Performance Modeling Jobs in Bengaluru

Senior Web Application Developer - Front End Developer Location: Bengaluru Job Type: Full-time Responsibilities As a Senior Web Application Developer, you will play a pivotal role in engineering cutting-edge frontend frameworks, platforms, visualizations, and dashboards to deliver a fluid and seamless user experience. Core Development Engineer advanced frontend frameworks and platforms for visualizing complex data, ensuring a top-notch user experience. Collaboration & Visualization Work closely with backend engineering teams to extend product value and virtualize thousands of moving assets as creative UI/UX elements. Build applications to visualize real-time complex data patterns and ensure world-class interfaces and APIs. Design & Architecture Architect modular, high-performance applications and frameworks. Ensure stability and performance through test-driven development, integration, and stress testing. Project Ownership & Stakeholder Interaction Lead projects aimed at enhancing team efficiency and driving modernization. Interface directly with project and product stakeholders, facilitating UAT and incorporating feedback. Requirements Education: Bachelor s degree or higher in Computer Science, Engineering, or equivalent experience. Experience: Minimum 5 years of hands-on experience in frontend development. Technical Skills: Proficiency in JavaScript (5+ years), React.js (3+ years), HTML, CSS, and D3.js. Experience with modern build systems (Webpack, Babel, etc.). Communication: Excellent written and verbal communication skills with a fast execution mindset. Bonus Skills Experience with Google Maps and other cloud APIs. Understanding of SQL database design and modeling. At Intellicar, we encourage a culture of continuous learning and skill development. You'll have opportunities to grow as part of a collaborative team, work with cutting-edge IoT technologies, and contribute to impactful projects in the EV and IoT industry. Leadership fosters inclusivity and respect, creating an atmosphere where every voice is heard. Qualification : Bachelors degree or higher in Computer Science, Engineering, or equivalent experience

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

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)

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

Job Title: AI/ML Engineer Location: Bangalore Experience: 4 5 Years Qualification: Bachelor s or Master s Degree in Computer Science or a related field Job Description Design and develop machine learning and deep learning systems tailored to business needs. Select and preprocess appropriate datasets; implement and optimize ML algorithms. Conduct machine learning experiments, run tests, and perform statistical analysis to fine-tune models. Train, retrain, and maintain ML systems to ensure accuracy and performance. Extend and customize existing ML libraries and frameworks. Stay updated with the latest research and advancements in machine learning and AI. Requirements Proven experience as a Machine Learning Engineer or similar role. Strong understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms relevant to ML. Proficiency in writing clean, robust code in Python. Experience with ML frameworks such as TensorFlow or PyTorch, and libraries like scikit-learn. Skilled in deploying ML models and developing APIs for production environments. Experience with AWS cloud and ML services; knowledge of SageMaker is a plus. Qualification : Bachelors or Masters Degree in Computer Science or a related field

Job Title: Senior Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Professional About BetaNXT BetaNXT is powering the next generation of connected wealth management infrastructure. By integrating our proven platforms Beta, Maxit, and Mediant we deliver real-time data solutions that enhance advisor productivity, streamline enterprise operations, and elevate the investor experience. Our platform helps wealth management firms transform their legacy systems into scalable, future-ready solutions that drive differentiation and growth. About the Role We are seeking a Senior Specialist Software Engineering to join our Product Engineering team. This is a key technical leadership role for someone passionate about enterprise integration, legacy modernization, and delivering high-performance, scalable systems. You will work closely with architects, product managers, and cross-functional teams to design and implement critical enhancements across our platform, playing a key role in shaping our strategic initiatives. Key Responsibilities Lead software design & development of complex enterprise components aligned with business and technical goals. Collaborate with Solution Architects to define scalable, maintainable solutions. Provide technical oversight through the software lifecycle design, development, testing, and integration. Define and execute testing strategies: unit, integration, and performance. Drive code quality and reliability through proactive issue resolution and continuous improvement. Create and maintain technical documentation to ensure long-term maintainability. Ensure adherence to development best practices, internal standards, and compliance. Serve as a technical SME and point of contact for assigned domains. Mentor junior engineers, promoting skill development and knowledge sharing. Coordinate with QA, documentation, deployment, and support teams to ensure successful delivery. Participate in project planning, provide effort estimates, and contribute to work breakdown. Communicate effectively with technical and non-technical stakeholders, including senior leadership. Contribute in Agile/SCRUM teams, supporting sprint ceremonies and cross-functional collaboration. Maintain timely updates, raise risks early, and help drive resolution. Required Qualifications & Experience 10+ years of hands-on experience in Enterprise Application Integration and Mainframe Development. Expertise in COBOL, JCL, CICS, DB2, VSAM, and environments like CICS Web Services & Transaction Server 3.1. Proficient in integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) MQ Series, IBM DataPower Familiar with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Experience with JCL utilities, ChangeMan, and version control tools like GIT. Skilled in unit testing, code quality, and design documentation. Understanding of performance metrics: CPU usage, response time, network latency, etc. Knowledge of API modeling and annotation tools: Swagger, RAML. Familiarity with XML, XSD, XPath, XQuery, JSON. Experience working in Agile/SCRUM development environments. Strong analytical, communication, and cross-functional collaboration skills. Bachelor s degree in Computer Science, Information Science, or a related field. Master s degree or certifications (e.g., IBM, Agile) are a plus. Join a company transforming the wealth management technology landscape. Work on mission-critical systems that power financial operations at scale. Collaborate with industry leaders and technical experts in a fast-paced environment. Contribute to modernization efforts that directly impact advisor and investor experience. Thrive in a culture that values innovation, integrity, and continuous improvement. Qualification : Bachelors degree in Computer Science, Information Science, or a related field

Job Title: Lead Associate Software Engineering (Database Developer) Location: Bengaluru Type: Full-Time Level: Senior Database Developer About BetaNXT BetaNXT is shaping the future of connected wealth management infrastructure, delivering real-time data capabilities that improve advisor productivity, reduce operational costs, and enhance the investor experience. Leveraging the combined power of Beta, Maxit, and Mediant, our solutions tackle complex integration challenges and modernize platforms for scalability, agility, and growth. We help wealth management firms turn legacy platforms into differentiating assets. About the Role We are looking for a Senior Database Developer to join our Product Engineering team as a Lead Associate Software Engineering. In this role, you will play a critical part in designing, developing, and optimizing enterprise-grade database solutions to support our next-generation wealth management platform. This position is ideal for a detail-oriented and performance-focused database professional who thrives in a collaborative Agile environment and is passionate about building scalable, reliable data systems. Key Responsibilities Design, develop, and maintain complex SQL queries, stored procedures, triggers, and database scripts. Analyze and optimize database performance, ensuring scalability and efficiency. Develop and maintain SSRS reports, support ETL processes, and collaborate on SSIS packages. Work closely with application developers to ensure seamless database integration and data flow. Perform in-depth data analysis to support business and product requirements. Partner with QA teams to validate data integrity and support testing cycles. Conduct unit testing and developer-level validation to ensure quality before release. Participate in daily Scrum meetings and Agile ceremonies to coordinate development efforts. Troubleshoot and resolve complex technical issues related to data and performance. Document all development work to support maintainability and knowledge sharing. Required Qualifications & Experience Experience: 7+ years of hands-on experience in SQL database development in enterprise environments. Technical Skills: Advanced SQL development skills, including writing and optimizing complex queries and stored procedures. Proficiency in T-SQL (preferred), with acceptable expertise in PL/SQL or equivalent SQL dialects. Experience with SSRS (SQL Server Reporting Services), SSIS, and ETL processes. Strong data modeling, data analysis, and database design capabilities. Hands-on experience in performance tuning and query optimization techniques. Working knowledge of AWS services such as S3, SSM, and DynamoDB is a plus. Soft Skills & Collaboration Strong problem-solving and analytical thinking skills. Excellent verbal and written communication skills. Ability to work collaboratively across cross-functional Agile teams. Highly organized, detail-oriented, and self-motivated. Contribute to a platform backed by industry innovation and 11 technology patents. Help shape the future of real-time data and wealth management systems at scale. Collaborate with a high-impact, global engineering team in a dynamic, fast-paced environment. Thrive in a company culture that values growth, curiosity, and collaboration.

Position: Manager FMRTS CT Location: Bengaluru Experience Required: 5 10 years Department: Operations About the Role: We are seeking a highly analytical and results-driven Manager FMRTS CT to lead key operational excellence initiatives across sort centers in the West region. This role focuses on improving throughput, optimizing workflows, and ensuring process adherence across the end-to-end supply chain. The ideal candidate should possess strong cross-functional leadership, data-driven decision-making, and project management skills. Key Responsibilities: Increase core Throughput Per Hour (TPH) in sort centers through layout standardization and implementation of Zone-Based Palletization (ZBP). Develop and apply mathematical models to optimize load balancing across belts, reducing defects and improving productivity. Own and drive compliance programs such as signage standardization, WIKI documentation, Guard Shack (GS) protocols, and Grace Time Truck Departure (GTTD). Analyze and improve sort center quality metrics; conduct deep dives for underperforming sites and collaborate with cross-functional teams (Operations, Linehaul, Analytics, Safety & Loss Prevention) to meet performance targets. Build and maintain a sortation path planning tool to ensure Long-Term Planning (LTP) is adhered to at the site level. Conduct Time & Motion studies to identify and eliminate non-value-adding activities, improving overall package throughput time. Partner with teams across Category Sourcing, Logistics, Warehousing, Last Mile, Finance, Tech, Warranty, and After-Sales (AFS) to ensure seamless process execution from procurement through to delivery. Address daily operational challenges and strategic issues by working closely with leadership teams across business functions. Lead and manage cross-functional project teams, set milestones, and ensure timely execution of Supply Chain Excellence initiatives. Establish data-driven process controls, tooling requirements, and audit mechanisms to ensure consistent process adherence. Drive adoption of new tools and operational playbooks, ensuring governance, compliance, and best practice implementation. Assess business and technical risks, manage escalations, and maintain a balance between operational needs and technical constraints. Investigate complex sourcing and supply chain challenges, design scalable solutions, and collaborate with engineering and stakeholder teams for implementation. Leverage analytics and technology to lead cross-functional coordination, resolve operational bottlenecks, and drive continuous improvement. What You Bring: 5 10 years of experience in operations, supply chain, or logistics, preferably within e-commerce or high-volume distribution environments. Proven experience in process optimization, data modeling, and performance analysis. Strong knowledge of warehouse/sort center operations and tooling systems. Demonstrated ability to manage cross-functional teams and deliver complex projects end-to-end. Excellent problem-solving, communication, and stakeholder management skills. Proficiency in data analysis tools and methodologies is a strong plus.

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

SQL Developer Team Lead (8 12 Years) | Bangalore (Work from Office) Location: Bangalore (Onsite) Experience: 8 to 12 Years Employment Type: Full-time About the Role We are looking for a SQL Developer Team Lead to join our fast-growing engineering team in Bangalore. In this leadership position, you will be responsible for managing a team of SQL developers, designing scalable data architectures, and optimizing high-performance queries and stored procedures. This is an exciting opportunity to work on large-scale enterprise applications that power the real estate and construction industry through our flagship platform, In4Suite . Key Responsibilities Lead, mentor, and manage a team of SQL developers, driving technical excellence and collaboration. Develop and optimize complex T-SQL stored procedures, triggers, functions, and SSIS packages. Design reusable and scalable database schemas for multi-tenant architecture across customers. Perform performance tuning and query optimization for large datasets. Maintain and evolve the data dictionary and metadata documentation. Work on Microsoft SQL Server 2012 and above for server-side database development. Ensure adherence to coding standards and best practices for SQL development. Conduct regular code reviews, QA checks, and validation of data exports and reports. Collaborate with cross-functional teams in a Scrum/Agile environment. Troubleshoot and resolve complex SQL/database-related issues independently. Required Skills Strong hands-on experience with Microsoft SQL Server (2012 and above). Expert-level knowledge in T-SQL programming and SSIS (SQL Server Integration Services). Proven track record in data modeling, schema design, and multi-tenant architecture. Skilled in query optimization, performance tuning, and analyzing execution plans. Solid understanding of database best practices, indexing strategies, and stored procedure optimization. Experience managing a high-performing development team in a product-based environment. Preferred Skills Familiarity with .NET code and jQuery is a plus. Experience with SSRS (SQL Server Reporting Services) for report generation. Exposure to Database Administration (DBA) tasks such as backups, indexing, and monitoring. Working knowledge of Agile project tracking tools and collaboration platforms. Educational Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. 8 to 12 years of relevant industry experience in SQL development and database leadership roles. Soft Skills & Team Culture Fit Strong leadership qualities with a team-first mindset. Excellent written and verbal communication skills. Highly analytical with a proactive problem-solving attitude. Eager to mentor and support junior team members. Committed to continuous learning and knowledge-sharing. Benefits of Working with In4Velocity Flexible working hours Continuous learning & professional development opportunities Medical and insurance coverage Work with a fast-growing enterprise software company Collaborative and inclusive team culture About In4Velocity Founded in 2004, In4Velocity is a market leader in providing technology solutions for the real estate, construction, and infrastructure sectors. Our flagship product, In4Suite , is an end-to-end ERP platform that helps real estate developers streamline operations and make data-driven decisions through a single, unified system. Trusted by clients globally, In4Suite eliminates the need for multiple disjointed tools by combining project management, sales, finance, procurement, and CRM into one powerful ecosystem. With unmatched support, intuitive design, and deep business intelligence capabilities, In4Suite is the platform of choice for digitally transforming real estate businesses. Apply now and become part of a pioneering technology company redefining real estate management. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

Role: Senior Delivery Leader / Practice Head Experience: 12 to 15 years Education: B.E / B.Tech / M.Tech in Computer Science, Information Technology, or equivalent Key Responsibilities: Project Leadership: Lead and successfully deliver new and complex projects. Directly oversee project delivery, ensuring adherence to scope, timelines, and quality. Conduct regular project reviews to assess progress, risks, and client satisfaction. Technology Practice Leadership: Build and scale a technology practice, driving innovation and digital capability development. Lead technical initiatives and build cutting-edge solutions that create value for customers. Drive automation in project delivery and create reusable IPs. Client Relationship Management: Act as a trusted advisor to client CIOs and senior stakeholders. Manage relationships across the pre-sales and post-sales lifecycle to drive client success. Manage and deliver superior value to key accounts, ensuring client satisfaction and retention. Thought Leadership & Innovation: Identify emerging industry needs and proactively design exceptional solutions. Bring innovative ideas to the table, identifying opportunities others may miss. Author whitepapers, present at conferences, and publish technical blogs to strengthen HashedIn s brand. People Leadership & Capability Building: Coach and mentor teams, providing clear direction and ownership. Develop the architecture and technology skills of the team, fostering a high-performance culture. Help define career paths and actively support team members' growth and progression. Desired Profile: Education & Experience: Engineering graduate (CS/IT) B.E/B.Tech/M.Tech. 12-15 years of hands-on experience in Java/JEE technologies such as Struts, JSF, Spring, EJB, JMS. Key Technical Skills: Java/J2EE expertise with a strong focus on performance engineering. Solid understanding of end-to-end technical architecture for large-scale systems. Experience reviewing existing architectures and identifying risks, trade-offs, and optimizations. Architectural and Cloud Expertise: Knowledge of infrastructure sizing, capacity planning, performance modeling, and cloud computing (AWS/Azure/GCP). Performance optimization experience across popular application servers like WebLogic, WebSphere, JBoss, with deep expertise in at least one. Technical Documentation & Tools: Skilled in creating/reviewing technical documents like Architecture Blueprints, Design Specs, Deployment Architecture, and Workload Models. Experience with performance testing tools such as Apache JMeter, HP LoadRunner, or MS VSTS Load Test. Broader Technology Exposure: Exposure to Agile methodologies and CI/CD tools. Experience with Big Data/Analytics platforms like Apache Kafka, Storm, Hadoop, or libraries like Libuv (Node.js). Leadership & Business Acumen: Proven track record in building technology teams from the ground up. Strong pre-sales experience, with a key role in winning new business alongside the sales team. Consultative mindset, with the ability to understand complex enterprise environments and propose tailored solutions. Effective in working within a multicultural environment and managing diverse teams. Strong communication, presentation, and interpersonal skills. High energy, with the ability to thrive under pressure and navigate ambiguity. Industry Awareness: Up-to-date with latest technology trends and evolving industry challenges. Demonstrated ability to handle complex, multicultural projects in dynamic environments. Strong professional and personal integrity, with the assertiveness to present clear points of view.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Job Overview: The Architecture and Technology Group (ATG) at Arm develops technologies and products for Arm s future architecture roadmap. In ATG, we are developing world-leading Secure CPU and System architectures and associated technologies; enabling our ecosystem to build compelling products. Along with the architecture definition, ATG develops products to confirm compliance to the architecture. The ATG team located in Bangalore develops a product called Architecture Compliance Kits (ACK) that are delivered to multiple internal and external CPU design teams to validate that Arm architecture CPU implementations are compliant with the Arm architecture. You will learn Arm Architecture and apply it along with hardware and software verification skills to develop products for verifying the Architecture. You will develop good engineering and technical skills, and a fair understanding of CPU architecture and microarchitecture. You will connect with a wide range of teams within ATG, architects, and with our external partners. In this role, you will also develop solutions for future Arm architecture developments and influence the product offering. Responsibilities: Technical expertise, understanding architecture definitions, carrying out investigations and feasibility studies, defining and developing verification strategies, and contributing to the development of compliance products. Design verification test plans and test cases in assembly, C, HVL, and higher abstraction languages using automation techniques as needed. Strong and continuous communication on deliveries and risks, ensuring that all engineering commitments are delivered successfully. Drive efficiency improvements through adoption of the right development flows and methodologies. Excellent verbal and written communication skills. Required Skills and Experience: B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering. 8+ years of verification experience (CPU/complex IP verification is a plus). Strong understanding of computer architecture. Proficiency in logical programming using C/C++/Assembly with experience in adopting software engineering best practices. Nice To Have Skills and Experience: Experience in CPU verification would be a plus. Knowledge of x86 or Arm processor architecture. We are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to surpass ordinary and craft outstanding products and careers. In Return: We promise you endless opportunities to experiment and go even further in hardware! From architecture definition to complex core implementation to full custom physical IPs, here you'll have our backing to push limits in vital areas. #LI-KR2 Qualification : B.Tech/B.S. or M.Tech/M.S./PhD in Computer Engineering, Computer Science, or Electronics Engineering.

Job Title: Sr. Engineering Manager - Data Engineering Level: L5 Experience: 13-16 years Overview We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs. Key Responsibilities Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning. Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale. Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability. Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact. Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources. Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency. Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines. Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies. Required Skills 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role. Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms. Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery. Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design. Hands-on experience with Python or Java for data processing and automation. Knowledge of data governance, compliance standards, and data security best practices. Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel. Preferred Skills Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with CI/CD pipelines and DevOps practices within data engineering. Experience working with BI tools like Tableau or Power BI, and reporting integrations.

Job Title: SAP HANA DBA/Developer Experience: 4+ years (including 2+ years specifically on SAP HANA Cloud/On-Prem) Why Ness At Ness, we recognize that our people are our greatest asset. Our success as one of the world s leading technology companies is driven by our employees professionalism, innovation, teamwork, and dedication to excellence. As part of the Ness team, you will have the opportunity to work on cutting-edge products and platforms for some of the most innovative software companies globally. Ness offers exciting and challenging projects across diverse industries and a collaborative work environment with forward-thinking professionals. Our core values rigor, innovation, and partnership guide our day-to-day operations and customer interactions. Skill Set & Key Requirements 4+ years of overall experience, with at least 2 years focused on SAP HANA (Cloud/On-Prem) as a DBA or Developer. Expert knowledge of HANA database architecture, including SDI/SDA (Smart Data Integration/Smart Data Access). Strong experience in scripting languages, data modeling, and automation tools. Proven expertise in SQL performance optimization and database tuning. Hands-on experience in User & Role management for HANA (or other SAP products). Experience working in multi-layer environments and strong understanding of transport mechanisms (Code lifecycle management). Flexibility and willingness to work across multiple technologies and platforms. Preferred (Good to Have) Experience with ETL tools/technologies and ETL administration. Basic understanding of SAP BTP (Business Technology Platform). Strong analytical and debugging skills for complex issues. Ability to document processes clearly and effectively. Proactive approach with a mindset to own topics and share knowledge within the team.

Data Engineer Role Overview We are looking for a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. You will work closely with data scientists, analysts, and engineers to ensure efficient data processing and storage solutions that support business intelligence and analytics needs. This role requires expertise in SQL, big data technologies, and cloud platforms to build and optimize data workflows. Key Responsibilities Data Pipeline Development & Optimization Design and build scalable ETL/ELT processes for structured and unstructured data. Develop and maintain data ingestion frameworks to handle large datasets efficiently. Ensure data integrity, consistency, and security across multiple sources. Database & Data Warehouse Management Develop, optimize, and maintain relational and NoSQL databases. Implement data modeling best practices for performance and scalability. Work with cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Big Data & Cloud Technologies Leverage big data tools (e.g., Spark, Hadoop, Databricks) for data processing. Work with cloud platforms (e.g., AWS, Azure, GCP) to build and optimize data solutions. Develop real-time and batch processing workflows. Collaboration & Documentation Work closely with data scientists, engineers, and business teams to understand data requirements. Document data pipelines, architecture, and workflows for scalability and maintenance. Required Qualifications & Skills Technical Expertise: Strong experience with SQL and Python for data processing. Proficiency in ETL/ELT frameworks and data integration techniques. Hands-on experience with big data tools (e.g., Apache Spark, Hadoop, Kafka). Cloud & Database Management: Expertise in cloud data platforms (Azure, AWS, GCP). Experience with data warehousing solutions (Snowflake, Redshift, BigQuery). Understanding of data governance, security, and compliance. Performance Optimization & Troubleshooting: Ability to optimize SQL queries and improve data processing efficiency. Experience troubleshooting complex data pipeline issues. Apply Now & Be Part of an Innovative Data Team!

Experience Level: 4+ years (Bachelor s), 3+ years (Master s), or 2+ years (PhD) Preferred Domains: Embedded Systems, Mobile, IoT, Automotive General Summary: We are seeking a highly skilled Systems Engineer with experience in post-silicon validation, system modeling, and power-performance optimization. The ideal candidate will work on cutting-edge embedded systems with a focus on CPU, GPU, and AI workload performance. This role offers an opportunity to collaborate with cross-functional teams to optimize SoC performance and contribute to next-generation product innovations. Preferred Qualifications: Experience in as many of the following areas is desirable: Embedded Systems & Mobile/IoT/Auto Domains: Hands-on experience with complex embedded systems and SOC performance. Post-Silicon Validation: System validation, performance analysis, and feedback to influence future product development. Power & Performance Analysis: Analyzing power-performance data for various CPU, GPU, and AI workloads/benchmarks. System Modeling & Profiling: Expertise in power/performance use cases, SOC profiling, PPA tradeoffs, and product qualification. CPU Microarchitecture: Knowledge of cache, latency, bandwidth analysis, and optimization. Linux/Android Kernel Development: Experience with device driver development, Android architecture, and system programming. Power Optimization: Experience with DVFS/DCVS governors and power management at the system level. Hands-On Lab Experience: Familiarity with DAQs, oscilloscopes, JTAG, ARM Developer Studio, and power data acquisition. Automation & Scripting: Proficiency in Python, shell scripting, ADB shell, and automation environments for Linux/Android systems. Collaboration & Leadership: Ability to work with internal teams and external partners for analysis and optimization. Acts as a tech lead and provides guidance to engineering teams. Tools & Version Control: Exposure to Git, Jira, Android, and QTI tools. Key Responsibilities: Perform post-silicon validation of SoC performance and architecture. Analyze and optimize power-performance trade-offs in collaboration with architecture teams. Develop and enhance tools to assist in performance analysis and workload characterization. Drive power and performance optimization for CPUs, GPUs, and AI workloads. Provide technical leadership and guide teams on system-level optimization and validation. Collaborate with internal and external teams to achieve performance goals. Minimum Qualifications: Bachelor s degree in Engineering, Information Systems, Computer Science, or a related field and 4+ years of relevant experience. Master s degree in Engineering, Information Systems, Computer Science, or a related field and 3+ years of relevant experience. PhD in Engineering, Information Systems, Computer Science, or a related field and 2+ years of relevant experience. Skills: Strong understanding of computer architecture and OS fundamentals. Excellent communication and presentation skills. Ability to manage tasks independently and work in a fast-paced environment.