Engineering Manager Platform Migration Services Auth0 Salary India in India

JOB TITLE Reference Data Engineer A Career with point72’s Cubist TEAM Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Develop, test, and maintain software applications using .NET Full Stack technologies. Write clean, scalable, and efficient code in Python for various applications. Collaborate with cross-functional teams to define, design, and ship new features. Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions. Participate in code reviews and contribute to a culture of continuous improvement. Troubleshoot and resolve software defects and issues in a timely manner. Stay up to date with emerging technologies and industry trends to enhance skills and knowledge. What’s REQUIRED We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have: Bachelor’s or master’s degree in computer science, engineering, statistics or a related field. 3+ years of experience in .NET Full Stack development and Python programming. Basic understanding and practical experience with DevOps tools and methodologies. Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment. Eagerness to learn and adapt to new technologies and challenges. Commitment to the highest ethical standards. About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its inves

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Location : Coimbatore (Gandhipuram / Ganapathy / Saravanampatti / Saibaba colony / Thudiyalur / Kavundampalayam / Peelamedu / Pappanaickenpalayam / Thennampalayam / Arasur / Chinniampalayam / Neelambur / Sulur) Contact : 88702 66194 Industry : Engineering Industries / Telecom Sector Qualification : Any ITI / Diploma / Degree Male / Female Freshers / Experienced : 0 - 4 yrs Salary : 13000/- to 30000/- Positions:- 1. Telecallers / Back Office Female Experienced (15000/- to 18000/-) 1A. HR Managers / Senior HR Executives (25000/- to 30000/-) 1B. Accountants (Tally & GST) - Female (15000/- to 20000/-) 1D. Billing Clerks / Receptionists Male/Female (13000/- to 17000/-) 1C. Showroom In-charge / Sales Co-Ordinators (20000 25000/-) 2. System Operators - (Female) - 12000/- 2A. Quality Assistants / Office Assistants - (Female) : 12000/- 3. Data Entry Operators - (Female) -12000/- to 14000/- 4. Accounts Assistants - (Female) - 12000/- to 15000/- 5. Admin Staff / Office Executives - (Female) - 12000/- to 15000/- 6. Customer Support Executives - (Female) - 12000/- to 15000/- 7. Showroom In-Charge - (Female) - 20000/- 8. Sales Co-Ordinators - (Female) - 16000/- 9. HR Executives / HR Co-Ordinators - (Male) - 15000/- to 18000/- 10. Field Supervisors (Male/Freshers) 18000/- 11. Marketing / Business Executives - (Male) - 18000/- to 25000/- 12. Store Keeper / Warehouse Executives - (Male) - 12000/- 13. Machine Operators / Helpers / Assistants - (Male) - 20000/- 14. Quality Assistants / Quality Inspectors - (Male) - 20000/- 15. Cylindrical Grinding Operators - (Male) - 25000/- to 35000/- 16. Design Engineers / CAD Engineers - Mech (Male) - 13000/- to 25000/- 17. CMM Operators - (Male) - 15000/- to 22000/- Timing : 9.30AM 6.30 PM Sunday Holiday Contact : 88702 66194

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

Qualifications & Experience 8+ years of work experience required with a minimum of 4 years in a product management role. Product Craft: Designing and shipping software consumer facing products. Stakeholder Management: Work closely with Engineering and Business to drive the product roadmap. Ability to organize, manage, prioritize and take tradeoff calls while working with engineering and other stakeholders. Cutting Edge: Be in the know of product/business trends within and areas adjoining the UGC charter and be able to bring the relevant ones to the roadmap. Data/Logic-driven Approach: to work with large quantities of data, insights and business skills to leverage analytics for decision making.

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Mumbai-based candidates are preferred. This is a Solution Engineering role typically is 70% office or remote working in the regional country you are aligned to, supporting sales and channel technical activities and up to 30% traveling. This role is aligned to someone who is a self-starter, passionate about technology, enabling teams and connecting with people to help solve their requirements. The ideal candidate must have proven hands-on experience in cyber security products, excellent communication, and presentations skills. This is a perfect opportunity for an individual with previous Pre-Sales, Support, or Professional Services proven experience at a Vendor, Channel, Customer or Distribution role, who is looking to have a balance of channel and technical sales activities and build trusted relationships with partners. Responsibilities Include Proactive leader of technical discovery conversations to qualify and validate the customer requirements and use cases to build out a bill of materials that meets the customer needs and aligns to the desired outcomes Conduct technical sales presentations, product, an

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . This is a Solution Engineering role typically is 70% office or remote working in the regional country you are aligned to, supporting sales and channel technical activities and up to 30% traveling. This role is aligned to someone who is a self-starter, passionate about technology, enabling teams and connecting with people to help solve their requirements. The ideal candidate must have proven hands-on experience in cyber security products, excellent communication, and presentations skills. This is a perfect opportunity for an individual with previous Pre-Sales, Support, or Professional Services proven experience at a Vendor, Channel, Customer or Distribution role, who is looking to have a balance of channel and technical sales activities and build trusted relationships with partners. Responsibilities Include Proactive leader of technical discovery conversations to qualify and validate the customer requirements and use cases to build out a bill of materials that meets the customer needs and aligns to the desired outcomes Conduct technical sales presentations, product, and solution demonstrations across SonicW

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward. With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. Responsibilities Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6+ years of hands-on software development experience. Strong foundation in Java and API technologies. Genuine interest in specializing in mainframe/legacy systems technology as a long-term career direction. Core Technical Skills – Java, APIs & Modern Stack Working knowledge of Java, used for the Sola IDE and one of the Sola runtime implementations. Experience with RESTful and SOAP web services, including how they're designed, secured, and exposed from backend systems. Familiarity or hands-on experience with API management gateways (e.g., Akana, Apigee, MuleSoft, Kong, or similar) — Sola's core purpose is exposing mainframe assets as governed, gateway-managed APIs. Working knowledge of JavaScript, used extensively within the Sola IDE. Experience with SQL/NoSQL databases, including DB2, Oracle, MS SQL, and/or MySQL. Working knowledge of CI/CD tools and pipelines. Requirement Mainframe & Legacy Systems – Growth Track (Mentorship & Training Provided) These skills will be

Job Description for Sales Engineer Job Title: Sales Engineer Basic Qualifications Bachelor’s degree in any discipline; Engineering preferred. Strong verbal and written communication skills in English and Hindi. Experience and Skills 2 3 years of experience in sales or sales operations for technology, aerospace, mechanical, or industrial products in a B2B environment. Proficiency in MS Excel, Word, and PowerPoint. Ability to multitask, manage priorities, and work within deadlines. Self-driven, proactive, and capable of working with minimal supervision. Good knowledge of SAP is preferred. Prior experience working with purchase or procurement teams will be an advantage. Basic understanding of supply chain, logistics, and post-order management is preferred. Working knowledge of CRM systems will be an advantage. Key Responsibilities Handle customer calls and emails, understand requirements, and ensure timely responses. Coordinate with internal teams to maintain regular follow-ups and smooth communication. Review quotations, purchase orders, and related commercial documents. Track action points, deadlines, and follow-ups to ensure timely closure. Support execution of assigned tasks while maintaining quality and accuracy. Assist the team with documentation, reporting, and follow-up activities. Coordinate with the purchase team to understand delivery timelines and update customers accordingly.

We are a Leading Delhi Based Consultant, currently we are hiring for our client for Noida Location. Designation: Software Developer - React, PHP Desired Experience: 3 - 6 Years Qualification: UG: B.C.A. in Computer Applications (General), B.Tech / B.E. in Computer Science and Engineering (CSE) PG: M.Tech in Computers, MCA in Any Specialization. Job Location: Noida Sec - 61 (WFH/Work from Home Available) Total Employees: 80+ Members Working Days: Monday to Friday Key Responsibilities Develop and maintain web applications using React.js and PHP. Build reusable and responsive UI components. Design and develop RESTful APIs and backend services. Integrate front-end applications with backend APIs. Optimize application performance, scalability, and security. Troubleshoot, debug, and resolve application issues. Collaborate with designers, project managers, and other developers. Write clean, maintainable, and well-documented code. Participate in code reviews and follow development best practices. Manage database design, development, and optimization. Required Skills Frontend Strong experience with React.js. Proficiency in JavaScript (ES6+), HTML5, CSS3. Experience with Redux, Context API, or other state management libraries. Knowledge of responsive web design principles. Familiarity with Bootstrap, Material UI, or Tailwind CSS. Backend Strong experience with PHP. Experience with PHP frameworks especially CodeIgniter. Knowledge of REST API development and integration. Understanding of authentication and authorization mechanisms. Database Strong knowledge of MySQL/MariaDB. Experience in database design, optimization, and query performance tuning. Tools & Technologies Composer and NPM. Web servers such as Apache. Qualifications Bachelors degree in computer science, Information Technology, or related field. 3 - 6 years of experience in React.js and PHP development. Strong problem-solving and analytical skills. Good communication and teamwork abilities. Experience

DR ASHWANI KUMAR VIJ : Have been retained by a Well Established, Fast Growing, Mid Size, Professionally Managed and Listed Organisation, manufacturing, marketing and exporting a range of High Quality light Engineering Products and having state of the art manufacturing facilities and ISO Certification for its Domestic and International customers to select 1 Chief Financial Officer ( CFO ) and Preferably for joining in December,2025. KRA for this Senior Management-Executive Leadership role : -Take responsibility (either directly or via staff and would be Supported by a Young Team of High Performing Professionals ) for all cash management, investments, insurance, budgeting, and financial reporting, and help drive the company’s financial strategy and hiring needs. -Coordinate development of annual operating, capital, and program budgets, as well as reporting for the same. -Ensure cash flow is compatible with operations by overseeing day-to-day accounting, recording, reporting, and internal-control activities of the organization. -Would understand and analyse the the current accounting Practices and Trends. -Develop and implement best practices and tools to ensure a well-controlled yet flexible organization that has strong fiscal management, project coordination, cross-team communications, and workflows. -Comply with national and local financial requirements by studying existing and new legislation and taking appropriate action. Job Responsibilities : -Work with senior managers to efficiently develop budget proposals, provide access to project finance information, and ensure contract/grant compliance and reporting. - Research revenue opportunities and economic trends, analyze internal operations, and identify areas for cost reduction and process enhancement. -Perform risk management through analysis of company liabilities and investments, and evaluate and manage capital structure and fundraising initiatives. -Monitor business performance with tracking tools

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring Personally ship the