We are seeking an AWS Architect to lead the orchestration, design, and delivery of complex product initiatives supporting our clients' growth, who are a leading Insurance company in the UK.
This role requires a hands-on technical leader who can drive architectural excellence, ensure adherence to engineering and enterprise standards, and optimise the efficiency of engineering delivery. You will play a critical role in shaping the technical vision, mentoring engineers, and ensuring seamless execution across the development lifecycle.
Responsibilities:
1. Guide development teams with hands-on expertise in AWS serverless architectures (Lambda, API Gateway, DynamoDB, Step Functions, S3, SNS/SQS, Cognito, etc.).
2. Actively contribute to back-end development using Python, ensuring best practices in clean code and performance optimization.
3. Support front-end architecture and implementation using Angular, ensuring a seamless and scalable user experience.
4. Ensure robust CI/CD pipelines, infrastructure as code (IaC), and deployment automation practices.
Key Skills & Qualifications:
1. 10+ years of experience in software engineering, with significant exposure to technical leadership and architecture.
2. Proven expertise in AWS serverless architectures, including hands-on experience with key services.
3. Strong proficiency in Python for backend development.
4. Experience building scalable front-end applications using Angular.
5. Deep understanding of software design patterns, microservices architecture, and cloud-native principles.
6. Hands-on experience with CI/CD pipelines, infrastructure as code (IaC) tools (e.g., Terraform, AWS CDK, or CloudFormation).
7. Strong problem-solving skills, with an ability to navigate complex technical challenges.
8. Excellent communication skills, capable of bridging the gap between business, product, and engineering teams.
Nice-to-Have:
1. Experience with Event-Driven Architecture using AWS services (SNS, SQS, EventBridge).
2. Knowledge of GraphQL, WebSockets, or real-time data streaming.
3. Exposure to DevOps and observability practices (e.g., Prometheus, Datadog, AWS CloudWatch, OpenTelemetry).
4. Prior experience in leading distributed engineering teams.
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