Job Overview: We are seeking a highly skilled AWS Data Engineer to design, develop, and maintain scalable, secure, and efficient ETL pipelines using AWS serverless technologies. The ideal candidate will have deep experience working with AWS Glue, Lambda, API Gateway, S3, and RDS , with a focus on building robust data workflows and secure APIs. This is a hands-on role requiring a solid understanding of data ingestion, orchestration, and API authentication mechanisms. Key Responsibilities: Design, build, and manage ETL pipelines using AWS Glue and related AWS services. Develop serverless data workflows integrating AWS Lambda , API Gateway , S3 , and RDS . Build and maintain job orchestration using tools like Step Functions and CloudWatch Events . Collaborate with backend engineering teams to integrate data from multiple structured and unstructured sources. Optimize Glue job performance and troubleshoot data flow issues. Implement best practices for a secure, scalable, and cost-effective AWS infrastructure. Ensure API authentication and secure data access via IAM, Lambda Authorizers, and JWT/OIDC standards. Must-Have Skills: Proven hands-on experience with AWS Glue , Lambda , API Gateway , S3 , and RDS . Solid understanding of ETL pipeline development , data transformation , and workflow orchestration . Familiarity with event-driven architecture and integration patterns . Strong experience with IAM , CloudWatch , Step Functions , and resource monitoring. Excellent troubleshooting skills for diagnosing data pipeline issues and optimizing performance. Authentication & Security Expertise: Implementation of authentication for API Gateway and Lambda integrations. Deep understanding of: IAM-based authentication using AWS Signature V4 for secure service-to-service communication. Lambda Authorizer (Custom Authorizer) for custom logic-based access control. JWT-based authorization with OpenID Connect (OIDC) providers. Experience securing APIs using resource policies , CORS configurations , and fine-grained access controls . Show more Show less
Responsibilities: Architectural Design: Engage with Business Stakeholders to understand the requirements and translate it into a scalable, robust Solution Design which will encompass Data Modelling, API Design, Infrastructure Design and App Integration. Experience in building multi-tenant applications will be an added advantage. Cloud First Approach: Design and implement cloud solutions using Azure native resources, including PaaS, SaaS, and IaaS. Collaboration: Work closely with cross-functional teams, including developers, product managers, and operations staff, to ensure seamless integration and alignment with business objectives. Security and Compliance: Ensure that Solution Design is reviewed and approved by the Enterprise Architecture Team and InfoSec team by meeting the compliance requirement standards. Technical Leadership: Be the Technical SME during Requirements Gathering, Issue Triaging meetings, 3rd Party Software evaluations Skills Required: Strong hands-on experience in Implementing Microservice based Solutions Expertise in Azure services like Azure Kubernetes Service (AKS), Azure Functions, Azure Blob Storage, Azure SQL, Azure APIM, Application Gateways Good understanding of OWASP Vulnerabilities and their remediation Strong understanding of microservices architecture principles, containerization (e.g., Docker, Kubernetes), and API design. Hands on experience in working with various design and modelling tools such as Visio, Draw.io, Lucidchart, Erwin Key Responsibilities: Design cloud-native architectures using Azure PaaS/IaaS (AKS, Functions, APIM, Blob, SQL, etc.) Lead API, data, and infrastructure design Ensure security and compliance (OWASP, InfoSec) Collaborate with cross-functional teams and act as technical SME Must-Have: Hands-on experience with microservices and containerization (Docker, Kubernetes) Strong Azure expertise Familiarity with architecture tools (Visio, Draw.io, Lucidchart) Nice to Have: Azure/Cloud Architect certification Exposure to EPC domain Knowledge of TOGAF ADM
As an Architectural Designer, your primary responsibility will be to engage with Business Stakeholders to gather requirements and translate them into scalable and robust Solution Designs. This will involve Data Modelling, API Design, Infrastructure Design, and App Integration. Having experience in building multi-tenant applications will be advantageous for this role. You will be expected to follow a Cloud First Approach by designing and implementing cloud solutions using Azure native resources, including PaaS, SaaS, and IaaS. Collaboration is key in this role as you will closely work with cross-functional teams such as developers, product managers, and operations staff to ensure seamless integration and alignment with business objectives. Security and Compliance are critical aspects of the job, and you will need to ensure that Solution Designs meet compliance requirements by obtaining approval from the Enterprise Architecture Team and InfoSec team. Additionally, you will provide technical leadership by acting as the Subject Matter Expert during Requirements Gathering, Issue Triaging meetings, and 3rd Party Software evaluations. Key skills required for this role include strong hands-on experience in implementing Microservice based Solutions, expertise in Azure services like Azure Kubernetes Service (AKS), Azure Functions, Azure Blob Storage, Azure SQL, Azure APIM, and Application Gateways. A good understanding of OWASP Vulnerabilities, microservices architecture principles, containerization (e.g., Docker, Kubernetes), and API design is also necessary. Moreover, hands-on experience with design and modelling tools such as Visio, Draw.io, Lucidchart, and Erwin will be beneficial. Your key responsibilities will involve designing cloud-native architectures using Azure PaaS/IaaS (AKS, Functions, APIM, Blob, SQL, etc.), leading API, data, and infrastructure design, ensuring security and compliance (OWASP, InfoSec), and collaborating with cross-functional teams while acting as a technical SME. Must-have qualifications for this role include hands-on experience with microservices and containerization (Docker, Kubernetes), strong expertise in Azure, and familiarity with architecture tools like Visio, Draw.io, Lucidchart. Additionally, having an Azure/Cloud Architect certification, exposure to EPC domain, and knowledge of TOGAF ADM would be considered nice-to-have for this position.,
About the Role: We are looking for a passionate and skilled AI Engineer with hands-on experience in Python , Generative AI , and Large Language Models (LLMs) to design, develop, and deploy intelligent applications. The ideal candidate will have practical knowledge of speech-to-text systems , open-source LLMs , cloud platforms (Azure, Google Cloud), and Agentic AI frameworks (LangGraph, Google Agent Kit, NVIDIA AI, etc.). Key Responsibilities: Develop, fine-tune, and integrate Generative AI and LLM-based solutions for business use cases. Build and optimize speech-to-text pipelines using open-source and cloud-based APIs. Implement agent-based AI systems leveraging tools like LangGraph , Google Agent Kit , or Crew AI . Deploy AI workloads on Azure AI Services and Google Cloud AI environments. Integrate AI features into existing products using Python , APIs, and SDKs. Work with open-source LLMs (LLaMA, Mistral, Falcon, etc.) for fine-tuning and inference. Collaborate with cross-functional teams to align AI solutions with business goals. Stay updated with advancements in Generative AI , Agentic AI , and related frameworks. Required Skills & Qualifications: Programming: Strong in Python (AI/ML libraries like Transformers, LangChain, Hugging Face). GenAI & LLMs: Experience with fine-tuning, prompt engineering, and deployment. Speech-to-Text: Knowledge of Whisper, Vosk, Azure Cognitive Speech, or similar. Open-Source AI Models: LLaMA, Mistral, Falcon, Gemma, etc. Cloud Platforms: Azure AI, Google Cloud AI (Vertex AI). Agentic AI: Familiarity with LangGraph, Crew AI, Google Agent Kit, NVIDIA AI tools. Understanding of AI pipelines , APIs , and vector databases (Pinecone, Weaviate, Chroma). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities.