Automation Engineering Apprentice in India

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. Smartsheet is hiring a Senior Machine Learning Operations Engineer to architect our machine learning production lifecycle. Your mission is to maintain and deploy ML models to a scalable, reliable, and secure production environment. You will design and maintain the infrastructure, automation, and monitoring systems that ensure our AI products are high-performing and cost-effective. You will report to our Director, Analytics Engineering & Data Governance and work from our Bangalore, India office. You Will: Model and Pipeline Automation Automate the deployment and retraining of ML models, from training through to production inference, by building and managing complete CI/CD/CT (Continuous Training) pipelines, adhering to MLOps best practices. Build, fine-tune, or use pre-trained LLMs, deep learning models or traditional machine learning models. Evaluate and recommend AI or ML solutions for the product using any combination of vendor solutions and/or custom-built models. Governance & Compliance Implement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards. Performance Monitoring Continuously monitor the health and performance of production machine learning models, proactively identifying and correcting model drift, staleness, and performance degradation. Incorporate user feedback for iterative improvements and manage necessary model retraining cycles. Cross-Functional Collaboration Act as the "glue" between Data Scientists (who build models

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Role: We are looking for a highly skilled AI Tool / Agent Testing Engineer to evaluate, validate, and ensure the reliability of AI agents, AI automation tools, and agentic workflows used across our analytics platform. This role blends test engineering, GenAI understanding, Python/PySpark proficiency, and agent development lifecycle knowledge. You will work closely with Data Science, AI Engineering, and Platform teams to ensure that AI agents behave predictably, safely, and in alignment with business and compliance requirements.

Pre-sales Manager, Inference and Agentic AI - Paytm Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Pre-Sales Manager | Paytm AI Key Responsibilities 🔹 Partner with Enterprise Sales teams to understand client requirements and map them to Paytm AI solutions. 🔹 Conduct discovery sessions, identify business challenges, and create solution recommendations. 🔹 Deliver customized product demos, solution walkthroughs, and Proof of Concepts (POCs) for enterprise clients. 🔹 Act as a technical advisor, addressing product, integration, architecture, and implementation-related queries. 🔹 Create solution documents, proposal inputs, RFP responses, technical FAQs, and sales enablement assets. 🔹 Collaborate with Product, Engineering, Onboarding, and Business teams to ensure seamless solution delivery. 🔹 Capture client feedback and provide insights to improve product capabilities and customer experience. 🔹 Support enterprise deal closures through strong solutioning, stakeholder management, and technical consulting. Ideal Candidate ✔ 3–6 years of experience in Pre-Sales, Solution Consulting, Solutions Engineering, Product Consulting, or Enterprise Technology roles. ✔ Strong understanding of APIs, integrations, SaaS platforms, enterprise applications, and solut

Marketing Director- Paytm (Inference and Agentic AI) Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview: Paytm is looking to hire a Marketing Director to own B2B marketing, demand generation, product marketing, and sales enablement for Paytm’s Inference and Agentic AI products. This is a managerial role that will lead a team of marketing managers and drive marketing across enterprise clients and mid market merchants. The role will be responsible for building market presence, qualified pipeline, product launches, agentic marketing initiatives, and sales enablement programs across Paytm AI products including Pi Commerce and future AI agents. The candidate will own positioning, messaging, GTM communication, lead generation, demand generation, account engagement, and customer marketing across digital, offline, and agentic channels. The role requires strong B2B SaaS marketing experience, product marketing judgment, demand generation depth, team leadership, and ability to convert AI product capabilities into clear business value. Key Responsibilities Own end-to-end marketing strategy for Paytm AI products across Enterprise and Mid-Market segments. Drive demand generation through digital campaigns, webinars, events, ABM, content, and partne

About us Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are seeking a Database STL (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms. Key Responsibilities 1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability. 2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience. 3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms. 4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads. 5. Own replication, clustering, and failover architectures ensuring business continuity. 6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance. 7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements. 8. Lea

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI. Role Overview Paytm is looking to hire Sales Operations Managers to drive financial and operational rigor across its AI Inference and Agentic AI business. This role sits at the core of sales operations, working closely with sales, business management, and central finance teams to ensure accurate billing, collections, and revenue recognition. The role involves owning the full order to cash lifecycle, strengthening revenue assurance, and managing procurement and vendor operations for the AI charter. The candidate will play a key role in building scalable, audit ready systems that improve financial control, reduce leakage, and enable efficient business growth. Key Responsibilities Order to Cash Operations Own end to end invoicing for enterprise AI deals from contract trigger to invoice generation, dispatch, and acknowledgement. Maintain a central invoicing tracker covering deal terms, billing milestones, invoice status, and collections. Coordinate with central finance and accounts receivable teams to ensure GST compliant, PO aligned, and accurately booked invoices. Drive collections follow ups with enterprise clients in partnership with business teams and escalate overdue receivables. Manage billing adjustments including credit notes, disputes, and corrections. Revenue Assurance and Financial Co

Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire an Enterprise GTM Lead to own the go to market charter for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead business managers and client onboarding managers, and will work closely with enterprise sales teams to drive pipeline, deal conversion, onboarding, and client success. The role sits at the center of Paytm’s enterprise AI charter and involves shaping GTM strategy, enabling sales teams, supporting client pitches, structuring commercials, and ensuring strong post sale execution. The candidate will be responsible for building a repeatable enterprise sales motion for Paytm AI agents, including Pi Commerce and future AI products. The role requires strong commercial judgment, enterprise stakeholder management, execution discipline, and ability to work across sales, product, technology, finance, and marketing teams. Key Responsibilities Enterprise GTM Strategy and Business Ownership Own the enterprise GTM strategy for Paytm AI agents across existing and new enterprise clients. Build and execute sales enablement, pipeline generation, deal conversion, onboarding, and account expansion plans. Work with leadership to define target segme

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

Location Details: Pune, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our Team Our team builds and operates the foundational infrastructure platforms that power GoDaddy's engineering organization. We own critical services including secrets management, software distribution, host security controls, and live patching for thousands of Linux systems running on OpenStack. This role sits at the intersection of Linux engineering, platform engineering, reliability engineering, and security. You will help define how core infrastructure services are designed, operated, automated, and scaled across the enterprise! What you'll get to do... Design, build, and operate highly available, scalable, and secure infrastructure platforms supporting large-scale Linux environments, with a focus on reliability, resiliency, and operational efficiency Lead the architecture, implementation, and operation of infrastructure services, including OpenStack, enterprise secrets management, package management, software promotion pipelines, and platform lifecycle management Develop and maintain automation solutions using infrastructure-as-code, Ansible, Python, Go, and self-service capabilities to improve efficiency and reduce operational overhead Build and improve observability and reliability practices through monitoring, logging, alerting, dashboards, managing incidents, analyzing underlying causes, disaster recovery, and service health reporting

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the Manager of GTM Systems (Quote to Revenue), you will lead our core engineering team in Bangalore to architect and scale Everpure’s enterprise billing and revenue engine. You will serve as the critical technical bridge between US business stakeholders and our local engineering squad, embedding cutting-edge AI tools directly into the development lifecycle to drive unprecedented speed and automation. This hands-on leadership role puts you at the center of Everpure’s growth, directly impacting our lead-to-cash velocity and financial compliance across global markets. WHAT YOU'LL DO Lead and Scale AI-Accelerated Engineering: Direct a team of 5–8 cross-functional developers and QA engineers, integrating modern AI tools (such as Claude, Boomi AI, and Salesforce Agentforce) into daily workflows to drastically reduce code generation time, streamline unit testing, and elevate team performance. Architect End-to-End Quote-to-Revenue Solutions: Own the technical execution across Salesforce CPQ, Boomi middleware, and Zuora billing to optimize complex product catalogs, pricing waterfalls, automated quote generation, and subscription accounting. Bridge Global Stakeholder Alignment: Partner closely with US-based Product, Finance, and RevOps leaders to translate complex revenue operations and financial compliance goals into clear, scalable system designs and technical user stories. Ensure Platform Governan

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a ServiceNow Business System Analyst at Everpure™, you will serve as the strategic bridge between cross-functional business partners and technical engineering teams to unlock the full potential of our enterprise platform . You will maximize organizational agility by aligning ServiceNow capabilities across ITSM, HR, and Field Services directly with key business outcomes . Partnering closely with developers, product owners, and enterprise leaders, you will drive operational efficiency, seamless automation, and platform modernization . If you thrive on transforming complex enterprise workflows into scalable, high-impact digital experiences, this role offers an exciting opportunity to shape our technology ecosystem . WHAT YOU'LL DO Drive Business Process Optimization & Alignment: Lead workshops with key stakeholders across IT, HR, and Operations to map current-state workflows, eliminate operational bottlenecks, and design scalable future-state processes that enhance service efficiency and align with enterprise governance standards . Manage Agile Backlog & Deliver Strategic Value: Transform complex business requirements into prioritized epics, clear user stories, and acceptance criteria within Agile delivery frameworks, ensuring technical features directly support measurable organizational goals . Ensure Delivery Excellence & Solution Quality: Partner with platform architects and engineering teams to rev

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a hands-on senior leader for our India SecOps team, you will shape and safeguard Everpure’s security posture at the intersection of detection engineering, threat hunting, attack surface management, and incident response. Positioned as a strategic cornerstone in Bangalore, you will empower an elite engineering team, optimize critical SecOps pipelines, and partner cross-functionally across global engineering and infrastructure groups. By driving execution excellence and high team morale, you ensure our enterprise platform and global telemetry remain resilient against evolving threats. WHAT YOU'LL DO Scale & Lead SecOps Operations: Architect, mentor, and grow the India SecOps team to foster an environment of high morale, technical excellence, and rapid execution across detection engineering and incident response. Proactively Manage & Remediate Attack Surface: Own end-to-end Attack Surface Management (ASM) across cloud environments, SaaS applications, endpoints, and secrets management to measurably minimize enterprise exposure and mitigate risk. Optimize Telemetry & Incident Response: Mature SIEM and SOAR automation pipelines to drastically reduce mean time to detect, contain, and respond (MTTD/MTTC/MTTR) while continuously elevating alert fidelity and signal confidence. Drive Cross-Functional Alignment & RCA Postmortems: Lead continuous validation through purple-teaming and incident postmortems alo

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Own the Identity and Access Management product roadmap and deliver enterprise-grade authentication features that secure every connection between Appian and the enterprise. ABOUT THE TEAM The IAM Product team is on a mission to secure every identity, authentication flow, and access point that connects Appian to the enterprise. This team operates with high autonomy and directly influences how global enterprises trust and deploy AI-Powered Process Automation at scale. Your work will define how millions of users authenticate securely across mission-critical workflows. THE OPPORTUNITY As enterprises accelerate digital transformation, identity security has become the frontline of platform trust. This role exists because Appian is scaling its authentication and authorization capabilities to meet zero trust demands from the world's most security-conscious organizations. You will shape how the platform handles federated identity, modern protocols, and seamless user experiences in highly regulated environments. WHAT YOU'LL DO Lead the end-to-end IAM product roadmap, defining priorities that balance enterprise security requirements with developer and end-user experience Partner with Engineering to evaluate, design, and enhance authentication and authorization capabilities including native authentication and support for SAML, OIDC, OAuth 2.0, SCIM, and federated identity frameworks Execute discovery and requirements gathering with enterprise customers to understand identity provider integrations, compliance needs, and zero trust adoption patterns

SDLC Engineer A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What You’ll Do Provide expert technical support for our enterprise Software Development Life Cycle (SDLC) platforms including Jenkins, GitHub, Bitbucket, and AWS-based CI/CD pipelines Support and optimize our artifact management solutions (Artifactory) and static code analysis tools (SonarQube) Partner directly with business teams and development clients to address SDLC platform challenges and deliver effective solutions Implement and maintain security controls across our development toolchain and infrastructure Develop automation solutions to eliminate toil and enhance developer productivity Troubleshoot complex build, deployment, and integration issues across our development environments Contribute to continuous improvement of our AWS-based development infrastructure Maintain documentation and knowledge base for supported platforms and tools What’s required 5+ years of experience in software engineering, DevOps, or SRE roles Strong technical expertise in AWS services and cloud-native architectures Experience with container technologies (Docker, ECS, EKS) and container orchestration Deep understanding of Git workflows, branching strategies, and version control best practices Strong hands-on programming/scripting skills (Python, Go, or similar), with ability to debug and build automation for CI/CD pipelines Experience with infrastructure as code (Terraform, CloudFormation) in AWS environments Hands-on experience with CICD solutio