21,641 Backend Systems jobs in India
Senior Software Engineer - Backend Systems
Posted today
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- Designing and implementing robust, scalable backend services using Java and Spring Boot.
- Developing and maintaining RESTful APIs for seamless integration with frontend applications and third-party services.
- Writing comprehensive unit and integration tests to ensure code quality and reliability.
- Collaborating with the DevOps team to streamline CI/CD pipelines and deployment processes.
- Participating in agile development ceremonies, including sprint planning, daily stand-ups, and retrospectives.
- Troubleshooting and resolving production issues promptly to minimize downtime.
- Mentoring and guiding junior software engineers, fostering a culture of learning and growth.
- Staying abreast of emerging technologies and industry trends to propose innovative solutions.
- Contributing to architectural decisions and technology stack selection.
- Ensuring the security and performance of all backend systems.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of professional experience in backend software development.
- Strong proficiency in Java, Spring Boot, and related frameworks.
- Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
- Familiarity with microservices architecture, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal abilities.
- Experience with Agile methodologies is required.
- Knowledge of frontend technologies is a plus.
Remote Senior Software Engineer - Backend Systems
Posted 3 days ago
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Graduate Software Developer - Backend Systems
Posted 2 days ago
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Job Description
Responsibilities:
- Assist in the design, development, testing, and deployment of backend services and APIs using modern programming languages (e.g., Java, Python, Node.js).
- Write clean, efficient, well-documented, and maintainable code according to established coding standards and best practices.
- Collaborate with senior engineers and cross-functional teams (frontend, QA, DevOps) to understand project requirements and deliver high-quality software.
- Participate in code reviews, providing constructive feedback to peers and incorporating feedback into your own work.
- Learn and implement database technologies (e.g., SQL, NoSQL) for data storage and retrieval, ensuring data integrity and performance.
- Contribute to the development and maintenance of microservices architecture.
- Assist in troubleshooting and debugging software issues, identifying root causes, and implementing effective solutions.
- Develop and execute unit tests and integration tests to ensure the reliability and functionality of software components.
- Gain exposure to CI/CD pipelines and DevOps practices.
- Stay updated with emerging technologies and industry trends in backend development.
- Participate in all phases of the software development lifecycle (SDLC) within an Agile framework.
- Contribute to the continuous improvement of development processes and tools.
- Learn to optimize application performance and scalability.
Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
- Solid understanding of object-oriented programming (OOP) principles.
- Proficiency in at least one backend programming language such as Java, Python, or Node.js.
- Familiarity with web services, RESTful APIs, and data formats like JSON.
- Basic knowledge of database concepts and SQL.
- Understanding of version control systems, particularly Git.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and teamwork abilities.
- A proactive attitude, a strong desire to learn, and a passion for software development.
- Ability to work effectively in a team-oriented, office-based environment.
This is a fantastic opportunity for motivated graduates to launch their careers in software development. If you are eager to learn, build impactful software, and contribute to a leading tech company, we encourage you to apply.
Senior Software Architect - Backend Systems
Posted 1 day ago
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Job Description
Key Responsibilities:
- Design and architect robust, scalable, and maintainable backend systems.
- Define technical standards, patterns, and best practices for software development.
- Lead the evaluation and adoption of new technologies and frameworks.
- Collaborate with product managers and stakeholders to translate business requirements into technical designs.
- Mentor and guide software engineering teams, fostering a culture of technical excellence.
- Ensure the performance, scalability, and reliability of backend services.
- Oversee the implementation of security best practices within the architecture.
- Conduct code reviews and provide constructive feedback to development teams.
- Troubleshoot and resolve complex technical issues.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software development, with at least 4 years in a software architecture role.
- Proven experience designing and building large-scale distributed systems and microservices.
- Proficiency in one or more backend programming languages (e.g., Java, Python, Go, Node.js).
- Strong understanding of RESTful APIs, gRPC, and data modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Excellent leadership, communication, and problem-solving skills.
- Familiarity with agile development methodologies.
C++ Backend Engineer (Systems)
Posted today
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Job Description
About the Role
We are seeking a highly skilled and experienced C++ Backend Engineer to join our core technology team. Please note: This is not a traditional web backend role. You will be responsible for designing, developing, and maintaining the critical system services and tools that run directly on our Linux-based EEG Headset . You will work at the intersection of hardware, firmware, and software, architecting robust solutions for real-time data handling, device management, and system operations on an embedded platform. Youll closely work with key stakeholders on hardware and software to ensure the deployment of a scalable and performant system software.
Roles and Responsibilities
- System Services Development: Architect, develop, package (DEB/APT), deploy, and maintain Linux system services and daemons that interface directly with our EEG hardware.
- Device Integration: Design and implement kernel modules, user-space drivers, and interfaces that enable high-throughput, low-latency data acquisition from EEG sensors.
- Real-Time Data Pipelines: Build and optimize high-frequency data capture, buffering, and streaming pipelines to support real-time signal processing.
- Tooling & Automation: Develop developer tools, test harnesses, and CI/CD pipelines tailored for embedded Linux devices.
- System Architecture: Collaborate with firmware, signal-processing, and frontend teams to define scalable architectures that meet stringent performance and reliability targets.
- Agile Execution: Participate in sprint planning, code reviews, pair programming, and retrospectives, continuously improving our agile processes.
Requirements
- Hands-On Linux Expertise: Deep understanding of Linux OS internals (kernel subsystems, module programming, system services, packaging DEB-based applications).
- C++ Proficiency: 34 years of professional experience in modern C++ (11/14/17), including STL, concurrency, memory management, and performance tuning.
- Computer Architecture: Strong grasp of CPU architecture, caching, memory hierarchy, and their impact on real-time performance.
- Real-Time Systems: Proven experience building or optimizing hard/soft real-time or near-real-time systems; knowledge of RT patches or real-time scheduling a plus.
- Signal Processing Foundations: Solid understanding of digital signal processing techniques, filter design, sampling theory, and noise reduction.
- Software Fundamentals: Expertise in data structures, algorithms, multithreading, interprocess communication, and design patterns.
- Agile Practices: Familiarity with Scrum/Kanban, user stories, continuous integration, and test-driven development.
Preferred Skills
- Designs and builds scalable, maintainable systems with a strong focus on reliability and performance.
- Writes clean, modular code and leads code reviews to uphold engineering standards across the team.
- Thinks like a product owner, aligning technical decisions with user impact and business outcomes.
- Mentors peers, collaborates across functions, and communicates complex ideas clearly to any audience.
- Thrives in ambiguity, takes ownership end-to-end, and adapts quickly to shifting startup priorities.
Qualifications
- Bachelors or Masters degree in computer science, information technology, or a related field.
- Certifications or related credentials on Linux fundamentals or related areas is a plus.
C++ Backend Engineer (Systems)
Posted 14 days ago
Job Viewed
Job Description
About the Role
We are seeking a highly skilled and experienced C++ Backend Engineer to join our core technology team. Please note: This is not a traditional web backend role. You will be responsible for designing, developing, and maintaining the critical system services and tools that run directly on our Linux-based EEG Headset . You will work at the intersection of hardware, firmware, and software, architecting robust solutions for real-time data handling, device management, and system operations on an embedded platform. Youll closely work with key stakeholders on hardware and software to ensure the deployment of a scalable and performant system software.
Roles and Responsibilities
- System Services Development: Architect, develop, package (DEB/APT), deploy, and maintain Linux system services and daemons that interface directly with our EEG hardware.
- Device Integration: Design and implement kernel modules, user-space drivers, and interfaces that enable high-throughput, low-latency data acquisition from EEG sensors.
- Real-Time Data Pipelines: Build and optimize high-frequency data capture, buffering, and streaming pipelines to support real-time signal processing.
- Tooling & Automation: Develop developer tools, test harnesses, and CI/CD pipelines tailored for embedded Linux devices.
- System Architecture: Collaborate with firmware, signal-processing, and frontend teams to define scalable architectures that meet stringent performance and reliability targets.
- Agile Execution: Participate in sprint planning, code reviews, pair programming, and retrospectives, continuously improving our agile processes.
Requirements
- Hands-On Linux Expertise: Deep understanding of Linux OS internals (kernel subsystems, module programming, system services, packaging DEB-based applications).
- C++ Proficiency: 34 years of professional experience in modern C++ (11/14/17), including STL, concurrency, memory management, and performance tuning.
- Computer Architecture: Strong grasp of CPU architecture, caching, memory hierarchy, and their impact on real-time performance.
- Real-Time Systems: Proven experience building or optimizing hard/soft real-time or near-real-time systems; knowledge of RT patches or real-time scheduling a plus.
- Signal Processing Foundations: Solid understanding of digital signal processing techniques, filter design, sampling theory, and noise reduction.
- Software Fundamentals: Expertise in data structures, algorithms, multithreading, interprocess communication, and design patterns.
- Agile Practices: Familiarity with Scrum/Kanban, user stories, continuous integration, and test-driven development.
Preferred Skills
- Designs and builds scalable, maintainable systems with a strong focus on reliability and performance.
- Writes clean, modular code and leads code reviews to uphold engineering standards across the team.
- Thinks like a product owner, aligning technical decisions with user impact and business outcomes.
- Mentors peers, collaborates across functions, and communicates complex ideas clearly to any audience.
- Thrives in ambiguity, takes ownership end-to-end, and adapts quickly to shifting startup priorities.
Qualifications
- Bachelors or Masters degree in computer science, information technology, or a related field.
- Certifications or related credentials on Linux fundamentals or related areas is a plus.
Backend Engineer, ML Systems
Posted today
Job Viewed
Job Description
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Our Recommendations team works on delivering item recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. This role is for engineers who are passionate about bringing sophisticated machine learning and Generative AI models from prototype to production, ensuring they are robust, scalable, and performant.
As a Machine Learning Engineer, you will be the driving force behind building, deploying, and scaling our cutting-edge recommendation-as-a-service platform. You will be responsible for the entire ML lifecycle in a production environment. You will engineer the data pipelines that feed our models, build the infrastructure to train and serve them, and develop the APIs that deliver personalized experiences to millions of users. You will work at the intersection of machine learning and software engineering, solving complex challenges in system design, MLOps, and the operationalization of the latest Generative AI technologies.
This Is An Opportunity To
Design, build, and maintain scalable, production-grade machine learning systems for real-time recommendations and generative services.
Develop and own the MLOps pipelines for continuous integration, continuous delivery (CI/CD), training, validation, and monitoring of all recommendation models.
Engineer robust data pipelines using big data technologies to process vast datasets for model training and feature engineering.
Implement and optimize both traditional ML models and state-of-the-art Generative AI models (including LLMs) for low-latency serving and high-throughput environments.
Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production-ready code.
Develop and manage the APIs and infrastructure necessary for serving recommendations and integrating with other systems.
Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team.
Monitor system performance, identify and resolve production issues, and continuously improve the reliability and efficiency of our ML services.
Qualifications
MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering
Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
Experience in big data distributed processing frameworks, e.g. Apache Hadoop, Spark, Flink
Experience with ML frameworks like TensorFlow and PyTorch from a production perspective. Experience with serving frameworks (TensorFlow Serving, TorchServe, NVIDIA Triton) and libraries for LLM operations (LangChain, Hugging Face Transformers) preferred.
Proven ability to build and manage CI/CD pipelines for ML models, including proficiency with containerization (Docker, Kubernetes).
Experience with using cloud services, big data pipelines and databases, e.g. AWS, GCP, Azure
Proven ability to design and build scalable, distributed systems and expose their functionality through well-designed RESTful or gRPC APIs
A deep understanding of the challenges and requirements of running machine learning in a live, 24/7 production environment, including monitoring, alerting, and incident response
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
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Lead Backend Developer - Scalable Systems
Posted today
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Senior Backend Engineer, ML Systems
Posted today
Job Viewed
Job Description
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Our Recommendations team works on delivering item recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting. This role is for senior engineers who are passionate about bringing sophisticated machine learning and Generative AI models from prototype to production, ensuring they are robust, scalable, and performant.
As a Senior ML Engineer, you will be the driving force behind building, deploying, and scaling our cutting-edge recommendation-as-a-service platform. You will be responsible for the entire ML lifecycle in a production environment. You will engineer the data pipelines that feed our models, build the infrastructure to train and serve them, and develop the APIs that deliver personalized experiences to millions of users. You will work at the intersection of machine learning and software engineering, solving complex challenges in system design, MLOps, and the operationalization of the latest Generative AI technologies.
This Is An Opportunity To
Design, build, and maintain scalable, production-grade machine learning systems for real-time recommendations and generative services.
Develop and own the MLOps pipelines for continuous integration, continuous delivery (CI/CD), training, validation, and monitoring of all recommendation models.
Engineer robust data pipelines using big data technologies to process vast datasets for model training and feature engineering.
Implement and optimize both traditional ML models and state-of-the-art Generative AI models (including LLMs) for low-latency serving and high-throughput environments.
Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production-ready code.
Develop and manage the APIs and infrastructure necessary for serving recommendations and integrating with other systems.
Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team.
Monitor system performance, identify and resolve production issues, and continuously improve the reliability and efficiency of our ML services.
Mentors other team members through code reviews, technical guidance, architecture design, and pair programming.
Qualifications
MS in Computer Science or related area with 6 years of relevant work experience (or BS/BA with 8 years) in ML / AI / Data Engineering
Expert in production engineering practices and software development in an OO language (Scala, Java, etc.)
Extensive experience in big data distributed processing frameworks, e.g. Apache Hadoop, Spark, Flink
Experience with ML frameworks like TensorFlow and PyTorch from a production perspective. Experience with serving frameworks (TensorFlow Serving, TorchServe, NVIDIA Triton) and libraries for LLM operations (LangChain, Hugging Face Transformers) preferred.
Proven ability to build and manage CI/CD pipelines for ML models, including proficiency with containerization (Docker, Kubernetes).
Experience with using cloud services, big data pipelines and databases, e.g. AWS, GCP, Azure
Proven ability to design and build scalable, distributed systems and expose their functionality through well-designed RESTful or gRPC APIs
A masterful understanding of the challenges and requirements of running machine learning in a live, 24/7 production environment, including monitoring, alerting, and incident response
Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.
System Software Engineer
Posted today
Job Viewed
Job Description
We are looking for a 'full stack' engineer who can move quickly between Windows, Mac, frontend, backend, networking, native development, and much more. If you're experienced with various technologies, a fast learner and have a “get things done” mentality, we'd love to hear from you! In this role, you will play a significant part in helping to craft and guide the future of Cloud Gaming experience for our GeForce Now application. The Full Stack role provides technical excellence within the application tier of a multi-layer application architecture. You will serve as the technical domain authority for development spanning across multiple applications and product lines.
GeForce NOW is NVIDIA's Cloud Gaming service streaming games at the highest quality to any and every user regardless of their device types and capabilities – low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and software, GeForce NOW transforms the gaming experience with always up-to-date games on always the latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play! For more details see .
What you’ll be doing:
Design and Deliver high performance applications for desktop and mobile platforms.
Work closely with our PM and design teams to define feature specifications and build the next generation of products using frameworks such as Angular & React.
Work closely with operations for reliability and scalability of our features.
Work with backend architects to build RESTful APIS.
Web or mobile application development with variety of languages but not limited to using HTML, CSS, and JavaScript.
Develop and optimize front-end UI to ensure applications are rendered consistently in cross-platform environments.
Develop complex, responsive native and web applications.
Optimize application for maximum performance, reliability and scalability.
Build front-end code templates using HTML5, CSS, JavaScript, and JSON/XML as well as JavaScript frameworks such as jQuery AngularJS, React, and GruntJS, Chromium Embedded Framework (CEF).
Collaborate on design reviews with Architects on the team.
What we need to see:
B.E./MTech Computer Science or related field, or equivalent experience.
3+ years of working experience in end user facing application development.
Should have a proven work portfolio of cross platform and scalable application for end users.
Good interpersonal skills and experience presenting with and handling the expectations of both technical and non-technical partners.
Extensive experience consuming RESTful web-services.
Create configuration, build, and test scripts for Continuous Integration environments, application deployment, web security.
Experience with distributed source control systems – Git, Jenkins.
Proven passion for user experience design and improving usability.
Strong working experience with Agile development methodology in real world projects.
Hands on knowledge on application security.
Ways to stand out from the crowd:
Show previous experience with developing cloud-based applications at scale.
Knowledge of low level networking or OS internals (Windows, Mac, Android).
Demonstrate delivery of projects in previous roles.