1,901 Servicenow Development jobs in India
ServiceNow Development Lead
Posted 6 days ago
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Job Description
- ServiceNow technical lead is a key role responsible for overseeing the design/development and implementation of ServiceNow solutions, ensuring alignment with business objective and best practices. This role involves leading technical teams, managing project lifecycles, collaborating with business stakeholders and providing expertise in ServiceNow platform and capabilities.
- Key responsibilities include:
- · Expert in leading a team and providing guidance to junior developers, proficient in engaging with business stakeholders/cross functional teams to gather requirements and deliver enhancements
- · Expert in designing/implementing multiple catalog items by collaborating with the business stakeholders
- · Must have strong experience in integrating multiple large enterprise systems using APIs, REST/SOAP protocols, authentication mechanisms
- · Strong knowledge on Glide APIs, server/client-side scripting, Scripted Rest API, portal architecture
- · Must have excellent oral and written communication/presentation/negotiation skills
- · Detail-oriented, able to identify issues, and consistently collaborate to solve problems in a timely manner
- · Total 8+ years of IT experience with minimum 5 years of ServiceNow development exposure with a proven track record in leading teams
- · Must have ability to execute Agile practices to facilitate team management and project delivery
- · Strong skills in monitoring platform for optimal performance and availability
- · Must have ability to create/update SDLC documentations, manuals for the functionalities developed
- · Work experience with large BioPharma/Biotech industries and knowledge of GxP process is a plus
- · Must be a Certified Application Developer along with any implementation specialist
Principal Software Development Engineer - Platform Development (AWS/Azure)
Posted 2 days ago
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Job Description
25WD88166
**Location:** Bengaluru, IN (Hybrid)
**Position Overview:**
As a Principal Software Development Engineer, you will join the **Engineering & DevOps Services (EDS)** team within **AI, Data & Automation (AIDA)** at Autodesk. Our team drives the **Enterprise AI Strategy** by building and operationalising the **Enterprise AI Fabric** , enabling intelligent search, LLM-powered workflows, and AI-driven agents across Autodesk. Our team has a lot of visibility and the impact of our work is directly related to Autodesk business results. We value the culture, transparency and collaboration in our team and at Autodesk in general, we take pride in our global diversity and how we work and talk with one another. This is a hybrid role based in Bengaluru, India.
**Job Description:**
We are looking for a highly skilled Principal Software Development Engineer (SDE-IV) to lead the development and operationalisation of AI Platforms. This role combines hands-on engineering with platform ownership, ensuring the successful implementation of tools and frameworks that enable intelligent search, LLM-powered actions, and AI-driven productivity agents across the organisation.
You will play a pivotal role in designing, building, and deploying AI-enabled solutions that integrate with enterprise collaboration platforms and intranet websites. As a senior engineer, you will also guide junior developers, influence architectural decisions, and ensure scalability, security, and adoption of enterprise AI tools.
**Responsibilities**
**Technical Excellence & Engineering**
+ Demonstrate deep expertise in areas such as cloud infrastructure, distributed systems, and event-driven architectures
+ Design and evolve large-scale, reliable, and secure systems with a focus on performance, maintainability, and operational excellence
+ Stay hands-on when needed-prototyping, debugging, and delivering high-impact components
+ Apply deep platform development expertise in AWS Cloud, including caching, load balancing, auto-scaling, database redundancy and resiliency, performance monitoring, hosting patterns, and full-stack platform architecture across all layers
**Platform Engineering & Architecture**
+ Build foundational platforms and shared services that enable rapid development and innovation across multiple teams
+ Design systems for extensibility, multi-tenancy, and future growth - not just immediate product requirements
+ Champion reusable "building blocks" over siloed point solutions
+ Drive adoption of AI Agent Platforms, working with emerging standards like MCP, embedding Trusted AI governance, and enabling LLM-powered actions across enterprise systems
**Strategic & Business Alignment**
+ Connect technical decisions to broader business goals (e.g., cost optimization, customer impact, faster time to market)
+ Prioritize initiatives based on a balance of technical merit and strategic business value
+ Influence product direction through a strong technical voice in cross-functional forums
**Technical Leadership**
+ Lead through influence and expertise across diverse engineering teams
+ Drive architectural decisions, mentor senior engineers, and contribute to a culture of engineering rigor and excellence
+ Facilitate knowledge sharing, tech strategy reviews, and cross-team collaboration
**Systems Thinking & Complex Problem Solving**
+ Approach challenges holistically, considering code, infrastructure, team dynamics, and business context
+ Navigate ambiguity and deliver clarity through well-thought-out decisions and forward-looking designs
+ Balance short-term execution with long-term system health and scalability
**Cross-Functional Communication & Collaboration**
+ Communicate clearly and effectively with technical and non-technical audiences, from engineers to executives
+ Adapt communication styles to suit the audience - technical deep dives vs. strategic roadmaps
+ Build strong partnerships with Product, Infrastructure, Security, and Business teams
**Execution & Results Delivery**
+ Own delivery from concept through deployment and adoption - ensuring business and customer impact
+ Decompose complex initiatives into actionable work across teams, ensuring high-quality execution
+ Lead cross-team engineering programs with clarity, accountability, and alignment
**Adaptability & Continuous Learning**
+ Stay current on evolving technologies, best practices, and industry trends
+ Encourage experimentation and innovation in tools, architecture, and engineering processes
+ Foster a team culture grounded in curiosity, learning, and continuous improvement
**Minimum Qualifications**
+ 10+ years of professional software development experience, including deep expertise in building and scaling distributed systems, cloud-native platforms (AWS, Azure, or GCP), and event-driven architectures
+ Proven platform development experience in AWS Cloud across caching, load balancing, auto-scaling, database redundancy/resiliency, performance monitoring, hosting patterns, and full-stack platform architecture
+ Expertise in Python (or similar modern programming languages) with experience delivering scalable, production-grade systems
+ Demonstrated ownership of end-to-end system design, development, and operational excellence for critical production systems
+ Strong understanding of security best practices, observability (monitoring, logging, alerting), and reliability engineering principles
+ Experience in designing and evolving AI/LLM-driven platforms, including AI Agent Platforms, MCP, Trusted AI governance, and LLM-enabled enterprise actions
+ Proven ability to design and evolve foundational platforms that accelerate development across multiple business units
+ Demonstrated ownership of initiatives from idea to production launch, with measurable business or customer impact
+ Experience working across multiple technical domains (e.g., backend, cloud infrastructure, security, data engineering, automation, CI/CD) and demonstrated ability to quickly ramp up on new technologies
+ Experience leading cross-functional initiatives and collaborating with product, security, operations, infrastructure, and business teams
+ Ability to solve ambiguous, complex problems by considering technical, business, and organizational perspectives
+ Excellent communication and influencing skills with the ability to engage diverse technical and non-technical stakeholders, including senior leadership
+ Experience mentoring senior engineers and fostering a culture of engineering excellence
+ Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
**Preferred Qualifications**
+ Experience in participating or driving "Tech Culture" initiatives like Engineering Excellence and Reliability Programs
+ Master's degree in Computer Science or a related technical discipline
+ Experience in building AI and Machine Learning solutions, with practical exposure to AI Agent Platforms, Trusted AI, and LLM-enabled automation
+ Experience scaling systems to users or high-throughput enterprise environments
+ Contributions to open-source projects, technical publications, or speaking at major industry events
+ Hands-on experience with modern DevOps practices, CI/CD pipelines, and infrastructure as code (IaC)
#LI-RV1
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).
Senior Software Engineer - Cloud Platform Development
Posted 14 days ago
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Job Description
Responsibilities:
- Design, develop, deploy, and maintain scalable and reliable cloud-native applications and microservices.
- Architect and implement robust solutions on major cloud platforms (AWS, Azure, or GCP), leveraging services like Kubernetes, Docker, serverless functions, and managed databases.
- Write clean, efficient, well-documented, and testable code in languages such as Java, Python, Go, or Node.js.
- Collaborate with cross-functional teams, including product managers, architects, and other engineers, to define and deliver new features.
- Develop and implement CI/CD pipelines for automated testing, integration, and deployment.
- Monitor system performance, identify bottlenecks, and implement optimizations to ensure high availability and low latency.
- Troubleshoot and resolve complex technical issues in production environments.
- Participate in code reviews, providing constructive feedback to peers.
- Contribute to architectural discussions and decisions, driving best practices in software design and development.
- Ensure the security and compliance of cloud infrastructure and applications.
- Mentor junior engineers and foster a culture of technical excellence.
- Stay abreast of the latest advancements in cloud computing, DevOps, and software engineering.
- Contribute to the development of internal tools and frameworks to improve developer productivity.
- Write technical documentation and participate in knowledge sharing sessions.
- Engage in on-call rotation to support production systems.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 6 years of professional software development experience, with at least 3 years focused on cloud platforms.
- Strong proficiency in at least one major cloud provider (AWS, Azure, or GCP) and its core services.
- Expertise in building and operating microservices architectures using containers (Docker) and orchestration tools (Kubernetes).
- Solid understanding of distributed systems principles, data structures, and algorithms.
- Experience with one or more backend programming languages (Java, Python, Go, Node.js, etc.).
- Proficiency in infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, CircleCI).
- Knowledge of database technologies (SQL and NoSQL) and caching strategies.
- Strong understanding of networking concepts and security best practices in cloud environments.
- Excellent problem-solving, analytical, and debugging skills.
- Effective communication and collaboration abilities.
- Experience with Agile development methodologies.
- Contributions to open-source projects are a plus.
Senior Software Engineer - Cloud Platform Development
Posted 20 days ago
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Job Description
Key Responsibilities:
- Design, develop, and deploy scalable and reliable microservices and distributed systems on cloud platforms.
- Write clean, maintainable, and efficient code in languages such as Java, Python, Go, or Node.js.
- Collaborate with architects and senior engineers to define technical roadmaps and system designs.
- Implement and manage CI/CD pipelines for automated testing and deployment.
- Optimize application performance, scalability, and resource utilization in cloud environments.
- Troubleshoot and resolve complex software defects and production issues.
- Participate in code reviews to ensure code quality and share knowledge with team members.
- Contribute to the development of API gateways, service discovery mechanisms, and message queuing systems.
- Ensure adherence to security best practices throughout the software development lifecycle.
- Mentor junior engineers and contribute to a culture of continuous learning and improvement.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 6 years of professional experience in software development.
- Proven experience in building and deploying applications on cloud platforms like AWS, Azure, or GCP.
- Strong understanding of microservices architecture, RESTful APIs, and design patterns.
- Proficiency in at least one modern programming language (e.g., Java, Python, Go, Node.js).
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Solid understanding of database technologies (SQL and NoSQL).
- Familiarity with CI/CD tools and practices (e.g., Jenkins, GitLab CI).
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and teamwork abilities.
- Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation is a plus.
Senior Machine Learning Engineer - AI Platform Development
Posted 17 days ago
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Job Description
Key Responsibilities:
- Design, build, and maintain scalable machine learning systems and AI pipelines.
- Develop and implement ML models, including deep learning architectures, for various AI applications.
- Optimize model performance, efficiency, and resource utilization.
- Collaborate with data scientists to experiment with new algorithms and techniques.
- Deploy ML models into production environments and ensure their reliability and maintainability.
- Work with software engineers to integrate ML models into larger applications and platforms.
- Perform data preprocessing, feature engineering, and data augmentation.
- Monitor model performance in production and implement necessary adjustments.
- Stay up-to-date with the latest advancements in AI, ML, and related technologies.
- Document ML systems, processes, and results clearly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-8 years of progressive experience in machine learning engineering or a related role.
- Strong proficiency in Python and experience with ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn.
- Deep understanding of various ML algorithms, neural networks, and statistical modeling.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Familiarity with big data technologies (e.g., Spark) and database systems.
- Excellent analytical, problem-solving, and software development skills.
- Strong communication and collaboration abilities.
- Experience working effectively in a hybrid team setting.
- This role is based in Delhi, Delhi, IN , with a hybrid work arrangement.
Principal Educational Technologist - E-Learning Platform Development
Posted 18 days ago
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Job Description
- Leading the design and development of scalable and engaging e-learning experiences.
- Developing and maintaining high-quality instructional materials, multimedia content, and interactive modules.
- Evaluating and recommending new educational technologies and platforms to enhance learning outcomes.
- Providing expert consultation on instructional design best practices and online pedagogy to faculty and staff.
- Overseeing the administration and optimization of the Learning Management System (LMS).
- Managing relationships with external content providers and technology vendors.
- Developing and conducting training sessions on educational technology tools and methodologies.
- Analyzing learning data and user feedback to continuously improve course design and delivery.
- Leading a team of instructional designers and educational technologists.
- Staying abreast of trends and research in educational technology and online learning.
- Ensuring accessibility and compliance with relevant standards (e.g., WCAG) for all digital learning materials.
- Contributing to the strategic vision for digital education within the organization.
Embedded System Developer (for Media/Automotive Platform development)
Posted today
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Job Description
Company Description
NETSILICA is a forward-thinking company driving a world powered by Software Defined Everything and Artificial Intelligence. We offer scalable solutions for complex systems spanning silicon, middleware, application services, connected, and cloud. NETSILICA delivers tailored technology services across Automotive, Telecom & Media, Hi-Tech, and Semiconductors. With advanced capabilities in Data, Cloud, AI/ML, DevOps, Virtualization, and Automation, we enable seamless digital transformation. Founded in Bangalore in 2025 by alumni of IISc and IITs, NETSILICA's leadership team has over 100 years of combined industry expertise.
Location:
Bangalore/Remote
Experience:
3–9 years
Job Summary:
We are seeking a hands on Embedded System Developer experienced in multimedia, graphics, and real time video systems for embedded Linux or RTOS based platforms. Role involves developing and optimizing software for Network Video Recorders (NVRs), Digital Display Controllers, and Surround View Systems using C/C++, GStreamer, Qt/QML, LVGL frameworks.
Candidates with working experience on different SoC platforms preferred
Key Responsibilities:
- Design and develop embedded applications for video capture, streaming, encoding, rendering, and display control
- Implement multi stream video pipelines using GStreamer, V4L2, and Hardware Codecs (H.264/H.265)
- Develop GUI applications for NVR and Digital Display Systems using Qt6/QML/LVGL/Wayland
- Work on camera discovery ONVIF protocol integration, and RTSP streaming
- Optimize system performance for low-latency video rendering and 4K/HD multi display management
- Integrate hardware components such as image sensors, GPUs, display panels, and HDMI/LVDS interfaces
- Collaborate with cross functional teams for board bring up BSP integration and system testing
- Develop and maintain build systems (Yocto/Buildroot) and ensure Secure Boot + OTA update support
- Participate in code reviews, unit testing, and documentation
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Excellent problem-solving and analytical skills
- Strong collaboration and teamwork capabilities
- Experience with Embedded Media/Automotive Devices, Middleware, Frameworks, Stacks and Protocols
- Deep Embedded Media or Automotive domain experience
- Strong C programming skills
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Embedded Engineer (Linux kernel and Android platform development)
Posted 6 days ago
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Job Description
Experience: 6–8 years
Location: Bangalore
Immediate Joiners highly preferred
Key Responsibilities:
- Design, develop, and maintain Linux kernel modules, device drivers, and Android HAL components .
- Work across the Linux kernel, Android framework, and application layers to deliver robust features.
- Perform system-level testing, validation, and debugging for Linux/Android platforms.
- Develop test cases, automation scripts, and validation frameworks .
- Debug and resolve issues related to performance, stability, and memory .
- Collaborate with hardware, QA, and system teams for seamless integration.
- Optimise system performance (boot time, power, memory) .
Required Skills:
- 6–8 years of experience in Linux kernel and Android platform development .
- Strong proficiency in C programming (kernel/user space) and C++/Java/Kotlin (Android).
- Hands-on experience with device driver development (I2C, SPI, UART, USB, PCIe, Camera).
- Good knowledge of Android HAL and AOSP build system .
- Experience with testing and automation frameworks (JUnit, Espresso, UI Automator, Python/Shell scripting).
- Strong debugging skills using GDB, adb, strace, systrace, perf, logcat .
- Familiarity with Linux/Android system internals (processes, memory, IPC, security).
Senior Software Development Engineer - Cloud Platform
Posted 21 days ago
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Job Description
The ideal candidate will possess a strong foundation in computer science principles and extensive experience in cloud environments (AWS, Azure, or GCP). You should be proficient in one or more programming languages commonly used in cloud development, such as Java, Python, Go, or Node.js, and have a solid understanding of containerization technologies like Docker and Kubernetes. Experience with CI/CD pipelines, infrastructure as code (IaC), and database technologies is highly desirable. Excellent problem-solving skills, a passion for clean code, and the ability to collaborate effectively within an agile team are essential. This hybrid role offers the opportunity to work on challenging technical problems while also fostering professional growth in a dynamic and supportive environment.
Responsibilities:
- Design, develop, and maintain scalable microservices and APIs for cloud platforms.
- Write clean, efficient, and well-documented code in relevant programming languages.
- Implement and manage CI/CD pipelines for automated build, test, and deployment.
- Utilize cloud services (AWS, Azure, GCP) to build and deploy applications.
- Develop and maintain infrastructure as code using tools like Terraform or CloudFormation.
- Implement monitoring, logging, and alerting solutions for cloud applications.
- Collaborate with cross-functional teams to define system requirements and architecture.
- Perform code reviews and provide constructive feedback to peers.
- Troubleshoot and resolve complex technical issues in production environments.
- Stay current with emerging cloud technologies and best practices.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of professional software development experience, with a focus on cloud technologies.
- Strong proficiency in at least one cloud platform (AWS, Azure, or GCP).
- Expertise in programming languages such as Java, Python, Go, or Node.js.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD tools and practices.
- Knowledge of databases (SQL and NoSQL) and caching mechanisms.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities.
- Experience with distributed systems and microservices architecture.
Principal Software Development Engineer - AI Data Platform
Posted 2 days ago
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Job Description
Oracle's Forward Deployed Engineer (FDE) team is hiring a Principal Software Development Engineer - AI Data Platform to help global customers unlock the full potential of their data. You will provide expert architectural guidance focused on designing, optimizing, and scaling modern AI/ML-centric data platforms. As a key member of Oracle's Analytics and AI Service Excellence organization, you will work closely with enterprise customers, product management, and engineering to ensure seamless adoption of Oracle AI Data Platform, Gen AI services, and associated cloud technologies.
**Key Responsibilities:**
+ Design, implement, and maintain scalable software components and services that support AI/ML workloads.
+ Build APIs, SDKs, and automation frameworks to streamline the adoption of Oracle AI Data Platform and Gen AI services.
+ Optimize performance, scalability, and reliability of distributed data/AI systems.
+ Collaborate with cross-functional teams (engineering, product, and field) to solve complex technical challenges.
+ Participate in code reviews, testing, and CI/CD to ensure high-quality deliverables.
+ Document technical designs and contribute to knowledge-sharing (e.g., blogs, internal docs, demos).
+ Continuously explore new tools, frameworks, and best practices in AI, cloud, and data engineering.
**Responsibilities**
**Primary Skills:**
+ Experience with LLMs and agentic frameworks (e.g., MCP, LangChain, CrewAI, Semantic Kernel).
+ Knowledge of RAG pipelines and vector DBs (e.g., 23ai, FAISS, Pinecone, Weaviate).
+ Familiarity with OCI Gen AI Services and model lifecycle workflows.
+ Solid Python and REST API skills.
+ Exposure to building autonomous agents and orchestration pipelines.
+ Experience working with cloud platforms like Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Big Data Service (BDS) and Big Data Appliance (BDA).
+ Proficiency in big data technologies such as Hadoop, Spark, Kafka, and Nosql
+ Design and implement scalable, secure, and efficient complex data architectures.
+ Manage and optimize large-scale databases.
+ Must have a solid understanding of networking concepts to design and optimize data transmission networks, configure network settings, and diagnose and resolve network-related issues.
+ Troubleshooting and problem-solving skills
+ Excellent communication and collaboration skills
+ Commitment to continuous learning and staying up-to-date with the latest big data technologies and trends
**Desirable Skills:**
+ Worked with multiple Cloud Platforms.
+ Certification in Big Data or a related field.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.