Senior System Software Safety Engineer in India

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for people who have a strong background in data science and cloud architecture to join our Professional Services team to help create exciting new offerings and capabilities for our customers! This team will be working with customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be more strategic, advising our clients on best practices and advice to implement Data Science workloads on Snowflake. You will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators, while maintaining oversight and direction to ensure successful outcomes AS A TECHNICAL ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL : Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements Work hands-on where needed using SQL, Python, to build POCs that demonstrate implementation techniques and best practices on Snowflake tech

About Us: Paytm is India’s largest digital payments and financial services platform, leading the mobile QR revolution. We power millions of businesses and individuals, and we’re building scalable, resilient systems to serve half a billion Indians and beyond. Here at Paytm, technology isn't just about keeping up, it's about building the future. We believe the next generation of engineers must not only scale systems to billions but also leverage AI and GPT tools to accelerate innovation. Role Overview: We are seeking an experienced Senior Information Security Manager to lead our security initiatives and ensure the integrity, confidentiality, and availability of our systems and data. This role is crucial in safeguarding our digital assets and maintaining compliance with industry standards. 1. Should take care of Infosec functions by coordinating with various stakeholders 2. Lead and manage Vulnerability Assessment (VA) and Penetration Testing (PT) programs end to end. 3. Should have technical hands-on knowledge on different VAPT tools, like Qualys, Tenable, BurpSuite, Checkmarx etc. 4. Ensure all cyber security compliance and audits directions issued from time to time by the regulator like SEBI, RBI etc. 5. Coordination with SOC, Technology team to follow up the incidents till closure 6. Follow escalation matrix for delayed issues 7. Assist in Internal and External Audits (Regulatory) and work towards closure of observations if any 8. Should have project management espouse, to run the security PMO for ensuring the multiple initiatives with internal / external teams, vendors, and regulators. 9. Prepare and review new/existing policies, procedures, and secure configure/ hardening documents. 10. Should possess technical skills and knowledge to handle/manage security solutions if required 11. Should have understanding of data protection technologies & laws, including DLP, DSPM, DPDPA, IT Act and international regulations like GDPR 12. Exposure to Cloud Environment & Appl

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-ownership leader to drive growth, retention, and recurring revenue for the soundbox subscription business. The role requires managing the complete merchant subscription lifecycle, including acquisition quality, renewals, merchant engagement, churn reduction, and operational execution. Key Responsibilities - Subscription Growth: Drive merchant onboarding, ensure high-quality acquisition, improve activation-to-paid conversion, and expand the active merchant base. - Retention & Renewals: Improve renewal rates, reduce churn, and build win-back strategies for inactive merchants. - Merchant Lifecycle Management: Own the end-to-end journey, ensure active product usage, and coordinate service support to improve satisfaction. - Revenue Ownership: Drive Monthly Recurring Revenue (MRR), improve collections efficiency, and monitor subscription funnel metrics. - Team Management: Manage field sales and retention teams, monitor productivity, and drive performance reviews. - Analytics & Governance: Analyze churn and activation trends, track performance dashboards, and identify fraud or activation risks. Preferred Skills • Strong analytical and problem-solving capabilities • Hands-on experience with SQL, dashboards, reporting, and business analytics • Expertise in building automated reporting frameworks and KPI monitoring systems • Ability to convert large datasets into actionable business insights and growth opportunities • Experience managing retention, renewals, collections, pricing, or revenue growth initiatives at scale • Strong ownership mindset with a track record of driv

Senior DevOps Engineer will be responsible for implementing and managing secure DevOps practices, focusing on automating processes, securing infrastructure, and optimizing workflows within a dynamic and evolving environment. They will will work closely with cross-functional teams, ensuring the integration of security into every aspect of the DevOps lifecycle to build resilient, secure, and scalable systems. Source: Adani Group | Job ID: 54337

Position : Senior ServiceNow Developer Exp Level: 7+ years of experience Location: Hyderabad / Visakhapatnam Shift Timings: 2:00PM to 11:00PM IST Skills: #ServiceNow, #Rest & Soap API's, #Javascript Key Responsibilities: Design, develop, and implement complex ServiceNow solutions using Flow Designer, Business Rules, Client Scripts, UI Policies, Script Includes, Integrations, and custom applications. Lead technical design for enhancements across modules such as ITSM, CMDB, Asset or others as required. Develop and maintain #ServiceNow catalog items, workflows, record producers, and custom applications following platform best practices. Integrations Build and support integrations with external systems using REST/SOAP APIs, MID Server, IntegrationHub, web services, and authentication methods like OAuth and SAML. Troubleshoot integration failures and optimize performance. Required Qualifications: 5+ years of hands-on ServiceNow development experience. Strong understanding of JavaScript, AngularJS, Glide API, and general web technologies. Expertise in multiple ServiceNow modules like ITSM, ITOM, HRSD, CSM, SecOps. (ITSM is required; others a plus). Experience with Service Portal, Workspace, and UI Builder. Roll : service Location : Visakhapatnam and Hyderabad Employment Type : Full-Time Experience : 5+ Years Skiils : SAP FI,SAP ABAP Job Summary: Provide support and enhancements for SAP FI and ABAP applications. Analyze and implement simple change requests (e.g., adding/changing a field, field validations, report updates, screen modifications). Perform basic ABAP development, testing, and transport management. Support incident resolution and user queries. Coordinate with onsite teams and business stakeholders. Preferred Skills: SAP FI functional knowledge (GL, AP, AR, Asset Accounting). Basic ABAP development and debugging. Experience with small enhancements and support activities. Knowledge of SAP interfaces/integrations. Preferred: Experience with S

Opportunity Overview: We are looking for a Senior Clinical Configuration Analyst to play a key role in the technical configuration of platform requirements for Cohere’s Platform-as-a-Service (PaaS) clients. Reporting into our Senior Manager, PaaS Value Delivery, you will be part of a small, fast-paced team working directly with client-facing team members to understand and deliver key clinical configurations that are integral to helping new and existing clients meet their prior authorization automation goals. Ultimately, the work you do will have a direct impact on the growth of the company and our ability to assist more patients at a time in their healthcare journey when they need help most. What you’ll do: Ensure thorough understanding of client’s technical requirements to facilitate seamless configuration of platform requirements during new client implementations Test configurability of new product functionality, or enhanced existing functionality, built to accommodate custom client requirements Define test scenarios and success criteria for all new and existing client platform configurations Execute on configuration of platform requirements in accordance with project timelines and client expectations Triage and resolve technical issues, during end-to-end testing or post-implementation, in a timely manner to ensure client satisfaction Serve as a technical SME for client-facing analysts during each stage of the customer lifecycle: providing education and answers to questions around configurability of client platform requirements; occasionally interfacing directly with clients to address issues Collaborate with Product, Development, Design, and Engineering to scope, develop, and implement internal configuration management tools that will help scale configuration work Required Qualifications: Must-haves 3-6 years of professional experience in a Configuration Management role; Bachelor’s degree in Computer Science, Systems Engineering, or related field Problem-Solving

About Us Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role We are looking for passionate, talented, and highly motivated hands-on Front End Developers with a creative edge, strong problem solving skills and strong development fundamentals. We strive to maintain an open culture where everyone is a contributor and feels comfortable sharing ideas and opinions. Our team, drawn from the best product companies, is obsessive in its detailing and our focus is on awesome User Interaction. Requirements: Ability to collaborates with teams to explore existing systems, determines areas of complexity and learns the applications capabilities. Complete understanding of internal code and workings on any popular open source library will be highly appreciated. Some record of contribution to any popular front end open source project is a big plus. Skills that will help you succeed in this role: An ideal Senior Front End Engineer would have 3-8 years of experience in building highly scalable UI on the Web/Mobile. Highly skilled at building highly performant web applications using JavaScript, HTML and CSS including frameworks and tools such as React, Redux, Redux saga, Sass, Less etc. Ability to write testable, maintainable code that’s easy to understand. Experience in modern front-end build pipelines and tools. Ability to take complex problems and break them down into smaller tasks. An innate curiosity about how things work. Strong product and design sensibilities and an obsessive attention to detail. Excellent communication skills. Self-directed team player who thrives in a continually changing environment. We are looking for passionate, talented, and highly motivated hands-o

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

JOB TITLE Senior Storage Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO The Senior Storage Engineer will be responsible for monitoring, implementation, and management of the organization's File/Block storage infrastructure. This role requires to cover one of the 2 possible shifts in India as well as a deep understanding of File/Block storage technologies and cloud-based solutions, with a focus on ensuring data availability, scalability, and security. The ideal candidate will have extensive experience in storage engineering and a proven ability to manage complex storage environments. • Provide advanced troubleshooting and support for complex storage issues, minimizing downtime and ensuring seamless operations. • Oversee and optimize File/Block storage systems, ensuring high availability and performance. • Conduct capacity planning and forecasting to ensure adequate storage resources are available to meet future demands. • Monitor storage performance and work with US resource to find recommendations for improvements to enhance efficiency and reduce costs. • Implement integration and automation solutions and provide feedback for solution to US Team to streamline operations and improve storage management. • Implement robust security measures to protect data integrity and ensure compliance with industry regulations and standards. • Maintain comprehensive documentation of storage configurations and processes and provide training and guidance to junior team members. WHAT’S

About the role (Remote) We're hiring a Senior Product Designer to join our global UX team. You'll own design within your product cluster — working directly with the engineers and PMs in those areas to define problems, shape solutions, and ship work that holds up. This is an end-to-end role. You lead discovery, define the interaction model, produce specs, and stay close through implementation. You're also expected to contribute to the systems and standards the whole team relies on. The Senior Product Designer will report to our Product Design Manager, and will work with our EU, UK and US based designers. You're part of a distributed team, so async clarity and proactive communication are as important as craft. What you’ll do Lead the design of complex AI-powered interactions in your product cluster, accounting for trust, transparency, fallback states, and human-in-the-loop considerations Embrace the use of modern AI-based tools like Claude, Figma Make, Cursor, Vercel, Loveable or equivalent not as theatre, but as a meaningful multiplier to your workflow. Partner with our UX research team to lead interviews, usability tests, and competitive analysis and translate findings into clear product direction and guidance Develop presentations, wireframes, mockups, and prototypes that effectively communicate interaction and design intent across web and mobile surfaces. Partner with PMs to shape requirements and with engineers to protect design intent through delivery Contribute to Showpad's design systems — adding components, documenting patterns, raising consistency across product areas Communicate design rationale through strategic storytelling: you can walk a PM, an engineer, and a senior stakeholder through the same decision and each one gets what they need Establish scalable AI-assisted workflows for your own work — research synthesis, rapid prototyping, concept generation — and help others on the team use them effectively Deliver UX solutions that measurably improve

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the multi-year ML roadmap for GenA

The Head OT Cybersecurity is responsible for overseeing and leading the organization’s operational technology (OT) cybersecurity strategy, ensuring the security and integrity of critical infrastructure, industrial control systems (ICS), and operational environments. This senior leadership role will drive the development, implementation, and maintenance of OT cybersecurity policies, standards, and practices to protect OT assets from cyber threats. The Head OT Cybersecurity will also oversee incident response, risk management, and compliance efforts while collaborating with cross-functional teams to secure the organization’s OT environments. Source: Adani Group | Job ID: 52021

Position: Robot Operator (Glass Cleaning) Location: Bangalore Job Type: Full-Time Department: Operations Role Overview This role involves operating advanced robotic window-cleaning systems at residential, retail, office, and commercial locations. Candidates should be comfortable handling technology, performing basic troubleshooting, ensuring service quality, and interacting professionally with customers. Key Responsibilities • Operate robotic glass and window-cleaning equipment with proper safety procedures. • Perform routine maintenance, inspections, and basic troubleshooting. • Carry out manual touch-up cleaning whenever required. • Ensure high-quality service delivery and customer satisfaction. • Record job updates, customer feedback, and service issues through CRM systems. • Support customer engagement and identify opportunities for additional services. Required Skills & Qualifications • Tech-savvy with the ability to learn robotic operations and mobile applications quickly. • Basic mechanical aptitude and troubleshooting skills. • Good communication skills in English, Hindi, and Kannada. • Physically fit to handle equipment and perform occasional manual cleaning. • Customer-friendly attitude with strong service orientation. • Two-wheeler preferred for local travel (fuel allowance provided). • Prior experience in cleaning services, field operations, appliances, maintenance, or home services is an advantage. What We Offer • Competitive salary package. • Incentives on upselling and cross-selling opportunities. • Performance-based bonuses. • Professional training on robot operations, safety, and customer handling. • Uniforms, equipment, and consumables provided by the company. • Career growth opportunities into Senior Operator, Supervisor, and Technician roles. • Dynamic start-up environment with long-term career development. About the Company A Bangalore-based Robot-as-a-Service (RaaS) start-up delivering innovative automated cleaning solutions across B2B and B2C