Classification Standards Jobs in Bengaluru

Senior Executive - Finance (Controllership) Location: Bengaluru Employment Type: Full-time About Us Exotel is a leading provider of AI-powered transformation solutions, enabling enterprises to optimize customer engagement and experience. With over 20 billion annual conversations across omnichannel, voice, agents, and bots, we serve more than 7,000 clients worldwide, spanning industries such as BFSI, Logistics, Consumer Durables, E-commerce, Healthcare, and Education. Customer expectations are constantly evolving, and businesses are balancing the need for increased revenue, optimized costs, and exceptional customer experience (CX). Exotel steps forward as a transformative partner, offering an AI-powered communication platform to help businesses address all these challenges. About the Role We are looking for a Chartered Accountant (CA) to join our Controllership team, who will be responsible for managing accounting, compliance, reporting, and audit functions. This is an exciting opportunity to gain full-spectrum exposure to controllership within a fast-paced, product-driven environment. Key Responsibilities End-to-End Accounting: Manage accounting processes under Indian GAAP and Ind AS, ensuring financial accuracy and compliance. Month-End Close & Reporting: Handle the month-end close process, perform reconciliations, and provide detailed financial reports. Revenue Recognition: Ensure proper recognition of SaaS subscriptions and usage billing in line with accounting standards. Audit & Compliance: Support audit activities and statutory compliance (e.g., GST, TDS, Companies Act). Process Controls: Maintain internal controls, proper documentation, and process hygiene across various entities. Budgeting & Forecasting: Assist in budgeting, forecasting, and variance analysis to support business decision-making. Efficiency Improvements: Drive process automation and improvements to enhance the overall efficiency within the finance team. Qualifications: CA Inter, B.Com (Hons), or MBA in Finance. Experience: Solid understanding of accounting standards and financial reporting. Hands-on experience with revenue recognition and working in SaaS or product-led environments is a plus. Skills: Strong attention to detail, ownership, and analytical mindset. Proficiency in Excel (advanced level preferred). Familiarity with ERP or accounting tools (e.g., SAP, Tally, QuickBooks) is a plus. Exposure: Gain full-spectrum exposure to controllership in a scaling SaaS company, and develop a deep understanding of financial processes in a high-growth environment. Growth Path: Opportunities to progress into roles in Controllership, FP&A, or Business Finance as you continue to grow with us. Innovation: Join a company at the forefront of AI-powered communication solutions, with a mission to drive transformation in customer engagement. If you are a detail-oriented, analytical professional looking to build your career in controllership and gain exposure to a growing SaaS company, apply now! We are excited to have someone with your expertise join our dynamic team. Qualification : CA Inter, B.Com (Hons), or MBA in Finance

Associate Packaging Location: Bengaluru Employment Type: Full-Time Job Summary We are seeking a diligent Regulatory Compliance Team Lead to manage the qualification and compliance of packaging materials used in consumer products across the EMEA region. This role will focus on ensuring adherence to key EU and French regulations, coordinating testing and documentation, and collaborating closely with cross-functional teams to advance packaging compliance initiatives. Key Responsibilities Lead the qualification process for packaging materials used in consumer products, ensuring regulatory compliance across the EMEA region. Ensure packaging materials comply with relevant regulations including, but not limited to: EC 1223/2009 (Cosmetic Products Regulation) REACH Regulation (EC) No 1272/2008 French AGEC Law & Decree (including Article L. 5232) EU 2019/1021 (Persistent Organic Pollutants Regulation) EC 10/2011 (Food Contact Materials, if applicable) EU 528/2012 (Biocidal Products Regulation) Compliance with PFAS-related restrictions Conduct or oversee evaluations including: Packaging safety assessments (chemical compatibility, leaching/migration analysis) Stability and microbial integrity checks related to packaging Substance screening for SVHCs, POPs, phthalates, PFAS, and other restricted substances Review, validate, and manage supplier documentation such as Safety Data Sheets (SDS), Certificates of Compliance (CoC), Declarations of Conformity (DoC), migration test reports, and recyclability data. Collaborate effectively with cross-functional teams and external vendors/suppliers to ensure timely document collation and verification. Guide, mentor, and support junior team members involved in packaging compliance activities. Qualifications Bachelor s degree in Chemistry, Packaging Engineering, or a related field. Minimum of 2 3 years of experience in the life sciences industry, preferably within a packaging department. Strong understanding of packaging development and raw material chemistry. Excellent communication skills, demonstrating effective, timely, and proactive engagement with internal teams and external suppliers. Critical thinking ability to ask relevant questions, avoid redundant steps, and leverage past learnings to improve processes. Be part of a team driving compliance and innovation in consumer product packaging across the EMEA region. Collaborate with diverse experts and suppliers to ensure the highest standards of safety and regulatory adherence. Grow your career in a dynamic and evolving life sciences environment. Interested? Apply now to contribute your expertise to packaging compliance excellence! Qualification : Bachelors degree in Chemistry, Packaging Engineering, or a related field

Quality Leader Location: Bangalore Experience: 8 12 Years Education: B.E / B.Tech / M.E / M.Tech in Electronics, Computer Science, or a related discipline Job Summary We are looking for an experienced Quality Leader to drive software and process quality across embedded systems projects, with a focus on ASPICE, CMMI, and Functional Safety standards. The ideal candidate will have deep expertise in quality systems, metrics-driven process evaluation, and project lifecycle management. This role is instrumental in ensuring that project deliverables meet the highest standards of quality, safety, and compliance especially within the automotive domain. Key Responsibilities Process Monitoring & Compliance Ensure adherence to defined processes (ASPICE 3.1/4.0, CMMI, ISO standards) across multiple projects. Identify and report non-compliance issues and drive corrective/preventive actions (CAPA). Conduct process audits and facilitate project quality gate reviews. Data Collection & Metrics Analysis Collect project and process data to derive key quality metrics (e.g., defect density, review efficiency, process compliance scores). Perform root cause analysis (RCA) for quality issues and implement improvement actions. Tool and System Oversight Manage configuration management systems and defect/issue tracking tools. Work closely with development and testing teams to ensure tool usage aligns with defined processes. Process Definition & Improvement Define, maintain, and continuously improve the organization s Quality Management System (QMS). Contribute to functional safety and cybersecurity process definition (e.g., ISO 26262, ISO 21434). Promote a culture of quality and continuous improvement through training, mentoring, and awareness programs. Required Skills & Experience 8 12 years of experience in quality assurance or process management in embedded software projects. In-depth knowledge of ASPICE (3.1/4.0), CMMI, and SDLC models such as V-Model, Agile/Scrum. Experience with software quality metrics, root cause analysis, and CAPA processes. Familiarity with defect tracking and configuration management tools (e.g., Jira, IBM Rational, Git, SVN). Understanding of software quality factors, process audits, and measurement techniques. Exposure to Functional Safety (ISO 26262) and QMS process definition. Working knowledge of at least one programming language (C, C++, Python, etc.) to understand software deliverables from a quality perspective. Preferred / Added Advantage Experience in the automotive domain, including compliance with industry-specific safety and cybersecurity standards. Involvement in certification or appraisal processes (e.g., ASPICE assessments, CMMI appraisals). Knowledge of ISO 21434 (Automotive Cybersecurity). Lead quality transformation initiatives across cutting-edge embedded projects. Collaborate with top-tier automotive and industrial clients. Play a strategic role in shaping process excellence and organizational quality culture. Competitive compensation and a platform for professional growth. Qualification : B.E / B.Tech / M.E / M.Tech in Electronics, Computer Science, or a related discipline

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

MEP Engineer Location: Bengaluru Qualification: B.Tech (Mechanical / Electrical) Experience: 6+ years Job Description We are looking for a skilled and detail-oriented MEP Engineer to oversee the Mechanical, Electrical, and Plumbing systems for our construction and infrastructure projects. The ideal candidate should have hands-on experience in MEP design coordination, execution, and site supervision, ensuring quality, safety, and compliance with project specifications. Key Responsibilities Plan, review, and manage the execution of MEP works (HVAC, electrical, plumbing, fire-fighting, etc.) at project sites. Coordinate with architects, structural engineers, consultants, and contractors to ensure seamless integration of MEP services. Review technical drawings, specifications, and BOQs for accuracy and alignment with project requirements. Monitor MEP installation activities to ensure compliance with design, quality, and safety standards. Conduct regular site inspections and testing of MEP systems. Identify and resolve any on-site technical issues related to MEP services. Assist in procurement of MEP materials and ensure timely delivery. Support project managers in preparing progress reports and documentation. Required Skills & Experience B.Tech in Mechanical or Electrical Engineering. Minimum 6 years of experience in MEP coordination and execution in construction or infrastructure projects. Good understanding of HVAC, electrical systems, water supply, drainage, and fire safety systems. Proficient in reading technical drawings and using AutoCAD or related software. Strong problem-solving, coordination, and communication skills. Knowledge of applicable building codes and safety regulations. Qualification : B.Tech in Mechanical or Electrical Engineering

Director Quality Engineering Experience: 15 20 years Location: Bengaluru Team: Engineering About CoinDCX At CoinDCX, we believe Change Starts Together. We are on a mission to make Web3 accessible to all, building cutting-edge products that solve real-world challenges in security, scalability, and user accessibility. In just six years, we ve transformed from India s first crypto unicorn to a platform serving over 125 million users worldwide. As we accelerate Web3 adoption, we are looking for visionary leaders to help us maintain world-class quality and performance standards. Role Overview As Director of Quality Engineering, you will lead and scale our QA and Performance Engineering functions to ensure the reliability, scalability, and security of our fintech products. You ll be responsible for driving the quality strategy across large-scale distributed systems and building a high-performing team passionate about excellence. What You ll Do Leadership & Strategy Lead and grow a team of 50+ QA, automation, and performance engineers. Define and execute a long-term quality engineering strategy aligned with business goals and regulatory requirements. Foster a culture of ownership, accountability, and continuous improvement. Quality Engineering Champion an automation-first approach across functional, regression, and integration testing. Oversee end-to-end validation for core product flows including trading, payments, custody, and compliance. Own testing strategies for microservices architectures and high-throughput APIs. Performance & Scalability Lead performance testing initiatives designed to support systems handling over 1 million TPS with sub-50ms latency. Develop frameworks for continuous performance benchmarking and capacity planning. Collaborate with SRE, DevOps, and Product Engineering to identify and mitigate performance bottlenecks. Non-Functional Testing Ensure comprehensive coverage for reliability, availability, failover, disaster recovery, and security. Drive chaos testing, fault injection, and compliance-related quality assurance processes. Collaboration & Stakeholder Management Partner with Product, Platform, Security, and Compliance teams to align quality standards with regulatory mandates. Provide executive reporting on quality, system resilience, and risk metrics. Influence cross-functional adoption of best practices in testing and release validation. What You Bring Experience 15+ years in QA and Performance Engineering, with at least 5 years in senior leadership roles. Proven experience managing large, high-growth fintech or financial services engineering teams (50+ members). Technical Expertise Deep expertise in testing large-scale distributed systems. Strong knowledge of performance, load, stress, soak, and chaos testing frameworks. Familiarity with cloud-native environments (AWS, Kubernetes), CI/CD pipelines, and observability tools. Domain Knowledge Extensive background in fintech or financial services (trading, payments, banking). Strong understanding of regulatory and compliance requirements in financial applications. Leadership & Soft Skills Exceptional people leadership, mentoring, and organizational scaling capabilities. Excellent stakeholder management with the ability to influence senior engineering and business leaders. Strategic, data-driven decision-making mindset. You re passionate and constantly curious about Web3 and Virtual Digital Assets (VDA). You act with ownership, drive excellence, and focus on measurable impact. You embrace a We over Me philosophy empowering your team as you grow. Change excites you and fuels your innovation mindset. You think beyond limits, challenging the status quo to push boundaries. Perks That Empower You Design Your Own Benefit: Personalize your perks to fit your lifestyle whether it s tech, travel, or pets, your priorities come first. Unlimited Wellness Leaves: Take time off as needed to recharge your health matters most. Mental Wellness Support: Access free counseling, expert sessions, workshops, and social events to stay balanced. Bi-Weekly Learning Sessions: Sharpen your skills and stay current with ongoing industry trends and knowledge. Join Us If you re ready to lead a high-impact team and help build the future of Web3 quality engineering we want to HODL you on our team!

Job Title: Calibration Technician Location: Bangalore Experience Required: 1 2 Years Education Qualification: Diploma in Electronics & Communication (ECE) or Electrical Engineering Job Summary: We are seeking a detail-oriented and organized Calibration Technician to support the calibration of electronic equipment in accordance with industry standards. The ideal candidate will manage internal and external calibration processes, ensure equipment reliability, and maintain accurate documentation, while adhering to AS9100 and ISO9001 standards. Key Responsibilities: Monitor, witness, and review calibration activities conducted by external calibration houses; verify and approve calibration certificates against defined tolerance limits. Manage the internal calibration process, including scheduling, witnessing, documentation, and obtaining approvals from authorized personnel. Maintain an up-to-date calibration database, ensuring that all equipment is calibrated at specified intervals. Act as the single point of contact for communication between the calibration house and internal design or engineering teams. Ensure all calibrated equipment is protected from unauthorized adjustments, damage, or deterioration that could affect measurement accuracy. Monitor and log environmental conditions of equipment to support calibration integrity. Evaluate equipment reliability and escalate issues when abnormalities or failures are observed. Ensure adherence to AS9100 and ISO9001 standards for all calibration processes. Exhibit an understanding of engineering and technical work disciplines and maintain professional interactions. Required Skills & Competencies: Understanding of equipment calibration principles and tolerance analysis. Experience in working with electronic testing and measuring instruments. Proficient in maintaining calibration records and scheduling tools. Strong attention to detail and analytical mindset. Familiarity with AS9100 and ISO9001 calibration compliance requirements. Good communication and coordination skills for liaising with calibration vendors and internal teams. Qualification : Diploma in Electronics & Communication (ECE) or Electrical Engineering

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Position: Data Science Specialist Employment Type: Full-time Location: Bangalore, On-site Experience Required: 1 to 6 years (Mindset > Experience) About the Role: We re seeking a mission-driven, hands-on Data Analytics Specialist passionate about impact. This is not a typical analytics role you will drive key business metrics across clinical operations, stakeholder reporting, and automation. Collaborate closely with leadership, radiologists, operations, product teams, and AI engineers to ensure every decision is data-driven, actionable, and scalable. If you thrive on building dashboards, automating processes, streamlining pipelines, and driving growth through insights, this is your playground. Key Responsibilities: Own Business KPIs: Take full ownership of company-wide metrics, ensuring their accuracy, relevance, and actionability through stakeholder alignment. Data Engineering: Build and optimize ETL/ELT pipelines integrating data from Postgres, ClickHouse, and other sources. Dashboards & Reporting: Design and maintain intuitive dashboards (Metabase, Power BI, Tableau, Google Data Studio) that stakeholders actively use. Backend Data Transformation: Write clean, reusable code to convert raw data into actionable insights. API Development: Build and maintain internal APIs to serve analytics data to frontend and production systems. Email Automation: Develop real-time and scheduled email reports delivering dynamic insights to stakeholders. Spreadsheet Expertise: Automate and manipulate complex data in Excel/Google Sheets for detailed analysis and reporting. AI & Automation: Collaborate with AI teams to integrate predictive algorithms and automate analytics workflows. Business Acumen: Develop deep understanding of the teleradiology ecosystem clinical workflows, operations, financials, and tech platforms. Proactive Collaboration: Identify data gaps, flag inconsistencies, recommend improvements, and work closely with leadership. Required Skills: Strong Python skills for data analytics (Pandas, NumPy, FastAPI, Jupyter, etc.) Proficient in SQL (ClickHouse, PostgreSQL) with experience optimizing queries End-to-end dashboard ownership from data modeling to UI presentation Experience building or integrating APIs for analytics Advanced spreadsheet skills and formula-driven reporting Experience working with AI/ML models in applied settings (preferred) Hands-on backend data transformations, version control, and automation Familiarity with full-stack development frameworks (bonus) Bonus / Nice to Have: Exposure to dbt, Airflow, ChromaDB, Streamlit, Plotly Knowledge of data privacy, compliance, and healthcare analytics Experience building analytics platforms for SaaS or health-tech companies Mindset We re Looking For: 10x Hustler: Ready to learn fast and go the extra mile to solve problems. Obsessed with Accuracy: Data must be flawless before release. Extreme Ownership: Proactive in driving results without waiting for instructions. Fast Learner: Able to pick up new tools and concepts quickly. Business First, Code Later: Focused on impact, not just coding. Be part of India s fastest-growing teleradiology platform Direct access to leadership and real-world business impact Build game-changing analytics systems and influence strategy Gain exposure to AI, automation, product, and operations in one role Clear ramp-up roadmap and growth plan Expectations in First 3 Months: Build an end-to-end dashboard from scratch Clean up at least one messy data pipeline Automate a stakeholder email update Validate accuracy across critical business metrics Understand full-stack platform structure and propose an improvement

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Data Privacy Compliance Specialist Location: Bangalore, India Office About the Team Rubrik s Legal Team is at the heart of our mission to secure the world s data. We provide essential guidance across contract management, intellectual property, employment law, privacy, trade compliance, and litigation. Our team thrives on open debate, innovation, and ownership, contributing to building an iconic company. Rubrik is growing rapidly and evolving join us to be unstoppable, together. About the Role Rubrik is looking for a Data Privacy Compliance Specialist to strengthen and manage our global privacy program. The ideal candidate will have hands-on experience with privacy management accountability frameworks (PMAF), compliance auditing, and implementing data protection practices aligned with evolving global regulations. This role requires working collaboratively across procurement, engineering, product management, legal, and information security teams worldwide to maintain compliance and mitigate privacy risks. What You ll Do Conduct internal and coordinate external privacy audits as needed. Assess and monitor privacy compliance of third-party vendors and service providers. Continuously review data handling practices to ensure compliance with internal policies and global regulations. Develop, maintain, and enforce data privacy policies and procedures aligned with legal requirements and business objectives. Maintain detailed documentation to demonstrate compliance and accountability. Manage and update an inventory of personal data processing activities, including data flows and classifications. Oversee cross-border data transfer mechanisms ensuring adherence to applicable privacy laws. Lead internal privacy reviews, supporting engineering and data governance teams with data mapping, documentation, and privacy impact assessments. Collaborate with teams to implement privacy risk mitigation solutions while ensuring regulatory adherence. Develop and deliver privacy training to internal stakeholders to raise awareness and ensure compliance with privacy responsibilities. Experience You ll Need Minimum 3+ years of experience in data privacy compliance, preferably with exposure to Privacy Management Accountability Frameworks (PMAF). Strong knowledge of global data protection regulations such as GDPR, CCPA, CPRA, and relevant industry standards. Proven expertise in data mapping, risk assessments, and conducting privacy audits. Excellent communication and stakeholder engagement skills across diverse teams. Certifications such as CIPP-E, CIPM, CIPT, CISSP preferred; Juris Doctor (JD) is a plus. Skills Required Deep understanding of IT, SaaS, and cloud provider compliance challenges. Solid knowledge of information security principles and best practices. Proficiency with privacy management tools like OneTrust for data mapping and assessment automation. Basic understanding of cookies and marketing technology systems. Ability to clearly articulate complex privacy and security concepts to both technical and non-technical audiences. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data with Zero Trust Data Security . Our platform leverages machine learning to secure enterprise, cloud, and SaaS data, helping organizations ensure data integrity, availability, risk monitoring, and rapid recovery from cyberattacks and operational disruptions.

Senior Information Security Analyst Data Governance Location: Bangalore, India About the Team The Information Security (InfoSec) team at Rubrik strengthens company-wide security through initiatives, tools, and processes that protect data and systems. They also oversee security monitoring, incident response, and educate employees on best practices to secure Rubrik s information assets. Role Overview This role focuses on data governance and security review throughout the Software Development Lifecycle (SDLC) to ensure sensitive data is properly protected. You will collaborate cross-functionally with Legal, Engineering, Product, and IT teams, while also supporting the Security Operations Center (SOC) with expert guidance on data governance during incident response. Key Responsibilities Perform data governance and security reviews during SDLC for new products and features. Manage and document metadata, including data lineage, ownership, and definitions. Conduct audits and assessments to ensure compliance with data governance standards. Maintain strong relationships and communication with internal stakeholders to facilitate governance adherence. Act as a subject matter expert for SOC, supporting incident response from a data security perspective. Support training and awareness programs on data governance policies and best practices. Develop and maintain governance documentation, policies, and procedures. Identify and escalate data governance risks with actionable recommendations. Experience & Qualifications Required: Bachelor s or Master s degree in Information Security, Data Analytics, or related field. 3 5 years in information security, data security, or data governance roles. Strong understanding of data security principles and frameworks (e.g., NIST). Excellent communication, presentation, and documentation skills. Project management skills to lead governance projects. Ability to adapt quickly and maintain professionalism in dynamic environments. Preferred: Certifications: CISSP, CISM, CDPSE, Security+ (or similar). Experience with data governance tools and metadata management. Knowledge of data privacy regulations: GDPR, CCPA, HIPAA. Experience supporting or collaborating with SOC/incident response teams. Strong analytical and problem-solving skills, especially with complex data. Familiarity with cloud-based data security solutions. Rubrik leads in Zero Trust Data Security , providing cutting-edge data protection across enterprise, cloud, and SaaS environments. This role offers an impactful chance to enhance data governance and security in a mission-critical, rapidly evolving tech company. Qualification : Bachelors or Masters degree in Information Security, Data Analytics, or related field.

Data Scientist Experience: 5+ Years Location: Bangalore, Karnataka, India Job Type: Full Time Job Summary We are seeking an experienced Data Scientist with over 5 years of expertise to join our innovative team in Bangalore. The ideal candidate will have hands-on experience in advanced statistical methods, machine learning, and deep learning frameworks, combined with strong skills in deploying models at scale. Key Responsibilities Apply advanced Statistics and Operations Research methods to solve complex business problems. Develop and deploy predictive and machine learning models using frameworks such as PyTorch, TensorFlow, Keras, and XGBoost. Utilize data engineering and big data tools including PySpark, Databricks, and Flask for building scalable data solutions. Implement and fine-tune NLP models like RNN, LSTM, and attention-based architectures, leveraging pre-trained models from Stanford, IBM, Azure, and OpenAI. Design and optimize efficient SQL queries to extract data from large databases. Work with visualization tools like D3.js, Dash Plotly, and deploy interactive dashboards using Streamlit. Utilize graph databases such as Neo4j for complex data relationships. Manage version control with tools like GitHub or Bitbucket. Deploy machine learning models into production environments using MLOps practices on cloud platforms such as AWS or Azure. Required Skills 5+ years of professional experience as a Data Scientist or similar role. Strong foundation in statistics, machine learning, and deep learning techniques. Proficient in Python-based data science libraries and frameworks. Hands-on experience with cloud-based MLOps and deployment. Excellent SQL skills for data extraction and manipulation. Experience with version control systems and collaborative development. Familiarity with NLP techniques and modern pre-trained language models. Strong problem-solving and communication skills. Qualifications Any graduate degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Join a forward-thinking company in Bangalore, where you will work with cutting-edge technologies to create impactful data-driven solutions. Grow your career in an environment that values innovation, diversity, and continuous learning.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Job Title: Senior Cloud Development Engineer Location: Bengaluru, Karnataka, India About Us: Cloud Software Group combines the capabilities of both Citrix and TIBCO, creating one of the world's largest cloud software providers, serving over 100 million users globally. By joining Cloud Software Group, you will make a significant impact, helping real people access the cloud-based products they rely on to get their work done from anywhere. Our team values passion for technology, the courage to take risks, and the empowerment of every individual to dream, learn, and build the future of work. This is an exciting time to bring your skills to the cloud and be a part of our evolving journey! About This Team: We are seeking a Senior Cloud Development Engineer to join our dynamic DaaS (Desktop as a Service) team. In this role, you'll work with cutting-edge cloud technologies to develop and maintain scalable, secure cloud services. You will be a key contributor to the Citrix DaaS Product Line, working alongside a talented team of engineers to build resilient microservices that power our customer-facing applications. Your work will directly influence the experience of customers and partners globally. Job Description: As a Senior Cloud Development Engineer, you will be responsible for: Back-End Development: Improve business logic, enhance existing features, and build new ones to support the Citrix DaaS product line. Collaboration: Work cross-functionally with teams to define, design, and ship new features that enhance the DaaS experience. Continuous Improvement: Research and evaluate new technologies to maximize development efficiency, with a focus on adopting Generative AI tools where applicable. Agile Methodology: Embrace agile practices such as Jira, SCRUM, SAFE, or Kanban to deliver high-quality products on time. Best Practices: Institute coding standards, including code reviews, integration testing, unit testing, logging, and instrumentation to ensure the robustness of the codebase. Troubleshooting: Understand and resolve field issues, performing root cause analysis and implementing preventive measures to improve performance and security in cloud environments. Required Experience/Skills: Bachelor's Degree (BE/BTech) in a technical field or equivalent work experience. 4+ years of relevant work experience in cloud development or software engineering. Strong understanding of computer science fundamentals, particularly algorithms and data structures. Excellent communication and collaboration skills to effectively discuss technical concepts with cross-functional teams. Strong problem-solving and troubleshooting abilities, with an emphasis on resolving performance and security issues in cloud environments. Preferred Qualifications: Development experience with .NET technologies such as C#. Scripting experience with languages such as Python or PowerShell. Familiarity with cloud computing technologies, including platforms like Microsoft Azure or Amazon EC2. Experience with Sumo Logic or Splunk for troubleshooting and monitoring in cloud environments. At Cloud Software Group, you're not just joining a company; you're becoming part of a team that values your contributions and encourages you to innovate. This is your chance to be a part of one of the largest cloud solution providers, working on cutting-edge technologies that impact millions of users globally. You ll have the opportunity to work in a fast-paced, collaborative environment where your skills are valued and developed. Equal Opportunity Employer: Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, gender identity, sexual orientation, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth, or any other protected classification. Qualification : Bachelor's Degree (BE/BTech) in a technical field or equivalent work experience.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Title: Deputy Manager Location: Bengaluru Role Overview: As a Deputy Manager responsible for Data Protection and Security, you will play a pivotal role in leading and managing data protection initiatives. You will oversee a range of security tools and processes, ensuring the effective implementation of DLP, data classification, and CASB solutions across a global organization. You will coordinate with internal and external stakeholders, manage teams, and contribute to the development and execution of enterprise-wide data protection strategies. Key Responsibilities: Stakeholder Coordination: Collaborate with both internal and external stakeholders to understand client requirements, processes, and governance guidelines, ensuring effective communication and relationship management. Leadership: Manage and lead a team of professionals, fostering strong leadership skills and creating a collaborative environment for continuous improvement. Data Protection Strategy: Lead cross-functional initiatives to advance the enterprise-wide data protection strategy, including risk-based application inventory, data classification, access and encryption controls, data discovery, and monitoring. Risk Management: Identify and manage data protection risks, proposing improvements to the enterprise data protection strategy, policies, processes, and tools. DLP and Data Protection Tools: Hands-on experience in managing and implementing Data Loss Prevention (DLP) solutions (e.g., Forcepoint), data classification tools (Microsoft AIP, TITUS, Klassify), and CASB solutions (Netskope) for 6000+ end users globally. Data Inventory & Reporting: Oversee the management and administration of data inventory tools, providing operational reports to management teams on the status and effectiveness of data protection measures. Policy Development & Implementation: Spearhead the design, implementation, and policy development for DLP platforms and CASB solutions, ensuring compliance with organizational and client-specific requirements. Endpoint Security & Intrusion Detection: Implement measures to detect and prevent intrusions using Endpoint, EDR (Endpoint Detection and Response) tools, and other security solutions. Security Program Expansion: Develop business procedures for DLP programs, recommend and implement expansions based on evolving business requirements, and ensure ongoing program improvements. Collaboration & Reporting: Collaborate with leadership to present findings, updates, and strategies for enhancing data protection initiatives. Desired Skills & Experience: Technical Expertise: Hands-on experience with DLP (Forcepoint), Data Classification tools (Microsoft AIP, TITUS, Klassify), and CASB (Netskope). Familiarity with file/email/endpoint encryption, data discovery, and data masking solutions. Experience implementing DLP and CASB standards across a large-scale global environment (6000+ users). Leadership & Management: Strong leadership skills with the ability to manage and mentor a team of professionals, ensuring project delivery and quality standards are met. Data Protection Strategy & Risk Management: In-depth knowledge of data protection strategies, risk management, and enterprise-wide data protection frameworks. Communication & Collaboration: Excellent communication skills with the ability to manage stakeholder relationships and work across multiple teams, ensuring alignment on data protection goals. Process & Policy Development: Experience in developing, fine-tuning, and implementing DLP policies, as well as working on continuous improvements in data protection practices. Security Tools & Practices: Hands-on experience with tools like Endpoint Detection and Response (EDR), DLP solutions, and CASB, with a focus on security program implementation and risk mitigation. Qualifications: Education: Bachelor's degree or equivalent in IT, Cybersecurity, or related fields. Experience: 5+ years of relevant experience in data protection, DLP implementation, and team management in a complex global environment. Certifications: Relevant certifications (e.g., CISSP, CISM, CISA, or equivalent) would be an advantage. Why Join Us: In this role, you will have the opportunity to shape and drive critical data protection initiatives across a large global organization. You will lead the implementation of cutting-edge solutions and be an integral part of a dynamic team focused on securing enterprise data and improving security frameworks. This role offers the chance to make a significant impact on the company s data security posture while also growing and mentoring a team of cybersecurity professionals. Qualification : Bachelor's degree or equivalent in IT, Cybersecurity, or related fields.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

Principal Architect Identity Management Experience: 14+ Years Education: Bachelor s Degree in Engineering (or equivalent) About Saviynt Saviynt is an identity authority platform that empowers organizations to secure and manage digital access while enabling innovation. As businesses navigate digital transformation and increasing cyber risks, Saviynt s Enterprise Identity Cloud provides unparalleled visibility, control, and intelligence to protect users while ensuring seamless access to essential tools and technologies. Role Overview As a Principal Architect Identity Management, you will be responsible for designing, deploying, configuring, and implementing Saviynt s leading Identity Governance (IGA) solutions based on customer requirements. You will provide technical leadership, consulting expertise, and industry best practices to ensure seamless solution deployment while mentoring junior engineers. Key Responsibilities Strategic Leadership & Solution Architecture Provide thought leadership on IGA solutions, with a specific focus on Saviynt s technology. Develop best-in-class solutions that align with customer functional and non-functional requirements. Serve as a trusted advisor to customers, offering consulting expertise and strategic guidance. Deployment & Implementation Architect, design, and deploy Saviynt s Identity Governance solutions. Lead implementation and integration of Saviynt with critical applications and infrastructure. Ensure compliance with approved lifecycle methodologies, documentation standards, and testing protocols. Troubleshoot and resolve technical issues through debugging, research, and investigation. Collaboration & Technical Oversight Engage directly with customers, ensuring their success through expert guidance. Provide technical oversight and mentorship to mid-level and junior engineers. Train and develop top talent to become Saviynt technology experts. Collaborate with operations and product engineering teams to advocate for new features. Pre-Sales & Business Development Support Offer technical pre-sales support for direct and partner sales teams. Provide real-world expertise in creating solutions, proof of concepts, and implementations. Conduct competitive research to address and dispel customer objections effectively. Contribute to RFP responses and proposals as needed. Process Improvement & Compliance Ensure high-quality solution delivery within the defined timeline and budget. Stay updated with industry best practices, standards, and cybersecurity trends. Adhere to Saviynt s security & privacy policies (Data Classification, Access Control, Incident Response, etc.). What You Bring 14+ years of experience in Identity Governance & Access Management (IGA/IAM). Expertise in User Lifecycle Management, Provisioning, Reconciliation, Access Certification, SOD, and Cloud Security. Strong knowledge of Java/J2EE, SQL, REST/SOAP Web Services, and Directory Services. Experience in solution architecture, customization, and deployment of Identity Management products. Hands-on experience in direct customer interaction, consulting, and advisory roles. Strong technical presentation and communication skills. Proven problem-solving and analytical skills. Experience in pre-sales, RFP responses, and proposal writing. Preferred (Good to Have): Cybersecurity certifications: CISSP, CISA, CISM, CompTIA Security+, CEH, etc. Saviynt or equivalent IGA product certification. High-growth, Platform-as-a-Service (PaaS) company revolutionizing identity security. Tremendous learning opportunities through challenging yet rewarding projects. Collaborative & inclusive work environment where your impact is valued. Work with some of the world s leading enterprises on cutting-edge IAM solutions. Saviynt is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, disability, or veteran status. If you're an experienced IAM Architect with a passion for customer success and innovation, we d love to hear from you! Qualification : Bachelors Degree in Engineering (or equivalent)