Technology Architect | Data On Cloud - Platform | AWS
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Role details
Tech stack
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Requirements
Strong experience with infrastructure-as-code (Terraform preferred, CloudFormation acceptable) Experience with production monitoring, alerting, and incident response at scale Experience with cost monitoring and optimization in AWS environments Experience with containerization (Docker) and CI/CD pipelines (GitLab CI preferred) Experience with event-driven architectures and messaging systems (e.g., Kafka, SNS/SQS, EventBridge) Proficiency with Linux-based operating systems and shell scripting Experience managing and mentoring engineering teams Demonstrated ability to make independent technical decisions and triage production issues without escalation Understanding of data pipeline architectures (batch and streaming) and common failure modes Understanding of networking fundamentals: DNS, CIDR, NAT, VPC endpoints, firewalls, security groups Proficiency in Python (or a comparable general-purpose language) for building automation, tooling, and applications Solid software engineering fundamentals: Git-based workflows, code review, modular and reusable design, dependency management, and writing maintainable, documented code Experience writing automated tests (unit/integration) for application and infrastructure code, and integrating those tests into CI/CD Ability to write integration code against REST APIs and cloud SDKs (e.g., AWS SDK / boto3) Minimum Years of Experience: 8+ years Certifications Needed: None Top 3 responsibilities you would expect the Subcon to shoulder and execute: AWS, DevOps practices, Python development, and Kafka-based streaming solutions. Automate infrastructure provisioning and configuration management using Infrastructure as Code IaC. Design and manage eventdriven architectures leveraging Apache Kafka Implement containerization and orchestration solutions using Docker and Kubernetes. Ensure platform compliance, governance, and security best practices
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