Continuous Deployment CD Jobs in Mumbai

Engineering Manager Experience: 10+ Years Location: Mumbai Type: Full-Time About Fynd Fynd is India s largest omnichannel retail platform and a multi-platform technology company at the forefront of AI, ML, big data, and retail innovation. Serving over 2,300 brands, we offer a unified system that empowers businesses to streamline online and offline sales, manage inventory, enhance store operations, and elevate customer engagement. Role Overview We re looking for a dynamic Engineering Manager who can lead by example writing scalable, performant code while mentoring high-performing teams. Beyond traditional engineering leadership, we value individuals who embrace AI as a development accelerator, using tools like GitHub Copilot, Cursor, and ChatGPT to enhance productivity across coding, testing, and documentation. As an Engineering Manager at Fynd, you ll take ownership of end-to-end architecture, build web applications, and manage teams across backend and frontend technologies. You ll also play a key role in shaping our cloud-native infrastructure on AWS. Key Responsibilities Lead, mentor, and grow a team of backend and frontend engineers, encouraging innovation and ownership. Architect, design, and deliver scalable backend systems using Node.js and Python. Build responsive and secure frontend applications with React.js, ensuring seamless integration with backend services. Leverage AI tools (e.g., GitHub Copilot, GPT-4, Cursor) to accelerate development cycles scaffolding, testing, debugging, and documenting code. Manage cloud infrastructure on AWS including Lambda, EC2, S3, RDS, API Gateway, etc. Design and optimize databases with MongoDB and PostgreSQL, ensuring performance and reliability. Define and implement engineering best practices across CI/CD, code reviews, testing, security, and deployment. Collaborate cross-functionally with product managers, designers, and DevOps to ship impactful features. Proactively monitor system performance, troubleshoot production issues, and ensure high system availability. Stay on top of emerging technologies and trends to drive continuous improvement within the team and the organization. Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of hands-on software development experience, including 3+ years in engineering leadership. Expertise in Node.js, Python, and React.js. Strong experience in MongoDB, PostgreSQL, and scalable data modeling. Proven track record in cloud-native architecture and microservices, with hands-on AWS experience. Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving skills and ability to make sound technical decisions. Strong communication, mentorship, and team-building skills. Experience in leading engineering teams in high-growth, fast-paced environments. Growth: We re growing fast across products, markets, and technologies. As a part of Fynd, you ll have opportunities to lead new initiatives, expand into leadership roles, and be part of a company that invests in your growth. Flex University & Learning Wallet: Access in-house courses to upskill or pursue external certifications with full reimbursement your learning is our priority. Culture: Team bonding, events, and celebrations are part of our rhythm weekly, quarterly, and annual. Wellness: Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to licensed therapists to support mental health and work-life balance. Work Culture We work from our Mumbai office 5 days a week to foster collaboration and team synergy. If you re excited to build, lead, and innovate at the intersection of tech and AI we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Engineer Information Technology (AIOps & Automation Engineer) Location: Mumbai Experience: 1 3 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of reimagining global connectivity through cutting-edge innovation. Our services power Cloud, IoT, AI, Collaboration, Security, and Network Solutions that redefine the digital experiences of businesses across industries. With a global footprint and a focus on driving intelligent transformation, we are building the New World of Communications. Job Profile: AIOps & Automation Engineer As an AIOps & Automation Engineer, you will play a critical role in transforming IT operations through automation, infrastructure scripting, and deployment of AI/ML-powered solutions. This is an individual contributor position with scope to lead small-scale operational projects and optimize system performance across platforms. Key Responsibilities Design, build, and manage infrastructure automation using Python, PowerShell, Bash, and Ansible. Deploy and maintain AIOps tools and platforms for proactive incident management and operational efficiency. Develop and manage CI/CD pipelines, supporting continuous integration and deployment. Implement and manage monitoring systems, such as Zabbix and other NMS tools. Maintain detailed infrastructure documentation including LLD/HLD. Assist in the design, security, and handover of infrastructure to operations teams. Independently resolve complex IT issues and contribute to operational improvements. Stay current with advancements in AI/ML, automation, and orchestration technologies. Technical Skill Requirements Proficiency in Python, PowerShell, and Bash scripting. Experience with Ansible, AWX, or similar automation tools. Familiarity with Zabbix or other network monitoring systems. Understanding of AI/ML concepts and practical exposure to related tools. Working knowledge of AIOps platforms and deployment practices. Hands-on with Linux, Windows Server, and basic Kubernetes. Experience in designing, documenting, and implementing IT infrastructure. Familiarity with CI/CD tools and pipeline methodologies. Certifications in relevant technologies are an added advantage. Qualifications B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field. 1 3 years of experience in IT Operations, with exposure to automation and AIOps. Strong analytical and problem-solving skills. Excellent documentation and communication abilities. What You ll Bring Passion for automation and digital transformation in IT infrastructure. Ability to independently manage tasks, take initiative, and troubleshoot complex issues. Flexibility to adapt and contribute in a fast-paced, evolving technical environment. A collaborative mindset with a focus on delivering reliable, scalable solutions. Be part of a future-forward tech ecosystem in one of India s most respected technology organizations. Work on next-generation automation and AIOps platforms shaping global IT operations. Collaborate with industry leaders and expand your skills in a learning-driven environment. Qualification : B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Position: Domain Expert - Systems (DevSecOps) Location: Mumbai Area of Work: Systems Job Purpose The DevSecOps Domain Expert will be responsible for ensuring the security, efficiency, and reliability of DevSecOps processes across the development lifecycle. You will play a pivotal role in integrating security into the CI/CD pipeline and promoting the adoption of best practices throughout the software development and change management processes. Expertise in Process Automation is a plus, aimed at boosting productivity, consistency, and speed within DevSecOps operations. Key Responsibilities DevSecOps Implement, manage, and optimize security automation practices within DevOps pipelines to ensure secure software development and deployment. Collaborate with Development and Security teams to integrate security seamlessly into the DevOps workflow. Application Security Identify, assess, and mitigate vulnerabilities within applications, ensuring adherence to security policies, standards, and best practices. Conduct threat modeling, vulnerability assessments, and risk analysis for DevSecOps processes to identify potential security gaps and recommend appropriate solutions. Provide security guidance to development teams, promoting secure coding practices and reviewing security standards. Collaboration & Training Embed security best practices across the SDLC (Software Development Life Cycle), ensuring that security is considered at every stage of development. Mentor and train developers on secure coding principles, helping them implement industry-standard security practices within their code. Automation & Tooling Design, build, and maintain automated pipelines that integrate security tools, such as SAST (Static Application Security Testing), DAST (Dynamic Application Security Testing), and vulnerability management tools. Ensure that security tools are continuously updated and effectively incorporated into the CI/CD pipeline. Monitoring & Governance Establish and maintain comprehensive monitoring systems for DevSecOps onboarding, deployment, and runtime application security. Collaborate with cross-functional teams to manage incidents, respond to security alerts, and conduct investigations related to application security. Document and update policies and procedures for secure development and deployment practices. Continuous Improvement Stay abreast of industry trends and emerging technologies in DevSecOps and application security. Identify areas for improvement in security processes, aiming to enhance efficiency, scalability, and overall security posture. Qualifications & Experience Education Essential: BE (Computer Science/IT), MCA, or a Master s Degree in Computer Science/IT. Experience Overall Experience: 8+ years in the technology field, with at least 3 years of experience specifically in DevSecOps and Application Security. Technical Skills: Proficiency with CI/CD tools like Jenkins, GitLab, etc. Experience with security tools like F5, Fortify, SonarQube, etc. In-depth understanding of secure coding practices and application security testing methodologies. Qualification : BE (Computer Science/IT), MCA, or a Masters Degree in Computer Science/IT

Position: Software Test Engineer Location: Mumbai, India About LRN: At LRN, we help over 2,500 organizations including some of the world s most recognized brands navigate complex regulatory environments and build ethical, responsible, and inclusive workplace cultures. As a leading SaaS-based eLearning provider with a global presence across the US, EMEA, APAC, and Latin America, we empower companies to turn their values into measurable business practices that drive performance. About the Role: We re looking for a skilled and motivated Software Test Engineer to join our team. In this role, you will be responsible for designing, executing, and maintaining test plans for custom-developed applications, with a strong focus on automation testing. You will work independently and collaboratively in an Agile environment to ensure our software meets the highest quality standards. Key Responsibilities: Design and execute functional, system, integration, regression, and performance tests Develop and maintain automated test scripts using Selenium (mandatory), Protractor, and Postman Participate in planning, requirement analysis, and test strategy discussions with cross-functional teams Prepare test estimates, schedules, and documentation (test cases, test plans, QA checklists) Collaborate closely with developers and project managers to ensure alignment and quality goals Identify, log, track, and validate defects; perform root cause analysis Own end-to-end quality for assigned applications, proactively resolving testing issues Promote continuous improvement by identifying gaps and implementing automation where possible Provide timely updates and escalations on project status, risks, and blockers Requirements: Bachelor s degree with 4 5 years of software testing experience Minimum 2+ years in automation testing Strong knowledge of SDLC, STLC, and Agile methodologies Hands-on experience with Selenium (mandatory); familiarity with Protractor and Postman Working knowledge of at least one programming language (e.g., Java, Python, or Perl) Experience with SQL and relational databases Excellent written and verbal communication skills Ability to work independently in high-pressure, fast-paced environments Experience in LMS/eLearning domains is a plus Preferred Skills: Deep understanding of web applications and data flow Strong test planning and estimation skills Working knowledge of HTML5 Experience creating reusable automation frameworks Why Join LRN: Be part of a mission-driven company with global impact Collaborate with talented teams building ethical cultures worldwide Grow your career in a fast-paced, values-led SaaS environment LRN is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all employees. Qualification : Bachelors degree with 45 years of software testing experience

Position: Full Stack Developer Location: Mumbai, India About LRN: LRN provides ethics and compliance e-learning solutions to over 2,500 companies across US, EMEA, APAC, and LatAm, helping them navigate complex regulatory environments and build ethical, responsible, and inclusive cultures. Partnering with LRN, organizations translate their values into concrete actions, training, and leadership behaviors that create sustainable competitive advantages. Your Responsibilities: Build and maintain web applications using the Single Page Application (SPA) paradigm Develop secure, performant software solutions in a web and Service-Oriented Architecture (SOA) environment Write clean, well-structured, and maintainable code following best practices Participate in full Software Development Life Cycle (SDLC) from requirements to solution design, development, and QA Provide accurate estimates and timelines for assigned tasks Follow coding standards and develop unit tests, integration tests, and deployment scripts Assist in defining software architectures and collaborate with leads to identify risks and complexities Communicate regularly with project teams on development progress Own the success of your deliverables and take responsibility for on-time delivery Suggest improvements to UI, software architecture, and new technologies for continual enhancement Requirements: Minimum 6 years of experience with JavaScript, Angular 2+ and Node.js Experience working in distributed Agile teams with continuous integration Proficient in Test Driven Development (TDD) techniques Strong hands-on experience building APIs Solid understanding of web technologies, frameworks, and industry trends Experience with databases such as MongoDB and PostgreSQL Familiarity with Git version control system Good understanding of Object-Oriented Programming (OOP) principles AWS knowledge is a plus Benefits: LRN is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior Software Engineer Market Access 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. Driven by a scientific approach to investing, QRT integrates data, research, technology, and trading expertise to solve complex challenges and deliver high-quality returns. Our culture fosters innovation, collaboration, and continuous improvement. Your Future Role within QRT As a Senior Software Engineer on the Market Access team, you will design and develop high-performance, low-latency C++ applications critical to powering our trading capabilities. You will collaborate closely with traders, FPGA engineers, DevOps, and other technical teams to build robust systems that meet stringent performance requirements. Additionally, you will take a leadership role by mentoring peers and contributing to software engineering best practices across the team. Key Responsibilities Develop and maintain high-performance, low-latency C++ applications for trading systems on Linux. Collaborate cross-functionally with traders, FPGA engineers, DevOps, system administrators, and network engineers to deliver seamless, optimized solutions. Write clean, efficient, and maintainable code; conduct code reviews and perform debugging and performance tuning. Lead system design discussions to ensure alignment with business needs and technical feasibility. Mentor junior engineers and guide the team on software development best practices. Drive continuous improvement initiatives within the software development lifecycle and deployment processes. Your Present Skillset Extensive experience in C++ development (C++11/14/17/20) with a focus on multithreaded, high-performance applications on Linux. Proven track record designing system-level architecture for trading or other latency-sensitive, performance-critical environments. Strong expertise in low-latency programming techniques, system profiling, debugging, and performance tuning. Prior experience as a technical lead or people manager, with examples of leading and mentoring engineering teams. Familiarity with advanced debugging tools and performance analysis methodologies. Understanding of financial products, markets, and trading systems is preferred but not mandatory. We are an equal opportunity employer committed to diversity and inclusion. A collaborative, respectful environment empowering employees to succeed collectively. Initiatives to support professional growth and a healthy work-life balance.

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.

Position: Technology Lead Location: Mumbai Employment Type: Full-Time, Permanent Job Overview: We are seeking a highly skilled and experienced Technology Lead to join our team. The ideal candidate will have strong expertise in ASP.NET, MVC, MSSQL Server, and C#, with experience in architecting, designing, and deploying scalable systems. As a Technology Lead, you will guide and manage a team of developers while ensuring the successful execution of medium to large-scale projects. Key Responsibilities: Lead the design, architecture, and deployment of medium to large-scale systems using ASP.NET, MVC, MSSQL Server, C#, JavaScript, JQuery. Manage a team of 5-10 developers, ensuring the smooth execution of projects, from initial design to deployment. Architect and design scalable, efficient, and high-performing systems that can handle increasing workloads. Identify and handle application bottlenecks, providing optimization solutions to improve system performance. Mentor and provide guidance to team members, ensuring continuous development and adherence to best practices. Collaborate with stakeholders to understand project requirements and deliver technical solutions that meet business needs. Required Skills & Experience: Strong proficiency in ASP.NET, MVC, MSSQL Server (2008/12), C#, JavaScript, and JQuery. Proven experience in architecting and designing medium to large scalable systems. Previous experience leading and managing a team of 5-10 developers on medium to large-sized projects. In-depth knowledge of handling application bottlenecks and optimizing code for performance. Strong problem-solving skills and ability to think strategically.

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

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.

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.

Overview of Technology Roles At BlackRock, technology has always been at the core of what we do. Our technologists are continually shaping the future of the industry through innovative work. We are not only curious but also collaborative, eager to embrace experimentation to solve complex challenges. We foster an environment that promotes working across teams, businesses, regions, and specialties. BlackRock is committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders globally. Job Description About This Role: BlackRock Company Overview: BlackRock is a global leader in investment management, risk management, and advisory services for both institutional and retail clients. Our wide range of products including separate accounts, mutual funds, iShares (exchange-traded funds), and other pooled investment vehicles helps clients achieve their goals and overcome challenges. We also provide risk management, advisory, and enterprise investment system services to institutional investors through BlackRock Solutions . Headquartered in New York City, BlackRock manages approximately $11.5 trillion in assets (as of February 5, 2025) and has around 19,000 employees across 38 countries. Aladdin Data: When BlackRock was founded in 1988, the goal was to combine financial services with cutting-edge technology. Today, BlackRock is a leading FinTech platform for investment management globally. Data is central to our Aladdin platform, which sets us apart through our ability to consume, store, analyze, and extract insights from it. The Aladdin Data team maintains a pioneering data platform that provides high-quality data to a wide range of users including investors, operations staff, data scientists, and engineers. Our goal is to consistently deliver high-quality data while evolving our platform to support BlackRock's growth. We build high-performance data pipelines, enable data discovery and consumption, and continually enhance our data storage capabilities. Studio Self-Service Front-End Engineering: The Studio Self-Service Front-End Engineering team develops full-stack web applications for vendor data self-service, client data configuration, pipelines, and workflows. Our work supports over a thousand internal users and hundreds of clients. We manage a suite of tools, including client-facing data requests, modeling, configuration management, ETL tools, CRUD applications, customized workflows, and backend APIs. Our focus is to deliver exceptional client and user experiences through intuitive tools and an excellent user experience (UX). Job Responsibilities: Design, Build, and Maintain Applications: Develop both front-end and back-end platform components in collaboration with Product and Program Managers. Implement New Functionalities: Build new user interfaces and business functionalities to meet evolving business and customer needs, with clear documentation. Improve Application Performance: Analyze and optimize the performance of applications and workflows to improve efficiency and throughput. Diagnose and Resolve Issues: Research and resolve software defects, ensuring smooth application operations. Ensure Software Stability: Conduct documentation, code reviews, regression, unit, and user acceptance testing for smooth production operations. Lead Application Support: Lead all aspects of level 2 & 3 application support, ensuring smooth operations and addressing new business opportunities. Independent Work: Take initiative and work with minimal direction in a globally distributed team. Role Essentials: Passion for Engineering: Demonstrate a passion for engineering highly available, performant full-stack applications with a "Student of Markets and Technology" attitude. Educational Background: Bachelor s or Master s degree (or equivalent experience) in Computer Science, Engineering, or a related field with 8+ years of relevant experience. Team Experience: 3+ years of professional experience working in teams. VP-level candidates should have experience leading teams delivering critical applications. Technical Skills: Proficiency in Angular, React, JavaScript for user-facing application development. Experience with Java-based REST APIs (e.g., Spring Framework). Familiarity with Protractor, TestCafe, Jest for testing. Knowledge in relational databases and at least one NoSQL database (e.g., Apache Cassandra, MongoDB). Familiarity with software development methodologies (analysis, design, development, testing) and Agile/Scrum practices. Our Benefits: To help you stay energized, engaged, and inspired, we offer a comprehensive range of benefits, including: A strong retirement plan to ensure your financial future. Tuition reimbursement for continuous learning and development. Comprehensive healthcare to keep you and your family covered. Flexible Time Off (FTO) to relax, recharge, and spend time with loved ones. Our Hybrid Work Model: BlackRock s hybrid work model promotes collaboration and apprenticeship, enriching the experience of employees while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the flexibility to work 1 day from home. Some business groups may require more office presence based on role requirements. This model fosters impactful moments when working together in person, which aligns with our commitment to performance and innovation. About BlackRock: At BlackRock, we are united by one mission: to help more people experience financial well-being. Our clients ranging from individuals saving for retirement to businesses and governments investing in infrastructure are benefiting from the investments they make through BlackRock. These investments strengthen the global economy by supporting businesses, financing cities, and facilitating innovation. We believe our success depends on the talent and diversity of our employees. That's why we are committed to creating an enviro...

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.

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.

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.

Automation Engineer (RPA) Experience: 3+ Years Location: Mumbai Employment: Full-Time About Fynd Fynd is India s leading omnichannel platform and a tech pioneer in retail technology, AI, ML, big data, and image editing. We empower over 2,300 brands by providing a unified platform that seamlessly connects online and offline sales, store operations, inventory management, and customer engagement transforming retail experiences across industries. Role Overview We are looking for a skilled Automation Engineer / Implementation Engineer with strong expertise in RPA (UiPath preferred) to design, develop, and deploy workflow automation solutions. The ideal candidate will also leverage AI/ML to optimize processes, working closely with business and IT teams to identify automation opportunities and deliver innovative, efficient solutions that drive operational excellence. Key Responsibilities Collaborate with stakeholders to analyze and document business processes. Identify automation opportunities and integrate AI/ML enhancements where applicable. Design, develop, and maintain RPA workflows using UiPath and similar platforms. Test, debug, and deploy automation and AI/ML solutions ensuring reliability. Integrate automated workflows with existing systems and analytics tools. Provide ongoing support and improvements based on feedback and performance monitoring. Stay updated on RPA, AI, and ML trends, recommending best practices for continuous improvement. Qualifications & Skills Bachelor s degree in Computer Science, IT, Engineering, or related fields. 3+ years of experience in automation engineering or process automation roles. Proficient with RPA tools such as UiPath, Automation Anywhere, etc. Strong programming skills in VB.NET, C#, Python, or similar languages. Familiarity with AI/ML concepts and experience integrating AI/ML into automation workflows. Excellent analytical, problem-solving, and communication skills. Understanding of software development lifecycle and agile methodologies. Experience in system integration is a plus. Preferred RPA certifications. Experience or certifications in AI/ML projects. Background in implementation or consulting roles handling end-to-end automation projects. Growth: Opportunities to learn, innovate, and lead as we expand into new markets and product lines. Flex University: Access to in-house courses and reimbursement for external upskilling programs. Culture: Regular community and team-building events, plus annual celebrations. Wellness: Comprehensive mediclaim covering family, plus access to mental health support for work-life balance. We work from our Mumbai office 5 days a week to foster collaboration and teamwork. Join us to make a real impact in a dynamic, innovative environment! Qualification : Bachelors degree in Computer Science, IT, Engineering, or related fields

Position: IQ Analytics Manager CD COE Location: Mumbai Experience Required: 5+ Years Function: Analytics / Business Intelligence / Decision Sciences About the Role As an IQ Analytics Manager, you will play a critical role in driving business growth by uncovering the key levers that influence commercial KPIs. You ll develop and scale data-driven models that influence strategic decision-making for senior leadership, combining technical depth with business acumen to deliver actionable insights. Your work will directly support projects that enhance performance, efficiency, and execution within the CD (Customer Development) Centre of Excellence. Key Responsibilities Analytics & Insight Development Conduct in-depth quantitative analyses to understand drivers behind key commercial KPIs. Translate data into actionable insights that impact decision-making across product and business teams. Build causal and predictive models to diagnose performance issues and suggest improvement strategies. Stakeholder Collaboration Partner with product managers, commercial leads, and functional stakeholders to embed analytics into decision-making. Communicate key business trends and insights to senior leadership using structured storytelling backed by data. Solution Integration Design scalable, production-ready analytical solutions integrated into business and product workflows. Continuously monitor performance of deployed models and evolve them based on real-time business changes. Qualifications & Experience Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute. (MBA from a top-tier institute is a plus.) Minimum 5 years of relevant experience in analytics, business intelligence, or data science roles. Core Competencies Strong business acumen with the ability to translate data into strategy. Proactive and self-motivated with a strong sense of ownership and accountability. Comfortable navigating ambiguity and driving clarity through data. Excellent communication, presentation, and storytelling skills. Ability to adapt and respond to dynamic business environments and shifting priorities. Technical Skills Required Strong command of SQL, Python, and Excel Proven expertise in statistical modelling, AI, and machine learning (including supervised & unsupervised methods) Experience in building and deploying machine learning models at scale Proficiency in data visualization tools such as Power BI, Tableau, QlikView, or Google Data Studio Work at the intersection of analytics, technology, and business strategy High-impact role with direct visibility to senior leadership Be part of a dynamic team that values innovation, ownership, and continuous learning Opportunity to solve real-world business problems at scale Qualification : Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, or a related discipline from a reputed institute