Google Cloud Jobs in Mumbai

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: Junior Solution Architect Location: Mumbai We are looking for a dynamic and driven Junior Solution Architect to join our team. In this role, you will work closely with customers to understand their requirements, design comprehensive solution architectures, and deliver impactful presentations and demos. You ll be responsible for analyzing RFPs, creating detailed project plans, providing estimates, and preparing proposals. A strong hands-on background in SAP s latest technologies is essential, along with the ability to articulate and sell the proposed solution to clients. Key Responsibilities: Collaborate with clients to understand their business requirements and translate them into solution architecture. Lead client presentations, product demos, and solution discussions. Analyze and respond to RFPs, preparing clear, concise project plans and proposals. Provide estimates for project timelines, resources, and costs. Design and implement solutions leveraging the latest SAP technologies. Effectively communicate and convince clients of the value of the proposed solutions. Gain and maintain an excellent understanding of the client's industry, especially the infrastructure and power sectors. Qualifications: Education: CA/ICWA/MCom/MBA-Fin. Strong functional knowledge and domain understanding. Prior experience in the infrastructure or power sector is highly preferred. Exceptional presentation and communication skills. Job Category: Support Function Qualification : CA/ICWA/MCom/MBA-Fin.

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 Overview: Account Executive at Google Company Overview: Google is a global leader in advertising solutions, offering cutting-edge products that help businesses of all sizes grow. The Google Customer Solutions (GCS) team is responsible for helping small and medium-sized businesses (SMBs) optimize their advertising strategies and drive long-term success. As an Account Executive, you ll play a pivotal role in shaping the business growth of Google s clients by offering personalized, data-driven solutions and building strong, trusted relationships. Responsibilities: Client Relationship Management Develop and maintain relationships with C-level executives of your assigned portfolio of clients, understanding their business needs and goals. Be a trusted consultant, offering strategic advice and actionable insights to help clients optimize their advertising investments. Strategic Advertising Solutions Anticipate how decisions are made at the executive level, uncover the business needs of customers, and design tailored strategies to help them achieve their advertising goals. Understand and leverage Google s full range of product offerings (including search, display, video, and mobile advertising) to create impactful advertising strategies that reach a wide audience. Business Growth & Planning Manage a portfolio of clients alongside account managers to consistently meet and exceed business objectives. Establish and execute multi-quarter plans for sustainable business growth. Regularly assess business drivers, identify opportunities for expansion, manage risks, and optimize the customer s advertising strategy for long-term success. Collaboration & Mentorship Collaborate closely with peers, account managers, and cross-functional teams to drive business growth. Coach colleagues and share best practices within the organization to elevate skills and foster customer success. Performance & Results Prioritize delivering an exceptional sales experience to customers, focusing on achieving both short-term goals and long-term growth. Review performance metrics, refine strategies as needed, and adjust based on ongoing insights and data. Qualifications: Minimum Qualifications: Bachelor s degree or equivalent practical experience. At least 5 years of experience in sales, advertising, or marketing. Preferred Qualifications: Strong knowledge of traditional and online marketing strategies, with a focus on digital advertising products. In-depth understanding of the local market with a sharp analytical skill set. Ability to think critically about complex issues and provide recommendations and actionable plans for business growth. Proven experience in managing multiple projects with a wide range of internal and external stakeholders. Demonstrated relationship-building skills, particularly with C-level executives. About the Role: As an Account Executive, you will serve as the primary point of contact for a set of Google s key clients. You will help them shape their advertising strategy to ensure they reach new customers, build long-term relationships, and grow their businesses. You will use your knowledge of digital advertising and market trends to identify and seize opportunities, driving the success of both Google and your clients. In this role, you will have the opportunity to make a direct impact on your client s growth by helping them optimize their advertising campaigns and strategies. You will work closely with internal teams and external clients to create tailored solutions that deliver outstanding results. If you re a results-driven individual with a passion for helping businesses grow, this role offers an exciting opportunity to influence the success of SMBs worldwide through Google s powerful advertising solutions. Apply Now and take the next step in your sales career with Google! Qualification : Bachelors degree or equivalent practical experience.

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

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

Network/Telecom Engineer Role Overview We are seeking an experienced Network/Telecom Engineer to lead and manage a team responsible for network upgrades, equipment replacement, and telecommunication infrastructure modernization. This role involves designing, assessing, and deploying networking solutions, ensuring quality, and mentoring team members. Key Responsibilities Network Upgrades & Modernization Replace legacy telecommunication equipment and transition from TDM-era technology. Apply networking principles to determine required equipment (routers, SFPs, power, etc.) using site survey data. Network Design & Planning Assess networking components and develop detailed designs and scope of work for installations. Assemble bill of materials (BOM) and support design discussions. Team Leadership & Project Management Oversee team members quality, schedule, budget, and scope. Provide coaching, training, and mentorship to engineers. Required Skills & Qualifications Education & Experience: Bachelor's degree in Electrical Engineering (EE) or Electronics & Telecommunication Engineering (EXTC). 5-8 years of experience in telecommunication or network engineering. Knowledge of networking, computing, or electrical engineering. Technical Skills: Proficiency in Microsoft Visio, Excel, and Word. Strong communication and team leadership abilities. Preferred Qualifications (Good to Have, but Not Required) Certifications & Technical Expertise Certifications from Nokia, Cisco, or other networking authorities. Experience with legacy telecom technologies (TDM, SONET, serial communication). Knowledge of network transport technologies (DWDM, Microwave, MPLS packet networking). Familiarity with SCADA or Operational Technology (OT) in an electric utility environment. Lead cutting-edge network modernization projects. Work with a dynamic and skilled team. Competitive salary and career growth opportunities. Apply Now & Lead the Future of Telecom Networking!

Prototyping & UI Engineer Role Overview We are seeking a skilled Prototyping & UI Engineer to design and develop high-quality prototypes, reusable templates, and component libraries. This role involves collaborating with cross-functional teams, optimizing UI processes, and implementing scalable design solutions using Agile methodologies. Key Responsibilities Prototype & UI Development Rapidly design and develop prototypes for new requirements. Create templates and reusable component libraries. Ensure UI consistency and scalability. Collaboration & Process Improvement Work with cross-functional teams to optimize workflows. Implement process improvements using Agile methodologies. Document and manage design change requests effectively. Code Implementation & Maintenance Write scalable and maintainable JavaScript/TypeScript code. Develop and host RESTful APIs. Ensure adherence to SOLID principles and OOP concepts. Perform unit testing and bug fixing. Required Skills & Qualifications Education & Experience: BE/BTech/MCA/MTech or equivalent degree. Strong experience with professional prototyping tools (Figma, Sketch, etc.). Technical Skills: JavaScript/TypeScript proficiency. Experience with SQL/NoSQL databases and writing SQL queries. Familiarity with UML, use case, sequence diagrams, and design patterns. RESTful API development and hosting. Version control using Git/GitHub. Knowledge of Docker and containerization. Familiarity with data visualization tools (D3.js, Chart.js) is a plus. Optional Skills (Good to Have, but Not Required) Front-End & UI Development Experience with React.js (JavaScript/TypeScript). Strong understanding of HTML5, CSS3, and responsive design. Soft Skills Problem-Solving Analytical thinking and troubleshooting. Collaboration Strong communication and teamwork. Project Management Agile mindset, task prioritization, and time management. Documentation Ability to create technical guides and documentation. Adaptability Quick learner with a continuous improvement mindset. Work on cutting-edge UI and prototyping projects. Collaborate with highly skilled cross-functional teams. Competitive salary and career growth opportunities. Apply Now & Shape the Future of UI Prototyping! Qualification : BE/BTech/MCA/MTech or equivalent degree.

QA Automation Engineer Key Responsibilities Test Planning & Execution Write test scripts based on a comprehensive test plan covering all testing phases. Review test plans and test cases with the QA Lead and Business Analyst. Execute functional, integration, and regression test cases. Defect Management & UAT Support Identify, record, and track defects using industry-standard tools. Provide support and conduct retesting during User Acceptance Testing (UAT). Stay updated with software quality assurance best practices and standards. Manual & Automation Testing Create manual test cases for new features. Design and develop test automation scripts using various frameworks. Identify and select test cases suitable for automation. Maintain and enhance the test automation environment and infrastructure. Role Competencies Agile Testing Experience Ability to test in Agile Methodology environments. Web & API Testing Experience in testing web services and applications. Technical Testing Mindset Willingness to learn and implement advanced testing techniques. UAT Coordination Experience in coordinating test efforts across teams. Automation Frameworks Hands-on experience with Selenium is a plus. Technical Skills Knowledge of Oracle PL/SQL, .NET, Java. Automation Expertise Minimum 6 years of experience in Automation Testing. Qualifications Education: Bachelor s degree required (preferred in IT, Business Administration, or related fields). Work on cutting-edge automation testing projects. Collaborate with industry-leading experts. Competitive salary and growth opportunities. Apply Now & Elevate Your Career in QA Automation! Qualification : Bachelor's degree required. Preferred in IT Business Administration or related degree.

Senior Java Developer Location: Mumbai (On-site/Hybrid/Remote) Job Type: Full-time Experience: 4-8 Years About the Role We are seeking a highly skilled Senior Java Developer to join our dynamic team in Mumbai. The ideal candidate will have 4-8 years of experience in Java development and a strong background in building scalable, high-performance applications. You will be responsible for designing, developing, and maintaining enterprise-level applications while collaborating with cross-functional teams. Key Responsibilities Develop, test, and deploy high-quality Java applications. Design and implement scalable, efficient, and maintainable code. Work closely with architects, product managers, and other developers to define software requirements and solutions. Optimize application performance and troubleshoot issues. Ensure best practices in coding, security, and performance tuning. Participate in code reviews and mentor junior developers. Stay updated with the latest industry trends and technologies. Required Qualifications 4-8 years of experience in Java development. Strong knowledge of Core Java, Spring, Spring Boot, Hibernate, and RESTful APIs. Experience with Microservices architecture and Cloud platforms (AWS, Azure, or GCP). Proficiency in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.). Hands-on experience with CI/CD pipelines and version control (Git, Jenkins, Docker, Kubernetes, etc.). Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Kafka, RabbitMQ, or other messaging systems. Knowledge of front-end technologies such as Angular or React (a plus). Exposure to DevOps practices and containerization. Competitive salary and benefits package. Opportunity to work on cutting-edge technologies. Career growth and learning opportunities. A collaborative and innovative work environment.

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

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

About Seclore At Seclore, we are entrepreneurs, not employees a passionate team solving complex problems with cutting-edge, patent-pending technology. We challenge the status quo, take on industry giants, and thrive on meritocracy and innovation. Recognized as a "Great Place to Work" in both India and the USA, we take pride in building a culture of risk-taking, learning, and impact. Seclore is a global leader in Data-Centric Security, protecting highly confidential information across Fortune 100 companies, nuclear projects, and pharmaceutical innovations. Our award-winning technology enables organizations to control how their data is used even after sharing it externally. The Role We are seeking a highly skilled Cloud Architect to design, implement, and optimize our cloud infrastructure with a strong focus on security. This role demands strategic thinking, hands-on expertise, and collaboration with cross-functional teams to ensure scalable, resilient, and secure cloud solutions. Key Responsibilities Design & Optimize Cloud Infrastructure: Architect secure and scalable cloud solutions. Automation & DevOps: Implement automated cloud solutions using industry-standard tools. Monitoring & Security: Manage cloud monitoring, alerting systems, and security integrations. Incident Response & Ops Management: Define operational support processes and ensure adherence to policies. Collaboration: Work closely with SOC teams to integrate cloud security into overall operations. Cost Optimization: Implement strategies to optimize cloud expenses while maintaining performance. Minimum Qualifications Technical Degree: Engineering or MCA from a reputed institute. Experience: 8+ years in cloud technologies, 5+ years in AWS. Cloud Expertise: Proven experience managing multiple AWS production workloads. Scripting: Proficiency in Python & Bash. Containerization: Experience with Docker, Kubernetes, and their security implications. IaC & Automation: Hands-on experience with Terraform/CloudFormation. Security-Focused: Strong understanding of secure cloud architecture & DevSecOps practices. Certifications (Preferred): AWS Certified Solutions Architect / Security Specialty. Work on Industry-Leading Security Tech Collaborate with Global Enterprises Innovate & Solve Real-World Problems Competitive Salary & Benefits Be part of a team shaping the future of data security! Qualification : A technical degree (Engineering, MCA) from a reputed institute.

About the job As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will possess the necessary promoting skills to effectively build relationships with both Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) Sales teams to grow their AI businesses and drive overall value for GCP. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts. Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory s business. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience. Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market. Work with multiple customers and opportunities simultaneously, understanding each customer s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in promoting IT business solutions and executing a territory business strategy. Experience partnering with technical staff to build business cases and implementation plans. Experience identifying and driving use cases to solve customer problems. Preferred qualifications: Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors. Experience with promoting the AI technology stack. Experience working with product teams and an understanding of how to embed our technology into their product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.

about the role Cloud Engineers with experience in managing, planning, architecting, monitoring, and automating large scale deployments to Public Cloud.you will be part of a team of talented engineers to solve some of the most complex and exciting challenges faced in IT Automation and Hybrid Cloud Deployments. key responsibilities Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies Design, deploy and maintain Cloud infrastructure for Clients Domestic & International Develop tools and automation to make platform operations more efficient, reliable and reproducible Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners Take initiatives to lead, drive and solve during challenging scenarios preferred qualifications 1-3 years experience in Cloud Infrastructure and Operations domains Experience with Linux systems and/OR Windows servers Specialize in one or two cloud deployment platforms: AWS, GCP, Azure Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine) Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net) Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios Logging and Monitoring tools (ELK, Stackdriver, CloudWatch) DevOps Technologies Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos) Deep experience in customer facing roles with a proven track record of effective verbal and written communications Dependable and good team player Desire to learn and work with new technologies Automation in your blood

We are looking for a Solutions Architect to be part of our Professional Services team to deploy cloud products and services for our customers. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake s solution and communicate that connection and vision to various technical and executive audiences. The person we re looking for shares our passion about reinventing the data platform and thrives in the dynamic environment. That means having the flexibility and willingness to jump in and get done what needs to be done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for Snowflake, System Integrators and customers. And it means working collaboratively with a broad range of people both inside and outside the company. AS A SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL: Be a technical expert on all aspects of Snowflake Guide customers through the process of migrating to Snowflake and develop methodologies to improve the migration process Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Work hands-on with customers to demonstrate and communicate implementation best practices on Snowflake technology Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Provide guidance on how to resolve customer-specific technical challenges Support other members of the Professional Services team develop their expertise Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake s products and marketing. OUR IDEAL SOLUTIONS ARCHITECT WILL HAVE: Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform University degree in computer science, engineering, mathematics or related fields, or equivalent experience Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Strong skills in databases, data warehouses, and data processing Extensive hands-on expertise with SQL and SQL analytics Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, etc.) Software development experience with C/C++ or Java.Scripting experience with Python, Ruby, Perl, Bash. Ability and flexibility to travel to work with customers on-site BONUS POINTS FOR THE FOLLOWING: Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack, etc.) Experience implementing ETL pipelines using custom and packaged tools Experience using AWS services such as S3, Kinesis, Elastic MapReduce, Data pipeline Experience selling enterprise SaaS software Proven success at enterprise software WHY JOIN OUR PROFESSIONAL SERVICES TEAM AT SNOWFLAKE? Unique opportunity to work on a truly disruptive software product Get unique, hands-on experience with bleeding edge data warehouse technology Develop, lead and execute an industry-changing initiative Learn from the best! Join a dedicated, experienced team of professionals. Snowflake is growing fast, and we re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. Qualification : University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Role Summary We are currently seeking a talented Data Scientist specializing in Campaign Effectiveness Analysis to join our dynamic team. The ideal candidate will be instrumental in advanced modeling, twinning, imputation, and analytics, focusing on supporting Campaign Effectiveness accounts and projects. Key Responsibilities Conduct causal inference, including hierarchical modeling, difference-in-differences, and using controls, with expertise in longitudinal design. Apply Machine Learning skills for imputation and quick drivers analyses. Familiarity with Campaign Effectiveness data and database, including an understanding of the unique methodologies required for this design. Execute modeling tasks in R for complex analyses. Utilize SPSS for ad hoc exploratory data analysis. Proficient in SQL for data retrieval, manipulation, and database creation across multiple studies. Perform static annual norms calculations efficiently, with knowledge of post-curve completion code. Contribute to institutional knowledge regarding normative standards, cleanup processes, and consequences. Execute data pulls for curves using SQL, ensuring alignment with normative standards. Manage years of curves in an R-based application involving thousands of curves. Join curves to an adjustment file through modeling. Conduct all procedures and cleaning in R, recognizing the time-intensive nature of replicating processes. Qualifications Education: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, or related field. Competencies Desired Proven experience as a Data Scientist, preferably in Campaign Effectiveness or Market Research domain. Expertise in causal inference, machine learning, and SQL. Proficiency in advanced R program for modeling and analytics. Experience with SPSS for data exploration. Strong understanding of data governance and database management. Qualification : Bachelors or advanced degree in Data Science, Statistics, Computer Science, or related field.

Senior Systems Engineer Pre-Sales Location: Mumbai Job Category: Systems Engineering Job Schedule: Full-Time Company Overview Join Fortinet, a global cybersecurity leader with over two decades of innovation. We are looking for a dynamic Senior Systems Engineer to act as the key technical partner to sales representatives in West India, supporting enterprise accounts across the full sales lifecycle. Key Responsibilities Pre-Sales Leadership: Qualify sales leads, lead pre-bid meetings, and respond to RFPs with technical solution proposals. Demonstration & POCs: Serve as the primary technical resource during sales calls and deliver Proof-of-Concepts (POCs) to demonstrate Fortinet solutions. Post-Sales Oversight: Act as the technical point of contact for assigned accounts, collaborating with SMEs and engineering to resolve complex issues. Channel & Partner Enablement: Train channel partners on Fortinet solutions and competitive differentiation while providing technical oversight. Consulting & Advisory: Develop complex system designs and presentations; contribute to case studies and white papers. Required Skills & Experience Security Expertise: Deep knowledge of SD-WAN, NG Firewall, SASE, WAF, ZTNA, and EDR/XDR. Operations Solutions: Experience with NOC/SOC solutions such as SIEM and SOAR. Cloud & Mobile: Familiarity with public/private cloud security and mobile core solutions (GiFW, CGN, SecGW). Hands-on Ability: Proven experience designing and implementing POCs using Fortinet products or competitive solutions. Communication: Strong consultative and presentation skills with a willingness to travel across India (~25%).