Automation Framework Development Jobs in Mumbai

Principal Infrastructure Operations & Services Location: Mumbai Skill Category: IT / Technology Work Type: Full-Time Company Overview Nomura is a global financial services group with an integrated network across ~30 countries. By connecting markets East & West, Nomura serves individuals, institutions, corporates, and governments through Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship and considered thought leadership. Nomura Services India (Powai) supports global operations with world-class capabilities in trading support, research, IT, financial control, operations, risk management, and legal support. The Powai operation plays a critical role in facilitating Nomura s global business growth. Role Overview The Principal Infrastructure Operations & Services role focuses on Identity and Access Management (IAM), particularly Multi-Factor Authentication (MFA) systems. You will drive MFA implementation and migration projects, serve as a subject matter expert (SME), and ensure security and regulatory compliance across the organization. Key Responsibilities MFA Implementation & Migration Lead the migration from Cisco DUO and RSA SecurID to Microsoft Authenticator. Ensure minimal service disruption and optimal user experience during migrations. Technical Expertise & Support Act as SME for MFA technologies, including Cisco DUO, RSA SecurID, and Microsoft Authenticator. Provide technical guidance, integration support, and troubleshooting expertise. Design & Architecture Collaborate with architecture teams to design robust MFA solutions aligned with security requirements and industry regulations. Ensure solutions are scalable, secure, and compliant. Policy Development Develop and enforce MFA policies and procedures following organizational security frameworks and best practices. User Training & Support Conduct training and provide ongoing support for internal teams and end-users on MFA tools and processes. Monitoring & Reporting Implement monitoring solutions to track MFA usage and performance. Generate reports for management highlighting effectiveness and improvement opportunities. Risk Assessment Conduct risk assessments related to identity and access management. Identify vulnerabilities and propose remediation strategies to mitigate risk. Qualifications & Requirements Bachelor s degree in Computer Science, IT, or related field; Master s preferred. Minimum of 10 years of experience in Identity and Access Management, focusing on MFA solutions. Proven experience in financial institutions with strong understanding of regulatory and security requirements. Hands-on expertise with Cisco DUO, RSA SecurID, and Microsoft Authenticator, including migration projects. Strong knowledge of identity protocols (SAML, OAuth, OpenID Connect) and enterprise security frameworks. Excellent analytical, problem-solving, and communication skills. Relevant certifications such as CISSP, CISM, or CISA are highly desirable. Why Join Nomura This role offers an opportunity to lead critical IAM and MFA initiatives in a global financial institution, ensuring robust security, compliance, and seamless user experience. You will work at the forefront of identity security technologies while influencing enterprise-wide security strategy. Qualification : Bachelors degree in Computer Science, IT, or related field; Masters preferred

VP Global Delivery Head Location: Mumbai Experience: 20 25 Years Function: Delivery Leadership | Enterprise Software | BFSI Join VuNet Powering the Future of Digital Financial Experiences At VuNet, we're building the next frontier of Business Journey Observability a deep-tech platform that uses Big Data and AI/ML to radically transform digital experiences for banks, financial services, and enterprises. We monitor 28+ billion monthly transactions, empowering 300+ million users. VuNet is Series B funded, recognized by Gartner, Forbes, NASSCOM, and scaling fast across India, MEA, and global markets. Your Role: VP Global Delivery Head We are seeking a seasoned, high-impact leader to spearhead the global delivery of our mission-critical observability platform, with a primary focus on BFSI clients. As the Global Delivery Head, you will own the end-to-end lifecycle of customer implementations from onboarding and integration to adoption and long-term success in high-SLA, regulated, and large-scale environments. You ll lead multidisciplinary teams across delivery, engineering, SRE, support, and customer success, ensuring strategic execution, operational excellence, and measurable value for our clients. Key Responsibilities 1. Strategic Delivery Leadership Define and execute the delivery roadmap aligned with product strategy and GTM plans. Drive customer expansion through successful implementations and measurable business outcomes. Enable platform adoption at scale across complex environments like core banking, payments, hybrid cloud, and microservices. 2. End-to-End Customer Delivery Own the full delivery lifecycle onboarding, implementation, optimization, support. Lead complex integrations with Kubernetes, cloud-native stacks, enterprise systems. Ensure high-SLA go-lives, on-time rollouts, and outcome-driven execution. Travel as needed (domestic/international) to lead critical engagements and build trusted partnerships. 3. Program & Team Management Lead and mentor cross-functional teams: Implementation Engineers, TPMs, SREs, Expert Services, Support. Implement playbooks, KPIs, delivery frameworks, and standard operating procedures. Oversee resource planning, forecasting, and operational governance across accounts. 4. Executive Stakeholder Management Act as a trusted advisor to CXO-level client stakeholders CIOs, Infra Heads, SRE Leads. Present business value through dashboards, metrics, traces, and ROI models. Own delivery health reporting to internal leadership and drive continuous improvements. 5. Delivery Excellence & Process Innovation Champion observability best practices (APM, tracing, log analytics, synthetic monitoring, etc.). Institutionalize automation, monitoring, and proactive incident management. Ensure regulatory and audit compliance for BFSI and PSU deployments. What You Bring Technical Acumen Deep understanding of observability platforms (Grafana, Prometheus, Datadog, Splunk, Dynatrace, etc.). Hands-on knowledge of cloud-native, DevOps, and SRE ecosystems (Kubernetes, CI/CD, AWS/Azure/GCP). Exposure to enterprise architecture, telemetry pipelines, and platform instrumentation. Leadership & Delivery Experience 20 25+ years in enterprise software delivery; 10+ years in BFSI with direct exposure to mission-critical programs (e.g., core banking, real-time payments). Proven success in high-pressure, complex, multi-stakeholder implementations. Familiarity with PSU banks, regulated environments, audit cycles, and compliance standards. Strong grounding in Agile, ITIL, and program management best practices. Soft Skills & Presence Exceptional communication, leadership presence, and stakeholder influence. Ability to navigate executive-level conversations and drive strategic outcomes. Sharp analytical mindset with a passion for structured delivery and high performance. Success Metrics (KPIs) Time-to-onboard and customer satisfaction (NPS/CSAT). Platform uptime and telemetry coverage. SLA adherence and incident resolution TAT. Observability adoption (dashboards, alerts, integrations). Delivery team productivity and retention. At VuNet, you ll be at the forefront of a Made-in-India global tech movement. We re creating a category-defining observability platform, with a bold mission and a passionate team behind it. What You ll Experience: Ownership from Day 1: Drive critical programs, influence strategy, and shape success. Cutting-Edge Innovation: Work on AI/ML, telemetry, and next-gen enterprise software. Collaborative Culture: Work with mission-driven colleagues in a transparent and growth-focused environment. Leadership Opportunity: Build and scale global delivery for a high-impact platform. Perks & Benefits Comprehensive health insurance (including parents & dependents). Mental wellness support and 1:1 counselling access. Gen AI-enabled tech and collaboration workspaces. Career development support, training programs, and leadership coaching. High-trust, inclusive, and empowering workplace culture.

L3 Support / Software Engineer Location: Mumbai Main Responsibilities: Develop and implement fixes, test, deploy, support, maintain, and enhance applications. Coordinate with developers and business analysts to understand functionalities, resolve issues, and implement necessary changes. Troubleshoot and resolve complex problems and technical issues efficiently. Maintain and manage existing Level 3 support bases. Exhibit strong debugging skills to identify and fix issues promptly. Handle configuration management activities. Manage release and deployment tasks. Track defects and provide timely updates. Participate in planning and reporting activities. Qualifications & Work Experience: Bachelor s degree in Engineering (BE/B.Tech) or MCA. 2 to 4 years of relevant experience. Prior experience in the Insurance domain is mandatory. Technical Skills: Proficient in C#, ASP.NET, MVC 4/5. Strong knowledge of SQL and database concepts. Experience with Web Services: WCF, REST. Hands-on experience with Kendo UI controls, HTML, CSS, jQuery, and JavaScript. Familiarity with Entity Framework 6.0. Personal Skills: Strong teamwork and collaboration abilities. Proactive attitude with a willingness to take initiative. Effective communication skills. Supportive of team members and able to work in a fast-paced environment. Qualification : Bachelors degree in Engineering (BE/B.Tech) or MCA

Job Title: Security Automation Engineer Location: Mumbai Education: Graduate / Post-Graduate in Computer Science, Engineering, or a related field Experience: 2 8 years in IT / IT Security (Minimum 2 years in security automation or relevant role) Role Overview We are looking for a Security Automation Engineer with a strong foundation in scripting, system administration, and security tooling. In this role, you'll be responsible for automating key security functions, integrating security tools with enterprise systems, and enabling security visibility across infrastructure through dashboards and reporting. If you re passionate about automating security operations and building scalable security workflows, we want to hear from you. Key Responsibilities Security Tooling Implementation: Evaluate and implement new security tools and technologies aligned with organizational needs. Tool Integration & Automation: Automate security operations by integrating various tools and platforms using APIs, custom scripts, and automation frameworks. Ticketing System Integration: Link security tools with ITSM/ticketing platforms to streamline incident and alert workflows. Dashboard & KPI Automation: Develop scripts/tools for automated generation of security dashboards and KPI reports. CI/CD Security Integration: Collaborate with DevSecOps teams to build and enhance secure CI/CD pipelines, embedding security controls into the SDLC. Internal Enablement & Training: Provide internal training and documentation to help teams safely adopt and manage automation scripts. Cross-Functional Collaboration: Work closely with IT, DevOps, and security teams to ensure effective and secure automation implementations. Required Skills & Experience Technical Skills: Scripting & Automation: Hands-on experience with scripting languages such as PowerShell, Shell, Python, Perl, Ruby, Go, Groovy, and Helm. Tooling & Integration: Experience in automating and integrating tools through REST APIs, CLI, or other interfaces. System Administration: Proficiency in UNIX/Linux environments installation, configuration, and troubleshooting. Networking Fundamentals: Strong understanding of OSI layers, TCP/IP, and general networking concepts. Application Stack Management: Exposure to application servers like Tomcat, JBoss, Apache, NGINX, and Ruby, etc. Programming Background (Basic): Ability to write and understand code for automation and tool integration. Preferred Qualifications Bachelor s or Master s in Computer Science, Information Security, or a related technical field. Prior experience in security automation, DevSecOps, or security operations. Exposure to CI/CD environments and security tooling within development pipelines. Core Competencies Problem-Solving: Ability to break down complex security tasks and automate them efficiently. Collaboration: Strong team player with experience working across departments. Communication: Effective verbal and written skills, especially for internal knowledge sharing. Security Mindset: Proactive approach to improving security posture through automation. Be part of a modern security team driving automation-first security operations. Work with cutting-edge tools and cloud environments. Collaborate with skilled professionals in a cross-functional setup. Opportunity to create impact by improving security visibility and efficiency. Competitive compensation and growth opportunities. Qualification : Graduate / Post-Graduate in Computer Science, Engineering, or a related field

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Job Title: Senior Manager Data Analytics Department: PDM Strategy & International Business Base Location: Mumbai Reporting To: Head Strategy & Analytics / Senior Leadership Team Experience Required: 10 12 Years (Relevant experience in BI, data analytics, and team management) Qualification: Bachelor's or Master s Degree in Computer Science, Data Engineering, or related field Role Overview: The Senior Manager Data Analytics will lead end-to-end Business Intelligence (BI) initiatives, with a focus on building a robust and scalable reporting platform using Power BI and the MSBI stack. The role requires deep expertise in data visualization, team leadership, ETL development, and data architecture design. This position plays a key strategic role in transforming how data is used across the organization empowering faster, data-driven decisions across functions like Sales, Investments, Risk, Compliance, and HR. Key Responsibilities: 1. BI Project Delivery & Visualization Lead and ensure timely execution of BI and data analytics projects. Deliver actionable, real-time dashboards and reports for internal business teams. Transform existing Power BI platform into a world-class analytics and visualization hub. Create dashboards that are intuitive, engaging, and built for decision support. 2. Stakeholder Engagement & Strategy Alignment Collaborate with senior leadership and functional heads to understand business problems and convert them into analytical models and reporting tools. Serve as a thought partner and SME for business users across the SBIFM landscape. Present visualizations and insights to senior stakeholders to influence strategy. 3. Team Management Lead, mentor, and manage a team of 15 20 developers and analysts focused on MSBI and Power BI. Oversee day-to-day development tasks, performance reviews, and upskilling initiatives. Foster a data-driven culture and best practices in dashboard design and reporting. 4. Data Architecture & Engineering Design and optimize backend architecture for scalability and agility using ETL tools and data warehousing techniques. Ensure strong data governance, security, and quality standards across reporting systems. Implement real-time data pipelines and integration with cloud technologies such as Azure and Snowflake (desirable). 5. Cross-Functional Collaboration Work closely with multiple departments: Sales, Operations, Finance, Compliance, Risk, and HR. Drive continuous improvement in data access, quality, and utility for all functions. Create and maintain a centralized reporting infrastructure aligned with enterprise data strategy. 6. Business Impact & Decision Support Enable smarter and faster decision-making by delivering meaningful insights. Drive revenue growth and deal conversions through better business intelligence. Support predictive analytics, customer segmentation, and performance dashboards. Mandatory Technical Skills: MSBI Stack (SSIS, SSRS, SSAS) Power BI Advanced Dashboarding and Visualization ETL Development Tools Experience with report automation, KPI frameworks, and interactive dashboards Desirable Technical Skills: SQL Programming & Data Modeling Cloud Data Platforms: Azure, Databricks, Snowflake Familiarity with data lake concepts, CI/CD pipelines, and DevOps for data analytics Key Competencies: Leadership & Team Building Strong ability to manage cross-functional data teams Business Acumen Ability to understand and align data solutions to business strategy Communication Strong presentation and stakeholder management skills Analytical Thinking Problem-solving mindset with attention to data accuracy Project Management Ability to handle multiple projects in an agile environment Job Summary: The Senior Manager Data Analytics is a strategic leadership role focused on building and managing a robust data reporting ecosystem within SBIFM. This role blends technical expertise with business intelligence to deliver impactful analytics, drive operational efficiency, and support senior leadership in data-driven decision-making. A critical enabler of growth and innovation, this position is ideal for a high-performing individual who thrives at the intersection of technology, data, and business. Qualification : Bachelor's or Masters Degree in Computer Science, Data Engineering, or related field

Data Integration Specialist Python Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance. Your Role at QRT As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated. Key Responsibilities Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets. API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems. Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability. Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research. User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs. Required Experience & Skills Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations. Programming: Advanced proficiency in Python is mandatory. Experience or familiarity with C#, Rust, or JavaScript is a plus. Data Handling: Proven experience working with large-scale structured and unstructured datasets. Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms. Finance Domain: Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a global, fast-paced environment. Excellent English communication skills, both written and verbal. Nice to Have Prior experience in a quantitative research or trading-focused organization. Familiarity with data modeling, ETL frameworks, or real-time data streaming. What QRT Offers Work in a cutting-edge technical environment at the forefront of quantitative finance. Exposure to a diverse range of global financial data and complex integration challenges. A collaborative, intellectually rigorous culture that values innovation and continuous learning. Competitive compensation and benefits. Support for professional development, work-life balance, and diversity and inclusion.

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

Software Engineer Data Platform Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT QRT is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. Our technology-driven and research-focused culture enables us to solve complex challenges and deliver high-quality returns for our investors. Innovation and collaboration are at the heart of everything we do. Your Future Role at QRT We are seeking a highly skilled Software Engineer to join our Data Engineering team. You will contribute to designing, building, and scaling our data platform with a focus on developing a new data pipeline framework. Your work will directly impact our trading and research capabilities, collaborating with engineers and researchers to create robust, scalable solutions. While prior experience with financial data is a plus, it is not mandatory. We welcome talented developers from diverse backgrounds and provide comprehensive training. Key Responsibilities Design, develop, and maintain scalable and robust data services following best software engineering practices. Write automated tests to ensure reliability and support continuous delivery and integration. Maintain and scale delivery and integration pipelines. Develop reusable libraries and tools to enhance the Data Engineering team s productivity. Collaborate effectively with cross-functional teams, including researchers and engineers, to propose and implement new features in the data platform framework. Your Present Skillset Strong programming skills with a passion for software design and architecture, preferably in Python. Experience with testing frameworks and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with SQL and relational database concepts. Knowledge of modern data lake and lakehouse technologies such as Apache Iceberg, Delta Lake, or Snowflake. Excellent communication skills and ability to work collaboratively in a small, close-knit team environment. Experience with cloud platforms, preferably AWS. Fluency in English (written and spoken). Work in a technology-driven environment focused on innovation and impact. Equal opportunity employer embracing diversity and inclusion. Supportive culture encouraging professional development and work-life balance.

Learning & Development Professional Location: Mumbai, India Company: Siemens Limited Function: People & Organization (HR) Experience: 6 10 years About Siemens Siemens Limited leads in technology and innovation across electrification, automation, and digitalization. Our success stems from a deep commitment to developing our people. The Learning & Development team plays a critical role in shaping a future-ready workforce by crafting impactful learning programs that align with business strategies. Role Overview We seek a forward-thinking, business-oriented Learning & Development professional to join our People & Organization (HR) team. This role focuses on identifying learning needs, curating and executing development initiatives, and fostering a culture of continuous learning across our diverse business units. Key Responsibilities Collaborate with business units and HR Business Partners to conduct Learning Needs Analysis (LNA) and align L&D interventions with strategic priorities. Design and deliver blended learning solutions, including in-person, virtual, and digital programs across leadership, behavioral, and functional skills. Curate relevant learning content from internal resources and global platforms to ensure up-to-date, impactful training materials. Partner with global teams to implement and localize global L&D initiatives, maintaining alignment with Siemens organizational learning strategy. Monitor and analyze learning effectiveness using feedback, participation metrics, and impact assessments to continuously enhance programs. Manage relationships with external vendors and internal facilitators to ensure smooth program delivery. Drive adoption of digital learning tools and platforms such as Degreed and Saba, supporting a modern learning experience. Support diversity & inclusion learning programs, onboarding initiatives, and career development frameworks. Required Skills and Qualifications Master s degree in HR, Psychology, or a related discipline. 6 10 years of progressive experience in Learning & Development, preferably in a large, matrixed organization. Strong facilitation and instructional design expertise. Proficiency with digital learning platforms and content curation tools. Excellent project management and stakeholder engagement skills. Data-driven approach to measuring learning outcomes and improving program effectiveness. Familiarity with Siemens tools or similar corporate learning systems is a plus. A chance to collaborate with cross-functional teams and influence Siemens India s learning culture. Exposure to global L&D best practices and access to advanced learning technologies. A supportive, innovative environment that fosters professional growth and creativity. Qualification : Masters degree in HR, Psychology, or a related discipline.

Job Title: AWS Cloud Solution Architect Location: Mumbai, India Experience: 8+ years (with minimum 5 years in Cloud) Education: Bachelor s Degree + AWS Certified Solutions Architect (Associate or Professional) Job Profile We are seeking an experienced AWS Cloud Solution Architect with a strong background in cloud architecture, solution design, and presales activities. The ideal candidate will have hands-on expertise in large, complex cloud deployments, especially AWS migration projects, and be capable of leading cloud enterprise solutions implementation. Key Responsibilities Design, implement, and deploy scalable cloud-based enterprise solutions on AWS. Lead migration projects from on-premises or other cloud platforms to AWS. Work closely with a team of Cloud Administrators and Developers to deliver innovative cloud solutions. Implement automation throughout the software development lifecycle (SDLC) to accelerate delivery and minimize errors. Administer and oversee automation tools and processes, taking corrective actions to improve system stability and prevent recurring issues. Collaborate with presales teams to architect cloud solutions for prospective clients. Required Skills and Experience Hands-on Experience: AWS Cloud Administration via AWS Console and CLI. AWS CloudFormation, CodePipeline, CodeDeploy, and other Infrastructure as Code (IaC) tools. Scripting with Bash and PowerShell. Linux and Windows system administration. Container technologies including Docker and Kubernetes (3-4 years experience). Automation and CI/CD: Experience with Infrastructure Automation tools such as Chef, Puppet, Ansible (minimum 2). Familiarity with source control management tools like Git. Experience with CI/CD tools such as Jenkins, CircleCI, or equivalent. Certifications: At least one AWS Associate or Professional level certification in Solutions Architecture. Soft Skills: Excellent communication and collaboration skills. Ability to work effectively within cross-functional teams and communicate complex technical concepts to stakeholders. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or related field. 8-13 years of professional experience with at least 5 years focused on cloud technologies. Minimum 4-5 years of hands-on AWS experience, especially in migration projects. Proven track record in architecting, designing, and deploying large scale AWS cloud solutions. Join us to architect and lead cloud innovations that drive business transformation! Qualification : Bachelors Degree in Computer Science, Engineering, or related field.

Relationship Manager (RM) Global Trade Finance (GTX) Location: Mumbai Experience: 1 - 3 Years Reports To: Head Global Trade Finance Company: KredX About GTX GTX is an IFSCA-licensed International Trade Financing Services (ITFS) platform based out of GIFT City, designed to support exporters and importers with their cross-border working capital needs through cutting-edge technology. GTX is committed to empowering international trade with innovative financial services, advanced technology, and deep market expertise. Role Overview As a Relationship Manager for Global Trade Finance, you will be instrumental in structuring and executing trade finance transactions, managing client portfolios, coordinating with banks and financial institutions, and ensuring full regulatory and operational compliance. This role offers a unique opportunity to work closely with exporters, importers, banks, fintech platforms, and internal stakeholders to deliver seamless, secure, and scalable cross-border financing solutions. Key Responsibilities Client & Transaction Management Originate, structure, and execute trade finance solutions such as Export Factoring, Letters of Credit (LC), Standby Letters of Credit (SBLC), forfaiting, factoring, buyer s and supplier s credit. Manage and nurture a portfolio of corporate clients involved in international trade. Identify opportunities to cross-sell trade products and deepen client relationships. Operational & Risk Oversight Ensure all documentation, risk assessments, compliance (KYC/AML), and credit appraisals are properly managed. Monitor disbursals, repayments, collateral, and transaction flows. Work collaboratively with risk, compliance, and legal teams to mitigate transactional risks. Banking & Institutional Relationships Interface and negotiate with domestic and international banks, NBFCs, Export Credit Agencies (ECAs), and factoring companies for syndication and deal closures. Negotiate terms, pricing, and credit limits with funding partners. Strategic & Internal Projects Support product development, process automation, and digitization initiatives in trade finance. Provide insights into market trends, trade finance regulations (UCP, URDG, FEMA, RBI guidelines), and client behaviors. Key Requirements Education & Experience 1-3 years of experience in trade finance roles within banks, NBFCs, fintech companies, or corporate treasury. Additional certifications such as CDCS (Certified Documentary Credit Specialist) or CITF (Certificate in International Trade Finance) are advantageous. Strong understanding of trade finance instruments, regulatory environment, and global trade dynamics. Skills Strong analytical, structuring, and negotiation skills. Proficiency in trade documentation, credit analysis, and risk management. Excellent communication, relationship-building, and stakeholder management skills. Be part of a high-growth vertical with global exposure backed by institutional credibility. Work with a dynamic, innovative team focused on transforming trade finance through digital technologies. Opportunity to lead and contribute to transformative projects in an evolving ecosystem.

Position: Machine Learning Engineer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are seeking an experienced Machine Learning Engineer to lead our efforts in developing Artificial Intelligence (AI) and Natural Language Processing (NLP) based products. You will be responsible for creating machine learning models, retraining systems, and building self-learning applications. The role requires exceptional skills in statistics, programming, and an in-depth understanding of data science and software engineering. Your primary goal will be to shape and build efficient, self-learning applications that meet business objectives. Key Responsibilities: Model Development: Develop machine learning models that help achieve business objectives and establish metrics to track their progress. Resource Management: Manage resources such as hardware, data, and personnel to meet project deadlines. Algorithm Selection: Analyze and rank ML/NLP algorithms based on their likelihood of success in solving a given problem. Data Analysis: Explore and visualize data to understand its nature and identify potential issues that could affect performance when the model is deployed in real-world settings. Data Acquisition & Preparation: Supervise the data acquisition process and identify additional datasets if necessary. Define the data pre-processing and feature engineering strategies required. Model Training & Tuning: Train models, tune hyperparameters, and analyze model errors, implementing strategies to overcome them. Model Deployment: Deploy models to production and ensure they meet operational requirements. Skills and Qualifications: Experience: Minimum of 3 years of experience as an ML/NLP Engineer or in a similar role. Frameworks & Libraries: Proficiency in machine learning frameworks like Keras or PyTorch and libraries such as scikit-learn, pandas. Data Handling: Expertise in visualizing and manipulating large datasets. Text Representation: Deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, etc. OpenCV: Proficiency with OpenCV for image processing. Hardware Selection: Ability to select and manage hardware to run ML models efficiently, ensuring the required latency is met. Degree: A degree in Computer Science, Mathematics, Computational Linguistics, or a related field. Qualification : Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Position: Salesforce Lightning Developer/JavaScript Developer Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: We are looking for a Salesforce Lightning Developer to help develop and customize Salesforce lightning applications. You will work with Aura and LWC components, build business logic using Apex, and create rich UIs using Salesforce Lightning web components. Strong JavaScript skills are essential for this role. Key Responsibilities: Develop and customize Salesforce lightning applications using Aura and LWC components. Build and maintain business logic in Apex. Create rich and dynamic UIs using Salesforce Lightning Web Components. Collaborate with other developers and business teams to deliver high-quality solutions. Requirements: Experience: 6 months to 3 years. Skills: Strong understanding of JavaScript, Apex, Aura, LWC. Availability: Immediate joiners only. Location: Vile Parle West, Mumbai. Bond: Should be willing to sign a 2-year bond.

Job Title: HubSpot CRM Developer Reports To: Technical Lead / Engineering Manager Location: Mumbai Job Description: We are looking for an experienced HubSpot CRM Developer to join our dynamic team. This role is pivotal in leading the design, development, and implementation of HubSpot CRM solutions, including customizations, integrations, and automation workflows. You will work closely with design, management, and clients to architect scalable, maintainable solutions that meet business goals and align with industry best practices. Key Responsibilities: Lead HubSpot CRM Development: Lead the design, development, and implementation of HubSpot CRM solutions, ensuring customization, integration, and automation workflows meet the business needs. Collaborate with cross-functional teams, including design, management, and clients, to gather requirements and develop robust solutions. Customization and Integration: Customize HubSpot modules, templates, and APIs to address specific business requirements. Architect scalable and maintainable solutions for CRM and marketing automation, optimizing HubSpot performance. Optimization and Troubleshooting: Troubleshoot HubSpot-related issues, ensuring optimal performance and resolving any roadblocks that may arise. Stay up-to-date with the latest HubSpot features and updates, proactively identifying opportunities for improvement. Mentorship and Technical Guidance: Provide technical guidance and mentorship to junior developers and team members, fostering a collaborative learning environment. Strategic Contribution: Contribute to the overall technical strategy and roadmap for HubSpot implementation and integration, ensuring alignment with company goals and industry standards. Collaboration and Communication: Work effectively with cross-functional teams, including sales, marketing, and product, to ensure smooth and efficient HubSpot implementation and integration. Communicate effectively with both technical and non-technical stakeholders to translate requirements into actionable solutions. Requirements: Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred. Experience: 3+ years of experience in software engineering, with a focus on CMS/CRM systems and marketing automation platforms (preferably HubSpot). Extensive hands-on experience with HubSpot CMS/CRM, including proficiency in HubSpot APIs, workflows, custom objects, and integrations. Technical Skills: Strong programming skills in languages such as JavaScript, Python, or Java. Experience with front-end technologies such as HTML, CSS, and modern JavaScript frameworks like React or Vue. Solid understanding of relational databases and data modeling concepts. Problem-Solving & Analytical Skills: Strong problem-solving abilities with a keen attention to detail. Ability to troubleshoot issues and optimize HubSpot performance. Communication and Collaboration: Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Ability to articulate complex technical concepts to non-technical stakeholders. Certifications (Preferred): HubSpot Developer Certification or similar certifications are preferred. Growth Opportunities: Enhance your skills by working on cutting-edge CRM solutions and with an innovative team. Collaborative Environment: Work in a cross-functional and dynamic environment, collaborating with talented professionals. Career Advancement: Take on leadership roles and contribute to strategic decision-making in an expanding organization. If you are passionate about building scalable and innovative CRM solutions, have a deep understanding of HubSpot, and enjoy working in a collaborative environment, we would love to hear from you. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is preferred.

Job Description: Django Developer Description: The primary role is to design, develop, and maintain web applications using the Django framework. This involves writing server-side logic, managing databases, and ensuring application security and scalability. The developer will integrate their work for seamless functionality by collaborating with a cross-functional team and contributing to sprint ceremonies. Writing clean, efficient, reusable, and testable code that adheres to Python standards and best practices. Troubleshooting and debugging applications. Maintaining and updating existing source code to improve functionality and security. Cloud native application development and deployment mindset. Technical Skills and Qualification: Minimum of 5-8 years experience with development using Python Django Rest Framework. Strong knowledge and experience of RESTful APIs and services development. Strong understanding of front-end technologies (HTML, CSS, JavaScript). Strong knowledge of relational and non-SQL databases. Strong Experience with PostgreSQL or similar. Strong knowledge of Software Development Lifecycle. Design and develop high-quality web applications. Maintain and optimize existing codebases. Ensure the security and scalability of applications. Good understanding of development processes. Experience with Git repository and branching concepts. Experience of containerization development and deployment with Docker or similar. Knowledge and experience with cloud storage. Optional Skills: Knowledge of Artificial Intelligence, Generative AI, and LLM. Knowledge of Svelte - Front end framework. Knowledge of GCP deployment will be an advantage. Knowledge of Spanner embeddings will be an advantage. Key Programming Skillset: Development language: Python Framework: Django / Flask Qualifications: Bachelor s degree in computer science or engineering or similar preferred. Establish and maintain effective working relationships with peers, co-workers, and managers. Perform a wide variety of duties and responsibilities with accuracy and speed under the pressure of time-sensitive deadlines. Excellent interpersonal, communication, and organizational skills are essential to perform the tasks. Capable of reading existing code to debug or enhance. Qualification : Bachelors degree in computer science or engineering or similar preferred.

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

Job Title: Data Collection Transformation Senior Associate Location: Mumbai Experience: Relevant experience in data acquisition, ESG data management, process automation, and data quality. Company: MSCI About MSCI: MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency. At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities. Your Team: The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets. Your Key Responsibilities: Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks. Work on electronification of ESG policies and principles by converting them into structured, operational data definitions. Develop data collection templates and translate them into implementable data models. Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions. Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks. Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns. Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures. Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows. Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements. Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes. Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention. Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders. Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery. What We re Looking For: Strong analytical mindset with a keen attention to detail. Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus. Experience working with visualization tools such as Power BI. Advanced Excel skills, with the ability to manipulate and analyze complex datasets. Self-starter with strong problem-solving abilities, capable of working in unstructured environments. Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies. Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data. Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage. Preferred Qualifications: Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field. Certifications in ESG, Sustainable Finance, or Data Analytics are a plus. What We Offer: Transparent compensation and comprehensive benefits tailored to your location. Flexible work options and access to cutting-edge technology. A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI. Clear career progression paths with opportunities for internal mobility and leadership development. A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more. Qualification : Bachelors or Masters degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.

Java Project Lead Location: Mumbai Job Type: Full-time Experience: 8-10 Years About the Role We are looking for an experienced Java Project Lead to oversee software development projects and lead a team of developers. The ideal candidate will have 8-10 years of experience in Java development and a strong background in software architecture, team leadership, and project management. You will be responsible for designing, implementing, and delivering high-quality software solutions while ensuring best practices and technical excellence. Key Responsibilities Lead and manage Java development projects from inception to deployment. Collaborate with stakeholders to define project scope, technical requirements, and timelines. Architect, design, and implement scalable and high-performance Java applications. Guide and mentor a team of developers, ensuring adherence to best coding practices. Conduct code reviews and enforce quality standards. Optimize application performance and troubleshoot technical issues. Manage project risks, timelines, and deliverables. Stay updated with the latest Java technologies and industry trends. Required Qualifications 8-10 years of experience in Java development and software architecture. Strong proficiency in Core Java, Spring, Spring Boot, Hibernate, and RESTful APIs. Experience in Microservices architecture and Cloud platforms (AWS, Azure, GCP). Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.). Hands-on experience with CI/CD pipelines, version control (Git, Jenkins), and containerization (Docker, Kubernetes). Proven experience in leading development teams and managing software projects. Excellent problem-solving, decision-making, and communication skills. Preferred Qualifications Experience with Kafka, RabbitMQ, or other messaging systems. Familiarity with front-end technologies such as Angular or React. Exposure to DevOps practices and automation tools. Knowledge of Agile/Scrum methodologies and project management tools (JIRA, Trello, etc.). Competitive salary and benefits package. Leadership opportunities in a dynamic work environment. Exposure to cutting-edge technologies and challenging projects. Career growth and professional development programs.

DevOps Engineer Location: Mumbai (On-site/Hybrid/Remote) Job Type: Full-time Experience: 4+ Years About the Role We are seeking a talented and proactive DevOps Engineer with 4+ years of experience to join our team in Mumbai. The ideal candidate will be skilled in automating, monitoring, and maintaining infrastructure and deployments to ensure continuous integration, continuous delivery, and a smooth deployment pipeline. You will work closely with development and IT teams to streamline processes and improve system reliability and scalability. Key Responsibilities Implement and manage CI/CD pipelines for faster and more reliable software releases. Automate infrastructure provisioning and configuration management using tools such as Terraform, Ansible, or Puppet. Monitor system performance and ensure high availability, scalability, and security of applications. Collaborate with development teams to design, deploy, and scale applications and systems. Manage cloud-based infrastructure (AWS, Azure, GCP) and on-premise resources. Troubleshoot and resolve infrastructure-related issues, performance bottlenecks, and failures. Ensure efficient use of resources and implement cost-saving practices. Maintain and improve deployment workflows and release management. Required Qualifications 4+ years of experience in a DevOps or Systems Engineering role. Strong knowledge of Linux/Unix systems and scripting languages (Bash, Python, etc.). Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.). Familiarity with monitoring tools like Prometheus, Grafana, Nagios, or similar. Strong understanding of version control systems (Git, GitHub, GitLab). Knowledge of networking concepts, firewalls, and security best practices. Preferred Qualifications Experience with microservices architecture and serverless frameworks. Familiarity with configuration management tools (Ansible, Chef, SaltStack). Knowledge of Agile/Scrum methodologies. Experience with database management (SQL/NoSQL) and data pipeline automation. Competitive salary and benefits package. A dynamic and collaborative work environment. Exposure to cutting-edge technologies in a fast-paced industry. Opportunities for career growth and professional development.