Apply with hirly
AWS Cloud Engineer
Urbansoft · Sandton, Johannesburg
Upload your resume to see how well you match this job — free, in seconds, no account needed.
Your resume is used only to score it against this job. If you don't create an account, it is deleted within 24 hours.
AWS Cloud Engineer
- MDM (Master Data Management) Build high-performance, low-latency APIs for:
- Creating and updating data
- Searching and filtering attributes
- Managing identifiers, relationships, and metadata
- Use Amazon API Gateway (HTTP/REST APIs) and AWS Lambda or container-based runtimes.
- Implement caching layers (API Gateway cache / Redis via ElastiCache) for performance. Data Layer (PostgreSQL)
- Develop normalized & optimized PostgreSQL schema,
- Implement indexing, partitioning, materialized views, and query tuning.
- Create CDC-based sync for downstream systems as needed.
- Ensure ACID consistency for transactional workloads.
- Real-time Ingestion, Build real-time pipelines using:
- API Gateway + Lambda
- Implement idempotency, deduplication, and real-time validations. Security & Compliance
- Implement authentication/authorization using: •
AWS Iam
- API Keys / OAuth2
- Ensure encryption, auditing, logging, PII compliance (POPIA/GDPR). Observability & Performance
- Implement monitoring using CloudWatch dashboards, X-Ray tracing.
- Optimize API performance
- Scale PostgreSQL using Aurora PostgreSQL, read replicas, and connection pooling. CI/CD & DevOps
- Build secure pipelines using:
- Azure,
- CloudFormation,
- docker Core Technical Skills •
AWS API
Gateway (REST/HTTP), Lambda, Step Functions, EventBridge, SQS, SNS, PostgreSQL,
- PostgreSQL performance tuning & schema design
- js / Python for API development
- AWS serverless and container-based architectures (Fargate/ECS)
- AWS Glue, S3, Glue Catalog, batch
Etl Mdm
concepts:
Must Have
- matching, deduplication, golden record
- Performance tuning at API, DB, and network layers
- Experience in building microservices or APIs using Docker containers