Financial Databases Jobs in Bengaluru

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Architect Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. With FamApp, users can make seamless online and offline payments via UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early with confidence and awareness. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels such as Kunal Shah and Amrish Rao. About This Role We re seeking a **high-impact Architect** to join Fam s engineering leadership team. In this role, you will **own and evolve the backend architecture** powering our core product experiences. You ll collaborate closely with founders, product managers, and engineering leaders to build backend systems that enable rapid innovation while ensuring **scalability, reliability, and security**. This is more than just designing services you ll **shape how Fam builds products** by establishing frameworks, patterns, and architectural decisions that empower engineers to move fast without sacrificing robustness. If you have **10+ years of experience** building and scaling backend systems for fast-growing products, and the ability to be a force multiplier across multiple teams, we want to hear from you. What You ll Do Define and continuously evolve Fam s backend architecture, including APIs, services, data models, and integrations. Partner with Product and Engineering leads to translate business goals into scalable, reliable backend solutions. Lead architecture for critical product areas like payments, onboarding, user engagement, growth, and monetization. Create frameworks and reusable patterns that accelerate developer velocity, experimentation, and feature rollouts. Make informed trade-offs balancing speed, cost, security, and user experience in system design decisions. Mentor senior engineers and foster strong architectural thinking across teams. Collaborate with infrastructure, data, and security teams to ensure compliance, observability, and cost efficiency. Stay updated on emerging backend technologies, patterns, and best practices. Drive key architecture decisions on build vs. integrate, synchronous vs. asynchronous, schema vs. event-driven models. Must-Haves 10+ years engineering experience, with 3+ years in Staff/Principal Engineer or Architect roles. Proven track record designing and scaling backend systems for high-growth, user-facing products. Deep expertise in API design, distributed systems, and service-oriented architectures. Strong command of backend stacks (Node.js, Java, Go, Python), databases (PostgreSQL, Redis), and messaging/event systems. Experience leading large technical decisions across product teams. **Systems thinker** with a product-first mindset balancing speed, robustness, and user experience. Excellent collaboration and communication skills to align product and engineering stakeholders. Experience in fintech or regulated environments is a plus. Nice to Have Experience working in early-stage or hyper-growth product companies. Familiarity with experimentation frameworks, feature flagging, and rapid iteration at scale. Knowledge of domain-driven design (DDD), event-driven and asynchronous architectures. Experience with real-time systems, payments infrastructure, or growth-focused platforms. Contributions to open source, public talks, or thought leadership in architecture. Lead strategic backend architecture powering fintech innovation for 250M+ Gen Z users. Influence technical direction and engineering culture across the organization. Work with a modern stack on meaningful scale challenges with freedom to innovate. Join a mission-driven company shaping India s first payments product specifically for teens and young adults. Collaborate directly with founders and senior leadership, including Sambhav (Co-founder) and Chirag (Head of Engineering). Backed by world-class investors and surrounded by top-tier talent. Perks That Go Beyond the Paycheck Relocation assistance for a smooth transition. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan support programs. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance including mental health support. Tax benefits with food coupons, phone allowances, and leasing options. Retirement benefits: PF contribution, leave encashment, and gratuity. About FamApp FamApp is revolutionizing payments and financial inclusion for the next generation, providing UPI and card payments for users 11 years and older. Our flagship FamX Spending Account integrates UPI and card payments seamlessly, enabling users to manage, save, and learn about money with ease. With over **10 million users**, FamApp is changing how young Indians transact no more carrying cash, plus fully customizable FamX cards with personalized doodles for added fun. Join Our Dynamic Team At Fam, we prioritize people with generous leave policies, flexible work schedules, comprehensive health benefits, and free mental health sessions. You ll work alongside some of the most passionate, talented, and fun professionals in the startup ecosystem.

Collections Executive Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We re not just a fintech; we re architects of a financial revolution that transcends borders. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in new countries using their home country credit scores. Our seamless financial products including checking accounts, credit cards, loans, remittances, and insurance help users achieve financial freedom and pursue their ambitions without geographical limits. As we expand into new geographies, product lines, and customer segments, we re looking for a Collections Executive to join our growing team. Role Overview As a Collections Executive at Zolve, you will play a vital role in recovering overdue payments for US-based credit card accounts. You ll engage directly with customers, apply strong negotiation skills, and ensure compliance with US regulations to resolve delinquent accounts efficiently and empathetically. Key Responsibilities Collections Management Manage a portfolio of delinquent US credit card accounts. Contact customers via phone, email, and other channels to recover overdue payments. Negotiate payment plans or settlements within company guidelines. Account & Data Management Maintain accurate and up-to-date records of collection activities and outcomes. Identify accounts requiring escalation or legal intervention and coordinate with relevant teams. Regulatory Compliance Conduct collection activities in strict accordance with US regulations, including the Fair Debt Collection Practices Act (FDCPA). Handle sensitive customer data responsibly and maintain data protection standards. Customer Service Respond professionally to customer queries and concerns related to their credit card accounts. Educate customers on repayment options and potential consequences of non-payment. Performance & Reporting Meet or exceed monthly collection targets and KPIs. Prepare and submit reports on collection progress, payment trends, and account status. Qualifications Education Bachelor s degree in Finance, Business, or a related field. Experience 3 to 6 years of experience in collections, preferably within consumer credit products such as credit cards, personal loans, education loans, auto loans, or home loans. Proven track record of developing and implementing effective debt recovery strategies to minimize losses. Technical Skills Strong knowledge of various collection techniques and debt recovery best practices. Familiarity with MS Office, data interpretation, and collection databases. Experience with alternate collection channels and tools. Soft Skills Excellent communication and interpersonal skills. Empathy and the ability to engage customers respectfully and professionally. Strong problem-solving and critical-thinking abilities. Be part of a mission-driven company redefining global finance. Work in a fast-growing startup environment with exciting challenges. Collaborate with passionate and diverse teams. Opportunity to make a real impact in a pioneering fintech company. Qualification : Bachelors degree in Finance, Business, or a related field

Lead Platform Engineer Observability Solutions Location: Bengaluru Experience: 6 10 Years Function: Observability Engineering | Platform Architecture | SRE Enablement Join VuNet Redefining Digital Observability at Scale VuNet is transforming the future of digital experiences through Business Journey Observability, combining Big Data and AI/ML to empower real-time visibility across payments, banking, and financial services. Monitoring 28+ billion transactions/month, our platform is trusted by top financial institutions and powers over 300 million users. Backed by Series B funding and recognized by Gartner, NASSCOM, and Forbes, we are leading the charge in building a new category of observability, proudly Made in India for global impact. Your Role: Lead Platform Engineer As the Lead Platform Engineer, you will architect and drive the development of packaged observability solutions across 100+ infrastructure and application technologies. You will define **golden signals**, build **data collection strategies**, and lead the standardization of alerts, dashboards, and RCA workflows for platforms like **Kubernetes, Oracle DB, and Tomcat**. This is a cross-functional leadership role that sits at the intersection of product, platform, DevOps, and SRE. You will **lead a team** and influence how observability is delivered, scaled, and adopted across complex environments. Key Responsibilities Observability Solution Development Design and lead the delivery of observability packages for databases, middleware, cloud-native, and legacy platforms. Define and implement data collection pipelines, including agents, APIs, logs, metrics, traces, and service discovery. Establish **golden signals, SLIs/SLOs**, and health KPIs for performance, availability, and anomaly detection. Dashboards, Alerts & RCA Develop standardized, reusable dashboards, alerts, reports, and troubleshooting playbooks. Automate **RCA workflows** to improve MTTR and reduce alert fatigue. Platform Enablement & Integration Work with engineering to enhance agent capabilities and support new data sources/formats. Guide implementation of platform features for better observability at scale. Team Leadership & Governance Lead and mentor a team of observability engineers and specialists. Define design patterns, reusable modules, and version-controlled libraries. Stakeholder Collaboration Partner with product managers, DevOps, SREs, and customer teams to gather requirements, align priorities, and validate use cases. Ensure deliverables are scalable, well-documented, and production-ready. What You Bring Must-Have Skills 6 10 years of experience in observability, platform engineering, or SRE roles. Hands-on with tools like Prometheus, Grafana, OpenTelemetry, ELK/EFK, Datadog, Splunk. Strong understanding of logs, metrics, traces, profiling, and collection strategies. Experience developing solutions for platforms like Kubernetes, Oracle, PostgreSQL, Tomcat, etc. Proficient in Python, Shell scripting, APIs, and automation tools (**Terraform**, etc.). Familiar with alert fatigue mitigation, anomaly detection, and RCA frameworks. Excellent communication, technical leadership, and documentation skills. Nice to Have Experience managing an observability marketplace or solution catalog. Contributions to open-source observability projects. Certifications in Kubernetes, Observability platforms, or cloud providers (AWS/GCP/Azure). Background in ITSM tools, CMDBs, or incident workflow automation. At VuNet, you ll help build a category-defining observability platform that s already transforming critical infrastructure for leading financial institutions. You ll work with passionate engineers, push technical boundaries, and grow in a high-trust, high-impact environment. What You ll Experience: Ownership of key observability initiatives impacting 300M+ users. Collaboration with SRE, DevOps, and product teams across real-time financial systems. Opportunity to experiment with and shape Gen AI, ML, and emerging telemetry trends. Perks & Benefits Health insurance for you, your parents, and dependents. 1:1 mental wellness support. Training programs, certifications, and career growth opportunities. Transparent, inclusive, and high-trust work culture. Access to cutting-edge technology and Gen AI-powered workspaces.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Senior Manager Full Stack Engineering Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we blend the agility of a startup with the scale of a Fortune 100 company. Our technology teams drive transformation across banking by building next-generation financial products that are secure, user-centric, and powered by cutting-edge engineering practices. We are makers, breakers, doers, and thinkers working together to reinvent consumer finance through technology, modern design, and data science. As a company that builds its own software and platforms, we re constantly innovating to help over 65 million customers bank better. About the Role As a Senior Manager Full Stack Engineering, you ll lead multiple teams building highly available, scalable, and secure platforms and applications. You ll be at the forefront of technical design, architecture, and implementation, helping your teams deliver impactful solutions across web, mobile, backend services, and cloud infrastructure. This is a hands-on leadership role ideal for an experienced engineering leader who still loves to write code, mentor engineers, and contribute directly to architecture and product evolution. What You ll Do Lead full-stack engineering teams delivering cross-functional, multi-platform applications using modern cloud and open-source technologies. Own end-to-end technical design, architecture decisions, and delivery strategy for critical systems. Partner with architects, product managers, and cross-functional leaders to understand requirements, prioritize needs, and develop scalable solutions. Guide and mentor engineers, driving technical excellence, performance, and career growth across teams. Drive Agile delivery, ensuring projects meet timelines and quality standards while promoting DevOps best practices. Champion and enforce best practices in secure coding, architecture, compliance, and accessibility. Collaborate with internal and external stakeholders to align technology vision with business goals. Manage full software development lifecycle: planning, estimation, implementation, deployment, and support. Foster a culture of engineering excellence, continuous learning, and experimentation. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or a related field 8+ years of experience in software development, with a focus on full-stack systems 5+ years of experience managing software development teams through full release cycles Proven track record of leading Agile teams and delivering high-impact technology projects 5+ years of people management experience, including mentoring and team scaling Preferred Qualifications Master s Degree in Computer Science, Engineering, or Business 10+ years of software engineering experience in large-scale, distributed systems 6+ years of experience applying Agile methodologies (Scrum, Kanban, SAFe) Hands-on experience with some or all of the following: Languages: Java, Python, Go, JavaScript, Node.js Frontend: React, AngularJS, HTML5, CSS Cloud: AWS, Azure, GCP (AWS preferred) DevOps: CI/CD, Docker, Kubernetes, Terraform Databases: NoSQL (MongoDB, Cassandra), SQL, Redshift, Snowflake Strong understanding of accessibility standards and building inclusive digital products Experience with Big Data, event-driven architectures, and RESTful APIs Passion for mentoring, technical excellence, and building diverse, high-performing teams Join a team that's redefining how software powers banking Build next-gen cloud-native applications from scratch Work on meaningful problems with direct customer impact Thrive in a collaborative, transparent, and inclusive culture Access top-tier learning opportunities, technical conferences, and internal mentorship Qualification : Masters Degree in Computer Science, Engineering, or Business

Job Title: Business Analyst Granite Location: Bengaluru Company: Altisource About Altisource At Altisource, we thrive in a fast-paced, collaborative environment where innovation meets impact. If you're a self-motivated, quick learner who enjoys working both independently and in teams and you're passionate about data, automation, and creating business value we d love to meet you! We re currently seeking a Business Analyst to join our Granite team, focusing on data analysis, configuration, and financial operations. This is an exciting opportunity to contribute to a growing, stable organization and build a meaningful career. Key Responsibilities Data Analysis & Reporting Execute complex data queries and generate reports using SQL. Analyze operational and financial data to support business strategy. Create insights using Excel, Power Query, and other reporting tools. Billing & Financial Operations Manage invoicing, billing, and reconciliation in coordination with the Accounting team. Maintain accurate financial records and ensure compliance with internal processes. Apply basic accounting principles in financial workflows. Documentation & Process Management Create and maintain business documentation, process manuals, and reports. Edit and format PDFs to align with company standards. Organize operational data and financial records for easy access. Client Engagement & Onboarding Work directly with clients to gather business requirements. Support onboarding and ensure a smooth integration process. Translate client needs into functional product workflows and features. Automation & Efficiency Develop automation tools using VBA, Power Query, and other platforms. Continuously seek ways to streamline processes and improve productivity. Cross-Functional Collaboration Partner with technology and business teams to deliver solutions. Communicate effectively with stakeholders, including senior leadership. Design process flows (Visio) and prepare executive presentations (PowerPoint). Qualifications Bachelor s degree in Business Administration, Engineering, Computer Science, Finance, Accounting, or a related field. 3+ years of experience in business analysis, product management, or operations. Hands-on experience managing IT projects and system integrations. Proficient in SQL, Excel, Word, Visio, and PowerPoint. Knowledge of financial systems, databases, and BI tools. Preferred Skills Strategic thinker with strong problem-solving skills. Excellent communication and stakeholder management abilities. Strong documentation and organizational skills. Experience with SaaS platforms and financial data handling is a plus. Join us and be part of a team that values innovation, integrity, and impact. Qualification : Bachelors degree in Business Administration, Engineering, Computer Science, Finance, Accounting, or a related field

Job Title: Software Engineer Location: Bengaluru Experience Required: 5+ Years Industry: Financial Services / Banking (Preferred) Role Overview: We are seeking a skilled and experienced Software Engineer to join our dynamic development team in Bengaluru. The ideal candidate will bring a strong background in backend development, with an openness to full stack capabilities. You will work closely with cross-functional teams to build scalable, secure, and high-performance financial applications using modern technologies and cloud infrastructure, primarily Azure. Core Responsibilities: Design, develop, and maintain robust backend solutions for financial applications. Collaborate with cross-functional teams to gather requirements, develop solutions, and deliver projects on time. Integrate backend services with intuitive front-end user interfaces for seamless performance. Deploy and manage applications on Azure Cloud, using cloud-native architecture and tools. Apply DevOps practices, including CI/CD, containerization (Docker/Kubernetes), and automation. Ensure code quality through unit testing, peer reviews, and adherence to coding standards. Stay updated on the latest industry trends, tools, and best practices in software engineering. Document solutions and support team learning through mentoring junior developers. Required Qualifications & Experience: Bachelor s degree in Computer Science, Engineering, or a related field. Minimum 5 years of hands-on experience in backend development. Proficient in Java or Python (knowledge of .NET is a plus). Experience with SQL and NoSQL databases and ORM technologies. Proficient in JavaScript and modern front-end frameworks (if full stack). Working knowledge of DevOps pipelines, containerization, and orchestration tools. Proven experience in cloud-native development, ideally with Microsoft Azure. Comfortable using version control systems like Git. Exposure to automation testing frameworks and agile development environments. Strong communication, analytical thinking, and collaboration skills. Preferred Knowledge / Nice to Have: Experience in the financial services or banking domain. Familiarity with platforms like nCino or Mambu. Understanding of financial regulations, standards, and compliance practices. What We Offer: Great Place to Work Certified 6 years in a row Competitive salary and benefits package Access to cutting-edge technology and tools Strong culture of learning, collaboration, and growth Opportunities for professional development and upskilling Work in a supportive and innovative team environment Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Position: Equity Research (Content/Editorial) - Manager Location: Bengaluru About Groww At Groww, we re a passionate team committed to making financial services accessible to every Indian. Our mission is to empower millions of customers by providing a multi-product platform that enables them to take charge of their financial journey. Customer obsession is at our core every product, design, and algorithm is built with the customer s needs and convenience in mind. At Groww, we believe in a culture of ownership, integrity, and the constant drive to challenge the status quo. Our Vision We believe every individual deserves the knowledge, tools, and confidence to make informed financial decisions. Groww s long-term vision is to be the most trusted financial partner for millions of Indians, offering a diverse range of financial services through a cutting-edge platform. Our Core Values Radical Customer Centricity Our customers are at the heart of everything we do. Ownership-Driven Culture We take responsibility and accountability in all we do. Simplicity We simplify complex financial concepts for better accessibility. Long-Term Thinking We focus on sustainable growth and future impact. Transparency We maintain openness in every decision, interaction, and process. Role Overview We re looking for an Equity Research Lead who can build and lead a team responsible for conducting in-depth analysis on macroeconomic developments, industries, companies, and policies. This role is key in providing high-quality, insightful content that will help over 1.5 crore Groww investors make informed investment decisions. As the manager of this team, you will also drive strategy, foster a culture of excellence, and ensure that your research is communicated effectively across multiple platforms, from reports to social media content. Key Responsibilities: Equity Research: Lead comprehensive research on companies, sectors, and industries, including financial statement analysis, valuation models, and competitive benchmarking. Market & Economic Analysis: Monitor macroeconomic trends, policy changes, and market movements to understand their impact on the equity markets. Content Creation: Produce high-quality research content across various formats, including reports, blogs, videos, and social media posts to effectively communicate findings. Team Leadership: Lead and mentor a team of equity research analysts, fostering a culture of continuous learning and high performance. Client Engagement: Work closely with engagement teams to ensure that your research is effectively communicated and aligns with client needs. Strategic Input: Contribute to the broader research strategy and help shape the direction of Groww s research approach. Compliance: Ensure that all research activities meet regulatory requirements and internal compliance standards. Qualifications: Experience: 3+ years of proven experience in equity research, with a strong track record of delivering high-quality insights. Education: Bachelor's degree in Finance, Economics, or a related field. A Master s degree and/or CFA charterholder is highly preferred. Skills: Strong analytical skills, including proficiency in financial modeling and data analysis tools. Excellent written and verbal communication skills; ability to present complex ideas clearly and engagingly. Leadership experience in managing and motivating teams. Deep understanding of the Indian financial markets and regulatory landscape. Awareness of industry best practices and emerging trends in equity research. Join India s fastest-growing financial services company and be part of a team that's reshaping the financial landscape. Work in a culture of transparency, collaboration, and continuous growth. Lead a passionate team and help millions of users make better investment decisions every day. If you are passionate about equity research and want to make an impact in a fast-growing fintech company, we d love to hear from you. Qualification : Bachelor's degree in Finance, Economics, or a related field. A Masters degree and/or CFA charterholder is highly preferred

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Lead Business Analyst / Product Owner Location: Bangalore, India Experience: 8 12 Years Employment Type: Full-Time Role Overview: We are seeking a dynamic and experienced Lead Business Analyst / Product Owner to lead the strategic planning and delivery of high-value products in the payments domain. The ideal candidate will bridge business objectives with technical execution, ensuring seamless communication between stakeholders, development teams, and end-users. This role is critical in shaping product vision, driving agile practices, and delivering meaningful solutions aligned with business goals. Domain Expertise: Candidates must have hands-on experience in payments-related projects or the financial services domain. Key Responsibilities: Requirement Gathering & Analysis: Engage with stakeholders to gather and analyze business needs and translate them into clear and actionable requirements. Prepare functional and non-functional specifications, user stories, process maps, and wireframes. Ensure alignment between business expectations and technical deliverables. Product Ownership & Backlog Management: Own and manage the product backlog with a focus on continuous grooming and prioritization. Develop, articulate, and communicate the product vision, strategy, and roadmap. Define user stories, acceptance criteria, and epics that drive value and deliver outcomes. Stakeholder Collaboration: Act as a key liaison between business stakeholders and technical teams, ensuring shared understanding of product goals. Conduct and facilitate sprint planning, reviews, and retrospectives in collaboration with cross-functional teams. Ensure seamless coordination among developers, testers, UX designers, and business teams. Testing & Validation: Lead User Acceptance Testing (UAT) and validate that product features meet stakeholder requirements. Track feedback from end users and incorporate into the backlog for iterative improvements. Ensure that solutions are aligned with business objectives and customer needs. Market Research & Strategy: Analyze market trends, competitor offerings, and customer feedback to drive data-informed product decisions. Define and monitor key performance indicators (KPIs) and product success metrics. Support product launch planning and go-to-market strategies. Required Skills & Qualifications: Experience: 8 12 years in business analysis, product ownership, or related roles. Education: Bachelor's or Master s degree in Business, Computer Science, or a related discipline. Technical Skills: Strong experience working in Agile environments (Scrum/Kanban). Proficiency in tools such as JIRA, Confluence, Figma, or Trello. Good understanding of APIs, databases, and system integrations (preferred). Soft Skills: Excellent communication, stakeholder engagement, critical thinking, and problem-solving capabilities. Preferred Qualifications: Relevant certifications such as CBAP, CSPO, or PMI-PBA. Experience with UX/UI principles and wireframing tools. Working knowledge of SQL for data analysis is a plus. Qualification : Bachelor's or Masters degree in Business, Computer Science, or a related discipline.

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

Financial Data Analyst Location: Bengaluru, India Employment Type: Full-time Department: Global Operations About Commure Commure develops AI-driven healthcare technology that reduces administrative burden for providers, enabling more patient-centered care. Our solutions cover clinical documentation, revenue cycle management, patient engagement, and more serving over 250,000 clinicians nationwide and rapidly scaling. Role Overview We are seeking a Financial Data Analyst to ensure the accuracy and integrity of revenue transaction data ingested from various Electronic Health Record (EHR) systems into our financial databases. This role combines quality assurance, data analysis, and a solid grasp of healthcare revenue cycles and compliance. Key Responsibilities Data Verification: Validate revenue transactions from EHR systems against ingested data. Quality Assurance: Develop and execute test plans, document discrepancies, and track defects in data ingestion processes. Mathematical Analysis: Use mathematical techniques to confirm financial data accuracy and integrity. Process Improvement: Collaborate with development teams to enhance data ingestion workflows and QA methods. Documentation: Maintain thorough records of QA tests, data mappings, and findings; prepare reports for stakeholders. Cross-Functional Collaboration: Work with IT, finance, and operations teams to ensure consistent data quality. Compliance: Adhere to HIPAA and other relevant regulatory standards, staying current with best practices in healthcare data handling. Qualifications Bachelor s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 3 years of experience in quality assurance or data analysis. Familiarity with healthcare revenue cycles and compliance standards. Advanced Microsoft Excel skills (VLOOKUP, pivot tables, macros), with experience in automation and data modeling preferred. Experience with data visualization tools such as Tableau or Power BI. Strong statistical, mathematical, and analytical abilities. Proficient in SQL and comfortable working with large datasets. Experience with automated QA/testing frameworks and methodologies. Clear communicator able to convey complex data insights to varied stakeholders. Willingness to work night shifts aligned with US time zones (EST to PST). Mission-Driven: Make a tangible impact by transforming healthcare through technology. Strong Investor Support: Backed by leading investors like General Catalyst, Sequoia, and Y Combinator. Rapid Growth: Both companies have achieved 500%+ YoY growth, with ongoing Series D funding. Comprehensive Benefits: Flexible PTO, health coverage, parental leave (subject to location). Qualification : Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.

Intern - Software Engineer Location: Bengaluru, India Experience: 0 - 1 Year Qualification: Bachelor s degree in Computer Science, Engineering, or related field Job Type: Internship / Full-time About VuNet VuNet is a pioneering company in Business Journey Observability, using Big Data and Machine Learning to optimize digital experiences in financial services. Their platform monitors billions of transactions monthly and supports leading banks in India and MEA. Accelerated hands-on learning with cutting-edge technologies Meaningful work impacting banking and payments industries Mentorship from experienced tech leaders Fast-paced, collaborative, and innovative culture Roles & Responsibilities Contribute to full product development lifecycle in agile teams Collaborate with product, design, QA, and business stakeholders Participate in design, architecture, coding, testing, and deployment of scalable systems Work with technologies like React, TypeScript, Python/Django, Golang, Java, Kafka, Kubernetes, Big Data tools, and Cloud platforms Adopt best practices including code reviews, unit testing, CI/CD, and DevOps What You Bring Strong programming and problem-solving foundation Interest or exposure to JavaScript/TypeScript, Flutter, Python, Golang, Java, or Rust Bonus: familiarity with Linux, databases, Docker, Kubernetes, or AWS/GCP/Azure Self-driven, curious, and eager to learn What VuNet Offers A chance to work on a world-class, Made-in-India observability platform A culture of innovation, collaboration, and continuous learning Opportunity to make a real-world impact with emerging technologies like Gen AI Qualification : Bachelors degree in Computer Science, Engineering, or related field

Analyst, Market Data Services (NE) Location: Bengaluru, Karnataka Team: Data Management Company: BlackRock Role Overview As a Data Management Analyst at BlackRock, you will focus on processing and assuring the quality of alternative assets data. Your work will support clients by maintaining accurate, comprehensive data on firms, funds, and transactions in the alternative asset industry. You ll collaborate globally to research, curate, and enhance data offerings that power investment decisions. Key Responsibilities Acquire, update, and maintain alternative asset data using internal tools. Conduct in-depth web research on firms, funds, and transaction activities. Update databases with key financial data, statistics, and analysis. Work on data quality projects, process improvements, and workflow optimization. Develop subject matter expertise to enhance client data products. Collaborate with stakeholders across business units to evolve data offerings. Experience & Skills Required Bachelor s degree in Finance, Accounting, Business, or Engineering. At least 6 months relevant experience, with a keen interest in finance and markets. Fluent in English with excellent written and verbal communication skills. Proficient in Microsoft Excel, SharePoint, Office 365. Familiarity with automation and data tools like Power Automate, VBA, Python, or SQL. Knowledge of data visualization tools such as PowerBI, Qlik, or Tableau. Some exposure to project and stakeholder management. Work Model & Benefits Hybrid work model: 4 days in office, 1 day remote (with some flexibility). Strong retirement plans, tuition reimbursement, healthcare, and family support. Flexible Time Off (FTO) to support work-life balance. About BlackRock BlackRock s mission is to help people achieve financial well-being globally. By investing in its employees, BlackRock fosters a supportive and innovative culture to enable growth, inclusion, and impact. Qualification : Bachelors degree in Finance, Accounting, Business, or Engineering

Private Markets Data Extraction, Aladdin Data Director Location: Bengaluru, Karnataka Team: Data Science Company: BlackRock About the Role We are seeking a tech-savvy leader to head our Private Markets Data Extraction team within the Aladdin Data group. This role involves driving the strategic direction of data initiatives by leveraging cutting-edge technologies like Large Language Models, AI Orchestration Frameworks (e.g., LangChain), Spring, GIT/ADO, Solr, Cassandra, and more. You will work closely with Data, Product, and Technology teams to ensure our data products exceed client expectations in quality and scope, while gaining deep exposure to finance domains such as risk management, valuations, and operations. What You ll Do Develop strategies for automated extraction of data from semi-structured and unstructured sources (e.g., regulatory documents) to build scalable, reusable pipelines. Architect and build extensible data ingestion and extraction platforms accessible to internal teams and customers. Own technical architecture, design principles, and application governance. Manage diverse, global teams of engineers, data scientists, and other tech professionals. Collaborate with cross-office and international teams. Provide expert technical guidance on software design and implementation. Mentor and support career growth for junior team members. What You Need B.S. / M.S. in Computer Science, Engineering, or related field. 12+ years of professional experience with proven leadership. Strong ability to communicate technical strategies clearly. Hands-on experience with Java and Python, object-oriented programming. Experience designing/building APIs and microservices. Expertise with open-source technologies: Spring/SpringBoot, Apache Solr, Protocol Buffers, LangChain, Docker. Experience with relational and NoSQL databases (e.g., Apache Cassandra). Agile team experience with strong problem-solving and rapid learning capabilities. Excellent interpersonal, communication, and presentation skills. Experience mentoring junior engineers. Good to Have Cloud-native development experience (Kubernetes, Docker) and Microsoft Azure. Familiarity with Apache Kafka or other pub-sub frameworks. Experience with Large Language Models (OpenAI LLMs), AI app frameworks, vector databases, NLP. Finance and financial services domain expertise. Benefits & Work Model Comprehensive benefits including retirement plans, tuition reimbursement, healthcare, family support, and Flexible Time Off (FTO). Hybrid work: typically 4 days in-office, 1 day remote with some flexibility depending on business needs. Collaborative culture fostering learning and innovation. About BlackRock BlackRock s mission is to help more people experience financial well-being globally. We invest in our employees to create a welcoming, valued, and supportive environment that encourages growth and impact. Qualification : B.S. / M.S. in Computer Science, Engineering, or related field.