Galaxi Consulting Group
Cloud Architect
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🚀 Hiring: Senior AWS Solution Architect – London | Telecom
📍 Location: London, UK
🏢 Client Domain: Telecom
💼 Role: Senior AWS Solution Architect
⏳ Experience: 10+ Years
☁️ AWS Experience: 7+ Years
Employment Type: Full-Time
📌 Job Summary
We are looking for a Senior AWS Solution Architect to join a leading Telecom client in London.
The ideal candidate should have 10+ years of overall technology experience, including 7+ years of hands-on AWS experience, with a strong track record of designing and implementing enterprise-scale cloud-native solutions.
The role requires a combination of expertise across AWS Cloud Architecture, Application Modernization, Microservices, Serverless, Security, Networking, DevOps, Data Platforms and AI/LLM Engineering.
Candidates with experience in Telecom / Communications environments and large-scale distributed platforms will be highly preferred.
🔑 Key Responsibilities
- Design end-to-end cloud-native and AI-powered solutions on AWS aligned with the AWS Well-Architected Framework.
- Architect serverless, event-driven and microservices-based platforms for enterprise-scale telecom workloads.
- Design scalable solutions covering High Availability, Disaster Recovery, resilience, performance and cost optimization.
- Architect RAG, Agentic AI and Multi-Agent systems, including orchestration, tool calling and state management.
- Lead architecture reviews, technical design discussions and architectural decision-making.
- Design multi-account AWS environments, networking and security architectures.
- Define LLMOps, AI evaluation, guardrails, observability and prompt/context engineering practices.
- Architect modern Data Lake and analytics platforms using Iceberg, Spark, Glue, Athena, Redshift and Kafka/MSK.
- Define distributed-system integration patterns using APIs, asynchronous messaging, EventBridge, SQS/SNS and Step Functions.
- Drive Infrastructure as Code using Terraform, CDK and CloudFormation.
- Define CI/CD and DevSecOps architecture using GitLab CI/CD, Jenkins, Docker and Kubernetes.
- Provide technical guidance to engineering teams across Python, API design and distributed data processing.
- Define observability, disaster recovery and performance optimization strategies.
- Work closely with telecom business stakeholders, engineering teams, DevOps, data/ML engineers and customers.
- Support pre-sales activities including solution estimation, architecture documentation, technical proposals and POCs.
- Mentor engineering teams on cloud-native and AI architecture best practices.
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🛠️ Mandatory Technical Skills
AWS:
- EC2, VPC, IAM, S3, Lambda, API Gateway, ECS, EKS, Step Functions, EventBridge, SQS, SNS, DynamoDB, RDS, Aurora, Redshift, Athena, Glue, EMR, CloudFront, Route 53, CloudWatch, CloudTrail, KMS, Secrets Manager.
Architecture:
- AWS Well-Architected Framework, Enterprise Cloud Architecture, Application Modernization, Microservices, Serverless, Event-Driven Architecture, Distributed Systems, HA/DR, Scalability, Performance & Cost Optimization, Multi-Account AWS.
AI / LLM:
- RAG, Agentic RAG, Agentic AI, AI Agents, Multi-Agent Systems, LangChain, LangGraph, LangSmith, Prompt Engineering, Context Engineering, LLMOps, FastAPI, AWS Bedrock, Amazon SageMaker.
DevOps / IaC:
- Terraform, AWS CDK, CloudFormation, Docker, Kubernetes, Git, GitLab CI/CD, Jenkins, IaC, CI/CD, DevSecOps.
Security & Networking:
- IAM, KMS, VPC, Transit Gateway, Direct Connect, VPN, Security Groups, NACLs, WAF, Shield, GuardDuty, Security Hub, AWS Config, Encryption, Zero Trust, Compliance.
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Development:
- Python, SQL, API Design, Design Patterns, OOP, Async Programming.
Data & Analytics:
- Data Lake, Apache Iceberg, Apache Spark, ETL/ELT, Parquet, Glue Data Catalog, Athena, Redshift, Kafka/Amazon MSK.
🎯 Mandatory Experience
- 10+ years overall experience in software engineering, cloud engineering or solution architecture.
- 7+ years hands-on AWS experience.
- Strong experience designing enterprise-scale AWS cloud architectures.
- Experience with multi-account, serverless and event-driven architectures.
- Strong knowledge of AWS security, networking and compliance.
- Hands-on experience with RAG, Agentic AI and/or Multi-Agent AI architectures.
- Practical experience with LangChain / LangGraph / LangSmith.
- Experience with LLMOps, AI evaluation, prompt/context engineering and observability.
- Strong experience with modern data platforms and distributed data processing.
- Experience leading architecture reviews, migration and modernization initiatives.
- Strong stakeholder management and technical leadership skills.
- Telecom domain experience is highly preferred.
- Strong communication skills with the ability to work with UK-based stakeholders and enterprise customers.
🌟 Why This Role?
- Join a major Telecom transformation programme in London, working on modern AWS, AI, data and cloud-native architectures at enterprise scale.
Interested? Share your updated CV with:
- Total Experience
- AWS Experience
- AI/LLM Experience
- Telecom Experience
- Current Location
- Notice Period
- Right to Work / Visa Status
- Expected Salary / Rate
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