Research Engineer Jobs in Bengaluru

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Application Support Engineer I Location: Bangalore Experience: Up to 2+ Years About Tekion Tekion is revolutionizing the automotive industry with the first cloud-native automotive platform, transforming an ecosystem that hasn t seen major innovation in over 50 years. Our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) connect OEMs, dealerships, consumers, and partners through one seamless platform. Leveraging big data, AI, and machine learning, Tekion delivers the best automotive retail experiences across North America, Asia, and Europe. Role Overview We are looking for an enthusiastic Application Support Engineer I who loves challenges, enjoys problem-solving, and is passionate about delivering exceptional customer experiences. You will act as a subject matter expert in your domain, supporting our dealership clients, coordinating technical issues, and ensuring the support team follows processes and delivers solutions effectively. Key Responsibilities Take ownership of customer-reported issues and ensure problems are resolved end-to-end. Research, diagnose, troubleshoot, and identify solutions to resolve system and application issues. Follow standard escalation procedures for unresolved issues and coordinate with internal teams. Understand applications both functionally and technically. Use internal databases and external resources to provide accurate technical solutions. Ensure all issues are properly logged and tracked. Prioritize and manage multiple open issues simultaneously. Prepare accurate and timely reports on support activities. Document technical knowledge in notes, manuals, and knowledge bases. Support rotational shifts as required. Required Skills & Experience 0 2+ years of experience in application, production, or product support. Advanced knowledge of SQL, MongoDB, and basic network configurations. Strong understanding of databases, APIs, and coding fundamentals. Ability to learn and master company-specific software. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Ability to diagnose and address application-related issues effectively. Understanding of IoT and software systems is a plus. Be the first point of contact for dealership clients, ensuring their technical issues are resolved quickly. Play a key role in improving customer satisfaction by providing accurate and timely solutions. Contribute to a knowledge-sharing culture through documentation and process improvements. Work in a collaborative, agile environment alongside cross-functional teams on challenging projects.

Security Research Engineer Security Research Experience: 5 8 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod is a SaaS-based cybersecurity products company focused on prevention-first security. Our Saner Cloud platform is a unified CNAPP solution that combines AI-driven threat intelligence, automated vulnerability detection, and Cloud Security Posture Management (CSPM) to secure multi-cloud environments. Role Summary We are seeking a highly skilled Security Research Engineer to join our Security Research team. This role focuses on researching emerging cloud security threats, developing security intelligence feeds, building proof-of-concepts (PoCs) for misconfigurations, and creating automated remediation and compliance content. Key Responsibilities Threat Research: Conduct security research to develop intelligence feeds and checks with a strong emphasis on cloud security. Vulnerability & Risk Analysis: Identify and create PoCs for emerging cloud misconfigurations and security risks. Automation: Develop automation for research and validation tasks using Python or other scripting languages. Compliance & Remediation: Build remediation feeds for cloud misconfigurations and compliance benchmarks. Lifecycle Management: Manage the end-to-end lifecycle of research outputs, from initial development through production release. Required Qualifications & Skills Professional Experience: 5 8 years in security research or engineering, with at least 3 years in a senior technical role. Cloud Infrastructure: Hands-on experience with AWS, Azure, or GCP. Technical Fundamentals: Strong understanding of operating systems, networking, and computer science security. Programming: Proficiency in languages such as Python, C, C++, or Java. Environment Expertise: Experience across Linux/Unix, Windows, and virtualization environments. Compliance: Solid knowledge of cloud security and security benchmark compliance. Education Bachelor s degree (or equivalent) in Computer Science or a related field. Qualification : Bachelors degree (or equivalent) in Computer Science or a related field

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: Electrical Engineer Location: Bengaluru, Karnataka, India Reporting To: Project Manager Industry: Semiconductor / Automation Qualifications: Education: Bachelor of Engineering (BE) in Electrical Engineering (Mandatory) Experience: 2 to 5 years in related fields (Control Panels, Power Calculations, Circuit Breakers) Software: Proficient in AutoCAD Electrical 2018 or later Candidate Profile: Preferably from Semiconductor Industry or Automation Sector. Hands-on experience in electrical design and control panel schematics. Essential Skills and Experience: Minimum 1 year experience creating detailed point-to-point schematics for Control Panels, Motor Control Centres, Power Distribution Panels. Minimum 2 years of electrical design experience including: Power calculations Component selection Schematic and Bill of Materials (BOM) creation I/O list creation Wire, cable, and harness selection/design Sensor selection (voltage, current, arc, temperature, etc.) Working knowledge of circuit components such as circuit breakers, contactors, relays, protection relays, push buttons, indicators, connectors, terminal blocks, cable routing accessories, and sensors. Desirable Skills: Familiarity with various process sensors: pressure, vacuum, flow, distance, displacement, proximity, limit, rotary and linear position sensors. Knowledge of EMI/EMC principles and panel design. Working knowledge of motor control systems. Responsibilities: Conduct professional electrical engineering research, design, development, modification, and testing related to electrical systems and power distribution/generation. Collaborate with a multidisciplinary engineering team (electrical, mechanical, software, technical support, productivity engineers, suppliers) on design and modifications. Maintain and develop process checkpoints to ensure compliance with design standards and project schedules. Drive process improvements in collaboration with leadership peers. Create electrical schematics and systems based on requirements; generate and release engineering drawings and BOMs. Assist in developing and refining functional specifications for electrical systems and power distribution. Qualification : Bachelor of Engineering (BE) in Electrical Engineering (Mandatory)

Senior Software Engineer Build & Release (5+ Years) | Bangalore Location: Bangalore Experience Required: 5+ Years Job Type: Full-time About the Role We are seeking an experienced Senior Software Engineer (Build & Release) to join our engineering team in Bangalore. In this critical role, you will lead and optimize our build automation, release management, and configuration processes, ensuring that software products are delivered efficiently, reliably, and at scale. You ll work closely with developers, QA, and operations teams to create a robust CI/CD pipeline and streamline the overall software delivery lifecycle. Key Responsibilities Design, implement, and manage automated build and deployment pipelines. Develop and maintain tools for build, packaging, and release management. Troubleshoot and resolve build failures, deployment issues, and release-related bugs. Monitor, document, and improve build performance and packaging efficiency. Create internal tools and scripts to enhance packaging and automation processes. Collaborate with cross-functional teams to integrate release pipelines into CI/CD workflows. Ensure quality assurance by performing build validations and release testing. Maintain a version-controlled repository for all configuration items across projects. Generate build reports, status dashboards, and performance metrics. Research and implement best practices in DevOps and release engineering. Required Technical Skills Strong hands-on experience with Visual Studio, TFS Source Safe, SQL Server, C#, and MSBuild. Proficiency in CruiseControl or other CI/CD tools. Knowledge of web server configurations, especially IIS. Solid foundation in build scripting, automation, and source control systems. Strong understanding of software development lifecycle (SDLC) and release methodologies. Preferred Skills Experience designing and maintaining CI/CD pipelines in a Microsoft-centric environment. Familiarity with DevOps practices, infrastructure automation, and continuous delivery. Exposure to build monitoring tools, automated test setups, and rollback mechanisms. Experience working in Agile/Scrum environments. Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. Minimum 5 years of experience in Build & Release Engineering, with a background in software development and configuration management. Who You Are A detail-oriented engineer with a passion for automation and process improvement. A team player who believes in collaboration and cross-functional communication. A problem-solver with strong analytical and troubleshooting skills. Committed to continuous learning and growth in the field of DevOps and release management. Flexible working hours Continuous learning & development opportunities Medical and insurance benefits Supportive, growth-oriented work culture About In4Velocity Founded in 2004, In4Velocity is a leading technology provider for real estate, construction, and infrastructure companies. Our flagship product, In4Suite , is a powerful platform that digitizes real estate operations end-to-end, offering a unified solution that integrates buy-side, sell-side, and internal workflows. Used by clients across the globe, In4Suite empowers developers with actionable insights, a strong Business Intelligence engine, and seamless process management setting new benchmarks in real estate technology. Apply now and accelerate your career with In4Velocity. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Product Design Manager Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Products team is on a mission to create innovative experiences that empower employees and transform how we work. We are seeking a seasoned Product Design Manager in Bangalore to lead a talented design team focused on delivering best-in-class enterprise-level solutions that drive meaningful business outcomes. This role demands a proven leader with a strong track record of designing enterprise products, shaping strategy, and mentoring multidisciplinary teams. As part of the leadership team, you ll collaborate cross-functionally with product, engineering, UX research, content design, and data science to craft impactful, human-centered design solutions for Meta s internal products and systems. Key Responsibilities: Lead, mentor, and grow a high-performing team of product designers while fostering a culture of design excellence, collaboration, and inclusivity. Define team goals, align design resources to the highest priority projects, and ensure delivery of exceptional design work across enterprise products. Translate organizational goals into actionable product design opportunities and align team direction with cross-functional stakeholders. Maintain a high bar for visual and interaction design quality across the design lifecycle from discovery and strategy through delivery. Individually contribute to strategic initiatives involving complex, ambiguous problems and emergent product opportunities. Collaborate with product managers, engineers, UX researchers, and data scientists to ensure product solutions are grounded in user needs and business goals. Communicate clearly and effectively with senior leadership and executive stakeholders. Minimum Qualifications: 10+ years of experience in product design, with a focus on complex digital systems or enterprise tools. 5+ years of leadership experience managing and developing product design teams. Strong ability to drive product strategy and translate it into high-impact design work. Experience navigating large, matrixed organizations and working cross-functionally with technical and non-technical teams. Excellent communication and presentation skills, with experience influencing executive stakeholders. Preferred Qualifications: Experience working with distributed teams across multiple geographies. Background in designing for enterprise-level applications or internal business tools. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook and Instagram to WhatsApp and Messenger, we empower billions around the world. We re now moving beyond 2D screens into the future of digital experiences through AR, VR, and immersive technologies. Join us as we shape the next chapter of human connection. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, disability, or other legally protected characteristics.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

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

Research Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is leading the way in transforming the world through digital experiences. From emerging creators to global enterprises, we empower everyone to bring ideas to life with powerful images, videos, documents, and applications across every platform. Innovation, creativity, and inclusivity are the cornerstones of our company culture where great ideas can come from anyone, anywhere. About Adobe Research Adobe Research is one of the world s premier industrial research organizations, where we invent the future of creativity, documents, and autonomous systems through cutting-edge AI and ML innovation. We blend academic excellence with product-focused impact, shaping how millions interact with Adobe s tools and platforms every day. Areas of Research Focus Natural Language Processing (NLP) Natural Language Generation (NLG) Human-Computer Interaction (HCI) and User Experience (UX) Computer Vision Deep Learning & Machine Learning Artificial Intelligence (AI) Image, Audio, Video, and Multimodal Data Processing Autonomic Systems and Computing Responsibilities Invent, design, and prototype breakthrough AI technologies for next-generation Adobe products. Identify emerging research areas and help shape Adobe s long-term research agenda. Publish your work in top-tier journals and conferences, establishing thought leadership in your field. Collaborate with leading academic institutions and global research communities. Partner with cross-functional teams of engineers, designers, and product managers to bring research innovations to production. Required Qualifications Ph.D. (preferred) or Master s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field. Proven research excellence with a strong publication record in top-tier conferences or journals. Strong experience in one or more of the following: machine learning, deep learning, NLP, computer vision, or multimodal data processing. Demonstrated ability to solve complex, open-ended problems and innovate under uncertainty. Proficiency in software development and modeling (e.g., Python, PyTorch, TensorFlow, etc.). Excellent communication skills, including scientific writing and presentation abilities. Preferred Qualifications (for Senior Roles) 7+ years of research experience in academia or industry. Experience leading research teams or initiatives with significant real-world impact. Collaborate with world-class scientists and thought leaders. Work on breakthrough research that has direct impact on Adobe products used by millions globally. Enjoy a creative and intellectually rich environment with the freedom to explore your ideas. Publish, present, and build your reputation in the global research community. Competitive compensation, excellent benefits, and flexible work culture. Adobe is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We welcome candidates from all backgrounds and experiences. Qualification : Ph.D. (preferred) or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Title: Software Engineer Role Overview: The Software Engineer is responsible for the development, maintenance, and optimization of software solutions and applications. This role involves applying scientific methods to analyze and solve software engineering challenges while contributing to research, design, development, and long-term maintenance. The position requires independent problem-solving skills, technical leadership, and collaboration with team members and stakeholders. Key Responsibilities: Software Development & Engineering: Designs, develops, and maintains software applications using industry best practices. Applies scientific methods to analyze and resolve software engineering problems. Ensures software quality, performance, and security through testing and optimization. Technical Leadership & Innovation: Exercises original thought and judgment in solving complex technical challenges. Leads software development activities, mentoring junior engineers when required. Drives innovation by proposing and implementing cutting-edge solutions. Collaboration & Stakeholder Engagement: Works closely with internal and external stakeholders to understand project requirements. Provides expert advice and recommendations proactively. Explains complex technical concepts to a variety of audiences to ensure clarity. Project & Process Management: Acts as a key contributor in complex software development environments. Assesses and adapts to project challenges, formulating innovative solutions. Manages costs and ensures profitability for specific projects or work areas. Maintains compliance with best practices in software design, development, and documentation. Continuous Learning & Professional Growth: Builds expertise in software engineering disciplines to meet industry standards. Creates informal networks and fosters a knowledge-sharing culture within and outside the team. Motivates and inspires team members to achieve technical and commercial goals. Required Skills & Competencies: Strong understanding of programming concepts, software design, and development principles. Ability to work autonomously with minimal supervision. Experience leading software development teams in a complex environment. Excellent problem-solving skills with a proactive mindset. Strong communication skills, capable of conveying technical concepts to diverse audiences. Ability to work under pressure while maintaining high-quality standards. This role provides an exciting opportunity to contribute to innovative software solutions while leading and collaborating with cross-functional teams.

Job Title: Software Engineer Role Overview: The Software Engineer is responsible for the design, development, maintenance, and optimization of software applications and solutions. This role involves applying scientific methods to analyze and solve software engineering challenges, contributing to research, design, and long-term development. The Software Engineer is expected to exercise independent judgment, collaborate with teams, and build expertise in software engineering disciplines. Key Responsibilities: Software Development & Engineering: Design, develop, and maintain software applications using industry best practices. Apply analytical and problem-solving skills to enhance system performance and security. Ensure high-quality, scalable, and efficient software solutions. Research & Innovation: Utilize scientific methods to analyze complex problems and develop innovative solutions. Stay updated with industry trends and emerging technologies. Contribute to the continuous improvement of software development methodologies. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams, including developers, testers, and project managers. Participate in discussions on software design, architecture, and optimization strategies. Provide input and insights to enhance team performance and project success. Project Execution & Time Management: Manage tasks independently and deliver accurate, reliable results within set deadlines. Organize workload efficiently to meet mid-term project goals. Demonstrate accountability for assigned responsibilities and contribute to overall team objectives. Required Skills & Competencies: 1+ years of relevant work experience in software engineering. Strong understanding of programming concepts, software design, and development principles. Ability to work with minimal supervision, ensuring high-quality deliverables. Proficiency in problem-solving and decision-making based on situational understanding. Strong teamwork and communication skills to collaborate effectively with peers. This role offers an excellent opportunity for individuals looking to develop expertise in software engineering, work on diverse projects, and contribute to innovative software solutions in a dynamic and collaborative environment.

About Ansys For over 50 years, Ansys has been at the forefront of innovation, enabling companies across industries to push boundaries through the predictive power of simulation. From sustainable transportation to life-saving medical devices, our solutions help bridge the gap between design and reality. At Ansys, we empower our employees to turn visionary ideas into reality. Join us and shape the future of simulation technology! Role Overview As a Senior R&D Engineer, you will join the SeaScape Research and Development team, working on cutting-edge semiconductor analysis software. You will contribute to the development of ANSYS RedHawk-SC, the industry s first EDA solution built on the SeaScape Elastic Compute Architecture, designed to handle massive datasets and distributed computing. This role requires strong C++ programming skills, problem-solving abilities, and a solid foundation in semiconductor design. Key Responsibilities Software Development & Optimization Design, develop, and optimize high-performance software for semiconductor analysis. Write efficient, scalable, maintainable, and robust code in C++. Implement unit, regression, and system-level tests to ensure high-quality code. Diagnose and fix complex software issues. Collaboration & Process Adherence Work closely with technical leads, engineers, and managers to refine and improve solutions. Learn and follow best practices in software engineering and semiconductor design. Communicate effectively within the team to ensure smooth collaboration. EDA & Semiconductor Analysis Develop expertise in IC Layout specification formats (Oasis, GDS). Work on parasitic extraction, gate/transistor-level design, and power analysis. Optimize EDA software for large-scale simulations and distributed computing. Required Qualifications & Skills Education & Experience: Bachelor s or Master s degree in Computer Science, Electrical/Electronics Engineering, or a related field. 4-6 years of experience in a product-based company. Technical Expertise: Proficiency in C++ for high-performance computing. Strong knowledge of data structures, algorithms, and debugging. Experience working with Linux operating systems. Basic understanding of IC layout specifications (Oasis, GDS). Familiarity with gate-level and transistor-level electronic design. Soft Skills: Ability to learn quickly and work in a fast-paced environment. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Preferred Qualifications (Nice to Have) EDA & Semiconductor Analysis: Experience with parasitic extraction for advanced semiconductor nodes. Knowledge of transistor-level simulation and gate-level power analysis. Familiarity with IC physical design and RTL optimization. High-Performance Computing & Distributed Processing: Experience with distributed processing, debugging, and optimization. Knowledge of AI/ML, GPU architectures, CUDA, and vectorization libraries (Google Highway). Experience with high-bandwidth networking (InfiniBand). Software Development & Automation: Experience in commercial software development, build automation, and testing. Work on Industry-Leading Technology Build next-gen EDA and semiconductor simulation software. Career Growth Be part of an innovative, research-driven environment. Collaborate & Innovate Work alongside industry experts in high-performance computing & semiconductor analysis. Inclusive & Diverse Culture We believe diverse thinking leads to better outcomes. At Ansys, we commit to excellence, integrity, and innovation Together, we power the future of simulation. Apply Now & Be a Part of Ansys' Innovation Journey!

About DevRev DevRev s AgentOS is a purpose-built CRM platform for SaaS companies, integrating three modern apps for support, product, and growth teams. By converging six teams and replacing nine business apps, we streamline workflows for end users, sellers, support, product teams, and developers. Unlike traditional CRMs, DevRev offers a blank canvas approach to collaboration, AI-driven analytics, and automation, helping SaaS companies increase product velocity and reduce customer churn. Thousands of companies rely on DevRev for low-latency analytics and customizable LLMs in the era of Generative AI. Headquartered in Palo Alto, California, with offices in seven global locations, DevRev has raised $100 million from Khosla Ventures and Mayfield, reaching a $1.1 billion valuation. Founded in 2020 by Dheeraj Pandey (co-founder and former CEO of Nutanix) and Manoj Agarwal (former SVP of Engineering at Nutanix), DevRev is honored to be named on Forbes 2024 list of America s Best Startup Employers. About the Role: Applied AI Engineer The Applied AI Engineering team plays a crucial role in ensuring customers maximize their DevRev experience. As businesses integrate DevRev into their enterprise systems, workflows, and automation, our team collaborates closely with customers to design, develop, and implement tailored AI-powered solutions. Your mission is to bridge the gap between customer needs and technical solutions, ensuring seamless adoption and delivering high-impact AI applications that enhance the DevRev platform. Responsibilities Design, develop, and implement integrations, automations, and customizations to integrate DevRev with customers existing tech stacks and workflows. Leverage AI and Generative AI techniques (e.g., prompt engineering, LLM fine-tuning) to create cutting-edge AI-powered agent experiences. Optimize semantic search engines for improved accuracy and relevance. Conduct data analysis, write SQL queries, and build dashboards to provide insights and inform business decisions. Act as a technical consultant, guiding customers through critical workflows, including integrations with code repositories and enterprise tools. Maintain proactive communication and feedback loops with key stakeholders, including Customers, Engineering, Product, Customer Success, Support, Revenue, and Marketing teams. Continuously learn new technologies and apply them to enhance customer solutions. Ideal Candidate Qualifications Degree in Software Engineering, Computer Science, or equivalent experience. 1-2+ years of hands-on coding experience with TypeScript, JavaScript, Python, APIs, Webhooks, and SQL. Familiarity with Generative AI, including GPT-4, prompt engineering, and fine-tuning. Knowledge of vector databases and data embeddings. Strong communication skills (written and verbal in English). Results-driven mindset, with a passion for problem-solving and innovation. Ability to work independently, take initiative, and drive projects to completion. DevRev Culture At DevRev, we are committed to hiring individuals who are hungry, humble, honest, and act with heart. Our vision is to help build the world s most customer-centric companies, and our mission is to empower engineers to embrace their customers through design, data engineering, and machine intelligence. We seek individuals who thrive in a fast-paced, high-energy environment and are passionate about pushing the boundaries of AI and automation. If you re excited about building AI-driven solutions, working with cutting-edge technologies, and shaping the future of SaaS and CRM, we d love to hear from you! Qualification : Degree in Software Engineering, Computer Science, or equivalent experience.

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