Python Engineer Jobs in Bengaluru

Job Title: Sr. Python Framework Developer Location: Bangalore Experience: 4 6 Years Responsibilities Design and develop scalable, efficient, and functional tools and software solutions. Independently drive development projects ensuring the highest code quality and best practices. Lead a team of developers to deliver high-quality products within deadlines. Collaborate with stakeholders to gather product requirements and assess/prioritize feature requests. Demonstrate expertise in advanced system design and complex subsystem integration. Utilize strong object-oriented programming skills and advanced Python features such as threading, lambda functions, concurrency, and parallelism. Create and maintain clear technical documentation and effectively present solutions to stakeholders. Exhibit strong debugging skills and the ability to investigate and resolve complex issues efficiently.

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Staff Software Engineer Databases Location: Bengaluru, India Company: Databricks About Databricks Databricks is a leading data and AI company powering over 10,000 organizations globally, including half of the Fortune 500. Founded by the original creators of Apache Spark , Delta Lake, and MLflow, Databricks offers a unified platform for data, analytics, and AI, enabling enterprises to innovate with confidence. With its global presence and a growing Bengaluru team, Databricks is rapidly expanding. Role Overview As a Staff Software Engineer in Bengaluru, you ll work within Backend or Distributed Data Systems (DDS) teams to build scalable, reliable, and high-performance services powering Databricks data and AI platform. You will tackle challenges ranging from distributed systems and cloud storage to service architecture, workflow orchestration, and developer experience. Key Responsibilities Develop large-scale distributed backend services, including managing cloud storage backends like AWS S3 or Azure Blob Store. Build and maintain infrastructure that supports millions of cluster-hours per day. Contribute to key DDS projects such as Apache Spark , Delta Lake, and performance engineering. Design and implement high-performance, reliable, and scalable systems and client libraries. Collaborate cross-functionally to drive innovation in cloud-native data processing and storage. Qualifications BS or higher in Computer Science or related field. 10+ years of production software engineering experience in Python, Java, Scala, C++, or similar. Proven experience developing large-scale distributed systems from the ground up. Experience with SaaS platforms or Service-Oriented Architectures. Benefits & Culture Competitive benefits tailored to employees needs. Committed to fostering a diverse, inclusive, and equitable work environment. Diversity & Inclusion Statement Databricks ensures equal employment opportunities regardless of age, race, gender, ethnicity, disability, sexual orientation, veteran status, or other protected characteristics, striving for a welcoming and inclusive workplace. Qualification : BS or higher in Computer Science or related field.

Backend Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai At Sarvam.ai, we re on a mission to bring generative AI to Bharat. Headquartered in Bengaluru and founded by industry-leading AI experts, Sarvam.ai is pioneering India-first, cost-effective, and high-performance AI agents that enable enterprises to unlock new opportunities and deliver deeper customer value. Join us in shaping the future of AI for India and beyond. Role Overview We are seeking a Backend Engineer with strong Python skills to help build the core infrastructure powering our AI-driven voice and generative applications. You ll work at the intersection of high-performance backend systems and machine learning model orchestration, playing a pivotal role in bringing cutting-edge AI into production environments. Key Responsibilities Develop, maintain, and scale backend services and RESTful APIs using Python and FastAPI (or similar frameworks like Flask, Django). Design and implement Retrieval-Augmented Generation (RAG) systems for AI-powered applications. Build data pipelines and orchestrate workflows for ML/AI model deployment. Write clean, modular code following industry best practices including unit testing and code reviews. Collaborate cross-functionally with ML engineers, data scientists, and product teams to integrate AI models into production environments. Optimize database operations for structured and unstructured data using both SQL and NoSQL solutions. Implement CI/CD pipelines and work with version control systems like Git for smooth deployment cycles. Participate in system architecture discussions and contribute to scaling and performance enhancements. Must-Have Skills & Qualifications Education: Bachelor s degree in Computer Science, Engineering, or a related technical field. Programming: Strong proficiency in Python and sound knowledge of programming principles. Web Frameworks: Experience with FastAPI, Flask, or Django. Database Knowledge: Comfortable working with SQL and NoSQL databases. AI & ML Exposure: Understanding of ML model lifecycle, deployment practices, and basic machine learning concepts. RAG Systems: Exposure to Retrieval-Augmented Generation or AI search systems. Version Control: Hands-on experience with Git and Git-based workflows. Analytical Mindset: Strong problem-solving and debugging skills. Teamwork: Excellent communication and collaboration skills. Nice-to-Have (Preferred Experience) Projects: Demonstrated experience building backend applications via academic, freelance, or open-source work. Cloud Experience: Familiarity with AWS, GCP, or Azure services. DevOps Tools: Exposure to Linux, Docker, Kubernetes, and CI/CD pipelines. Open Source: Active GitHub profile or contributions to open-source projects. Work on real-world AI applications impacting millions across India. Be part of a high-caliber team of AI and product engineering experts. Get in early at a fast-growing generative AI startup redefining the future of enterprise AI in India. Opportunity to grow rapidly, take ownership, and drive innovation. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field.

Python/Apache Airflow Developer Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For more information, visit www.wipro.com. Role Purpose The purpose of this role is to design, test, and maintain software programs for operating systems or applications to be deployed at the client end and ensure they meet 100% quality assurance parameters. Position Overview We are seeking a skilled Python and Apache Airflow Developer with a strong background in data engineering to help develop and maintain robust data pipelines and support business intelligence initiatives. Key Responsibilities Develop and maintain data pipelines using Apache Airflow and Python. Collaborate with business managers to understand data requirements. Optimize existing data workflows for performance and reliability. Manage SQL and NoSQL databases for business intelligence. Ensure data quality and security. Troubleshoot data pipeline issues and ensure smooth data flow. Required Qualifications Proven experience in Python programming and data engineering. Hands-on experience with Apache Airflow. Strong understanding of SQL and experience with SQL databases. Familiarity with NoSQL databases. Experience in data modeling and ETL processes. Must have: Python and Apache Airflow, with preferably 5+ years of experience. About Wipro Wipro is constantly evolving, and we re looking for passionate individuals who want to build a modern digital transformation partner with bold ambitions. Join Wipro, where we empower you to design your own reinvention. Realize your ambitions and take part in our global, purpose-driven business. Applications from people with disabilities are explicitly welcome.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Senior Software Engineer - Backend | FinBox Location: Bengaluru Experience: 4-8 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, a thriving hub of innovation at the intersection of fintech and technology. Founded in 2017, we specialize in building cutting-edge technologies for the financial services industry, helping lenders like Banks, NBFCs, and large enterprises to launch credit products faster and more efficiently than ever before. We are a Series A funded startup with a growing global presence, including offices in India, Vietnam, Indonesia, and the Philippines. To date, FinBox has enabled the disbursement of billions of dollars in credit across various types of loans, including personal, business, mortgage, and education loans. Over 100 companies use our solutions, delivering credit to millions of customers every month. Innovative Environment: We encourage creative thinking and experimentation to push the boundaries of fintech. Impactful Work: Your work will have a direct impact on millions of people by making credit more accessible and inclusive. Growth Opportunities: As a Series A startup, we offer plenty of opportunities for personal and professional growth. Collaborative Culture: Work in a diverse, inclusive team where everyone is passionate about making a difference. Creative Thinkers: You love experimenting with new ideas and enjoy solving complex problems in unique ways. Customer Heroes: You understand customer needs and aim to deliver seamless and impactful experiences. Team Players: You thrive in a collaborative environment, and value contributing to the team s success. Role & Responsibilities As a Senior Software Engineer - Backend, you will: Architect & Build: Design and implement new services to meet critical business needs and product requirements. End-to-End Ownership: Take full responsibility for the services you build, including fintech APIs and core components. Collaboration: Work closely with engineers, designers, product managers, and senior leadership to create actionable roadmaps. CI/CD & Automation: Help build and integrate systems into CI/CD pipelines, focusing on testing, QA, and automation. Write High-Quality Code: Deliver clean, performant, and well-tested code for all our products. Continuous Improvement: Ensure the continuous evolution of backend systems to support FinBox s growth and scalability. Who You Are We re looking for someone who has: A degree in Computer Science (B.Tech/MCA/M.Tech) or equivalent. In-depth knowledge of programming languages, with preferences for Go, Rust, Elixir/Erlang, Java, Python, or JavaScript. Strong understanding of Computer Science fundamentals, including algorithms, data structures, and competitive coding. Experience with Cloud Platforms: Proficiency in AWS, Azure, or Google Cloud, including Terraform for infrastructure automation. Experience with Databases: Solid knowledge of PostgreSQL and experience with Big Data pipelines. Proficiency in Automation: Experience automating systems and deployments using tools such as GitLab. Web Tech Understanding: Good knowledge of web technologies, protocols, and architecture such as HTTP, RESTful APIs, and web standards. Problem Solver: Strong analytical and problem-solving skills, combined with a fast-learning mindset. Effective Communicator: Excellent verbal and written communication skills to collaborate effectively with cross-functional teams. Be part of a dynamic, fast-growing company working on innovative financial technologies. Take ownership of high-impact backend systems that power fintech solutions for global customers. Work alongside a talented, diverse team in an inclusive environment where your ideas and contributions matter. If you re passionate about backend development and want to make an impact in the fintech world, apply now and become part of the FinBox team! Excited to start the next chapter in your career? Apply today! Qualification : A degree in Computer Science (B.Tech/MCA/M.Tech) or equivalent.

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Summary: (Sr. Lead Engineer) Qualcomm Simulation platform team would be responsible for defining/prototyping/developing software s on the emulation platforms. Looking for an experienced BSP engineer for virtual platform, who can help us is developing virtual prototype software solution for snapdragon automotive products. Candidate must have an excellent understanding of the complex SoCs architecture & its Software stack. Education & Experience: Bachelor s/master s degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience. Primary Responsibility: Software (BSP) Bring-up on Virtual Platforms. Understand the emulation platform SoC architecture and develop single software solution. Ability to collaborate with cross functional teams and deliver the quality product under strict timeline. Define & develop custom virtio architectures. Pre-silicon software development platform prototype development Develop solution to improve performance of software running on Virtual platform. Supporting internal & external customers on Bring up & debugging from Software & emulation side. Mandatory Skills: Knowledge in Linux/QNX BSPs & Full Boot Chain. Strong System level programming skills in C/C++. Python, Rust is a plus. Excellent knowledge of OS fundamentals, Data structures, Linux kernel and its device driver model Strong debugging, analytical and problem-solving skills. Should have knowledge on debuggers like T32,gdb, etc., Strong collaboration skills with the ability to collaborate with multiple functional teams. Able to understand and debug large complex SW. Fair understanding of CPU (ARM), subsystems, SOC architecture and its SW-layers Fair understanding of the Virtual Machines with Type1 and Type2 Hypervisors Added Advantage: Fair understanding of QEMU/KVM platforms. Fair understanding of multimedia systems (GPU/Display/CAM/VPU/etc.,) knowledge. Fair knowledge of hardware-software interface and SystemC ASPICE and ISO26262 know how is preferred. Automotive experience is preferred. Qualification : Bachelors/masters degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience.

Your Impact We are seeking a passionate Data Engineer with expertise in Python development who is excited about cloud-based data engineering using AWS services. You will be an integral part of a dynamic, multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers, and other stakeholders. As a key member of a global team working on our generative AI initiative, you will be based in one of our European offices. McKinsey s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm s internal use, and your role will be crucial in driving the development of data solutions to support generative AI applications. You will work with a team of data engineers to develop robust data ingestion pipelines and enhance data processing capabilities that integrate data into systems used by AI applications. Your responsibilities will include writing Python code, creating tests, developing and maintaining GitHub Action CICD pipelines, and managing AWS-based infrastructure and Docker containers. Your Growth As a member of the global team working on our generative AI initiative, you will play a key role in shaping and accelerating the delivery of McKinsey's target state data platform, which will enable AI use-cases. You will be part of our cloud-first approach, transforming data platforms and analytical applications across the firm. Working closely with multidisciplinary teams, you will contribute to building cutting-edge data solutions in a fast-paced, innovative environment. McKinsey s Tech Ecosystem function is responsible for developing all technology solutions for the firm s internal needs, and you ll have the opportunity to shape how these solutions evolve. Your Qualifications and Skills 3+ years of professional experience as a Data Engineer, with a focus on cloud-based data engineering using AWS services Expertise in Python development and a strong understanding of clean code, modularity, error handling, and test automation Extensive experience with relational databases and data pipeline performance Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions) Strong execution focus, with the ability to work independently in complex, fast-paced environments and deliver results Demonstrable experience in solving data pipeline performance issues and diagnostics Interest in generative AI and machine learning topics Experience with Kedro framework is a plus Opinionated and confident in sharing ideas, willing to speak up at all levels Familiarity with Agile principles and product development methodologies Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

Full-Stack Developer - Windows on Snapdragon Platform Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary Qualcomm Technologies Inc., the maker of the industry-leading Snapdragon SoCs, is the largest provider of complete chipset solutions for Microsoft Windows on Snapdragon products. Qualcomm is committed to developing solutions for the next generation of Windows on Snapdragon devices. The ideal software engineer will act as a key member of an Agile Scrum Team and play a pivotal role in the end-to-end lifecycle of all Windows-on-Snapdragon product lines. This role requires strong software development skills to act as a hands-on contributor responsible for gathering requirements, designing, and developing improvements to the Windows-on-Snapdragon continuous integration build systems, software release process, and developer operations tools. Strong communication and collaboration skills are essential, as this platform team works closely with internal and external teams to bring up, support, triage, and resolve issues on Qualcomm chipsets. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Key Responsibilities Design, develop, test, and maintain web applications using Python and C#. Implement front-end interfaces using ASP.net, HTML, CSS, and JavaScript. Design and maintain SQL databases, writing efficient SQL queries. Develop and maintain automation scripts using PowerShell, CMD, and BAT. Work within version control systems such as Git and Perforce. Contribute to embedded Windows software development with solid programming skills. Apply strong understanding of Operating System concepts, both Windows and Linux. Participate in Windows and/or Linux kernel development activities. Preferred Qualifications 2-5 years of Software Engineering or related work experience. Proficiency in Python, C/C++/C#, SQL, and Shell Scripting. Strong communication and interpersonal skills. Effective problem-solving and debugging capabilities. Experience with Windows OS internals. Experience debugging device drivers using WinDbg, JTAG, or similar tools. Basic understanding of processor architecture and cache subsystems. Experience with PC software development (System BIOS, UEFI, ACPI, Drivers, Applications). Working knowledge of Jenkins and Artifactory. Hands-on experience with Windows program/driver development. Proficiency in Visual Studio as an integrated development environment. Exposure to ARM assembly. Basic understanding of Embedded OS (Kernel architecture, OS services, heap, memory management, multi-core processing, multi-threading, and crash debugging). Strong motivation and ability to learn quickly. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number listed on their careers page. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities during the hiring process. (Please note: this email address is intended solely for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries through this contact.) Recruitment Policy Qualcomm s Careers Site is exclusively for individuals seeking employment directly with Qualcomm. Staffing agencies and third-party recruiters are not authorized to submit profiles, applications, or resumes via this site. Any such submissions will be considered unsolicited, and Qualcomm will not be responsible for any associated fees. Compliance Notice All Qualcomm employees must adhere to applicable company policies and procedures, including but not limited to those regarding security, confidentiality, and protection of proprietary information, in compliance with applicable laws.

Job Title: Senior Software Engineer Python Location: Pune, India Company: Blue Yonder Experience: 9 to 13 years Education: Bachelor s Degree in Computer Science, Information Technology, or related fields About Blue Yonder Blue Yonder is a leading AI-driven global supply chain solutions provider, consistently recognized among Glassdoor s Best Places to Work. Our innovative products drive digital transformation for businesses worldwide across manufacturing, retail, and supply chain sectors. Role Overview We are seeking a Senior Software Engineer Python to join our growing Industry Solutions team, which is building a ground-up SaaS product focused on solving complex challenges in Manufacturing and Retail Industries. The team currently consists of 60+ global associates across the US and India and is set to expand rapidly. This role requires strong technical expertise combined with leadership qualities to mentor junior and mid-level engineers. Key Responsibilities Architect, design, and develop scalable, event-driven multi-tenant microservices using Python. Lead technical design discussions and mentor junior engineers on best practices, coding standards, and software quality. Drive code reviews, contribute to cleaner code, and advocate for effective testing strategies. Collaborate with cross-functional teams to deliver high-quality features aligned with product roadmaps. Troubleshoot complex issues by identifying root causes and implementing long-term fixes. Continuously contribute to improving engineering processes, code quality, and team productivity. Promote knowledge-sharing through training sessions, internal talks, and contributions to open-source projects. Ensure secure architecture by implementing strong identity management and secure configurations. Champion DevOps practices, Infrastructure as Code, and automation-first approaches for deployments. Focus on designing self-healing services with robust monitoring and alerting. Collaborate with stakeholders to optimize cloud infrastructure and cost efficiency. Foster a blameless culture during incident reviews and encourage continuous learning. Technical Skills & Experience Required 9 to 13 years of experience in Enterprise Python Development. Strong expertise in Python design patterns and libraries like Numpy. Deep understanding of cloud-native architectures and Azure services (e.g., AKS, Event Hub, Azure AD, HDInsight, ARM templates, etc.). Strong hands-on experience in REST API development, OAuth, and multi-tenant microservices. Experience with data platforms such as Snowflake and MS SQL. Solid understanding of Git, Gradle, Jenkins, and CI/CD pipelines. Background in infrastructure automation and DevOps practices. Experience designing and building secure systems with identity management and data protection. Knowledge of web services, IDOCs, and interface handling is a plus. Preferred Qualifications Exposure to manufacturing or retail domain. Familiarity with solver algorithms and optimization solutions. Experience working in agile teams with strong emphasis on collaboration and iterative delivery. Strong problem-solving mindset with a passion for mentoring and knowledge sharing. Work on cutting-edge AI-driven supply chain solutions with a global impact. Collaborate with a diverse and talented global team. Professional growth through mentorship, learning programs, and leadership opportunities. Experience a flexible and inclusive work environment that values creativity, innovation, and personal well-being. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, Diversity, Inclusion, Value & Equity are at the heart of our culture. We value diverse perspectives and foster an environment where everyone feels empowered to bring their authentic selves to work. All qualified applicants will receive equal consideration regardless of race, color, religion, gender identity, sexual orientation, disability, or veteran status. Qualification : Bachelors Degree in Computer Science, Information Technology, or related fields

Senior Engineer - Quality Engineering (Apparel and Retail) About the Role: We are seeking a highly motivated and experienced Senior Engineer - Quality Engineering to join our team within the Apparel and Retail domain. This role requires 9-13 years of experience and a strong background in leading and managing quality engineering processes to ensure high-quality software products. The ideal candidate will develop and implement quality assurance strategies, test plans, and test cases utilizing SQL, SDET practices, Java, REST APIs, and data access skills. Collaboration with cross-functional teams, automation of test cases using Selenium and Python, mentoring junior engineers, leading automation efforts, and driving continuous improvement in quality engineering practices are also key responsibilities. Staying current with industry trends is essential. Responsibilities: Lead and manage the quality engineering process, ensuring the delivery of high-quality software products. Develop and implement quality assurance strategies, test plans, and test cases. Utilize SQL, SDET practices, Java, REST APIs, and data access skills to conduct thorough testing. Collaborate with cross-functional teams to improve testing processes and enhance product quality. Automate test cases using Selenium and Python. Mentor and coach junior quality engineers. Lead automation efforts to streamline testing procedures and enhance test coverage. Drive continuous improvement in quality engineering practices. Stay updated on industry trends and best practices. Conduct code reviews and ensure adherence to quality standards. Qualifications: Bachelor of Technology (B.Tech) in Computer Science Engineering or Master of Technology (M.Tech) in Software Engineering. 9-13 years of extensive experience demonstrating advanced proficiency in SQL, SDET practices, Java programming, REST API development, and data access mechanisms. Deep understanding and practical application of each of these core skills. Preferred Qualifications: ISTQB Certified Tester certification. AWS Certified Solutions Architect certification. Experience with automation testing using Selenium with Python. About Altimetrik: Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful. Altimetrik helps companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) in Computer Science Engineering or Master of Technology (M.Tech) in Software Engineering

Job Title: Automation Test Engineer (Python) Experience: 2-5 years Location: Bangalore (Hybrid 2 Days in Office: Monday & Wednesday, 3 Days Remote) Job Description: We are seeking a highly skilled and detail-oriented Automation Test Engineer proficient in Python. This individual will play a key role in ensuring the stability and reliability of our software products by developing and executing automated tests, identifying failures, reporting issues, and helping resolve defects. The ideal candidate should be curious, willing to learn new technologies, and possess excellent collaboration skills, working closely with cross-functional teams, including developers and system test leads. Key Responsibilities: Automation Testing: Design, develop, and maintain automated tests using Python and relevant testing frameworks (e.g., pytest, unittest, Selenium). Execute automated tests across multiple releases and environments to identify defects. Analyze test results and investigate failures, taking ownership of triaging issues. Collaborate with developers and test leaders to identify root causes and provide solutions. Collaboration & Cross-Functional Communication: Work closely with developers, product owners, and other stakeholders to understand requirements. Align on priorities, timelines, and quality expectations. Provide actionable feedback to ensure smooth issue resolution. Test Documentation & Reporting: Maintain detailed test cases, scripts, and logs to track progress and outcomes. Communicate testing status, risks, and results to ensure transparency. Requirements: Technical Skills: Strong proficiency in Python and experience with Python-based test automation tools (e.g., pytest, unittest, Selenium). Experience with CI/CD integration and version control systems like Git. Basic knowledge of Docker & containers and Linux commands. Self-driven with an ability to quickly learn new technologies. Preferred Sonic & Networking Knowledge: Understanding of networking concepts: L2/L3 forwarding, ARP, LAG/LACP, Static Routing. Basic knowledge of routing protocols such as OSPF or BGP. Familiarity with Sonic (open-source network OS) and related testing techniques. Collaboration & Problem-Solving Skills: Excellent communication skills and a proactive approach to problem-solving. Strong analytical skills with attention to detail. Join Us! We celebrate work and offer an opportunity to grow in a dynamic environment with a talented and supportive team. If you are passionate about automation testing, Python, and networking concepts, we d love to have you on board!

What Gramener Offers You Gramener provides an inviting workplace, talented colleagues from diverse backgrounds, steady career growth prospects, and plenty of opportunities for innovation. Our goal is to create an ecosystem of easily configurable data applications focused on data storytelling for both public and private use. Roles and Responsibilities Design and build data models to address the organization s strategic data needs. Collaborate with technical and business stakeholders to gather requirements and design scalable solutions. Perform requirement analysis and create detailed architectural models for proposed solutions. Identify and troubleshoot operational issues, recommending strategies for improvement. Effectively communicate technical solutions to business users and address their concerns. Ensure solutions are compliant with corporate standards and regulatory requirements. Develop technical design specifications for engineers and systems teams. Assess the impact of proposed solutions, including resource allocation and implementation feasibility. Leverage Python libraries for data acquisition and integration tasks, such as API interaction, database connectivity, and web scraping. About Us At Gramener, we empower organizations to make data-driven decisions through strategic data consulting. We provide a roadmap for data transformation, helping businesses turn data into a strategic asset. Our services include data analysis, visualization, and delivering insights through a wide range of products and solutions to enable smarter decision-making.

About NetApp NetApp is the intelligent data infrastructure company, transforming disruption into new opportunities for every customer. We help organizations unlock the full potential of their data no matter the type, workload, or environment turning challenges into business possibilities. And it all starts with our people. If you re ready to bring fresh ideas to life and tackle each challenge with open-minded innovation, NetApp is the place for you. Here, we embrace diversity and openness it s in our DNA. Collaboration and asking for help when needed are essential parts of our culture. You ll have a supportive community and exciting opportunities to grow and make an impact. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher-performing organization." George Kurian, CEO Job Summary We are seeking a talented and motivated Software Engineer to join our Cloud Engineering team. In this role, you ll focus on developing and maintaining cloud-based solutions, solving complex coding challenges, and driving automation. The ideal candidate has a solid background in cloud technologies, software development, and automated testing. Job Responsibilities Assist in the design, development, and maintenance of software solutions that meet project requirements and development standards. Integrate various cloud services and APIs to improve functionality and performance. Identify, troubleshoot, and resolve system defects and issues, including code debugging and configuration fixes. Collaborate with cross-functional teams such as product management, operations, and other engineering teams to deliver high-quality cloud solutions. Create and maintain comprehensive documentation for software designs, APIs, and testing procedures. Develop, modify, and review test plans and implement improvements in software development processes and tools. Provide support for cloud marketplace offerings, including resolving customer issues with urgency. Technical Skills Proficiency in programming languages such as C, C++, Python, and scripting. Experience with Linux, AWS, Azure, GCP, and Kubernetes. Familiarity with SQL and document databases (e.g., MongoDB, Cassandra, Cosmos DB). Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI). Experience with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation, ARM). Proficiency in automated testing frameworks and tools. Education and Experience Minimum of 5+ years of experience in software development. Bachelor s degree in Computer Science or a related field is required. Working Environment At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. Most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. We help customers turn challenges into opportunities through fresh thinking and tailored approaches. We offer a healthy work-life balance, including: 40 hours of paid volunteer time off per year for employees to give back to their favorite causes. Comprehensive benefits covering health, life, and accident plans. Access to emotional support resources for employees and their families. Legal services and financial savings programs to help you plan for the future. Opportunities for professional and personal growth through educational assistance and perks that enhance your overall quality of life. Equal Opportunity Employer NetApp is committed to Equal Employment Opportunity (EEO) and compliance with laws that prohibit discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability, genetic information, pregnancy, or any other protected status. Apply Today Qualification : A bachelors degree in computer science or a similar field is required.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." - George Kurian, CEO Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and performance benchmarks to measure, analyze, visualize, and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of the ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in a high-growth sector of the tech industry. If you like creative problem-solving, are willing to constantly learn new technologies, and have a getting things done attitude, you may be just the person we re looking for! Job Requirements Proficient in Python and Python-based web frameworks. Knowledge of other scripting languages like Perl, Shell, and Expect is a plus. Experience in building/supporting automation frameworks (generally Python-based) and tools to measure and improve performance of complex software stacks. Demonstrated ability to learn new software stacks and be able to quickly prototype ideas. Experience with GenAI, AI/ML frameworks, and tools such as TensorFlow, PyTorch, LangChain, etc. will be a very strong advantage. Experience in big data technologies like Spark, Hadoop, and distributed storage systems for handling large-scale datasets will be a plus. Basic understanding of orchestration frameworks like Kubernetes and containerization technologies like Docker will be a plus. Knowledge of data storage systems and file systems will be a plus. Ability and willingness to adapt to a rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education 5 or more years of related experience. A Bachelor of Science degree in Computer Science Engineering, a Master s Degree, or a PhD. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. Qualification : A Bachelor of Science degree in Computer Science Engineering, a Masters Degree, or a PhD.