Building robust internal platforms and developer tools with expertise in AWS, containerization, and automation. Passionate about improving developer experience through self-service infrastructure, efficient CI/CD pipelines, and modern cloud-native architectures.
Platforms that empower development teams
Platform Engineer with expertise in building scalable infrastructure and developer tooling on AWS. Experienced in creating internal developer platforms, automating workflows, and implementing cloud-native solutions that empower developments. Strong background in both infrastructure-as-code and software development, bridging the gap between development and operations.
Specializing in AWS services, container orchestration (Docker, ECS/Fargate), CI/CD automation (GitLab), and infrastructure-as-code (CloudFormation, Ansible). Proficient in Python development with frameworks like Django, Flask, and FastAPI for building internal tools and automation.
Platform engineering and cloud infrastructure expertise
Implement comprehensive monitoring and alerting systems using CloudWatch, Datadog, and Zabbix. Build custom dashboards, configure automated alerts, and establish observability across infrastructure, applications, and VoIP systems for proactive issue detection.
Design and optimize database solutions using PostgreSQL, MySQL, RDS, and DynamoDB. Implement data warehousing with RedShift, caching strategies with ElastiCache, and database migrations. Ensure high availability, performance tuning, and disaster recovery.
Design and deploy scalable VoIP infrastructure using Kamailio, Asterisk, and FreeSwitch. Build high-performance SIP routing systems, RTP media handling with RTPEngine, and integrate with cloud services for hybrid telephony solutions.
Build scalable message queue systems and event-driven architectures using SQS, NSQ, and MQTT. Design asynchronous processing pipelines, implement pub/sub patterns, and create reliable distributed systems for high-throughput applications.
Build and maintain AWS infrastructure using CloudFormation and CDK. Deploy containerized applications with Docker, ECS, and Fargate. Implement automated CI/CD pipelines with GitLab for continuous delivery and infrastructure automation.
Develop scalable backend services and APIs using Python with Django, Flask, and FastAPI. Build serverless applications with Lambda and API Gateway. Design and implement database solutions with PostgreSQL, MySQL, and DynamoDB.
Technical proficiencies and tools
Let's discuss your platform engineering needs