Network Design Engineer Jobs in Bengaluru

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Staff Engineer Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect level) Role Overview: Strategic Quality Leadership We are seeking a Staff Engineer to lead Solutions Test Automation for our next-generation Network Management System (SMx). This is a high-impact, strategic role requiring a deep mastery of networking protocols and modern GUI automation. You will drive complex automation projects, mentor junior engineers, and integrate AI-driven tools to redefine our testing methodologies and product reliability. Technical & Domain Expertise Networking & Fiber Optics: L2/L3 Protocols: Strong understanding of OSPF, BGP, ISIS, VLAN, and VRF. Protocol Mastery: Expert knowledge of Ethernet, TCP/IP, and SNMP. Telecom Infrastructure: Experience with fiber optics technology such as GPON and XGSPON is a significant advantage. Automation Stack: Frameworks: Proficiency in Robot Framework, PYART, and Playwright. GUI & API Testing: Extensive experience developing automated tests for complex enterprise GUI applications. Programming: Strong Python proficiency for script and framework development. DevOps Integration: Ability to integrate automated suites into CI/CD pipelines (Jenkins, GitLab) using Docker/Kubernetes. Key Responsibilities Leadership & Mentorship: Team Guidance: Mentor junior engineers, conduct rigorous code reviews, and foster a culture of technical excellence. Project Ownership: Drive the full automation lifecycle from strategy and environment planning to execution and results analysis. Innovation & Quality: AI-Driven Testing: Incorporate AI/ML tools (self-healing tests, visual validation) to enhance efficiency. Scenario Design: Leverage domain expertise to design realistic network topologies and simulate complex customer use cases. Continuous Improvement: Propose and implement enhancements in tools and methodologies to increase test coverage and reliability. Qualifications & Preferred Skills Experience: 12+ years in QA/Test Automation with a track record in progressively responsible leadership roles. Education: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Industry Context: Prior experience with NMS/EMS products (e.g., Calix AXOS, Cisco Prime) or OSS/BSS systems is a major plus. Soft Skills for Success Communication: Ability to explain complex technical networking concepts to non-technical stakeholders. Proactiveness: Staying updated on the latest industry trends and experimenting with new tools. Collaboration: A team player comfortable working in a hybrid environment with global teams. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Staff Engineer, Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect Level) The Opportunity: Strategic Quality Architect We are seeking a Staff Engineer to act as the technical architect for Solution Test Automation of our Network Management System (SMx). This senior individual contributor role requires a rare blend of deep L2/L3 networking expertise and proficiency in modern AI-driven automation. You will drive the vision for product quality, mentor a growing team, and solve the complex challenges of testing fiber-optic and telecom infrastructures. Technical Expertise & Domain Depth Networking & Fiber Optics: L2/L3 Protocols: Strong mastery of OSPF, BGP, ISIS, VLAN, and VRF. Network Protocols: Expert knowledge of Ethernet, TCP/IP, and SNMP. Optical Technology: Familiarity with GPON and XGSPON technologies and telecom network devices. Automation Stack: Framework Architecture: Advanced proficiency in Robot Framework, PYART, and Playwright. Programming: Expert Python skills for developing maintainable scripts and custom libraries. Modern Tooling: Experience implementing AI-based GUI testing and visual validation tools. CI/CD & DevOps: Integration of automated suites into Jenkins/GitLab CI using Docker/Kubernetes. Key Responsibilities Engineering Leadership & Mentorship: Team Guidance: Mentor junior automation engineers, conduct rigorous code reviews, and foster a high-performance culture. Project Ownership: Drive the end-to-end automation lifecycle from test strategy and environment planning to advanced results analytics. Cross-functional Alignment: Partner with Product Management and Dev teams to triage issues and align quality goals with release schedules. Innovation & Domain Application: Scenario Design: Leverage domain expertise to simulate realistic network topologies and complex customer use cases. Process Optimization: Champion the transition from manual efforts to high-efficiency automation by refining methodologies and frameworks. Troubleshooting: Resolve complex issues related to Optical Communication and Network Management Systems. What You Bring Proven Track Record: 12+ years in QA/Automation with significant experience in NMS/EMS or complex enterprise applications. Educational Background: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Soft Skills: Exceptional ability to simplify complex technical networking concepts for diverse stakeholders. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Lead Engineer Mobile Development Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice Wheels is India s leading used vehicle platform, revolutionizing the automotive ecosystem by organizing the fragmented pre-owned vehicle market. With the largest pan-India used car retail network, robust sourcing partnerships, a top-tier auto content platform, and a dominant position in enterprise solutions for banks, NBFCs, insurers, and OEMs, we are redefining the future of mobility through data, technology, and scale. Role Overview We are seeking a talented and experienced Lead Engineer Mobile Development to spearhead the design, development, and optimization of mobile applications across Android and iOS platforms. This role is ideal for a hands-on technical leader who thrives in a fast-paced environment, has deep expertise in Kotlin, Android, and iOS technologies, and can mentor teams while driving mobile projects from concept to deployment. Key Responsibilities 1. Technical Leadership & Architecture Lead the development of robust, scalable, and high-performing mobile applications for both Android and iOS platforms. Define and implement mobile architecture best practices, coding standards, and performance guidelines. Own the full mobile development lifecycle from architecture and design to deployment, monitoring, and maintenance. 2. Mobile Development & Hands-On Engineering Write clean, maintainable, and efficient code using Kotlin (including Kotlin Multiplatform), Android frameworks, and Swift/Objective-C for iOS. Build reusable libraries, components, and frameworks to streamline development. Implement modern UI/UX standards, animations, and seamless interactions for an exceptional user experience. Ensure apps are optimized for performance, battery usage, and responsiveness across devices. 3. Collaboration & Cross-Functional Coordination Work closely with Product Managers, UX/UI Designers, and Backend Engineers to translate product requirements into technical solutions. Integrate mobile applications with RESTful APIs and third-party SDKs. Coordinate with QA to ensure rigorous testing, debugging, and high-quality releases. 4. Innovation & Continuous Improvement Stay current with mobile development trends, tools, and best practices. Recommend and evaluate emerging technologies, frameworks, or tools to improve mobile development velocity and app performance. Continuously monitor and enhance the performance, stability, and usability of mobile applications. 5. Team Leadership & Mentorship Lead and mentor a team of mobile developers, fostering a culture of excellence, ownership, and learning. Conduct regular code reviews, provide technical guidance, and promote knowledge sharing. Manage development timelines, task allocation, and project delivery in collaboration with cross-functional teams. Qualifications & Skills Required Bachelor s or Master s degree in Computer Science, Engineering, or related discipline. 7+ years of hands-on experience in Android and iOS mobile application development. Deep expertise in Kotlin, Kotlin Multiplatform, and Android development (Android Studio, Jetpack components, Material Design). Proficiency in Swift and/or Objective-C for iOS development using Xcode and UIKit/SwiftUI. Solid experience integrating RESTful APIs, JSON, and third-party SDKs. Strong grasp of mobile architecture patterns such as MVVM, MVP, or Clean Architecture. Proven ability to publish and manage apps on Google Play Store and Apple App Store. Experience with performance profiling, memory optimization, and debugging tools. Preferred Experience with hybrid frameworks like Flutter or React Native. Familiarity with CI/CD pipelines, automation, and deployment tools. Working knowledge of Agile methodologies and tools like JIRA, Git, Jenkins, etc. Soft Skills Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and interpersonal skills to collaborate effectively across teams. Proven leadership capabilities and ability to mentor junior engineers in a high-growth environment. At Mahindra First Choice, you ll be part of a passionate, innovation-driven team that s transforming how India buys and sells used vehicles. This is a high-impact role with the opportunity to shape our mobile strategy and deliver apps used by thousands across the country. If you re looking to lead cutting-edge mobile projects and grow in a fast-paced tech-first environment, we d love to hear from you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related discipline

Job Title: Network Engineer Experience Required: 3 to 7 years Minimum Qualification: Bachelor of Engineering (BE) Location: Bengaluru Key Skills Network Architecture & Design Network Configuration & Troubleshooting CCNA or Equivalent Certification Routing Protocols: BGP, OSPF Firewalls & Network Security Routers & Switches Layer 2/Layer 3 Technologies IP Planning, QoS, NAT, Load Balancing Vendor Integration & System Testing Job Summary We are seeking a skilled and motivated Network Engineer with 3 7 years of hands-on experience in designing, implementing, and managing network infrastructure. The ideal candidate will possess strong technical knowledge in routing, switching, network security, and integration of multi-vendor systems. Key Responsibilities Design and implement robust network architectures tailored to business needs. Configure and maintain routers, switches, and firewalls across Layer 2 and Layer 3 technologies. Perform IP planning and network design, including the use of virtual routing domains. Implement and manage routing protocols such as BGP and OSPF. Configure and optimize QoS, NAT, and load balancing solutions. Integrate and manage networking components from various vendors. Collaborate with cross-functional teams for product development and system integration. Capture and document system/product requirements, high-level and low-level designs. Handle end-to-end implementation, integration, and configuration of networking subsystems. Work with customers, vendors, and OEMs to ensure smooth deployment and operation. Coordinate with certification agencies for product/documentation approval. Support system installation, commissioning, testing, and troubleshooting in production environments. Qualification : Bachelor of Engineering (BE)

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Software Engineer C++ Location: Bengaluru Overview: We are seeking a highly capable and detail-oriented C++ Software Engineer to join our core development team in Bengaluru. This role requires strong expertise in C++ across both Windows and Linux environments, with a focus on performance optimization, multithreading, and scalable architecture design. The ideal candidate will have hands-on experience in high-throughput systems such as image processing pipelines or neural network-driven applications. Key Responsibilities: Develop and maintain high-performance C++ applications for Windows and Linux platforms. Optimize processing cycles and memory usage for large-scale image pipelines (e.g., 1 GB/sec camera data). Design and implement robust object-oriented software architectures emphasizing scalability and modularity. Work with multi-threaded programming libraries such as pThreads, OpenMP, and OpenCL. Translate, implement, and optimize DSP algorithms and/or neural network architectures. Build, maintain, and distribute DLLs and static libraries. Design and document API architectures for internal and external integrations. Utilize state machine architecture for structured process flow when required. Implement and maintain test frameworks to ensure code quality and performance. Follow best practices throughout the software development lifecycle, including code reviews and CI/CD. Maintain clear documentation and write clean, readable, and maintainable code. Required Skills & Experience: Proven C++ expertise on Windows and Linux platforms. Strong knowledge of object-oriented programming, design patterns, and modular code design. Experience with multi-threaded programming and parallel architecture design. Proficiency in API development and system integration. Experience building and managing shared and static libraries. Skilled in algorithm optimization, especially for image processing or neural network use cases. Familiarity with software lifecycle best practices, agile methodologies, and version control. Strong commitment to documentation and code quality. Preferred Qualifications: Exposure to state machine architecture. Experience with DSP or image processing algorithms. Understanding of test-driven development and CI frameworks.

Network Engineer Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited Job Overview Qualcomm is seeking a highly skilled Network Engineer to join our global network operations team. This role will involve working in 24x7 rotational shifts, supporting a heterogenous global network infrastructure. You will be responsible for supporting, maintaining, and optimizing networks consisting of routers, switches, data center networking gear, and load balancers. The ideal candidate will have experience with Cisco, Aruba, Arista, and Citrix NetScaler technologies, as well as a strong background in monitoring and observability tools like Datadog, Splunk, and CAPM. Key Responsibilities Support a global network infrastructure including routers, switches, data center networking gear, and load balancers. Respond to support requests and troubleshoot service problems or outages. Perform upgrades, new installations, enhancements, and configuration changes as required. Develop and maintain documentation related to networking and IT operations. Adhere to corporate change management policies and practices. Assist in the deployment of global networks and work collaboratively with virtual teams across different regions. Support enterprise-wide initiatives and localized solutions spanning multiple departments and functions. Work closely with other IT groups to gather requirements and present solutions to meet business objectives. Support a broad range of IT networking architectures and implementations. Minimum Qualifications 4 to 5 years of experience in core networking skills including LAN, WAN, Data Center, and Load balancers. Prior solid experience in handling L2 and L3 network issues. 3+ years of working experience configuring Cisco IOS and/or NX-OS network equipment. Experience with networking protocols such as OSPF, EIGRP, BGP, STP, QoS, vPC/MLAG/CLAG, VXLAN, and 802.1x. Proficient in TCP/IP operations and troubleshooting. Experience with individual, group, and vendor-assisted troubleshooting. Experience working in large scale IT operations and high-risk networks. Familiarity with Python and Ansible automation for networking. CCNP Certification. Good experience supporting and implementing campus and data center networks. Excellent communication skills, both verbal and written. Preferred Qualifications Experience with Ansible and/or Python automation for networking. Ability to work as part of a virtual global/regional team with cultural and language differences. Experience with Datadog, Splunk, and CAPM as monitoring/observability tools. Solid understanding of IT networking architectures and implementations. Minimum Education Requirements Bachelor s degree in a technical field such as Computer Engineering, Computer Science, or Information Systems. Alternatively, 1+ year of work experience related to Networked Systems with a Bachelor's degree in a non-technical field. Or, 3+ years of work experience related to Networked Systems without a Bachelor's degree. Physical Requirements Ability to frequently transport and install equipment up to 20 lbs. About Qualcomm Qualcomm is a global leader in mobile and telecommunications technology. Our solutions power a wide range of devices, from smartphones to IoT, and we are shaping the future of networking and communication. Join us to help build next-generation network infrastructure and work with innovative technologies! Apply now and become part of Qualcomm's next-generation network engineering team! Qualification : Bachelors degree in a technical field such as Computer Engineering, Computer Science, or Information Systems.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Principal Engineer, Google Cloud VMware Engine Google - Bengaluru, Karnataka, India Join Google Cloud in Bengaluru, Karnataka, India and play a pivotal role in the Google Cloud VMware Engine (GCVE) team! Our mission is to empower customers to seamlessly move their VMware-based applications to Google Cloud without altering their existing apps, tools, or processes. As a Principal Engineer, you will spearhead the technical strategy for GCVE, driving the development of highly performant and scalable infrastructure with fully redundant and dedicated networking. You will ensure the availability necessary for demanding enterprise workloads and pioneer innovative solutions to dramatically reduce cloud migration timelines. In this critical role, you will lead the execution and delivery of the overall GCVE Systems Design. This includes influencing compute server design, platform architecture, network fabric, large cluster level Service Level Objectives (SLOs), reliability, observability, and alerting. You will also be instrumental in how these systems integrate with the broader Google Cloud Infrastructure and Services. Collaboration with external partners, particularly VMware, to co-create groundbreaking solutions will be a key aspect of this role. Leveraging your deep understanding of emerging cloud technologies, you will address the unique cloud requirements of VMware workloads. Your technical expertise will be crucial in bringing innovative software solutions to market, understanding enterprise workload requirements, and utilizing open source technologies. Google Cloud is dedicated to accelerating every organization's digital transformation. We provide enterprise-grade solutions leveraging Google s cutting-edge technology and developer-friendly tools. Join us as a trusted partner for customers in over 200 countries and territories, enabling their growth and solving their most critical business challenges. Responsibilities: Develop a forward-thinking technical roadmap for the Google Cloud VMware Engine organization, fostering continuous innovation and the implementation of novel systems solutions. Design, build, and deploy highly scalable solutions leveraging Google compute platforms, robust hardware, advanced networking, and sophisticated software infrastructure to deliver exceptional systems for VMware workloads at scale. Collaborate effectively across engineering teams involved in the build, design, and implementation of hardware and software spanning infrastructure domains such as platforms, server architecture, compute, storage, networking, and data analytics. Influence and establish best engineering practices for managing robust and scalable systems to proactively address exponential market demand. Provide technical leadership for cloud developer technology within Google and manage collaborations with cross-functional Engineering teams to optimize the adoption of Google Cloud Platform capabilities, both internally and for the broader cloud industry. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 15 years of experience in hardware and software design, data structures, and algorithms. Preferred Qualifications: Master's degree. Proven experience in delivering successfully within stipulated timelines. Demonstrated experience in successfully building software and large-scale distributed systems. Comprehensive understanding of private and public cloud design considerations and limitations in virtualization, global infrastructure, hypervisor technologies, networking, data storage, and security. Exceptional ability to work cross-functionally, partnering effectively with groups such as Sales, Engineering, Product Management, Product Marketing, UX, and UI, skillfully brokering trade-offs with stakeholders and understanding their diverse needs. Excellent narrative and storytelling skills with a proven ability to drive usage, adoption, and market momentum. Qualification : Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Lead Network Engineer DDI & LB Location: Bengaluru, India Company: Chevron Experience: 10-15 Years Position Overview Chevron is seeking a Lead Network Engineer to join our ENGINE team. In this role, you'll design, implement, and maintain network solutions including DDI, load balancing, and network security for Chevron s enterprise-wide infrastructure. Key Responsibilities Design and implement enterprise-wide network infrastructure solutions (DDI, Load Balancer, DNS, DHCP). Provide tier-3 support for network troubleshooting, including load balancers like F5 and Azure. Lead network architecture and consulting efforts for DDI systems (TCPWave, BlueCat, InfoBlox). Collaborate with global teams to develop agile solutions and improve operational efficiency. Develop technical design documentation and ensure network security compliance. Key Skills & Qualifications Bachelor's or Master's degree in Computer Science, IT, or a related field. 10-15 years of experience in network engineering and wireless communications. Expertise in network services (DNS, DHCP, IPAM) and load balancing (F5, Azure). CCNP or CCIE certification required; additional certifications in Azure or Windows Server are a plus. Advanced proficiency in English (both written and verbal). Benefits Competitive salary and benefits package Health, dental, and vision insurance Retirement savings plan Paid time off and work-life balance Professional development programs Apply Now Equal Opportunity Statement Chevron is an equal opportunity employer, committed to diversity and inclusion in the workplace. Qualification : Bachelor's or Master's degree in Computer Science, IT, or a related field.

Job Description: Senior Automation Engineer Description: We seek a highly skilled and experienced Senior Automation Engineer to join our dynamic team. In this role, you will be at the forefront of the design and development of automated systems and processes. As a Senior Automation Engineer, you will collaborate with cross-functional teams to deliver the design packages and ensure the highest quality and performance standards. The position may include complete or partial responsibility for the following assignments: Lead in understanding the scope of the project & carrying out the following activities as per the project requirement: Engineering/project budget estimates and schedules. Lead in the execution of engineering activities: Substation/Industrial automation design, preparation of network architectures, IO/Signal list preparation, schematic drawings, wiring diagrams, panel layouts, fiber-based networks, control building arrangements, interior and exterior raceways, auxiliary AC/DC power systems. Prepare BOMs/BOQs for different equipment specifications. Coordination of design activities with other departments within the organization whenever required. Provide leadership, training and mentoring to the team. Perform quality reviews for all the deliverables. Develop configurations and settings for Network switches, Data concentrators, RTUs, SCADA systems, PLCs, etc. Qualifications: Bachelor of Engineering in Electrical/Electronics/Telecommunications/Instrumentation. 8-12 years of work experience in the Design/Configuration/Testing of Substation automation systems or PLC-based projects. Expert knowledge of standard engineering techniques and procedures. Strong knowledge of different communication protocols like Modbus, DNP3, IEC-61850, etc. along with IEEE Standards. Knowledge & experience of working on Industrial Automation Projects is a plus. Knowledge and experience with software tools such as SEL AcSELerator RTAC, Quickset, SEL Architect & Diagram Builder is an added advantage. Excellent written and verbal communication skills. Experience with HMIs such as Aveva or Zenon System Platform is a plus. Experience with US utility clients is a plus. Experience with leading the team and delegating work tasks to team members. Strong attention to detail, facilitation, team building, collaboration, organization and problem-solving skills. Qualification : Bachelor of Engineering in Electrical/Electronics/Telecommunications/Instrumentation.

Software Engineer at Google (Android Focus) Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience with data structures or algorithms in either an academic or industry setting, and with Android application development. Experience in Android, Kotlin, Java, Mobile App Development, API Design. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. Experience developing accessible technologies. Experience in code and system health, diagnosis and resolution, and software test engineering. Experience in backend e-commerce, internationalization, and localization. About the Job: Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products from apps to TVs, from laptops to phones that have an impact on people s lives across the world. Responsibilities: Write product or system development code. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Position: Sr. Network & Security Systems Engineer Location: Payoda, Global Regions Experience: 12 15 years of IT and business/industry work experience Education: Diploma with 10+ years or Bachelor's in Computer Science, Information Systems, or related field. Equivalent work experience considered. Shift: 24/7 Job Overview: The Sr. Network & Security Systems Engineer will design, implement, and support VMware NSX-based solutions requested by sales managers for various global clients. The role requires advanced technical expertise in NSX environments, strong troubleshooting skills, and experience with networking and security technologies. The candidate will collaborate with cross-functional teams and provide expert-level support to ensure stability and performance of NSX deployments. Key Responsibilities: Review customer High-Level Design (HLD) and Low-Level Design (LLD) documents and assess feasibility, risks, and constraints. Work closely with L1 teams to address global customer problems via virtual meetings. Create and maintain Method of Procedures (MOP) for planned activities and real-time problem resolution. Prepare Root Cause Analysis (RCA) reports and suggest workarounds by consulting OEM knowledge bases. Design hybrid and multi-cloud solutions for private and multi-cloud infrastructures. Prepare Bill of Quantity (BOQ) and Bill of Materials (BOM) by working with internal and external SMEs. Provide technical documentation, including IP schemas and technical specifications. Continuously monitor advancements in virtualization, networking, security, and cloud technologies. Train and support other team members to offload repetitive tasks and take on complex tasks with practice. Technical Skills and Responsibilities: Provide security and network support for physical networking and firewall services. Deliver and maintain network and security infrastructures using NSX/NSX-T. Implement networking and VXLAN technologies and improve network manageability and scalability. Monitor integration with other software-defined networking technologies. Maintain VMware vROps (ARIA) for capacity planning and troubleshooting. Automate network deployment and configuration with integration of compute and storage automation. Support operations and maintenance of VMware virtual infrastructure. Improve customized outlines using NSX, vRA (ARIA), and vRO (ARIA). Key Success Factors: Extensive knowledge of Cisco and VMware products and solutions. Hands-on experience with network diagram tools like Visio and Lucidchart. Ability to build High-Level Design documents independently. Strong understanding of Cisco Solution Life Cycle Prepare-Plan-Design-Implement-Operate-Optimize. Ability to lead technical workshops and explain solutions to non-SMEs. Knowledge of cloud providers like AWS, Azure, and GCP. Required Skills: NSX-T, NSX-T Edge, NSX Firewall, NSX Load Balancer VMware Cloud Foundation vCenter and ESXi vRealize Network Insight and Log Insight Automation scripting experience in Python, PowerShell, or equivalent Experience with Agile development methodologies Certifications: VMware Certified Professional (VCP) or Expert VCP-NV VCDX-NV VCP NV-Adv-Professional Join Us! We offer a collaborative environment, continuous learning opportunities, and a chance to work on advanced technologies. Let s celebrate work and grow together! Qualification : Diploma with 10+ years or Bachelor's in Computer Science, Information Systems, or related field. Equivalent work experience considered.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

NVIDIA is searching for a highly motivated senior software engineer for the team that is building capabilities for a next generation Network management and Telemetry system in cloud using modern design principles at internet scale.The person will be will be responsible for building distributed cloud applications. It will be a highly scalable, modern network operations toolset that provides visibility, troubleshooting, validation and telemetry for Ethernet networks. What you'll be doing: Development of distributed cloud applications, micro services and SAAS platform with high throughput and reliability. Contribute to applications like data ingestion, distributed computing, near real time analytic engines, RESTful APIs and user interfaces. Drive requirement discussions, design and product improvements. Drive improvements in areas like performance, team productivity, automation, quality, monitoring and reliability of applications. Working closely with the system architects, UI/UX and test engineers What we need to see: Bachelors/Masters Degree in Computer Science/Engineering 5+ years of experience in complex microservices based architectures. Extensive programming experience in Scala, Go, Python Fluent in coding and rapid prototyping. Strong experience in developing, maintaining, and testing of scalable distributed applications. Experience with stream processing frameworks, such as Kafka,Flink , Spark Streaming, Samza etc. Background with NoSQL databases such as Cassandra, MongoDB. Experience with orchestration/scheduling technologies like Kubernetes, SLURM, Nomad etc Ways to stand out from the crowd: Experience with public clouds like AWS. Worked in Reactive application designs (https://www.reactivemanifesto.org/). Experience in network stacks, protocols, SDN. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way inground-breakingdevelopments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Qualification : Bachelors/Masters Degree in Computer Science/Engineering

Job Role: Front-End Specialist The Front-End Specialist will be responsible for validating customer orders submitted to the order desk, ensuring accurate network design, raising supplier purchase orders (POs), and maintaining the integrity of network inventory, systems, and databases. The role involves working closely with sales channels to verify customer requirements, raising workflow orders, and modeling various Vodafone fixed-line products in inventories to enable Transmission and IP configuration in the network, ultimately supporting successful provisioning activities. Key Accountabilities and Decision Ownership: Order Management: Create orders and build attributes in workflow tools within agreed SLAs and quality standards. Order Validation: Validate internal/external customer requests against checklists, generate order tracking references, and update customer information in the order tracking tool. Data Enrichment: Enrich digitally received orders in digital tools and record relevant customer order forms, site lists, and technical documents in the repository. Feasibility Checks: Confirm solution feasibility using feasibility tools and collaborate with the Feasibility team to ensure alignment with customer requirements. Customer Order Processing: Analyze customer requirements, check for technical documents and pricing, and raise customer orders in workflow tools. Exception Handling: Follow up on exceptions raised with the order originator and ensure timely resolution. Customer Communication: Send KCI (Keep Customer Informed) templates to originators with order-related information after validation. Supplier Management: Check financial margin and commercial viability of supplier quotes and raise POs in SAP against these quotes. Network Configuration: Create customer location, devices, and third-party network blocks. Configure VRFs in L3 NNIs, SDWAN bearers, and Internet Gateway in Cramer. Build end-to-end circuits in Transmission Inventory and generate Work Action Group tasks for SDH builds, cross-connects, and field engineer activities. Model end-to-end customer circuits from network site to customer location and create technical routing and service configurations. Generate circuit references in Cramer for IP builds in MSP, SDWAN, and Internet networks. Update circuit references in various inventories and close tasks in the workflow system. Issue Escalation: Raise process/product issues to the Front-End Manager. Ensure order accuracy and timely raising of customer orders in systems. Collaboration: Work closely with solution sales, feasibility planners, and order workflow managers to ensure first-time-right order placement. Technical and Professional Qualifications: Strong understanding of telecom fixed-line products, technologies, and systems. Good knowledge of SDH, IP, Routing & Switching concepts. Basic understanding of financial and non-financial metrics related to profit and loss performance. 3 years of operational experience in a telecom company. University degree or equivalent full-time qualification. Strong communication skills, customer focus, and the ability to handle workload peaks in a fast-paced sales environment. Qualification : University degree or equivalent full-time qualification.

About the Role: We are seeking a highly skilled Cybersecurity and Automation Systems Engineer to design and implement automation systems, safety systems, and package system networks with a focus on digital transformation and cybersecurity. The ideal candidate will have experience in managing complex network and cybersecurity configurations and hardening, including solutions like Active Directory, SIEM, IDS, Firewalls, Cloud Computing (AWS/Azure), and other key technologies. This role will involve working with various teams, including OEMs, vendors, and customers, to ensure that all project activities meet deadlines, adhere to safety standards, and align with the overall project requirements. Key Responsibilities: Project Management & Coordination: Manage and oversee project scope, including coordination between various project teams, ensuring all activities align with project goals. Act as the main focal point for coordination with OEMs, subcontractors, and vendors. Cybersecurity & Network Design: Design, configure, deploy, and maintain cybersecurity systems, including firewalls, routers, switches, IDS/IPS, patch management, antivirus software, and more. Ensure networks are resilient to cyber-attacks and monitor traffic for suspicious activity. Engineering & Documentation: Prepare and review engineering and construction documents, such as method statements, testing procedures, and planning documents. Ensure timely approvals and compliance with industry standards. Network & Cybersecurity Tools: Deploy and manage solutions for Active Directory, EDR, WSUS, RADIUS, Log Management, SIEM, NCM, backup solutions, and other key cybersecurity protocols. Maintain a secure network infrastructure to prevent unauthorized access and potential cyber threats. Standards & Best Practices: Ensure that all systems and configurations comply with industry standards (e.g., ISA, Shell, CERT, NIST, ISO 27001/2, CIS, PCI-DSS). Stay up-to-date on emerging trends in cybersecurity and apply relevant frameworks. Collaborative Support: Work closely with the project team to achieve goals within the scheduled timelines, providing technical expertise and guidance on network security and automation solutions. Technical Analysis & Risk Management: Identify and evaluate opportunities for technical improvements in cybersecurity systems and network designs. Provide recommendations for system enhancements and communicate the economic justification for those improvements. Communication & Stakeholder Engagement: Communicate complex technical concepts to both technical and non-technical stakeholders, ensuring alignment across all parties. Collaborate effectively within a fast-paced environment to meet project deliverables. Professional Attributes: Strong analytical skills with a structured approach to problem-solving. Excellent communication and interpersonal skills, able to explain technical topics clearly to clients and stakeholders. Creativity and innovation in solving complex problems and the ability to perform under pressure. Leadership and proactive attitude to motivate teams and drive successful project outcomes. Required Qualifications & Certifications: Educational Requirements: Bachelor's degree in Engineering (Electrical & Electronics, Electronics & Communication, Electronics and Instrumentation, Control & Instrumentation, Computer Science, IT). Professional Experience: 8-10 years of relevant experience in cybersecurity, network design, and automation systems. Cybersecurity Certifications: CISSP, CISA, CISM, GICSP, ISA/IEC62443, or equivalent certifications are required. Technical Expertise: In-depth understanding of networking and cybersecurity concepts, tools, and techniques, including Active Directory, SIEM, IDS/IPS, firewalls, routers, switches, and cloud security (AWS, Azure). Industry Knowledge: Familiarity with industry standards like ISA, Shell, CERT, NIST, and relevant cybersecurity frameworks. Desired Skills: Experience with Cybersecurity Certifications such as Certified Information Systems Security Professional (CISSP), CompTIA Security+, and related certifications. Proficient in MS Office and related project management tools. Ability to work independently and as part of a team, meeting deadlines and managing multiple tasks. Qualification : Bachelor's degree in Engineering (Electrical & Electronics, Electronics & Communication, Electronics and Instrumentation, Control & Instrumentation, Computer Science, IT).