Job Summary:We are seeking an experienced QA Manager with deep expertise in AI-specific testing to lead the quality assurance efforts for our Generative AI and Large Language Model (LLM) solutions. This role is critical in ensuring the performance, reliability, and integration of AI-driven systems through rigorous test planning, automation, and documentation.Key Responsibilities:Manage AI-specific defect identification, triage, and resolution, working closely with engineering and product teams.Oversee the design, development, and execution of test cases for Generative AI/LLM-based systems.Implement and maintain AI testing documentation, including traceability matrices, test plans, and test case repositories.Ensure comprehensive functional, regression, and integration testing across AI components and services.Generate detailed QA reports and dashboards, tracking coverage, issues, and test effectiveness.Lead automation efforts for LLM testing using industry-standard frameworks and tools.Collaborate cross-functionally with ML engineers, data scientists, and DevOps teams to ensure seamless delivery.Required Qualifications:Bachelor's or Master’s degree in Engineering or Computer Science from a top-tier university.10+ years in software QA, with at least 3+ years in AI/ML or LLM testing.Hands-on experience with automation frameworks (e.g., Selenium, PyTest, Robot Framework) and scripting (Python preferred).Deep understanding of Generative AI concepts, LLM architectures, and AI system behaviors.Familiarity with API testing tools (e.g., Postman, REST-assured) and performance testing tools (e.g., JMeter).Experience managing test strategies, test coverage, defect life cycle, and continuous testing in Agile environments.Kore.ai is PreferablePreferred Qualifications:Exposure to open-source LLMs (e.g., LLaMA, GPT, Claude) and fine-tuning/testing workflows.Familiarity with MLOps and CI/CD pipelines for AI model deployments.Experience working in cloud environments (Azure, AWS, GCP) for AI testing infrastructure.Certifications in ISTQB, AI/ML, or Test Automation.
Job Summary: We are seeking an experienced QA Manager with deep expertise in AI-specific testing to lead the quality assurance efforts for our Generative AI and Large Language Model (LLM) solutions. This role is critical in ensuring the performance, reliability, and integration of AI-driven systems through rigorous test planning, automation, and documentation. Key Responsibilities: Manage AI-specific defect identification, triage, and resolution , working closely with engineering and product teams. Oversee the design, development, and execution of test cases for Generative AI/LLM-based systems. Implement and maintain AI testing documentation , including traceability matrices, test plans, and test case repositories. Ensure comprehensive functional, regression, and integration testing across AI components and services. Generate detailed QA reports and dashboards , tracking coverage, issues, and test effectiveness. Lead automation efforts for LLM testing using industry-standard frameworks and tools. Collaborate cross-functionally with ML engineers, data scientists , and DevOps teams to ensure seamless delivery. Required Qualifications: Bachelor's or Master’s degree in Engineering or Computer Science from a top-tier university . 10+ years in software QA , with at least 3+ years in AI/ML or LLM testing . Hands-on experience with automation frameworks (e.g., Selenium, PyTest, Robot Framework) and scripting (Python preferred). Deep understanding of Generative AI concepts , LLM architectures, and AI system behaviors. Familiarity with API testing tools (e.g., Postman, REST-assured) and performance testing tools (e.g., JMeter). Experience managing test strategies, test coverage, defect life cycle , and continuous testing in Agile environments. Kore.ai is Preferable Preferred Qualifications: Exposure to open-source LLMs (e.g., LLaMA, GPT, Claude) and fine-tuning/testing workflows. Familiarity with MLOps and CI/CD pipelines for AI model deployments. Experience working in cloud environments (Azure, AWS, GCP) for AI testing infrastructure. Certifications in ISTQB , AI/ML , or Test Automation . Show more Show less
Lead DevOps Engineer Kubernetes | Java | Cloud (PYTHON CODING IS MANDATORY...) Location: Bengaluru, Karnataka, India Interview - Onsite About the Role The Microservices Platform Engineer will be responsible for designing, implementing, and maintaining scalable and highly available systems using Kubernetes and cloud technologies. Must have Strong Python Coding experience, along with upgrading and migrating Kubernetes. Responsibilities Build and maintain production-grade systems running in Kubernetes. Write infrastructure automation scripts or services in Golang, Python, and Bash. Manage cloud environments, especially AWS. Work in regulated industries or where compliance is key. Qualifications BS in Computer Science (or equivalent practical experience). 8+ years of hands-on engineering experience. Proven track record with large-scale, highly available, and scalable systems. Required Skills Strong experience with Kubernetes (K8s), Docker. Practical knowledge in CRDs (Custom Resource Definitions), Operators, K8s administration and upgrades. Strong background in vulnerability management, infrastructure security. Familiarity with compliance regimes like PCI, SOC2. Deep understanding of AWS cloud architecture. Strong in Golang, Python, and Bash. Experience with Git, GitHub/GitLab. Familiarity with CI/CD pipelines using Jenkins. Adherence to test-driven development, unit/integration testing. Strong documentation culture (readmes, runbooks, how-tos, etc.). Preferred Skills Previous experience at a product-focused tech company or large-scale platform. Open source contributions in Kubernetes-related projects. AWS certification (e.g., Solutions Architect or DevOps Pro). Experience in security/compliance-heavy environments (e.g., FinTech, HealthTech). Show more Show less
Job Title: Python Developer Kubernetes & AWS Location: Bangalore, Karnataka LOOKING ONLY 8<< YEAR OF EXP. CANDIDATES Position Overview: We are seeking a highly skilled Python Developer with strong expertise in Python programming, coupled with hands-on experience in Kubernetes and AWS Cloud . The ideal candidate will be responsible for designing, developing, and deploying scalable backend services, containerized applications, and cloud-native solutions in a fast-paced, collaborative environment. Key Responsibilities: Design, develop, and maintain robust, high-performance Python applications. Build and deploy containerized applications using Docker and Kubernetes . Architect and implement scalable, secure, and cost-efficient solutions on AWS Cloud . Integrate with APIs, databases, and microservices-based architectures. Write clean, maintainable, and testable code following best practices. Collaborate with DevOps, QA, and product teams to ensure smooth deployment pipelines. Troubleshoot, debug, and optimize performance of applications and cloud infrastructure. Implement CI/CD pipelines for automated testing and deployment. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience). 36 years of experience in Python development. Strong proficiency in Python frameworks (Flask, Django, or FastAPI). Hands-on experience with Kubernetes for container orchestration. Proven experience working on AWS services such as EC2, Lambda, S3, RDS, EKS, and CloudFormation. Proficiency in Git, CI/CD tools (Jenkins, GitHub Actions, or similar). Solid understanding of RESTful APIs, JSON, and microservices architecture. Knowledge of monitoring tools (Prometheus, Grafana, CloudWatch). Strong problem-solving and communication skills. Preferred Skills: Experience with serverless architectures on AWS. Familiarity with Infrastructure as Code (Terraform, AWS CDK). Knowledge of security best practices in cloud and container environments. Show more Show less
TITLE: TECHNICAL PROJECT MANAGER Candidate is expected to be hands on in web services, server-side experience. Will be analysing business requirements, would interact with different business teams. Will be a part of the solution design process. Manage execution against project plans and delivery commitments. Planning the releases, working closely with product managers, partners’ teams and engineers. Help ensuring quality and encourage innovation at all levels. RESPONSIBILITIES Coordinate project including developing and coordinating realistic project estimates, plans and metrics Ensure all releases are delivered as per the commitment, meet defined release criteria Collaborate with Product owners and application specialists to groom the product backlog Tracks team progress toward milestones/sprints, using key performance metrics to objectively identify if the team is on track or not Provides both high level and detailed project status and health Serves as a central point of contact for project questions Champion release management practices within the Agile delivery teams such as TDD, BDD, refactoring, value stream mapping, continuous delivery methodologies etc Drive cross-functional team activities and deliverables EXPERIENCE REQUIRED 8+ years of experience in program management of software releases in an agile SW development environment with experience as a Technical Manager MUST HAVE SKILLS 6+ years of total software engineering experience with a thorough understanding of software product development. 3+ years of experience in a software engineering leadership position managing a team of 10-15. Strong application development experience ideally with any of the following: Java, Java Script, Node.Js, Python, .NET etc. Knowledge of AI, NLP, ML, Chat bots will be added advantage. Experience in WebServices using REST, SOAP. Track record of successful collaboration with cross-functional and distributed teams. Strong leadership competencies including the ability to think and act strategically, drive for results, build a high- performance culture and inspire/teach others to perform at higher levels. Experience running projects using agile development principles, with knowledge of industry standard tools and best practices. Demonstrated ability to interface and liaise between technical and non-technical audiences, as well as presenting to executive management. Monitor and report out project progress to all stakeholders periodically. Set the processes for project execution, as appropriate. Excellent organizational abilities and a proven ability in risk management and mitigation. OTHER SKILLS WE'D APPRECIATE This role will likely evolve over time as the company grows and our processes change, so flexibility and ability to adapt are critical More than 3 years of experience as a technical lead Good hands on experience in Java/Javascript programming Exposure/experience at Architect level EDUCATION QUALIFICATION Graduate in Engineering OR Masters in Computer Applications
Conversational AI Engineer ( Kore experience as mandatory) location: Hyderabad Position Overview The Conversational AI Engineer will play a key role in designing, developing, and maintaining intelligent call flows on the Kore.ai platform to automate and enhance the experience of callers into the Zelis contact center. This role will focus on translating business requirements into scalable conversational solutions, leveraging Kore.ai’s tools along with JavaScript customization to create natural, efficient, and accurate interactions. The engineer will collaborate closely with business analysts, product owners, and IT teams to integrate conversational bots with enterprise systems, ensuring high performance, security, and compliance across all solutions. This is a hands-on development role that blends conversational design, technical problem-solving, and enterprise integration to drive innovation in customer experience and operational efficiency. Responsibilities Design, configure, and implement call flows, virtual assistants, and voice bots within the Kore.ai platform. Develop, test, and maintain custom logic using JavaScript for advanced call flow functionality and integrations. Collaborate with business stakeholders to capture requirements and translate them into conversational design specifications. Integrate Kore.ai solutions with enterprise systems (CRM, ticketing, knowledge bases, telephony platforms, etc.) to ensure seamless user experiences. Conduct functional and regression testing of call flows to ensure quality, reliability, and accuracy of automated interactions. Monitor bot performance, analyze data, and recommend improvements to optimize user experience and operational outcomes. Ensure compliance with enterprise standards for data security, privacy, and system reliability. Provide ongoing support, troubleshooting, and enhancements to conversational AI solutions. Stay current with conversational AI trends, Kore.ai product updates, and enterprise automation best practices. Required: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent work experience).
Position: Technical Project Manager/ Tech Lead Location - Hyderabad Candidate is expected to be hands on in web services, server-side experience. Will be analyzing business requirements, would interact with different business teams. Will be a part of the solution design process. Manage execution against project plans and delivery commitments. Planning the releases, working closely with product managers, partners’ teams and engineers. Help ensuring quality and encourage innovation at all levels. RESPONSIBILITIES Coordinate project including developing and coordinating realistic project estimates, plans and metrics Ensure all releasesare delivered as per the commitment, meet defined release criteria Collaborate with Product owners and application specialists to groom the productbacklog Tracks team progress toward milestones/sprints, usingkey performance metricsto objectively identify if the team is on track or not Provides both high level and detailed project status and health Serves as a central point of contactors project questions Champion release management practices within the Agile delivery teams such as TDD, BDD, refactoring, value stream mapping, continuous delivery methodologies etc Drive cross-functional team activities and deliverables EXPERIENCE REQUIRED 10 years of experience in program management of software releases in an agile SW development environment with experience as a Technical Manager MUST HAVE SKILLS 10+ years of total softwareengineering experience with a thorough understanding of softwareproduct development. 3+ years of experience in a software engineering leadership position managing a team of 10-15. Strong application development experience ideally with any of the following: Java, Java Script, Node.js, Python, .NET etc. Knowledge of AI, NLP, ML, Chat bots will be added advantage. Experience in Webservices using REST, SOAP. Track record of successful collaboration with cross-functional and distributed teams. Strong leadership competencies including the ability to think and act strategically, drive for results,build a high- performance culture and inspire/teach others to perform at higher levels. Experience running projects using agile development principles, with knowledge of industry standard tools and best practices. Demonstrated ability to interface and liaise between technical and non-technical audiences, as well as presenting to executive management. Monitor and report out project progress to all stakeholders periodically. Set the processes for project execution, as appropriate. Excellent organizational abilities and a proven ability in risk management and mitigation. OTHER SKILLS WE'D APPRECIATE This role will likely evolve over time as the company grows and our processes change,so flexibility and ability to adapt are critical More than 3 years of experience as a technical lead Good hands on experience in Java/JavaScript programming Exposure/experience at Architect level EDUCATION QUALIFICATION Graduate in Engineering OR Masters in Computer Applications
Job Title: Senior Data Engineer Location: Hyderabad and Bangalore Job Summary We are seeking a highly skilled and experienced Senior Data Engineer to join our growing data engineering team. This role will be instrumental in designing, building, and maintaining scalable data pipelines and architectures to support advanced analytics, data science, and business intelligence functions. The ideal candidate will have deep expertise in Python, SQL, NoSQL databases, Kafka, and cloud-based data platforms, particularly Google Cloud Platform (GCP) and BigQuery. You’ll be responsible for end-to-end data processing from ingestion to transformation, and ensuring high data quality, availability, and performance. Key Skills Required: Python, SQL, NoSQL, Kafkas, ETL, GCP, BigQuery, G-Suite What We’re Looking For Strong hands-on experience with Python and SQL Solid understanding of NoSQL databases and Kafka Experience with GCP (BigQuery, Dataflow, Cloud Storage, etc.) Familiarity with ETL frameworks and data architecture best practices Experience working in a collaborative, fast-paced environment Experience with G-Suite for documentation & collaboration
We’re Hiring – Multiple QA Automation Roles! Location Hyderabad - Hybrid role If you’re passionate about building intelligent, AI-driven automation frameworks and want to be part of a dynamic engineering culture — we’d love to hear from you! We have exciting opportunities open for: 1️⃣ Associate Lead – Automation (Product Engineering) 2️⃣ Associate Lead – Automation (Core Business Services) 3️⃣ Senior QA Engineer – Core Business Services 🔹 What You’ll Do: Design, develop, and maintain automation frameworks using Playwright with C# and Java. Implement AI-based automation for predictive testing, defect detection, and optimization. Work closely with QA, Dev, and Product teams to drive automation strategy. Integrate test automation into CI/CD pipelines (Azure DevOps, Jenkins). Mentor team members and contribute to best practices. 🔹 What We’re Looking For: Strong hands-on experience with Playwright (C# and Java). Experience in UI / API / Backend automation. Exposure to AI/ML-based testing tools. Familiarity with CI/CD, cloud-based testing, and BDD frameworks (SpecFlow/Cucumber). (Bonus) Background in US Healthcare domain – EDI, HIPAA, claims, or payments processing. 🌐 Preferred Tech Stack & Tools: Playwright | C# | Java | Azure DevOps | Jenkins | SpecFlow | Docker | Kubernetes If you’re an automation engineer looking to take your career to the next level — combining AI innovation with end-to-end automation — this is the perfect opportunity for you!
We’re Hiring – Multiple Golang Backend Engineer Roles! Location: Hyderabad and Bangalore Experience Level: 5+ years We’re looking for a passionate Golang Backend Engineer to join our growing engineering team! You’ll design and build scalable backend systems that power our products and deliver exceptional user experiences. Job Description: Design, develop, and maintain scalable, high-performance backend systems using Go (Golang). Lead system design and architecture discussions for new and existing microservices. Write clean, efficient, and testable Go code, following best practices and idiomatic patterns. Collaborate closely with product managers, frontend engineers, and DevOps teams to deliver end-to-end features. Optimize applications for performance, scalability, and reliability in distributed environments. Participate in code reviews, maintain high code quality, and mentor junior engineers. Identify and resolve performance bottlenecks and production issues. Quickly ramp up on new technologies, business domains, and codebases. Contribute to improving CI/CD pipelines, development workflows, and automation processes. Key Skills: Strong experience with Go and its concurrency model (goroutines, channels). Familiarity with microservices architecture, REST/gRPC APIs, and cloud platforms (AWS, GCP, or Azure). Hands-on experience with Docker, Kubernetes, and CI/CD tools. Solid understanding of databases (SQL & NoSQL) and message brokers (Kafka, RabbitMQ, NATS). Knowledge of observability tools such as Prometheus, Grafana, and OpenTelemetry.
As a QA Automation Engineer at our company, you'll have the opportunity to work on building intelligent, AI-driven automation frameworks. If you are passionate about automation and want to be part of a dynamic engineering culture, we encourage you to apply for the following roles: **Roles Available:** 1. Associate Lead - Automation (Product Engineering) 2. Associate Lead - Automation (Core Business Services) 3. Senior QA Engineer - Core Business Services **Key Responsibilities:** - Design, develop, and maintain automation frameworks using Playwright with C# and Java. - Implement AI-based automation for predictive testing, defect detection, and optimization. - Collaborate closely with QA, Dev, and Product teams to drive automation strategy. - Integrate test automation into CI/CD pipelines (Azure DevOps, Jenkins). - Mentor team members and contribute to best practices. **Qualifications Required:** - Strong hands-on experience with Playwright (C# and Java). - Proficiency in UI, API, and Backend automation. - Exposure to AI/ML-based testing tools. - Familiarity with CI/CD, cloud-based testing, and BDD frameworks (SpecFlow/Cucumber). If you are an automation engineer looking to advance your career by combining AI innovation with end-to-end automation, this is the perfect opportunity for you! **Preferred Tech Stack & Tools:** - Playwright - C# - Java - Azure DevOps - Jenkins - SpecFlow - Docker - Kubernetes Don't miss out on the chance to be a part of our team and contribute to cutting-edge automation solutions. Apply now and take the next step in your career!,
We are seeking a skilled and motivated Backend Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, SQL, and REST APIs, with experience working with Google APIs and Google Cloud Platform (GCP). As a Backend Engineer, you will play a crucial role in developing, maintaining, and optimizing our backend services and systems Responsibilities : Backend Development : Design, develop, and maintain robust and scalable backend systems using Python. Implement efficient algorithms and data structures to optimize performance. Database Management : Develop and manage SQL databases, including schema design, query optimization, and data integrity. API Integration : Create and manage RESTful APIs for seamless integration with frontend applications and external services. Ensure APIs are secure, efficient, and well-documented. Google APIs & GCP : Utilize Google APIs to enhance application functionality and leverage GCP services for cloud-based solutions, including compute, storage, and database management. Collaboration : Work closely with frontend developers, product managers, and other stakeholders to understand requirements and deliver high-quality solutions. Code Quality : Write clean, maintainable, and well-documented code. Participate in code reviews and adhere to best practices and coding standards. Troubleshooting & Optimization : Identify and resolve performance bottlenecks, bugs, and issues. Continuously monitor and optimize system performance. Documentation : Maintain comprehensive documentation for backend systems, APIs, and processes to facilitate knowledge sharing and onboarding. Qualifications : Technical Skills : Proficiency in Python for backend development. Strong experience with SQL and relational databases. Solid understanding of RESTful API design and development. Hands-on experience with Google APIs and Google Cloud Platform (GCP). Familiarity with version control systems, such as Git. Experience : Years of experience in backend development with a focus on Python, SQL, and REST APIs. Demonstrated experience working with Google APIs and GCP services. Proven track record of delivering scalable and reliable backend systems. Soft Skills : Excellent problem-solving skills and a proactive attitude. Strong communication and collaboration abilities. Ability to work effectively in a fast-paced, team-oriented environment.
Job Description: We are seeking a developer with strong Python programming skills to build and optimize data connectors. The ideal candidate should have experience in developing efficient, scalable code and possess excellent communication skills to collaborate effectively with the team. Responsibilities: Develop and maintain data connectors Optimize code for performance and scalability. Collaborate with team members to understand data requirements and deliver solutions. Troubleshoot and resolve issues in existing connectors. Requirements: Strong expertise in Python and data engineering concepts . Experience in building ETL pipelines or data integration solutions . Ability to write efficient, clean, and maintainable code . Strong communication skills to effectively coordinate with stakeholders.