Google Cloud Platform GCP Jobs in Hyderabad

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Job Title: Senior Java Developer Company: Kanerika Inc. Job Location: Hyderabad, Ahmedabad, Indore, India. Relocation assistance will be provided for compelling candidates. Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Best Place to Work 2022 by Great Place to Work Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today NASSCOM Emerge 50 Award in 2014 Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances. Working for us Kanerika is rated 4.5/5 on Glass-door, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you ll get while working for Kanerika. Role As a Senior Java Developer, you will utilize your extensive Java programming skills and expertise to design and develop robust and scalable applications. You will collaborate with cross-functional teams, provide technical leadership, and contribute to the entire software development life cycle. With your deep understanding of Java technologies and frameworks, you will ensure the delivery of high-quality solutions that meet the project requirements and adhere to coding standards. Locations We are located in Austin (USA), Singapore, and Hyderabad (India). We are looking for you! As a Java/J2EE Developer, we are looking for a team player who possesses a can-do attitude and thrives on delivering results. Your inquisitive nature and dedication to customer satisfaction drive you to consistently seek innovative ways to enhance your job performance. You excel in dynamic environments, maintain a positive outlook, and understand that professional growth is an ongoing journey where making the right choices is crucial. In this role, you will be primarily responsible for designing and developing RESTful Web Services. Your expertise in working with databases such as Oracle, PostgreSQL, MySQL, or SQL Server will enable you to handle data-related tasks effectively. Leveraging your strong knowledge of the Spring Framework, you will craft web applications and microservices utilizing Spring Boot. Proficiency with application server technologies like Tomcat and experience with continuous integration tools such as Jenkins will be valuable assets. As a dedicated follower of SDLC principles, you prioritize quality and adhere to standards-based development practices. Excellent English communication skills, both written and verbal, will facilitate effective collaboration with your team. Requirements What you ll do Following are high level responsibilities that you will play but not limited to: Discuss new features and collaborate with the development and UX team, commercial product manager and product owner to get functionalities specified and implemented. Agree the technical implementation with involved component owners and estimate its work effort. Write great code and do code reviews for other engineers. Implement, test and demonstrate new product features in an agile process. Develop complete sets of functionalities including the backend and frontend. Create new microservices, or migrate existing services, to run on a cloud infrastructure. Work on further usability, performance improvements or quality assurance, including bug fixes and test automation. Watch out for potential security issues and fix them, or better avoid them altogether. What you ll bring BTech computer science or equivalent. Java development skills with at least 5 years of experience. Knowledge of the most popular java libraries and frameworks: JPA, Spring, Kafka, etc. Have a degree in computer science, or a similar background, or you just have enough professional experience to blow right through all your challenges. Are a great communicator, analytic, goal-oriented, quality-focused, yet still agile person who likes to work with software engineers; you will interact a lot with architects, developers from other teams, component owners and system engineers. Have a clear overview of all layers in computer software development, including REST APIs and how to make and integrate them in our products. Have Java server-side development and SQL and no SQL database knowledge. Are open to pick-up innovative technologies as needed by the team. Have or want to build experience with cloud and DevOps infrastructure (like Kubernetes, Docker, Terraform, Concourse, etc.). Speak English fluently. Benefits Employee Benefits Culture Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a col...

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.

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).

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Job Title: Senior Data Engineer Location: Hyderabad, Telangana, India Job Type: Full-Time | Permanent Experience Required: 6+ Years Open Positions: 2 About the Role: We are seeking a highly skilled and experienced Data Engineer to join our team in Hyderabad. As a key member of our data engineering unit, you will be responsible for designing and optimizing end-to-end data pipelines using Python, PySpark, and Databricks. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to lead best practices within the Supply Chain data domain. Key Responsibilities: Develop and maintain scalable data pipelines using Python, PySpark, and Databricks for complex data transformation within Supply Chain operations. Implement advanced data engineering solutions that support real-time and batch data processing for analytics and business intelligence. Analyze, optimize, and refactor existing data workflows to improve performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Take ownership of projects and deliver high-quality outcomes with minimal supervision. Provide leadership and guidance on coding standards, design patterns, and data engineering best practices. Clearly communicate technical ideas and solutions to both technical and non-technical stakeholders. Required Skills & Qualifications: 6+ years of hands-on experience in data engineering. Proficient in Python, PySpark, and Databricks for building and maintaining data pipelines. Strong problem-solving skills with a proven ability to create innovative solutions for complex data challenges. Excellent communication and interpersonal skills; able to work effectively with cross-functional teams. Experience leading and mentoring team members on technical best practices and architecture decisions. Ability to work independently, manage priorities, and drive projects to completion with minimal oversight. Perks & Benefits: Competitive compensation package Exposure to cutting-edge technologies in cloud-based data engineering Opportunity to work on large-scale Supply Chain data solutions Collaborative, innovation-driven work environment Career growth and mentorship opportunities

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

Introduction In this role, you'll be part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients globally. Our centers provide locally-based skills and technical expertise to drive innovation and the adoption of new technologies. A career at IBM Consulting involves building long-term relationships and collaborating closely with clients across industries. You'll work alongside visionaries to help them on their hybrid cloud and AI journeys, enhancing the value and impact of some of the most innovative companies in the world. With access to IBM s strategic partner ecosystem and cutting-edge technology platforms, including IBM Software and Red Hat, you will be empowered to accelerate client transformations and create meaningful change. Curiosity and a constant quest for knowledge serve as the foundation for success at IBM. In your role, you'll be encouraged to challenge the status quo, explore ideas beyond your current role, and come up with creative solutions that will make a significant impact across a wide network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that celebrates your unique skills and experience. Your Role and Responsibilities As a Data Engineer at IBM, you will be a critical player in designing and developing applications, while also providing guidance to project teams on complex coding, troubleshooting, and execution. Your key responsibilities include: Solution Design and Construction: Lead the design and construction of new data solutions using the latest technologies, ensuring business value and meeting user requirements. Continuous Improvement: Advocate for continuous improvement by testing solutions and working within an Agile framework to enhance and iterate the developed solutions. Innovation: Stay current with the latest technology trends, discovering and implementing creative solutions to solve business problems. Collaboration: Work with diverse teams to deliver impactful data solutions while ensuring scalability, quality, and performance. Required Education Bachelor s Degree in a relevant field Required Technical and Professional Expertise Apache Spark (PySpark): In-depth knowledge of Spark s architecture, core APIs, and using PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Proficiency in Python: Expertise in Python programming, particularly focused on data processing and manipulation. Data Processing Frameworks: Experience with Pandas, NumPy, and other data processing libraries. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or GCP, including working with cloud storage systems. Preferred Technical and Professional Experience Architecture Strategy: Experience in defining, driving, and implementing architecture strategies and standards for end-to-end monitoring of data solutions. Cross-Team Collaboration: Partnering with technology teams, including application development, enterprise architecture, testing services, and network engineering. Security: Familiarity with detection and prevention tools for company products and customer-facing platforms. How You ll Grow At IBM, we offer opportunities for career development and provide an environment where you are encouraged to continuously grow, learn, and expand your expertise. Working with cutting-edge technologies and a diverse set of clients, you will be able to stay ahead of industry trends and make meaningful contributions that have a real impact. About IBM Consulting IBM Consulting helps organizations tackle their most pressing challenges through innovative and agile solutions. By partnering with clients, we drive technology transformations, helping them optimize their operations and leverage new technologies like AI, cloud, and data. Our team s expertise spans across many industries, delivering solutions that enable clients to navigate digital transformations. This role offers an exciting opportunity to work with leading technologies while contributing to client success in a highly dynamic environment. If you re passionate about solving complex data problems and delivering impactful solutions, IBM Consulting is the place to grow your career. Qualification : Bachelors Degree in a relevant field

Software Developer - Data Pipelines (Java/Replicator) Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities As a Software Developer, you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Experience in developing Pipelines using Java or Replicator framework. Writing Junit testcases for Java modules. Having experience in writing SQL queries. Experience in handling Java production issues, error management, debugging skills. Willingness to learn and work on client specific tools and API's. Responsible to work as an individual contributor and deliver the issues within SLA's & SLO's. Good understanding of client-side scripting. Having good logical & analytical, problem-solving skills with good soft & communication skills. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise Technical expertise in Java development projects. Understanding and experience in Java coding using various frameworks and design patterns. Knowledge on data pipelines. Developing data bridge pipelines using replicator framework. Writing Junit testcases for the pipelines. Preferred Technical and Professional Experience Experience in data analytics. Working knowledge on Plx framework and tools. Knowledge on workday integrations with external systems and Experience in working on Google Cloud Platform.

About HSBC If you re looking for a career that will help you stand out, join HSBC and fulfill your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support, and rewards that will take you further. As one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories, HSBC aims to be where the growth is, enabling businesses to thrive and economies to prosper, and ultimately, helping people fulfill their hopes and realize their ambitions. The Role We are seeking an experienced professional to join our team as a Consultant Specialist. In this role, you will play an instrumental part in ensuring the smooth execution of projects by participating in feasibility studies, project planning, technical design, and coding. You will guide and mentor the team, ensure proper communication across the project, and interact directly with clients to resolve issues related to the delivery of projects. Principal Responsibilities Feasibility Study: Participate in the feasibility study to assess the viability of projects. Project Planning: Contribute to the estimation and planning of projects. Requirement Analysis: Analyze project requirements and translate them into actionable plans. Technical Design: Develop or review technical designs to ensure they meet business objectives and technical specifications. Coding & Development: Guide and mentor team members on code development and contribute where required. Reviews: Conduct thorough reviews of design, code, test plans, and test results to ensure quality and alignment with project requirements. Testing: Oversee test planning, strategy, validation, and conduct random testing to ensure deliverables meet expectations. Post-Development Support: Coordinate post-development support to address issues and ensure smooth deployment. Team Management: Ensure effective communication and coordination within the team to foster collaboration and smooth project delivery. Client Interaction: Communicate directly with clients to provide progress updates and resolve any project delivery-related issues. Requirements To be successful in this role, you should meet the following qualifications: In-depth technical/functional knowledge of Core Banking RPS UK (Retail Processing System) and UK banking products. Job Control Language (JCL): Strong experience with IN Stream & Catalogue Procedures, Control Cards, SDFS (Spool), SPICE, SAR & MVS JCL utilities. COBOL: Strong understanding of COBOL programs, including working storage, copy books, subroutines, and Z/OS concepts. DB2 (SQL): Proficiency in relational database concepts and advanced SQL, including error handling and SQL error codes. CICS: Knowledge of infrastructure setup (PCP, PIP, KCP, SCP) and experience in writing CICS programs linked with front-end systems. TSO, ISPF: Hands-on experience with TSO and ISPF. Programming Skills: Experience with REXX, EZYTRIEVE, and SELCOPY. Tools Knowledge: Familiarity with tools like Endevor, File Manager, Road Runner, CLARITY, Fault Analyser, R2DS, RDz, RTC, SONAR. Communication: Strong verbal and written communication skills for effective team and client interaction. Self-sufficiency & Initiative: Demonstrated ability to work independently and take initiative in solving issues, addressing the root causes, and providing solutions. Additional Desired Skills Core Java, SQL Database Knowledge, Spring Boot/Spring Data, JPA/J2EE/Servlets. Experience with Web Services (REST, SOAP) and Microservices. Knowledge of Google Cloud Platform (GCP) / Amazon Web Services (AWS) (certification is a plus). Familiarity with tools such as Maven, GIT, Jenkins, Any point Studio, Spring Tool Suite (STS). Global Presence: Join one of the largest financial institutions in the world with a presence in 64 countries and territories. Career Growth: Benefit from HSBC s opportunities for professional development and career advancement. Impactful Work: Play an integral role in ensuring the smooth operation of high-importance projects. You ll achieve more when you join HSBC.

What We Are Looking For We are seeking a motivated Full Stack Developer with 3 years of experience in Java and Python to join our innovative team. The ideal candidate is passionate about technology, thrives in a dynamic environment, and is committed to delivering high-quality software solutions. You will work closely with cross-functional teams to design, develop, and deploy scalable and efficient applications that power our Resolution Intelligence Cloud platform. Experience with Google or AWS cloud platforms and PaaS services is a must. Skills Required Proficient in Java and Python programming languages Strong understanding of front-end technologies such as HTML, CSS, and JavaScript Experience with modern front-end frameworks like React or Angular Knowledge of RESTful API design and development Familiarity with database technologies like PostgreSQL, MySQL, or MongoDB Experience with version control systems such as Git Understanding of containerization technologies like Docker Familiarity with CI/CD pipelines and tools Experience with Google or AWS cloud platforms and PaaS services Good to Have Knowledge of microservices architecture Experience with Kubernetes for container orchestration Understanding of DevOps practices Familiarity with Elasticsearch and Redis Experience with Agile/Scrum methodologies Role As a Full Stack Java and Python Developer at Netenrich, you will: Develop and maintain scalable and robust applications Collaborate with product managers, designers, and other developers to define and implement new features Write clean, efficient, and testable code Participate in code reviews and contribute to improving coding standards Troubleshoot and debug applications to ensure optimal performance Continuously learn and adapt to new technologies and best practices Contribute to the design and architecture of our Resolution Intelligence Cloud platform Join us at Netenrich and be a part of a forward-thinking team that is shaping the future of digital operations! Qualification : Proficient in Java and Python programming languages

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

Position Title: Data Modeler Location: Hyderabad Department: Data & Analytics Experience Required: 4+ Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a highly skilled and detail-oriented Data Modeler to join our Hyderabad team. In this role, you will be responsible for developing and optimizing conceptual, logical, and physical data models that support business intelligence and decision-making processes. You will work closely with business stakeholders and technical teams to turn complex data into meaningful insights. Roles and Responsibilities: Translate business requirements into well-structured data models. Design and implement conceptual, logical, and physical data models for enterprise applications. Collaborate with cross-functional teams including data engineers, analysts, and business users. Ensure data integrity and consistency across various data sources and systems. Use data modeling tools (e.g., ERwin, ER/Studio) to document metadata and relationships. Participate in data profiling, analysis, and cleansing initiatives. Provide technical leadership on data structure standards and best practices. Support data governance, cataloging, and quality assurance efforts. Work in Agile environments and contribute to sprint planning and execution. Required Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 4+ years of experience in data modeling (relational, dimensional, or NoSQL). Hands-on experience with tools such as ERwin, ER/Studio, or equivalent. Strong SQL skills and ability to handle large datasets. Experience with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with cloud data platforms such as AWS, GCP, or Azure. Strong analytical skills and attention to detail. Excellent communication and stakeholder management skills. Nice to Have: Experience with Snowflake, BigQuery, or Redshift. Exposure to ETL tools and data pipeline development. Knowledge of metadata and data lineage tools. Experience in domains such as retail, healthcare, or finance. Be part of a forward-thinking company at the cutting edge of data and digital transformation. Work in a collaborative environment that encourages learning and growth. Gain exposure to global projects and next-gen technologies. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Job Title: Senior Python Developer Location: Hyderabad (Onsite) Experience: 5+ Years Job Type: Full-Time Openings: 2 Category: IT Job Summary We are seeking an experienced Senior Python Developer with deep technical expertise in designing scalable, secure, and high-performance backend systems particularly within the travel and tourism industry. The ideal candidate will be proficient in Python frameworks (Django, Flask, FastAPI), capable of handling complex third-party API integrations, and demonstrate leadership in ensuring robust, compliant, and efficient backend infrastructure. Roles & Responsibilities Core Development Architect, build, and maintain scalable applications using Python and frameworks such as Django, Flask, and FastAPI. Integrate and optimize third-party travel APIs (e.g., GDS, CRS, OTA, airline APIs) for real-time booking, availability, and pricing data. Develop RESTful APIs, GraphQL, and asynchronous services for seamless frontend-backend communication. Data & Architecture Design and manage high-throughput data pipelines and ETL processes for structured and unstructured data. Work with SQL/NoSQL databases like PostgreSQL and MongoDB, and streaming tools like Apache Kafka or Apache Spark. Build modular microservices to enable independent scaling and deployment. Performance, Security & Compliance Optimize for performance, scalability, and reliability with efficient load balancing and low-latency design. Implement secure coding practices, ensure data encryption, and maintain compliance with PCI DSS, GDPR, and other relevant standards. DevOps & Automation Set up and maintain CI/CD pipelines (Jenkins, GitLab CI), automate testing and deployment. Leverage Docker and Kubernetes for containerization and orchestration. Use monitoring tools to ensure system health and proactive issue resolution. Collaboration Work closely with frontend teams, designers, and stakeholders to align backend systems with business requirements. Participate in code reviews, documentation, sprint planning, and continuous improvement. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in backend development with at least 3 years in Django, Flask, or FastAPI. Hands-on experience in RESTful API, GraphQL, and asynchronous programming. Deep knowledge of PostgreSQL, MongoDB, and streaming/big data tools like Kafka, Spark. Experience in cloud platforms (AWS, Azure, GCP). Experience with Docker, Kubernetes, and CI/CD tools. Familiarity with testing frameworks such as PyTest, Selenium, and SonarQube. Travel domain knowledge experience integrating GDS/CRS, booking systems, and payment gateways. Key Competencies Strong problem-solving and analytical thinking. Ability to work in a fast-paced, high-pressure environment. Excellent communication and collaboration skills. Self-motivated with a proactive attitude and leadership qualities.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Test Automation Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Company: Blend About Blend: Blend is a leading AI services provider dedicated to driving impactful innovation through data science, AI, and technology. Our mission is to empower businesses by aligning human expertise with artificial intelligence, delivering transformative solutions that create lasting value. Job Summary: We are seeking an experienced Test Automation Engineer to strengthen our quality assurance efforts. You will design and implement automated testing frameworks and strategies that ensure the reliability, stability, and performance of our software products, including rollback testing in continuous integration and deployment environments. Key Responsibilities: Design, develop, and maintain scalable test automation frameworks using tools such as Selenium, Cypress, Playwright, or similar. Implement rollback testing to validate system stability during deployment and rollback cycles. Develop automated test scripts covering regression, smoke, sanity, and performance testing scenarios. Integrate automated tests seamlessly into CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Collaborate with development and DevOps teams to identify gaps in test coverage and improve release reliability. Analyze test results, log defects, and support developers in debugging and resolving issues. Create and maintain detailed test plans, test cases, and documentation. Ensure thorough testing across multiple environments including staging, production, and rollback scenarios. Qualifications: Minimum 5 years of experience in test automation using Selenium, Cypress, Playwright, or equivalent tools. Strong understanding of rollback testing and deployment validation techniques. Proficiency in scripting languages such as Python, JavaScript, or Java. Hands-on experience with CI/CD tools and pipelines including Jenkins, GitLab CI, GitHub Actions, or Azure DevOps. Experience testing REST APIs using tools like Postman or REST Assured. Familiarity with version control systems such as Git and GitHub. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Excellent analytical, problem-solving, and communication skills. Opportunity to work with cutting-edge AI and automation technologies. Collaborative and innovative work environment. Career growth through mentorship and and learning opportunities. Competitive salary and benefits. Apply now to contribute to Blend s mission of delivering world-class AI solutions with top-quality software testing practices.

Company: Evergent About Evergent: Evergent is a leading global technology provider, managing over 560 million user accounts across 180+ countries. We partner with major carriers such as AT&T, Etisalat, SingTel, Telkomsel, and AirTel, as well as prominent media companies including HBO, FOX, SONY, and BBC. With a talented team of 600+ professionals worldwide, Evergent is renowned for delivering Customer Lifecycle Management solutions that accelerate digital transformation and unlock new revenue opportunities without disrupting legacy systems. Recognized by Silicon Valley VCs as a "diamond in the rough," we invite you to join us and be part of our growing success. Position: Cloud & IT Security Analyst Location: Hyderabad Experience Required: 4-8 Years Role Overview: As a Cloud & IT Security Analyst, you will be responsible for securing Evergent s SaaS systems, internal networks, and data platforms. Your role will involve monitoring, analyzing, and strengthening our cloud and IT infrastructure against potential security threats. You ll need to stay up-to-date with the latest security intelligence, including emerging hacking techniques, to proactively defend against breaches and ensure system integrity. Key Responsibilities: Cloud & IT Infrastructure Protection: Monitor and secure Evergent s cloud infrastructure and IT systems to prevent unauthorized access or data breaches. Security Assessments: Conduct regular security assessments, vulnerability scans, and penetration testing to identify potential risks. Log Analysis & Threat Investigation: Analyze security logs to investigate potential threats and take necessary action to mitigate risks. Security Controls & Policy Implementation: Develop and enforce security controls and policies to safeguard systems and data. Cloud Security Configuration: Manage cloud security configurations across AWS, Azure, and Google Cloud to ensure best practices are followed. Incident Response & Mitigation: Respond to and manage security incidents, minimizing impact and ensuring swift recovery. Security Audits & Compliance: Support annual security audits and ensure compliance with standards such as PCI-DSS, SSAE18, and GDPR. Client Engagement: Assist in responding to client RFPs/RFIs regarding Evergent s security practices and policies. Access Management: Define and enforce access privileges, control structures, and security resource management. Continuous Security Improvement: Proactively identify vulnerabilities, recommend security improvements, and stay ahead of emerging threats. Required Skills: Experience with cloud platforms (AWS, Azure, Google Cloud). Strong understanding of cybersecurity principles and network security. Proficiency in risk management and implementing security controls. Knowledge of compliance frameworks such as NIST, ISO 27001, and GDPR. Familiarity with security tools like SIEM and IDS/IPS. Certifications (Typical): CompTIA Security+ AWS Certified Security Specialty (ISC) CCSP CISSP (Certified Information Systems Security Professional) Qualifications & Education Requirements: BE, B.Tech, M.Tech, MCA, or any Bachelor's degree in Computer Science or related field. Preferred Skills: 4 to 8 years of experience in IT security or a related field. Strong written and verbal communication skills. Highly organized, responsive, and a diligent problem solver. Associate s degree or relevant certifications in Computers, Technology, or a related field. Technical Knowledge: Experience with UNIX, AIX, Linux, Cisco Network IDS, Cisco Host-based IDS, eTrust Access Control, ESM, IDS. Familiarity with DES encryption, Digital Certificates, SSL, VPN, IPSec, TCP/IP, DNS, and web security architecture. Knowledge of database security (e.g., MySQL), version control systems (e.g., Subversion), and antivirus solutions. Qualification : BE, B.Tech, M.Tech, MCA, or any Bachelor computer degree.

Job Description We are seeking a Senior Kubernetes Architect to join our team. In this role, you will not only fine-tune Kubernetes clusters for optimal performance but also lead our Kubernetes adoption strategy and serve as a thought leader in cloud-native technologies. Job Duties and Responsibilities: Kubernetes Cluster Optimization: Design, implement, and optimize Kubernetes clusters to ensure high availability, scalability, and performance. Diagnose and resolve complex issues related to cluster performance and stability. Develop and implement best practices for Kubernetes deployments, including security, monitoring, and management. Strategic Leadership: Define and drive the Kubernetes adoption strategy across the organization. Collaborate with stakeholders to align Kubernetes strategies with business goals and technical requirements. Advocate for and lead the adoption of cloud-native technologies and methodologies. Thought Leadership: Stay abreast of the latest developments in Kubernetes and related technologies. Share insights and knowledge through internal workshops, presentations, and documentation. Contribute to the community through blogs, speaking engagements, or open-source projects. Architectural Design: Create and maintain architectural frameworks and guidelines for Kubernetes deployments. Evaluate and recommend tools and technologies that complement Kubernetes ecosystems. Lead design reviews and provide guidance on complex architectural decisions. Team Collaboration: Work closely with development, operations, and DevOps teams to integrate Kubernetes solutions effectively. Mentor and guide junior team members on Kubernetes best practices and advanced techniques. Facilitate cross-functional collaboration to drive successful Kubernetes initiatives. Qualifications: Experience: 15+ years of experience in software engineering with at least 8+ years focusing on Kubernetes architecture and operations. Proven experience in designing, deploying, and tuning large-scale Kubernetes clusters. Technical Skills: Deep understanding of Kubernetes architecture, including components such as Pods, Services, Deployments, and Custom Resources. Proficiency in containerization technologies (Docker, containers). Experience with CI/CD pipelines, infrastructure as code (IaC), and cloud platforms (AWS, Azure, GCP). Leadership Skills: Demonstrated ability to lead strategic initiatives and drive adoption of new technologies. Excellent communication skills with the ability to influence and guide diverse teams. Education: Bachelor s degree in computer science, Engineering, or a related field (or equivalent experience). Relevant certifications (e.g., Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD)) are a plus. 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. Qualification : Bachelors degree in computer science, Engineering, or a related field (or equivalent experience).

Job Role: Cloud Engineer Key Responsibilities: Design, deploy, and manage AWS cloud solutions for HPC environments, including compute, storage, networking, and security. Implement scalable, reliable infrastructure to support various applications and workloads. Apply AWS best practices for performance optimization, reliability, and cost management. Build and maintain CI/CD pipelines for efficient deployment of applications and infrastructure. Develop and implement CI/CD pipelines tailored for scientific and engineering applications. Diagnose and resolve complex technical issues within AWS environments. Design and implement optimized HPC solutions for scientific and engineering workloads on the cloud. Oversee HPC deployments, ensuring high availability, scalability, and performance. Collaborate with DevOps engineers and developers to ensure seamless integration of HPC solutions. Monitor and troubleshoot HPC workloads in cloud environments. Stay current with advancements in HPC, cloud technologies, and scientific/engineering applications. Document and share best practices related to HPC and cloud integration. Job Requirements: Bachelor s degree in computer science or a related field. 2-3 years of hands-on experience with AWS services (e.g., EC2, S3, IAM, EFS, FSx, VPC). Basic understanding of HPC principles and parallel file systems (e.g., Lustre, GPFS). Experience with Linux system administration. Familiarity with cloud platforms (AWS, Azure, GCP) and HPC services (AWS experience preferred). Proven experience with DevOps pipelines, adapting scientific/engineering applications for the cloud. Strong scripting skills (Bash, Python, etc.). Basic understanding of job schedulers (e.g., Slurm, SGE, PBS). Excellent problem-solving, analytical, and communication skills. Ability to work independently and in a collaborative team environment. Preferred Skills: AWS certifications (e.g., AWS Certified Solutions Architect). Experience with Linux administration. Knowledge of parallel clusters and HPC administration. Familiarity with Slurm job schedulers. 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. Qualification : Bachelors degree in computer science or a related field