Cloud Systems Architect
4 days ago
Fideo Intelligence provides crucial intelligence to protect people, businesses, and communities. Our mission is to deliver trusted intelligence to power real-time identity verification and fraud protection.
Job Summary
We are seeking a highly skilled Senior Platform Engineer to join our team. As a Senior Platform Engineer, you will focus on creating reliable, high-performance systems that power our fraud detection platform. Your work will ensure that our real-time data systems and APIs are resilient, fast, and scalable under load.
Key Responsibilities
* Design and optimize real-time data pipelines and streaming systems for low latency and high throughput.
* Develop scalable microservices to handle high volumes of requests with reliability and fault tolerance.
* Maintain and enhance real-time data ingestion and delivery systems using tools like Kafka and ClickHouse.
* Diagnose and resolve issues in distributed systems, optimizing performance across all layers.
* Build and maintain monitoring and alerting systems to ensure platform reliability.
* Manage infrastructure changes and CI/CD pipelines with a DevOps-first mindset.
Requirements
* 6+ years of engineering experience, with a focus on real-time systems and platform engineering.
* Expertise in building and scaling microservices using Java, Scala, or GoLang.
* Strong experience with streaming platforms like Kafka and event-driven architectures.
* Proficiency with NoSQL databases such as ClickHouse, Scylla, or Cassandra.
* Experience with traditional RDBMS systems like MySQL or Postgres.
* Deep knowledge of debugging distributed systems and diagnosing issues in real-time applications.
* Strong understanding of networking, including DNS, load balancing, and latency optimization.
* Expertise in AWS cloud services and deploying cloud-native services.
* Skilled in CI/CD pipelines and containerization tools like Docker, Kubernetes, or ECS.
* Proficiency in infrastructure-as-code tools like Terraform.
* Familiarity with observability tools such as Grafana, Prometheus, or PagerDuty.
* Excellent communication skills and ability to document technical processes clearly.
About the Role
This role emphasizes hands-on engineering and system-level problem-solving. You'll be responsible for designing and optimizing real-time pipelines, debugging distributed systems, and building high-throughput microservices to support billions of data points. Whether tackling latency issues, scaling APIs, or implementing new observability tools, you'll play a key role in ensuring the reliability of our platform.
About Compensation
The estimated salary range for this role is $140,000 - $165,000 per year, depending on location and experience. We offer a comprehensive benefits package, including medical, dental, and vision coverage, as well as a monthly reimbursement for recurring home office expenses.
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