Ci Cd Pipeline Services Accelerate Software Delivery With Devops Automation in Bengaluru

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. About the Team The Professional Services R&D team is a new, dynamic group at the forefront of innovation within Okta. Our mission is to design and build reusable, scalable assets and tools that empower our delivery teams and partners. By making customer engagements more efficient, streamlined, and cost-effective, we directly contribute to our customers' success and accelerate their time-to-value with Okta. This is a unique opportunity to join a strategic team from the ground up and shape the future of Okta's professional services. Position Summary As the DevOps Engineer for the R&D team, you will build and own the infrastructure and automation that enables us to develop and release software with speed and confidence. You will be responsible for creating and managing our CI/CD pipelines, defining our infrastructure as code, and ensuring our deployed assets are scalable, secure, and observable. You will be a key enabler of the team's agility, implementing the tools and processes that allow us to innovate and iterate quickly while maintaining a high bar for quality and reliability. Responsibilities Design, build, and maintain the team's CI/CD pipelines to automate the build, test, and deployment of our software assets. Manage and provision cloud infrastructure using Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation). Implement and manage monitoring, logging, and alerting solutions to ensure the health and performance of

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. About Okta & the TDI Dev Prod Engineering Team : Technology, Data, and Insights (TDI) is on a mission to accelerate Okta's scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. The TDI DevProd Engineering team owns the foundational CI/CD platforms that power Okta’s business, spanning cloud infrastructure, delivery pipelines, and AI platform integration. We are a team of builders who design and operate at scale. Currently, we are in the middle of a strategic transformation: evolving our cloud practice from a self-service model into a managed, opinionated platform that the entire business can rely on for rapid, secure, and reliable software delivery The Opportunity : As a Senior Software Engineer for TDI DevProd Engineering, you will serve as the technical authority for how we design, build, and evolve the cloud infrastructure underpinning our AI platform and the broader workloads running across Okta. You will define the CI/CD architectural standards, GitOps patterns, and automation strategies that the DevProd team builds toward. In this role, you will be a key partner to AI, security, and productivity architects as we scale Okta's cloud capabilities to meet increasing business demand. This is a hands-on, high-impact builder role. We are looking for someone who has successfully shipped and scaled cloud in

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 Minimum experience of 4-6 Years required in AI ML Ops 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

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

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. About the Team The Professional Services R&D team is a new, dynamic group at the forefront of innovation within Okta. Our mission is to design and build reusable, scalable assets and tools that empower our delivery teams and partners. By making customer engagements more efficient, streamlined, and cost-effective, we directly contribute to our customers' success and accelerate their time-to-value with Okta. This is a unique opportunity to join a strategic team from the ground up and shape the future of Okta's professional services. Position Summary As a QA Automation Engineer, you will be a critical guardian of quality for the R&D team. You will be responsible for designing, building, and maintaining the automated testing frameworks that ensure our reusable assets are robust, reliable, and bug-free. You will embed a "quality-first" mindset within the team, working closely with developers to implement comprehensive test strategies and integrate them into our CI/CD pipeline. Your work will directly ensure that the tools we provide to our field teams and partners are trusted and effective. Responsibilities Design, develop, and maintain scalable and reliable automated test frameworks for UI, API, and performance testing. Write and execute automated test cases to ensure comprehensive test coverage for all developed assets. Integrate automated testing into the CI/CD pipeline to enable continuous delivery and rapid feedback. Work closely with developers and

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

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

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: Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms Refactor and enhance legacy integration logic to align with modern architecture standards Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs Participate in a shared production support rotation, resolving critical integration and data pipeline issues Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events You Have: BS in Computer Science, related field, or equivalent industry experience 5+ years of experience in backend software development or automation using Node.js, Python, VS code or similar Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred) Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc. Experience with managing infrastructure as code (Terraform, Cl

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. We are looking for a high-impact Senior Software Engineer in Test (Sr. SET) to join our QA Core Team. In this role, you will partner closely with Infrastructure, Release Engineering, and Development teams to drive high availability, build scalable test automation, and optimize CI/CD release pipelines. You will take ownership of release-based testing, system observability, and automation services to ensure that weekly software releases are delivered seamlessly and with high quality across mission-critical systems. Key ResponsibilitiesTest Automation & System Quality Design, implement, and maintain scalable test automation frameworks for both server- and client-side systems using Java, TestNG, JUnit, and Selenium. Develop and execute comprehensive end-to-end and system test plans to validate new software changes against existing customer deployment patterns. Set up and manage automated test configurations, lab environments, and containerized test setups using Docker. Perform release-based validation, ensuring full compatibility, high availability, and uptime across weekly deployment cycles. CI/CD Pipeline Maintenance & Optimization Troubleshoot, debug, and optimize CI/CD pipelines (Jenkins, GitHub Actions, CircleCI, Buildkite) to reduce test execution times and eliminate flaky builds. Manage and optimize Maven-based build structures, dependency management, and automated release workflows. Write operational automation scripts using Python, Bash, or Gro

Job Title Senior Software Technologist I - C++ Job Description Software Engineer II Your Role: • Design, develop, test, and maintain software components and applications using modern C++, C# in a Windows-based environment. • Participate in the full software development lifecycle including requirements analysis, design, implementation, testing, debugging, and maintenance. • Develop and maintain software applications using Visual Studio and associated C++, C# development tools. • Work with Windows operating system fundamentals including processes, services, registry, file system, User Account Control (UAC), and application configuration. • Create, enhance, and troubleshoot software modules while adhering to coding standards, design guidelines, and software development best practices. • Utilize GitHub for source control management including branching strategies, commits, pull requests, merges, rebasing, and code reviews. • Support and troubleshoot CI/CD pipeline issues using GitHub Actions and participate in continuous integration activities. • Manage software dependencies and package management using NuGet and Conan. • Configure and maintain build systems using CMake and Visual Studio project configurations. • Develop and execute unit tests using Google Test (GTest) to ensure software quality and reliability. • Perform debugging, root cause analysis, and defect resolution for software issues identified during development, testing, and field support activities. • Participate in peer code reviews and contribute to software quality, maintainability, and technical excellence. • Collaborate effectively with Software Verification, Product Management, DevOps, Architecture, and cross-functional teams to deliver high-quality software solutions. • Create and maintain

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. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux, and Android. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. Explore our culture and technical innovations on the Okta Engineering Blog . The Staff Software Engineer Opportunity We seek a dynamic and influential Staff Software Engineer to join our Device Authenticators engineering team. The ideal candidate will leverage their deep An

JOB TITLE Reference Data Engineer A Career with point72’s Cubist TEAM Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you’ll do Develop, test, and maintain software applications using .NET Full Stack technologies. Write clean, scalable, and efficient code in Python for various applications. Collaborate with cross-functional teams to define, design, and ship new features. Implement and manage CI/CD pipelines and other DevOps practices to ensure smooth deployment and operation of software solutions. Participate in code reviews and contribute to a culture of continuous improvement. Troubleshoot and resolve software defects and issues in a timely manner. Stay up to date with emerging technologies and industry trends to enhance skills and knowledge. What’s REQUIRED We are looking for a motivated and skilled Software Engineer with experience in .NET Full Stack development, Python, and DevOps. You should also have: Bachelor’s or master’s degree in computer science, engineering, statistics or a related field. 3+ years of experience in .NET Full Stack development and Python programming. Basic understanding and practical experience with DevOps tools and methodologies. Strong problem-solving skills and attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment. Eagerness to learn and adapt to new technologies and challenges. Commitment to the highest ethical standards. About point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its inves

JD : Full Stack with React ,HTML ,CSS 4+ working experience in ReactJs, Html 5, CSS, Responsive design on UI , and Springboot, REST APIs in backend. Experience with Java web application development, Microservices architecture and distributed cloud systems. Experience with REST APIs using Spring boot, Spring data, Spring cloud config, Spring AMQP connector or similar framework in microservices development. Hands on with SQL commands stored procedures. Hands on experience with CI/CD pipelines and setting up various code quality checks in the pipelines. Skills Required UI React JS HTML 5 ,CSS 3 JEST framework Material UI Responsive Design Backend Java/J2ee, Spring MVC, Spring Boot, Micro services Architecture & design Patterns, Docker containers SQL Basic Queries , Stored Procedures AWS EC2/ECS,Lambdas,S3, RDS, SQS

Here's a summary of the role: Do you love building scalable cloud platforms and solving complex engineering problems with modern technologies? As a Senior Software Engineer at Diligent, you'll design and deliver high-performing , serverless applications that power our global SaaS platform. You'll work extensively with TypeScript, Node.js, AWS, and event-driven microservices, owning services from design to deployment and production monitoring. This is an opportunity to influence technical decisions, mentor engineers, and explore how AI can transform software development and engineering productivity. If you're passionate about cloud-native architectures, distributed systems, and building software that scales to millions of users, we'd love to meet you. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design and build scalable backend services and event-driven microservices using TypeScript and AWS. Develop secure APIs and integrations that power reporting, analytics, and dashboard experiences. Build and maintain serverless solutions using AWS services such as Lambda, EventBridge , SQS, and DynamoDB. Drive engineering excellence through testing, observability, automation, and production readiness practices. Contribute to infrastructure-as-code and CI/CD pipelines using AWS CDK and modern DevOps practices. Mentor engineers, participate in architecture discussions, and champion the use of AI tools to improve development efficiency. These are the essentials you'll need to get an interview: 6-8 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend development patterns. Hands-on experience building cloud-native applications on AWS. Strong understanding of serverless architectures and event-driven microserv

You’ll shape the future of a business‑critical platform as the technical lead across both product engineering and cloud infrastructure. You’ll modernize a mature .NET application running on AWS today, while steering its evolution toward a cloud‑native, React/Node.js, AI‑enabled architecture. If you enjoy owning architecture end‑to‑end, from backend and frontend through CI/CD, DevOps, and AWS infrastructure, this role gives you real influence at Staff Engineer level and the opportunity to set engineering standards that others follow. You’ll spend your time leading complex .NET and React features, designing scalable AWS infrastructure with Infrastructure as Code, and building automation that makes releases fast, safe, and repeatable. You’ll work on performance, reliability, and modernization in equal measure—fixing what’s slowing the platform down today and designing what it will look like in the next generation. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture and development of enterprise .NET services and APIs that power a business‑critical platform. Design and operate AWS infrastructure (using AWS CDK in TypeScript) to support secure, scalable, multi‑environment deployments. Build and optimize CI/CD pipelines (AWS CodePipeline, CodeBuild, Windows build agents) to make shipping .NET and React changes fast and reliable. Drive modernization initiatives across the stack, including clean architecture, refactoring legacy components, and reducing technical debt. Design and tune PostgreSQL and MSSQL database solutions for performance, scalability, and reliability. Mentor engineers and influence engineering practices across teams, raising the bar on cloud, DevOps, and software design. These are the essentials you’ll need to get an interview Significant experience (typically 8+ years) delivering and operating scalable enterprise software, owning both application code and cloud infrastructure. Deep hands‑on expertise with C