Hello Folks, Greetings from Indexnine Technologies! 🚀 We're Hiring: Senior Software Engineer (Backend | #Node.js) 📍 Location: Pune | 💼 Experience: 5-8 Years We’re on the lookout for highly skilled Senior #Backend Engineers - Required Tech Stack & Skills : #Node.js – Deep hands-on experience is a must #MongoDB – Strong understanding of schema design & performance tuning #Cloud Platforms – #AWS preferred -Built or scaled #microservices-based systems 🎯 Role Expectations : #Senior Software Engineer (5–8 years): - Strong individual contributor with solid backend fundamentals - Ownership of end-to-end modules -#Architect and deliver scalable backend solutions -Drive best practices, reviews, and performance improvements If #backend engineering is your strength and you naturally think in terms of system #architecture and scalability, have built or scaled #microservices-based systems, and operate with an architect-level vision, here is your chance to work with the core team of a product technology company in the #cybersecurity domain. "Great talent deserves great rewards — and we’re aligned with that mindset." Send in your updated resume - harpreet.makkad@indexnine.com #NodeJS #BackendDevelopment #SeniorEngineer #TypeScript #MongoDB #AWS #Microservices #Architect #UrgentHiring #JoinUs
Hello Folks, Greetings from Indexnine Technologies! 🚀 We're Hiring: Senior Software Engineer (Backend | #Node.js) 📍 Location: Pune | 💼 Experience: 6-10 Years We’re on the lookout for highly skilled Senior #Backend Engineers - Required Tech Stack & Skills : #Node.js – Deep hands-on experience is a must #MongoDB – Strong understanding of schema design & performance tuning #Cloud Platforms – #AWS preferred -Built or scaled #microservices-based systems 🎯 Role Expectations : #Senior Software Engineer (5–10 years): - Strong individual contributor with solid backend fundamentals - Ownership of end-to-end modules -#Architect and deliver scalable backend solutions -Drive best practices, reviews, and performance improvements If #backend engineering is your strength and you naturally think in terms of system #architecture and scalability, have built or scaled #microservices-based systems, and operate with an architect-level vision, here is your chance to work with the core team of a product technology company in the #cybersecurity domain. "Great talent deserves great rewards — and we’re aligned with that mindset." Send in your updated resume - harpreet.makkad@indexnine.com #NodeJS #BackendDevelopment #SeniorEngineer #TypeScript #MongoDB #AWS #Microservices #Architect #UrgentHiring #JoinUs
About the Role We are hiring a Senior QA Engineer to drive quality delivery across Identity Governance & Administration (IGA) modules. The ideal candidate combines technical automation depth, analytical problem-solving, and domain expertise —with hands-on experience in Saviynt, SailPoint, or similar IGA/IAM platforms . Key Responsibilities Own end-to-end quality for assigned IGA modules (Provisioning, Lifecycle Management, Access Reviews). Design and maintain UI and API automation frameworks using Python, Robot Framework, and Playwright . Integrate automation suites into CI/CD pipelines (Jenkins, Bitbucket) with tagging, reporting, and quality gates. Perform deep analysis and debugging of functional, API, and performance issues using logs, traces, and observability tools (Datadog). Collaborate with Product, Dev, and DevOps teams to ensure release readiness, RCA on production issues, and automation-first adoption . Identify test gaps, optimize regression coverage, and continuously improve QA processes and test visibility . Mentor junior engineers and contribute to knowledge sharing, documentation, and framework enhancements. Required Skills & Experience 5–7 years of QA experience , including 3+ years in Python-based automation . Hands-on expertise in Robot Framework , Playwright , and API testing (REST, JSON) . Proven experience testing Identity & Access Management (IAM/IGA) solutions — strong understanding of Provisioning, Lifecycle Management (LCM), Access Requests, Role Management, and SSO/SAML . Excellent analytical and debugging skills — ability to isolate, reproduce, and analyse complex issues across multiple systems. Strong attention to detail and an eye for identifying defects, data mismatches, and flow inconsistencies . Experience with CI/CD (Jenkins, Bitbucket, AWS pipelines) and test management tools (Zephyr, Jira) . Familiar with observability tools (Datadog preferred) for root cause and trend analysis. Proven ability to communicate clearly , manage scope during tight release cycles, and handle stakeholder feedback constructively. Good to Have Experience in Saviynt, SailPoint , or equivalent IGA platforms. Contribution toward framework scalability , flaky test reduction , or pipeline optimization . Experience testing SaaS or microservices-based applications .
Job Summary: We are seeking a highly experienced and driven Full Stack Technical Lead with strong development expertise, especially in Node.js, Angular.JS, TypeScript, and MongoDB. The ideal candidate should be technically sound, cloud-savvy (preferably in AWS or Azure), and capable of leading development teams while contributing as a hands-on individual contributor. This role is ideal for candidates operating at or near Architect-level proficiency, with a strong foundation in backend systems. Key Responsibilities: ● Lead the design, development, and implementation of robust, scalable backend systems using Node.js and TypeScript. ● Architect solutions with clean code practices, high availability, and performance at scale. ● Drive the adoption of modern development frameworks, patterns, and tools across the team. ● Mentor and guide a team of engineers while also contributing directly to code and architecture. ● Collaborate with product managers, QA teams, and DevOps to ensure seamless delivery and deployment. ● Define and maintain API structures, data models, and service integration strategies. ● Handle backend performance tuning, cloud deployment, monitoring, and troubleshooting. ● Champion best practices in backend development, code reviews, and team processes. Required Skills: ● 8–12 years of total experience in backend development. ● Strong hands-on experience with Node.js,Angular.JS, TypeScript, and MongoDB. ● Proven experience with at least one cloud platform – preferably AWS or Azure. ● Deep understanding of RESTful APIs, microservices architecture, and system design principles. ● Strong problem-solving skills with a passion for scalable, high-quality backend architecture. ● Experience working both as an individual contributor and as a team lead. ● Excellent communication, leadership, and mentoring skills. Preferred Profile: ● Candidates with experience close to an Architect-level profile. ● Backend-focused professionals – frontend-heavy experience is not preferred. ● Exposure to containerization (Docker/Kubernetes), CI/CD pipelines, and DevOps practices is a plus.
Job Title: Tech Lead Experience: 7–10 Years Role Overview We are looking for a Tech Lead – Engineering & AI Projects who can drive the technical vision and execution of both software engineering and AI initiatives. This is a hands-on leadership role that blends strong full-stack engineering capabilities with practical exposure to AI/ML systems, MLOps, and LLM-based applications. You will lead cross-functional teams, architect scalable solutions, and ensure seamless delivery across product, engineering, and AI teams — while mentoring engineers and fostering a culture of technical excellence and innovation. Key Responsibilities Lead architecture, design, and development of robust, scalable engineering and AI solutions across products and platforms. Drive the implementation of AI and LLM-integrated systems, including RAG pipelines and Agentic AI workflows, using frameworks such as LangChain, CrewAI, or LangGraph. Architect and oversee cloud-native, microservices-based applications leveraging Node.js, TypeScript, and modern DevOps practices. Collaborate with product owners, AI engineers, data teams, and DevOps to align solutions with business goals and delivery timelines. Promote best practices in software engineering, AI integration, testing, and observability across teams. Mentor and guide engineers, fostering growth, innovation, and technical ownership. Conduct technical reviews, performance audits, and ensure delivery of high-quality, maintainable code. Evaluate and recommend emerging technologies in AI and modern engineering for adoption. Experience: 7–10 years of software engineering experience with a strong backend or full-stack foundation. Minimum 2–3 years of AI/ML system delivery experience — designing, deploying, or integrating production-grade models or LLM-based systems. Proven experience leading technical teams, mentoring engineers, and driving delivery across multiple projects. Technical Skills Strong hands-on expertise in Node.js, TypeScript, and backend frameworks (Fastify, NestJS, or Express). Proficiency in databases (MongoDB, PostgreSQL, or NoSQL systems). Practical experience with LLMs, RAG architectures, and vector databases (Pinecone, FAISS, Chroma). Familiarity with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) and MLOps tools (MLflow, Airflow, Kubeflow). Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Exposure to frontend frameworks (React, Vue.js) and full-stack delivery practices. Knowledge of DevOps pipelines, CI/CD, and observability tools (Grafana, Prometheus, etc.). Soft Skills Excellent communication and stakeholder management abilities. Strong analytical mindset and problem-solving orientation. Proven leadership in cross-functional environments with multiple stakeholders. Passion for mentoring, learning, and staying current with evolving AI and engineering practices. Preferred Skills Experience in AI productization — embedding AI or LLM capabilities into customer-facing products. Understanding of Responsible AI principles and ethical AI usage. Background in consulting or product engineering environments delivering to global clients. Experience managing distributed or hybrid teams.
Job Title: Tech Lead Experience: 710 Years Role Overview We are looking for a Tech Lead Engineering & AI Projects who can drive the technical vision and execution of both software engineering and AI initiatives. This is a hands-on leadership role that blends strong full-stack engineering capabilities with practical exposure to AI/ML systems, MLOps, and LLM-based applications. You will lead cross-functional teams, architect scalable solutions, and ensure seamless delivery across product, engineering, and AI teams while mentoring engineers and fostering a culture of technical excellence and innovation. Key Responsibilities Lead architecture, design, and development of robust, scalable engineering and AI solutions across products and platforms. Drive the implementation of AI and LLM-integrated systems, including RAG pipelines and Agentic AI workflows, using frameworks such as LangChain, CrewAI, or LangGraph. Architect and oversee cloud-native, microservices-based applications leveraging Node.js, TypeScript, and modern DevOps practices. Collaborate with product owners, AI engineers, data teams, and DevOps to align solutions with business goals and delivery timelines. Promote best practices in software engineering, AI integration, testing, and observability across teams. Mentor and guide engineers, fostering growth, innovation, and technical ownership. Conduct technical reviews, performance audits, and ensure delivery of high-quality, maintainable code. Evaluate and recommend emerging technologies in AI and modern engineering for adoption. Experience: 710 years of software engineering experience with a strong backend or full-stack foundation. Minimum 23 years of AI/ML system delivery experience designing, deploying, or integrating production-grade models or LLM-based systems. Proven experience leading technical teams, mentoring engineers, and driving delivery across multiple projects. Technical Skills Strong hands-on expertise in Node.js, TypeScript, and backend frameworks (Fastify, NestJS, or Express). Proficiency in databases (MongoDB, PostgreSQL, or NoSQL systems). Practical experience with LLMs, RAG architectures, and vector databases (Pinecone, FAISS, Chroma). Familiarity with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) and MLOps tools (MLflow, Airflow, Kubeflow). Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Exposure to frontend frameworks (React, Vue.js) and full-stack delivery practices. Knowledge of DevOps pipelines, CI/CD, and observability tools (Grafana, Prometheus, etc.). Soft Skills Excellent communication and stakeholder management abilities. Strong analytical mindset and problem-solving orientation. Proven leadership in cross-functional environments with multiple stakeholders. Passion for mentoring, learning, and staying current with evolving AI and engineering practices. Preferred Skills Experience in AI productization embedding AI or LLM capabilities into customer-facing products. Understanding of Responsible AI principles and ethical AI usage. Background in consulting or product engineering environments delivering to global clients. Experience managing distributed or hybrid teams.
About the Role We are hiring a Senior QA Engineer to drive quality delivery across Identity Governance & Administration (IGA) modules. The ideal candidate combines technical automation depth, analytical problem-solving, and domain expertise —with hands-on experience in Saviynt, SailPoint, or similar IGA/IAM platforms . Key Responsibilities Own end-to-end quality for assigned IGA modules (Provisioning, Lifecycle Management, Access Reviews). Design and maintain UI and API automation frameworks using Python, Robot Framework, and Playwright . Integrate automation suites into CI/CD pipelines (Jenkins, Bitbucket) with tagging, reporting, and quality gates. Perform deep analysis and debugging of functional, API, and performance issues using logs, traces, and observability tools (Datadog). Collaborate with Product, Dev, and DevOps teams to ensure release readiness, RCA on production issues, and automation-first adoption . Identify test gaps, optimize regression coverage, and continuously improve QA processes and test visibility . Mentor junior engineers and contribute to knowledge sharing, documentation, and framework enhancements. Required Skills & Experience 5–7 years of QA experience , including 3+ years in Python-based automation . Hands-on expertise in Robot Framework , Playwright , and API testing (REST, JSON) . Proven experience testing Identity & Access Management (IAM/IGA) solutions — strong understanding of Provisioning, Lifecycle Management (LCM), Access Requests, Role Management, and SSO/SAML . Excellent analytical and debugging skills — ability to isolate, reproduce, and analyse complex issues across multiple systems. Strong attention to detail and an eye for identifying defects, data mismatches, and flow inconsistencies . Experience with CI/CD (Jenkins, Bitbucket, AWS pipelines) and test management tools (Zephyr, Jira) . Familiar with observability tools (Datadog preferred) for root cause and trend analysis. Proven ability to communicate clearly , manage scope during tight release cycles, and handle stakeholder feedback constructively. Good to Have Experience in Saviynt, SailPoint , or equivalent IGA platforms. Contribution toward framework scalability , flaky test reduction , or pipeline optimization . Experience testing SaaS or microservices-based applications .
Job Summary: We are seeking a highly experienced and driven Full Stack Technical Lead with strong development expertise, especially in Node.js, Angular.JS, TypeScript, and MongoDB. The ideal candidate should be technically sound, cloud-savvy (preferably in AWS or Azure), and capable of leading development teams while contributing as a hands-on individual contributor. This role is ideal for candidates operating at or near Architect-level proficiency, with a strong foundation in backend systems. Key Responsibilities: ? Lead the design, development, and implementation of robust, scalable backend systems using Node.js and TypeScript. ? Architect solutions with clean code practices, high availability, and performance at scale. ? Drive the adoption of modern development frameworks, patterns, and tools across the team. ? Mentor and guide a team of engineers while also contributing directly to code and architecture. ? Collaborate with product managers, QA teams, and DevOps to ensure seamless delivery and deployment. ? Define and maintain API structures, data models, and service integration strategies. ? Handle backend performance tuning, cloud deployment, monitoring, and troubleshooting. ? Champion best practices in backend development, code reviews, and team processes. Required Skills: ? 812 years of total experience in backend development. ? Strong hands-on experience with Node.js,Angular.JS, TypeScript, and MongoDB. ? Proven experience with at least one cloud platform preferably AWS or Azure. ? Deep understanding of RESTful APIs, microservices architecture, and system design principles. ? Strong problem-solving skills with a passion for scalable, high-quality backend architecture. ? Experience working both as an individual contributor and as a team lead. ? Excellent communication, leadership, and mentoring skills. Preferred Profile: ? Candidates with experience close to an Architect-level profile. ? Backend-focused professionals frontend-heavy experience is not preferred. ? Exposure to containerization (Docker/Kubernetes), CI/CD pipelines, and DevOps practices is a plus.
Key Responsibilities : Backend Cloud Engineering: Design and build backend solutions using .NET 8+ deployed on Azure, with a focus on event-driven architectures. Azure Resource Provisioning: Implement Infrastructure-as-Code using Terraform to stand up, maintain, and optimize Azure resources (App Services, Functions, Storage, Cosmos DB, etc.). Event-Driven Development: Develop backend workflows using Azure Functions (including Durable Functions), integrate with Event Grid, Service Bus, APIM, and other messaging/eventing services. API Development & Management: Build and expose APIs with Azure API Management (APIM) and .NET (Web API, minimal APIs), ensuring robust security and performance. Serverless and Distributed Systems: Engineer scalable, resilient serverless solutions utilizing Azure & PaaS ecosystem. Data Integration: Implement backend integrations with Azure Cosmos DB, Blob Storage, and queues for persistent, high-throughput workloads. CI/CD Practices: Automate deployments and application lifecycle using CI/CD pipelines in Azure DevOps or GitHub Actions. Monitoring & Optimization: Set up monitoring, logging, and alerting using Azure Monitor, Application Insights, and best DevOps practices. Code Quality: Write clean, testable code (unit/integration tests), contribute to code reviews, and maintain documentation. Required Qualifications : Bachelor’s degree in computer science, Engineering, or a related field OR equivalent professional experience. Azure Cloud: 3–5 years hands-on experience with Microsoft Azure backend/PaaS services (Functions, Event Grid, APIM, Cosmos DB, Blob Storage, Service Bus, etc.). .NET/C# Development: 8+ years of experience building backend solutions in .NET (version 8 or higher required; experience with .NET 9 preferred). Terraform: 3+ years of experience automating cloud resource provisioning and configuration using Terraform on Azure. Event-Driven Solutions: Experience developing event-driven and message-based distributed systems, ideally using Azure native services. API & Integration: Strong background in designing, building, and securing APIs and integrating with various Azure services. CI/CD: Proficiency with source control (Git) and automated CI/CD in Azure or GitHub ecosystem. Testing: Strong understanding of modern testing patterns for backend systems (unit/integration testing, mocking frameworks). Cloud-Native Patterns: Practical knowledge of serverless, resilience, scalability, and cloud architecture best practices. Experience in CI/CD automation with GitHub Actions. Soft Skills : Strong communication and team collaboration skills Analytical mind with strong problem-solving ability Attention to documentation and code quality
Key Responsibilities : ? Backend Cloud Engineering: Design and build backend solutions using .NET 8+ deployed on Azure, with a focus on event-driven architectures. ? Azure Resource Provisioning: Implement Infrastructure-as-Code using Terraform to stand up, maintain, and optimize Azure resources (App Services, Functions, Storage, Cosmos DB, etc.). ? Event-Driven Development: Develop backend workflows using Azure Functions (including Durable Functions), integrate with Event Grid, Service Bus, APIM, and other messaging/eventing services. ? API Development & Management: Build and expose APIs with Azure API Management (APIM) and .NET (Web API, minimal APIs), ensuring robust security and performance. ? Serverless and Distributed Systems: Engineer scalable, resilient serverless solutions utilizing Azure & PaaS ecosystem. ? Data Integration: Implement backend integrations with Azure Cosmos DB, Blob Storage, and queues for persistent, high-throughput workloads. ? CI/CD Practices: Automate deployments and application lifecycle using CI/CD pipelines in Azure DevOps or GitHub Actions. ? Monitoring & Optimization: Set up monitoring, logging, and alerting using Azure Monitor, Application Insights, and best DevOps practices. ? Code Quality: Write clean, testable code (unit/integration tests), contribute to code reviews, and maintain documentation. Required Qualifications : ? Bachelor's degree in computer science, Engineering, or a related field OR equivalent professional experience. ? Azure Cloud: 35 years hands-on experience with Microsoft Azure backend/PaaS services (Functions, Event Grid, APIM, Cosmos DB, Blob Storage, Service Bus, etc.). ? .NET/C# Development: 8+ years of experience building backend solutions in .NET (version 8 or higher required; experience with .NET 9 preferred). ? Terraform: 3+ years of experience automating cloud resource provisioning and configuration using Terraform on Azure. ? Event-Driven Solutions: Experience developing event-driven and message-based distributed systems, ideally using Azure native services. ? API & Integration: Strong background in designing, building, and securing APIs and integrating with various Azure services. ? CI/CD: Proficiency with source control (Git) and automated CI/CD in Azure or GitHub ecosystem. ? Testing: Strong understanding of modern testing patterns for backend systems (unit/integration testing, mocking frameworks). ? Cloud-Native Patterns: Practical knowledge of serverless, resilience, scalability, and cloud architecture best practices. ? Experience in CI/CD automation with GitHub Actions. Soft Skills : ? Strong communication and team collaboration skills ? Analytical mind with strong problem-solving ability ? Attention to documentation and code quality
Job Title: Tech Lead Experience: 7–10 Years Role Overview We are looking for a Tech Lead – Engineering & AI Projects who can drive the technical vision and execution of both software engineering and AI initiatives. This is a hands-on leadership role that blends strong full-stack engineering capabilities with practical exposure to AI/ML systems, MLOps, and LLM-based applications. You will lead cross-functional teams, architect scalable solutions, and ensure seamless delivery across product, engineering, and AI teams — while mentoring engineers and fostering a culture of technical excellence and innovation. Key Responsibilities Lead architecture, design, and development of robust, scalable engineering and AI solutions across products and platforms. Drive the implementation of AI and LLM-integrated systems, including RAG pipelines and Agentic AI workflows, using frameworks such as LangChain, CrewAI, or LangGraph. Architect and oversee cloud-native, microservices-based applications leveraging Node.js, TypeScript, and modern DevOps practices. Collaborate with product owners, AI engineers, data teams, and DevOps to align solutions with business goals and delivery timelines. Promote best practices in software engineering, AI integration, testing, and observability across teams. Mentor and guide engineers, fostering growth, innovation, and technical ownership. Conduct technical reviews, performance audits, and ensure delivery of high-quality, maintainable code. Evaluate and recommend emerging technologies in AI and modern engineering for adoption. Experience: 7–10 years of software engineering experience with a strong backend or full-stack foundation. Minimum 2–3 years of AI/ML system delivery experience — designing, deploying, or integrating production-grade models or LLM-based systems. Proven experience leading technical teams, mentoring engineers, and driving delivery across multiple projects. Technical Skills Strong hands-on expertise in Node.js, TypeScript, and backend frameworks (Fastify, NestJS, or Express). Proficiency in databases (MongoDB, PostgreSQL, or NoSQL systems). Practical experience with LLMs, RAG architectures, and vector databases (Pinecone, FAISS, Chroma). Familiarity with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn) and MLOps tools (MLflow, Airflow, Kubeflow). Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Exposure to frontend frameworks (React, Vue.js) and full-stack delivery practices. Knowledge of DevOps pipelines, CI/CD, and observability tools (Grafana, Prometheus, etc.). Soft Skills Excellent communication and stakeholder management abilities. Strong analytical mindset and problem-solving orientation. Proven leadership in cross-functional environments with multiple stakeholders. Passion for mentoring, learning, and staying current with evolving AI and engineering practices. Preferred Skills Experience in AI productization — embedding AI or LLM capabilities into customer-facing products. Understanding of Responsible AI principles and ethical AI usage. Background in consulting or product engineering environments delivering to global clients. Experience managing distributed or hybrid teams.