10 Cloud-Native Architecture Jobs

Solution Architect (India) Work Mode: Remote/ Hybrid Required exp: 10+ years Shift timing: Minimum 4 hours overlap required with US time Role Summary: The Solution Architect is responsible for designing robust, scalable, and high- performance AI and data-driven systems that align with enterprise goals. This role serves as a critical technical leaderbridging AI/ML, data engineering, ETL, cloud architecture, and application development. The ideal candidate will have deep experience across traditional and generative AI, including Retrieval- Augmented Generation (RAG) and agentic AI systems, along with strong fundamentals in data science, modern cloud platforms, and full-stack integration. Key Responsibilities: ? Design and own the end-to-end architecture of intelligent systems including data ingestion (ETL/ELT), transformation, storage, modeling, inferencing, and reporting. ? Architect GenAI-powered applications using LLMs, vector databases, and RAG pipelines; Agentic Workflow, integrate with enterprise knowledge graphs and document repositories. ? Lead the design and deployment of agentic AI systems that can plan, reason, and interact autonomously within business workflows. ? Collaborate with cross-functional teams including data scientists, data engineers, MLOps, and frontend/backend developers to deliver scalable and maintainable solutions. ? Define patterns and best practices for traditional ML and GenAI projects, covering model governance, explainability, reusability, and lifecycle management. ? Ensure seamless integration of ML/AI systems via RESTful APIs with frontend interfaces (e.g., dashboards, portals) and backend systems (e.g., CRMs, ERPs). ? Architect multi-cloud or hybrid cloud AI solutions, leveraging services from AWS, Azure, or GCP for scalable compute, storage, orchestration, and deployment. ? Provide technical oversight for data pipelines (batch and real-time), data lakes, and ETL frameworks ensuring secure and governed data movement. ? Conduct architecture reviews, mentor engineering teams, and drive design standards for AI/ML, data engineering, and software integration. Qualifications : ? Bachelors or Masters degree in Computer Science, Engineering, or a related field. ? 10+ years of experience in software architecture, including at least 4 years in AI/ML-focused roles. Required Skills: ? Expertise in machine learning (regression, classification, clustering), deep learning (CNNs, RNNs, transformers), and NLP. ? Experience with Generative AI frameworks and services (e.g., OpenAI, LangChain, Azure OpenAI, Amazon Bedrock). ? Strong hands-on Python skills, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch. ? Proficiency in RESTful API development and integration with frontend components (React, Angular, or similar is a plus). ? Deep experience in ETL/ELT processes using tools like Apache Airflow, Azure Data Factory, or AWS Glue. ? Strong knowledge of cloud-native architecture and AI/ML services on either one of the cloud AWS, Azure, or GCP. ? Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and semantic search patterns.? Experience in deploying and managing ML models with MLOps frameworks (MLflow, Kubeflow). ? Understanding of microservices architecture, API gateways, and container orchestration (Docker, Kubernetes). ? Having forntend exp is good to have. Show more Show less

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience with cloud-native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Ability to communicate in English fluently to support client relationships. Preferred qualifications: Experience working with the small and medium business segment. Experience prospecting, building, and maintaining new customer relationships, with a passion for building out Greenfield territories. Knowledge of systems management concepts (e.g., image management, patching, automated deployment, etc.). Knowledge of security concepts such as encryption, identity management, access control, attack vectors, and pen testing. Responsibilities: Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Share knowledge to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering with product management to prioritize solutions impacting customer adoption to Google Cloud. Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution on Google Cloud. Lead prospecting and acquisition of new logos, creating and building customer relationships.

Job Summary: We are looking for a highly experienced Technical Architect with a deep understanding of cloud-native architecture, scalable microservices, and secure SaaS platforms. The ideal candidate will have strong expertise in AWS (primary) and a solid command of backend and full-stack technologies such as Java, Python, Node.js, and TypeScript. You will drive the architectural vision across development, deployment, monitoring, and optimization, ensuring high performance, resilience, and scalability. Key Responsibilities: Design and define end-to-end technical architecture for scalable, cloud-native SaaS applications. Lead the development of microservices, REST/GraphQL APIs, serverless solutions, and event-driven systems. Architect and implement secure and efficient CI/CD pipelines using GitOps and Infrastructure as Code (YAML, Terraform). Guide full-cycle engineering efforts: from design and development to deployment, observability, and optimization. Collaborate with cross-functional teams (DevOps, Product, QA) to ensure alignment with business goals. Promote adoption of security best practices, including OAuth, JWT, and data encryption. Stay ahead of technology trends, including AI-powered development tools like GitHub Copilot or Amazon CodeWhisperer. Provide architectural guidance for media processing workflows (image, 3D, video) and project collaboration platforms when applicable. Maintain system observability and performance using tools like CloudWatch, Prometheus, and Grafana. Qualifications: 8+ years of professional experience in backend and cloud-native application architecture. Strong proficiency in AWS services and infrastructure; exposure to Azure/GCP is a plus. Expertise in Java, Python, Node.js, and TypeScript. Proven experience in working with PostgreSQL, MongoDB, and DynamoDB. Deep understanding of serverless computing, microservices, and containerized platforms (e.g., Docker, Kubernetes). Familiarity with GitOps workflows, YAML, Terraform, and Infrastructure as Code practices. Strong knowledge of security protocols and authentication mechanisms. Preferred Qualifications : Cloud certifications such as AWS Solutions Architect or equivalent. Hands-on experience with GitHub Copilot, Amazon CodeWhisperer, or similar AI-based developer tools. Exposure to media processing workflows (image, 3D, video) or collaboration/project management tools. Experience with GraphQL and event-driven architectures. Knowledge of system monitoring tools such as CloudWatch, Prometheus, and Grafana.

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities : - Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. - Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. - Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. - Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. - Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. - Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements : - Proven experience as a senior software or data engineer, with a strong backend focus. - Advanced proficiency in Python, demonstrated through real-world projects. - Practical experience with backend technologies and frameworks. - Strong knowledge of CI/CD frameworks and DevOps practices. - Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. - Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. - Experience with Docker and Kubernetes for containerization and orchestration. - AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. - Data engineering experience is a strong advantage.

Proven PO/TPO experience in cloud/Dev Ops. Hands-on with Azure Dev Ops, Terra form, Kubernetes, CI/CD & IaC. Strong in Agile & stakeholder mg mt. .NET/C# & Azure certs a plus. Drive infra automation & cloud-native initiatives.

Overview: We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities: Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements: Proven experience as a senior software or data engineer, with a strong backend focus. Advanced proficiency in Python, demonstrated through real-world projects. Practical experience with backend technologies and frameworks. Strong knowledge of CI/CD frameworks and DevOps practices. Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. Experience with Docker and Kubernetes for containerization and orchestration. AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. Data engineering experience is a strong advantage. Note: an AI Engineer with strong expertise in Natural Language Processing (NLP) and Computer Vision. Additionally, they should have in-depth knowledge of the Azure cloud platform and its full suite of services.

Experience: more than 8 years Location: Hyderabad Employment Type: Full-Time Work Mode: Work from Office (WFO) Working Days: 5 days week Job Summary: We are looking for a highly skilled Software Architect with strong experience in .NET backend development and deep expertise in cloud-native architecture on Microsoft Azure . You will lead the design and development of scalable, secure, and high-performing enterprise applications. This role demands technical leadership, hands-on backend coding experience, and a deep understanding of software architecture principles. Key Responsibilities: Design and implement scalable and maintainable backend architecture using .NET (C#) technologies. Define technical architecture, integration patterns, and cloud deployment strategies aligned with business goals. Develop architectural documentation, design patterns, and best practices. Lead and mentor development teams in implementing architectural standards and coding practices. Work closely with DevOps teams to design CI/CD pipelines and ensure smooth deployments on Azure Cloud . Make strategic decisions on cloud infrastructure, containerization, APIs, and microservices architecture. Evaluate and recommend tools, technologies, and frameworks for use across the platform. Ensure performance, security, and resilience standards are met in all architectural designs. Required Skills & Qualifications: Minimum 8 years of software development experience with strong focus on . NET Core / ASP.NET / C# . Proven experience designing backend architectures for enterprise-grade applications . Hands-on experience with Azure services including App Services, Azure Functions, Azure DevOps, and Key Vault. Strong knowledge of RESTful APIs , microservices , and event-driven architectures . Familiarity with DevOps practices and tools like GitHub Actions, Azure DevOps, Terraform/Bicep. Solid understanding of design patterns, SOLID principles , and software modelling (UML) . Experience with containerization (Docker) and orchestration (Kubernetes/Azure Kubernetes Service) is a plus. Excellent problem-solving skills and the ability to make sound architectural decisions. Strong communication and leadership skills, with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications: Microsoft Certified: Azure Solutions Architect Expert or equivalent certifications. Experience in Agile Environments and working with cross-functional teams. Exposure to frontend frameworks (e.g., React/Angular) is a bonus, but not mandatory. Interested individual can email their updated resume to anubrata.roy@cloudangles.com along with following details: Total Years of experience (in years): Relevant Experience in .NET Technologies (in years): Experience as a Solution Architect (in years): Notice Period: Current CTC: Expected CTC: Thanks & Regards, Anubrata Roy

Requirements: Our client is seeking a skilled Engineering Manager/Engineering Lead with proven growth journey from a developer to a lead role in fast-paced IT product companies. The ideal candidate should possess a robust blend of both advanced technical skills and effective people management capabilities. Desired Technical Skillset 1. Full Stack Development Expertise - Frontend: Strong command over React.js, and responsive UI/UX design principles. - Backend: - Expertise in Java (Spring Boot) for building scalable, secure microservices. - Proficient in Python and Scala for backend processing, scripting, and data handling. - API Design: Experience designing and consuming RESTful and GraphQL APIs; familiarity with OpenAPI/Swagger. 2. Database & Storage Systems - Deep experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB) databases. - Sound data modeling skills and understanding of database normalization and performance optimization. 3. Data Engineering - Designing and building robust ETL/ELT data pipelines using tools like Python, PySpark, Apache Spark, Airflow, Kafka. 4. AI/ML Application Experience - Understanding of applied machine learning concepts (classification, prediction, clustering, NLP). - Experience working with ML pipelines using scikit-learn, TensorFlow, PyTorch, or Spark MLlib. - Working knowledge of model deployment, monitoring, and integration into production systems. 5. Cloud & DevOps Proficiency - Experience with cloud platforms: AWS (preferred), Azure, or GCP. - Familiarity with CI/CD pipelines, Docker, Kubernetes, Terraform, and monitoring tools (e.g., Prometheus, Grafana). - Secure cloud-native architecture and compliance with HIPAA and HITRUST standards. Desired Leadership & Management Skills 1. Team Leadership & Growth - Proven experience in managing cross-functional engineering teams (515 people). - Capable of hiring, mentoring, and performance-managing engineers across levels. - Strong belief in fostering a culture of inclusion, innovation, and accountability. 2. Strategic Execution - Ability to translate business goals into engineering strategy, roadmap, and deliverables. - Excellent at prioritization, resource planning, and agile execution (Scrum/Kanban). 3. Stakeholder Management - Comfortable collaborating with product managers, architects, data scientists, and business leaders. - Able to clearly communicate technical decisions to non-technical stakeholders. 4. Healthcare Industry Knowledge - Familiarity with payer-side healthcare systems, including: - Claims adjudication, provider networks, member eligibility, EHR integration. - Standards such as HL7, FHIR, X12/EDI (837, 835, 834). - Knowledge of regulatory frameworks: CMS mandates, ACA, Medicaid/Medicare reporting, risk adjustment. 5. Security, Privacy & Compliance - Deep understanding of data privacy regulations (HIPAA, SOC II, HiTrust, etc.). - Experience conducting security reviews, access control, and data governance in healthcare settings.

Job Summary: We are looking for a highly experienced Technical Architect with a deep understanding of cloud-native architecture, scalable microservices, and secure SaaS platforms. The ideal candidate will have strong expertise in AWS (primary) and a solid command of backend and full-stack technologies such as Java, Python, Node.js, and TypeScript. You will drive the architectural vision across development, deployment, monitoring, and optimization, ensuring high performance, resilience, and scalability. Key Responsibilities: Design and define end-to-end technical architecture for scalable, cloud-native SaaS applications. Lead the development of microservices, REST/GraphQL APIs, serverless solutions, and event-driven systems. Architect and implement secure and efficient CI/CD pipelines using GitOps and Infrastructure as Code (YAML, Terraform). Guide full-cycle engineering efforts: from design and development to deployment, observability, and optimization. Collaborate with cross-functional teams (DevOps, Product, QA) to ensure alignment with business goals. Promote adoption of security best practices, including OAuth, JWT, and data encryption. Stay ahead of technology trends, including AI-powered development tools like GitHub Copilot or Amazon CodeWhisperer. Provide architectural guidance for media processing workflows (image, 3D, video) and project collaboration platforms when applicable. Maintain system observability and performance using tools like CloudWatch, Prometheus, and Grafana. Qualifications: 8+ years of professional experience in backend and cloud-native application architecture. Strong proficiency in AWS services and infrastructure; exposure to Azure/GCP is a plus. Expertise in Java, Python, Node.js, and TypeScript. Proven experience in working with PostgreSQL, MongoDB, and DynamoDB. Deep understanding of serverless computing, microservices, and containerized platforms (e.g., Docker, Kubernetes). Familiarity with GitOps workflows, YAML, Terraform, and Infrastructure as Code practices. Strong knowledge of security protocols and authentication mechanisms. Preferred Qualifications : Cloud certifications such as AWS Solutions Architect or equivalent. Hands-on experience with GitHub Copilot, Amazon CodeWhisperer, or similar AI-based developer tools. Exposure to media processing workflows (image, 3D, video) or collaboration/project management tools. Experience with GraphQL and event-driven architectures. Knowledge of system monitoring tools such as CloudWatch, Prometheus, and Grafana. Location- Pan India, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

In one sentence We are seeking a Java Full Stack Architect & People Manager with strong technical depth and leadership capabilities to lead our Java Modernization projects. The ideal candidate will possess a robust understanding of Java Full Stack, Databases and Cloud-based solution delivery , combined with proven experience in managing high-performing technical teams. This role requires a visionary who can translate business challenges into scalable distributed solutions while nurturing talent and fostering innovation. What will your job look like? Lead the design and implementation of Java Full Stack solutions covering Frontend, Backend and Batch processes & interface Integrations across business use cases. Translate business requirements into technical architectures using Azure/AWS Cloud Platforms . Manage and mentor a multidisciplinary team of engineers, Leads and Specialists . Drive adoption of Databricks , Python In addition to Java-based frameworks within solution development. Collaborate closely with product owners, data engineering teams, and customer IT & business stakeholders. Ensure high standards in code quality, system performance, and model governance . Track industry trends and continuously improve the technology stack adopting newer trends showcasing productization, automation and innovative ideas. Oversee end-to-end lifecycle: use case identification, PoC, MVP, production deployment, and support. Define and monitor KPIs to measure team performance and project impact. All you need is... 13+ years of overall IT experience with a strong background in Telecom domain (preferred). Proven hands-on experience with Java Full Stack technologies and Cloud DBs Strong understanding of Design Principles and patterns for distributed applications OnPrem as well as OnCloud . Demonstrated experience in building and deploying on Azure or AWS via CI/CD practices . Strong expertise in Java, Databases, Python, Kafka and Linux Scripting . In-depth understanding of cloud-native architecture , microservices , and data pipelines . Solid people management experience: team building, mentoring, performance reviews. Strong analytical thinking and communication skills. Ability to be Hands-On with Coding, Reviews while Development and Production Support Good to Have Skills: Familiarity with Databricks, PySpark Familiarity of Snowflake Why you will love this job: You will be challenged with leading and mentoring a few development teams & projects You will join a strong team with lots of activities, technologies, business challenges and a progression path You will have the opportunity to work with the industry most advanced technologies.