Site Reliability Engineer - AWS

Responsibilities

• Automate infrastructure and operational workflows using Infrastructure as Code (IaC) with Terraform and AWS CDK.
• Develop and optimize CI/CD pipelines using Amazon CodeBuild, GitHub Actions, and Terraform Enterprise to improve software delivery for large-scale distributed systems.
• Implement and maintain observability solutions using Datadog and AWS CloudWatch to establish real-time monitoring and proactive incident response.
• Ensure high availability and performance of relational and time series databases (PostgreSQL/QuestDB), including replication, failover strategies, and query optimization.
• Deploy and maintain in-memory caching systems (Redis).
• Deploy and maintain distributed SQL databases (i.e. CockroachDB, YugabyteDB)
• Develop and enforce system reliability best practices by implementing SLOs/SLIs, automated recovery processes, and post-mortem analysis.
• Leverage Apache Airflow to automate workflow orchestration and support engineering teams.
• Manage and support distributed event streaming platforms (Apache Kafka)
• Assist with automating integrations and workflows across Slack, Jira, and other operational tools to improve team efficiency and response times.
• Implement security best practices for IAM, networking, and encryption to maintain a robust security posture and regulatory compliance.
• Help with maintaining high code quality standards using tools such as Sonarqube
• Ensure high code quality standards are maintained with the assistance of tools like Sonarqube

Qualifications

• Extensive experience with AWS, including EC2, ECS, S3, RDS, Lambda, MWAA, API Gateway, Route53, SSM, EFS, Backup, DynamoDB, Cloudfront, VPC, CodeBuild, CodePipeline, CodeArtifact, Config, Elasticache, and networking components in a highly available environment.
• Strong programming and automation skills in Python, including building CLI tools or automation scripts for infrastructure operations.
• Proven experience with event streaming (i.e. Kafka/Kinesis).
• Deep understanding of distributed systems architecture, fault tolerance, disaster recovery, and performance tuning.
• Hands-on experience with observability and monitoring tools such as Datadog, ELK, CloudWatch.
• Proven track record managing infrastructure with Terraform or AWS CDK, and optimizing CI/CD pipelines with Amazon CodePipeline, GitHub Actions, or Terraform Enterprise.
• Experience managing and optimizing relational databases, including schema management and query performance tuning.
• Strong background in incident management, system reliability, and operational leadership, with experience conducting root cause analysis and implementing reliability improvements.
• Preferred experience in financial systems, low-latency trading, prime brokerage, or similar high-performance environments.