AtCloud Bridge, we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential.
Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we’re expanding globally with new offices in Australia, South Africa, Singapore and Dubai, a strong presence in the Philippines, and our HQ in the UK.
We’ve managed hundreds of cloud migrations, architectural projects, cost optimisations, and support services for a diverse range of customers, from start-ups to public sector organisations.
As an AWS Advanced Partner, we enhance IT experiences for clients across various sectors. If you're ready to make a difference and join an exciting journey with Cloud Bridge and AWS, we want to hear from you.
As a Senior Solution Architect, you’ll work with customers to modernise legacy applications and databases as they migrate to AWS. You will be a technical authority in designing and delivering cloud-native architectures, serverless solutions, application and database modernisation strategies. This role combines hands-on technical work, customer consulting, and practice development, helping us define and scale modernisation offerings.
Key Responsibilities
Customer Engagement & Solution Design
- Engage with customers to understand their legacy application and database environments.
- Define modernisation strategies, focusing on database migration, re-platforming, and serverless adoption.
- Design AWS architectures that are scalable, secure, and cost-optimised.
- Act as a trusted advisor, providing technical leadership to both internal teams and customers.
Database Modernisation & Migration
- Lead modernisation efforts for SQL Server, Oracle, MySQL, PostgreSQL, and NoSQL databases.
- Drive migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and Babelfish for Aurora.
- Implement Amazon RDS, Aurora, DynamoDB, and ElastiCache to replace legacy databases.
- Optimise database performance through sharding, partitioning, and caching strategies.
Cloud-Native & Serverless Adoption
- Architect solutions leveraging AWS Lambda, API Gateway, Step Functions, and EventBridge.
- Support customers in breaking down monolithic applications into microservices.
- Define event-driven and asynchronous processing patterns to improve scalability.
Infrastructure as Code & DevOps
- Automate database deployments using Terraform, AWS CloudFormation, and AWS CDK.
- Integrate database changes into CI/CD pipelines using tools like Flyway or Liquibase.
- Define observability and monitoring strategies using CloudWatch, X-Ray, and Prometheus.
Practice & Team Development
- Contribute to the development of modernisation frameworks, methodologies, and best practices.
- Help shape packaged offerings, including AWS MAP-funded modernisation engagements.
- Mentor junior architects and engineers, fostering a high-performance technical culture.
Required Skills & Experience
Technical Expertise
- AWS Database Services – RDS (PostgreSQL/MySQL/SQL Server), Aurora, DynamoDB, ElastiCache.
- Database Migration – Experience with AWS DMS, SCT, and heterogeneous migrations.
- Infrastructure as Code (IaC) – Terraform, CloudFormation, CDK.
- Cloud-Native & Serverless – AWS Lambda, Step Functions, API Gateway, EventBridge.
- DevOps & CI/CD – GitHub Actions, AWS CodePipeline, database schema versioning (Flyway/Liquibase).
- AI-Powered development experience
Security & Compliance – IAM, KMS, Secrets Manager, AWS Backup, GDPR considerations.
Performance Tuning & Optimisation – Query tuning, indexing, caching, connection pooling.
Consulting & Leadership Skills
- Proven experience in customer-facing solution architecture or technical consulting.
- Strong ability to communicate complex technical concepts to business and technical stakeholders.
- Experience leading technical teams and mentoring engineers.
- Ability to define modernisation roadmaps and business cases.
Desirable Skills (Nice-to-Have)
- Experience with Redshift, Neptune, Timestream, or other AWS data services.
- Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments.
- Familiarity with machine learning & analytics pipelines on AWS.
- Experience working on AWS MAP-funded modernisation projects.
