Senior Manager Ii Engineering Observability Pipelines in India

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Identity is the foundation of trust on the internet, and at Okta, we are building a world where anyone can safely use any technology. We are looking for a driven, curious, and empathetic product-minded engineering leader to expand Okta’s market footprint by growing our global integration ecosystem. As the Director of Engineering for the Okta Integration Ecosystem in Bangalore, you will lead, scale, and inspire a talented organization of engineering managers and engineers dedicated to evolving Okta-built integrations across our entire product portfolio. This is a high-impact, high-visibility role. If you are passionate about customer security, obsessed with developer experience, and love engaging with a vibrant technology community, we want to hear from you. What You’ll Do Lead and Scale the Team: Mentor, inspire, and grow a world-class engineering organization in Bangalore, directly managing engineering managers and senior individual contributors while fostering a high-performance culture. Drive Integration Strategy: Own the technical roadmap and execution for Okta’s integrations across a massive gamut of applications—spanning traditional Enterprise systems, SaaS, On-prem infrastructure, Active Directory (AD), Azure, and next-generation AI agents. Advance Modern Infra & Governance: Drive the development, rollout, and governance of the official Okta MCP (Model Context Protocol) Server. Streamline and enable partner integrations through robust Terraform P

To manage customer credit control activities, ensure timely sales order releases, monitor customer credit exposure, support collection activities, and maintain compliance with company policies and audit requirements. Source: Adani Group | Job ID: 55032

To manage and administer employee benefits, payroll inputs, vendor coordination, and loan processes with accuracy, compliance, and timeliness, ensuring smooth compensation delivery and positive employee experience. Source: Adani Group | Job ID: 49252

This role is responsible to manage and enhance the plant's greenbelt and landscape areas through regular maintenance. Lead effective measures for managing in-house nursery operations, and maintaining horticulture equipment. Engage and develop the horticulture team, while coordinating with various departments to fulfil the plant's horticulture requirements. Source: Adani Group | Job ID: 57050

The Team Member - Estate Management manages operations and ensure upkeep of all Estates across locations. To support planning and execution of all events at Estates with an objective of delivering services of exceptional quality. Source: Adani Group | Job ID: 55396

The Team Member - Estate Management manages operations and ensure upkeep of all Estates across locations. To support planning and execution of all events at Estates with an objective of delivering services of exceptional quality. Source: Adani Group | Job ID: 55427

"The Supplier (QA Blade) manages the quality assurance of materials supplied for blade manufacturing, including fiberglass, resins, and adhesives. This role conducts supplier audits, monitors performance, and manages non-conformances to ensure material consistency and compliance with standards. The position maintains detailed documentation, collaborates with QA and production teams, and supports supplier development through training and continuous improvement initiatives, enhancing the overall quality of blade materials. Source: Adani Group | Job ID: 40283

This role is responsible to manage and enhance the plant's greenbelt and landscape areas through regular maintenance. Lead effective measures for managing in-house nursery operations, and maintaining horticulture equipment. Engage and develop the horticulture team, while coordinating with various departments to fulfil the plant's horticulture requirements. Source: Adani Group | Job ID: 42521

About the Job: LaunchDarkly is seeking a Senior International Accountant to manage and coordinate international accounting, reporting, and compliance activities for our subsidiaries’ operations in EMEA, Australia and India. The Senior International Accountant will partner closely with accounting, payroll, tax and external accounting firms to ensure timely and accurate monthly accounting, reporting and international statutory compliance. This role will also act as the local community leader in India for the CFO organization, driving team culture and engagement. Responsibilities: Coordinate with foreign entities' local accountants for timely monthly financial reporting and day-to-day operational activities Manage international month-end close across multiple jurisdictions including EMEA, Australia and India, including review of subsidiaries’ financial package, prepare intercompany journal entries and reconciliation, and prepare flux analyses Review international payment and obtain approvals for bank disbursements Manage international tax, audit and regulatory compliance calendars, ensure adherence to local and international accounting regulations, including various filings, reporting requirements, and statutory deadlines Implement intercompany and multi-book modules in accounting system and perform settlement of intercompany transactions Support international tax structure compliance, including transfer pricing documentation Support relationships with external auditors, tax advisors, and regulatory authorities, including coordination of audits and preparation of supporting requests and documentation Serves as local community leader for the CFO organization in India Qualifications: Bachelor's degree or higher in Accounting, Finance, or a related field required CPA or similar designation is a plus; Big 4 or professional services background strongly preferred 7+ years of progressive accounting experience with significant exposure to international operations and mul

Forward is transforming how the world’s most complex networks are managed and secured. Founded in 2013 by four Stanford Ph.D.s, we built the industry’s first network digital twin — a mathematically precise model of the production network that gives IT teams unmatched visibility, verification, and agility across every major cloud and vendor environment. Our customers include global leaders such as Goldman Sachs, PayPal, S&P Global, IBM, and Dell, as well as fast-growing enterprises and government agencies. According to IDC, Forward customers realize an average of $14.2 million in annual benefits through improved efficiency and security. Backed by world-class investors including Andreessen Horowitz, Goldman Sachs, MSD Partners, and Threshold Ventures, Forward offers a people-centric, innovative culture where brilliant minds are shaping the future of network reliability, security, and AI-ready operations. Forward is currently seeking experienced Java developers to work as part of our Network team. Responsibilities Help bring the best ideas from the software development world into the networking industry. Contribute to our code base, systems and software architecture as a member of our engineering team. Help create and optimize network device models for different device vendors and protocols. Help create infrastructure needed to configure, collect and test network devices. Work with peers who are experts in Networking, Distributed Systems, Big Data and Search. Requirements 5+ years of work experience in software development 3+ years of work experience with Java BS in Computer Science or related degree Solid software engineering experience with large code bases Basic understanding of networking and TCP/IP. Strong verbal and written communication skills. Nice to haves Working knowledge of how switches, routers, firewalls or load balancers work. Experience working with networking protocols such as BGP/OSPF/IS-IS, IPv4/IPv6, MPLS, VLAN, VXLAN, etc. This position is a re

The job purpose of a Shift Engineer - Diffusion in cell maintenance is to manage and optimize the diffusion process. This includes overseeing equipment operation, maintaining quality standards, minimizing downtime, and driving continuous improvement to ensure efficient production of high-quality solar cells. Source: Adani Group | Job ID: 42113

Senior Software Engineer (Backend) About Team Cloud Platform Engineering group designs, builds and manages platforms that allow Myntra’s tech product to be secured, reliable, deployed and run at scale. These horizontal platforms leverage cloud hosting platforms and ensure all Myntra’s hostings are agnostic to Cloud vendor. We also build a number of production automation like provisioning of infrastructure at scale and manage complex access management on servers. We have developed numerous in-house tools and platform for load/stress testing, zero trust, security and compliance, CI/CD, Observability at scale. And, we aggressively adopt from open sources and try to contribute back to the community. Tools and Platform Engineering This team builds and maintains centralized and high-scale platforms for Observability (centralized log collection, metric systems, monitoring systems), Security & Compliance (access management, secret management, database access, change management systems, Authentication and Authorization of services etc). The platforms developed by these teams are centralized tools used by all engineering teams for database access, and changes, infrastructure provisioning, on-call scheduling, onboarding new monitoring etc. The vault system and APIs, developed, deployed and managed by this team, is being used by all Myntra’s production services. This team consists of full-stack developers who are skilled in Python, Golang, ReactJs. Roles and Responsibilities Design, build and maintain central platform products to improve the security posture of Myntra Write maintainable, scalable, and efficient code. Design and architect technical solutions for the developer community at Myntra Work in a cross-functional team, collaborating with peers during the entire SDLC. Follow coding standards, code reviews, etc. Follow scrum sprint cycles and commitment to deadlines. Identify security gaps in or for software platforms and incorporate them into requirements

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

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. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

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. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with