Edge Computing Jobs in Bengaluru

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Job Title: Backend Engineer Location: Bangalore Team: Market Making Team Employment Type: Full-Time About FalconX At FalconX, we re on a mission to revolutionize institutional access to the crypto markets. We combine the best of traditional finance with the cutting-edge technology of the digital asset space, solving the industry's toughest challenges. Our platform provides comprehensive solutions for digital asset strategies, empowering clients to navigate the rapidly evolving cryptocurrency landscape with confidence and precision. Our team is composed of operators, investors, and builders committed to shaping the future of crypto assets. By leveraging speed, transparency, and trust, we re helping to make crypto a viable and successful asset class for financial institutions worldwide. The Team Role The Quant Team at FalconX is divided into three verticals: Services: Focuses on complex pricing and risk management methodologies, building execution strategies for our OTC desks. Options Market Making: A team dedicated to market-making derivatives, managing both service-driven and profit-driven strategies. D1 Team: Quantitative traders providing market-making services, with discretionary risk ownership for linear products. As a Backend Engineer on the Market Making Team, you ll play a pivotal role in developing and enhancing backend infrastructure, contributing to the systems that power FalconX s trading strategies, risk management, and product development. What You ll Do Develop & Enhance Backend Infrastructure: Collaborate closely with the Market Making team to build scalable and robust backend systems that support complex pricing and risk management for new crypto products. Model Development: Contribute to the development of core models that support the three verticals of the team, providing crucial tools for the business. Cross-Functional Collaboration: Work with teams across design, product management, traders, quants, and trade operations to deliver user-friendly and high-performance applications. Solve Complex Technical Problems: Tackle high-impact technical challenges, working on innovative products such as correlation exotics, missing data volatility pricing, and more. Drive Product Innovation: Get involved in the most advanced products within the crypto space, with a focus on market-making solutions for institutional clients. Qualifications: Advanced Degree in Computer Science, Mathematics, or a related field. Proficiency in Python and familiarity with low-level languages (C, C++, Go, etc.). Experience with basic UI frameworks is a plus. Familiarity with distributed systems and large-scale infrastructure. Knowledge of derivative products and risk management frameworks. Strong understanding of data structures, algorithms, and design patterns. Problem-solving skills with a detail-oriented approach. Strong communication skills and a collaborative mindset to work efficiently across teams. Ability to thrive in a fast-paced, agile development environment. Bonus Criteria: Experience working with exotic financial products. Experience with risk management in trading environments. Familiarity with numerical methods and optimization techniques. Experience with React for frontend or UI integration. Innovation at the Cutting Edge: Work on the forefront of cryptocurrency market-making, helping shape the future of institutional crypto trading. Collaborative Environment: Join a dynamic and cross-functional team with the opportunity to work alongside some of the most talented professionals in the fintech and crypto space. Fast-Paced Growth: FalconX is an early-stage startup with a high-growth trajectory, offering a unique opportunity to drive impactful solutions in the rapidly evolving crypto industry. Competitive Compensation: We offer a competitive salary and benefits package, with the potential for equity participation in a high-growth company. Revolutionize Crypto Trading: Be part of a company that is redefining the way financial institutions interact with the crypto market. Exposure to Cutting-Edge Tech: Work with the latest technologies in a fast-paced, evolving environment. Empower Institutional Clients: Help some of the largest financial institutions around the world navigate the complexities of the crypto asset space. If you're ready to take on the challenge of building the future of crypto trading infrastructure, we want to hear from you!

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Machine Learning Engineer - Speech AI (ASR & TTS) Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a pioneering generative AI startup headquartered in Bengaluru, India. We specialize in leading transformative research and development in speech and language technologies. Focused on building state-of-the-art ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models, particularly for Indic languages, we aim to redefine human-computer interaction with cutting-edge, AI-driven solutions. Join us as we push the boundaries of Speech AI to create inclusive, scalable, and intelligent voice-based applications for diverse communities worldwide. Role Overview We are seeking an experienced Machine Learning Engineer specializing in Speech AI (ASR & TTS). The ideal candidate will work on deep learning-based ASR and TTS models, improving accuracy, efficiency, and multilingual capabilities while deploying them at scale. The role involves developing and optimizing speech recognition and synthesis models with a focus on low-resource languages, real-time inference, and scalability. If you have a passion for speech processing and deep learning, this is a great opportunity to make a significant impact in a rapidly growing field. Key Responsibilities ASR (Automatic Speech Recognition) Develop, train, and optimize speech-to-text models using state-of-the-art architectures like Wav2Vec, Whisper, Conformer, and DeepSpeech. Implement techniques for low-latency ASR inference, including beam search, language model integration, and real-time transcription. Improve speech recognition accuracy for low-resource languages, especially Indic languages, using transfer learning and data augmentation. Optimize ASR pipelines for noise robustness, speaker adaptation, and domain-specific transcription. TTS (Text-to-Speech) Develop and fine-tune neural TTS models such as Tacotron, FastSpeech, VITS, or WaveNet for high-quality, natural-sounding speech synthesis. Implement multilingual and expressive TTS models with prosody and emotion control. Optimize TTS inference for deployment on edge devices, mobile, and cloud platforms. Improve speech synthesis quality through voice cloning, neural vocoders (HiFi-GAN, WaveGlow), and prosody modeling. General Speech AI Responsibilities Benchmark and profile ASR/TTS models to improve latency, efficiency, and deployment performance. Deploy scalable speech AI APIs on AWS, Azure, or GCP for real-world applications. Optimize ASR & TTS models for edge and offline inference. Stay updated with the latest advancements in speech AI, neural vocoders, and real-time inference techniques. Must-Have Qualifications Experience: 2-3 years of experience in speech AI, deep learning, or machine learning, with a focus on ASR & TTS. Education: Bachelor s or Master s degree in Computer Science, AI/ML, Speech Processing, or a related field. ML Frameworks: Proficiency in PyTorch or TensorFlow for training and deploying ASR/TTS models. ASR Expertise: Experience with speech-to-text architectures like Whisper, Wav2Vec, Conformer, or DeepSpeech. TTS Expertise: Experience with speech synthesis models like Tacotron, FastSpeech, or VITS. Speech Signal Processing: Understanding of MFCCs, STFT, phonemes, prosody modeling, and feature extraction. Inference Optimization: Hands-on experience with TensorRT, ONNX, or quantization (INT8, FP16) for ASR/TTS. Cloud & Edge Deployment: Experience deploying speech models on AWS, GCP, or Azure. Preferred Qualifications Experience with speech diarization, speaker recognition, or language modeling for ASR. Familiarity with zero-shot TTS, voice cloning, and multilingual speech modeling. Understanding of CUDA optimization and low-bit quantization for ASR/TTS models. Contributions to open-source speech AI projects or a strong GitHub portfolio showcasing relevant work. Experience with real-time streaming ASR/TTS applications and low-latency inference. Innovative Impact: Work on AI-driven speech solutions that are changing how people interact with technology, especially in low-resource languages. Cutting-Edge Technology: Contribute to the development of state-of-the-art speech AI models in a rapidly advancing field. Collaborative Environment: Work with a team of experts in AI, machine learning, and speech processing, in a startup culture. Growth Opportunities: Sarvam.ai offers exciting career growth in a fast-paced environment with opportunities for personal and professional development. Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub links showcasing their experience in ASR, TTS, or Speech AI. Strong AI-related projects, whether in industry, research, or personal work, will be highly valued. Qualification : Bachelors or Masters degree in Computer Science, AI/ML, Speech Processing, or a related field.

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.

Java Developer Digital Engine Services Company: Pratt & Whitney Location: Bengaluru Experience: 5 8 years Job Type: Full-time About Us Pratt & Whitney, a Raytheon Technologies company, designs the world s most advanced aircraft engines. Our digital transformation efforts include connected engines and diagnostic platforms, enabling safer and smarter flight. Join our global team of innovators redefining aerospace. Role Summary We're hiring a skilled Java Developer to work on our DPHM Ground Station platform, managing engine data ingestion, transfer, and diagnostics. You will develop cloud-based microservices and automation tools to support predictive maintenance and fleet insights. Responsibilities Design and develop Java microservices for file ingestion and transfer. Work with AWS services (Lambda, S3) for cloud-native development. Manage Apache Kafka-based data pipelines. Automate alerts and monitoring systems for engine data processing. Build CI/CD pipelines and implement unit/integration testing. Define KPIs and create dashboards using data cubes and APIs. Collaborate with P&WC IT for DevSecOps and troubleshooting. Qualifications Bachelor s/Master s in Software Engineering or Computer Science. 5 8 years of experience in Java, OOP, cloud, and messaging systems. Hands-on with Kafka, AWS Lambda, CI/CD, and GitHub. Excellent English communication and teamwork skills. Preferred AWS certification IoT data pipeline experience Familiarity with C#/C++ Benefits Flexible work schedules Parental leave and childcare support Career development programs Health and savings plans Apply Now Equal Opportunity Employer All applicants are considered without regard to race, gender, disability, veteran status, or other protected attributes. RTX is an equal opportunity employer. Qualification : Bachelors/Masters in Software Engineering or Computer Science.

Job Title: Pre-Sales Solution Architect Fintech & Digital Transformation Location: Bangalore Experience: 12 15 Years Preferred Expertise: .NET, Cloud Technologies, API Development, Fintech Solutions, Digital Transformation Job Overview We are seeking a dynamic and experienced Pre-Sales Solution Architect to lead the solutioning and proposal creation for Fintech and Digital Transformation projects. The ideal candidate will bring a solid background in solution architecture, pre-sales engineering, and technical consulting, with expertise in .NET technologies being a significant advantage. In this role, you will collaborate closely with sales, product, and engineering teams to design innovative solutions, craft detailed proposals, and engage in technical discussions with clients, ultimately driving the success of our sales efforts. Key Responsibilities Client Requirements & Solution Proposal: Partner with sales teams to understand client business needs and technical requirements, crafting customized and scalable solutions. Solution Architecture & Design: Develop comprehensive solution architectures, system designs, and technical roadmaps tailored to client specifications and industry best practices. Technical Leadership: Lead and actively participate in technical discussions, Proof of Concepts (PoCs), and product demos for enterprise clients, ensuring clarity on feasibility and value. Hands-on Technical Expertise: Provide deep technical guidance and expertise in .NET technologies (C#, ASP.NET, .NET Core), cloud platforms (Azure, AWS, GCP), microservices, and APIs. Proposal & RFP Development: Author detailed technical proposals, respond to RFPs, and create compelling case studies that highlight the company s capabilities and successful project outcomes. Collaboration with Engineering: Work alongside engineering teams to assess the feasibility and scalability of proposed solutions, ensuring alignment with both technical and business goals. Stakeholder Engagement: Engage with C-level executives, business stakeholders, and technical teams to align on proposed solutions, ensuring that both technical and business objectives are met. Continuous Learning & Trends: Stay abreast of the latest trends and advancements in Fintech, cloud technologies, microservices, API development, DevOps practices, and cybersecurity to maintain a competitive edge. Required Skills & Qualifications Experience: 12-15 years in solution architecture, technical consulting, or pre-sales engineering. Technical Expertise: Strong proficiency in .NET technologies (C#, ASP.NET, .NET Core) and cloud platforms (Azure, AWS, GCP). Experience designing solutions using microservices, API gateways, event-driven architectures, and serverless computing. Expertise in enterprise system integrations, security best practices, and performance optimization. Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation. Communication & Stakeholder Management: Exceptional communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Proven experience engaging with C-level executives, business leaders, and technical teams to drive technical discussions and decision-making. Documentation & Proposal Writing: Demonstrated ability to author high-quality technical documentation, proposals, and RFP responses that are clear, concise, and compelling. Certifications: Certification in Cloud Architecture (Azure Solutions Architect, AWS Certified Solutions Architect, etc.) is a plus. Preferred Qualifications Industry Expertise: Prior experience working in Fintech, Digital Transformation, or related fields is highly preferred. Technical Skills: Familiarity with microservices architecture, API development, cloud-native applications, and advanced cybersecurity practices. This is a fantastic opportunity for an experienced Pre-Sales Solution Architect to play a key role in driving business outcomes through innovative and tailored technical solutions for the Fintech and Digital Transformation sectors. If you have the skills and passion for working in a dynamic, forward-thinking environment, we would love to hear from you!

Job Title: Computer Vision Location: Bengaluru, India Type: Full-time Roles and Responsibilities: Constantly research, prototype and build solutions to computer vision problems. Actively find new solutions that we can provide to industry-specific problems. Build prototypes to display new analysis and insight. Build new tools to streamline the overall process flow as requirements develop. Add new features to existing tools. Requirements: Strong command over all computer vision related use-cases, algorithms and approaches. Familiarity with Deep Learning frameworks such as TensorFlow (and keras), PyTorch, and strong experience in at least one of those. [Using Python programming language is a must.]. Familiar with different machine learning algorithms and when to use them. Strong math fundamentals in areas including but not limited to linear algebra and computational geometry. Ability to write clean, concise and well documented code. Familiar with version control, writing tests and writing documentation. Open to learning new technologies and languages. Comfortable working in a low monitoring/guidance environment. Strong sense of initiative, ownership, urgency and drive. Experience in training and applying CNNs on various datasets. Excellent organisational and leadership skills. Basically we re looking for people who are passionate about solving problems, and doing things the best way. If this is like you, we look forward to hearing from you. Years of Experience: 2- 8 years

Job Description: Senior Software Development Engineer - Oracle Cloud Infrastructure Core Services Development Team Role: Senior Software Development Engineer Team: OCI Virtual Networking Core Services Development Team Location: India Career Level: IC3 Experience: 4+ years Overview: Oracle's Cloud Infrastructure (OCI) is building state-of-the-art infrastructure-as-a-service (IaaS) technologies that operate at high scale across a globally distributed, multi-tenant cloud. The OCI Virtual Networking team is at the heart of this effort, developing distributed, highly available virtual networking services. This team is responsible for foundational cloud services, such as the Virtual Cloud Network (VCN), VPN, Customer Cloud Connectivity, Network Firewalls, and other edge services. As a Senior Software Development Engineer, you will be responsible for designing, developing, and optimizing complex distributed systems that interact with end users and network infrastructure. Your role will involve working on distributed services, developing algorithms for efficient data transfer across networks, and ensuring scalability and reliability within Oracle's cloud environment. You will work closely with a collaborative, agile team of engineers while contributing to building the future of cloud networking services. Key Responsibilities: Software Development & Design: Design, develop, and implement distributed networking services within OCI's Virtual Cloud Network (VCN). Focus on writing clean, maintainable, and optimized code to enhance performance and scalability. Develop and optimize algorithms to ensure efficient data transfer and network operations across the distributed cloud infrastructure. Ensure the performance and scalability of the code, especially when deployed in a cloud environment. Collaboration & Agile Work Environment: Collaborate closely with cross-functional teams in a fast-paced, agile development environment. Participate in the full software development lifecycle, from planning and design to testing and deployment. Work with other team members to ensure the integration of various OCI services, with a focus on automation and scalability. Operational Support & Troubleshooting: Contribute to the operational support of production services, including on-call duties. Troubleshoot and resolve complex issues, ensuring high availability and reliability of networking services. Provide technical leadership and contribute to the continuous improvement of the services. Leadership & Mentorship: Take ownership of parts of the service and its components, leading from design to implementation. Mentor junior engineers and provide technical guidance and support. Share knowledge and contribute to the team s growth through code reviews, knowledge-sharing sessions, and coaching. Technical and Professional Requirements: Programming Expertise: Expert-level experience with Java in developing large-scale, high-performance applications. Experience in concurrent programming and the design of distributed systems. Proficiency in solving complex problems related to scalability, performance, and reliability in cloud environments. Cloud & Distributed Systems: Experience in building and maintaining distributed, scalable services, especially within cloud infrastructures. Strong knowledge of cloud technologies and networking protocols. System Design & Optimization: Solid understanding of system architecture, including how components interact in a distributed, cloud-based system. Ability to optimize code for performance and scalability in production environments. Operational Understanding: Experience in operating production services and providing support during on-call rotations. Understanding of troubleshooting complex system issues, particularly in a distributed cloud environment. Team Collaboration & Communication: Ability to work in a collaborative and agile team environment. Strong verbal and written communication skills for effective coordination across teams. Preferred Qualifications: Experience in Large-Scale Distributed Services: Prior experience in building and scaling distributed services, particularly in cloud or network-related domains. Python Skills: Knowledge of Python for scripting, automation, and solving network-related problems is a plus. Additional Skills: Experience with cloud services, such as VPN, firewalls, network connectivity, and network security. Exposure to containerization technologies such as Docker and orchestration tools like Kubernetes is advantageous. Educational Requirements: Bachelor s or Master s degree in Computer Science, Electrical/Hardware Engineering, or a related field. At Oracle, you will have the opportunity to work on cutting-edge technologies that power cloud networking at a global scale. You will be part of a dynamic and innovative team, contributing to the development of highly scalable and distributed networking services within Oracle's cloud infrastructure. Your expertise will be crucial to driving the evolution of cloud technologies, and you will have a chance to mentor junior engineers while working in a collaborative, fast-paced environment. Qualification : Bachelors or Masters degree in Computer Science, Electrical/Hardware Engineering, or a related field.

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

Job Title: Digital Transformation Leader Industrial Manufacturing and Aerospace Engineering Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, combining market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what s next for their businesses. We are committed to delivering tangible impact through cutting-edge solutions across industries. My Role: As a Digital Transformation Leader and Subject Matter Expert (SME) in the Industrial Manufacturing and Aerospace Engineering & R&D domains, I will play a pivotal role in shaping the future of our client's digital journey. This includes understanding day-to-day industry activities and leveraging this knowledge to lead projects and build high-performing teams. You will: Lead the development and delivery of digital transformation initiatives in industrial manufacturing and aerospace engineering, specifically focusing on digital continuity, engineering transformation, and model-based systems engineering. Act as a thought leader and industry expert, driving innovative solutions to address customer challenges. Develop and manage digital offers, go-to-market strategies, and key technology solutions for global OEMs and industry players, ensuring alignment with business objectives and ROI. Lead and mentor a team of consultants, ensuring the successful deployment of industry-leading digital transformation projects. Collaborate with sales teams, customers, and stakeholders to generate new business opportunities for Capgemini Invent. Articulate thought leadership by conducting industry studies, identifying future trends, and promoting Capgemini's branding. Manage cross-functional teams and work on market strategies for servitization models or after-sales support, leveraging new product/solution development. Build and foster strong customer relationships, using your process/technology expertise to develop solutions tailored to their business needs. Drive innovation by integrating Industry 4.0 technologies such as IoT, cloud, AR/VR, automation, digital twins, blockchain, and RFID into customized offerings for clients. My Profile: Qualifications (Must Have): 14+ years of experience in consulting and the Industrial/Aerospace industry, with a focus on Engineering and R&D consulting. Strong Project Management experience. Good to Have: Business Consulting experience. PMP certification. What You ll Love About Working Here: Flexible work arrangements to support work-life balance, including remote work and flexible hours. Career growth opportunities through various programs and professions designed to help you explore a world of possibilities. Access to certifications in the latest technologies such as Generative AI, enabling you to stay ahead in your field. About Capgemini: Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world. With 340,000 team members across more than 50 countries, Capgemini leverages its market-leading capabilities in AI, cloud, and data to address the full range of business needs, from strategy and design to engineering. Trusted by clients for over 55 years, Capgemini reported global revenues of 22.5 billion in 2023.

Job Title: System Software Development Engineer Functional Safety Job Description: The Intel Client Computing Group (CCG) Edge Software division is seeking experienced professionals in system software development for embedded product applications. This role offers an exciting opportunity to be part of a high-impact team responsible for enabling Functional Safety (FuSa) Software/Firmware solutions for Intel Edge platforms. Key Responsibilities: Develop Functional Safety (FuSa) firmware and software solutions as part of the system software development team. Take ownership of specific software/firmware modules, ensuring their compliance with FuSa standards such as IEC 61508 and DO-178C. Conduct unit testing, static and dynamic analysis, and maintain traceability of requirements. Create software collaterals and documentation that meet FuSa standards. Perform integration activities for milestone releases, Best Known Configuration (BKC) updates, and user guide preparation for customer enablement. Qualifications & Requirements: Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: Minimum 5+ years of experience in embedded system software development. Programming Skills: Proficiency in C/C++. Scripting Expertise: Experience with scripting languages such as Python and Perl for test case development. Operating Systems: Strong knowledge of Linux System Software and Real-Time Operating Systems (RTOS). Debugging & Toolchains: Hands-on experience with embedded software debugging tools and code versioning toolchains. Software Development & Integration: In-depth understanding of software development methodologies, integration processes, and source code management systems (e.g., GitHub). Collaboration & Communication: Excellent written and verbal communication skills, with a strong ability to document technical processes effectively. Soft Skills: Strong analytical, organizational, and problem-solving skills, with a proactive, resourceful, and self-motivated approach to work. About the Client Computing Group (CCG): The Client Computing Group (CCG) at Intel drives business strategy and product development for Intel's PC platforms, covering a range of form factors including notebooks, desktops, 2-in-1s, and all-in-one devices. Working closely with industry partners, CCG aims to deliver cutting-edge computing experiences that empower individuals to focus, create, and connect in meaningful ways. As Intel s largest business unit, CCG fuels innovation and advances Intel s mission to enrich lives through technology. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under local law. Intel offers one of the best total compensation packages in the industry, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive healthcare, retirement plans, and paid time off. Professional development opportunities and career growth support. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

We are looking for a Senior System Software Engineer! As a member of our NVLink development team, you will drive feature enablement post silicon and firmware/verification infrastructure for our next-generation GPUs that enable high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus. What you'll be doing: Drive bringup, feature enablement and debug on GPU systems post silicon. Collaborate with architecture, hardware and software teams on feature design, development and enabling. Triage and resolve firmware issues during customer quals/in the field. Log bugs, track coverage metrics, and perform gap analysis. Work on developing automation tools and infrastructure to improve our firmware development, regressions, and verification process What we need to see: BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field 5+ years of minimum experience in a software development role Excellent debugging and analytical skills Software Verification, DFx knowledge is a bonus Experience with Python/Perl/C/C++ Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc.). Excellent interpersonal skills and ability to collaborate with on-site and remote teams Ways to stand out from the crowd: You're passionate about low-level software development/ debugging / verification Experience with HW/SW interactions Experience with RTOS/RISCV programming/debugging Ability to work independently with minimum supervision Schedule-oriented with excellent execution abilities 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 in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Qualification : BE / B.Tech or ME / M.Tech (or equivalent experience) degree in EE/CS or related field

This is our life s work to amplify human imagination and intelligence. And we have only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working and creative people to help us take on some of these once-in-a-lifetime opportunities. As a key member of the NVIDIA Partner Network Team for NVIDIA's Enterprise business units, we are looking for a Partner Business executive for Global System Integrators (GSI)and Service Delivery Partners (SDP) in India who will manage the business relationship with the key Indian Global System Integrators. What you'll be doing: Manage the business relationship with the identified key GSI/SDPs in India and help them evolve into world class partners for providing AI enabled Services. Work with the leadership teams of the GSI/SDPs and ensure that a clear strategy is defined to help them provide AI enabled Services. Devise enablement plans and help the large Developer base at the GSIs to enhance their skillsets on GPU accelerated computing and AI. Act as a bridge between the GSI and NVIDIA Solution Architects to run PoCs, help with porting platforms and respond to RFQs. Define Business goals, track and report progress and work on joint GTM plans. Act as the bridge between the Sales teams of the GSI/SDP and NVIDIA to identify Top accounts for joint engagement. What we need to see: 12 to 15 years of demonstrated ability in a sophisticated Sales or Partner business management environment, with a strong technology and business acumen. High energy with effective communication and written skills. Experience and flair in presenting to senior leaders and large audience. Proactive, creative, flexible and uses good judgment to accomplish tasks on schedule with minimal direction and supervision. Familiarity with modern computing techniques, Artificial Intelligence, Generative AI and the ability to scale up technical knowledge to serve the needs of demanding technology companies. Ability to successfully and effectively connect with all team members at any level. Enjoys working in a fast-paced environment with multiple priorities. Bachelor s degree or equivalent. Master s may be an added advantage. Ways to stand out from the crowd: A passion for winning, a solid aptitude for business strategy, and excellent collaboration skills with a wide variety of internal team members. Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, ambitious, and attracted to a meaningful opportunity. Graphics, AI/deep learning, high performance computing, cloud data center, and/or edge computing development/deployment experience desirable. Comfortable defining and executing complex program schedules with intimate understanding of dependencies, critical paths, key and critical landmarks, and deliverables. Consistent track record of handling multiple customers and customer programs across worldwide geographies and time zones. 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 in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning Qualification : Bachelors degree or equivalent. Masters may be an added advantage.

About NVIDIA NVIDIA has continuously reinvented itself. From inventing the GPU, which sparked the growth of the PC gaming market and redefined modern computer graphics, to revolutionizing parallel computing, NVIDIA remains at the forefront of technological innovation. Today, NVIDIA GPUs power the world's most advanced AI research, providing highly scalable and massively parallel computational power. Join us and become part of a diverse, inclusive environment that encourages innovation and empowers everyone to do their best work. NVIDIA is an equal opportunity employer, and we are committed to building a diverse team and supporting your growth and success. About the Role DFT Engineer The Design-for-Test (DFT) Engineering team at NVIDIA is at the cutting edge of innovation, solving complex challenges in DFT architecture, verification, and post-silicon validation for some of the most advanced semiconductor chips in the industry. We are looking for a passionate DFT engineer to join our team and help shape the future of technology. What You ll Be Doing Design and implement state-of-the-art DFT features, including test access mechanisms, IO BIST, memory BIST, and scan compression. Verify and validate Scan ATPG and other DFT features, both in simulation and during silicon bring-up. Develop and deploy DFT methodologies for next-generation products, continuously improving DFT quality and efficiency. Collaborate with cross-functional teams to integrate DFT features into the overall chip design. Occasionally participate in travel and late-hour online meetings during critical project milestones. What We Need to See BSEE or MSEE from a reputable institution or equivalent experience. 2+ years of experience in DFT, ASIC design, or a related field. Strong understanding of static timing analysis, ECO, ASIC/logic design flow, HDL, and digital logic design. Experience in RTL and gate-level verification and simulation. Familiarity with BIST architecture, JTAG, and IEEE standards (1149.1/1500). Proficiency in Scan ATPG, compression techniques, and memory tests. Strong analytical and problem-solving skills. Scripting knowledge (Perl or Python) is essential. At NVIDIA, you'll have the opportunity to work on world-changing technology, be part of a diverse and innovative team, and experience continuous learning and growth. We strive to foster a culture of creativity, collaboration, and excellence in everything we do. #LI-Hybrid Qualification : BSEE or MSEE from reputed institutions or equivalent experience with 2+ years of experience

about the role Cloud Architect will deliver hands-on, business-oriented strategic and technical consulting to our clients for cloud infrastructure, automation solutions and solution architecture. key responsibilities This position will be responsible to consult with the clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other. Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels. Continually augment skills and learn new tech as the technology and client needs evolve Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers. Provide leadership to project teams, and facilitates the definition of project deliverables around core Cloud based technology and methods. Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results. Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in google cloud platform / Amazon Web Service preferred qualifications Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :) To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver' outlives those fancy degrees! 3 - 8 years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment. Good analytical, communication, problem solving, and learning skills. Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies.

About Boomi and What Makes Us Special Are you ready to work on world-changing technologies? Today, organizations need to move with increased agility and insight to grow and thrive. Boomi is one of the hottest tech companies in the SaaS/Cloud industry, named a leader for eight years in a row in the Gartner Enterprise iPaaS Magic Quadrant, and recently recognized by Inc. Magazine as one of the best workplaces. Our award-winning, patented technology is transforming the world of integration by making enterprise-class integration technology accessible and affordable to companies of all sizes. Boomi provides the foundation on which businesses can evolve and innovate. We help organizations connect everything and engage everywhere across any channel, device, or platform. More than 18,000 organizations are using Boomi to run better, faster, and smarter. Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology, and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people, and developing cutting-edge technology, we want to talk to you. Software Principal Engineer Our Engineering team ensures that our next-generation software meets customer needs, is competitive and is of the highest quality. Our Engineers understand the definition of done, the expected quality, and ensures that our software meets or exceeds end-user requirements. We spend substantial time learning new technologies and softwares to come out with robust Solutions and scalable Designs that solve our Customer pain points and cater to their Business needs. Our Software Development procedures and practices comply with industry standards. Join us as a Software Principal Engineer on our Engineering team in Bengaluru to do the best work of your career and make a profound social impact. What you ll achieve As a Software Principal Engineer, you will be responsible for Building various Connectors that incorporate Scalable design and programming Best Practices. As a Principal Engineer, you will be responsible for making sure the developed Connector meets Business Goals and quality expectations. Additionally, you will mentor junior team members, help them grow themselves and be technically competative. You will work with product management, other engineering teams, customer success and support on testing new product features and enhancements across various areas of Boomi offerings. You will: Be a key member of an Agile team, collaboratively realizing features through the software development lifecycle Collaboratively build features through the Agile software development lifecycle Guide and participate in design, development, unit testing, code review, and deployment of Boomi products and services including enhancements and/or resolution of any issues that may be reported Investigate and resolve complex customer issues Work independently with a minimal level of guidance from technical leadership Mentor other Boomi engineers, including design collaboration and code reviews Research, validate, and recommend technology decisions for new features Collaborate with Product managers/owners and other cross functional teams like Architecture, PSR, Quality, Security etc. Every Boomi team member brings something unique to the table. Here s what we are looking for with this role: Essential Requirements Ability to learn new technologies, softwares, tools, languages with minimal training and on-the-job experience 5+ years of experience in architecting and implementing APIs and integration technologies in distributed enterprise environments using a combination of technologies, languages or standards like REST, SOAP, JSON, Python, Java etc. Experience with Java, Advanced Java, source control systems, continuous integration tools Experience with agile collaboration tools, such as JIRA and Confluence Experience with Web Services technologies including REST, SOAP, and WSDL Strong computer science fundamentals: data structures, algorithms, design patterns. Own Tech Debt/Tech Modernization - Ability to balance the long-term "big picture" and short- term implications of design decisions. Having proficiency Java, Microservices, Cloud Native Architecture Hands on experience in Microservices, RESTful web services Desirable Requirements 12-14 years of experience in software development Bachelors or Masters degree in CSE Well-versed with Core Java and Advanced Java Good understanding of OOPS Concepts, SOLID principles and Design Patterns Experience using Message brokers such as Service Bus, AWS SQS, AWS SNS, Kinesis, and Kafka is an added advantage Experience designing well-defined Restful APIs, API documentation tools like openAPI, testing tools like Postman and SOAPUI is an added advantage Experience using Devops tools like Bamboo, Jenkins, Harness and other CI/CD tools Familiarity with highly scalable, high throughput web applications and backend systems Familiarity using Cloud Services such as AWS, Azure At Boomi we show up for each other with empathy, compassion, and purpose because, at Boomi, we win as one that s why we strive to integrate more diverse voices for a stronger and smarter team. Qualification : Bachelors or Masters degree in CSE

Join us as a Principal Software Engineer on our Platform Engineering team in Bengaluru to do the best work of your career and make a profound social impact. What you ll achieve As a Principal Software Engineer, you will be responsible for developing sophisticated systems and software based on the customer s business goals, needs and general business environment. You will work with product management, other engineering teams, customer success and support on developing cutting edge new product features and enhancements across various areas of Boomi offerings. You will: Be a key member of an Agile team, collaboratively realising features through the software development lifecycle Guide and participate in design, development, unit testing, and deployment of Boomi products and services including enhancements and/or resolution of any issues that may be reported Investigate and resolve complex customer issues Work independently with a minimal level of guidance from technical leadership Mentor other Boomi engineers, including design collaboration and code reviews Research, validate, and recommend technology decisions for new features Take the first step towards your dream career with Boomi Essential Requirements Ability to learn new tools, languages, and operating systems with some training and on-the-job experience Experience in software development, including the use of some IDE with a solid understanding of object-oriented design concepts for delivering and maintaining a software product Experience with Java, source control systems, continuous integration tools Experience with agile collaboration tools, such as JIRA and Confluence Experience with Web Services technologies including REST, SOAP, and WSDL Desirable Requirements 10+ years of experience in software development Experience using Linux/Unix environments Experience using Message brokers such as Service Bus, AWS SQS, AWS SNS, Kinesis, and Kafka. Experience designing well-defined Restful APIs, API documentation tools like openAPI, testing tools like Postman and SOAP UI Experience using Devops tools like Jenkins and other CI/CD tools Familiarity with streaming technologies such as Kafka and Pulsar Familiarity with highly scalable, high throughput web applications and backend systems Familiarity using AWS technologies such as Cloudformation, S3, ECS, EKS, and EC2 Familiarity with SQL, relational database systems, and ORM tools like Hibernate