Backend Lead / Architect Cloud Architect Join Our Cutting-Edge AI Team! Experience: 8-12 Location: Pune Job Type: Full-time(Hybrid) Position Overview We are looking for a highly skilled Backend Lead / Architect to design, develop, and maintain scalable, reliable, and high-performance backend solutions for our multi-tenant SaaS products . This role requires expertise in distributed systems, microservices, and cloud architectures , with a proven ability to handle production issues at scale . You will collaborate closely with the AI Lead and Frontend Lead to ensure seamless integration of backend services, AI/ML pipelines, and front-end functionalities delivering a robust, secure, and feature-rich experience to our customers . Key Responsibilities: System Architecture Design Define and implement the overall backend architecture for multi-tenant SaaS applications , ensuring scalability, high availability, security, and compliance . Design microservices, RESTful APIs, GraphQL APIs, and WebSockets in alignment with front-end and AI requirements. Establish design patterns and best practices for code modularity, performance optimization, and scalability. Scalability Performance Identify performance bottlenecks and optimize strategies ( caching, load balancing, message queues , etc.). Implement and maintain monitoring/observability solutions (Prometheus, Grafana, Loki, ELK Stack) for real-time insights and rapid incident response. Establish performance baselines, conduct stress tests , and implement disaster recovery strategies . Production Stability Issue Resolution Proactively monitor production environments , anticipating potential failures and bottlenecks . Triage, diagnose, and resolve production incidents with minimal downtime , using robust logging, tracing, and on-call rotation strategies . Conduct root cause analysis (RCA) and post-mortems, implementing preventative measures . Collaboration Cross-Functional Coordination Work closely with the AI team to integrate MLOps pipelines , ensuring smooth data flow and secure model deployment . Collaborate with the Frontend team to provide well-defined API contracts , enabling efficient UI/UX development . Partner with DevOps to define CI/CD pipelines, container orchestration (Docker, Kubernetes), and Infrastructure-as-Code (Terraform, CloudFormation) practices. Team Leadership Mentorship Lead and mentor a team of backend developers, setting clear goals and providing technical guidance . Perform code reviews to ensure high code quality, maintainability, and adherence to best practices . Foster a culture of continuous learning , encouraging the adoption of new technologies, tools, and methodologies . Security Compliance Implement secure coding practices and follow industry standards ( OWASP Top 10 ). Ensure data privacy and regulatory compliance (e.g., HIPAA, GDPR ). Oversee authentication/authorization frameworks (OAuth, JWT) and data encryption at rest and in transit (SSL/TLS, AES encryption) . Documentation Maintain comprehensive technical documentation , including architecture diagrams, APIs, database schemas, and operational runbooks . Conduct knowledge-sharing sessions and handovers for seamless onboarding of new team members. Qualifications: Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field . Experience: 8+ years of backend or full-stack development experience , with at least 3 years in a technical lead or architect role . Proven experience in leading delivering large-scale distributed systems in production . Technical Expertise: Languages Frameworks: Proficiency in Python and frameworks such as Django, FastAPI . Database Systems: Strong knowledge of SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) , including data modeling query optimization . Microservices Architecture: Hands-on experience with microservices, containerization (Docker, Kubernetes), and service mesh architectures . Cloud Platforms: Experience with AWS, Azure , and Google Cloud for deployment, scaling, and monitoring. CI/CD DevOps: Familiarity with CI/CD pipelines, Git workflows, infrastructure-as-code (Terraform, CloudFormation), and automated testing . Monitoring Observability: Proficiency with Prometheus, Grafana, ELK Stack, Loki for real-time monitoring and log analysis. Soft Skills: Leadership: Ability to lead teams, manage conflicts, and drive backend architecture vision . Communication: Strong written and verbal communication skills to coordinate with cross-functional teams (AI, Frontend, QA, Product). Problem-Solving: Analytical mindset for troubleshooting complex issues in high-pressure environments. Collaboration: Demonstrated ability to work seamlessly across multiple teams and stakeholders . Preferred Qualifications: AI/ML Integration: Experience with MLOps practices for model deployment monitoring . Domain Knowledge: Experience working in Healthcare, FinTech, or other highly regulated industries (HIPAA, GDPR compliance). Cloud Certifications: AWS, Azure, or Google Cloud certifications . Join us and lead the architecture of next-gen scalable, high-performance backend systems! Apply Now to be a part of a fast-growing, tech-driven team. APPLY FOR THIS POSITION Full Name Email Phone LinkedIn URL (Optional) Introduce yourself (Optional) + Attach Resume I to being contacted by Reliable Group about similar job offers in the future. I have read and understand Trustworthy: An AI newsletter for the modern business Not just news, insights from decades in emerging tech. We wont send you spam. Unsubscribe at any time. Manage consent

Experience: 5-8 years Location: Pune Job Type: Full-time ( Hybrid ) Position Overview: We are looking for a QA Automation Engineer to design, optimize, and drive automation frameworks while enhancing testing strategies. You ll play a critical role in automating test scenarios, mentoring teams, conducting PoCs , and solving automation challenges. This role requires a strong product and mobile app testing mindset , ensuring scalable, efficient, and high-quality test execution . While automation is the primary focus, manual testing will also be required for critical releases. You ll work closely with development, product, and DevOps teams in a fast-paced, product-driven environment to ensure seamless and reliable software releases . Key Responsibilities: Automation Framework Development Optimization Develop enhance test automation frameworks for mobile web applications . Identify gaps in existing frameworks and optimize for scalability performance . Standardize best practices and reusable automation components . Develop UI, API, and backend automation scripts using Selenium, Appium, Cypress, Playwright, TestNG , or similar tools. Ensure seamless integration with CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc.). Execute automated test scripts for feature validation, bug fixes, and regression scenarios . Testing Strategy Implementation Perform functional, regression, smoke, and sanity testing using automation. Automate mobile app testing (iOS Android) using Appium or similar tools. Develop API automation scripts using Postman, RestAssured, or Karate . Implement data-driven, keyword-driven, and hybrid testing frameworks. Execute cross-browser and cross-device testing for stability across environments. Mentorship Upskilling the Team Coach mentor QA teams on best practices in automation. Conduct training sessions workshops to transition manual testers into automation roles. Advocate for automation-first approaches across QA development teams. PoCs Problem-Solving Conduct Proof of Concepts (PoCs) for evaluating new automation tools frameworks . Solve complex automation challenges like test data management, flaky test handling, and execution time optimization . Explore AI-driven test automation and self-healing automation methodologies. Experiment with headless browser testing and cloud-based automation (BrowserStack, Sauce Labs, LambdaTest). Manual Testing Quality Assurance Perform exploratory manual testing for critical releases and edge-case scenarios . Identify, document, and track defects using JIRA, TestRail, or similar tools . Collaborate with developers product teams in Agile sprints for early defect detection. Required Skills and Experience: Automation Framework Expertise Proven experience in building optimizing automation frameworks from scratch . Programming Knowledge Proficiency in Java, Python, JavaScript, or C# for automation scripting. Test Automation Tools Hands-on experience with Selenium, Appium, Cypress, Playwright, TestNG, JUnit, Postman, RestAssured . CI/CD Integration Expertise in Jenkins, GitHub Actions, Bitbucket Pipelines for test automation in CI/CD workflows. Mobile App Testing Strong experience in testing native hybrid mobile apps using real devices emulators . Mentorship Leadership Ability to train guide teams in automation best practices. PoC Problem-Solving Experience in evaluating new automation technologies and conducting proof-of-concepts (PoCs) . Agile DevOps Experience working in Agile/Scrum environments with an understanding of DevOps culture . Nice To Have Skills: Knowledge of performance load testing tools (JMeter, Gatling). Experience in security testing or penetration testing . Hands-on experience with cloud-based testing (BrowserStack, Sauce Labs). Familiarity with BDD frameworks (Cucumber, SpecFlow). Join us and be a key player in shaping automation strategies while working on exciting, high-impact projects! Apply Now if you re passionate about automation and looking to make a significant impact in the QA space. APPLY FOR THIS POSITION Full Name Email Phone LinkedIn URL (Optional) Introduce yourself (Optional) + Attach Resume I to being contacted by Reliable Group about similar job offers in the future. I have read and understand Trustworthy: An AI newsletter for the modern business Not just news, insights from decades in emerging tech. We wont send you spam. Unsubscribe at any time. Manage consent

Experience: 8-10 years (Minimum 2 years in Generative AI) Location: Pune / Mumbai Job Type: Hybrid Position Overview: We are looking for a highly skilled AI Lead to drive Generative AI (GenAI) innovations while overseeing a team of AI Engineers with 4-6 years of experience each. This role requires hands-on expertise in building AI production systems , optimizing performance, and ensuring seamless consumption, serving, guardrails, and monitoring of AI models.. Key Responsibilities: Team Leadership Technical Mentorship Lead, mentor, and architect solutions for a team of AI engineers. Provide technical guidance on AI, ML, Data Engineering, and Generative AI best practices. AI Strategy Execution Design and deploy AI/ML solutions , ensuring performance optimization and reduced hallucinations in LLM-based applications . Oversee AI projects, from RD to production , ensuring timely delivery. Guide the team in selecting AI frameworks, tools, and methodologies . Cross-Team Collaboration Work closely with Product Management, Backend, Frontend, and QA teams to integrate AI solutions into business applications. Ensure seamless MLOps adoption for deployment, monitoring, and model lifecycle management. Innovation AI Advancements Stay updated on Generative AI, Large Language Models (LLMs), and emerging AI/ML trends . Implement state-of-the-art NLP, text processing, and multi-level prompt engineering strategies. Quality Documentation Maintain comprehensive AI model documentation, best practices, and performance tracking . Implement AI evaluation mechanisms to measure model performance and bias mitigation . Required Skills and Qualifications: Education: Bachelor s or Master s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: 8-10 years of AI/ML experience, with at least 3 years in a technical lead role . Minimum 2 years in Generative AI domain with expertise in LLMs, Prompt Engineering, and AI model deployment . Technical Skills: Strong Python expertise for AI/ML development. Proficiency in ML frameworks : TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with Generative AI models and applications. MLOps AI Deployment: Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, GCP) . AI Model Performance Optimization: Model tuning, prompt chaining, multi-level prompting. Data Engineering Knowledge: Handling structured/unstructured data for ML applications. Proven experience in leading AI teams in production environments. Soft Skills: Strong team management, problem-solving, and analytical thinking . Excellent communication and collaboration skills across teams. Preferred Qualifications: Experience in Generative AI evaluation metrics and AI model performance tracking . Expertise in containerization (Docker, Kubernetes) . Deep knowledge of Prompt Engineering techniques (tokenization, injection attacks, templatization, chaining). APPLY FOR THIS POSITION Full Name Email Phone LinkedIn URL (Optional) Introduce yourself (Optional) + Attach Resume I to being contacted by Reliable Group about similar job offers in the future. I have read and understand Trustworthy: An AI newsletter for the modern business Not just news, insights from decades in emerging tech. We wont send you spam. Unsubscribe at any time. Manage consent

Python AI Engineer Experience: 4+ years Location: Pune / Mumbai Job Type: Hybrid (Mon-Wed-Fri) Position Overview: Join our cutting-edge Generative AI lab as a Python AI Engineer and contribute to pioneering AI solutions. In this role, you will develop and implement AI functionalities, leveraging machine learning, natural language processing (NLP), and generative AI to drive impactful insights from structured and unstructured data. Key Responsibilities: Design, develop, and deploy AI/ML models and data pipelines from proof-of-concept to production. Research and experiment with Generative AI, LLMs (Large Language Models), and emerging AI techniques. Enhance AI pipelines into scalable, production-ready solutions for seamless user experience. Collaborate with cross-functional teams, including product, data science, and engineering for integration and optimization. Stay updated on AI advancements, cloud technologies, and industry trends to drive innovation. Required Skills and Qualifications: 4+ years of experience in AI, ML, or Data Science with expertise in Python. Strong experience with ML libraries (e.g., Scikit-Learn, TensorFlow, PyTorch) and SQL. Knowledge of cloud platforms (Azure, AWS, GCP) and vector databases (Pinecone, FAISS, ChromaDB). Hands-on experience in NLP, text processing, semantic parsing, and sentiment analysis. Understanding of data preparation, model training, hyperparameter tuning, and model evaluation. Prior experience with Generative AI, Large Language Models (LLMs), and Prompt Engineering is a plus. Strong problem-solving, analytical thinking, and ability to work independently with minimal supervision. APPLY FOR THIS POSITION Full Name Email Phone LinkedIn URL (Optional) Introduce yourself (Optional) + Attach Resume I to being contacted by Reliable Group about similar job offers in the future. I have read and understand Trustworthy: An AI newsletter for the modern business Not just news, insights from decades in emerging tech. We wont send you spam. Unsubscribe at any time. Manage consent