Senior Software Engineer Server Security Salary India in Bengaluru

Senior SoC Design Engineer — India, Bengaluru. Apply via Workday.

... Address: Building 02 9 10 &11 th floor, Prestige Tech Pacific Park Kadubeesanahali Village Varthur Hobli Bangalore East Taluk Bengalaru 560103., Bengalaru 560103. Facility: INSTANT OFFICES STRIPE - FM B'LORE Qualification: Diploma Experience: 5 - 7 years Source: Sodexo India | Job Code: IJP567547

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! What you’ll do: Partner and consult with business stakeholders to identify and define requirements, design and build complex, performant business-critical solutions Configure and optimize core Service Cloud features, including Omni-Channel, Lightning Service Console, Case Management, Entitlements, Milestones, Salesforce Knowledge and Experience Cloud. Architect and build robust, highly scalable integrations between Salesforce and complex third-party enterprise systems (e.g., CTI/telephony systems, Jira & other external systems). Collaborate closely with our US-based team, ensuring a few hours of overlap with Pacific Standard Time (PST) to facilitate seamless communication and project coordination. Drive defining, estimating, and shaping technical approaches/solutions using best practices Customize the Salesforce platform using declarative and coded approaches including Lightning Pages, Flow Builder, APEX triggers and classes, and Lightning Components Develop and execute integration strategies to connect Salesforce with various systems, applications, and data sources, ensuring seamless data flow and business process automation Monitor, troubleshoot and resolve issues promptly, improve performance, and enhance the overall user experience Author and maintain documentation of implementations and integration configurations, protocols, and best practices, and provide training and support to end-users and stakeholders This role requires : Bachelor's Degree in Computer Scie

Senior Engineer IP Verification - AMS Verification — Bengaluru, India. Apply via Workday.

Senior Engineer - HBM Analog Design — Bengaluru, India. Apply via Workday.

Senior Engineer- DEG Layout — Bengaluru, India. Apply via Workday.

Senior Engineer - Analog Design — Bengaluru, India. Apply via Workday.

Senior Engineer - Analog Design — Bengaluru, India. Apply via Workday.

Senior Engineer - Analog Design — Bengaluru, India. Apply via Workday.

Senior Engineer - Analog Design — Bengaluru, India. Apply via Workday.

Senior Engineer- DEG Layout — Bengaluru, India. Apply via Workday.

Senior Engineer - Analog Design — Bengaluru, India. Apply via Workday.

Senior Technical Support Specialist — Bengaluru, IND. Apply via Workday.

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. 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