TECEZE
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Information Technology Support Services · 51 to 200 Employees · London, United Kingdom
Hiring: Engineering
What employees say
+ Great learning opportunities – The company provides good opportunities to learn new technologies, gain practical experience, and develop skills for career growth. Good for freshers
− Workload can sometimes be high – During busy project periods, managing multiple activities and deadlines can be challenging. Career growth can vary by project – Learning and growth
More reviews on the company profile.
Interview experience · Business Development Manager
I recently interviewed for a position at Teceze and successfully cleared two initial rounds. I was invited for a final, in-person interview, for which I arrived 15 minutes early. Unfortunately, the experience was highly
Average difficulty · Chennai · 16 reports
More interview insightsJob description
Overview
🚀 Hiring: AWS Cloud Engineer – Generative AI / ML
Responsibilities
- Design and develop cloud-native applications on AWS
- Build GenAI solutions using Bedrock, SageMaker and Bedrock AgentCore
- Develop AI agents and multi-agent workflows
- Implement RAG and LLM-based applications
- Build scalable event-driven solutions using Lambda, SQS, SNS, EventBridge and Step Functions
- Design REST APIs, microservices and serverless applications
- Work with RDS, Aurora, DynamoDB and S3
- Build and automate CI/CD pipelines
- Implement AI observability, monitoring, evaluation, guardrails and responsible AI practices
Qualifications
- 🎯 Relevant Experience: 6+ years
- 📍 Location: Gurgaon / Noida
- 🕑 Shift: 2:00 PM – 10:30 PM
- 💼 Role: AWS Cloud Engineer
- AWS Amazon Bedrock, SageMaker & Bedrock Agent Core
- Generative AI / ML on AWS
- Python
- CI/CD & Infrastructure as Code (IaC)
- REST APIs & Microservices
- Serverless Architecture
- Cloud-Native Architecture & Distributed Systems
- RAG, LLM-based applications & AI Agents
- LangChain / LangGraph
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Job application FAQ
Last updated 30 September 2026
- How do I apply for AWS Cloud Engineer – Generative AI / ML at TECEZE?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. TECEZE may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AWS Cloud Engineer – Generative AI / ML role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AWS Cloud Engineer – Generative AI / ML remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AWS Cloud Engineer – Generative AI / ML role at TECEZE?
- This is a mid-level AWS Cloud Engineer – Generative AI / ML role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.