Virtual Machines VMS Jobs in Bengaluru

Cloud Engineer Azure | Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud Computing Job Summary: We are looking for a skilled Cloud Engineer with expertise in Microsoft Azure to manage, optimize, and support cloud infrastructure solutions. The ideal candidate will have hands-on experience administering Azure cloud environments, implementing security best practices, and automating cloud operations. Key Responsibilities: Administer and support public cloud infrastructure, with at least 2 years of experience in Azure cloud services Manage Azure Compute resources including App Services, Virtual Machines, and Azure Kubernetes Service (AKS) Handle Azure storage and database services such as SQL Database, Blob Storage, and configure Azure Networking components including Azure Firewall, VPN, Load Balancer, and Private Link Utilize Azure native management tools including Azure Blueprints, Azure Policy, Azure Monitor, and backup solutions Implement and monitor security tools such as Azure Security Center, Azure Sentinel, Azure Defender, and manage Azure Key Vault and Azure Active Directory (AAD) Drive automation and Infrastructure-as-Code (IaC) using Azure Automation, Azure DevOps, PowerShell DSC, and scripting languages Develop and maintain automation scripts using Python or PowerShell Collaborate within DevSecOps teams to ensure secure, scalable, and reliable cloud deployments Required Skills: Proven experience with Microsoft Azure cloud services Strong knowledge of Azure Compute, Storage, Database, and Networking services Experience with Azure security tools and best practices Familiarity with Infrastructure-as-Code (IaC) tools and automation frameworks Proficiency in at least one scripting language such as Python or PowerShell Good understanding of cloud security and compliance standards Azure certifications (AZ-104, AZ-303, AZ-500) are highly desirable Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field Experience with continuous integration and continuous deployment (CI/CD) pipelines Familiarity with DevSecOps culture and tools Work with cutting-edge cloud technologies and global teams Opportunity for continuous learning and professional growth in cloud computing Engage in challenging projects that impact business-critical applications Qualification : Bachelors degree in Computer Science, Information Technology, 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.

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

Job Title: Senior Cloud Development Engineer Location: Bengaluru, Karnataka, India About Us: Cloud Software Group combines the capabilities of both Citrix and TIBCO, creating one of the world's largest cloud software providers, serving over 100 million users globally. By joining Cloud Software Group, you will make a significant impact, helping real people access the cloud-based products they rely on to get their work done from anywhere. Our team values passion for technology, the courage to take risks, and the empowerment of every individual to dream, learn, and build the future of work. This is an exciting time to bring your skills to the cloud and be a part of our evolving journey! About This Team: We are seeking a Senior Cloud Development Engineer to join our dynamic DaaS (Desktop as a Service) team. In this role, you'll work with cutting-edge cloud technologies to develop and maintain scalable, secure cloud services. You will be a key contributor to the Citrix DaaS Product Line, working alongside a talented team of engineers to build resilient microservices that power our customer-facing applications. Your work will directly influence the experience of customers and partners globally. Job Description: As a Senior Cloud Development Engineer, you will be responsible for: Back-End Development: Improve business logic, enhance existing features, and build new ones to support the Citrix DaaS product line. Collaboration: Work cross-functionally with teams to define, design, and ship new features that enhance the DaaS experience. Continuous Improvement: Research and evaluate new technologies to maximize development efficiency, with a focus on adopting Generative AI tools where applicable. Agile Methodology: Embrace agile practices such as Jira, SCRUM, SAFE, or Kanban to deliver high-quality products on time. Best Practices: Institute coding standards, including code reviews, integration testing, unit testing, logging, and instrumentation to ensure the robustness of the codebase. Troubleshooting: Understand and resolve field issues, performing root cause analysis and implementing preventive measures to improve performance and security in cloud environments. Required Experience/Skills: Bachelor's Degree (BE/BTech) in a technical field or equivalent work experience. 4+ years of relevant work experience in cloud development or software engineering. Strong understanding of computer science fundamentals, particularly algorithms and data structures. Excellent communication and collaboration skills to effectively discuss technical concepts with cross-functional teams. Strong problem-solving and troubleshooting abilities, with an emphasis on resolving performance and security issues in cloud environments. Preferred Qualifications: Development experience with .NET technologies such as C#. Scripting experience with languages such as Python or PowerShell. Familiarity with cloud computing technologies, including platforms like Microsoft Azure or Amazon EC2. Experience with Sumo Logic or Splunk for troubleshooting and monitoring in cloud environments. At Cloud Software Group, you're not just joining a company; you're becoming part of a team that values your contributions and encourages you to innovate. This is your chance to be a part of one of the largest cloud solution providers, working on cutting-edge technologies that impact millions of users globally. You ll have the opportunity to work in a fast-paced, collaborative environment where your skills are valued and developed. Equal Opportunity Employer: Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, gender identity, sexual orientation, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth, or any other protected classification. Qualification : Bachelor's Degree (BE/BTech) in a technical field or equivalent work experience.

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.

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.

Core Java Developer Bangalore (Bengaluru), India Location: Bangalore (Bengaluru) Experience: 2 to 12 Years Industry: IT Software Web Development & Maintenance Employment Type: Full-time Role Category: Software Development Job Role: Core Java Developer Job Summary: We are hiring a skilled Core Java Developer with strong expertise in Java development, RESTful services, multithreading, and microservices architecture. The ideal candidate will have hands-on experience in building scalable applications using Core Java and J2EE technologies and will work closely with cross-functional teams to design, develop, and deploy enterprise-level solutions. Key Responsibilities: Design and develop applications using Core Java, Collections, Multithreading, and OOPs principles Build and consume RESTful APIs following best practices Write clean, maintainable code with a focus on performance and scalability Participate in code reviews, estimation, and peer programming Develop microservices and integrate them into large-scale systems Utilize frameworks such as Dropwizard, Swagger, and EJB Contribute to the front-end development using Angular when required Work with application servers such as JBoss, Tomcat, and Tomee Use development tools like Eclipse or IntelliJ IDEA for building applications Build and manage projects with tools like Maven and Ant Manage version control using Git and set up CI/CD pipelines with Jenkins Follow Agile methodology and participate in Scrum meetings Work with Linux-based systems and containers (e.g., Docker) is a plus Required Skills: Strong command over Core Java, J2EE, and OOP Concepts In-depth knowledge of Multithreading and Collections framework Proficient in designing scalable microservices Experience with Swagger, Dropwizard, and REST API architecture Familiarity with front-end frameworks like Angular Excellent debugging, problem-solving, and code optimization skills Working knowledge of build tools, CI/CD pipelines, and version control systems Preferred Skills (Nice to Have): Experience with Docker and containerization Exposure to Linux OS and command-line tools Understanding of Agile/Scrum processes Work on high-impact, large-scale applications Collaborative and growth-focused work culture Exposure to cutting-edge technology stacks Opportunity to grow into senior and leadership roles

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.

Senior Performance Engineer Are you ready to work on world changing technologies? Today, organizations need to move with increased agility and insight to grow and thrive. Boomi is one of the hottest tech companies in the SaaS/Cloud industry, named a Leader for the eighth year in a row in the Gartner Enterprise iPaaS Magic Quadrant and recently recognized by Inc. Magazine as one of the best workplaces. Our award-winning, patented technology is transforming the world of integration by making enterprise-class integration technology accessible and affordable to companies of all sizes. Boomi provides the foundation on which your business can evolve and innovate. According to a recent survey by Vanson Bourne, connected businesses are far outpacing their competitors. We help organizations connect everything and engage everywhere across any channel, device or platform. More than 7,000 organizations are using Boomi to run better, faster and smarter. Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people and developing cutting edge technology, you should explore a career with Boomi. Learn more at http://www.boomi.com/ or visit Boomi Careers. Join us as a Performance Engineer on our Performance, Scalability and Resiliency(PSR) Engineering team in Bangalore/Hyderabad, India to do the best work of your career and make a profound social impact. What you ll achieve As a Performance Engineer, you will be responsible for validating and recommending performance optimizations in Boomi s computing infrastructure and software. You will work with our Product Development and Site Reliability Engineering teams on Performance monitoring, tuning and tooling. You will: Analyze Software Architecture (monolith and micro-service) and identify potential areas of performance, scalability and resiliency improvements Identify KPIs, perform trending and analysis, identify patterns and engineer remedial solutions for a high performant, fault tolerant and resilient platform and application stack. Design, automate and perform scalability and resiliency tests using various tools like JMeter, Chaos Monkey or similar Use observability stack to improve diagnosability and trending around Performance bottlenecks Identify performance tuning opportunities and recommend remedial solutions Take the first step towards your dream career Every Boomer brings something unique to the table. Here s what we are looking for with this role: Essential Requirements Expert in performance engineering fundamentals - arrival rate, workload models, responsiveness, computing resource utilization, time complexity, scalability, resiliency etc.. Expert in monitoring the performance using native Linux OS, Application Performance Management(APM) and Infrastructure monitoring tools Experience in analyzing crash dump, thread dump, SQL slow query log and identify performance bottlenecks Expert in recommending optimal resource configurations in Cloud, Virtual Machine, Container and Container Orchestration technologies Flexibility to work in a remote and geographically distributed team environment Desirable Requirements Experience in writing data extraction and custom monitoring tools using any programming language - Java, Python, R , Bash or similar Experience in capacity planning and modelling using AI/ML, queueing models or similar approaches Performance tuning experience in Java or similar application code

Job/Position Summary Experience: 4+ Years of hands-on experience in automotive software developement & Testing background Preffered Skills - VECU, QEMU Mandatory Skills: 1.Virtualization, SIL Testing, Autosar(Classice & Adaptive) and ASPCE Knowladge 2.Unit testing, integration testing, software qualification testing and system testing 3.Protocols - CAN,LIN, Ethernet, SOMEIP, DOIP 4.Tools - dSPACE, CANoe, Lauterbach, vFlash,Trace 32 5.Programming languages - C,C++, python Qualifications: Education: Bachelor s or Master s degree in Computer Science, Electrical Engineering, Embedded Systems, or a related field. Requirement ESSENTIAL SKILLS /COMPETENCIES SIL Embedded C/C++ coding Classic or Adaptive AUTOSAR Ethernet/CAN/LIN Virtual Machine PREFFERED SKILLS /COMPETENCIES QEMU VECU

The Opportunity: Publicis Sapient is looking for a Cloud & DevOps Engineer to join our team of bright thinkers and enablers. You will use your problem-solving skills, craft & creativity to design and develop infrastructure interfaces for complex business applications. Contribute ideas for improvements in Cloud and DevOps practices, delivering innovation through automation. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions. Your Impact OR Responsibilities: Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our client s businesses. Lead and support the implementation of the Engineering side of Digital Business Transformations with cloud, multi-cloud, security, observability, and DevOps as technology enablers. Responsible for Building Immutable Infrastructure & maintain highly scalable, secure, and reliable cloud infrastructure, which is optimized for performance cost, and compliant with security standards to prevent security breaches Enable our customers to accelerate their software development lifecycle and reduce the time to market for their products or services. Qualifications Your Skills & Experience: 6 to 9 years of experience in Cloud & DevOps with Full-time Bachelor s /Master s degree (Science or Engineering preferred) Expertise in below DevOps & Cloud tools: Expertise in at least one Cloud Must Have GCP (Compute, IAM, VPC, Storage, Serverless, Database, Kubernetes, Pub-Sub, Operations Suit) Azure (Virtual Machines, Azure Active Directory, Virtual Network, Blob Storage, Functions, Database, Azure Service Bus, Azure Monitor) AWS (EC2, IAM, VPC, S3, Lambda, RDS, SNS, Cloud Watch) Configuration and monitoring DNS, APP Servers, Load Balancer, and Firewall for high-volume traffic Extensive experience in designing, implementing, and maintaining infrastructure as code using preferably Terraform or Cloud Formation/ARM Templates/Deployment Manager/Pulumi Experience Managing Container Infrastructure (On-Prem & Managed e.g., AWS ECS, EKS, or GKE) Design, implement, and Upgrade container infrastructure e.g., K8S Cluster & Node Pools Create and maintain deployment manifest files for microservices using HELM Utilize service mesh Istio to create gateways, virtual services, traffic routing, and fault injection Troubleshoot and resolve container infrastructure & deployment issues Continues Integration & Continues Deployment Develop and maintain CI/CD pipelines for software delivery using Git and tools such as Jenkins, GitLab, CircleCI, Bamboo, and Travis CI Automate build, test, and deployment processes to ensure efficient release cycles and enforce software development best practices e.g., Quality Gates, Vulnerability Scans, etc. Automate Build & Deployment process using Groovy, GO, Python, Shell, PowerShell Implement DevSecOps practices and tools to integrate security into the software development and deployment lifecycle. Manage artifact repositories such as Nexus and JFrog Artifactory for version control and release management. Design, implement, and maintain observability, monitoring, logging, and alerting using the below tools Observability: Jaeger, Kiali, CloudTrail, Open Telemetry, Dynatrace Logging: Elastic Stack (Elasticsearch, Logstash, Kibana), Fluentd, Splunk Monitoring: Prometheus, Grafana, Datadog, New Relic Good to Have: Associate Level Public Cloud Certifications Terraform Associate Level Certification Additional Information Gender Neutral Policy 18 paid holidays throughout the year. Generous parental leave and new parent transition program Flexible work arrangements Employee Assistance Programs to help you in wellness and well being Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients _x0080__x0099_ businesses through designing the products and services their customers truly value Qualification : 6 to 9 years of experience in Cloud & DevOps with Full-time Bachelors /Masters degree (Science or Engineering preferred)

Introduction As a Power Performance Tools developer your responsibilities will include creating and maintaining tools and automation required for analyses to detect performance bottlenecks, managing performance aspects, and uncovering optimization opportunities for every major release of IBM Power (IBM Power systems) This role requires expertise in OS concepts, computer system architectural design and performance analysis . The areas of work will be to develop test automation framework on different versions of the latest family of IBM Power servers utilizing several versions of PHYP, Power Firmware, AIX / VIOS, and Linux releases. Your role and responsibilities As a tools developer you will design, build, test and deploy effective testing solutions which reduce the amount of manual effort in the Performance test execution and analysis. You are responsible for developing and maintaining automated tools for system performance analysis and optimization Support the test team by recommending tools and processes To automate other test activities, such as test management, reporting, test data generation and defect management. Work closely with team members to design and develop performance testing tools and platforms. Develop acceptable performance test reporting and process tools preferably open-source/home grown. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 8+ years of overall IT experience 5+ years of experience as a Tools Developer 5 years of experience in hardware system test automation domain 5+ years of experience in a software development role using Python,C, C++ Strong analytical and problem-solving skills, Ability to handle coding, testing, and debugging tasks; independently and as part of a team. Experience with other programming and scripting languages; i.e. Node.js, Perl, Linux Shell Experience developing in a Linux development environment Strong expertise in virtualization technologies, including hypervisors virtual machine management, and resource optimization. Good knowledge on Computer system architecture ,system HW , Operating System REST and JSON Good problem solving, strong analytical and logical reasoning skills Familiar with server performance management and capacity planning Familiar with performance diagnostic methods and techniques Knowledge of Agile and DevOps practices and methodologies including Continuous Integration. Preferred technical and professional experience Experience on Java,Ansible would be an added value. Knowledge of IBM PowerVM Virtualization Qualification : Required education => Bachelor's DegreePreferred education => Master's Degree

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.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

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

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Job Title: Software Developer Location: Bengaluru, India Company: IBM Consulting Introduction A career in IBM Consulting is built on long-term relationships and close collaboration with clients across the globe. As a part of our team, you will work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative companies in the world. Your ability to accelerate impact and drive meaningful change for clients is enabled by our strategic partner ecosystem and robust technology platforms across the IBM portfolio. In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we offer deep technical expertise to public and private sector clients worldwide. Our centers provide locally based skills and technical expertise, driving innovation and adoption of cutting-edge technology. Role and Responsibilities As a Software Developer, you will be a key part of the software development lifecycle, participating in design, code implementation, testing, and ongoing support. Your efforts will contribute to creating solutions that accelerate your clients' hybrid cloud and AI journeys. Your primary responsibilities include: Proficient Software Development with Microsoft Technologies: Demonstrate your expertise in Microsoft technologies, delivering high-quality code and ensuring efficient application performance. Collaborative Problem-Solving and Stakeholder Engagement: Work closely with stakeholders to understand product requirements, proactively addressing challenges with innovative software solutions. Agile Learning and Technology Integration: Stay updated with the latest Microsoft technologies, continuously learning and integrating new knowledge to improve development processes and product features. Required Education Bachelor s Degree in Computer Science or a related field. Preferred Education Master s Degree in Computer Science or a related field (preferred but not required). Required Technical and Professional Expertise Microsoft Power Platform Expertise: Drive Power Platform implementations through all project phases, including discovery, definition, build, testing, and deployment. Experience with Microsoft Power Platform: 3 to 4 years of experience designing Power Platform implementations using best practices and governance standards. Hands-on Experience with Power Platform Suite: Expertise in using the Microsoft Power Platform suite (Power Apps, Power BI, Power Pages, Power Automate, Virtual Agents, AI Builder in Power Apps), and extending/customizing Microsoft apps and services like Teams, Dynamics 365, Excel, and Word. Custom Business Apps Development: Experience designing and developing custom business apps such as Canvas Apps, SharePoint Form Apps, Model Driven Apps, and Power Pages. Microsoft Dataverse Expertise: Hands-on experience working with Microsoft Dataverse to manage and store data for apps built on the Power Platform. Preferred Technical and Professional Experience Advanced Microsoft Power Platform Suite Experience: Extensive experience with the full Microsoft Power Platform suite (Power Apps, Power BI, Power Automate, Virtual Agents, AI Builder) to design, develop, and deploy solutions. Custom App Development Expertise: Additional experience in designing and developing custom apps for business processes, extending Microsoft services and integrating new business functionalities. Data Integration and Management: Proficient in utilizing Microsoft Dataverse for data management and integration within business applications. About IBM Consulting IBM Consulting is a global leader in business and technology transformation, offering innovative services across strategy, experience, technology, and operations. With deep industry expertise, we partner with the most valuable companies in the world to help them evolve and drive growth. At IBM Consulting, we believe in the responsible use of technology to help people, partners, and the planet. Qualification : Masters Degree in Computer Science or a related field (preferred but not required).

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.

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.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.