SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Senior Software Engineer – Java Solve challenging business problems and build highly scalable applications. Design, document and implement solutions in Java 8 and 17. Build and deploy services based on the AWS platform. Work with a high-performance team, working with continuous delivery and heavy test automation Product intro Zephyr provides test management capabilities to Atlassian products, working as a plugin/extension for Jira and Confluence, for managing both manual and automated testing processes. Using AI, users can transform thei
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Manual Automation Tester in Bengaluru
58 active opportunities · Updated October 2026
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Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. At our labor marketplace tech company, we believe that even in the age of AI, the core of success comes down to good people doing honest work. We're seeking a detail-oriented and automation-savvy Product Operations Analyst to help us optimize our operational processes and ensure data accuracy across our platforms. This is a fantastic opportunity to grow your career at the intersection of operations, data, and intelligent automation. Who You Are: Automation Enthusiast: You're passionate about eliminating manual work through automation. You've built workflows using tools like n8n, Zapier, or Make.com, and you're always looking for the next process to optimize. AI-Powered Problem Solver: You actively leverage AI tools like ChatGPT, Claude, or other LLMs to enhance your productivity, solve complex problems, and generate insights. You see AI as a powerful co-pilot in your daily work. Data-Driven & Analytical: You're comfortable diving into databases using SQL, analyzing trends in Excel or Google Sheets, and creating dashboards to visualize operational metrics. You use data to drive decisions and measure impact. Technical Tinkerer: You enjoy building solutions using no-code/low-code platforms like Replit, Retool, or similar tools. You're not afraid to write simple scripts or work with APIs to connect systems and automate workflows. Process Optimizer: You have a natural instinct for identifying inefficiencies and redesigning processes. You're organized, detail-oriented, and obsessed with creating scalable,
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. We're looking for a Marketing Automation Specialist to join our Marketing Operations team. In this role, you'll be the primary owner of driving communication from our Marketo instance - building, optimizing, and maintaining the automated and batch communications that power our marketing engine. You'll also work across a broader stack including Zoom Events, Salesloft, and Salesforce to ensure seamless campaign execution and reliable data flow across systems. This is a hands-on, high-volume production role for someone who is deeply fluent in Marketo and comfortable operating across a modern B2B marketing tech stack This role requires the flexibility to work a swing shift (9:00 am - 6:00 pm on three days and 1:00 pm - 10:00 pm twice a week) allowing for essential real-time overlap with our US office You Will: Marketing Campaign Operations (Marketo) Own the day-to-day administration and production within our Marketo instance, serving as the internal subject matter expert Design, build, and optimize automated nurture programs, batch email campaigns, smart campaigns, and segmentation logic Manage all campaign operations including email builds, landing pages, forms, tokens, and A/B testing Ensure database hygiene, deliverability best practices, and compliance with data privacy regulations (GDPR, CAN-SPAM) Maintain performance reports and dashboards in partnership with BI to track program effectiveness. Webinar Production + Management (Zoom Events) Support technical setup and execution of webinars and virtual events in Zoom Even
About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role We are looking for a Quality Architect/Lead with hands-on experience building quality systems and has deep expertise in building and scaling test automation frameworks.The role requires an individual who applies systems thinking to solving complex problems. They should be able to understand the product from various perspectives and be able to effectively create testing programs that validate not just functionality but performance, reliability and user experience.DevRev is building a next generation AI native product that requires us to build novel test systems for the Agent AI platform. The role is mult-faceted and is going to continuously evolve with time. What you'll do Test Case Design and Documentation Actively use AI and intelligent agents to accelerate test generation, test maintenance, and coverage expansion. Leverage LLMs to convert requirements, user stories, and production incidents into high-quality automated test cases. Reduce reliance on manual test case creation by introducing AI-assisted automation workflows, with human review and ownership. Apply AI to optimize test selection, prioritization, and execution based on risk, code changes, and historical failures. Use AI to assist in identi
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. When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges. Smartsheet is seeking a Senior Business DevOps Engineer to join our Corporate Systems Development team in Bangalore. This role will focus on building and scaling our CI/CD pipelines, infrastructure automation, monitoring frameworks, and deployment processes supporting mission-critical integrations across Finance, People, Sales, Legal, IT, and Engineering systems. You’ll work across a variety of systems and platforms (AWS, GitLab, DataDog, Terraform, Boomi, UiPath) to streamline deployment of backend integrations and automation solutions. If you thrive on optimizing developer velocity, ensuring system reliability, and automating everything from build to deploy, this role is for you. The position reports to the Senior Manager, Systems Development and collaborates closely with global developers, architects, and application administrators to ensure our platform foundations are secure, efficient, and scalable
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 looking for a highly technical Sr. Manager to lead our India-based Service Desk and IT Automation operations. This is a working-manager role: you'll personally execute technical work — scripting, automation builds, escalated ticket resolution — while also leading a team. If you're looking for a purely strategic or delegation-only leadership role, this isn't it. You'll manage a team spanning Service Desk, Tier 1 SOC support, and IT Automation Engineering, driving the technical maturity of our global support infrastructure through automation, scripting, deep systems integration, and increasingly, AI-augmented workflows. This role reports to the Director of End User Systems, with close, day-to-day partnership across US-based Desktop Support managers. For the right candidate, this role has a clear path to Director as we continue scaling our India GCC — with growth into that level anticipated within 12–18 months. This is also a strong fit for a Director-level leader currently at a SaaS startup who's looking to move into a larger, enterprise SaaS organization — and who is open to a step down in title now in exchange for a step up in scale, platform, and long-term trajectory. You Will IT Automation & Architecture Drive the IT automation function, identifying repetitive Tier 1 tasks and owning their automation end-to-end — from scoping through build, testing, and measurement Evaluate and build AI-augmented automation where it meaningfully reduces toil (e.g. intelligent ticket triage, SOC alert summarisation, AI
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 looking for a highly technical Sr. Manager to lead our India-based Service Desk and IT Automation operations. This is a hands-on, working manager role — you will be personally executing technical work (scripting, automation builds, escalated ticket resolution) and leading a team, not just overseeing one. If you're looking for a purely strategic or delegation-only leadership role, this isn't it. You will manage a team spanning Service Desk, Tier 1 SOC support, and IT Automation Engineering — driving the technical maturity of our global support infrastructure through automation, scripting, deep systems integration, and increasingly, AI-augmented workflows (e.g. intelligent ticket triage, SOC alert summarisation, AI-assisted knowledge base drafting). This role reports directly to the Director of End User Systems , with close, cooperative partnership with US-based Desktop Support managers. You Will IT Automation & Architecture Support the IT automation function, driving initiatives that reduce repetitive work and scale operations efficiently Identify repetitive Tier 1 tasks and drive end-to-end automation from identification through build, testing, and measurement Evaluate and build AI-augmented automation where it reduces toil — e.g. intelligent ticket triage, SOC alert summarisation, AI-assisted knowledge base drafting Mentor team on automation best practices and review technical designs before deployment Team Leadership & Execution Manage India-based Service Desk team with daily coordination with US
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 • Create and execute automated and manual test cases to ensure optimal system performance according to specifications. • Work closely with software development and support teams to deliver high-quality applications in a timely manner. • Develop and maintain comprehensive test plans, including manual and automated tests for functional, regression, and integration testing. • Build consensus between stakeholders and developers to define clear and testable acceptance criteria. • Document quality assurance and process flows, both existing and proposed. • Advocate for best quality assurance practices and testing techniques. • Ensure any new software changes meet business, legal, compliance, and technical requirements. • Develop and maintain test automation frameworks for various applications in trading domains. • Maintain and track quality assurance capacity, velocity, statuses, and deliverables with the team lead. WHAT’S REQUIRED • 5+ years of experience in quality assurance with test automation, software engineering, or business analysis roles. • Comprehensive expertise in processing trades, managing trading and lifecycle events, handling corporate actions, and managing cash flows. • Experience supporting fixed income products, Equities and Treasuries. • Solid understanding of position management for listed and OTC products. • Understanding of SDLC, Test lifecycle, and testing methodologies. • Experience creating and writing SQL que
We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin
About the Role At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale. If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk. Responsibilities Design and build fleet automation systems that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention. Build AI Infrastructure Agents that automate deployment, root-cause failures, incident triage, and autonomous remediation. Develop Fleet Intelligence platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers. Build software that maximizes GPU availability, utilization, performance, and reliability across thousands of accelerators. Create automated validation systems for GPUs, InfiniBand/RoCE fabrics, NVLink/NVSwitch, storage, and distributed AI workloads. Build internal platforms and developer tools that allow infrastructure to be managed through software—not manual operations. Continuously improve deployment velocity, reliability, and operational efficiency through automation. Partner closely with hardware, networking, platform, and AI teams to push the limits of AI infrastructure. Requirements 3+ years building distributed systems, infrastructure platforms, or large-scale backend software. Strong software engineering skills in Python, Go, or Rust . Experience building platforms, automation systems, or developer infrastructure. Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies. Strong systems thinking with the ability to understand problems across hardw
We are seeking a highly skilled and experienced Staff Network Site Reliability Engineer (SRE) to join our Enterprise Network Operations and SRE team. In this role, you will be pivotal in implementing our vision for a reliable and efficient network infrastructure. The ideal candidate is passionate about network operations and committed to enhancing the user experience. You'll have the opportunity to solve complex network challenges using hands-on debugging and by focusing on network automation, observability, documentation, and operational excellence. This is a critical position focused on ensuring user satisfaction and brilliance in network operations. What you'll be doing: Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability, actively working on network incidents and service requests. Partnering with architecture and deployment teams to guarantee that new implementations are supportable and align with production standards. Advocating for and implementing automation to reduce toil and improve operational efficiency. Minimizing manual operational tasks to achieve and maintain Service Level Objectives (SLOs). Monitoring network performance, identifying areas for improvement, and collaborating with relevant teams to implement refinements. Proactively identifying and mitigating network risks to promote continuous improvement. Collaborating with domain experts across functions to resolve production issues swiftly and effectively, ensuring customer happiness. Conducting blameless postmortems and following through on Root Cause Analyses (RCAs). Discovering opportunities for operational improvements and teaming up with colleagues to devise solutions that enhance excellence and sustainability in network operations. Developing knowledge base articles for automa
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
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 Senior Automation Engineer to design and scale intelligent automation across Okta’s Enterprise Technology ecosystem. This role will reduce manual operational work, improve developer productivity, and accelerate the software delivery lifecycle across platforms such as Salesforce, NetSuite, AEM, Boomi, identity systems, CI/CD platforms, and other enterprise applications. The engineer will build reliable automation services, reusable integration patterns, and AI-assisted developer agents that understand source code, metadata, configuration, tickets, documentation, deployment history, and operational context. These solutions will automate release activities, identify deployment risks, reduce merge-conflict resolution effort, improve environment management, and enable safe self-service operations. The role requires a combination of software engineering, enterprise application expertise, API and integration development, CI/CD automation, security engineering, and practical experience applying AI to developer and operational workflows. The ideal candidate is comfortable moving between platform-specific technologies and building scalable, secure, platform-agnostic automation frameworks. What you'll be doing Intelligent Automation and Developer Productivity Build AI-assisted developer agents and automation services that reduce repetitive engineering and operational work. Use contextual information from Git repos
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
We are seeking a skilled and detail-oriented Test Analyst with 3-5 years of experience and a bachelor's degree in Computer Science, Information Technology, Engineering, or a related field to join our dynamic team. The ideal candidate will have a strong background in software testing, with a deep understanding of the software development lifecycle and a passion for ensuring the quality of software products. Key responsibilities include analyzing project requirements, designing test plans and test cases, and performing both manual and automated testing of software applications. The Test Analyst will work closely with developers, business analysts, and other stakeholders to ensure the quality and integrity of the product. This includes participating in Agile ceremonies such as sprint planning, stand-ups, and retrospectives. Additionally, the role involves developing and maintaining automated test scripts, integrating them into the CI/CD pipeline, and generating test reports and metrics to communicate progress and quality to stakeholders. The ideal candidate will possess strong problem-solving skills, a keen eye for detail, and the ability to work effectively in a collaborative team environment. Familiarity with test automation tools like Selenium, scripting languages such as Python or Java, and CI/CD tools like Jenkins is essential. Excellent verbal and written communication skills are required, and experience in Agile/Scrum environments is a plus. An ISTQB certification or equivalent is preferred but not mandatory. This position offers a competitive salary and benefits package, along with opportunities for professional development and career growth.
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