Description

Our client is multi‑strategy investment firm operating highly sophisticated, data‑driven trading platforms, and we are seeking a Site Reliability Engineer to help elevate the reliability and performance of the core systems. We are seeking a Site Reliability Engineer to build and embed our SRE philosophy, processes, and tooling from the ground up. In this role, you will define standards, influence best practices across our Core Data Services team, and work closely with our DevOps and Cloud teams to drive adoption and consistency.

You will take a hands‑on approach across both cloud and on‑prem environments, ensuring the reliability, performance, and scalability of our trading systems and production platforms. This is an opportunity to play a pivotal role in modernizing our operational capabilities and elevating performance across diverse environments.

Key Responsibilities

• Define, promote, and embed SRE best practices to build a scalable and resilient infrastructure foundation.
• Enhance and extend observability and monitoring capabilities using Prometheus, Grafana, Loki, and Tempo to deliver comprehensive visibility into system and application performance.
• Take part in the on‑call rotation (approximately one week per month) to ensure continuous operational support.
• Establish and evolve reliability standards for applications running within Kubernetes, fine‑tuning configurations for optimal performance, cost efficiency, and durability.
• Build automation and internal tools to streamline deployment processes, improve health checks, and strengthen recovery and failover routines.

Requirements

• 5+ years of experience in SRE or related roles supporting complex, distributed systems.
• Bachelor's degree in computer science, engineering, information systems, or equivalent practical experience.
• Expertise with observability stacks including Prometheus, Grafana, Loki, and Tempo/OTEL.
• Strong proficiency with Kubernetes orchestration and Docker containerization.
• Hands‑on experience with cloud environments (AWS preferred) and on‑premises infrastructure.
• Skilled in Python, Bash, or Go for automation and tool development.
• Solid understanding of CI/CD practices, agile workflows, and DevOps principles.
• High initiative, strong attention to detail, and a passion for reliability engineering.
• Excellent communication skills, including the ability to simplify and explain technical concepts to a wide range of stakeholders.
• Experience working with databases (PostgreSQL, Redis, Snowflake), messaging technologies (Kafka, Solace), and/or workflow orchestration tools such as Airflow.