Site Reliability Engineer

Tempest Vane Partners; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Tempest Vane Partners seeks an experienced Infrastructure Engineer to join a high-calibre platform engineering team in London. You will design, build, and automate scalable infrastructure supporting research, analytics, and trading across an international platform.

The role focuses on cloud-native and distributed systems, automation, platform reliability, and observability. You will collaborate with global teams to improve infrastructure delivery and system performance.

Qualifications

• Strong scripting or software engineering capability using Python, Golang, Bash, or similar.
• Deep understanding of Kubernetes and container-based infrastructure.
• Experience with Terraform, Ansible, Puppet, or equivalent automation tooling.
• Knowledge of hybrid infrastructure and distributed systems environments.
• Familiarity with observability and monitoring technologies such as Prometheus, Grafana, ELK, or Jaeger.
• Exposure to data streaming or workflow technologies including Kafka or Airflow.
• Strong troubleshooting capability with a focus on automation and reliability engineering.

Responsibilities

• Engineering and maintaining enterprise-scale Kubernetes environments.
• Supporting the evolution toward cloud-native and distributed architectures.
• Driving automation initiatives across infrastructure and operational workflows.
• Developing and promoting Infrastructure-as-Code best practices.
• Enhancing platform stability, availability, and system performance.
• Contributing to monitoring, observability, and incident response capabilities.
• Partnering with global engineering teams on platform improvements and technical delivery.

Skills

Python

Golang

Bash

Kubernetes

Terraform

Ansible

Puppet

Observability

Kafka

Airflow

Reliability engineering

Tools

Prometheus

Grafana

ELK

Jaeger

Job description

London | Hedge Fund | Permanent

The Client

Tempest Vane Partners has partnered with a globally recognised investment management business seeking an experienced Infrastructure Engineer to join a high-calibre platform engineering team in London.

The Role

This opportunity sits within a technology-driven organisation where engineering is fundamental to business performance. The successful candidate will work on highly scalable infrastructure supporting large-scale research, analytics, and trading environments across an international platform.

The position offers significant exposure to modern cloud-native engineering, distributed systems, automation, and platform reliability initiatives within a fast-moving and technically sophisticated environment.

The Opportunity

The incoming engineer will play a key role in the design, improvement, and automation of critical infrastructure systems across both cloud and on-premise environments.

Working closely with infrastructure, development, and platform teams, the role will focus heavily on scalability, resilience, observability, and operational efficiency.

Core responsibilities will include:

• Engineering and maintaining enterprise-scale Kubernetes environments
• Supporting the evolution toward cloud-native and distributed architectures
• Driving automation initiatives across infrastructure and operational workflows
• Developing and promoting Infrastructure-as-Code best practices
• Enhancing platform stability, availability, and system performance
• Contributing to monitoring, observability, and incident response capabilities
• Partnering with global engineering teams on platform improvements and technical delivery

Candidate Requirements

Successful candidates are likely to demonstrate experience across several of the following areas:

• Strong scripting or software engineering capability using Python, Golang, Bash, or similar
• Deep understanding of Kubernetes and container-based infrastructure
• Experience with Terraform, Ansible, Puppet, or equivalent automation tooling
• Knowledge of hybrid infrastructure and distributed systems environments
• Familiarity with observability and monitoring technologies such as Prometheus, Grafana, ELK, or Jaeger
• Exposure to data streaming or workflow technologies including Kafka or Airflow
• Strong troubleshooting capability with a focus on automation and reliability engineering