Server Monitoring Jobs in Bengaluru

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.

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

Position: DevOps Engineering Manager Location: Bangalore Experience: 5 10 years Education: BE/BTech/MCA/MTech/MSc Role Overview: We re looking for an experienced DevOps Engineering Manager to lead our cloud infrastructure, automation, and DevOps initiatives. This is a hands-on leadership role focused on driving efficiency, security, and scalability across our IT operations and development pipelines. Key Responsibilities: Cloud & Infrastructure Management: Administer and manage Google Workspace, including user accounts, security policies, and compliance settings. Oversee and optimize AWS resources (EC2, IAM, S3, VPC), ensuring cost-effective and secure cloud operations. Configure and manage A10 vThunder for load balancing and network performance optimization. Serve as Active Directory Administrator, maintaining AD, DNS, and Group Policy Objects (GPOs). Deploy, maintain, and troubleshoot VMware environments to support virtual infrastructure. Security & Compliance: Manage domain and SSL certificates including installation, renewal, and issue resolution. Handle ADFS token certificate renewals to support uninterrupted authentication services. Enforce security best practices across cloud and on-prem environments. Automation & Scripting: Create and maintain automation scripts using Bash, PowerShell, or Python to streamline workflows. Reduce manual intervention and boost system efficiency through smart scripting and task automation. Monitoring & Troubleshooting: Proactively monitor system logs, performance metrics, and security alerts to prevent downtime. Investigate and resolve issues related to network, infrastructure, and cloud environments promptly. Required Skills & Experience: Proven experience with infrastructure automation tools such as Terraform or CloudFormation. Strong understanding of DevOps practices and implementing CI/CD pipelines for cloud deployments. Solid scripting skills in Bash, PowerShell, or Python. Expertise in managing both cloud-based and on-premise infrastructure. Strong troubleshooting capabilities and a proactive approach to system monitoring. Qualification : BE/BTech/MCA/MTech/MSc

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Technical Lead - DevOps Location: Bangalore Rural, Karnataka, India Department: Data Platform and DevOps Employment Type: Subexian Experience Required: 3 to 6 years Job Overview: We are seeking an experienced Kubernetes Administrator with a strong background in managing containerized environments. The ideal candidate will have 4+ years of hands-on experience in deploying, configuring, and optimizing Kubernetes clusters to drive scalability, reliability, and performance. This is an excellent opportunity to leverage your expertise in Kubernetes orchestration while contributing to the overall success of our platform. Key Responsibilities: Cluster Management: Deploy, configure, and manage Kubernetes clusters both on-premises and across cloud platforms such as AWS, Azure, and GCP. Security & Compliance: Implement best practices for cluster security, including role-based access control (RBAC), network policies, and data encryption at rest and in transit. Automation: Automate cluster provisioning and ongoing management using tools like Terraform, Ansible, or Helm charts, streamlining operations and reducing manual tasks by 40%. Monitoring & Performance: Continuously monitor cluster health and performance metrics using tools like Prometheus, Grafana, ensuring high availability and optimal performance. CI/CD Pipelines: Design and implement CI/CD pipelines for containerized applications using tools such as Jenkins, GitLab CI/CD, and CircleCI to enable smooth continuous delivery. Collaboration: Work closely with development teams to troubleshoot issues, optimize application performance, and ensure compatibility with Kubernetes environments. Security Audits: Conduct regular security audits to identify vulnerabilities and ensure compliance with industry standards. Documentation: Maintain clear and comprehensive documentation for deployment procedures, configuration settings, and troubleshooting guides to enhance knowledge sharing within the team. Infrastructure Management: Administer and maintain Linux/Unix servers and virtualization platforms such as VMware or KVM, ensuring seamless operations across the infrastructure. Backup & Recovery: Implement and manage robust backup and disaster recovery solutions to ensure data integrity and minimize system downtime. Technical Support: Provide expert-level technical support for server and network infrastructure-related issues. Required Skills & Qualifications: Proven experience in Kubernetes deployment, configuration, and administration. Strong command of containerization technologies, including Docker and containerd. Hands-on experience with cloud platforms such as AWS, Azure, and GCP. Proficiency in Infrastructure as Code (IAC) tools like Terraform and Ansible. Familiarity with CI/CD pipelines and automation tools like Jenkins and GitLab CI/CD. Excellent troubleshooting and problem-solving skills. Strong communication and collaboration abilities, with the capability to work effectively across cross-functional teams. If you re passionate about DevOps, Kubernetes, and driving the success of containerized environments, we d love to hear from you!

Senior Associate Infrastructure L1 (AWS) Location: Bengaluru, India Department: Infrastructure & Cloud Engineering Employment Type: Full-Time About the Role As a Senior Associate Infrastructure L1 (AWS), you will design, implement, and manage secure, scalable, and highly available cloud infrastructure for enterprise digital transformation initiatives. You ll collaborate with cross-functional teams to automate deployments, enable DevOps best practices, and ensure robust observability across systems. Your goal is to reduce time-to-market and optimize performance, cost, and compliance. Key Responsibilities Architect and build immutable infrastructure on AWS and/or other cloud platforms. Implement and maintain infrastructure as code using Terraform, CloudFormation, or similar. Manage containerized environments using Kubernetes (EKS/GKE), ECS, Docker, and Helm. Implement service mesh (e.g., Istio) for advanced traffic management, monitoring, and security. Develop and manage CI/CD pipelines using Jenkins, GitLab, CircleCI, or similar. Automate build/deployment processes using Groovy, Go, Python, Shell, or PowerShell. Integrate DevSecOps and security scanning into the software delivery lifecycle. Configure and maintain monitoring, logging, and observability using: Monitoring: Prometheus, Grafana, Datadog, New Relic Logging: ELK Stack, Fluentd, Splunk Observability: OpenTelemetry, Jaeger, Kiali, CloudTrail, Dynatrace Troubleshoot infrastructure, performance, and deployment issues. Collaborate with application teams and stakeholders to ensure high performance and availability of deployed services. Required Skills & Qualifications 4 to 12 years of experience in Cloud Infrastructure & DevOps roles. Bachelor's or Master s degree in Engineering, Computer Science, or related field. Hands-on experience with AWS (EC2, VPC, IAM, Lambda, RDS, CloudWatch, etc.) Solid experience in container orchestration using Kubernetes (EKS/GKE) and infrastructure management. Expert in IaC tools like Terraform (preferred), ARM templates, Pulumi, etc. Proficiency in CI/CD pipeline automation and scripting. Familiarity with cloud-native security practices and vulnerability scanning tools. Experience with DNS, Load Balancers, and high-volume application infrastructure setup. Hands-on experience with artifact repositories like Nexus or Artifactory. Preferred Certifications (Nice to Have) Associate-level certifications in AWS, Azure, or GCP HashiCorp Certified Terraform Associate Benefits Gender-neutral workplace policies 18 paid holidays per year Generous parental leave and new parent transition support Flexible work arrangements Comprehensive Employee Assistance Program (mental & physical wellness) About Publicis Sapient Publicis Sapient is a global digital transformation partner helping established organizations evolve into their future state through technology, data, consulting, and customer-first experiences. With over 20,000 employees across 53 offices, we combine deep domain knowledge with a start-up mindset and agile methods to solve complex business challenges.

DevOps Engineer Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet is a deep-tech leader in Business Journey Observability, leveraging Big Data and Machine Learning to deliver end-to-end digital experience monitoring for major financial institutions. The platform monitors over 28 billion transactions monthly, powering top banks and enterprises in India and MEA. Work on cutting-edge observability technology Join a Series B funded, award-winning startup recognized by Gartner, Forbes, and NASSCOM Collaborate in a fast-paced, innovative environment focused on learning and growth Access to mental wellness support, health insurance (covering family), and career development programs Role Overview: DevOps Engineer Design, develop, and maintain VuSmartMaps deployments across on-premises, cloud, and hybrid environments Automate deployments using Infrastructure-as-Code (IaC) and CI/CD pipelines Manage cybersecurity assessments and remediations for deployments Collaborate with development teams to improve deployment processes and infrastructure support Publish VuSmartMaps in cloud marketplaces (AWS, Azure, GCP) Stay current on DevOps, CI/CD, infrastructure orchestration, cybersecurity, AI workflows, and big data technologies Key Responsibilities Develop and maintain IaC frameworks enabling flexible VuSmartMaps deployment Build and manage CI/CD pipelines using GitHub Actions, Jenkins Monitor infrastructure, conduct cybersecurity testing, and manage patching Improve deployment efficiency and customer experience Collaborate cross-functionally for seamless integration and rollout Must-Have Skills 3+ years building/managing CI/CD pipelines (GitHub Actions, Jenkins) Certified/experienced in Kubernetes, Docker, Terraform, Helm, YAML Hands-on experience with GitOps workflows Knowledge of web servers (Nginx, Django), identity providers (Active Directory, LDAP), load balancers (Traefik) Experience with databases (PostgreSQL, Elasticsearch, Hadoop stack) and secrets management (Key Vault) Familiarity with cloud services (AWS, Azure, GCP) across IaaS, PaaS, SaaS layers Strong Linux and scripting skills (Bash, Python) Excellent communication skills for cross-team collaboration Good-to-Have Skills Exposure to Red Hat OpenShift, VMware, Ansible, Chef, Puppet Familiarity with container orchestration tools (Podman, Docker Swarm, Nomad) Experience optimizing dockerized microservices and container images Benefits Comprehensive health insurance covering you and your family Mental health and 1:1 counseling support Learning culture focused on innovation and career growth Inclusive, transparent workplace culture Access to new Gen AI tools and integrated tech workspace Career development and skill enhancement programs

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

SQL Developer Team Lead (8 12 Years) | Bangalore (Work from Office) Location: Bangalore (Onsite) Experience: 8 to 12 Years Employment Type: Full-time About the Role We are looking for a SQL Developer Team Lead to join our fast-growing engineering team in Bangalore. In this leadership position, you will be responsible for managing a team of SQL developers, designing scalable data architectures, and optimizing high-performance queries and stored procedures. This is an exciting opportunity to work on large-scale enterprise applications that power the real estate and construction industry through our flagship platform, In4Suite . Key Responsibilities Lead, mentor, and manage a team of SQL developers, driving technical excellence and collaboration. Develop and optimize complex T-SQL stored procedures, triggers, functions, and SSIS packages. Design reusable and scalable database schemas for multi-tenant architecture across customers. Perform performance tuning and query optimization for large datasets. Maintain and evolve the data dictionary and metadata documentation. Work on Microsoft SQL Server 2012 and above for server-side database development. Ensure adherence to coding standards and best practices for SQL development. Conduct regular code reviews, QA checks, and validation of data exports and reports. Collaborate with cross-functional teams in a Scrum/Agile environment. Troubleshoot and resolve complex SQL/database-related issues independently. Required Skills Strong hands-on experience with Microsoft SQL Server (2012 and above). Expert-level knowledge in T-SQL programming and SSIS (SQL Server Integration Services). Proven track record in data modeling, schema design, and multi-tenant architecture. Skilled in query optimization, performance tuning, and analyzing execution plans. Solid understanding of database best practices, indexing strategies, and stored procedure optimization. Experience managing a high-performing development team in a product-based environment. Preferred Skills Familiarity with .NET code and jQuery is a plus. Experience with SSRS (SQL Server Reporting Services) for report generation. Exposure to Database Administration (DBA) tasks such as backups, indexing, and monitoring. Working knowledge of Agile project tracking tools and collaboration platforms. Educational Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. 8 to 12 years of relevant industry experience in SQL development and database leadership roles. Soft Skills & Team Culture Fit Strong leadership qualities with a team-first mindset. Excellent written and verbal communication skills. Highly analytical with a proactive problem-solving attitude. Eager to mentor and support junior team members. Committed to continuous learning and knowledge-sharing. Benefits of Working with In4Velocity Flexible working hours Continuous learning & professional development opportunities Medical and insurance coverage Work with a fast-growing enterprise software company Collaborative and inclusive team culture About In4Velocity Founded in 2004, In4Velocity is a market leader in providing technology solutions for the real estate, construction, and infrastructure sectors. Our flagship product, In4Suite , is an end-to-end ERP platform that helps real estate developers streamline operations and make data-driven decisions through a single, unified system. Trusted by clients globally, In4Suite eliminates the need for multiple disjointed tools by combining project management, sales, finance, procurement, and CRM into one powerful ecosystem. With unmatched support, intuitive design, and deep business intelligence capabilities, In4Suite is the platform of choice for digitally transforming real estate businesses. Apply now and become part of a pioneering technology company redefining real estate management. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

Job Title: Software Engineer, Backend (AI Team) Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is building the future of conversational commerce enabling brands to deliver human-level interactions at scale via WhatsApp and other messaging platforms. As a proud graduate of Y Combinator s Winter 2021 batch, we serve 300+ top-tier brands like HUL, ITC, Wow Skin Science, Piramal Health, and Snitch. Our mission is simple: use Generative AI to automate and personalize customer interactions in e-commerce and now expanding into BFSI, Health, and Retail sectors. If you're a backend engineer who thrives on impact, collaboration, and building innovative systems at scale, this is your opportunity to do work that truly matters. What You ll Do Architect and Develop Backend Systems: Design robust, scalable backend architectures for AI products that handle millions of conversations. Integrations and APIs: Build and maintain seamless, secure integrations with third-party platforms and internal services. Work with AI Products: Collaborate with ML engineers and product teams to connect AI models and agents to real-time customer journeys. Database Management: Design and optimize relational and NoSQL databases (e.g., PostgreSQL, MongoDB). Performance & Reliability: Identify bottlenecks and implement backend improvements to ensure high performance and reliability. Collaborate Cross-Functionally: Work closely with product, design, and frontend teams to ship features that delight users. Write Clean, Maintainable Code: Follow best practices in code quality, documentation, and testing. Participate in peer code reviews. You Should Have Must-Haves 2 4 years of backend experience in a high-growth tech/startup environment Proficiency in Python, Node.js, and frameworks like Django Strong command of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) Solid understanding of RESTful API design and best practices Experience with Git, code reviews, and agile development workflows Excellent debugging and code analysis skills, including performance optimization Nice-to-Haves Hands-on experience with Docker, Kubernetes, or other container orchestration tools Familiarity with CI/CD pipelines (GitLab CI, Jenkins, etc.) Experience with API load testing, monitoring, and observability tools Exposure to AI/ML pipelines and/or conversational AI systems Why You ll Love Working Here Massive Impact: Join a lean, fast-moving team where your work directly influences product and user experience. Innovation-First Culture: Work at the intersection of AI, automation, and customer experience. Smart Team: Collaborate with ex-founders, IITians, and top engineers. Fast-Growth Startup: Backed by leading VCs and part of Y Combinator, we re scaling globally. Ownership and Autonomy: You ll be trusted to take full ownership and drive initiatives end to end. Quotes We Live By It s okay to fail. It s not okay to not try. Do the right thing when others are not looking. Apply now and be part of the LimeChat revolution.

Partner Engineer, Google Cloud Google - Bengaluru, Karnataka, India Join Google in Bengaluru, Karnataka, India and become a key enabler of the Google Cloud partner ecosystem! We're looking for a seasoned Partner Engineer to work closely with our partner development managers, fostering growth and providing crucial technical support to our partners. Your expertise will be vital in understanding our partners' technical capabilities and recommending the ideal partners and solutions to our valued customers. In this role, you will guide partners in leveraging Google Cloud services to accelerate their time-to-market, differentiate themselves from competitors, and unlock new avenues for business growth. You will be instrumental in ensuring our partners' success during the critical migration and deployment phases, equipping them with full access to Google Cloud's essential artifacts, tools, templates, and best practices. You will also play a key role in educating prospective partners on Google Cloud's features, assisting them in building innovative solutions, and collaborating with our product marketing and engineering teams to drive continuous improvements to our Google Cloud offerings. Google Cloud is committed to empowering organizations worldwide to digitally transform their businesses. We deliver enterprise-grade solutions powered by Google s cutting-edge technology and provide developers with sustainable building tools. As a trusted partner for customers across more than 200 countries and territories, we enable growth and solve their most complex business challenges. Responsibilities: Empower System Integrator (SI) partners and Independent Software Vendors (ISV) technical teams by enhancing their skills, capabilities, and capacity through effective prototyping and compelling product integration demonstrations. Guide customers through thorough assessments of their existing legacy application environments. Collaborate closely with partner managers to strategically identify and recruit high-potential partners within the market and diligently monitor their delivery capabilities. Drive the successful onboarding of ISV partners to the Google Cloud Marketplace and empower SI partners to achieve successful pilot projects, impactful proof-of-concept deployments, and seamless transitions to production workloads. Develop comprehensive partner technical development plans aligned with annual planning cycles and actively promote technical wins for SI partners, ensuring strong alignment with customer opportunities. Partner with ISV/SI partners to create valuable solution documentation, engaging joint technical articles, informative webinars, and other collaborative content. Build solution-focused technical assets designed to benefit both internal and external partners. Provide expert recommendations on integration strategies, robust enterprise architectures, scalable platforms, and essential application infrastructure required for the successful implementation of comprehensive solutions on Google Cloud. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in cloud architecture, working with a system integrator as an architect or in a delivery role, providing solutions directly to end customers. Proven experience with data migration strategies and the successful movement of production systems in on-premise/data center environments or in various migration to cloud scenarios. Hands-on experience in designing and building architectures and with the seamless migration of workloads to cloud environments. Solid experience with diverse database technologies (e.g., Oracle, SQL Server, PostgreSQL, MySQL, etc.). Preferred Qualifications: Demonstrated experience in building strong and productive business partnerships. Significant experience in cloud migrations and application modernization, effectively translating customer business needs into innovative cloud-centric solutions. Practical experience working with data and Artificial Intelligence/Machine Learning (AI/ML) workloads. In-depth knowledge of application data management architectures, including storage subsystems, high availability strategies, backup and recovery procedures, disaster recovery planning, performance optimization, scalability considerations, robust security measures, effective monitoring practices, and comprehensive database management. Exceptional ability to conduct engaging and informative technical discussions and engagements. Excellent communication skills, both written and verbal. Qualification : Bachelor's degree or equivalent practical experience.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

Job Title: Customer Success Manager Location: Chennai Experience: 5+ Years About Linarc: Linarc is a collaborative project management platform designed for construction teams. Focused on quality, cost, and schedule management, Linarc streamlines workflows across multiple stakeholders throughout various phases of construction projects. Headquartered in Chennai, India, Linarc offers a dynamic and innovative environment where employees can thrive and excel. Job Description: We are seeking a proactive and experienced Customer Success Manager to join our growing team. As a key member of our Customer Success team, you will be responsible for building strong relationships with our clients, ensuring their satisfaction, driving product adoption, and contributing to the overall growth and success of Linarc. In this role, you will work closely with customers to understand their business needs, help them optimize their experience with our platform, and provide support across their lifecycle. You ll be the bridge between our customers and the product team, ensuring that clients have the best experience possible and that their feedback drives continuous improvement. Key Responsibilities: Customer Relationship Management: Serve as the primary point of contact for assigned customers, guiding them throughout their lifecycle with our product, ensuring their satisfaction and success. Onboarding & Implementation: Onboard new customers, ensuring a smooth and successful implementation process, providing hands-on support during the transition. Product Adoption & Engagement: Drive product adoption by providing training, best practices, and regular product updates to help customers realize maximum value from the platform. Customer Advocacy: Act as the voice of the customer, offering insights and feedback to the product and development teams for continuous improvement. Issue Resolution & Escalations: Manage escalations effectively, ensuring timely resolution of customer issues and challenges. Customer Health Monitoring: Monitor key customer health metrics and develop strategies to enhance retention and reduce churn. Revenue Growth: Identify upsell and cross-sell opportunities and collaborate with the sales team to drive revenue growth and expand customer relationships. Reporting: Prepare and deliver regular performance and usage reports, keeping customers informed and engaged with the product. Requirements: Experience: 5+ years of experience in customer success, account management, or a related role, preferably in a SaaS or product-driven company. Track Record: Proven success in managing and growing customer relationships and ensuring customer satisfaction. Skills: Strong understanding of customer success metrics and strategies, with a focus on product adoption, retention, and customer satisfaction. Communication: Excellent communication, presentation, and interpersonal skills. Ability to explain technical concepts to non-technical stakeholders. Problem-Solving: A problem-solving mindset with the ability to handle customer escalations and challenges effectively. Tools: Experience with CRM and customer success platforms such as Salesforce, HubSpot, or Gainsight. Analytical & Project Management Skills: Strong analytical and project management skills to drive customer success initiatives. Education: Bachelor's degree in Business, Marketing, or a related field (preferred). What We Offer: Competitive Salary & Benefits A collaborative and growth-driven work environment Opportunity to work with a passionate and innovative team If you are a customer-centric professional with a track record of success in driving customer satisfaction and growth, we would love to hear from you! Qualification : Bachelor's degree in Business, Marketing, or a related field (preferred).

About the role - Manager - Customer Success The Manager - Customer Success plays a pivotal role in the business and carries a high level of responsibility. As well as overseeing all operational areas of the business, the role is central in supporting business growth. He/she interacts directly with customers, internal stakeholders and providers. Responsibilities Monitoring progress of the projects through customer meetings and providing MIS and regular updates on various projects to senior management & stakeholders. Maintain a deep understanding of our solutions and content and educate clients about the most relevant features/functionality for their specific business needs. Serve as the voice of the client and provide internal feedback to Product, Engineering and other teams on how we can better serve our clients. Experience in setting up NPS / CSAT Monitor clients usage throughout their lifecycle to not only identify and prioritize at-risk accounts but also ways to mitigate churn Manage and coach a team of customer success executives and operations executives. Travel to client locations if needed to understand their needs, train them about Intugine's solutions and build relationships with them. Design and set up processes and work on continuous improvement of the set processes. Collaborate with the technical team to set up or configure Intugine s software platform as per clients requirements and troubleshoot technical issues raised by them. Set and monitor KPIs to access projects. Implement systems and processes that deliver improvement toward 100% conformance to client requirements. Research and analyze Intugine's new products and design a process for their implementation. Requirements 2-5 years of experience in business operations/customer success. Minimum 1 year of B2B Saas operations experience preferred. Minimum 1 year of management experience preferred. MBA preferred from Tier 1/2/3 colleges. You must be able to see the big picture as well as the finer details, as your work is across the spectrum. You will deal in small daily matters, as well as larger aims and setting goals. A systematic organized approach to work is vital. Brilliant communication and interpersonal skills, for dealing with many types of people at all levels in a direct diplomatic way is essential. An understanding of customer/client requirements is a must. Soft skills, including effective time management, prioritizing and delegation, is a must. You must be able to lead, coach, inspire, support and motivate your team, and always seek to improve best practice. Knowledge in SCM is a plus. Having natural creative flair and being full of ideas and energy to introduce new concepts and innovations would also be advantageous. Desire to assume responsibility and work autonomously. Highly organized and able to juggle numerous tasks. Good written and spoken English (being a native speaker will be a plus). Qualification : MBA preferred from Tier 1/2/3 colleges.

Job Title: Associate Infrastructure Specialist - IBM Consulting Introduction: As part of the IBM Consulting Client Innovation Centers (Delivery Centers), you'll play a pivotal role in delivering technical and industry expertise to a diverse range of public and private sector clients around the world. These centers offer locally-based skills and expertise, driving innovation and the adoption of new technologies. In this role, you'll join IBM Consulting through our world-class Associate Program designed for university hires. As an Associate at IBM Consulting, you'll have the opportunity to collaborate with a wide variety of clients globally, solving complex business and technical problems. Our clients technical and business needs are ever-evolving, and we re hiring motivated, talented individuals who believe no challenge is too great to overcome. With industries like transportation, energy, insurance, banking, and healthcare rapidly adapting to new technologies, you ll be at the forefront of helping our customers navigate these changes. As an Infrastructure Specialist, you ll help clients choose the best solutions whether on-premises, off-premises, or hybrid ensuring their infrastructure keeps pace with modern demands. Your Role and Responsibilities: Problem Identification & Resolution: Identify business problems, understand customer issues, and provide solutions to resolve them effectively. Service Improvement: Evaluate recurring issues and develop permanent solutions to ensure smooth, ongoing operations. Troubleshooting & Design Fixes: Troubleshoot technical issues and design flaws, working to resolve them and enhance system functionality. Teamwork & Individual Contributions: Work both independently and as part of a team to ensure timely delivery of high-quality solutions. Required Technical and Professional Expertise: Education: BE/B.Tech in any stream, M.Sc. (Computer Science/IT), M.C.A. Experience: 3-5 years of hands-on experience in infrastructure management and cloud technologies. Azure Expertise: Proficiency with Azure IAAS, PAAS, and SAAS services, including:Virtual Machines (VM), Storage Accounts, Load Balancer, Application Gateway, VNET, Route Tables, Azure Bastion, Disaster Recovery, Backup, NSG, Azure Update Manager, Key Vault. Experience with Azure Web Apps, Function Apps, Logic Apps, Azure Kubernetes Service (AKS), Docker, Event Hub, Redis Cache, Service Mesh, Istio, App Insight, Databricks, Active Directory (AD), DNS, Log Analytics Workspace, ARO (Azure Red OpenShift). Orchestration & Containerization: Proficient in Docker, Kubernetes, and RedHat OpenShift. Security Management: Experience in Firewall Management, including FortiGate firewall configuration and management. Preferred Technical and Professional Expertise: Cloud Monitoring Tools: Experience with cloud-native monitoring tools such as CloudWatch, CloudTrail, Azure Monitor, Activity Log, vROps, and Log Insight. Server Management: Experience managing and monitoring servers (Windows, Linux, AIX, AWS Linux, Ubuntu Linux). Storage Management: Expertise in storage monitoring and management, including Blob storage, S3, EBS, backups, recovery, and snapshots. Innovation: Work at the cutting edge of technology, helping global businesses adopt and integrate innovative solutions. Global Impact: Your work will have a direct impact on how industries around the world are evolving and leveraging new technologies. Career Growth: Gain access to IBM s resources, professional development programs, and career advancement opportunities. Collaborative Culture: Join a dynamic and diverse team where collaboration, mentorship, and learning are at the forefront of everything we do. If you re ready to embark on an exciting career in infrastructure management, apply to join IBM Consulting and contribute to shaping the future of technology for industries worldwide! Qualification : BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A

Company Overview At Intuit, we re on a mission to power prosperity for people and communities around the globe. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers worldwide. Our goal is simple ensure everyone has the opportunity to thrive financially. We re constantly innovating, finding new ways to help people manage their finances better, and we need a passionate, skilled Full Stack Engineer to help us revolutionize the future of finance with AI-driven experiences. Job Title: Full Stack Engineer - AI Development At Intuit, our AI team is pushing the boundaries of what's possible in financial technology. We re building cutting-edge solutions that deliver personalized, proactive insights to millions of users. As a Full Stack Engineer on our team, you ll play a pivotal role in creating the infrastructure and applications that bring these AI innovations to life. This is a unique opportunity to work with the latest AI technologies while building impactful web applications for TurboTax, QuickBooks, and beyond. Responsibilities: Develop High-Performance Applications Design, develop, and deploy consumer-facing web applications that integrate seamlessly with our AI models and services. Ensure that applications are scalable, modular, and secure, delivering high-quality experiences to millions of users. Collaborate with Cross-Functional Teams Work closely with data scientists, machine learning engineers, and product managers to transform complex algorithms and data into intuitive, user-friendly interfaces. Contribute to the development of AI platforms and tools for model training, deployment, and monitoring. Backend System Design Build and maintain robust backend systems to support the AI-powered features across Intuit's portfolio. Take ownership of the end-to-end product lifecycle, including resolving defects/bugs and working on post-release patches. Champion Best Practices Promote best practices in software development, including thorough code reviews, unit testing, and documentation. Stay up-to-date with the latest trends in AI, web development, and cloud technologies. UI/UX & Prototypes Design and develop web, software, and mobile applications with a focus on accessibility, internationalization, and user experience. Contribute to the architecture and design of projects to ensure scalability and performance. Qualifications: Educational Background BS/MS in Computer Science or equivalent field. Technical Expertise 5+ years of experience in full-stack software development with a strong focus on JavaScript, HTML, CSS, and backend frameworks such as Node.js, Python/Django, or Java/Spring. Proficiency with modern web technologies and architectures such as React, Angular, Vue.js, and RESTful APIs. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL and NoSQL) and data pipelines. Programming & Frameworks Strong experience with Kotlin/Java and web technologies. 4+ years of experience with APIs (creating and consuming) using REST or GraphQL. Experience with UI frameworks like React, Angular, and JavaScript in a single-page architecture. Experience with unit testing and Test-Driven Development (TDD). Data Management & Systems Familiarity with Postgres, Data Lakes, Kafka, and schema modeling will be a plus. Solid foundation in writing scalable web applications that follow best practices in accessibility, internationalization, and instrumentation. Collaboration & Communication Strong communication skills with the ability to work effectively in a cross-functional team. Ability to contribute to both individual work and team-based projects in an Agile environment. Bonus Points: AI/ML Expertise Experience with machine learning frameworks like TensorFlow or PyTorch and AI/ML model deployment. Contributions to open-source projects related to AI or web development. Experience with data visualization tools and techniques to present AI insights effectively. Join Intuit and become part of a forward-thinking team that is shaping the future of financial technology. You ll have the opportunity to work on innovative AI-driven projects that have the potential to impact millions of people s financial lives. Here, your contributions matter, and you ll be empowered to build scalable, secure, and high-performance systems that drive true change. Qualification : BS/MS in computer science or equivalent

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills 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.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines 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.

Job Summary We are looking for a motivated Remote Delivery Engineer to join our 24x7 Storage operations team and service our Cloud and Managed Services Customers. You will provide support to our customers by responding to incidents, working on service requests, problem management, and storage infrastructure improvements. Experience in supporting a varied clientele is essential, as is a strong understanding of NetApp storage-based technologies. To be successful in this role, you would need to have the following: Experienced in NetApp Storage (deploying and administering NetApp Storage primarily ONTAP, troubleshooting performance issues, performing firmware and operating system upgrades, using Storage management and OnCommand tools, managing storage/backup integration with NetApp Data Fabric technologies). Proficient understanding of NetApp Storage concepts, related management tools, and related Storage technologies, including monitoring and troubleshooting, administration, replication technologies, security hardening, and performance tuning. Experience or knowledge in other NetApp technologies like CVO, StorageGRID, E-Series, CVS, Cloud Backup, Cloud Secure, Cloud Sync, Cloud Datasense & Amazon FSx for ONTAP would be highly regarded. Experience with any automation tools would be preferred. Job Requirements Strong understanding of Storage protocols and technologies (CIFS, NFS, iSCSI, Fibre Channel switching and networks). Knowledge in ITIL methodologies: change, incident, problem, and configuration management. Certification is desirable. Understanding of managed services delivery and cloud certifications is desirable. A thorough understanding of other components in the infrastructure stack compute, virtualization, and networks (NetApp/Cisco FlexPod architecture, Cisco UCS platform, IBM Blade Center, System X, VMWare vSphere, Microsoft Operating Systems and Applications, Commvault). Working knowledge of monitoring platforms, WANs, SANs, backup, and disaster recovery platforms. Windows server, Linux server, and related Operating Systems technologies, including monitoring and troubleshooting, administration, replication technologies, security hardening, and performance, would be advantageous. Experience in writing basic PowerShell/Python scripts would be beneficial. Understanding of managed services delivery and any of the cloud certifications (AWS, Google Cloud, and Microsoft Azure) is highly desirable. Good to have Associate-level cloud certifications like AWS Certified Solutions Architect Associate, Google Associate Cloud Engineer, Azure Administrator. Good to have NetApp Cloud-based Certifications like Hybrid Cloud Administrator (NCHCA). Strong customer communication and documentation skills. Built and maintained strong relationships with internal and external stakeholders. Infrastructure design, build, deployment, and disaster recovery testing. Positive, proactive, team-oriented attitude with a flexible and innovative approach to work. Working knowledge of containers and microservices concepts. Experience in tools and technologies like OpenShift, Kubernetes, and Ansible would be beneficial. Education Typically requires a minimum of 8-10 years of related experience with a bachelor s or any master s degree or equivalent combination of professional education/training and applicable work experience. Work Environment At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.