System Modeling Jobs in Bengaluru

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Associate Director Finance Location: Bangalore Experience Required: 15 25 Years Qualification: Chartered Accountant (CA) Preferred Certifications: ACCA, CPA, CFA, CIMA Job Summary We are seeking a dynamic and experienced Associate Director Finance to lead our global financial operations. The ideal candidate will bring extensive financial leadership experience, particularly across international geographies, and a deep understanding of both Indian and global financial standards. This strategic role will support the company s growth trajectory by aligning financial management with business objectives while ensuring compliance, efficiency, and performance across all regions. Key Responsibilities Strategic Financial Leadership Develop and execute financial strategies to support global growth and business expansion. Partner with senior management to provide financial insights and recommendations for long-term profitability. Lead financial due diligence and integration in case of mergers, acquisitions, or market entries. Financial Planning & Analysis Drive budgeting, forecasting, and long-term financial planning across multiple geographies. Deliver accurate, timely consolidated financial reporting in compliance with international accounting standards. Monitor key financial metrics, analyze business trends, and identify cost optimization opportunities. Compliance & Risk Management Ensure compliance with tax laws, statutory regulations, and financial reporting requirements across jurisdictions. Liaise with external auditors, tax consultants, legal advisors, and regulatory bodies. Monitor and manage financial risk, currency exposure, and regulatory compliance. Treasury & Cash Flow Management Oversee global cash flow, liquidity management, and banking relationships. Optimize working capital, manage intercompany transactions, and implement transfer pricing strategies. Develop and execute funding strategies, investment policies, and capital allocation plans. Team Leadership & Process Improvement Lead and mentor finance teams across multiple locations to build a high-performance culture. Implement and enhance ERP systems (experience with ZOHO is a plus) and financial reporting tools. Establish scalable internal controls, automation, and process improvements for operational efficiency. Required Skills & Experience Chartered Accountant (CA) with 15 25 years of progressive financial leadership experience. Proven experience managing finance functions across geographies and multi-entity environments. Strong understanding of Indian and international accounting standards, tax regulations, and compliance requirements. Demonstrated success in strategic financial planning, cash flow optimization, and managing global teams. Proficiency in ERP systems (ZOHO preferred), financial modeling, and reporting tools. Excellent leadership, interpersonal, and stakeholder management skills. Preferred Qualifications (Added Advantage) ACCA, CPA, CFA, or CIMA certification. Experience in high-growth, multinational environments. Prior involvement in scaling finance functions for international expansion. Be part of a global organization with ambitious growth plans. Work closely with leadership in shaping financial strategy and operations. Lead transformative initiatives in a dynamic and innovation-driven environment. Competitive compensation and leadership development opportunities. Qualification : Chartered Accountant (CA)

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Electrical System Installation (ESI) Engineer Experience: 3 12 Years Location: Bangalore Role Overview: We are looking for an experienced Electrical System Installation Engineer / Technical Leader to support electrical harness design and installation projects, primarily in aerospace programs such as Airbus A320. This role requires managing design synchronization, modification processes, and ensuring compliance with Airbus design standards and processes. The candidate will work closely with cross-functional teams and design offices to deliver consistent, high-quality electrical system installations. Key Responsibilities: Coordinate and synchronize design activities with various design offices and project teams (e.g., DDMS projects) Manage the complete modification process from Change Request initiation to drawing delivery Establish and maintain design-related processes, methods, and tools to ensure full consistency and coherence Provide accurate and timely reporting to the Head of Project Support system installation design, follow-up, and validation checks Create and maintain drawing sets for Harness Design, Installation, VKE, Equipment Installation, Heater Installation, VU/VE Design Ensure compliance with Airbus installation rules and processes throughout the project lifecycle Qualifications: 3 to 12 years of hands-on experience in Electrical System Installation with strong DMU skills for harness modeling and installation analysis within A320/SA projects Good understanding of Airbus-specific tools and processes including Configuration Management, EHI Concept Design, Electrical Bracket Positioning, IP and UID proposals Experience in system installation design and support activities (design follow-up, installation checks) Knowledge of Functional Electrics (FE) including Configuration Management, Design, RDR & DQN instructions, and support on delivery checks is a plus Familiarity with Design Organization Approval (DOA) is advantageous Technical Skills: Expertise in Catia V5, VPM, PDMLink, PASS SSI / CCD, TAKSY, AIRINA, IPM4Legacy, and other Airbus customized tools Proficient in MS Office applications (Word, PowerPoint, Excel)

Job Title: Design Engineer Location: Bengaluru, Karnataka No. of Positions: 1 2 Industry: Home Automation & AV, Building Automation Joining: Immediate About EBSL Automat Pvt. Ltd. EBSL Automat is a leading provider of innovative home automation solutions, dedicated to enhancing everyday living through intelligent technologies. With a strong presence in the smart living and building automation industry, we offer an exciting and collaborative environment for engineering professionals to grow, innovate, and contribute to transformative projects. Position Overview We are looking for a Design Engineer with a passion for CAD modeling, automation, and system development. This role involves collaborating with engineering, drafting, and operations teams to develop accurate, efficient, and high-quality design solutions. If you're technically inclined, detail-oriented, and eager to contribute to cutting-edge smart automation systems, this opportunity is for you. Key Responsibilities Assist in the development and implementation of CAD modeling and drafting standards for consistent documentation and design. Collaborate with cross-functional teams to incorporate Design for Manufacturability (DFM) and Design for Assembly (DFA) into models and technical drawings. Continuously improve design automation processes to boost efficiency and accuracy. Support engineering operations with tools like spreadsheets, parts lists, BOM (Bill of Materials) generation, and calculation templates. Develop internal system procedures to maintain high-quality standards aligned with industry best practices. Document technical procedures, user manuals, and training materials. Provide technical training and support to team members when needed. Contribute to other engineering or development projects as assigned. Skills & Experience Must-Have: Bachelor's degree in Electrical Engineering or a related field. 1 4 years of relevant experience in industrial or design automation. Good verbal and written communication skills. Team player with the ability to work under tight deadlines. Strong attention to detail, creative problem-solving skills, and analytical thinking. Proficiency in CAD software and understanding of design principles. Experience with engineering tools, ERP systems, and MS Office Suite (Excel, Word, Outlook). Preferred/Good-to-Have: Experience in CAD automation or engineering application development (2+ years preferred). Ability to work as a full-stack developer (desktop, web, client platforms) is a plus. Passion for programming and self-driven learning. Ability to work in flexible shifts as required. Familiarity with home automation or building systems is advantageous. Who Can Apply Candidates with 1 4 years of relevant experience. Freshers with strong academic backgrounds and a passion for design & automation are also encouraged to apply. If you're looking to contribute to the future of intelligent living while advancing your engineering career, we invite you to be part of the EBSL Automat journey. Qualification : Bachelor's degree in Electrical Engineering or a related field

Position: Workato Developer Location: Remote/Hybrid | Bengaluru, IND We're seeking a highly skilled Workato Developer to join our team. If you have deep expertise in automation, APIs, and data integration, you'll be responsible for designing, developing, and maintaining robust integration and automation solutions using the Workato platform. Your work will be crucial in streamlining business processes and enhancing system interoperability. What You'll Do: Integration Development: Design, develop, and implement seamless integrations between various systems using the Workato platform, ensuring data consistency and accuracy across all platforms. Automation: Create and manage powerful automation workflows to optimize business processes, significantly reduce manual tasks, and improve overall operational efficiency. API Management: Work with RESTful and SOAP APIs to build integrations that connect both cloud and on-premises applications, enabling smooth and efficient data exchange. Workflow Orchestration: Design and implement end-to-end workflows that span multiple systems, ensuring smooth data flow and comprehensive process automation. Data Transformation: Develop and manage complex data transformations, mappings, and logic to ensure accurate data migration and synchronization across diverse systems. Monitoring & Troubleshooting: Proactively monitor the performance of integrations and automations, identifying and resolving issues quickly to ensure continuous reliability and optimal performance. Collaboration: Work closely with business analysts, IT teams, and other stakeholders to thoroughly understand integration requirements and translate them into effective technical solutions. Documentation: Create and maintain comprehensive technical documentation for integration designs, workflows, data mappings, and any custom scripts or configurations. Continuous Improvement: Stay updated with the latest Workato features, integration patterns, and best practices. Provide valuable recommendations to enhance existing integrations and workflows. What You'll Bring: Experience: 3+ years in integration development, with at least 1-2 years of hands-on experience specifically with Workato. Workato Expertise: Strong understanding of Workato platform capabilities, including connectors, recipes, triggers, and actions. API Proficiency: Proven experience with RESTful and SOAP APIs, including API design, development, and management. Data Integration: Solid knowledge of data integration best practices, ETL processes, and data synchronization techniques. Cloud & SaaS: Familiarity with major cloud platforms (e.g., AWS, Azure, Google Cloud) and common SaaS applications (e.g., Salesforce, NetSuite, ServiceNow). Problem-Solving: Strong problem-solving skills with the ability to troubleshoot complex integration issues. Scripting: Proficiency in scripting languages (e.g., JavaScript, Python) used in automation and integration contexts. Integration Concepts: Excellent understanding of system integration concepts, including data formats (JSON, XML), messaging patterns, and error handling. Collaboration & Communication: Ability to work effectively both independently and within a collaborative team environment. Strong communication skills to translate business requirements into technical solutions. Attention to Detail: Meticulous attention to detail and a strong commitment to delivering high-quality, reliable integrations. Education: Bachelor s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications: Certifications: Workato Automation Pro or equivalent certification. Other Platforms: Experience with other integration platforms like MuleSoft, Zapier, or Dell Boomi. Databases: Knowledge of database systems (e.g., SQL, NoSQL) and data modeling concepts. Agile Development: Familiarity with Agile development practices and tools like Jira or Confluence. Enterprise Systems: Experience in developing integrations for ERP, CRM, and other enterprise systems.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Senior Backend Engineer Innovation Team Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader using AI and data to transform industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Our award-winning platforms include Cognite Data Fusion and Cognite Atlas AI, driving industrial digital transformation worldwide. The Team & Role You ll join Cognite s Innovation Team working on batch processing applications for a key American emulsions industry client. This role focuses on backend development and data engineering to deliver scalable, robust solutions handling complex data workflows with multidisciplinary teams and global stakeholders. Key Responsibilities Architect and develop backend systems for complex batch data processing workflows with a focus on reliability amid inconsistent/incomplete data. Build resilient workflows handling multi-source data and minimizing system impact from component failures. Develop and optimize data models for domain-specific industrial problems. Create data transformation functions to extract actionable insights from raw data. Manage scalable distributed systems and ensure operational reliability. Collaborate cross-functionally to refine requirements and deliver solutions. Work with large datasets using SQL and NoSQL technologies. Troubleshoot full application lifecycle issues, from dev to production. Stay current on tech trends to innovate team practices. Strong backend development experience, distributed systems, and complex domain modeling. Proficiency in Python, SQL, and NoSQL databases. Experience with cloud-based architectures, automated testing, version control, CI/CD pipelines. Problem-solving skills, especially when data or context is incomplete. Self-driven, taking ownership from concept to deployment. Collaborative and excellent communicator, comfortable engaging global stakeholders. Bonus: knowledge of Data Science and Machine Learning. Diverse global team of 70+ nationalities with strong DEI focus. Modern Bengaluru office with hybrid work flexibility. Flat structure with direct leader access, minimal bureaucracy. Work on ambitious, impactful projects with leading tech experts. Active community engagement with partners and customers. Excited to build next-gen industrial data solutions with Cognite? Apply today and make an impact in a fast-growing, innovative SaaS company!

Principal Systems Development Engineer Thermal Controls Location: Bengaluru, India Team: Systems Development Engineering Company: Dell Technologies Role Overview As a Principal Systems Development Engineer specializing in Thermal Controls, you ll lead the design and validation of advanced cooling algorithms for Dell s server products, especially those geared towards AI, HPC, and enterprise applications. Your role bridges hardware, firmware, and software to deliver efficient, reliable thermal management systems and uncover innovation opportunities. Key Responsibilities Design, document, implement, and validate thermal control algorithms in collaboration with Dell s global systems management software and thermal teams. Debug and validate thermal control features on live server hardware. Set up and operate servers with varying configurations to test thermal control functionality. Diagnose and route field issues, contributing to resolution strategies. Develop or enhance automation tools to support thermal design and validation workflows. Essential Requirements 5+ years of industry experience in: Mechatronics Thermal controls Electronics cooling Hardware/firmware debugging Strong programming skills in Python, C, or similar languages. Familiarity with server systems: BIOS, CPLD, BMC, device drivers. Proficiency in Linux OS and strong understanding of general OS principles. Excellent debugging, problem-solving, and communication skills. Desirable Qualifications Bachelor s or Master s degree in: Computer Engineering Mechanical Engineering with a focus on controls or mechatronics Experience designing and implementing electronic cooling solutions (hardware to firmware). Proficiency with CAD tools (especially CREO) for mechanical and thermal design. You ll work on thermal control systems that enable the latest in AI and high-performance computing, shaping the future of Dell s data center and server technologies. Dell s engineering culture offers hands-on collaboration, career development, and the opportunity to lead innovations at the intersection of hardware, firmware, and software.

Data Scientist with GenAI-2 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Software Development Engineer II - Golang (Instamart Team) Location: Bangalore, Karnataka Full Time Experience: 3 - 5 Years Position Overview: As a Software Development Engineer II (SDE II) at Swiggy, you will play a pivotal role in owning the end-to-end design and architecture of complex systems within the Instamart team. You will co-own the technology vision of your team and contribute significantly to the success of the team s mission-critical applications. Partnering closely with product and business teams, you will translate product features and specifications into high-level and low-level designs, ensuring smooth execution and delivery. Key Responsibilities: Ownership of Design & Architecture: Own the end-to-end design and architecture of complex systems. Collaborate with teams to create scalable and maintainable solutions. Collaboration & Innovation: Partner with product and business teams to translate product specifications into technical designs, fostering continuous innovation. Best Practices: Establish and drive best practices within your team for efficient design and development. Technology Leadership: Lead discussions on code reviews, design reviews, and architecture discussions. Influence the adoption of new technologies and tools. Long-Term Technology Vision: Contribute to and implement the long-term technology vision for your team, ensuring sustainable growth and innovation. Tool & Technology Decisions: Decide the technology stack and tools for your team, taking ownership of these choices. Educational Background: B Tech/M Tech in Computer Science or equivalent from a reputed college. Experience: 3 - 6 years of experience in a product development company, specifically in designing and developing complex systems. Technical Expertise: Strong knowledge and application of algorithms and data structures, with a focus on space and time complexities. Programming Skills: Proficiency in Golang (mandatory), along with good understanding of object-oriented programming and design patterns. System Design: Strong design skills involving data modeling and low-level class design. Platform Expertise: Hands-on experience with databases and Linux/Unix platforms. Development Practices: Familiarity with SDLC in an agile environment and experience collaborating with cross-functional teams to drive on-time deliveries. Technical Aptitude: Strong technical aptitude and a solid understanding of computer science fundamentals. At Swiggy, you will be part of a high-performing team that is passionate about creating innovative products. As a Software Development Engineer II, you'll have the opportunity to drive technical leadership and innovation while contributing to building mission-critical applications. We offer a dynamic work environment where you can make an impact and grow in your career. Equal Employment Opportunity: Swiggy is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristic. Qualification : B Tech/M Tech in Computer Science or equivalent from a reputed college.

Senior Manager Business Finance (B2B Distribution) Location: Bangalore, Karnataka Work Mode: Full-time, In-office Experience: 4 7 Years About Swiggy Swiggy is India s leading on-demand convenience platform, delivering everything from food and groceries to daily essentials with a tech-first approach and logistics at scale. Operating in 500+ cities with a network of over 2 lakh delivery partners, Swiggy s ecosystem is built on cutting-edge ML technologies, robust analytics, and continuous innovation enabling seamless and reliable experiences for millions of users every day. About Our B2B Business Swiggy has acquired Lynk, a leading tech-driven distributor in the B2B FMCG space. Operating across major metros Chennai, Hyderabad, Mumbai, Ahmedabad, Bangalore, Delhi, and Kolkata Lynk is on a mission to redefine urban goods distribution using data-driven strategies and operational excellence. Role Overview We are looking for a highly motivated and strategic Senior Manager Business Finance to support the finance operations of our fast-scaling B2B distribution business. You will work directly with category, operations, and leadership teams to drive planning, budgeting, forecasting, financial analysis, cost optimization, and performance reporting. Key Responsibilities Lead financial planning activities, including annual budgeting, quarterly forecasts, and long-term strategic plans for the B2B vertical. Partner with category and sales teams to structure commercial proposals and optimize margin profiles. Drive target setting and performance reviews with business teams; conduct gap analysis and recommend course-correction strategies. Own and improve operational and financial MIS; ensure robust and timely reporting across key metrics. Work closely with operations to identify cost inefficiencies, drive savings initiatives, and enable sustainable unit economics. Support pricing and negotiation strategy using financial modeling and profitability frameworks. Automate reporting systems and dashboards using BI tools; leverage SQL for data extraction and transformation. Prepare financial insights and materials for leadership reviews, including variance analysis and strategic business cases. Desired Skills & Qualifications 4 7 years of post-qualification experience in business finance, FP&A, or strategic finance roles in high-growth environments. CA or MBA in Finance/Strategy from a reputed institution preferred. Strong business acumen and experience supporting B2B or distribution operations is a plus. Proficiency in data analysis tools and platforms; knowledge of SQL and BI dashboards preferred. Excellent interpersonal and communication skills with a track record of cross-functional influence. Self-starter mindset with a passion for continuous improvement and ownership. This is a high-impact role in one of Swiggy s most ambitious business verticals. You will work at the intersection of finance, strategy, and operations, enabling the next phase of growth for Swiggy s B2B ambitions. Equal Opportunity Employer Swiggy is an equal opportunity employer. We are committed to creating an inclusive environment for all employees regardless of race, religion, gender, sexual orientation, disability status, or any other characteristic protected by law. Qualification : CA or MBA in Finance/Strategy from a reputed institution preferred.

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Join Our Team as a Security Engineer Location: Bengaluru, India (On-site) Department: Global Information Security Reports to: Director of Information Security APAC At Cytiva, we are dedicated to advancing future therapeutics from discovery to delivery. As part of our Global Information Security Team, you ll work at the forefront of securing the systems, applications, and infrastructure that power critical healthcare solutions. Join us and play a key role in designing and implementing secure, resilient systems that ensure business continuity and safeguard our digital assets. What You Will Do Secure Architecture Design: Assist in developing and implementing secure architecture solutions for systems, applications, and infrastructure. Threat Modeling & Risk Assessment: Perform threat modeling and support security risk assessments to proactively identify vulnerabilities and mitigate potential threats. Design Reviews: Participate in security design reviews for applications and infrastructure across various environments, ensuring security best practices are followed. Security Technology Implementation: Deploy and manage enterprise security technologies, including Identity and Access Management (IAM), Data Loss Prevention (DLP), and Mobile Device Management (MDM). Regulatory Compliance: Ensure alignment with regulatory compliance and audit requirements, supporting the organization in maintaining secure, compliant systems. Who You Are Education: Bachelor s degree in Computer Science, Information Security, Cyber Security, or a related discipline. Experience: At least 5+ years of experience in security engineering or architecture, including expertise in threat modeling, risk assessment, and security architecture principles. Security Technologies: Hands-on experience with security technologies such as IAM, SIEM, EDR, DLP, and MDM. Cloud Security: Familiarity with cloud technologies (e.g., AWS, Azure, GCP) and cloud security best practices. Regulatory Compliance: Experience with frameworks and regulatory standards such as ISO 27001, NIST, and CIS Controls. Travel, Motor Vehicle Record & Physical/Environmental Requirements Travel: Ability to travel globally up to 10% of the time to support regional and global security initiatives. It Would Be a Plus If You Also Have: Experience conducting security design reviews for infrastructure, applications, and cloud environments. Expertise in implementing security standards and secure design patterns in alignment with frameworks like ISO 27001, NIST, and CIS Controls. Experience providing technical security advisory support to project teams, ensuring compliance with security and regulatory standards. Impactful Work: Your role directly influences the security and reliability of life-saving healthcare solutions used around the globe. Global Collaboration: Work with a diverse, dynamic, and global team of security experts dedicated to making a real difference. Career Development: Take advantage of opportunities for professional growth and continuous learning in a rapidly evolving industry. Apply now and join a global leader in advancing therapeutics and securing tomorrow s healthcare technologies. Qualification : Bachelors degree in Computer Science, Information Security, Cyber Security, or a related discipline.

Job Title: Security Engineer - II Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: Key Responsibilities: Conduct comprehensive threat modeling for applications, cloud infrastructure, and overall systems architecture. Perform secure code reviews and security assessments for web, Android, and iOS applications, with a strong focus on cloud infrastructure security. Proactively identify and mitigate vulnerabilities across platforms, collaborating with development and DevOps teams to implement secure solutions. Automate and streamline security processes, aligning with the principle that Complexity is the enemy of Security. Oversee Vulnerability Management and Patch Management processes, ensuring timely remediation. Design and implement robust security measures and contribute to Red Team activities, including assessments of cloud, network, wireless, physical, and social engineering scenarios. Take ownership of assigned tasks and drive the continuous improvement of security practices across the organization. Assist in setting up and maintaining monitoring systems to identify and respond to potential incidents in real time. Develop custom tools, scripts, and scanners to address unique security challenges and automate repetitive tasks. Provide architectural guidance for securing cloud-based applications and DevOps pipelines. Continuously stay updated on emerging security technologies and techniques, sharing knowledge with the team. Qualifications: 3-5 yrs experienced Sr security engineer. Expertise in cloud security (AWS, Azure, or GCP) with a strong understanding of securing applications and infrastructure in cloud environments. Proficiency in DevOps and DevSecOps practices, including secure CI/CD pipeline integration and automation. Strong knowledge of OWASP and SANS testing methodologies for identifying and mitigating security vulnerabilities. Good understanding of software security weaknesses, architecture vulnerabilities, and mitigation strategies. Hands-on experience in threat modeling, vulnerability assessments, and penetration testing. Proficiency in any scripting language - Python. Experience in developing or customizing tools, scanners, or extenders for specific security needs. Ability to work independently and collaboratively within a team to solve complex security challenges. Experience in implementing security monitoring systems for early incident detection. Strong problem-solving skills and the ability to think creatively to simulate attack scenarios. Certification in security-related fields (e.g., AWS Certified Security, CISSP, CEH, OSCP). Experience with container security and orchestration platforms like Kubernetes and Docker. Knowledge of Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Familiarity with modern DevOps tools (e.g., Jenkins, GitLab, Ansible). Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

Job Title: Global FP&A and Sustainability Analyst Location: Bangalore (with hybrid work model) Reporting to: Financial Planning & Analysis Manager (solid line) and Global FP&A team (dotted line) Work Model: Hybrid / Onsite (#LI-Hybrid, #LI-Onsite) About ABB At ABB, we are committed to addressing global challenges through innovation, collaboration, and sustainability. Our core values Care, Courage, Curiosity, and Collaboration along with our focus on diversity, inclusion, and equal opportunities, drive us to empower our employees and create impactful solutions for a better future. Role Overview We are looking for a proactive and analytical FP&A and Sustainability Analyst to join our Center of Excellence (CoE) team in India. In this role, you will act as a critical link between Finance and Sustainability functions, supporting the Global Business Area of Motion. You will be responsible for evaluating financial and sustainability KPIs, building and maintaining analytics dashboards, and acting as a business partner to Global Divisions and other functions. This is an exciting opportunity for a finance professional with a sustainability mindset to contribute directly to global initiatives, driving meaningful insights and improvements across the Motion business. Key Responsibilities Conduct financial analysis and validate data accuracy to support the financial reporting, planning, budgeting, and forecasting processes. Support business analytics processes by developing Power BI dashboards and other data visualization tools for internal stakeholders. Assist in ESG reporting for the Motion business area prepare reporting templates, aggregate data, and conduct data analysis to track sustainability performance. Collaborate closely with finance and sustainability teams across divisions, regions, and countries to drive alignment and ensure data accuracy. Actively participate in global initiatives and Finance/Sustainability projects, contributing insights and solutions from a local and global perspective. Provide additional finance and sustainability support during peak reporting periods, year-end, and special projects as needed. Qualifications & Experience Education: Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance). Full-time Finance Graduate background. Experience: Minimum 2+ years of professional experience in FP&A, finance analytics, or sustainability reporting. Strong interest in Sustainability and ESG reporting (additional certification or education in Sustainability topics would be advantageous). Technical Skills: Proficiency in Microsoft Office 365, especially Excel. Hands-on experience with Power BI (dashboard creation, data modeling, visualization). Understanding of end-to-end processes, systems, and data flows in Abacus Analyzer and ATLAS is preferred. Interpersonal Skills: Excellent communication and collaboration abilities. Strong team player with the ability to work independently towards defined goals. Exceptional attention to detail and strong organizational and multitasking capabilities. About ABB Finance ABB Finance is a trusted business partner, delivering forward-looking insights and sustainable long-term results, all while maintaining the highest standards of integrity and transparency. Our global Finance team plays a crucial role in enabling innovation and supporting ABB s transformation toward a more sustainable and efficient future. Work at the intersection of Finance, Sustainability, and Data Analytics. Be part of a global team driving sustainable transformation in a leading technology company. Collaborate across divisions and geographies, expanding your global network. Enhance your technical and analytical skills with exposure to cutting-edge tools and processes. Experience a culture that values diversity, innovation, and continuous learning. Qualification : Chartered Finance Qualification (CMA, CA, ACCA, or MBA in Finance).

About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build anywhere on the edge, on-premises, or across multiple cloud providers. With a global presence and over 175,000 developers joining MongoDB monthly, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview We are seeking passionate and skilled technologists to join our Pre-Sales organization, ensuring that our growth is strategically aligned with our platform s capabilities and our customers needs. As a Pre-Sales Solution Architect, you will guide customers in designing and implementing reliable, scalable systems using MongoDB s data platform. Our team consists of experienced software architects, entrepreneurs, and developers who take direct responsibility for customer success from software design to deployment and operations. You will collaborate closely with our sales team, playing a key role in securing deals and driving business growth. As a trusted advisor, you will work with a diverse range of clients, from startups to large enterprise IT organizations. If you d like to learn more about the role, explore the experiences of Veronica Tudor, Matt Kalan, and Winston Vargo on our Life at MongoDB blog. This role is based in our Bengaluru office as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: 10+ years of professional experience, including a strong background in software development. 3+ years of pre-sales experience with enterprise software solutions. Proficiency in at least two modern scripting or programming languages (e.g., Python, Node.js, SQL, C/C++, Java, C#). Hands-on experience with scalable and highly available distributed systems. Willingness to travel within the region, including international travel as needed. Preferred Qualifications: Experience selling databases or deploying applications with major cloud providers (AWS, Google Cloud, Azure). Familiarity with database programming and data modeling best practices. Key Responsibilities Design systems, applications, and infrastructure to support large-scale software development projects using MongoDB. Provide technical guidance on architectures, patterns, and best practices for leveraging MongoDB effectively. Support the sales team with technical discovery, demonstrations, proof of value, presentations, system sizing, and documentation of technical decision criteria. Translate technical concepts into business value for stakeholders, including executives and decision-makers. Act as a liaison between customers and MongoDB s Product Management team, providing field insights and feedback. Represent MongoDB at industry events, trade shows, and account-based marketing initiatives to drive demand. Mentor and support other pre-sales team members, sharing knowledge and best practices. Demonstrate situational awareness and adaptability in dynamic team environments. Learning & Development Opportunities Gain in-depth knowledge of MongoDB s rapidly evolving product suite, including: Core Database Server Atlas (fully managed cloud database service) Atlas Data Lake, Atlas Full-Text Search, Realm (Mobile Database), Charts Developer Tools & Connectors (Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark) Expand expertise in complementary technologies such as Apache Kafka and Kubernetes. Learn and apply modern architecture methodologies, including microservices, event-driven architectures, DevOps, and cloud security. Develop and refine sales techniques, including presentations, demonstrations, whiteboarding, discovery, and objection handling. Gain exposure to a diverse range of industries and real-world use cases. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter.

About Ansys For over 50 years, Ansys has been at the forefront of engineering simulation, empowering innovators across industries. From cutting-edge optics and photonics to sustainable energy solutions, our technology helps close the gap between design and reality. At Ansys, we cultivate a culture of excellence, collaboration, and growth. Join our Customer Excellence team and play a pivotal role in helping customers succeed with Ansys Zemax OpticStudio and other optical simulation tools. Role Overview As an Optics Technical Support Engineer, you will assist customers in integrating Ansys software into their workflows, resolving technical challenges, and improving their engineering simulations. You will apply your expertise in optics and optical system modeling to support customers worldwide, ensuring they achieve optimal results with Ansys Zemax OpticStudio. This is a customer-facing role that requires strong problem-solving, communication, and technical expertise in optical simulation. Key Responsibilities Customer Support & Technical Expertise Provide technical support for Ansys Zemax OpticStudio and other optics simulation tools. Troubleshoot complex optical modeling challenges and recommend solutions. Deliver high-quality, timely customer service to ensure customer satisfaction. Product & Process Improvement Identify and submit product improvement suggestions and file defect reports as needed. Participate in field testing of new software releases to validate features and workflows. Knowledge Sharing & Training Develop best practices documentation and technical content. Support sales and marketing efforts by conducting demonstrations, webinars, and training sessions. Cross-Team Collaboration & Strategic Initiatives Work closely with internal teams, including R&D, Sales, and Product Management. Engage in strategic projects to improve Ansys optics solutions. Required Qualifications & Skills Education & Experience: Master s degree in Physics, Optics, Optical Engineering, or a related field. 3+ years of experience in an engineering software environment (or PhD with no prior experience). Technical Expertise: Hands-on experience in optical system modeling and simulation. Proficiency in commercial optical design software (e.g., Ansys Zemax OpticStudio, Synopsys CodeV). Strong knowledge of optical theory and simulation techniques. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication skills in English (written & spoken). Ability to work independently and manage tasks efficiently in a distributed team environment. Customer Engagement: Experience in technical support, consulting, or customer-facing roles. Ability to translate complex technical concepts into clear and accurate solutions. Preferred Qualifications (Nice to Have) Programming & Automation: Familiarity with Python and/or MATLAB for optical simulations. Ansys Software Experience: At least 2 years of hands-on experience using Ansys Zemax OpticStudio. Customer-Facing Experience: Prior experience in customer support, technical consulting, or training. Travel Flexibility: Willingness to travel up to 10% of the time. Innovate & Impact Work on cutting-edge optics simulation technology. Career Growth Enhance your expertise in optical engineering & simulation. Collaborate & Lead Engage with industry experts & global customers. Inclusive Culture Be part of a company that values diversity & innovation. At Ansys, we are committed to helping customers succeed while pushing the boundaries of simulation technology! Apply Now & Be a Part of Ansys' Optical Simulation Excellence!