Cloud Platforms Jobs in Mumbai

Solution Architect Location: Mumbai Experience: 5+ Years Type: Full-Time About Fynd Fynd is India s largest omnichannel platform and a leading multi-platform tech company at the intersection of retail, AI, ML, big data, and digital infrastructure. Powering over 2,300 brands, we enable seamless integration of online and offline retail, store operations, inventory, and customer engagement transforming business operations and customer experiences across the board. About the Role We are seeking a Solution Architect to lead the design and implementation of scalable, secure, and robust technology solutions that align with business goals. You ll collaborate across engineering, product, DevOps, and business teams translating complex requirements into strategic architectural blueprints and delivering high-impact, performant systems. This role is ideal for someone with strong full-stack expertise, a deep understanding of cloud-native architecture, and a passion for building systems that scale efficiently. Key Responsibilities Solution Design & Architecture Design end-to-end architecture for enterprise and cloud-based applications. Define scalable, secure, and cost-efficient solutions that align with business needs. Choose appropriate tech stacks, frameworks, and tools for performance and maintainability. Technical Leadership & Collaboration Partner with engineering, DevOps, and product teams to ensure successful solution implementation. Provide architectural guidance, code best practices, and mentorship to development teams. Conduct design reviews and ensure adherence to architectural standards and coding guidelines. Cloud & Infrastructure Architect cloud-native solutions on AWS, Azure, or GCP. Define and implement CI/CD pipelines and Infrastructure as Code (IaC). Design systems with high availability, fault tolerance, and disaster recovery in mind. Security & Compliance Implement security best practices across applications, APIs, and infrastructure. Collaborate with InfoSec to ensure compliance with standards like SOC 2, ISO 27001, and GDPR. Stakeholder Management Work closely with business, engineering, and product stakeholders to gather requirements and define technical roadmaps. Communicate complex technical concepts clearly to both technical and non-technical audiences. Present architectural solutions and trade-offs to executives and clients. Technical Skills & Experience Must-Have Skills 5+ years of experience in software architecture and solution design. Deep expertise in cloud platforms (AWS, Azure, or GCP) and microservices architecture. Hands-on experience with: Frontend: JavaScript, React.js, React Native Backend: Node.js, Python Experience with AI/ML frameworks and building data pipelines. Strong knowledge of RESTful APIs, GraphQL, and event-driven systems. Proficiency in databases: SQL, NoSQL, PostgreSQL, MongoDB. DevOps familiarity: Kubernetes, Docker, CI/CD pipelines. Understanding of security protocols and standards: OAuth, JWT, encryption best practices. Nice to Have Experience working in fast-paced product environments or startup ecosystems. Background in performance tuning and system observability. Growth Be part of a rapidly growing company breaking into new products and global markets. Leadership grooming and growth opportunities into senior strategic roles. Flex University: Upskill with internal learning programs. Learning Wallet: Reimbursement for external courses and certifications. Culture Collaborative, people-first culture. Weekly team activities, quarterly offsites, and annual celebrations. Wellness Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to mental health professionals to support your productivity and work-life balance. Work Environment We work from our Mumbai office, 5 days a week, to build together, learn faster, and collaborate more effectively. If you re ready to make an impact and architect the future of retail tech we d love to meet you.

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.

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.

Job Title: Senior Software Engineer (Data Engineer) Location: Mumbai Company: DGS India About the Role We are looking for a curious and self-driven Senior Software Engineer to join our technology team. In this role, you will maintain, improve, and manipulate large-scale operational and analytics databases critical to our business. You will collaborate closely with software engineers, data analysts, data scientists, and data warehouse engineers to implement database solutions that support global client objectives. Experience Required Minimum 3 years and up to 7 years of relevant experience. Key Responsibilities Work independently as an individual contributor, understanding design tasks and writing high-quality code. Build, maintain, and optimize multi-terabyte marketing databases integrated with cloud platforms. Analyze database performance and troubleshoot issues efficiently. Collaborate with cross-functional teams internally and externally to meet business goals. Must-Have Skills Experience with cloud platforms such as AWS, Azure, or GCP. Strong proficiency in SQL. Hands-on experience with ETL tools. Programming skills in Python or UNIX shell scripting. Familiarity with workflow orchestration tools like Tivoli, Tidal, or Stonebranch. Solid understanding of data modeling, data structures, and database technologies. Knowledge of both relational and non-relational databases, and when to apply each. Practical understanding of data warehousing concepts, data marts, ingestion, and transformation. Good communication skills for effective collaboration. Good-to-Have Skills Experience working with Data Warehouses (DWH). Strong debugging and troubleshooting skills. Familiarity with SVN, JIRA, and Agile methodologies. Experience in client-facing roles with excellent communication abilities. Ability to work collaboratively across cross-functional teams. Educational Qualifications Bachelor s degree in Engineering or a related field. Certifications (Preferred) Basic level certification in AWS, Azure, or GCP. Snowflake Associate/Core certification. Shift Timings 12:00 PM to 9:00 PM IST and/or 2:00 PM to 11:00 PM IST. Qualification : Bachelors degree in Engineering or a related field.

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.

Job Title: AWS Cloud DevOps Lead Location: Mumbai, India Experience: 8-12 years Education: Bachelor s Degree + AWS Certification (preferred) Job Summary We are looking for a dynamic AWS Cloud DevOps Lead to lead our team of 10-15 DevOps and Cloud engineers based in Noida. You will play a key role in driving DevOps adoption, managing cloud infrastructure, and ensuring robust automation and operational excellence across our AWS environments. Key Responsibilities Lead, mentor, and manage a team of DevOps and Cloud engineers. Drive the design, implementation, and deployment of cloud-based enterprise solutions. Understand and work with diverse application architectures (Monolithic, SOA, Microservices, Event-driven). Develop application architectures and create Scope of Work (SoW) documents for technical deployments. Manage technology infrastructure engineering, operations, and management of on-prem and cloud-based production systems, ensuring high availability, scalability, and performance. Innovate and create new automation, tooling, and security processes to enhance product/service reliability and efficiency. Collaborate closely with cloud administrators, developers, and cross-functional teams. Oversee budgeting and resource allocation for technology infrastructure and cloud computing. Lead customer interactions for technical requirement gathering and use case mapping with AWS services. Implement automation in the SDLC to reduce time to market and minimize errors. Administer and troubleshoot automation tools and processes, taking corrective actions proactively. Basic Qualifications & Experience 5+ years of cloud experience, with a strong focus on designing, maintaining, and administering large production environments. 7+ years hands-on Linux administration experience (Ubuntu preferred). 5+ years experience with cloud platforms (AWS preferred, GCP/Azure exposure a plus). Strong experience with Infrastructure as Code (IaC) and configuration management tools such as Terraform and Ansible (5+ years). Hands-on experience with AWS CloudFormation, CodePipeline, CodeDeploy, and AWS Console/CLI. Proficient with scripting languages: Python (with AWS Boto), Bash, PowerShell. Experience with CI/CD tools including GitLab CI, Jenkins, CircleCI (5+ years). Kubernetes experience (EKS preferred) with 3+ years managing container orchestration. Experience with MongoDB (self-hosted and Atlas) for 3+ years. Knowledge of infrastructure automation tools such as Chef, Puppet, or Ansible (minimum 2). Strong understanding of IT infrastructure including hypervisors, SDN, serverless, and containerized environments. Experience in customer-facing roles for technical requirement gathering and solution design. Proven team leadership and people management skills. AWS certification(s) highly preferred. Technical Skills Cloud Platforms: AWS (primary), GCP, Azure Container Orchestration: Kubernetes (EKS) Infrastructure Automation: Terraform, Ansible, CloudFormation, Chef, Puppet CI/CD: GitLab CI, Jenkins, CircleCI Scripting: Python (Boto), Bash, PowerShell OS Administration: Linux (Ubuntu), Windows Databases: MongoDB (self-hosted and Atlas) Join us to lead the transformation of cloud infrastructure and DevOps practices at scale!

Principal Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring a Principal Engineer to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Principal Engineers and Lead Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across Blenheim Chalcot portfolio businesses. These are great opportunities for someone who thrives in hands-on build mode, demonstrates high-impact leadership, and who can scale delivery without losing speed, quality, or ownership. As a key member of our Software Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable products. You will work in close collaboration with customers and cross functional teams in Mumbai and London, to deliver product-led delivery and solutions that really make a difference. Behaviours that we look for Rigorous problem-solving and systems thinking. Decomposes complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Key responsibilities Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate Professional experience in engineering or full-stack software engineering. Proven experience in managing and developing junior engineers. Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments. Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. Excellent communication, leadership, and collaboration skills. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

Senior Software Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we d love to hear from you. Behaviours that we look for Solve problems rigorously, not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early, automating meaningful tests and implementing relevant metrics/logging. Design systems for operations, not just development - considering CI/CD, resilience, cost, and scalability from day one. Use data to guide decisions, validating design impact, performance, and real user outcomes. Key responsibilities Working within our Engineering Centre of Excellence in Mumbai, you can expect to: Build and maintain scalable services, data pipelines, and backend systems. Write readable, efficient code and collaborate closely in code reviews. Automate robust test coverage (unit, integration, and/or contract tests). Implement data models used by analysts and ML teams; ensure schema evolution and data integrity are maintained. Participate in system design sessions and contribute to architectural discussions. Debug production issues across multiple services and layers of the stack. Contribute to CI/CD pipelines and infrastructure-aware development practices. Opportunity This is an excellent opportunity for experienced engineers looking to step up their scope and impact. You ll join a collaborative team with exposure to modern engineering practices, GenAI-enabled systems, and business-critical data products. You'll be part of a global network, shaping real customer outcomes. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate We are looking for candidates who bring: Strong proficiency in at least one modern programming language (e.g., Python, Java). Experience with both SQL and NoSQL databases; schema design and query optimisation. Comfort with cloud platforms such as AWS or Azure (e.g., S3, Redshift, Glue, Synapse). Familiarity with CI/CD practices, automated testing, and observability. Knowledge of data structures, algorithms, and their real-world trade-offs. A proactive mindset: ready to take ownership, iterate fast, and learn continuously. Great communication and teamwork skills particularly in cross-functional settings. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

DevOps Engineering Analyst Location: Mumbai, India Overview of Technology Roles At BlackRock, technology has always been at the heart of everything we do. Our technologists shape the future of the industry through innovative work. We foster a curious and collaborative environment, embracing experimentation to solve complex challenges. Here, you ll experience cross-team, cross-business, cross-region collaboration with a firm committed to your growth through curated learning, tech career paths, and access to global experts and leaders. Job Description About this Role: The Quotative Analytics Engineering (QAE) team is responsible for developing and maintaining financial models that underpin BlackRock s risk management analytics. The team also supports the infrastructure and software that deliver analytic content to portfolio and risk management professionals internally and externally. QAE s work spans various financial products from equities and fixed income to derivatives and covers risk analysis from individual instruments to entire portfolios and enterprises. Key Responsibilities Manage and automate the monthly release process for the Analytics Engine. Refactor and rewrite existing release scripts and develop new scripts to streamline automation. Convert critical Perl scripts to Python, collaborating with distributed teams across different time zones. Skills & Qualifications 1-2 years of professional experience writing robust, object-oriented Python code. Exposure to CMake and CI/CD pipelines is desirable. Knowledge of DevOps practices and tools, particularly Azure DevOps, is a plus. Familiarity with a programming language like C++ (preferred), as programming is central to daily operations. Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences clearly and simply. #EarlyCareers Our Benefits We offer a wide range of benefits designed to keep you energized and supported, including a strong retirement plan, tuition reimbursement, comprehensive healthcare, working parents support, and Flexible Time Off (FTO) so you can recharge and be present for what matters most. Our Hybrid Work Model BlackRock s hybrid model promotes collaboration and apprenticeship while supporting flexibility. Employees generally work at least 4 days a week onsite, with the option to work from home 1 day a week. Some teams may require additional office presence due to specific role needs. This approach boosts impactful in-person moments and accelerates learning and onboarding for new hires. About BlackRock At BlackRock, our mission is to help more people achieve financial well-being. Our clients save for retirement, education, homes, and businesses. Their investments also fuel economic growth, support small and large businesses, finance infrastructure projects, and drive innovation. This mission depends on our greatest investment our employees. We strive to create a welcoming, valued, and supportive environment through networks, benefits, and development opportunities that help our people thrive.

Tech Pre-Sales Manager Location: Mumbai Job Description: Solution Development: Develop solutions and organize, plan, create, and deliver compelling proof of concept demonstrations. Client Requirement Gathering: Communicate effectively with clients to understand their requirements and needs. Solution Control: Oversee the entire solution development process, ensuring it meets client specifications and requirements. Proposal Creation: Provide technology solutions to clients and document the solution in a clear, well-structured proposal. Effort Estimation: Estimate the effort required for development and plan accordingly. Candidate Profile: Cloud Platforms Knowledge: Experience working with various cloud platforms. Pre-sales Call Participation: Actively participate in pre-sales calls to understand client needs and propose solutions. Coding Experience: Must have a background in coding to assess and design technical solutions effectively. Tech Expertise: Deep technical expertise across various technologies. Technology Agnostic: Ability to work across different technology stacks without preference. Strong Communication Skills: Ability to clearly articulate technical concepts to both technical and non-technical stakeholders. Software Architecture: Proficient with software architecture and design principles. If you are ready to take on the challenge of leading tech pre-sales efforts in Mumbai, apply today for the Tech Pre-Sales Manager role!

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

Snowflake Developer Location: Mumbai Experience: 6+ years Key Responsibilities: Design & Development: Design and develop data models, schemas, and pipelines in Snowflake. ETL/ELT Implementation: Implement ETL/ELT processes using Snowflake Snowpipe, Streams, and Tasks. Performance Optimization: Optimize query performance, indexing, clustering, and partitioning for large datasets. Stored Procedures & UDFs: Develop stored procedures, UDFs, and views to support business logic. Security & Governance: Manage Snowflake security, role-based access control (RBAC), and data governance. Integration: Integrate Snowflake with various data sources using Python, AWS/Azure/GCP, or ETL tools like Informatica, dbt, Talend, etc. Best Practices: Implement best practices for data warehousing, data lake, and real-time analytics. Collaboration: Work closely with Data Engineers, BI teams, and Analysts to support reporting and analytics. Requirements: Experience: 6+ years of experience working with Snowflake and cloud data platforms. SQL Expertise: Strong expertise in SQL, performance tuning, and optimization. ETL/ELT Tools: Experience with ETL/ELT tools such as dbt, Matillion, Talend, or Informatica. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, Data Factory, or Cloud Functions. Data Modeling: Knowledge of data modeling concepts (Star Schema, Snowflake Schema, Fact & Dimension Tables). Scripting: Experience with Python/Shell scripting for automation and data transformations. CI/CD: Understanding of CI/CD for Snowflake development using Git, Terraform, or dbt. Security & Compliance: Strong knowledge of Snowflake security, access controls, and compliance standards. Communication: Excellent communication skills to effectively collaborate with cross-functional teams. If you're a skilled Snowflake Developer looking to work in a dynamic environment and bring innovative solutions to the table, apply now for the position in Mumbai!

Job Title: Senior Software Engineer (Node.js) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 5 years Openings: 1 What You Will Do: Participate actively in designing and developing scalable, adaptable architectures to support multiple clients with varied needs. Interpret business requirements from clients or business analysts and translate them into functional applications and database schemas. Develop and maintain server-side applications using Node.js, Express.js/Nest.js, and TypeScript. Build robust and efficient REST APIs for various applications. Perform data modeling and manage SQL/NoSQL databases like MySQL, PostgreSQL, and MongoDB. Implement microservices architecture and ensure seamless communication between services. Integrate external services such as payment gateways and social media platforms. Deploy applications using cloud platforms such as AWS or Azure, with experience in tools like Nginx for load balancing. Follow Agile development practices (Scrum) for effective project planning and execution. Stay current with emerging technologies and best practices, incorporating them into the development process. Ensure high-quality code and application performance using version control tools like Git. Qualifications: Experience: 3-5 years of relevant experience in software development with Node.js, Express.js/Nest.js, and MySQL/PostgreSQL/MongoDB. Technical Skills: Strong proficiency in JavaScript and TypeScript. Deep understanding of Node.js with Express.js or Nest.js. Experience in building REST APIs and working with SQL/NoSQL databases. Hands-on experience with ORM tools like TypeORM or Sequelize. Familiarity with cloud services (AWS, Azure) for deployment, data storage, and notifications. Experience with microservices architecture and its implementation. Familiarity with Nginx for deployment and cloud platforms like AWS or Azure. Knowledge of SDLC and Agile development (Scrum methodology). Understanding of asynchronous programming and code versioning with Git. Qualification : Any Graduate / Post Graduate

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.

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: Full Stack Java Developer Location: Mumbai Experience: 7+ years Company: MSCI About MSCI: At MSCI, we power better investment decisions by delivering critical decision-support tools and services to the global investment community. With over 50 years of expertise in research, data, and technology, MSCI helps clients understand risk, improve transparency, and build more effective portfolios. Our innovative, high-performance culture encourages experimentation, accountability, and continuous learning. We actively foster inclusion, belonging, and connection through diverse Employee Resource Groups and flexible working arrangements, empowering every employee to thrive. Your Role: We are looking for a highly skilled Full Stack Java Developer to join our Corporate Events and Dividends data management team in Mumbai. You will play a pivotal role in designing, building, and maintaining cutting-edge data solutions that support critical financial processes. This is an exciting opportunity to collaborate with global IT and business teams, applying your technical expertise to solve complex problems, optimize performance, and contribute directly to MSCI s innovative products. Key Responsibilities: Design and develop robust, scalable, and high-performance solutions for data management systems. Collaborate closely with global IT and business teams to understand requirements and translate them into technical solutions. Write and optimize complex SQL queries for high-volume data processing in Oracle or other relational databases. Lead and contribute to technical discussions with senior engineers, architects, and business stakeholders. Build responsive and intuitive web interfaces using TypeScript and frameworks like React, Angular, or Vue. Implement and manage concurrent, multi-threaded systems while addressing potential challenges in such environments. Ensure adherence to best practices in object-oriented design, memory management, performance tuning, and system architecture. Develop RESTful APIs to facilitate seamless data exchange across platforms. Drive code quality and performance optimization through effective reviews and hands-on problem-solving. Take full ownership of deliverables, working both independently and collaboratively in a diverse, global team. Skills & Experience Required: Minimum 7 years of hands-on experience in Java development, with a focus on object-oriented design and multi-threaded applications. Strong expertise in Spring framework, JMS, and core Java technologies. Solid experience working with relational databases (preferably Oracle) ability to write complex SQL queries and perform SQL performance tuning. In-depth understanding of Java internals, including data structures, memory management, garbage collection, and concurrent programming. Experience building responsive user interfaces using TypeScript and frameworks like React, Angular, or Vue. Experience working in a UNIX environment is highly desirable. Familiarity with cloud technologies (Azure/AWS) is a strong plus. Experience with REST API development. Strong analytical mindset with exceptional problem-solving skills. Ability to communicate effectively and work seamlessly in a collaborative, global team environment. Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (First class preferred). Alternatively, a Master s degree (MCA/M.Tech) is also acceptable. What We Offer: Transparent and competitive compensation. Comprehensive benefits tailored to your location. Flexible work arrangements and cutting-edge technology. Global Orientation Program and continuous learning opportunities through Learning@MSCI and LinkedIn Learning Pro. Clear, multi-directional career paths that foster professional growth. A culture of high performance, innovation, and inclusion supported by Employee Resource Groups such as Women in Tech, Pride & Allies, All Abilities, and more. Join us at MSCI and become part of a global team that drives innovation and creates industry-leading solutions. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (First class preferred).