Urbansoft™

Cloud Engineer

• Build high-performance, low-latency APIs
• Creating and updating data
• Searching and filtering attributes
• Managing identifiers, relationships, and metadata
• Use Amazon API Gateway and AWS Lambda or container-based runtimes
• Implement caching layers for performance
• Develop normalized & optimized PostgreSQL schema
• Implement indexing, partitioning, materialized views, and query tuning
• Create CDC-based sync for downstream systems
• Ensure ACID consistency for transactional workloads
• Build real-time pipelines
• Implement idempotency, deduplication, and real-time validations
• Implement authentication/authorization using AWS IAM, API Keys / OAuth2
• Ensure encryption, auditing, logging, PII compliance
• Implement monitoring using CloudWatch dashboards, X-Ray tracing
• Optimize API performance
• Scale PostgreSQL using Aurora PostgreSQL, read replicas, and connection pooling
• Build secure pipelines using Azure, CloudFormation, docker

AWS Cloud Engineer

Engineer

• Lead the design, implementation, monitoring and continuous improvement of our Elastic-based observability and security stack.
• Take ownership of detection rules, watchers, ML-models, health monitoring of data streams, alerting frameworks, and tracking of data pipeline latency/integration times.
• Architect, deploy, configure and optimise the Elastic Stack.
• Develop and maintain JSON-based configuration files, logic and pipelines.
• Design, build and operationalise machine-learning jobs within Elastic ML.
• Monitor, maintain and improve the health and performance of data-streams ingesting into the Elastic cluster.
• Implement and maintain alerting/notification frameworks.
• Track and report on the integration time between upstream data sources and the Elastic ingestion pipeline.
• Develop dashboards, visualisations and reports in Kibana.
• Collaborate with data engineering, DevOps, security operations, SRE and business stakeholders to define requirements.
• Establish best practices, standards and documentation for JSON rule-configs, watchers, ML-jobs, dashboarding and monitoring.
• Participate in incident-response processes.

AWS Cloud Engineer

Elastic Stack Engineer