AI Infrastructure Engineer Windows Jobs in Hyderabad

Lead Engineer Infrastructure Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm tackling complex, data-driven challenges for some of the world s most sophisticated financial institutions. With a focus on continuous innovation, we develop powerful, scalable solutions that empower our clients to achieve transformational business outcomes. As a leader in fintech, Arcesium combines cutting-edge technology with a deep understanding of finance, setting us apart as we continue to scale and expand into new strategic opportunities. We are a culture of intellectual curiosity, ownership, and collaboration, where team members contribute meaningfully from day one and grow rapidly in their careers. About the Role We are looking for a Technical Lead Infrastructure to join our core engineering team in Hyderabad. This high-impact team is responsible for the backbone infrastructure that powers Arcesium s global fintech platform, including Linux Compute, Networking, Observability, SDLC, Access & Identity Management, and Storage, primarily deployed over AWS and Kubernetes. As a Lead Engineer, you will serve as a technical authority, driving architecture decisions, ensuring high engineering standards, and leading initiatives that deliver critical infrastructure capabilities. What You'll Do Own and serve as Subject Matter Expert (SME) for one or more core infrastructure subsystems. Lead by example across coding, testing, scalability, documentation, and code quality best practices. Contribute to and lead architecture and design discussions, evaluate technical trade-offs, and drive consensus. Lead project execution and delivery take ownership of project timelines and technical direction. Automate and optimize infrastructure services and system operations. Promote a culture of transparent, written collaboration and continuous process improvement. Drive adoption of engineering best practices across the team and mentor junior engineers. What You'll Need 6+ years of hands-on engineering experience with a strong background in: Programming languages: Java, Python, React Systems and infrastructure tools (e.g., Linux, Kubernetes, AWS, SFTP, Kerberos) Access & Identity Management and Service Discovery Proven experience in: Designing and managing microservices architectures Building robust CI/CD pipelines and automation tools Operating and troubleshooting large-scale distributed systems Implementing observability frameworks (monitoring, logging, alerting) Strong understanding of cloud-native architectures, particularly in AWS environments. A security-first mindset, especially around access control and authentication. Excellent communication, collaboration, and leadership skills. Passion for clean code, system design, and solving deep infrastructure challenges. Bonus Points For: Exposure to modern infrastructure-as-code tools (e.g., Terraform, Ansible). Experience in financial services or working with regulated environments. Contributions to open-source infrastructure tools or communities. Impact: Work on critical systems that power global financial institutions. Culture: A collaborative, respectful, and inclusive workplace. Growth: Accelerate your development with a steep learning curve and autonomy. Purpose: Help shape the future of financial technology. Arcesium is proud to be an equal opportunity employer. Diversity and inclusion are core to our values not just legal commitments. We encourage individuals from all backgrounds to apply.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.

Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Job Description Responsibilities Identify projects and initiatives to deliver tangible end user operational improvements across the internal and external IT ecosystem. Collaborate with IT teams to ensure seamless integration with existing systems Engineer and optimize systems to operate within defined SLAs and achieve internal KPIs related to IAM efficiency, security, and performance. Feedback from users on IAM processes (i.e. access request/revoke, access lock down, etc.). Number of help desk tickets related to IAM issues (e.g., login problems, access issues). Implement automation and process improvements to streamline IAM workflows (e.g., automated role definitions, workflow optimization), increasing operational efficiency. Tasks Design and engineer IAM solutions to support the full lifecycle of client identities, from onboarding to offboarding, ensuring secure and efficient processes. Manage and execute changes to IAM systems (e.g., SailPoint, Active Directory, Entra ID), driving system improvements while minimizing disruptions and adhering to change management protocols for security and system stability. Conduct periodic reviews of user access rights and support in forensic analysis and compliance reports. Assist in preparing for internal and external IAM audits, ensuring proper documentation and compliance. Support the implementation of Single Sign-On (SSO) systems across enterprise applications. Troubleshoot authentication issues related to login and access. Ordinary and Extraordinary administration and optimization if IAM systems (e.g., SailPoint, Active Directory, Entra ID), focusing on improving system performance, scalability, and security. Collaborate with help desk and support teams to escalate and manage complex cases. Develop, maintain, and update technical documentation related to system configurations, processes, troubleshooting steps, and resolutions, ensuring high-quality knowledge management. Working with Windows NTFS and DFS services Key competencies for position and level In addition to demonstrating our Global Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Be a strong team player. Proactive mindset to always look to make improvements. Confident communication skills with the ability to speak to business stakeholders / application owners technical individuals to elicit requirements. Willing to continually learn new skills and technologies. Work well under pressure. Qualifications Education / professional qualifications Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred Background experience Hands-on experience with IAM Active Directory and Entra ID on hybrid environment Strong verbal and written communication skills. Knowledge of configuring, troubleshooting, and maintaining IAM tools and systems. Experience of Active Directory, Windows Servers and NTFS permissions. Knowledge of VMware, Azure hosting and SailPoint platform is nice to have. Company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements preferred but not essential. Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results. Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary. Ability to focus on priority, when business impact required. Languages Fully proficient spoken and written English, additional European languages will be an asset Company description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings. Qualification : Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred

Principal Engineer - Infrastructure Development Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a talented and motivated Principal Engineer to join our Infrastructure Development team. This person will work and coordinate internal projects and support Engineering Managers. The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth. The Infrastructure Development team is responsible for multiple functional areas which include Access & Identity Management, Linux Compute, Discovery, Networking, Observability, SDLC, and Storage, built on top of AWS, which provide the foundation upon which our customer-facing financial technology platform builds and runs. Infrastructure is a high-impact engineering team that builds new services, automates systems, integrates cloud & open-source software, and operates critical systems depending on the needs of the firm. What you'll do: Help build the next generation of IT infrastructure e.g. containers infrastructure using Docker & Kubernetes cluster create, manage and upgrade. Create, consult on and review architectural decisions of infrastructure projects/products. Build and maintain the firm s critical IT infrastructure such as Linux, Windows, Git, DNS, Kerberos, Syslog, Apache, Perl, Python, E-mail, Ansible, ELK. Safeguard the firm s and its customers data. Minimize the risk of system failures and ensure that controls are in place to detect failures. Work with tech teams to ensure infrastructure scales dynamically based on the usage pattern. Collaborate with internal teams to develop messaging to senior stakeholders. Build and maintain relationships and create trust with internal stakeholders and Application Engineering teams. Communicate with all stakeholders, prepare project plans, release notes and conduct regular governance meetings. What you'll need: 10-20 years of experience in system administration/software engineering. Strong programming experience in Python/C/Go/Haskell. Good knowledge of Unix system, web technologies, and AWS. Experience with tools and processes that will help you manage, understand, and debug large, complex distributed systems. Attention to detail and quality, and the ability to work well in and across teams. The ability to be self-motivated and to think independently while being a team player. Exceptional verbal and written communication skills. Ability to multitask and manage multiple deliverables paired with a can-do attitude.

Summary Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. As a Windows Client Engineer, you will be responsible for ensuring the smooth operation, security, and performance optimization of our Windows client infrastructure. The ideal candidate will have a deep understanding of Windows operating systems and extensive experience in managing and troubleshooting Windows client systems in a corporate environment. About the Role Responsibilities for this role include, but are not limited to: • Install, configure, and maintain Windows operating systems (Windows 10, Windows 11) across the organization's client devices. • Monitor and manage client systems using centralized management tools such as Tachyon, Intune. • Identify and troubleshoot hardware and software issues, working closely with users to resolve technical problems. • Implement and maintain security measures, including antivirus, firewall, and encryption protocols. • Collaborate with cross-functional teams to implement new software or hardware solutions, ensuring compatibility with Windows client systems. • Create and maintain technical documentation, including system configurations, procedures, and troubleshooting guides. • Assist in evaluating new technologies and make recommendations for system improvements. • Provide end-user training and support to ensure understanding and effective usage of Windows client systems. Commitment to Diversity & Inclusion: : We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. What you’ll bring to the role: • Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Excellent problem-solving and communication skills. • Proven work experience as a Windows Client Engineer or in a similar role. In-depth knowledge of Windows operating systems & Modern provisioning (Autopilot) • Strong understanding of Active Directory, Group Policy, and system security principles. Experience with centralized management tools such as Microsoft Intune and SCCM. • Proficiency in scripting languages (PowerShell or similar) for automation purposes. Knowledge of network protocols, TCP/IP, DNS, and DHCP. • Ability to work independently and collaboratively in a team environment Industry certifications, such as Microsoft Certifications (MCSA, MCSE), are a plus. Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program – choice of benefits from Benefit Plus Cafeteria in the amount of 12,500 CZK per year; Meal vouchers in amount of 105 CZK for each working day (full tax covered by company); Public Transportation allowance; MultiSport Card. Find out more about Novartis Business Services: Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Excellent problem-solving and communication skills.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Staff Engineer PC Gaming Middleware Development Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited Job Overview Qualcomm s in-house Game Studio is looking for a talented and experienced Staff Engineer to lead development efforts in PC gaming middleware on Snapdragon-powered devices. This role is a unique opportunity to work with pre-commercial hardware and shape the future of gaming on always-on, always-connected Snapdragon PCs. As a Staff Engineer, you ll contribute to developing and porting game middleware to open-source and proprietary game engines. You ll also play a critical role in optimizing CPU, GPU, and system-level performance for gaming workloads on Windows. Key Responsibilities Develop and port gaming middleware for both open-source and proprietary game engines. Optimize performance across CPU, GPU, and overall system for gaming use cases on Windows Snapdragon devices. Collaborate with game engine and hardware teams to showcase gaming capabilities on Snapdragon platforms. Work on modern rendering algorithms and improve game engine pipelines. Contribute to toolchain and workflow development for content creation and performance profiling. Minimum Qualifications 5+ years of professional software development experience. Strong proficiency in C++ and solid understanding of its specifications. Experience in Windows game development and performance optimization. Solid foundation in 3D graphics and mathematics. Understanding of modern PC and console rendering pipelines. Strong written and verbal communication skills. Self-driven and passionate about gaming technology. Preferred Qualifications Experience with Unreal Engine or other open-source engines. Background in tools development is a plus. Familiarity with profilers and debuggers such as RenderDoc, Intel VTune, etc. Experience working with large-scale, multi-million-line codebases. Knowledge of multithreaded programming paradigms. Educational Requirements Bachelor s degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of software development experience. OR Master s degree and 3+ years of relevant experience. OR PhD and 2+ years of relevant experience. Programming language experience: Minimum 2 years with C, C++, Java, Python, or similar languages. About Qualcomm Qualcomm is a global leader in wireless technology and chipset innovation, powering cutting-edge devices from mobile phones to AR/VR, automotive, and next-gen PCs. Our Game Studio is a hub of gaming innovation, comprised of veteran developers, artists, and engineers dedicated to redefining the future of gaming across platforms. Join us to work on breakthrough gaming experiences that will power the next generation of Snapdragon-powered PCs. Qualification : Educational Requirements Bachelors degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of software development experience. OR Masters degree and 3+ years of relevant experience. OR PhD and 2+ years of relevant experience. Programming language experience: Minimum 2 years with C, C++, Java, Python, or similar languages.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Job Title: AWS DevOps Engineer / Architect Location: Hyderabad Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an experienced AWS DevOps Engineer / Architect to join our team. In this role, you will work with a wide range of AWS services and DevOps tools, enabling the efficient deployment and operation of software in cloud environments. The ideal candidate will have extensive experience in AWS architecture, CI/CD, EKS, CloudFormation, and various DevOps tools and technologies. Key Responsibilities: AWS Infrastructure: Design, implement, and manage AWS cloud infrastructure with a focus on CloudFormation, Lambda, EKS, and other AWS services. Containerization and Orchestration: Manage Docker and Kubernetes environments, ensuring seamless container orchestration and deployment. CI/CD Pipelines: Build and maintain CI/CD pipelines using tools like Jenkins, Bamboo, Azure DevOps, and TeamCity. Scripting and Automation: Develop scripts for automation using languages such as Shell, PowerShell, and Python. Monitoring and Logging: Implement monitoring and logging solutions using tools like Datadog, Splunk, and Wiz to track the performance and health of infrastructure. Collaboration: Work closely with development teams to ensure smooth integration and deployment processes. Infrastructure as Code: Write and maintain infrastructure code using Terraform and AWS CloudFormation. Agile Environment: Work in an Agile environment using tools such as JIRA to manage tasks and collaborate with team members. Security and Best Practices: Ensure the security, performance, and scalability of cloud infrastructure, following industry best practices. Microservices: Work with microservice architectures and ensure the efficient deployment and scaling of services. Qualifications: Educational Qualification: Bachelor s degree in Computer Science, Engineering, or a related field. Experience: 5+ years hands-on experience with AWS services, including Lambda, CloudFormation, EKS, CodePipeline. 3+ years experience with Docker and Kubernetes at an enterprise level. 5+ years experience in CI/CD with tools such as Jenkins, Bamboo, Azure DevOps, and TeamCity. Experience with scripting languages like Shell, PowerShell, Python. Knowledge of microservice architecture, API management, and networking concepts such as DNS, Ingress, LB. Experience with monitoring/logging tools like Datadog, Splunk, and Wiz. Linux experience (at least 3+ years) and Windows Server experience (2-3+ years). Additional Skills: Knowledge of C#, .NET, Java, and object-oriented programming concepts is a plus. Experience with version control systems like GitHub, TFS. Familiarity with security best practices in cloud environments. Preferred Qualifications: AWS Certification is a plus (e.g., AWS Certified Solutions Architect or AWS Certified DevOps Engineer). Other Details: Notice Period: Immediate or negotiable Work Environment: Hybrid work model (combination of remote and on-site) Salary: Negotiable based on experience If you are an experienced AWS DevOps Engineer/Architect with a passion for cloud infrastructure, CI/CD, and automation, we would love to hear from you. Join our dynamic team and help drive innovation in cloud architecture and DevOps practices. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Role: Senior DevOps Engineer Location: Hyderabad Job Description Sr. DevOps developer you will define designs, provide technical enablement for application components or subsystems for research applications. Your major focus will be on writing code in python or similar and enable integration with various systems. Responsibilities: 8-13 years of experience in (L3 Skills) (AWS, Python, Groovy, Jenkins). Experience working on AWS Cloud platform. Hands-on experience with infrastructure as code tools like Terraform/CloudFormation. Design, test and implement CI/CD including automation using bitbucket/GitHub, Jenkins. Strong programming skills on Python or Groovy or similar Experience working with different AWS services like Ec2, EBS, RDS, IAM, VPC, Lambda, S3, EKS, etc. Experience in building, managing and deployment of Docker images on EKS. Experience in administering both Unix/Linux and Windows operating systems. Prior experience on monitoring and alerting systems like Prometheus/Alert Manager/Grafana Should demonstrate strong Troubleshooting skills. Good to have: Experience with configuration management tools (E.g., Ansible, Chef) Understanding of Monitoring tools (New Relic, PagerDuty, Splunk, CloudWatch etc.) Strong Communication and documentation skills Ability to learn and apply new technologies through self-Learning. Preferred Certifications: AWS Solution Architect Associate or Up / AWS DevOps Associate or Up Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.

Join Amgen s Mission of Serving Patients At Amgen, you re part of something bigger our shared mission to serve patients with serious illnesses drives everything we do. Since 1980, we ve been pioneers in the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Diseases, helping millions of patients live longer, fuller lives. Amgen remains on the cutting edge of innovation, combining biology and technology with human genetic data to push beyond what s possible today. Specialist IS Engineer What You ll Do As a Specialist IS Engineer, you will develop and implement the next generation of pharmacovigilance platforms while supporting existing technologies. This includes designing, developing, and deploying complex software solutions while mentoring junior developers. You ll collaborate with cross-functional teams to deliver high-quality, scalable solutions that ensure system reliability and innovation in safety systems. Key Responsibilities Design, develop, and deploy solutions for pharmacovigilance systems to enhance adverse event intake and distribution. Ensure technical implementation aligns with GxP validation processes and IS Change Control standards. Collaborate with partners to prioritize system enhancements and new functionalities for safety systems. Develop innovative solutions using Generative AI and large language models (LLMs) like OpenAI GPT for improved decision-making and efficiency. Rapidly prototype and translate concepts into working code. Drive automation and process improvements within the drug-safety ecosystem. Conduct code reviews and maintain technical documentation for architecture, design, deployment, and disaster recovery. Lead technical root cause analyses and collaborate with software vendors to resolve system-related issues. Basic Qualifications Master s Degree with 4 6 years of experience, or Bachelor s Degree with 6 8 years of experience, or Diploma with 10 12 years of experience in Computer Science, Software Development, or a related field Required Skills Must-Have: Proficiency in SQL, Databricks, and data modeling concepts Experience in Python or JavaScript and reporting tools like Power BI or Tableau Familiarity with PV terminologies and regulatory compliance Hands-on experience with SDLC, ETL tools (Informatica, Databricks), and API integrations (MuleSoft) Strong problem-solving skills, collaborative mindset, and effective communication Knowledge of ITIL processes and GxP validation Nice-to-Have: Experience with COTS Pharmacovigilance Platforms (e.g., Argus) Cloud experience with AWS or Azure Knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP) Professional certifications such as SAFe Agile Software Engineer or SAFe for Teams Soft Skills Strong verbal and written communication skills Analytical and problem-solving mindset Ability to collaborate with global, virtual teams Initiative-driven with an ownership mindset Adaptability and resilience in ambiguous situations What You Can Expect Amgen offers a collaborative, science-driven culture and comprehensive benefits, including competitive salaries, professional growth support, and a focus on your well-being. Shift Information: This role may require working late shifts, with potential for evening or night schedules based on business needs. Apply now to make a real difference in the lives of patients while transforming your career at careers.amgen.com. Equal Opportunity Employer: Amgen is committed to creating a diverse and inclusive environment. We provide reasonable accommodations to individuals with disabilities.

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

Job Overview The main objective of this role is to ensure stability for the platform enabling PepsiCo s digital transformation in workforce automation. This environment is a centralized platform used to create, monitor, and audit any robotic process automation (Bots) being deployed globally within PepsiCo. Technical support and sustain lead for Intelligent Automation (IA) infrastructure and bots running in that infrastructure. This role will provide technical leadership for geographically dispersed resources, working closely with Automation Development, the Citizens Development community, and key business contacts to sustain and expand the operational infrastructure, providing a centrally-supported and standardized environment. Responsibilities Responsibilities Responsible for the upkeep of the RPA (Robotics Process Automation) Infrastructure, and provide support to the hosted applications. Be the subject matter expert for the Intelligent Automation / UI Path infrastructure that includes UI Path, Windows servers, and Azure Cloud Maintain knowledge of advanced diagnostic and troubleshooting techniques, solid analytical skills, experience in RPA administration/configuration, refresh/upgrade projects and enhancements Proactively manage the Automation / UI Path environment and ensure that unplanned outages are reduced or eliminated by helping provide root cause for issues. Lead the on-call management, coverage schedule and executions when needed to assist with complex and critical incidents. Provide technical support collaboration with global resources and maintain operational stability through automation and adherence to standards. Responsible for the capacity management of RPA environments through continuous operational reviews and continuous collaboration with the Infra and development teams. Evaluate regularly the operational procedures to keep the environment in compliance with the PepsiCo control standards. Qualifications Qualifications 5+ years production support experience 3-5 years Windows experience 1-2 years UI Path development experience (good to have) 2-3 years UI Path infrastructure experience 2+ years Azure cloud experience 2+ years ITSM process (incident, change, problem) experience Bachelor s degree in Information Technology, Engineering, Computer Science, related field or equivalent experience Proficiency with Unix scripting Training & Advanced certifications on Automation tools (good to have) Experience in an IT programming development environment, ideally in RPA tools or test automation tools (UI Path/ AA/ Blue Prism/QTP/OpenSpan/WinAuto etc). Hands on development experience in any of the programming languages/platforms .NET / VB / VC++ / C++/J2EE. Experience in Microsoft stack is highly preferred. Experience in VB Script, JavaScript (AngularJS, NodeJS), Python, Perl, Bash & Powershell is highly desired Strong in design principles and modular programming techniques. Strong in requirement gathering and analysis (ability to work with a structured and methodical approach, combined with an inquiring mind) Ability to understand the business process and create process flow diagrams. Knowledge of Microsoft packages such as MS Excel (VBA scripting), Visio, Access, and Word. Problem solving issues that arise in day to day running of IPA processes and providing timely responses and solutions as required Advanced troubleshooting and problem analysis proficiency Exceptional organizational skills with an ability to manage multiple priorities in a fast-paced dynamic environment Leadership skills to direct remote resources Ability to communicate to both technical and management resources Preferred to have .net/Java developer certifications. Creating and maintaining solution documentation. Qualification : Bachelors degree in Information Technology, Engineering, Computer Science, related field or equivalent experience

Job Title: Presales Engineer Location: Hyderabad, India About the Role As a Presales Engineer at Kanerika, you will play a pivotal role in crafting compelling solutions that resonate with clients and drive business success. You'll collaborate closely with sales, delivery, and solutioning teams to respond to client opportunities with precision, agility, and strategic insight. Key Responsibilities Customer Engagement & Soft Skills Communicate effectively with stakeholders at all levels, including C-level executives. Build strong, trust-based relationships to facilitate smooth project execution. Ask insightful questions to uncover hidden client needs and context. Leverage collaboration tools such as MS Teams, OneDrive, calendars, and proposal templates efficiently. Deliver compelling presentations tailored to the audience, emphasizing value and fit. Support negotiation efforts related to resources, estimates, and timelines. Agility & Responsiveness Lead bid kickoffs with speed and precision, aligning the right internal teams. Maintain strict adherence to bid timelines and planning processes. Ensure timely follow-ups and reminders throughout the bid lifecycle. Demonstrate proactive risk identification and early deliverable planning, such as mock-ups and early win themes. Delivery Quality & Process Compliance Ensure consistently high-quality, well-articulated language across proposals. Customize document structures based on standard templates or RFP-specific requirements. Guarantee completeness and accuracy of functional, technical, and creative proposal content. Comply with internal processes and maintain a knowledge repository. Produce visually polished documents with consistent formatting and adherence to brand or client standards. Strategic Intelligence & Value Addition Provide the bid team with valuable insights on client industries, competition, and potential budgets. Identify and empathize with underlying customer challenges. Weave win themes throughout proposals and craft compelling executive summaries. Validate proposed solutions and estimates critically and constructively. Ensure the executive summary is factually accurate and strategically impactful from the outset. Leveraging Organizational Expertise Curate and include relevant case studies aligned with the client s context. Engage the best internal experts based on opportunity specifics. Apply learnings from previous presales efforts to enhance new deliverables. Collaborate with support functions such as Legal, HR, and Information Security when needed. Qualifications & Requirements Must-Have MBA from a reputed institute. Minimum 3 years of experience in IT Presales. Soft Skills Excellent written and verbal communication. Strong presentation and interpersonal skills. Adaptable, diligent, and collaborative work ethic. Technical Skills Solid understanding of presales methodologies and lifecycle. Foundational knowledge of business analytics and AI concepts. High levels of emotional and intellectual intelligence (EQ & IQ). Culture & Perks Open Door Policy: Transparent communication across all levels. Open Office Environment: Encourages collaboration and innovation. Flexible Working Hours: Empowering work-life balance. Employee Referral Program: Incentives for bringing in top talent.

Snowflake Architect Location: Hyderabad, Telangana Work Type: On-site, Full-time Company: Blend About Blend: Blend is a premier AI services provider dedicated to driving innovation and value through data science, AI, and technology. Our mission is to co-create meaningful impact by combining human expertise with advanced AI-driven strategies. Job Summary: We are seeking an experienced Snowflake Architect to lead our data engineering efforts by designing scalable Snowflake architectures, optimizing data pipelines, and managing a high-performing team. This role requires a strategic thinker and hands-on leader to deliver secure, reliable, and efficient data solutions. Key Responsibilities: Design and implement robust Snowflake data warehouse architectures and ETL pipelines supporting business intelligence and advanced analytics. Lead and mentor a team of data engineers, ensuring timely delivery of high-quality projects. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and design effective data models. Develop, document, and enforce best practices for Snowflake architecture, data modeling, performance tuning, and ETL workflows. Optimize Snowflake environments for low latency, high availability, and cost efficiency. Drive continuous process improvements and evaluate emerging tools and technologies. Ensure data accuracy, completeness, and security, complying with data privacy regulations like GDPR and CCPA. Partner with cloud engineering and DevOps teams to integrate Snowflake solutions within AWS infrastructure. Participate in capacity planning, budgeting, and resource allocation for data engineering functions. Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (Master s preferred). 9+ years of cloud-based data engineering experience, with at least 4 years of hands-on Snowflake expertise. Proven track record in designing, deploying, and managing large-scale Snowflake data platforms. Expertise with AWS services including S3, Redshift, Lambda, Glue, etc. Strong proficiency in SQL, Python, and other data manipulation languages. Experience managing and mentoring engineering teams and leading cross-functional projects. Solid understanding of data governance, security, and compliance frameworks (GDPR, CCPA). Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: Snowflake certification(s). Experience with other cloud data warehouses such as AWS Redshift or Google BigQuery. Familiarity with Agile methodologies, CI/CD pipelines, Git, Jira, and modern development practices. Apply now to join Blend and help shape the future of data-driven innovation! Qualification : Bachelors degree in Computer Science, Information Technology, or related field (Masters preferred).