Systems Architecture Jobs in Bengaluru

Senior Software Engineer (Frontend) Location: Bengaluru Hiring is still trapped in the past: manual screening, unconscious bias, and administrative overload. Talview is changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent, scalable exam monitoring. Ivy: A conversational AI Interviewer enabling unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re seeking a Senior Frontend Engineer passionate about building fast, intuitive, and elegant user experiences. You will lead frontend initiatives, architect high-performance UI systems, and elevate engineering standards across the organization. This is ideal for engineers who thrive on technical leadership and solving complex UX challenges. What You ll Actually Do Lead & Mentor: Guide engineers, drive execution, and ensure top-tier UI quality. Architect Interfaces: Build scalable, high-performance, and accessible applications. Collaborate Deeply: Partner with Product, Design, and Backend teams to shape workflows. Performance & Accessibility: Optimize rendering and responsiveness while enforcing WCAG and ARIA guidelines. Engineering Standards: Maintain code quality through reviews, best practices, and improved CI/CD pipelines. You Might Be a Fit If... Required Qualifications: 4 6 years building modern frontend applications. Expert-level HTML, CSS, and JavaScript knowledge. Strong experience with React, React Hooks, Jest, and React Testing Library. Deep understanding of accessibility standards (WCAG, ARIA). Experience with Git, CI/CD pipelines, and modern build tools. Proven ability in mentoring or leading other engineers. Bonus Points For: Experience with Frontend performance optimization. Knowledge of Micro-frontend architecture or Design Systems. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We live by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and keep it real. What You Get Competitive compensation and the best hardware/software tools. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, monthly team lunches, and annual offsites. Growth: Strong career acceleration in a fast-growing product company.

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Technical Project Manager - AI Delivery Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and business-focused virtual telecom operator for emerging markets. Founded in 2011, Exotel powers over 50 million daily engagements across voice, video, and messaging channels. Our cloud-based solutions are trusted by over 6,000 companies in more than 60 countries including major players like Ola, Swiggy, Flipkart, GoJek, Byju s, HDFC Bank, Zomato, and Urban Company. We are a Series D company valued at $100 million, with $60 million in ARR, and we provide communication APIs, a modern omnichannel contact center, and a conversational AI platform hosted on the cloud. About the Role Exotel is looking for a Technical Project Manager - AI Delivery to oversee the end-to-end delivery of complex AI-driven projects. You ll be responsible for managing the complete project lifecycle from initiation to closure ensuring that all deliverables meet quality standards, customer requirements, and timelines. As the primary customer interface, you will manage expectations, resolve issues proactively, and ensure successful AI-first implementations for enterprise customers. In this role, you will also contribute technical insights, provide support to your team, and help drive continuous improvement while maintaining a customer-centric focus. Responsibilities Project Planning & Execution: Develop detailed project plans, including scope, objectives, timelines, budgets, and resource allocation. Track progress, ensure deliverables meet quality standards, and ensure timely delivery. Customer Interface: Act as the primary point of contact for customers on assigned projects. Conduct regular status meetings, manage customer expectations, and ensure that their needs are consistently met. Scope & Requirement Management: Work closely with customers to define and document project requirements, manage scope changes, and ensure alignment with product capabilities. Risk Management: Identify potential project risks, develop mitigation strategies, and ensure timely issue resolution. Escalate risks to the Lead Project Manager when necessary. Cross-Functional Coordination: Coordinate daily activities with delivery and engineering teams, ensuring that technical tasks align with project timelines. Facilitate smooth handovers to support engineers post-delivery. Reporting & Stakeholder Communication: Prepare and present regular project status reports to the Lead Project Manager and other internal stakeholders. Methodology Adherence: Ensure all project activities adhere to AI delivery methodologies and best practices, optimizing workflows and processes. Mentorship: Provide mentorship to junior project team members, fostering a high-performing, value-driven organizational culture. Ownership: Take ownership of business satisfaction through the tested deployment of solutions and by consistently delivering on project objectives. Experience: 5+ years of project management experience, preferably in software or SaaS delivery, with a proven track record of managing complex projects from initiation to closure. Technical Knowledge: Strong understanding of integration methods for CRMs and APIs. Familiarity with cloud systems, architecture, networking, and deployment methodologies. AI/ML Knowledge: Familiarity with AI/ML, NLP, or conversational AI concepts is a plus. Requirements Gathering: Experience in gathering and translating customer requirements into actionable business use cases. Customer Management: Ability to run customer meetings, manage expectations, and handle change requests effectively. Technical Expertise: Strong understanding of Linux, networking, databases, message queues, and caching. GenAI Exposure: Hands-on experience with GenAI technologies, such as prompt engineering and Large Language Models (LLM) applications. Soft Skills: Excellent time management, communication, and interpersonal skills. Strong organizational and problem-solving abilities. Customer-Centric: Proactive, customer-focused mindset, ensuring timely issue resolution and high-quality delivery. General Skills Lead the implementation and testing of GenAI projects, ensuring alignment with customer requirements and business goals. Coordinate with pre-sales, product, and support teams to set expectations and deliver according to timelines. Ensure adherence to SLAs, proactively resolve delivery bottlenecks, and maintain a smooth delivery pipeline. Mentor junior engineers and uphold high-quality standards in all project deliverables. Innovation at Scale: Work on cutting-edge AI and communication technologies impacting millions of people daily. Growth & Impact: Be part of a rapidly growing company with ample opportunities for career development and personal growth. Collaborative Culture: Join a passionate, supportive, and high-performing team where collaboration and innovation are core values. Competitive Benefits: Enjoy comprehensive health insurance, mental wellness support, and a robust benefits package. If you are an experienced Project Manager with a strong technical background and a passion for AI-driven solutions, we d love to hear from you. Apply Now to join the Exotel team as a Technical Project Manager - AI Delivery and play a key role in transforming customer engagement across emerging markets.

Principal Architect Location: Bangalore Company: AliveCor About AliveCor AliveCor is on a mission to **revolutionize heart health** by making it accessible to everyone, everywhere. We have pioneered **over-the-counter medical ECG devices**, trusted by millions, and are leaders in empowering consumers to take control of their heart health. With our **FDA-cleared medical-grade hardware and software**, users have performed over 300 million heart health measurements. We are a team driven by a shared passion to make a real difference in people s lives. The Opportunity & Role As the **Principal Architect** at AliveCor, you will play a pivotal role in **shaping the future of heart health technology**. You will lead the architecture of our platform, ensuring it meets the evolving needs of our customers and the healthcare industry. This role requires **strong technical expertise in GoLang, Java, AWS, and modern software architecture**. Key Responsibilities Architect & Design Solutions: Collaborate closely with product and engineering leadership to design **scalable, secure, and efficient solutions** for both consumer and clinician-facing applications. Hands-On Engineering: Actively engage in software development (**up to 50% of your time**), working with technologies such as **Go, Java, Ruby on Rails, PostgreSQL, AWS, React, JavaScript**, and mobile (iOS & Android) apps. AI Integration: Leverage cutting-edge **AI technologies, including LLMs** (Large Language Models), to enhance the customer experience and drive product innovation. Ownership & Scalability: **Own the architecture** for your suite of products, ensuring it aligns with the organization s technical vision and is built to scale. Lead the review process and ensure timely implementation of changes. Mentorship & Best Practices: Drive **code reviews, design reviews, and architecture discussions** to establish and uphold engineering best practices across teams. Backend Infrastructure & Improvement: Maintain and continuously enhance backend systems to solve technical limitations before they affect production. Experiment with New Technologies: Explore emerging technologies and drive adoption where relevant, measuring impact and scalability. Qualifications & Skills Hands-on Engineering Leadership: **15+ years of hands-on software engineering experience**, including significant exposure to architecture and systems design. Core Proficiency: Strong knowledge of **GoLang and Java**, with experience in designing and building large-scale systems. Cloud & Platform Expertise: Expertise in **AWS and Kubernetes**, with the ability to architect and manage cloud-based systems. Architecture Design: Extensive experience with **multi-tier architectures, high-performance web-scale systems, and large databases**. System Design Expertise: Strong system design skills and experience designing clean interfaces and working at the right level of abstraction. Microservices & SOA: Experience designing and implementing **Service-Oriented Architectures (SOA) or Microservices**. CI/CD & Automation: Familiarity with build process automation and **CI/CD** (e.g., GitLab, Travis). Product Focused: Ability to work with product teams to identify customer pain points and iterate on solutions quickly. Willingness to Learn: Eagerness to learn new technologies and adapt to the ever-changing landscape of software engineering. Knowledge of Ruby on Rails is a plus, but not a requirement. Perks & Benefits Working Model: Hybrid Working Model (Flexibility to work both remotely and in the office). Leave: Generous Vacation Policy and comprehensive Family Leave. Medical Benefits: Above-market family floater medical insurance, covering both parents. Office Perks: Complimentary lunch provided at the office and convenient metro connectivity. Culture: Supportive, collaborative team culture.

Job Title: Principal Electronics Engineer Embedded Hardware Location: Bengaluru Experience: 8 14 years Industry: Automotive / EV / Manufacturing Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we are more than just a company we re a movement that s reshaping the future of electric mobility. From building India s fastest electric motorcycle to designing the world s most advanced electric scooter, we thrive on pushing the boundaries of what s possible. We are a team of engineers, designers, and trailblazers united by a passion to craft machines that are sustainable, intelligent, and exhilarating. Every bolt, every line of code, and every component is designed with a singular mission: to accelerate the global shift toward next-generation mobility. Role Overview We are looking for a Principal / Lead Electronics Engineer Embedded Hardware to take ownership of vehicle electronics architecture, embedded systems design, diagnostics, and system-level validation for our next-gen electric vehicles. In this role, you will be at the forefront of developing high-performance electronic control units, telematics, and connected systems for future-ready vehicles. You will drive architecture decisions, system integration, and compliance, working alongside cross-functional teams to bring innovation from concept to the street. Key Responsibilities 1. Vehicle Electronics Architecture Design and bring to production electronic hardware including ECUs, display clusters, and telematics modules. Develop high-speed embedded designs with RF, sensor integration, and communication interfaces (CAN, LIN, UART, SPI, I2C). Create and maintain system schematics, architecture documentation, and interface definitions. 2. Embedded Hardware Design Develop embedded platforms with high-performance microcontrollers/processors to support vision systems, graphics, radar/LiDAR, audio, and OS-based applications. Architect and validate connected systems involving GNSS, LTE, BLE, Wi-Fi. Lead the design and integration of vehicle subsystems like lighting, clusters, IMUs, and more. Collaborate closely with firmware teams on hardware-software integration, bootloaders, and OTA functionality. 3. Diagnostics & Compliance Implement UDS-based diagnostics, fault logging systems, and service tools. Ensure compliance with AIS-004, ISO 26262, and other automotive design standards. 4. Testing & Validation Define and execute component-level and vehicle-level validation test plans. Utilize tools like Vector CANoe, CANalyzer, ETAS INCA, oscilloscopes, and spectrum/network analyzers for debugging and validation. 5. Cross-functional Collaboration Partner with teams across mechanical, software, UX, powertrain, and wire harness for holistic system integration. Work with mobile and cloud teams to enable real-time data streaming, diagnostics, and OTA updates. Actively contribute in design reviews, DFMEAs, and root cause analyses of field issues. Required Qualifications & Skills B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines. 8+ years of embedded hardware design experience, preferably in 2W/EV/automotive domain. Strong understanding of embedded C and scripting languages (e.g., Python, MATLAB, Octave). Experience with circuit simulation tools (e.g., PSPICE, LTSPICE, SIMPLIS, Simetrix). Hands-on expertise in RF design, signal/power integrity, EMI/EMC compliant layouts. Proficiency in PCB design tools (e.g., OrCAD, Altium, Mentor Graphics). Demonstrated experience in designing systems with multi-core processors, memory chips, SoMs, and high-speed interfaces (USB, Ethernet, LVDS, MIPI). Deep knowledge of embedded communication protocols (CAN, LIN, SPI, UART, I2C). Strong debugging and problem-solving skills in hardware validation and field testing. Nice to Have Hands-on experience in vehicle electronics development for 2W, 4W, or electric vehicles. Familiarity with DFT/DFA (Design for Testing/Assembly) methodologies. Experience with manufacturing and compliance testing for embedded hardware. Background in developing connected vehicle ecosystems with OTA capabilities. Passionate about emerging technologies in mobility, EVs, and embedded systems. Be part of India s electric mobility revolution where engineering meets adrenaline. Work on world-class technologies that are pushing global boundaries. Join a culture that encourages innovation, learning, and ownership. Collaborate with passionate teams building next-gen mobility experiences. Qualification : B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines

Senior Solution Architect Location: Bengaluru Team: Global Strategic Services Architecture EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader helping industrial companies solve complex problems using AI and data. Our key platforms Cognite Atlas AI, a next-gen industrial agent workbench, and Cognite Data Fusion (CDF) enable businesses to make faster, smarter, and more sustainable decisions. We ve been recognized as a 2022 Technology Innovation Leader for Digital Industrial Platforms and the 2024 Microsoft Energy & Resources Partner of the Year. With a mission to accelerate digital transformation across energy, oil & gas, manufacturing, and heavy industries, we re building a more connected and intelligent industrial future. Our Values Impact: We are result-oriented, focusing on real-world outcomes. Ownership: We take responsibility, work inclusively, and rise to challenges together. Relentless: We push boundaries, solve hard problems, and learn from every setback. About the Role As a Senior Solution Architect in the Global Customer Success (GCS) team, you ll play a key role in designing cutting-edge digital solutions for some of the world s largest industrial companies. Working within the EMEA Delivery organization, you ll collaborate with customers in the MENA and SEA regions to drive business outcomes and successful technology adoption. This is a customer-facing role where your technical leadership will directly influence the success of digital transformation projects helping clients improve productivity, reduce costs, and meet sustainability goals. What You ll Do Lead end-to-end architecture design for large-scale industrial data solutions. Deliver strategic and technical guidance to internal and external stakeholders. Define scalable enterprise architecture, including integrations, data pipelines, and models. Communicate complex ideas clearly using architecture modeling tools and documentation. Ensure operational stability of solutions with clear support models. Own technical relationship building and act as a trusted advisor to clients and partners. Translate customer feedback into product development inputs. Lead training sessions and collaborate with Sales, Product, and Engineering teams. Independently build integration flows using Cognite SDKs, SQL, Python/Java, and REST APIs. What You ll Bring 8+ years in software development, systems architecture, cloud computing, or IT consulting. Proven customer-facing experience, with the ability to bridge technical and business conversations. Solid hands-on experience in Python, with strong software engineering practices. Strong grasp of data modeling, DevOps principles, and cloud infrastructure. Expertise in AI, cloud, and data integration tools. Excellent communication skills, especially in engaging with executive stakeholders. Experience in Oil & Gas or other industrial sectors is a plus. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work from our modern Bengaluru office (Rathi Legacy, Hoodi) with a hybrid work setup. Thrive in a flat, transparent organization with minimal bureaucracy. Collaborate with industry leaders on ambitious digital projects across the globe. Build innovative solutions that enable better decision-making, operational efficiency, and environmental impact. Enjoy a fun, respectful, and highly engaged culture where your work truly matters. Make Your Impact Cognite is not just another tech company we re building a movement that enables safer, more efficient, and more sustainable industrial operations. If you're excited to work on meaningful challenges with cutting-edge AI and data platforms, we encourage you to apply today. We welcome and value candidates from all backgrounds, experiences, and identities.

Senior Customer Success Engineer II Bangalore (EST Shift) Location: Bangalore, India Shift: EST Hours About Rubrik s Global Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is dedicated to delivering a world-class post-purchase experience. Our team provides comprehensive post-deployment technical support across a diverse set of technologies and cloud environments. We ensure timely activation and adoption of Rubrik s SaaS products and technologies to deliver maximum value. As a vital member of this team, you will serve as a trusted advisor and key point of contact for customers and partners, working closely with cross-functional teams to ensure customer success. In a data-driven world, Rubrik s Customer Support Team is the backbone of data security strategies, leveraging deep technical expertise in data management, protection, and recovery to swiftly resolve complex issues while maintaining exceptional customer experience. Role Overview As a Senior Customer Success Engineer II, you will provide enterprise-level technical support to customers through multiple channels including phone, web, email, and chat. You will deliver effective solutions to technical and non-technical users while supporting a broad range of cloud and technology deployments. Key Responsibilities Manage and resolve technical support cases from basic queries to advanced troubleshooting involving complex issues. Analyze and isolate root causes using structured troubleshooting and problem analysis techniques. Independently diagnose and resolve problems within the customer s environment, escalating when necessary. Provide expert advice on cloud infrastructure services and best practices. Research, troubleshoot, and resolve escalated customer issues promptly and accurately. Ensure detailed documentation, recording, and closure of all cases. Collaborate with internal teams (escalations, engineering, etc.) to facilitate clear communication and resolution. Contribute technical content to Rubrik s Deployment Guides, Knowledge Base, and FAQs. Demonstrate strong case management skills to proactively resolve issues and maintain high customer satisfaction. Create technical designs and documentation related to cloud deployment architectures. Required Experience & Skills 8+ years of experience in enterprise technical support, DevOps, or related fields. Expertise in troubleshooting advanced issues such as snapshots, replication, data recovery, cloud deployments, networking, and VMware administration. Strong problem-solving skills with ability to work independently. Proficient knowledge of VMware, Linux, Kubernetes, Google Cloud Platform, AWS, Azure, Office 365 API, databases (preferably MS SQL), scripting languages (Python, Perl), automation, microservices architecture, SaaS systems, and cloud application management. Hands-on experience with cloud deployments and infrastructure. Ability and willingness to learn and adapt across a broad technology stack. Comfortable filing bugs and collaborating with engineering teams to reproduce and resolve issues. Bachelor s degree in Computer Science, Engineering, or a related field. Rubrik (NYSE: RBRK) is committed to securing the world s data with its industry-leading Zero Trust Data Security approach. Our Security Cloud, powered by machine learning, protects data across enterprises, clouds, and SaaS applications. We empower organizations to maintain data integrity, ensure availability during disruptions, continuously monitor risks, and quickly restore business operations in the event of cyberattacks or failures. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Delivery Solutions Architect Location: Bengaluru, India Company: Databricks Role Overview As a Delivery Solutions Architect (DSA) at Databricks, you will be the key technical leader post-sale, collaborating closely with sales, field engineering, and product teams to accelerate adoption and maximize value for complex, strategic customers. You will lead technical account strategies, drive onboarding and enablement, troubleshoot issues, and ensure successful production rollout and healthy consumption of Databricks workloads. Key Responsibilities Partner with Solutions Architects to understand customer use cases and demand plans. Own and execute technical strategies for prioritized customers and use cases. Serve as the primary technical point-of-contact post-sale for key accounts, managing multiple use cases. Coordinate internal Databricks resources and escalate issues as needed to ensure customer success. Develop and manage execution plans covering onboarding, user enablement, product adoption, and governance. Provide regular updates on customer health, usage KPIs, risks, and product adoption to senior leadership. Collaborate with Professional Services for engagement proposals and delivery. Navigate product and engineering teams to incorporate new innovations and upgrades. Qualifications & Experience 8+ years of technical project/program delivery experience in Data and AI domains. Proficiency in Python, SQL, or Scala programming. Customer-facing experience in pre-sales, technical architecture, customer success, or consulting roles. Strong understanding of distributed data systems architecture and how to link business value to project outcomes. Skilled in managing technical escalations, stakeholder management, and strategic roadmap development. Demonstrated track record of meeting or exceeding goals/quotas. Bachelor s degree in Computer Science, Information Systems, Engineering, or equivalent experience. Willingness to travel up to 30%. About Databricks Databricks is a leading data and AI company that powers thousands of organizations worldwide with its unified Data Intelligence Platform. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks empowers enterprises to innovate with data and AI. Qualification : Bachelors degree in Computer Science, Information Systems, Engineering, or equivalent experience.

Principal Systems Development Engineer Thermal Controls Location: Bengaluru, India Team: Systems Development Engineering Company: Dell Technologies Role Overview As a Principal Systems Development Engineer specializing in Thermal Controls, you ll lead the design and validation of advanced cooling algorithms for Dell s server products, especially those geared towards AI, HPC, and enterprise applications. Your role bridges hardware, firmware, and software to deliver efficient, reliable thermal management systems and uncover innovation opportunities. Key Responsibilities Design, document, implement, and validate thermal control algorithms in collaboration with Dell s global systems management software and thermal teams. Debug and validate thermal control features on live server hardware. Set up and operate servers with varying configurations to test thermal control functionality. Diagnose and route field issues, contributing to resolution strategies. Develop or enhance automation tools to support thermal design and validation workflows. Essential Requirements 5+ years of industry experience in: Mechatronics Thermal controls Electronics cooling Hardware/firmware debugging Strong programming skills in Python, C, or similar languages. Familiarity with server systems: BIOS, CPLD, BMC, device drivers. Proficiency in Linux OS and strong understanding of general OS principles. Excellent debugging, problem-solving, and communication skills. Desirable Qualifications Bachelor s or Master s degree in: Computer Engineering Mechanical Engineering with a focus on controls or mechatronics Experience designing and implementing electronic cooling solutions (hardware to firmware). Proficiency with CAD tools (especially CREO) for mechanical and thermal design. You ll work on thermal control systems that enable the latest in AI and high-performance computing, shaping the future of Dell s data center and server technologies. Dell s engineering culture offers hands-on collaboration, career development, and the opportunity to lead innovations at the intersection of hardware, firmware, and software.

Job Title: Principal Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time | Hybrid Experience Level: 15+ Years About Eightfold.ai Eightfold.ai is on a mission to solve one of the most pressing problems of our society employment. We are reimagining how individuals connect with the right opportunities by focusing on potential, not just past experience or networks. Our AI-powered Talent Intelligence Platform helps global organizations hire, develop, and retain diverse talent more effectively. With over $410M in funding and a valuation exceeding $2 billion, we are backed by some of the world s top investors. Join us and be part of a fast-growing company that s making a global impact. About the Team You will join the core team behind our flagship Talent Acquisition (TA) product, a critical revenue-generating platform used by global enterprises. This team: Drives end-to-end feature development and platform scalability. Integrates the latest in AI and Large Language Models (LLMs). Accelerates hiring outcomes for customers worldwide. Builds new products and enhances existing ones for long-term value. What You ll Do As a Principal Engineer, you will play a pivotal technical leadership role, influencing architecture, mentoring engineers, and ensuring robust product delivery. Lead architecture & design of complex, scalable systems that power our core products. Hands-on development of mission-critical features and services. Mentor and coach engineers through code reviews, design discussions, and best practices. Collaborate cross-functionally with product managers, designers, and engineering leaders to align technical execution with business goals. Drive innovation by integrating emerging technologies like LLMs, cloud-native tooling, and modern dev practices. Participate in strategic planning and recruit top engineering talent through hiring initiatives and technical evaluations. Represent the team in internal and external tech talks, meetups, and conferences. 15+ years of hands-on software engineering experience with a proven track record in product companies. Deep expertise in scalable distributed systems, microservices architecture, and cloud-native platforms. Passion for clean, maintainable, high-performance code and a commitment to engineering excellence. Experience building large-scale web applications in a SaaS or startup environment. Excellent communicator and natural leader with the ability to inspire engineers and drive impact. Familiarity with modern tech stacks and cloud platforms (AWS, GCP, or similar). Self-starter with strong ownership, curiosity, and problem-solving skills. Engineering Culture at Eightfold At Eightfold, you won t be handed just a task you ll be given ownership and purpose. We believe in: Responsibility over hierarchy Transparency and open communication Continuous learning and improvement Fast, iterative execution Making a real-world impact Work Model & Benefits Hybrid Work Model: We believe in flexibility and collaboration. Our team works from the Bangalore office two days a week, with plans to transition to three. What We Offer: Competitive compensation & equity options Comprehensive health benefits for you and your family Cutting-edge work on AI, ML, and platform-scale technologies Global exposure and opportunities for rapid career growth Equal Opportunity Statement Eightfold.ai is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, religion, gender, age, or background. If you're a hands-on technical leader passionate about scalable architecture, mentorship, and real-world AI applications, we d love to hear from you. Apply now to shape the future of employment with Eightfold.ai.

Engineering Manager Location: Bangalore, Karnataka Full Time Experience: 8 - 12 Years About the Role Swiggy is looking for a passionate and hands-on Engineering Manager to join our high-performing tech team in Bangalore. You will play a pivotal role in driving the technology vision and strategy for the Food, Instamart, and Dineout business lines, building scalable platforms that power promotions, pricing, and ads across millions of daily interactions on the Swiggy app. This role is ideal for an experienced engineering leader who thrives in a fast-paced environment, can architect scalable systems, and enjoys mentoring and growing high-performing engineering teams. Key Responsibilities Lead a cross-functional team of backend and frontend engineers to build scalable and high-quality software solutions. Collaborate closely with Product Managers, Designers, and Business stakeholders to deliver robust, user-centric products. Co-own and drive the technology vision and architectural decisions for the team and product. Create clear career paths for team members and guide their development and growth. Mentor and coach team leads, senior engineers, and architects across the team. Drive the adoption of best software engineering practices including code reviews, testing, CI/CD, and design standards. Ensure timely delivery and consistent execution on business goals while maintaining technical excellence. 8 12 years of software development experience with at least 1 2 years in a people management or technical leadership role. Proven ability to lead engineering teams of 10+ developers in a dynamic, growth-focused environment. Strong hands-on experience with backend technologies like Java, Golang, Python, and related frameworks. Experience with web technologies, distributed systems, microservices architecture, and high-volume data pipelines. Strong foundation in databases: MySQL, NoSQL, Redis, and cloud technologies (e.g., AWS). Track record of building and scaling systems for products with high user engagement and traffic. Strong problem-solving, analytical, and technical decision-making skills. Excellent communication and stakeholder management skills. As part of Swiggy s Food Tech team, you will directly contribute to Swiggy s mission of becoming the King of Convenience. This is a high-impact leadership role that allows you to shape products used by millions, influence technical strategy, and build a world-class engineering team in one of India s leading consumer tech companies. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Technical Lead - L1 | Mumbai, India Country/Region: IN About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. We deliver innovative digital transformation solutions across 65 countries with over 230,000 employees. Role Purpose The Technical Lead - L1 role focuses on supporting process delivery, overseeing the performance of Production Specialists, and resolving technical escalations. The role also involves developing the technical capability of the team and ensuring excellent client service. Key Responsibilities Process and Performance Management Review daily performance metrics and transactions for the team. Provide technical support and guidance to improve performance parameters. Track and resolve client queries in compliance with SLAs. Document trends from client issues to develop preventive measures. Technical Escalation & Troubleshooting Diagnose and resolve technical issues promptly and professionally. Escalate unresolved issues to relevant teams for timely resolution. Provide clients with step-by-step troubleshooting guidance. Follow up with clients to collect feedback and ensure service compliance. Capability Development and Training Mentor Production Specialists and improve their technical capabilities. Identify skill gaps and conduct targeted training sessions (triages). Stay updated with product changes through ongoing training programs. Share best practices with the team for continuous improvement. Team Management and Client Engagement Monitor team productivity, efficiency, and absenteeism. Track client feedback and performance metrics (Pulse score, NSAT/ESAT). Ensure client satisfaction by resolving technical queries and providing exceptional service. Key Performance Metrics Process: Number of cases resolved, compliance to SLAs, customer feedback (NSAT/ESAT). Team Management: Productivity, efficiency, absenteeism rates. Capability Development: Triages completed, technical test performance. Join Wipro and contribute to transformative digital solutions with cutting-edge technology. Be a part of our diverse, inclusive team where innovation thrives. Applications from people with disabilities are explicitly welcome.

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Summary: (Sr. Lead Engineer) Qualcomm Simulation platform team would be responsible for defining/prototyping/developing software s on the emulation platforms. Looking for an experienced BSP engineer for virtual platform, who can help us is developing virtual prototype software solution for snapdragon automotive products. Candidate must have an excellent understanding of the complex SoCs architecture & its Software stack. Education & Experience: Bachelor s/master s degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience. Primary Responsibility: Software (BSP) Bring-up on Virtual Platforms. Understand the emulation platform SoC architecture and develop single software solution. Ability to collaborate with cross functional teams and deliver the quality product under strict timeline. Define & develop custom virtio architectures. Pre-silicon software development platform prototype development Develop solution to improve performance of software running on Virtual platform. Supporting internal & external customers on Bring up & debugging from Software & emulation side. Mandatory Skills: Knowledge in Linux/QNX BSPs & Full Boot Chain. Strong System level programming skills in C/C++. Python, Rust is a plus. Excellent knowledge of OS fundamentals, Data structures, Linux kernel and its device driver model Strong debugging, analytical and problem-solving skills. Should have knowledge on debuggers like T32,gdb, etc., Strong collaboration skills with the ability to collaborate with multiple functional teams. Able to understand and debug large complex SW. Fair understanding of CPU (ARM), subsystems, SOC architecture and its SW-layers Fair understanding of the Virtual Machines with Type1 and Type2 Hypervisors Added Advantage: Fair understanding of QEMU/KVM platforms. Fair understanding of multimedia systems (GPU/Display/CAM/VPU/etc.,) knowledge. Fair knowledge of hardware-software interface and SystemC ASPICE and ISO26262 know how is preferred. Automotive experience is preferred. Qualification : Bachelors/masters degree in computer science, electronics engineering, or relevant domain with 6~8 years relevant industry experience.

Job Title: Security Engineer - II Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: Key Responsibilities: Conduct comprehensive threat modeling for applications, cloud infrastructure, and overall systems architecture. Perform secure code reviews and security assessments for web, Android, and iOS applications, with a strong focus on cloud infrastructure security. Proactively identify and mitigate vulnerabilities across platforms, collaborating with development and DevOps teams to implement secure solutions. Automate and streamline security processes, aligning with the principle that Complexity is the enemy of Security. Oversee Vulnerability Management and Patch Management processes, ensuring timely remediation. Design and implement robust security measures and contribute to Red Team activities, including assessments of cloud, network, wireless, physical, and social engineering scenarios. Take ownership of assigned tasks and drive the continuous improvement of security practices across the organization. Assist in setting up and maintaining monitoring systems to identify and respond to potential incidents in real time. Develop custom tools, scripts, and scanners to address unique security challenges and automate repetitive tasks. Provide architectural guidance for securing cloud-based applications and DevOps pipelines. Continuously stay updated on emerging security technologies and techniques, sharing knowledge with the team. Qualifications: 3-5 yrs experienced Sr security engineer. Expertise in cloud security (AWS, Azure, or GCP) with a strong understanding of securing applications and infrastructure in cloud environments. Proficiency in DevOps and DevSecOps practices, including secure CI/CD pipeline integration and automation. Strong knowledge of OWASP and SANS testing methodologies for identifying and mitigating security vulnerabilities. Good understanding of software security weaknesses, architecture vulnerabilities, and mitigation strategies. Hands-on experience in threat modeling, vulnerability assessments, and penetration testing. Proficiency in any scripting language - Python. Experience in developing or customizing tools, scanners, or extenders for specific security needs. Ability to work independently and collaboratively within a team to solve complex security challenges. Experience in implementing security monitoring systems for early incident detection. Strong problem-solving skills and the ability to think creatively to simulate attack scenarios. Certification in security-related fields (e.g., AWS Certified Security, CISSP, CEH, OSCP). Experience with container security and orchestration platforms like Kubernetes and Docker. Knowledge of Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Familiarity with modern DevOps tools (e.g., Jenkins, GitLab, Ansible). Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

AI & Cloud Solutions Architect - Infrastructure AI COE Introduction The Infrastructure AI Center of Excellence (COE) is a dedicated team of technical professionals focused on leveraging AI to empower IBM Infrastructure employees to be more effective in their jobs or improve customer's experience when they interact with IBM. We along with the AI Guild serves as a vehicle for knowledge sharing, collaboration, & skill development related to AI. Our core objectives are VELOCITY and SAFETY. We want to help roll out AI projects as quickly as possible, while also ensuring that they are done safely and while operating within the guardrails for AI usage within IBM. Your Role and Responsibilities Looking to make a significant impact? This is your chance to become a key technical architect in a dynamic team of talented professionals, designing and architecting innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Solutions Architect to join us. This technical leadership role focuses on designing scalable architectures, establishing technical standards, and providing architectural oversight for AI-based services. You will be instrumental in solving complex technical challenges, designing system architectures, and collaborating with development teams to implement robust AI solutions. You will establish architectural principles and patterns while ensuring technical excellence across projects. Your efforts will ensure scalable, maintainable, and secure AI solutions for our customers. As an essential part of the technical leadership team, you will shape the technical vision while providing architectural guidance to development teams. Design and establish architectural frameworks for AI and cloud-based solutions. Create and maintain technical roadmaps for AI implementations across the infrastructure. Provide architectural oversight and technical direction for complex AI projects. Define technical standards, patterns, and best practices for AI solution development. Evaluate and recommend new technologies and frameworks for AI implementations. Collaborate with development teams to ensure architectural compliance and technical excellence. Design scalable, secure, and maintainable AI solutions. Create detailed architecture documentation and technical specifications. Review and approve technical designs and implementation approaches. Identify and mitigate technical risks in AI solution architectures. Required Education Bachelor's Degree Required Technical and Professional Expertise Minimum 7-12 years of experience in software development with focus on technical architecture. Deep expertise in designing AI solutions using frameworks like TensorFlow, PyTorch, LLMs, Generative AI. Strong background in cloud architecture patterns and microservices design. Extensive experience with distributed systems architecture and design patterns. Expert knowledge of backend technologies, including server-side languages (Node.js, Python, Java) and databases. Proven experience in designing RESTful APIs and event-driven architectures. Deep understanding of Cloud Technologies, Kubernetes, Kafka, Object Storage, and container technologies. Strong background in security architecture and compliance requirements. Experience in designing highly available and scalable cloud services. Expert knowledge of architectural patterns for AI model deployment and integration. Preferred Technical and Professional Experience Experience with emerging AI technologies and architectural patterns. Knowledge of enterprise architecture frameworks. Background in designing solutions for hybrid cloud environments. Experience with performance optimization and scalability design. Strong technical documentation and diagramming skills. Expertise in API design and management. Background in designing event-driven architectures. Experience with infrastructure as code and automation. Knowledge of AI governance and responsible AI principles. Track record of successful large-scale AI solution implementations.

End to End Solution Architect Location: Bangalore Role: End to End Solution Architect Experience: 15 - 25 years Number of Positions: 2 Qualifications: Job Description: Minimum of 15 years experience as an enterprise/solution architect in the telecom domain. Should have worked in telecom OSS systems. Knowledge about Enterprise products (B2B space) is needed e.g., managed broadband, managed security, etc. Telecom/Cable background is a must. Must be fluent in German. Must have experience in a multi-vendor environment. Manage Architecture deliverables; ensure understanding of Solution across all Epics and Tracks. Create and maintain end-to-end architecture artifacts including but not limited to, interface design documents, process design documents, sequence diagrams, data flow diagrams, and data models across the B/OSS ecosystem. Create and maintain the solution architecture roadmap across all Epics and produce architecture blueprints for each release iteration. Review business requirements and collaborate with development teams to identify system impacts and estimates. Conduct and represent in Joint Application Design (JAD) sessions as necessary during the design and integration phases. Follow through architecture issues and integration challenges that arise throughout the software development life cycle and provide resolution. Collaborate and drive alignment with key business stakeholders, solution development, and testing teams on architecture approach and direction. Co-ordinate with PM s, infrastructure/operations team, testing teams, and release/change control teams as needed. Defining software enterprise architecture. Demonstrating the ability to create systems architecture and solution design given a brief product requirement. Designing new features to meet new business requirements. Must have knowledge of Middleware-oriented management, Enterprise Service Bus (ESB), Enterprise Architecture tools (Visio, IBM Rational Software Architect, etc.), and Service Oriented Architecture (SOA). Workflow and business process management. System integration lifecycle for an OSS implementation. Expertise on leading COTS platforms. Office core field service management. Familiarity with Agile software development processes knowledge of the scaled agile framework is preferred. Ability to work in a multi-vendor environment.

About Adobe At Adobe, we're changing the world through digital experiences. From emerging artists to global brands, we provide the tools needed to design and deliver exceptional digital experiences. We're passionate about empowering people to create beautiful, powerful images, videos, and apps that transform how companies engage with customers across every screen. We're on a mission to hire the very best talent, fostering an inclusive culture where everyone is respected and has access to equal opportunities. We believe great ideas can come from anywhere, and the next big idea could be yours! The Opportunity The Customer Success Solution Architect plays a key role in helping brands maximize the value of their customer experience management (CXM) transformation by leveraging Adobe's solutions to deliver personalized, impactful experiences across all channels. In this role, you will work with customers who are struggling to fully utilize or realize the value of their Adobe Digital Experience (DX) solutions. Your expertise will guide them in operationalizing teams, solving complex challenges, and advising on strategies and technology to support their CXM transformation. What You ll Do Strategize and Architect Solutions: Collaborate with customers to understand their business requirements and translate them into a North Star architecture, recommending Adobe solutions to enhance their digital experiences. Solve Customer Challenges: Dive deep into architecture and advise on strategies that help customers unlock the full potential of their Adobe investment, addressing issues in customer experience management. Customer & Internal Collaboration: Maintain strong governance, communication, and organizational change, both with the customer and internally, working closely with the Ultimate Success Organization, Sales teams, and other customer-facing teams. Cross-Team Collaboration: Provide regular feedback and work with Product Management, Engineering, Product Marketing, and Service Marketing to ensure customer needs are addressed. Innovation: Identify opportunities across multiple customers and create new solutions that can be implemented at scale, helping to build out standard processes for future success. What You Need To Succeed Experience: 10+ years of relevant experience in enterprise architecture advisory, particularly in Adobe Digital Experience solutions. Expertise in Adobe DX Solutions: Deep knowledge of Adobe solutions such as AEM, Campaign, AEP, and related apps like CDP, CJA, or AJO, with a focus on integration and implementation to realize value. Problem-Solving: A creative and innovative mindset to solve complex technical problems and make impactful decisions that drive customer success. Communication Skills: Ability to explain complex ideas clearly, both verbally and in writing, to customers and internal teams. Customer-Centric Focus: A track record of building strong relationships with customers, leading change, and driving impactful technical solutions. Integration Knowledge: Familiarity with enterprise application integration (EAI) concepts, APIs, microservices, middleware, and AI/ML concepts to drive effective communication between customer applications. Ad Tech Experience: Experience with ad technology platforms such as DMPs, DSPs, Ad servers, and Cross-Device Tracking systems. Data Architecture Knowledge: Familiarity with CRM systems, email platforms, data lakes, data warehousing, and big data architectures to support optimal data management. Emotional Intelligence: Strong interpersonal skills and the ability to lead with emotional intelligence, building trust and rapport with customers and internal stakeholders. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based on gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.