Intellij Jobs in Mumbai

Job Title: SOC Manager Location: Mumbai Education: Graduate / Post-Graduate Experience: 14 18 years in IT Security / Information Security Certifications Required: CISSP or CISM About the Role We are seeking an experienced and dynamic SOC Manager to lead our Security Operations Center (SOC) and drive our cybersecurity defense strategy. The ideal candidate will have deep expertise in IT security, excellent leadership capabilities, and a proven track record of managing 24/7 SOC operations. In this critical role, you will be responsible for monitoring, detecting, responding to, and preventing cybersecurity threats across the organization. Key Responsibilities Leadership & Team Management: Lead, mentor, and manage the SOC team to ensure high performance and continuous development. Foster a high-performance culture, emphasizing ownership, accountability, and collaboration. Act as the primary escalation point for high-priority security incidents. SOC Operations: Oversee 24/7 security monitoring and real-time threat detection across the organization s infrastructure. Ensure smooth operations of SOC processes and consistent coverage of security monitoring tasks. Incident Management: Direct and coordinate all aspects of the incident response lifecycle identification, containment, investigation, remediation, and recovery. Ensure timely escalation and communication with executive leadership during major incidents. Security Tools & Technologies: Manage and optimize security tools and platforms including SIEM, PAM, firewalls, proxies, endpoint protection, etc. Ensure tools are properly configured and tuned for optimal threat detection and minimal false positives. Threat Intelligence & Analysis: Utilize threat intelligence feeds and platforms to proactively monitor emerging threats. Correlate threat intelligence with internal data to assess risk and recommend defensive strategies. Process Improvement & Automation: Drive continuous improvement and automation of SOC processes using SOAR and related tools. Enhance response efficiency through playbooks, automation scripts, and workflow optimization. Cross-Team Collaboration: Collaborate with IT, Application, and Network teams to ensure unified security efforts and seamless incident resolution. Act as a bridge between technical teams and business stakeholders. Reporting & Metrics: Define and report on key SOC performance metrics (KPIs) such as mean time to detect (MTTD) and mean time to respond (MTTR). Provide executive-level reporting on security incidents, trends, and the overall threat landscape. Compliance & Risk Management: Ensure SOC operations adhere to internal policies and external standards (e.g., ISO 27001, NIST, SEBI regulations). Support audits and compliance initiatives by providing evidence, reports, and expert insights. Security Posture Enhancement: Evaluate and recommend new technologies and methodologies to enhance detection and response capabilities. Contribute to the development and refinement of the organization s cybersecurity strategy. Training & Development: Lead SOC training initiatives to ensure analysts stay updated on the latest threats, tools, and best practices. Foster a learning environment with a focus on upskilling and career development. Key Skills & Competencies Leadership: Proven experience leading SOC or security teams in a fast-paced, mission-critical environment. Communication: Excellent verbal and written communication skills; ability to present to senior leadership and external stakeholders. Analytical Thinking: Strong problem-solving abilities; capable of analyzing complex security incidents and identifying root causes. Time Management: Exceptional organizational and prioritization skills; able to respond rapidly to high-impact incidents. Attention to Detail: Meticulous in investigation, documentation, and reporting. Mandatory Requirements 14 18 years of relevant experience in IT Security or Information Security CISSP or CISM certification (mandatory) Strong background in incident management, SOC tools, and regulatory compliance Hands-on experience in security monitoring, SIEM, SOAR, and threat hunting Be at the forefront of protecting a critical enterprise from evolving cyber threats Lead a talented team and shape the future of cybersecurity operations Exposure to a wide range of advanced tools and technologies Work in a culture that values innovation, accountability, and continuous learning Qualification : Graduate / Post-Graduate

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

Position: Deputy Manager Business Planning Employment Type: Full-Time Department: Finance Team Location: Mumbai About TimesPro TimesPro, the award-winning Higher EdTech initiative from the Times of India Group, is committed to revolutionizing professional education in India. Established in 2013, we deliver Education 4.0 an approach that is learner-centric, industry-relevant, role-specific, and technology-enabled. We offer a broad range of programs: Early Career Programs in BFSI, e-commerce, and technology Executive Education in collaboration with top national and global institutions Enterprise Learning Solutions for organizational development Role Overview We are seeking a detail-oriented and analytical Deputy Manager Business Planning to join our Finance team. This role plays a critical part in financial planning, performance analysis, cost management, and supporting strategic decision-making. You will work closely with cross-functional teams to drive financial insight and business alignment. Key Responsibilities MIS Reporting Prepare and present monthly, quarterly, and annual MIS reports, dashboards, and KPIs Deliver actionable insights and financial commentary Ensure timely and accurate reporting to stakeholders Financial Modeling & Business Case Analysis Build robust financial models for new business lines and long-range planning Conduct feasibility studies, ROI evaluations, and scenario planning Partner with business teams to assess commercial viability Cost & Responsibility Accounting Implement and maintain cost tracking systems Analyze cost structures by product, service line, and function Drive responsibility accounting to evaluate departmental efficiency Variance Analysis Analyze monthly actuals vs. budget/forecast Investigate deviations and recommend corrective measures Cash Flow & Fund Flow Management Monitor daily cash positions and forecast fund requirements Coordinate with treasury to optimize working capital and liquidity Budgeting & Business Planning Lead annual budget preparation and quarterly forecasting Align planning with organizational goals and market conditions Drive long-term financial and strategic planning initiatives Competitive & Market Intelligence Analyze competitor P&Ls and benchmark financial performance Provide insights on market trends to support strategic decisions Benchmarking & Best Practices Compare internal performance against industry benchmarks Recommend improvements to financial planning and analysis processes Key Requirements Skills & Tools Strong analytical and problem-solving capabilities Advanced Excel and financial modeling skills Proficiency in data visualization tools (e.g., Power BI, Tableau) Knowledge of SAP and financial accounting standards Excellent communication and stakeholder engagement skills Qualifications CA / CMA / MBA (Finance) or equivalent 2 5 years of experience in FP&A, business planning, cost accounting, or related functions This role offers an excellent opportunity to contribute to the financial backbone of a fast-growing EdTech organization, with exposure to strategic planning and cross-functional collaboration. Qualification : CA / CMA / MBA (Finance) or equivalent

Job Title: Strategy Analyst Reports To: Joint President Supply Chain & Distribution (SCD) Location: Mumbai Experience Required: 6+ Years Qualification: Engineering + MBA (Finance) or CFA Preferred Background: Finance sector, Investment Banking, Project Analysis (especially in Industrial/Specialty Chemicals, Energy, Transportation), or Corporate Strategy roles with a focus on financial decision support Role Overview: Matix is seeking a dynamic and analytical Strategy Analyst to join our corporate team in Mumbai. This full-time, on-site role is critical to supporting strategic initiatives, financial analysis, market intelligence, and competitive benchmarking. The ideal candidate will bring a blend of financial acumen, sector knowledge, and data-driven insights to support the company s long-term growth in the chemicals, fertilizers, and agri-tech sectors. Key Responsibilities: Market & Industry Research Conduct in-depth independent research and analysis on assigned sectors (chemicals, fertilizers, agri-tech, energy, etc.). Stay updated with relevant financial news, sector trends, regulatory changes, and emerging risks or opportunities. Identify and recommend strategic opportunities aligned with the organization s vision and long-term goals. Business Intelligence & Analytics Develop sector trackers and dashboards using tools like Power BI, integrating real-time competitor insights and industry benchmarks. Analyze upstream and downstream industry developments, creating actionable management information systems (MIS) and trackers. Strategic and Financial Planning Support financial modeling, forecasting, and valuation analysis for new initiatives or investment proposals. Evaluate techno-commercial viability of strategic options, including M&A opportunities, partnerships, and diversification. Work with cross-functional teams to create strategy presentations and decision-making reports for senior leadership. Stakeholder Engagement Build a network with agri-tech startups, investors, and venture capital funds to explore collaboration and investment opportunities. Support leadership in preparing for board-level discussions, strategy reviews, and market positioning exercises. Required Competencies: Functional Skills: Strong analytical and financial modeling capabilities. Deep understanding of financial markets, capital structures, and sectoral regulations. Familiarity with project finance, corporate finance, and investment evaluation methodologies. Proficiency in Microsoft Excel, PowerPoint, and Power BI for dashboards and presentations. Behavioral Traits: Highly self-motivated, initiative-driven, and capable of working independently. Excellent communication and presentation skills. Collaborative team player with the ability to influence cross-functional stakeholders. Demonstrated attention to detail, critical thinking, and problem-solving mindset. Preferred Additions: Exposure to the agriculture, fertilizer, chemical, or energy sectors. Experience working in investment banking, private equity, corporate strategy, or consulting. Previous involvement in dashboard creation, competitive intelligence, or strategic project evaluation. Qualification : Engineering + MBA (Finance)

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

Job Title: Digital AI Manager Location: Mumbai Function: Supply Chain Procurement About Procurement at Unilever Unilever s Procurement team manages over 30 billion in global spend across 50,000+ suppliers. As part of the Supply Chain, Procurement is essential to delivering sustainably sourced materials and services, driving innovation with our partners, and ensuring our purpose-led brands thrive. Our global procurement organization of 1,400+ professionals supports a wide network, including more than 1.5 million smallholder farmers, impacting over 7 million lives. Guided by our Procurement Lighthouse Strategy, we focus on five pillars: Competitive Buying, Resilience, Partnerships, Sustainability, and Value Chain Excellence all powered by Digital and Technology. About the Strategy & Insights Team Established three years ago, the Procurement Strategy & Insights team serves as the nerve center of Unilever s global procurement function. With a vision of transforming knowledge and data into future-fit strategies, the team enables breakthrough transformation across tools, processes, and business models. The team includes: Strategy Team Drives strategic priorities across Business Groups (BG) and Power of One. Insights Team Leads data-driven programs and cross-functional initiatives. Digital Transformation Team Builds digital capabilities, tools, and data infrastructure. Data & AI Innovation Team Focuses on cutting-edge analytics, AI, and Procurement GPT solutions. Role Overview: Digital AI Manager B&W As Digital AI Manager B&W, you will lead the adoption and integration of digital and AI tools within Unilever Procurement. You will drive the implementation of mature AI/analytics solutions, champion digital adoption within the buyer community, and manage transformation initiatives aligned with our 4D Digital Lighthouse Strategy. You will also act as the Program Manager for the Procurement GPT Hero Use Case, helping scale innovative AI-driven solutions. Key Responsibilities 1. Drive 4D Digital Lighthouse Strategy Data Foundations: Enhance the Procurement Data Lake by integrating internal (Unilever Datalake, BDL) and external data (market intelligence, sustainability, resilience, etc.). Maintain a high-quality, accessible data catalogue. Advanced Analytics: Deliver scalable analytics use cases, build self-service analytics tools, and enable data-driven decision-making across key procurement programs. Tool Integration & Automation: Improve and integrate digital tools into the 7-step strategic sourcing process. Enhance the Buyers Console as the central hub for digital tools and services. Culture & Capability Building: Lead digital adoption programs, deliver training (e.g., DigiCon), and drive capability building across the procurement community. 2. Procurement GPT Program Collaborate closely with the Data & AI Innovation team on advanced AI use cases. Manage the transition of innovations into mainstream adoption and support scaled implementation. Key Stakeholders Procurement Leadership Team (UPLT) Head of Strategy & Insights Global Buyer Community UniOps External technology and AI partners Leadership Competencies Strong stakeholder management across complex, matrixed environments Expertise in change management and adoption strategies Skilled in agile project and program management Passion for digital innovation, transformation, and continuous improvement Required Experience Minimum 5 years experience in Unilever or similar FMCG environment Proven experience in digital transformation, analytics, or change leadership roles Track record of delivering strategic, cross-regional initiatives Ability to work in diverse, cross-functional, and global teams

Job Title: Software Developer Location: Mumbai Role Overview: We re looking for a passionate Software Developer to join our team and contribute to the creation and enhancement of innovative gaming and mobile applications. If you love coding, solving puzzles, and bringing creative ideas to life, this is the perfect role for you. Key Responsibilities: Develop new game code and prototype exciting gameplay concepts. Collaborate with the team to brainstorm and refine innovative game ideas. Identify, troubleshoot, and fix bugs in our mobile applications. Test apps across iOS and Android devices to ensure smooth functionality. Write clean, efficient code for new features, apps, and products. What We re Looking For: A curious mind who enjoys experimenting and trying new approaches. Strong logical thinking and problem-solving skills. Resilience and patience when facing challenges and bugs. A proactive learner who is eager to acquire new skills independently. A team player who enjoys collaborating to find creative solutions. Focused, dedicated, and detail-oriented work ethic. An innovative thinker capable of thinking outside the box. What You ll Learn: The full app development lifecycle from concept to deployment. Mobile app development for both iOS and Android platforms. The art of persistence continuously exploring new ways to solve problems.

Position: Spring/SpringBoot Developer Fresher Location: Vile Parle, Mumbai, Maharashtra, India Job Type: Full-Time About the Role: JForce Solutions is looking for freshers with excellent coding skills who can quickly contribute to development tasks. You will work with cutting-edge technologies and be a key part of the team building and enhancing web applications. This role involves developing new applications, enhancing existing ones, and improving their performance. Please note, there will be a 3-year bond for this position based on your experience. Job Location: Vile Parle West, Mumbai. Key Responsibilities: Development: Work on a variety of technologies such as Spring, SpringBoot, J2EE, Java, React, Tomcat, MySQL, Microservices, Redis, OAuth, NodeJS, Angular. Web Application Development: Develop and build new web applications. Enhancement: Improve and enhance the performance of existing applications. Collaboration: Collaborate with other team members to design and implement software solutions. Requirements: Skills: Proficiency or basic understanding of technologies like Spring, SpringBoot, J2EE, Java, React, Tomcat, MySQL, Microservices, Redis, OAuth, NodeJS, Angular. Problem Solving: Strong analytical and coding skills. Freshers: Recent graduates or those with limited experience in Java-based development.

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Hands-on software development experience in an Object-Oriented programming language (such as Python, Java, C++). Hands-on practical experience in system design, application development, testing, and operational stability. Experience in developing highly scalable micro-services based applications. In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Experience with Source Code Control Systems such as Git, bitbucket, svn, etc. Experienced inagile methodologies Preferred qualifications, capabilities, and skills Familiar in highthroughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB etc. andinnear real time stream processing with services such Kafka, Kinesis, Flink, ECS, EKS etc. Familiar in high volume feature engineering with services such as EMR.Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Familiar with relational DBs, SQL, RDS. Experience with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud. Experience with recommendation and personalization systems.Interest in problems related to the financial services domain. Qualification : Formal training or certification on software engineering concepts and 2+ years applied experience

Analyst Energy Deals Desk Location: Mumbai Employment Type: Full-time Role Summary The Analyst Energy Deals Desk is responsible for monitoring, reporting, and analyzing trading positions, P&L, and volumetric exposures for physical and derivative energy markets. This role ensures accurate trade economics, supports hedging decisions, and provides high-level commentary for management and trading teams. Key Responsibilities Position & P&L Reporting: Produce daily trading positions, management P&L, and volumetric exposure reports. Trade Lifecycle Management: Enter inception P&L for new strategies and maintain economics throughout the lifecycle; validate and justify strategy economics independently. Market Valuation: Apply daily forward curves for physical and derivative markets and explain their impact on trading P&L. Management Commentary: Prepare daily reports for the Board of Directors and traders, explaining P&L fluctuations due to market shifts or trade estimates. Exposure Analysis: Analyze Mark-to-Market (M2M) P&L and ensure all market price risks are captured and hedged appropriately. Data Integrity: Maintain full responsibility for the integrity of trading system data used in all reporting and analysis. Strategy Support: Assess implications of future physical deliveries and create ad-hoc reports to support hedging strategies. Knowledge, Skills & Abilities Education: MBA in Finance; an Engineering degree is highly desirable. Experience: 1 5 years of relevant work experience, preferably in energy trading or risk management. Technical Skills: Strong analytical skills and high proficiency in MS Excel and multiple trading systems. Communication: Excellent English communication skills to deliver precise market commentary. Attributes: Ability to work meticulously under pressure in a fast-paced trading environment. Qualification : MBA in Finance an Engineering degree is highly desirable

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

Data Scientist Location: Mumbai Experience: 2 7 years Employment Type: Full-Time About the Role We are looking for a highly skilled and motivated Data Scientist to join our team in Mumbai. The ideal candidate will have a strong background in data science, machine learning, and big data technologies, with the ability to draw actionable insights from complex data sets. If you're passionate about solving real-world problems using data and AI, and thrive in a fast-paced, collaborative environment we want to hear from you. Key Responsibilities Design and implement processes to collect and aggregate data from multiple sources. Clean, normalize, and prepare large datasets for analysis. Apply statistical methods and machine learning techniques to uncover insights and drive business decisions. Build scalable data pipelines and frameworks to manage large volumes of data. Work cross-functionally to develop innovative products, reports, and features aligned with business needs. Translate analytical findings into clear, actionable recommendations. Desired Candidate Profile 2 7 years of relevant experience in data science or related fields. Proficiency in Python, R, and SQL. Strong grasp of machine learning, AI, and natural language processing (NLP). Experience with big data technologies and handling large datasets. Excellent knowledge of algorithms, mathematics, and statistics. Ability to thrive in a dynamic, challenging environment. Strong problem-solving and communication skills. High attention to detail and analytical rigor. Opportunity to work on cutting-edge data-driven solutions. Collaborative and innovative work culture. Chance to shape impactful products and features in real-world applications. Career growth and learning in advanced data technologies and AI.

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.

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

Job Title: Analyst International Business Location: Mumbai Experience Required: 2 4 years Education: MBA in International Business Job Summary We are seeking a dynamic and analytical Analyst International Business to support our international business development initiatives. This role will involve conducting market research, assisting in strategic business development activities, managing customer-related processes, and supporting international exhibitions and proposals. The ideal candidate will be proactive, detail-oriented, and skilled in research, reporting, and communication. Key Responsibilities Strategic Support Conduct market research, competitor analysis, and due diligence for international markets. Develop partnership profiles and country-specific PEST (Political, Economic, Social, Technological) analyses. Track product and technical benchmarking insights regularly. Business Development Assist with tender documentation, proposal writing, and customer communications. Prepare letters, presentations, MIS reports, and departmental decks. Support in the creation and review of techno-commercial proposals. Customer and Operational Support Manage end-to-end customer engagement activities. Assist in coordinating international and defense exhibitions. Maintain accurate documentation and create a centralized repository for company materials and business data. Skills Required Functional Skills Proficiency in MS Office Suite (Excel, PowerPoint, Word). Strong reporting and presentation capabilities. Excellent communication skills written and verbal. Ability to conduct structured secondary research and extract market intelligence. Ideal Candidate Profile 2 4 years of experience in international business, strategy, or market research roles. MBA in International Business or a related specialization. Strong analytical thinking with a keen interest in international markets and business expansion. Ability to work independently and collaboratively across departments. Qualification : MBA in International Business

Job Title: Customer Success Manager Cybersecurity Location: Mumbai, Maharashtra, India Department: Customer Success | Full-Time About CloudSEK At CloudSEK, we re on a mission to build the world s fastest and most reliable AI-driven cybersecurity technology. Founded in 2015 and headquartered in Singapore, we ve grown rapidly to become one of India s most trusted cybersecurity product companies. Our proprietary AI and ML-powered platform offers real-time detection and resolution of digital threats across various internet sources. CloudSEK s product suite includes: XVigil: Digital Risk Protection Platform BeVigil: Attack Surface Monitoring Tool SVigil: Contextual AI for Supply Chain Risk Monitoring We re proud recipients of multiple accolades, including: NASSCOM-DSCI Security Product Company of the Year NetApp Excellerator s Best Growth Strategy Award $7M Series A funding led by MassMutual Ventures Join us as we redefine digital risk management across the globe. Role Overview: Customer Success Manager Cybersecurity We are looking for a Customer Success Manager (CSM) with a strong background in cybersecurity to manage strategic customer accounts and ensure they realize maximum value from CloudSEK s solutions. You ll be the primary point of contact for clients, combining your relationship management skills with technical cybersecurity expertise to deliver an outstanding customer experience and drive retention, engagement, and growth. Key Responsibilities Account Management Serve as the main liaison for a portfolio of strategic enterprise clients Conduct Quarterly Business Reviews (QBRs) and Annual Business Reviews (ABRs) to align customer goals with product capabilities Visit clients at least twice a year to strengthen relationships and understand evolving cybersecurity needs Cybersecurity Expertise Provide expert insights on threat intelligence, data leak prevention, and digital risk protection Act as a trusted cybersecurity advisor, interpreting threat data generated by CloudSEK s platforms Work closely with client security teams to optimize product usage and threat response Customer Engagement Build strong relationships with key stakeholders including CXOs and CISOs Cultivate customer champions to support advocacy and referrals Deliver customized threat intelligence reports and collect feedback for continuous improvement Revenue Growth and Retention Identify upsell and cross-sell opportunities within assigned accounts Drive on-time subscription renewals and ensure Net Revenue Retention (NRR) and Gross Revenue Retention (GRR) targets are met Support the sales team with referrals and client expansion strategies Product Adoption & Feedback Ensure 100% utilization of subscribed features and solutions Conduct regular configuration and usage reviews Gather client feedback and contribute to product roadmap planning Operational Excellence Maintain accurate account records using CRM tools Share knowledge internally through documentation, training, and internal presentations Ideal Candidate Profile 5+ years of experience in Customer Success, Account Management, or Cybersecurity consulting Strong understanding of cybersecurity principles, digital risk management, and threat intelligence Excellent communication and relationship management skills Proven track record in driving customer satisfaction, retention, and account growth Ability to manage multiple accounts and prioritize tasks effectively Tech-savvy, detail-oriented, and driven by customer outcomes Bonus Points If You Have Experience conducting onsite meetings and business reviews Knowledge of Net Revenue Retention (NRR) and Gross Revenue Retention (GRR) metrics Experience analyzing cyber threats and delivering value-based recommendations Perks & Benefits at CloudSEK Competitive compensation and performance incentives Flexible working hours and a vibrant office culture Free food, unlimited snacks, and beverages Regular team events, music sessions, and creative showcases An opportunity to make a real-world impact in a fast-scaling cybersecurity company Join CloudSEK Empowering the Future of Cybersecurity If you're a customer-focused professional with a passion for cybersecurity and client success, we d love to meet you. At CloudSEK, your work will protect global digital assets while you grow with a world-class team. Apply now and be part of our journey to secure the digital world.

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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

Manager Systems Engineering (Enterprise) Location: Mumbai Job Category: Systems Engineering Job Schedule: Full-Time Role Overview We are seeking a Seasoned Cybersecurity Leader to drive pre-sales strategy and technical vision across enterprise customers in India. This role requires deep cybersecurity expertise and the ability to engage directly with CXO-level stakeholders. You will lead a team of solution engineers and partner with sales leadership to influence the adoption of Fortinet s strategic cybersecurity solutions. Key Responsibilities Strategic Leadership: Lead enterprise pre-sales strategy for solutions including SD-WAN, SASE, ZTNA, SecOps, and Cloud Security. Technical Engagement: Drive customer engagements through workshops, whiteboarding, and POCs; translate complex challenges into tailored solutions. Stakeholder Management: Engage with CXOs and senior IT leadership to align security solutions with business objectives. Team Management: Build, mentor, and manage a team of top-tier pre-sales engineers, ensuring technical excellence and professional growth. Operations: Oversee RFP/RFI responses, solution design, and competitive positioning in collaboration with product and marketing teams. Market Intelligence: Monitor trends and the competitor landscape to enhance enterprise offerings. Required Skills & Qualifications Experience: 15+ years in cybersecurity pre-sales/solution consulting, with at least 3 years in a leadership role. Domain Expertise: Deep knowledge of Network Security, Cloud Security, Zero Trust, and OT (Operational Technology). Education: BS/MS in Computer Science or a related technical domain. Leadership: Proven ability to mentor and inspire technical teams while managing large strategic accounts. Certifications (Preferred): CISSP, CCSP, CCIE, or AWS/Azure Security credentials. Opportunity to shape cybersecurity strategy for top-tier enterprise accounts. A collaborative, leadership-focused role with high autonomy and accountability. Exposure to global teams and cutting-edge GenAI and security technologies. Qualification : BS/MS in Computer Science or a related technical domain

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.