AI Infrastructure Architect Jobs in Bengaluru

MTS - Software Developer (Cloud AI Network Security Developer) Location: Bengaluru Company: Aviatrix Experience: 1 3 years About Aviatrix: Aviatrix is a cloud network security leader trusted by over 500 enterprises. We specialize in securing multi-cloud environments, offering runtime protection and advanced control for modern cloud infrastructures. Role Strategy & Impact In this role, you will build next-generation intelligent cloud network security solutions. You will focus on developing Python/Go microservices that fuse network visibility with LLM-driven insights to redefine cloud firewall capabilities. Technical Requirements Core Competencies: Development: Professional experience in Go (Golang) or Python. Cloud Networking: Fundamentals of Routing, NAT, VPNs, and Subnets. Security: Understanding of Firewall concepts (ACLs) and Zero Trust architecture. AI Integration: Experience using AI/LLM APIs (OpenAI, Vertex AI, etc.). Data Infrastructure: Workflows involving Kafka, data ingestion, and stream processing. Cloud Ecosystem: Hands-on familiarity with AWS, Azure, or GCP. Preferred Qualifications: Network Observability: Experience with NetFlow, IPFIX, or VPC Flow Logs. Modern DevOps: Hands-on with Kubernetes, Container Networking, and Terraform. Generative AI: Knowledge of Prompt Engineering or RAG-based systems. Key Responsibilities Control Plane Development: Build services for firewall rules and policy orchestration. AI Workflows: Integrate LLM-based assistants for anomaly detection and alert summarization. Telemetry Pipelines: Maintain high-performance data pipelines for security event metrics. Security Logic: Design logic for threat pattern recognition and posture scoring. Benefits & Why Join Us Global Benefits: Private medical, pension, and life assurance. Work-Life Balance: Generous holiday allowance and annual wellbeing stipend. Growth Mindset: We value diverse paths if you are passionate about AI and Security, we want to hear from you.

Manager, Enterprise Applications Location: Bengaluru Team: Tech Ops Experience Required: 8+ Years (including 2+ years in Leadership) About Aviatrix: Aviatrix is a leading cloud network security company trusted by over 500 enterprises. Our Cloud Native Security Fabric (CNSF) delivers runtime security and visibility, enabling teams to adopt AI and serverless computing with confidence. The Role: Technical Manager & Architect We are seeking a Manager, Enterprise Applications for a hybrid role that balances hands-on engineering with strategic leadership. You will drive the design of secure, scalable applications while fostering a culture of accountability and excellence within our Bengaluru development team. Technical Expertise Core Technology Stack: Serverless Mastery: Expert-level proficiency with AWS Lambda and AWS Step Functions. Full-Stack Development: Professional experience in Node.js, Python, and React. Data Management: Strong knowledge of Postgres and cloud platforms (AWS, Azure, GCP). Advanced Engineering Skills: AI & LLM Integration: Experience building LLM-powered applications and leveraging AI tools for code generation and architecture exploration. Security & Authentication: Deep understanding of SSO integrations, API design, and distributed systems security. Infrastructure: Familiarity with DevOps, CI/CD, and automated testing frameworks. Key Responsibilities Technical Leadership: System Design: Lead the delivery of complex enterprise applications, making critical strategic trade-offs and proposals. Operational Efficiency: Continuously improve application reliability, performance, and security. Cross-Functional Representation: Act as the primary technical liaison for stakeholders and business partners. People & Team Management: Team Mentorship: Conduct 1:1s, performance reviews, and career development discussions for junior engineers. Execution & Planning: Drive team performance through strategic planning, tracking, and alignment with organizational priorities. Growth: Lead technical hiring to expand the Enterprise Applications team. Benefits & Why Aviatrix Total Rewards: Comprehensive pension, private medical, life assurance, and long-term disability. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Inclusive Environment: We value unique paths. If you are passionate about leading engineers and solving cloud-scale challenges, we want to hear from you.

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

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 IT Operations Engineer Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Staff Finance Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader advancing industrial digital transformation through AI and data with flagship products like Cognite Atlas AI and Cognite Data Fusion. We are recognized as innovators and partners of choice in sectors including Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview Join Cognite s Global IT Operations team in Bengaluru, where you will design, deploy, and maintain cloud infrastructure and IT systems critical to business operations. Your role will encompass managing Azure and SaaS platforms, automating processes, troubleshooting complex issues, and collaborating with teams to enable seamless IT services. Key Responsibilities Architect and manage cloud infrastructure solutions across Microsoft Azure, Google Workspace, and Atlassian tools. Handle IAM, user provisioning, and SaaS management with in-depth expertise in Microsoft Intune, Jamf Pro, and security tools. Develop automation using Terraform, PowerShell, Python, and manage CI/CD pipelines with GitHub. Provide hands-on support including access management, technical troubleshooting, and resolving issues across diverse SaaS platforms (Azure, GWS, Atlassian, Slack). Document IT processes and collaborate with internal teams to enhance IT operations. Your Profile 5 8 years experience in IT Cloud Infrastructure and IT Operations. Strong expertise in Microsoft EntraID, Intune, Azure, Google Workspace, and Atlassian products (Jira, Confluence). Proficient in scripting and automation with PowerShell, Python, Terraform, and GitHub version control. Experience with ITSM tools, preferably Jira Service Management. Bachelor s or Master s degree in IT or related field. Collaborative, service-minded, and patient with problem-solving and troubleshooting. Comfortable working with Windows and macOS environments, and security tools like Microsoft Defender and Jamf Protect. Diverse global team with 70+ nationalities and strong DEI focus. Modern, vibrant office environment in Bengaluru with hybrid work flexibility. Flat organization providing direct access to decision-makers. Work on innovative projects impacting major industries worldwide. Engage in an active community and partner ecosystem. Qualification : Bachelors or Masters degree in IT or related field.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Technical Staff, Software Engineering CTO Storage Team Location: Bengaluru, India Team: CTO Storage Company: Dell Technologies Role Overview You will architect and lead the development of advanced storage architectures focusing on data path technologies across Dell s storage portfolio. This senior technical role involves innovation in AI-driven infrastructure, storage protocols, and system integration, collaborating closely with product teams, management, and external partners to deliver cutting-edge solutions. Key Responsibilities Present innovative storage technology ideas to executive leadership. Architect detailed product designs including functionality, performance, integration, and hardware needs. Lead prototyping, testing, and validation efforts focusing on scalability and performance. Collaborate cross-functionally to build POCs and MVPs ensuring seamless integration of technologies. Mentor and uplift junior engineers and peers, encouraging innovative thinking and solutions. Essential Requirements Experience: 15+ years with Bachelor s degree, OR 12+ years with Master s degree, OR 8+ years with PhD, OR equivalent experience Expertise in AI-driven operations, telemetry, data integration, and storage connectivity/protocols. Deep knowledge of: Filesystem data paths, object protocols, Linux kernel ecosystem. Storage & networking drivers and standards. Unstructured & structured data ecosystems and connectors. Drive technologies and hardware ecosystem (CPU, PCIe, networking, DPU, offload engines). Strong programming skills in Embedded C and Python on Linux OS. Active contributions to open-source or tech communities, plus demonstrated leadership in mentoring. Desirable Qualifications Advanced certifications or publications in Storage Software, AI, Deep Learning, or related fields. Proven track record of leading impactful, innovative projects. Ongoing engagement with open-source projects or technical communities. Join a team pushing boundaries in storage and AI infrastructure, shaping the future of data management with innovative technologies. Collaborate with industry experts and enjoy growth opportunities while making a meaningful impact.

Lead DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with flexible work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, we d love to hear from you!

Data Scientist Lead - L1 Requisition ID: 64997 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Role Purpose: The purpose of this role is to define, architect, and lead the delivery of machine learning and AI solutions. Key Responsibilities: Demand generation through support in Solution development Support Go-To-Market strategy. Collaborate with sales, pre-sales & consulting teams to assist in creating solutions and propositions for proactive demand generation. Contribute to the development of solutions, proof of concepts aligned to key offerings to enable solution-led sales. Collaborate with different colleges and institutes for recruitment, joint research initiatives, and provide data science courses. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions Develop Machine Learning / Deep Learning models for decision augmentation or for automation solutions. Collaborate with ML Engineers, Data Engineers, and IT to evaluate ML deployment options. Integrate model performance management tools into the current business infrastructure. Team Management Resourcing: Support recruitment process to onboard the right resources for the team. Talent Management: Support onboarding and training for team members to enhance capability & effectiveness. Manage team attrition. Performance Management: Conduct timely performance reviews and provide constructive feedback to direct reports. Be a role model to the team for the five habits. Ensure that the Performance Nxt process is followed for the entire team. Employee Satisfaction and Engagement: Lead and drive engagement initiatives for the team. Performance Parameters: No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive Experience: 5-8 Years About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome.

Digital - Technology Specialist - Azure & AI Location: Bangalore, Karnataka, India Employment Type: Full-Time About the Role At Microsoft, the Small Medium Enterprises and Channel (SME&C) team is at the forefront of driving AI-powered global sales. We are empowering businesses of all sizes through the transformative power of Microsoft technologies. In this dynamic role, you will engage directly with customers and partners, leveraging your expertise in Azure and AI technologies to scale solutions and drive business outcomes. SME&C is more than a sales organization it s a vibrant, innovative community. By joining us, you ll be part of a high-growth, customer-obsessed team dedicated to redefining how businesses adopt technology for growth and innovation. Key Responsibilities Scale Customer Engagements: Work with customer technical decision-makers to anticipate needs, gather data, and drive technical discussions that lead to successful outcomes for Azure & AI technologies. Engage Through Partners: Collaborate with partners and internal resources to facilitate technical engagements and overcome blockers. Build Strategy: Contribute to strategy development by sharing competitive insights and feedback from customer sessions, shaping how Microsoft solutions can drive customer success. Solution Design and Proof: Demonstrate and apply Microsoft solutions to customer challenges through architectural design sessions (ADS), proof of concept (POC), and solution demonstrations. Technical Leadership: Build your domain knowledge, conduct training, and act as a mentor within the community to grow technical expertise and enhance customer engagements. Qualifications Required/Minimum Qualifications: 3+ years of technical pre-sales or technical consulting experience, OR Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field with 4+ years of technical experience. Relevant certifications in Microsoft or competitive platforms, such as Microsoft Office 365, Power BI, Azure, or Cloud Platform Technologies. Additional or Preferred Qualifications: 7+ years of experience in technical pre-sales, technical consulting, or related fields. 4+ years of hands-on experience with cloud, hybrid, or on-premises infrastructure, architecture designs, migrations, and industry standards. Expertise in Azure and AI technologies with a strong ability to craft and deliver customized solutions to customers. Join us in a collaborative, fast-paced, and digital-first environment where your contributions will have a direct impact on the success of businesses globally. At Microsoft, we foster a culture of inclusion, continuous learning, and innovation. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to learning and development resources Employee discounts and savings programs Maternity and paternity leave Global networking and community engagement opportunities Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability status, or any other characteristic protected by law. Qualification : Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field with 4+ years of technical experience.

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.

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.

Job Title: Pre-Sales Technical Project Manager Digital Transformation Location: Bangalore Experience: 12 18 Years Employment Type: Full-Time Job Overview We are looking for a highly experienced Pre-Sales Technical Project Manager to spearhead proposal efforts, drive solution architecture, and deliver impactful demos for Digital Transformation projects. With 12-18 years of experience in the industry, you will play a pivotal role in understanding client challenges and aligning innovative technology solutions that drive business value. This role requires expertise in modern technologies such as APIs, microservices, databases, DevOps, and AI-driven solutions, along with a proven ability to lead cross-functional teams from concept to contract. You will collaborate closely with Sales, Solution Architects, and Delivery teams to develop strategic, cost-effective solutions that meet complex client needs. If you have a passion for transforming technical concepts into business outcomes and communicating those effectively to a wide range of stakeholders, this is the role for you. Key Responsibilities RFI/RFP Management Lead the development of RFI/RFP responses, crafting solutions that highlight the company's strengths and address client requirements. Ensure all responses are tailored, comprehensive, and demonstrate how our solutions meet client needs. Solution Architecture & Design Collaborate with internal teams to design and document Digital Transformation solutions that incorporate modern technologies like APIs, microservices, databases, DevOps pipelines, and AI. Architect solutions from both a strategic and detailed design perspective, ensuring scalability and alignment with client objectives. Technical Demos & Client Presentations Deliver engaging and informative product/solution demos during pre-sales meetings, clearly articulating technical feasibility and business impact. Customize presentations based on the specific needs and challenges of each client or industry sector. Pricing & Financial Modeling Create and validate pricing models, conducting cost-margin analysis and forecasting the potential ROI for proposed solutions. Present financial insights that align with both the client's business objectives and organizational goals. Risk Identification & Transition Management Identify risks related to solution implementation or transition and work closely with delivery teams to define and execute mitigation strategies. Establish governance frameworks to ensure smooth project transitions and minimize operational disruption. Contractual & Compliance Collaboration Collaborate with Legal, Risk & Compliance, IT Infrastructure, Operations, and Finance teams to ensure alignment on contractual documents such as NDAs, MSAs, SOWs, and LOEs. Ensure solutions adhere to relevant standards, regulations, and compliance requirements. Cross-Functional Collaboration Work closely with internal teams to gather both business and technical requirements, ensuring that all aspects of the solution are comprehensively addressed. Foster strong relationships across Sales, Delivery, and senior leadership to ensure smooth pre-sales collaboration and execution. Knowledge Management & Asset Development Maintain a repository of proposals, case studies, demos, and pre-sales templates. Continuously update and refine assets to improve efficiency and effectiveness in future proposal cycles. Required Skills & Experience Experience 12-18 years of experience in Digital Transformation initiatives, with at least 7-10 years in pre-sales or solutioning roles within IT services or consulting. Technical Expertise Strong knowledge of modern technologies, including APIs, microservices, databases, DevOps (CI/CD, containerization, orchestration), and AI/ML. Proven experience in architecting complex solutions from a high-level strategy and detailed design perspective. Financial & Analytical Expertise Demonstrated experience in building and validating pricing models. Strong capability in cost-margin analysis and ROI forecasting. Contractual & Compliance Knowledge Familiarity with legal and compliance documentation, such as NDAs, MSAs, SOWs, and LOEs. Proven ability to work effectively with legal and compliance teams. Communication & Leadership Exceptional verbal and written communication skills, with the ability to present complex technical information to diverse audiences. Strong leadership capabilities, with experience guiding cross-functional teams and driving consensus in challenging situations. Tool Proficiency Proficiency with tools such as ChatGPT, Microsoft Excel, financial modeling platforms, and proposal documentation tools. Preferred Qualifications Education Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Certifications Cloud certifications (AWS, Azure, GCP), PMP, TOGAF, ITIL, or Agile/Scrum certifications. Industry & Global Exposure Prior experience working with international clients and delivering complex, enterprise-level Digital Transformation initiatives. Background in consulting or IT services with a track record of successful multi-regional engagements. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

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.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Applied AI Engineering Team: Solution Architect AgentOS Platform At DevRev, the Applied AI Engineering team plays a crucial role in ensuring that our customers derive the maximum value from our platform. As customers progress through their DevRev journey, they may identify opportunities to integrate with existing enterprise systems, automate workflows, or enhance DevRev's platform capabilities to achieve their business goals. Our team works closely with customers to understand their requirements, designing, developing, and implementing solutions that meet those objectives. Position Overview: We are seeking a highly skilled Architect to lead the design and implementation of custom solutions on our AgentOS platform. In this pivotal role, you will serve as a bridge between business requirements and technical solutions, utilizing your expertise to deliver scalable, robust, and high-performing applications. You will collaborate with cross-functional teams including engineering, product management, and customer stakeholders to ensure that our solutions meet customer needs and drive long-term business success. Key Responsibilities: Design and develop comprehensive technical solutions that align with customer requirements and business goals, ensuring seamless integration with the AgentOS platform. Work closely with customers and internal stakeholders to gather and understand their needs, offering expert guidance on solution feasibility and technical implementation. Lead the architecture and technical design for customer projects, ensuring that all solutions are scalable, robust, and adhere to industry best practices. Oversee the integration of solutions with customer systems and third-party services, ensuring optimal functionality and performance. Create and maintain detailed architectural documentation, including solution designs, system flow diagrams, and technical specifications. Collaborate with engineering teams to ensure the successful implementation of designs and provide guidance throughout the development lifecycle. Stay up to date with emerging technologies and industry trends, integrating relevant advancements into solutions to enhance their functionality and competitiveness. Support pre-sales and partner teams in defining technical requirements for new opportunities, providing input on solution feasibility and estimating project effort. Ensure that all solutions meet stringent quality standards, while adhering to security, compliance, and performance requirements. Qualifications: 8+ years of experience in solutions architecture or a similar role, with a proven track record of designing and implementing complex, scalable solutions. Expertise in Gen AI, cloud technologies, and integration patterns. Hands-on experience with TypeScript, JavaScript, Python, and relevant frameworks is required. Strong problem-solving skills, with the ability to analyze and address technical challenges effectively. Excellent interpersonal and communication skills, with the ability to convey complex technical concepts clearly to non-technical stakeholders and customers. Experience managing multiple projects and deliverables concurrently, with proficiency in project management methodologies and tools. A proven track record of delivering customer-focused solutions and providing exceptional customer service. Experience in SaaS, enterprise software, or platform-centric environments is highly preferred. A Bachelor s degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus. Culture: At DevRev, our culture is rooted in the principles of hunger, humility, honesty, and heartfelt action. We are committed to helping build the world s most customer-centric companies by empowering engineers to better connect with their customers. Our mission is to leverage design, data engineering, and machine intelligence to enable our customers to thrive in an ever-evolving technological landscape. Qualification : A Bachelors degree in Computer Science, Engineering, or a related field is required. An advanced degree or relevant certifications in technologies or architecture frameworks is a plus.

About Databricks At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including: Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic. Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers. Developer tools for operating services across different clouds and environments. Services and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Build and lead an exceptional engineering team by hiring and retaining top talent. Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence. Define and execute long-term roadmaps, collaborating with engineering and product leadership. Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery. What We Look For 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs. Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up. Strong technical background, with extensive experience managing high-performing software engineering teams. Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark , Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent set of platforms to enable all Databricks products to reach customers quickly, and sustainably. As the first Engineering Manager for Money at Databricks India, you will be key to building a base for one of Databricks most central engineering orgs. You will own critical components that form the backbone of our business, starting with Databricks resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The impact you will have: Hire great engineers to build an outstanding team and support their career development by providing clear and timely feedback Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Work with engineering and product leadership to build a long-term roadmap Coordinate execution and collaborate across teams to successfully deliver cross-cutting strategic projects What we look for: 10+ years of extensive experience with large-scale distributed systems alongside processes around testing, monitoring, SLAs etc 5+ years of engineering management experience, building, managing and mentoring high-performing software engineering teams Demonstrated success in collaborating with multiple cross-functional stakeholders to align system features and architecture, to deliver impactful platform projects Experience in developing and implementing proactive mechanisms for failure detection and incident prevention Excellent leadership, communication, and project management skills BS (or higher) in Computer Science, or a related field About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : BS (or higher) in Computer Science, or a related field.

About Databricks At Databricks, we are passionate about empowering data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating medical breakthroughs. We build and run the world s best data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges whether it's designing next-gen UI/UX for interacting with data or scaling our services and infrastructure across millions of virtual machines. And we re only getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will lead a team of talented engineers to build infrastructure and products at scale for the Databricks platform. Our teams work across diverse domains, including: Resource Management Infrastructure: Power big data and machine learning workloads on a scalable, secure, and cloud-agnostic platform. Reliable, Scalable Services and Client Libraries: Handle massive amounts of data across multiple regions and cloud providers. Developer Tools: Help Databricks engineers operate services across different clouds and environments. Services and Infrastructure at the Intersection of Machine Learning and Distributed Systems. The Impact You Will Have Hire and grow a world-class engineering team, fostering a supportive and collaborative environment. Support engineers career development, providing regular feedback and cultivating future engineering leaders. Ensure high technical standards by implementing effective processes (e.g., architecture reviews, testing) and promoting a culture of engineering excellence. Collaborate with engineering and product leadership to define and execute long-term roadmaps. Coordinate execution and unblock cross-team projects, ensuring timely delivery and alignment with business objectives. What We Look For 12+ years of experience with large-scale distributed systems, including expertise in testing, monitoring, and defining SLAs. Proven track record as a Software Engineering Leader, with experience building and scaling engineering teams from the ground up. Extensive experience managing high-performing software engineering teams. Strong collaboration skills to partner with Product Management, Sales, and Customers in developing innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and more than 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.