChain4j) or by consuming Python-based AI services.● Genuine curiosity about the rapidly evolving AI tooling landscape and the initiative to keep pace with it.

AI Engineer - Agentic Software Development (Client Site) About Client Our Client is an AI-first technology partner built exclusively for financial institutions. We design, build, and deploy AI systems across lending, credit, trading, insurance, reconciliation, and wealth management. We don't ship pilots - we ship production systems that meet the compliance bar regulated institutions demand. Transform Businesses with Technology and AI. About the Role Software development itself is being rebuilt around AI. You'll build the agents that do it - embedded inside a financial institution's own engineering organization. As a forward-deployed AI Engineer, you sit with the client's tech team and build agents that their engineers use every day to run their software development lifecycle: requirement review, architecture, planning, coding, review, deployment, debugging. Your users are professional engineers working on real systems, which sets a high bar - an agent that produces plausible-but-wrong output gets abandoned in a week. This demands strong software engineering fundamentals. You can't build an agent that reviews architecture or writes production code unless you deeply understand how architecture and production code actually work. Equally, you need a real point of view on where AI genuinely helps in the SDLC - and where it doesn't. You'll report into Client's central engineering team, with dotted-line accountability to the client's technical leadership. What You'll Build Agents across the client's SDLC, for example: ● Requirement agents - review BRDs/PRDs for gaps, ambiguity, and completeness of the proposed solution● Architecture agents - high-level solution architecture, security architecture, application-level LLD● Planning agents - decompose a project into precise, executable development tasks● Coding agents - pick up those tasks and write, test, and iterate on the code● Review agents - code and PR review against the client's standards, patterns, and security expectations● Deployment agents - pipeline execution, release checks, environment handling● Diagnosis agents - pull logs, traces, and metrics via the right tooling to isolate and debug failures And the layer that makes them work: ● Context orchestration - designing how each agent gets the right context at the right time: codebase insight (repo indexing, observability/Grafana data), third-party integration docs, the client's internal standards, prior architectural decisions● Harness decisions - evaluating build-your-own vs. established agent SDKs (Claude Code, Agent SDKs, and similar), and owning that call with clear reasoning● Skills, tools, and references - building the tool definitions, skills, and reference material that move agent output from "plausible" to "actually correct" for this client's stack● Evaluation - defining what "good output" means for each agent and measuring itBeyond agentic SDLC You'll also build AI-centered applications for the client's business use cases - LLM-backed workflows, RAG systems, and multi-agent solutions running inside their infrastructure and compliance boundaries. What Being Forward-Deployed Actually Means ● Learn the client's stack, repos, CI/CD, ticketing, coding standards, and release process well enough to encode them into agents● Work directly with their engineers and tech leadership to find where agents will actually save time - and where they won't● Build inside their constraints: on-prem or VPC-hosted models, data residency, code that can't leave their network, audit requirements● Drive adoption - demo, onboard, gather feedback, iterate; usage is the success metric, not delivery● Contribute to solution proposals, effort estimates, and PoC demos alongside client central team● Feed patterns, components, and learnings back into Client knowledge base What We're Looking For ● 3–6 years of strong software development experience - you've designed, shipped, and maintained production systems, not just prototypes● Solid fundamentals in system design, API design, testing, version control workflows, CI/CD, and debugging production issues● Python proficiency for AI/ML workloads, plus working knowledge of at least one full stack (MERN/MEAN or Java/Spring Boot)● Hands-on with LLMs, prompt engineering, RAG, and agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent)● Practical experience with vector databases and embedding-based retrieval (Pinecone, Weaviate, pgvector)● A working thesis on how AI is changing software development - where it genuinely accelerates work, where it fails, and why● Daily user of AI-assisted development tools (Claude Code, Cursor, or equivalent) - you should be able to describe what they do well and where they break down● Ability to hold your own with senior client engineers and architects, and comfort with ambiguity - much of this doesn't have an established playbook yet.

Our Client: Founded with a passion for solving complex business problems, Client brings decades of consulting experience to clients across higher education, healthcare, public sector, and commercial industries. We specialize in Oracle Cloud, AWS, and PeopleSoft—delivering strategic roadmaps, implementations, and ongoing support tailored to each client’s needs. At Client, we believe in building genuine, long-term relationships and working side-by-side with our clients to help them reach their goals. Our team is made up of people who love a challenge, value collaboration, and bring deep industry knowledge to every project. We’re committed to making technology work for our clients, and we do it with integrity, flexibility, and a focus on real results. Job Title: Oracle Cloud HCM Functional – Time & Labor & Absence Management Experience: 5+ years Role Overview: We are seeking an experienced Oracle Fusion HCM Functional Consultant specializing in Time & Labor and Absence Management to lead and deliver end-to-end functional implementations. The ideal candidate is a strong functional expert who can work directly with clients, drive requirements through deployment, and ensure successful go-lives. Key Responsibilities: Lead the functional delivery of Oracle Fusion Time & Labor and Absence Management across all implementation phases — requirements gathering, fit-gap analysis, solution design, configuration, testing, deployment, and post-go-live support. Conduct client workshops, gather and validate business requirements, and translate them into functional solution designs. Configure Time & Labor and Absence modules and prepare functional design documents (FDDs). Coordinate with technical teams on data migration, integrations, and reporting requirements from a functional standpoint. Manage functional UAT, resolve defects, and ensure smooth transition to production and hypercare. Act as a trusted functional advisor, providing best-practice guidance and resolving issues proactively. Well versed with US Legislation. Required Skills & Qualifications: 8–12 years of overall experience, with strong functional expertise in Oracle Fusion Time & Labor and Absence Management. Minimum 2 full-cycle functional implementations. Well versed with US legislation and statutory rules as applicable to Time & Labor and Absence (e.g., FLSA, overtime, FMLA, state and federal leave regulations). Thorough understanding of all implementation phases and functional delivery methodology. Strong client-facing, communication, and stakeholder-management skills. Ability to independently lead functional workstreams. Preferred / Added Advantage: Healthcare industry implementation experience. Working knowledge of Workforce Compensation. Relevant Oracle Cloud certifications.

Job Description: We are looking for an experienced software engineering lead/manager who could join our cloud product engineering team to build the next gen applications for our global customers. If you are a technology enthusiast and have passion to develop enterprise cloud products with quality, security, and performance, we are eager to discuss with you the potential role. Responsibilities: · Understand the business requirements and technical constraints and architect/design/develop. · Participate in the complete development life cycle. · Lead and Review the architecture/design/code of self and others. · Develop enterprise application features/services using Azure cloud services, C# .NET Core, ReactJS etc, implementing AI-DevSecOps principles. · Act as a hands-on technical leader of a scrum team. · Own and be accountable for the Quality, Performance, Security and Sustenance of the respective product deliverables. · Strive for self-excellence along with enabling success of the team/stakeholders. · Appraise the performance of self, peers and team members. Requirements: · 6 to 10 years of experience in developing enterprise software products, with cloud native stack · Strong knowledge of C# / .NET Core · Working knowledge of the JS frameworks – React · Good experience in automating development using combination of AI tools - Claude + CoPilot + MCP · Strong experience in Micro-Services and/or Micro-Frontend architecture · Strong experience in container-based development, AKS, Service Fabric etc · Strong experience in messaging queue systems like RabbitMQ, Kafka · Experience in Azure Services like Azure Logic Apps, Azure Functions · Experience in Relational and No-SQL databases like MS SQL Server, PostgreSQL, MongoDB · Preferable experience in integrating LLMs, vector databases, RAG into production apps. · Experience in coaching/guiding/leading a scrum team of junior, senior full stack engineers · Experience in owning/driving end to end development of multiple functional modules/areas (incl testing, performance testing, deployment) · Experience in cross-functional collaboration with product owners, senior management etc. · Strong knowledge of Code Quality, Code Monitoring, Performance Engineering, Test Automation Tools · Knowledge of reporting solutions like PowerBI, Apache SuperSet etc

Job Description: We are looking for an experienced software engineering lead/manager who could join our cloud product engineering team to build the next gen applications for our global customers. If you are a technology enthusiast and have passion to develop enterprise cloud products with quality, security, and performance, we are eager to discuss with you the potential role. Responsibilities: · Understand the business requirements and technical constraints and architect/design/develop. · Participate in the complete development life cycle. · Lead and Review the architecture/design/code of self and others. · Develop enterprise application features/services using Azure cloud services, C# .NET Core, ReactJS etc, implementing AI-DevSecOps principles. · Act as a hands-on technical leader of a scrum team. · Own and be accountable for the Quality, Performance, Security and Sustenance of the respective product deliverables. · Strive for self-excellence along with enabling success of the team/stakeholders. · Appraise the performance of self, peers and team members. Requirements: · 6 to 10 years of experience in developing enterprise software products, with cloud native stack · Strong knowledge of C# / .NET Core · Working knowledge of the JS frameworks – React · Good experience in automating development using combination of AI tools - Claude + CoPilot + MCP · Strong experience in Micro-Services and/or Micro-Frontend architecture · Strong experience in container-based development, AKS, Service Fabric etc · Strong experience in messaging queue systems like RabbitMQ, Kafka · Experience in Azure Services like Azure Logic Apps, Azure Functions · Experience in Relational and No-SQL databases like MS SQL Server, PostgreSQL, MongoDB · Preferable experience in integrating LLMs, vector databases, RAG into production apps. · Experience in coaching/guiding/leading a scrum team of junior, senior full stack engineers · Experience in owning/driving end to end development of multiple functional modules/areas (incl testing, performance testing, deployment) · Experience in cross-functional collaboration with product owners, senior management etc. · Strong knowledge of Code Quality, Code Monitoring, Performance Engineering, Test Automation Tools · Knowledge of reporting solutions like PowerBI, Apache SuperSet etc

ROLE PURPOSE & OVERVIEW As Head of Finance & Accounts, you will own end-to-end financial operations for the Commerce business. You'll lead a team of 6-8 professionals and directly impact the company's financial health, compliance posture, and ability to scale. This is a hands-on, operational role where you'll drive process excellence, build scalable systems, and partner closely with the Group FC on strategic financial initiatives. KEY RESPONSIBILITIES 1. Accounts Receivable & Payable Management · Own AR/AP processes end-to-end: invoice issuance, collections, dispute resolution, and supplier payment optimization · Establish and monitor credit policies, aging reports, and cash collection KPIs · Ensure 100% transaction accuracy and timeliness of customer/supplier reconciliations 2. Banking & Treasury Operations · Manage daily cash management: bank account reconciliation, fund deployment, working capital optimization · Oversee trade finance instruments (LC, Bank Guarantees, etc.) typical to trading operations · Coordinate with banks on credits lines, facility negotiations, and reporting requirements 3. Accounting & Financial Reporting · Supervise month-end close: balance sheet reconciliation, accruals, intercompany adjustments · Prepare accurate, timely financial statements and ensure compliance with accounting standards · Lead audit preparation and manage external auditor coordination 4. Management Information System (MIS) & Reporting · Design and deliver MIS dashboards: daily cash flow, receivables aging, payables forecast, inventory valuation · Provide weekly/monthly insights to management and business leaders on financial health and variances · Drive data quality and reporting consistency across ERP system(s) 5. Team Leadership & Process Scaling · Build and mentor a high-performing finance team; establish clear roles, KPIs, and development paths · Document and automate processes to support revenue growth without proportional headcount increase · Implement internal controls and compliance frameworks (SOX-readiness, separation of duties) 6. Stakeholder Collaboration · Work closely with Operations, Trading, and HR on budget allocation, cost control, and payroll accuracy · Support management with financial planning, variance analysis, and strategic cost initiatives REQUIRED EXPERIENCE & QUALIFICATIONS · 8+ years of hands-on experience in Finance & Accounting, with 3+ years in a trading/commodity business · Demonstrated expertise in AR/AP operations, banking & treasury, and month-end close routines · Proven track record leading finance teams (4+ direct reports) and scaling finance operations · Strong knowledge of Indian tax compliance (GST, TDS) and financial statement preparation (Ind-AS) · Proficiency in Excel, ERP systems (SAP, Tally, Zoho, or cloud-based platforms), and data visualization · Excellent communication skills; ability to partner with business leaders and provide clear financial insights · Chartered accountant NICE-TO-HAVE QUALIFICATIONS · Prior experience in a fast-growing startup or scaling company · Exposure to consolidated financial reporting or multi-entity accounting · Knowledge of trade finance and working capital optimization KEY COMPETENCIES · Problem-solving & Process Orientation: Ability to analyze complex financial challenges and implement scalable solutions · Attention to Detail: High accuracy threshold; ability to spot discrepancies and drill into root causes · Ownership Mentality: Takes responsibility for financial accuracy, compliance, and team performance · Stakeholder Management: Communicates complex financial concepts to non-finance audiences · Adaptability: Comfortable in a fast-moving, scaling environment; able to prioritize amid competing demands.