Platform Engineer

As a Platform Engineer, you will play a pivotal role in designing, implementing, and managing the core infrastructure for our platform. This role spans high-level architecture, DevOps practices, infrastructure-as-code (IaC), and information security, ensuring our platform is secure, scalable, and easy to manage. With your expertise in AWS and proven platform engineering skills, you will help establish a robust microservices ecosystem, an efficient data platform, and a fully automated infrastructure while ensuring observability and operational excellence. With no legacy systems, you’ll have the unique opportunity define and implement a modern tech stack and architecture that will serve as the foundation for our success., * Platform Architecture: Design and implement the foundational platform architecture, focusing on scalability, resilience, and security.

• Infrastructure-as-Code (IaC): Define, implement, and manage infrastructure using tools like Terraform and AWS CloudFormation, ensuring infrastructure is fully automated and repeatable.
• Microservices Infrastructure: Build and support a robust microservices architecture, ensuring seamless deployment, monitoring, and management.
• Continuous Delivery Pipelines: Define and implement CI/CD pipelines for reliable and efficient code delivery.
• Data Platform Engineering: Design data storage, backup, and recovery solutions, ensuring data reliability and scalability.
• Observability Stack: Implement tools for logging, monitoring, alerting, and tracing, ensuring the platform is observable and easy to troubleshoot.
• Information Security: Design and enforce robust security practices, ensuring compliance with industry standards and safeguarding sensitive data.
• Cloud Optimization: Leverage AWS best practices to ensure efficient usage of resources, including cost management and performance tuning.
• Automation: Automate routine operational tasks, scaling infrastructure, and system recovery processes., * Collaboration: Work closely with the small, but high-performing technology in a fast-paced, collaborative environment that values innovation and ownership.
• Growth: As one of the first platform engineers, you’ll have significant opportunities for career development and influence as the company scales.
• Flexibility: Enjoy remote-friendly work and a culture that values work-life balance while driving technical excellence.

• Experience: 5+ years of experience in platform engineering, DevOps, or related roles. Experience in fintech or a fast-paced startup environment is a plus.
• AWS Expertise: Hands-on experience with AWS services, including but not limited to CDK, ECS, S3, Lambda, RDS, CloudWatch, Redshift, and IAM.
• Infrastructure-as-Code: Proficiency in IaC tools like Terraform, AWS CloudFormation, and CDK, with experience designing and managing fully automated infrastructure.
• DevOps Skills: Strong experience in CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI), containerization (Docker), and orchestration (Kubernetes, ECS, or EKS).
• Observability: Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK/EFK Stack, or AWS CloudWatch).
• Information Security: Understanding of security best practices, including network security, IAM policies, and compliance requirements (e.g., ISO 27001).
• Data Platform Skills: Knowledge of data engineering principles, including ETL processes, backups, and distributed data systems. Familiarity with data lakes or warehouses is highly desirable.
• Automation & Scripting: Proficiency in scripting languages (e.g., Python, Bash) for automating tasks and processes.
• Problem Solving: Strong analytical skills and a proven ability to design solutions for complex technical challenges., * Experience building multi-tenant cloud platforms
• Experience with service mesh technologies (e.g., Istio, Linkerd).
• Familiarity with advanced AWS security tools (e.g., AWS Security Hub, GuardDuty).
• Experience implementing disaster recovery (DR) strategies for cloud platforms.
• Knowledge of event-driven architectures using AWS tools like SNS, SQS, or Kinesis.