Simplex Services
Senior AWS Solution Architect
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Senior AWS Solution Architect / Senior AWS Data Developer
Job Summary
We are looking for a Senior AWS Solution Architect with 10+ years of experience in designing and implementing enterprise-scale cloud solutions, including 7+ years of hands-on experience with AWS. The ideal candidate should possess strong expertise in cloud architecture, application modernization, microservices, serverless computing, security, networking, and DevOps — combined with practical experience in AI engineering (RAG, Agentic AI, LangChain, LangGraph, LLMOps, and prompt/context engineering). Ability to lead solution design, architect AI-powered data platforms, and provide technical guidance throughout the project lifecycle.
Job Details
- Client Domain: Telecommunications
- Employment Type: Contract (Inside IR35 considered)
- Contract Duration: 1 Year
- Location: London, UK
- Work Mode: Hybrid (3 Days Week / Office)
Key Responsibilities
- Design end-to-end cloud-native and AI-powered solutions on AWS, aligned with business objectives and the Well-Architected Framework
- Define solution architecture for serverless, event-driven, and microservices-based platforms covering scalability, HA, DR, and cost optimization
- Architect RAG and Agentic AI systems— including multi-agent orchestration, tool-calling, and state management
- Lead architecture reviews, design discussions, and technical decision-making across data, AI, and infrastructure workloads
- Design multi-account AWS architectures with networking (Transit Gateway, VPC, Direct Connect), security (IAM, KMS, Zero Trust), and compliance controls
- Establish LLMOps practices — model evaluation pipelines, AI guardrails, observability (LangSmith), and prompt/context engineering standards
- Define data platform architecture — Data Lake, Apache Iceberg, Spark/Glue ETL, streaming (Kafka/MSK), and analytics (Athena, Redshift)
- Design integration patterns across distributed systems — event-driven, async messaging, API orchestration, and workflow automation (Step Functions)
- Drive Infrastructure as Code adoption (Terraform, CDK, CloudFormation) and CI/CD pipeline architecture (GitLab CI, Jenkins, DevSecOps)
- Guide development teams on implementation — resolve complex technical challenges in Python, API design, and distributed data processing
- Define observability, disaster recovery, and performance optimization strategies across all solution layers
- Collaborate with business stakeholders, developers, DevOps, ML engineers, and customers to deliver resilient, cost-effective solutions
- Support pre-sales — solution estimation, architecture documentation, technical proposals, and proof-of-concept delivery
- Mentor engineering teams on cloud-native best practices, AI engineering patterns, and architectural thinking
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Required Skills
AWS Services: 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, Cloud Architecture, Application Modernization, Microservices, Serverless Architecture, Event-Driven Architecture, Distributed Systems, Integration Patterns, High Availability, Disaster Recovery, Scalability, Performance Optimization, Cost Optimization, Multi-Account AWS Architecture.
AI Engineering: LangChain, LangGraph, LangSmith, RAG, Agentic RAG, AI Agents, Multi-Agent Systems, Prompt Engineering, Context Engineering, LLMOps, FastAPI, Badrock, Sagemaker
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Infrastructure & DevOps: Terraform, CloudFormation, AWS CDK, Docker, Kubernetes, Git, GitLab CI/CD, Jenkins, Infrastructure as Code, CI/CD, DevSecOps.
Security & Networking: IAM, VPC, Transit Gateway, Direct Connect, VPN, Security Groups, NACLs, WAF, Shield, GuardDuty, Security Hub, AWS Config, KMS, Encryption, Zero Trust, Compliance.
Development: Python, SQL, API Design, Design Patterns, Object-Oriented Programming, async programming
Data & Analytics: Data Lake, Apache Iceberg, Apache Spark, ETL/ELT, Parquet, Glue Data Catalog, Athena, Redshift, Kafka/MSK.
Required Experience
- 10+ years of experience in software engineering, cloud engineering, or solution architecture
- 7+ years of hands-on experience designing and implementing AWS solutions (multi-account, serverless, event-driven)
- Experience architecting enterprise-scale, cloud-native applications and distributed systems
- Strong knowledge of cloud security (IAM, KMS, Zero Trust), networking (VPC, Transit Gateway), and compliance
- Hands-on experience with AI/LLM solution architecture — RAG, Agentic AI, multi-agent systems (LangChain, LangGraph)
- Experience with LLMOps, prompt/context engineering, AI evaluation, and observability (LangSmith)
- Experience designing data platforms — Data Lake, Apache Iceberg, Spark, Glue, Athena, streaming (Kafka/MSK)
- Experience leading technical design, architecture reviews, and cloud migration/modernization initiatives
- Excellent stakeholder management, communication, and technical leadership skill
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