Data Center Dcim Program Leader in Bengaluru

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Observability, Monitoring, and Integrations team sits within GitLab's Monetization section. As a Senior Backend Engineer on the Monetization Platform Integrations team, you'll design, build, and maintain the integrations that connect CustomersDot and Monetization services to GitLab's enterprise applications, including Salesforce and Workato. You'll own robust application programming interface (API) contracts, protect data integrity across systems, and build resilient cross-platform workflows that underpin how customers buy, provision, and renew GitLab. Because these integrations move financial and sub

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Backend Engineer - Platform Insights An overview of this role As a Senior Backend Engineer in Platform Insights, you'll build and evolve the core backend systems that power GitLab's data platform. In this role, you'll focus primarily on Go-based development for the Data Insights Platform and Siphon, with an emphasis on core system design, production readiness, and deployment across GitLab environments. You'll own high-throughput, multi-component backend systems and help shape architecture, reliability, deployment, and operational maturity across GitLab's SaaS, Dedicated, and Self-Managed environments. What you'll do Design

About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection & Monitoring, AiDASH delivers comprehensive visibility across the entire grid at the right frequency and budget, using the right data modality. More than 200 customers trust AiDASH to keep the lights on, spend where it counts, and defend every decision, Securing Tomorrow across every mile of the grid. Learn more at www.aidash.com. The PreventionFirst movement is growing, and so is the recognition behind it. In 2026, Forbes named AiDASH one of America's Best Startup Employers for the 4th consecutive year, and TIME included AiDASH among America's Top GreenTech Companies for the 3rd year in a row. Deloitte Technology Fast 500 ™ ranked AiDASH No. 12 in the San Francisco Bay Area, and No. 59 overall in their selection of the top 500 for 2024. Join us in Securing Tomorrow Together! The Role As a Geospatial Analyst at AiDASH, you will produce high-quality annotated datasets from diverse imagery sources — satellite, LiDAR, aerial, and ground-based panoramic images and videos. Your work will directly feed AI/ML pipelines and client deliverables that protect critical infrastructure. This role demands a sharp eye for detail, comfort working with visual and geospatial data at scale, and fluency with modern AI tools. You won’t just annotate images; you’ll build AI-accelerated workflows that make the entire team faster. How You’ll Make an Impact Annotate and label imagery (satellite, LiDAR, aerial, drone, ground-based panoramic photos and videos) to identify, classify, and delineate features such as vegetation, assets, terrain, and infrastructure components Prepare,

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an AI Engineer, the selected candidate will build and ship AI-powered tools alongside a small, technically focused team. This is a hands-on engineering role: the candidate will write Python, work with LLMs and agent frameworks, integrate APIs, and help deploy systems that real business teams depend on. Guidance will

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to identify, understand, and tackle issues, analyze performance, and maximize their software and infrastructure. The Developer Platform organization is looking for a Software Engineering Manager to join our group in India. This organization develops and maintains the internal developer platform, security, compliance and audit reporting and all processes and controls that enable New Relic’s fleet of engineers to effectively release our products to customers. Developer Platform teams work across all engineering teams to implement critical projects to support our business. Our Engineering Managers are a select group of technology leaders and mentors who shape the solutions we bring to the market and foster an inclusive environment that brings out the best in people. If you have a strong technical background but you are also a person with great mentoring skills and that knows how to collaborate with multiple teams to ship great software, we would like to hear from you. What you’ll do Treat the internal developer platform as a product. Define roadmaps, manage backlogs, and prioritize features based on internal engineer needs and business objectives. Drive and contribute to our culture of operational and business efficiency:

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. The Infrastructure product organization develops New Relic infrastructure instrumentation agents, next generation data processing and management services, vulnerability management, and security testing capabilities for on-prem and cloud customers. We work with data at a scale using a diverse tech stack (Go, Java, JavaScript, React GraphQL, Kubernetes, many public cloud web services, and more). As a senior backend engineer, you will help us build and extend next generation solutions such as a control plane for customers to manage their data pipelines at scale. New Relic is looking for engineers who are interested in building a brand-new observability experience. This high-impact engineering position is a phenomenal opportunity to own and build a set of next generation services and capabilities for the company. We are searching for a motivated engineer who is ready for a career-defining role in their next opportunity. We look forward to talking with you! What you'll do ● Design, Build, maintain, and scale back-end services and their support tools. ● Participate in architectural definitions with a high degr

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

About the Role At Atomicwork, the People Partner role goes beyond partnering- it’s about building, operating, and scaling people programs with intent. This role is ideal for someone who enjoys being close to the business, working with senior leaders, and owning the entire employee lifecycle -from onboarding to exit-while also bringing structure, automation, and data-driven decision-making. You’ll work across multiple teams and geographies , including close collaboration with US-based stakeholders, and help shape a strong, values-led culture as the company scales. What You’ll Do Business Partnership & Stakeholder Management Partner closely with senior leaders across functions and locations Act as a trusted advisor on people matters, balancing business needs with empathy Enable leaders to make better people decisions through data and insights People Operations & Automation Own end-to-end employee lifecycle processes: onboarding, engagement, performance, transitions, and exits Build scalable, automated people processes suitable for a growing startup Ensure operational excellence while continuously improving systems and workflows Programs, Policies & Culture Design and implement HR programs aligned with Atomicwork’s cultural values Create and standardize policies that work across regions, while respecting local nuances Enable and strengthen culture through meaningful engagement initiatives, not surface-level activities Data, Problem Solving & Decision Making Take a data-driven approach to identify trends, diagnose problems, and recommend solutions Handle complex people situations with maturity, empathy, and sound judgment Bring structure to ambiguity and act decisively when required What We’re Lo

Job Description Are you passionate about data analytics and helping large enterprises to leverage data to drive business success? If so, Sigmoid is seeking a dynamic and results-driven Sales Consultant to join our team. As a Presales consultant, you will play a pivotal role in engaging with prospective clients, understanding their unique challenges, and showcasing how our data analytics services can address their specific needs. Key Responsibilities Client Engagement: Build and maintain strong relationships with prospective clients by understanding their business objectives and challenges. Needs Analysis: Collaborate with clients to identify their data analytics needs and requirements and translate them into tailored solutions. Solution Presentation: Develop and deliver compelling presentations and demonstrations that showcase the value of our data analytics services in addressing client pain points. Technical Expertise: Leverage your deep understanding of data analytics technologies and methodologies to provide expert guidance to clients. Collaboration: Work closely with our Sales and Technical teams to ensure seamless transition from pre-sales to implementation. Customization: Identify opportunities for customization and optimization of ourservices to meet the unique requirements of the clients. Competitive Analysis: Stay up to date with industry trends and competitors' offerings to effectively position our services. Proposal Creation: Prepare detailed proposals, including scope, pricing, and timelines, in alignment with client needs. Knowledge Sharing: Keep the team informed about industry’s best practices, client feedback, and emerging trends. Qualifications Bachelor's degree in a related field (e.g., Business, Data Science, Computer Science) and MBA with Overall, 5-7 years of experience. Proven experience in a consulting role, preferably in data analytics. Strong understanding of data analytics technologies, tools, and methodologies. Strong exposure to Data Eng

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning Data Science, Data Engineering, and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. You Will: Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Perform other duties as assigned You Have: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of experience in data engineering or a similar role. Enterprise SaaS software solutions with high availability and scalability Solution handling large scale structured and unstructured data from varied data sources Experience in building and maintaining data platform systems such as distributed compute,

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! As a Solutions Architect , you will be the trusted advisor helping our customers unlock the ultimate value of Couchbase. You will work directly with customer engineering teams, blending high-level architectural coaching with hands-on professional service delivery. If you love solving complex, real-world data challenges, designing cutting-edge AI-ready architectures, and guiding enterprise customers from design to production, this role is for you. What You’ll Do (Responsibilities): Lead Customer Engagements: Guide short- to medium-term on-site and remote client engagements. You will lead architecture and use case reviews, sizing, performance tuning, and deployment topology planning to get Couchbase up, running, and optimized. Solve Complex Technical Challenges: Work hand-in-hand with customers t