Tools And Automation Engineer in India

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

Title: AI Application Packaging Engineer Location: Andheri (East), Mumbai Reports to: Service Director ABOUT BLENHEIM CHALCOT: As part of the Blenheim Chalcot portfolio, we benefit from the expertise, infrastructure, and scale of the leading global venture builder. With over 25 years of experience creating and growing SaaS businesses powered by Generative AI, Blenheim Chalcot has built 60+ ventures across sectors such as financial services, education, health, and marketing. Our global ecosystem—including Scale Space in London, the Rajasthan Royals in Mumbai, and a go-to-market base in Austin—enables us to access world-class talent, tools, and support to accelerate our growth and build a market-leading business. THE ROLE: We’re looking for an AI-first ITS Engineer with strong Application Packaging expertise to join our growing team at Agilisys. In this role, you’ll work across Application Packaging, Endpoint Management, Cloud Deployment, and Automation, helping modernise IT operations through AI-driven and scalable solutions. This is an opportunity to work in a fast-paced environment where automation, innovation, and operational efficiency are at the core of what we do. ABOUT YOU: Must-Have's 5+ years of hands-on experience with SCCM and/or Microsoft Intune for application packaging, deployment, and endpoint management. Strong experience with PowerShell scripting and a good understanding of Windows Registry, File System internals, and deployment workflows. Experience managing application packaging, deployment, patching, and remediation processes in enterprise environments. Exposure to vulnerability management and patch lifecycle activities using tools such as WSUS, Active Directory, or endpoint security solutions. An AI-first mindset with interest or experience leveraging Generative AI tools to improve efficiency across packaging, testing, deployment, troubleshooting, and operational tasks. Hands-on experience using automation or AI-assisted tools

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! Your Opportunity As a Senior Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with 5–8 years of relevant experience who can leverage open-source and custom tooling to orchestrate and maintain large-scale Kubernetes environments. You will play a "Captain" role—leading critical deliverables and mentoring junior engineers while maintaining the reliability of our global fleet. What You'll Do Architectural Leadership: Drive the design and implementation of internal tools, specifically focusing on Kubernetes Operators and Controllers to automate resource management. Platform Orchestration: Lead complex, large-scale infrastructure shifts. Operational Excellence: Take ownership of incident response, author comprehensive retrospectives, and implement systemic hardening to prevent recurrence using advanced overcommit strategies. This Role Requires Experience: 5–8 years in a DevOps, Site Reliability, or Infrastructure Engineering role. Kubernetes Mastery: Deep internals knowledge of Kubernetes and hands-on experience writing custom operators. Tooling Proficiency: Strong experience building production-grade tools and services, specifically for infrastructure automation. Operations-Heavy Mindset: A proven track record of Day 1/Day 2 operations for a large-scale Kubernetes fleet, handling high-severity incidents, and improving SLA compliance through auto

Location Details: Remote, 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 remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... We are looking for an experienced engineer to join the Infrastructure Management and Automation team. In this role, you’ll help shape and build the tools, platforms, and automation that power and manage GoDaddy’s growing infrastructure footprint while leading the design of scalable solutions to complex operational challenges. Our infrastructure platform empowers GoDaddy engineers to help small business customers start, grow, and run their ventures. GoDaddy teams rely on our infrastructure solutions every day, whether for development workflows or hosting production workloads at global scale. If you enjoy solving complex technical problems, designing scalable systems, influencing technical direction, and improving how infrastructure is managed and automated, we’d love to hear from you! What you'll get to do... Lead the design and evolution of GoDaddy’s next generation of infrastructure management platforms and automation systems, taking ownership of complex technical areas from design through delivery and operation Leverage modern engineering practices and AI-assisted development workflows to rapidly design, build, and deliver scalable internal tooling and automation Design and build reliable services and integrations across infrastructure platforms and operational systems, including provisioning, networking, IPAM, DNS, CMDB, and asset management workflows Partner with engineering and operations teams to identify opportunities, shape technical solutions, and improve infrastructure reliability, scalability, utilization, and opera

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . About the Role We're looking for a Cloud Engineer to own and evolve our Microsoft Azure environment — from core infrastructure to the data and AI platforms built on top of it. You'll drive our shift from legacy VM-based infrastructure to modern, cloud-native architecture, using Infrastructure as Code (Bicep) and automation (PowerShell) as your default tools rather than manual work. Beyond infrastructure, you'll take ownership of our

Are you looking for an opportunity to help solve one of today's biggest business challenges? AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team. Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning. Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com . Cloud Engineer About the Role We're looking for a Cloud Engineer to own and evolve our Microsoft Azure environment — from core infrastructure to the data and AI platforms built on top of it. You'll drive our shift from legacy VM-based infrastructure to modern, cloud-native architecture, using Infrastructure as Code (Bicep) and automation (PowerShell) as your default tools rather than manual work. Beyond infrastructure, you'll

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. Job Description: ABOUT THE TEAM Our Engineering team is revolutionizing how Appian resolves customer issues by building AI-powered diagnostic tools and internal platforms that dramatically reduce resolution time. We combine deep technical expertise with AI innovation to empower support engineers to identify root causes faster, ensuring our customers experience uninterrupted business-critical operations. This team operates with high autonomy and directly impacts customer satisfaction and retention across Appian's enterprise client base. THE OPPORTUNITY Appian is at an inflection point where intelligent automation meets customer success, and we need a technical leader who can architect and ship the next generation of diagnostic platforms. This role exists because our growing enterprise customer base demands faster, smarter issue resolution, and AI agents are the key to unlocking that scale. You will shape both the technical direction and the team culture while delivering tools that become essential to how Appian supports thousands of mission-critical deployments worldwide. WHAT YOU'LL DO Lead the design and delivery of a scalable AI-powered triage platform that reduces mean time to resolution by leveraging AI agents, LangChain frameworks, and intelligent diagnostics Lead the engineering team building AI-powered diagnostic tools that cut customer issue resolution time in half while scaling a platform that empowers support engineers across the globe. Architect quarterly releases of diagnostic tools on AWS infrastructure, balancing innovation velocity with pro

Experience 1-2 years Python Programming : Strong foundational skills in Python. Automation : Ability to automate tasks with Python scripts. Web Development : Basic knowledge of Flask or Django for building web applications. Database Management : Understanding of SQL and experience with databases like MySQL or SQLite. Version Control : Familiarity with Git for code management. Data Analysis : Experience with libraries like Pandas and NumPy. Testing : Basic knowledge of writing unit tests. Problem-Solving : Ability to troubleshoot and solve coding issues. Basic DevOps : Introduction to CI/CD tools and processes. Communication : Good verbal and written communication skills.

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. Manager, Software Development Are you an elite technical leader who thrives as a hands-on contributor while simultaneously coaching, mentoring, and scaling a high-performance software engineering team? At Appian, engineering managers don’t just oversee. They build, shape, and grow the people and technology that power AI automation for the world’s largest enterprises and governments. Location: Chennai, India | Work Model: On-site (5 days/week) About the Team Our Engineering team is revolutionizing how Appian resolves customer issues by building AI-powered diagnostic tools and internal platforms that dramatically reduce resolution time. We combine deep technical expertise with AI innovation to empower support engineers to identify root causes faster, ensuring our customers experience uninterrupted business-critical operations. This team operates with high autonomy and directly impacts customer satisfaction and retention across Appian's enterprise client base The Opportunity Appian is at an inflection point where intelligent automation meets customer success, and we need a technical leader who can architect and ship the next generation of diagnostic platforms. This role exists because our growing enterprise customer base demands faster, smarter issue resolution, and AI agents are the key to unlocking that scale. You will shape both the technical direction and the team culture while delivering tools that become essential to how Appian supports thousands of mission-critical deployments worldwide. What You’ll Do Lead the design and delivery of a scalable

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes. Key Responsibilities: As a Software Developer - Platform, you will play a vital role in building and enhancing tools that empower our Quant, Infrastructure, Compliance, and Operations teams. In addition to web application development, you will be responsible for automating critical infrastructure processes, optimizing tasks, and delivering scalable solutions for our trading ecosystem. Application Development: Develop and maintain in-house software tailored for business and trading requirements. Enhance internal tools and applications to improve the user experience for different teams. Ensure robust and reliable trade monitoring systems through continuous innovation. Automation Development: Design and develop frameworks to automate infrastructure provisioning, configuration, and deployment using latest industry best practices Automate exchange-specific tasks such as connectivity management, order book monitoring, and trade execution workflows. Task Optimization: Identify and optimize repetitive tasks through scripting and configuration management. Ensure scalable and adaptable solutions to support multiple exchanges and regions. Infrastructure as Code (IaC): Use Ansible to codify infrastructure configurations, ensuring consistency and repeatability. Manage playbooks for server setups, network configurations, and middleware deployment. System Monitoring and Maintenance: Develop tools for system health checks, performance monitoring, and logging. Automate response mechanisms for critical alerts and incidents. Collaboration: Work closely with infrastructure, network, and trading teams to gather requirements and deliver robust solutions. Coordinate with exchange connectivity teams to ensure complianc

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role We are building an AI Security and Governance capability and need an AI Security Analyst to be the front line for detecting, investigating, and containing risk across every AI tool, agent, and model touching AlphaSense's environment. You will monitor enterprise AI usage end to end, hunt for unauthorized ("shadow") AI and rogue agent activity, and turn raw AI telemetry into triaged findings the security and governance team can act on. Working alongside the Automation Engineer, Data Analyst, and Director, you will be a primary contributor to the evidence base underpinning our ISO 42001 certification and our broader AI risk posture. Key Responsibilities AI Tool Discovery & Shadow AI Monitoring Continuously monitor CASB/SWG, OAuth, and endpoint telemetry to discover unsanctioned AI tools, browser extensions, and API-level agents in u

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

We are seeking a qualified Senior Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and carry out automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuo

We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will have strong experience applying AI technologies to automate test cases and a deep understanding of Windows operating systems. Extensive knowledge of GPU, CPU, SoC, x86, and ARM architectures is required, along with expertise in PC I/O architecture and common bus interfaces such as PCIe, USB, and SATA. Familiarity with specifications for general PC architecture components is a plus. What you’ll be doing: Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on windows platforms. Build tools/utility/framework in Python, C# or equivalent which would help automate and optimize the testing workflows in GPU domain. Develop and implement automated and manual tests, analyze results, identify and report defects. Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing. Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements. Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth. Provide peer code reviews including feedback on performance, scalability and correctness. Report test coverage and Go/No-Go status for deliverables, escalate critical issues, and drive them to closure. Participate in root cause analysis and corrective actions to continuously im