Quality And Reliability Engineer in India

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team As Stripe’s user base and global footprint grows dramatically, we have distinctly unique support problems resulting from both our type of scale and the type of businesses we partner with. The Stripe Delivery Center (SDC) strategy will provide operational leverage and expand Stripe’s portfolio of operational capabilities to support the scaled needs for external users and internal Stripe teams. We strive to deliver frictionless experiences for all of our users, whether they are an Independent Business, Startup, SMB, or Enterprise and our mission is to provide all Stripe Users with the best support experience possible. What you’ll do You will manage a team of Seller Systems Operations Associates in a player-coach capacity. You’ll be accountable for your team’s operational performance, development, and engagement, while working closely with global operations specialists, business process owners, and cross-functional partners to improve workflows and user experiences. Responsibilities Lead the day-to-day operational performance of a team of Associates, including quality, productivity, service-level, and other team goals. Set clear expectations, priorities, and performance goals for individuals and the team. Manage team capacity, scheduling, and work allocation to ensure critical workflows are covered and work is completed accurately and on time. Coach Associates on troubleshooting, process knowledge, communication, and sound judgment in resol

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What You'll Be Doing: Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation. Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines. Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core). Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports. Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams. Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency. What We Need to See: Experience: 2+ years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation. Education: Bachelor’s degree or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Perforce Expertise: Strong hands-on experience managing Perforce (P4 / Helix Core) streams, workspace specs, c

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

Job Details: Job Description: • Domain knowledge in Product Data Management, concept of Item/Bom, Change Management are essential. • Deep understanding of business processes related to product lifecycle management, including design, development, manufacturing, and support for any works to automate the product data management. • Ability to map business requirements and problems to technical solutions and identify opportunities for process improvement. • Ability to design and architect comprehensive solutions that integrate various components of the PLM system with other enterprise systems. • Experience in creating scalable and sustainable architectures that address current and future business needs and ensuring the a quality delivery of the solution • AI knowledge that can help to optimize the process of automating data entry and validation, and workflow will be an added advantage. • Full-stack software solutions experiences to address customer needs • Web/Windows technology development in .NET, NET Core, ASP.NET C#, node.js • Front End framework in React/Jquery/Javascript • Integration technology, for eg. SSIS. Mulesoft. • Strong skillsets in SQL, relatiotional DB, MSSQL, Postgrep • Strong foundation on HTML, CSS, understanding of old technology in asp, vbscript • Knowledge in cloud technology, container as a service, docker images. • Experience developing containerized applications and services using tools such as Docker and Kubernetes. • Experience using git for code repository management, CI/CD workflow with tools such as GitHub Actions or similar. Qualifications: Required skill set: Domain knowledge in Product Data Management, concept of Item/Bom, Change Management are essential. Experience 3-7yrs with BE/BTech background Full-stack software

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our Team Do you want to be an Information Security Lead at GoDaddy? GoDaddy’s Security organization is looking for a Cloud Security Engineer. We work out large-scale and cross-company security challenges while ensuring that partnership with the development and operational communities remains front of mind. At GoDaddy, Security Engineers apply their strong hands-on technical skills to craft scalable solutions for multiple problems. You must communicate with GoDaddy Engineering teams, perform security assessments, prioritize security risks, and design. We, as a team, implement high-quality security engineering solutions! What you'll get to do... The Senior Cloud Network Security Engineer will play a crucial role in designing, building, and securing large-scale, distributed cloud environments that support GoDaddy Services. This role operates at the intersection of cloud infrastructure, security architecture, and engineering execution. The successful candidate will collaborate closely with service teams, security leaders, and compliance partners to embed security-by-design principles into cloud services and internal platforms. This position requires advanced technical expertise in cloud-native security controls. It also needs a strong understanding of threat models in hyperscale environments. Additionally, it involves influencing architecture decisions across multiple teams. The role demands hands-on engineering, good judgment in ambiguous situations, and proficiency at translating security requirements into scalable, automated solutions. Bui

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a Formal Verification Engineer at NVIDIA, you will be responsible for formally verifying complex designs. NVIDIA has developed a strong functional formal verification methodology that not only enables hardware design and verification engineers to use lightweight FV tools and techniques successfully but also allows FV engineers to use advanced property proving techniques on complex and/or critical RTL logic. The job involves very close interaction with the design team, architecture team, with other validation teams, and with NVIDIA's internal FV R&D group that develops functional verification tools using formal verification technology. What you'll be doing: You will help decide on the best applications of formal verification techniques to various parts of the design. Review functional and micro-architectural specifications, define the scope for formal verification, and create high-quality formal verification testplans to sign-off on the corresponding design implementation. Build formal verification testbenches, code assertions and constraints, and apply abstra

WE'RE HIRING Senior SQL Data Engineer Azure & Snowflake Remote (WFH) Immediate Joiners only Location: Remote Employment Type: Full-Time Immediate Joiners Preferred Salary: Up to 8 LPA (PF Included) Experience: 4+ Years We are looking for a highly skilled Senior SQL Developer with strong experience in Microsoft Azure and Snowflake to design, develop and optimize enterprise data solutions. Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer, The successful candidate will have excellent SQL development skills, a strong understanding of data warehousing and data modelling, and hands-on experience building cloud-based data pipelines and analytical platforms. The role involves working closely with data architects, engineers, analysts and business stakeholders to deliver reliable, scalable and high-performing data solutions. Key Responsibilities -Design, develop and maintain complex SQL queries, stored procedures, views, functions and database objects. -Must have 4+ years as a SQL Developer, Data Engineer, or Data Warehouse Developer -Build and optimise data transformation processes for large-scale datasets. Develop data pipelines using Azure Data Factory, Azure Synapse Analytics and related Azure services. -Design and implement data solutions within Snowflake. -Develop Snowflake tables, views, stored procedures, streams, tasks, stages and file formats. -Create and maintain ETL and ELT workflows across Azure, Snowflake and source systems. -Analyse and improve the performance of SQL queries, data pipelines and warehouse workloads. Design dimensional models, including star and snowflake schemas, fact -tables and dimension tables. Implement data quality checks, validation rules, reconciliation processes and error-handling frameworks. -Support data migration and modernisation programmes from on-premises platforms to Azure and Snowflake. -Develop incremental loading, Change Data Capture and Slowly Changing Dimension solutions. -Troubleshoot da

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Responsibilities Support and maintain customers who have implemented the Customer Identity SaaS solution, resolving technical and non-technical customer issues in a timely fashion Operational management of Support tickets Build and maintain excellent relationships with clients and achieve the highest level of customer satisfaction Take end-to-end ownership of customer issues, including initial troubleshooting, identification of root cause and issue resolution. Exceed customer expectations on response quality, timeliness of responses and overall customer experience. Serve as internal and external point of contact on customer issues and ensure they are resolved as expediently as possible. Work as part of our extended support team in a startup atmosphere, doing whatever it takes to exceed customer expectations Use your business and technical analysis skills and knowledge of the Development lifecycle to solve complex issues and promote best practices Collaborate with other departments in the company to achieve customer satisfaction Contribute to and maintain repository of product area specific knowledge and promote a culture of team knowledge sharing and collaboration within Support. Requirements 5 years+ of technical support and/or software development OR 3 years+ of solid experience in a business or technical analyst role for medium to large scale business software implementation projects Strong analytical and problem-solving skills Self-starter — able to com

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of the role We are seeking an experienced and proactive Enterprise Applications QA Engineer with a strong focus on CRM and Finance systems. This role is ideal for a candidate who has a passion for quality, accuracy and efficiency. You will play a critical role in affirming the quality of various enterprise applications especially those supporting sales, marketing, finance and accounting. What will do Plan, Build & Execute Functional, System & Regression Testing Document, maintain and execute comprehensive test scenarios and test cases Identify and create detailed test cases for requirements Collaborate with BS

Position: Dy. Manager - C&I Construction - Projects Location: Singrauli, Madhya Pradesh Purpose: Dy. Manager - C&I Construction - Projects will play a pivotal leadership role within Adani’s Power/Energy division, steering large-scale civil construction projects from inception through commissioning. This position demands a seasoned professional adept at managing complex project environments, ensuring quality, safety, and timely delivery while aligning with Adani’s core values of innovation, sustainability, and operational excellence. The role offers a unique opportunity to contribute to the nation’s growing energy infrastructure, driving transformative projects that support a cleaner and more sustainable energy future. The successful candidate will collaborate across multidisciplinary teams, fostering a culture of continuous improvement and employee engagement within a dynamic and diverse workplace. Source: Adani Group | Job ID: 55850

Position: Manager - C&I Construction - Projects Location: Singrauli, Madhya Pradesh Purpose: Manager - C&I Construction - Projects will play a pivotal leadership role within Adani’s Power/Energy division, steering large-scale civil construction projects from inception through commissioning. This position demands a seasoned professional adept at managing complex project environments, ensuring quality, safety, and timely delivery while aligning with Adani’s core values of innovation, sustainability, and operational excellence. The role offers a unique opportunity to contribute to the nation’s growing energy infrastructure, driving transformative projects that support a cleaner and more sustainable energy future. The successful candidate will collaborate across multidisciplinary teams, fostering a culture of continuous improvement and employee engagement within a dynamic and diverse workplace. Source: Adani Group | Job ID: 55848

Job Title: - Deputy General Manager - Civil - Projects Location: - Mahan (Singrauli ) MP Purpose The Deputy General Manager - Civil - Projects will play a pivotal leadership role within Adani’s Power/Energy division, steering large-scale civil construction projects from inception through commissioning. This position demands a seasoned professional adept at managing complex project environments, ensuring quality, safety, and timely delivery while aligning with Adani’s core values of innovation, sustainability, and operational excellence. The role offers a unique opportunity to contribute to the nation’s growing energy infrastructure, driving transformative projects that support a cleaner and more sustainable energy future. The successful candidate will collaborate across multidisciplinary teams, fostering a culture of continuous improvement and employee engagement within a dynamic and diverse workplace. Source: Adani Group | Job ID: 55083

Job Title: - Deputy General Manager - Civil - Projects Location: - Korba Chhatisgarh Purpose The Deputy General Manager - Civil - Projects will play a pivotal leadership role within Adani’s Power/Energy division, steering large-scale civil construction projects from inception through commissioning. This position demands a seasoned professional adept at managing complex project environments, ensuring quality, safety, and timely delivery while aligning with Adani’s core values of innovation, sustainability, and operational excellence. The role offers a unique opportunity to contribute to the nation’s growing energy infrastructure, driving transformative projects that support a cleaner and more sustainable energy future. The successful candidate will collaborate across multidisciplinary teams, fostering a culture of continuous improvement and employee engagement within a dynamic and diverse workplace. Source: Adani Group | Job ID: 54632