Senior Reliability Engineer

Job Description

The customer develops and deploys systematic financial strategies across a variety of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on exploiting market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a sustainable, global investment platform.

The role is to help set up centralized DevOps and help existing teams adopt more centralized best practices. The ideal candidate will have the ability to manage complexity and tackle problems across multiple stack layers as a part of a small team championing operational excellence.

Our environment is relaxed yet intellectually intense. Our teams are lean and agile, which means rapid prototyping of products with immediate user feedback. We seek people who think in code, aspire to solve undiscovered computer science challenges, and are motivated by being around like-minded people. In fact, of the 600 employees globally, approximately 500 of them code daily.

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Requirements:

• Linux systems: Deep expertise and hands-on experience working with Linux-based systems, with a focus on optimization and troubleshooting;

• Python proficiency: Strong skills in Python for scripting, automation, and system management;

• Containerization & orchestration: In-depth knowledge of container orchestration technologies such as Kubernetes (K8S). Experience with other cluster management tools like Slurm is a plus;

• Infrastructure as Code (IaC): Hands-on experience with tools like Helm, Terraform, and Ansible to manage infrastructure in a scalable and automated way;

• Container technologies: Strong working knowledge of Docker, Podman, or other containerization systems to enable efficient and consistent deployment;

• CI/CD pipelines: Experience working with CI/CD tools, especially GitLab (preferred), GitHub, or Git, to ensure smooth and rapid delivery cycles;

• Monitoring & logging: Experience with monitoring and logging solutions such as Prometheus, Grafana, and the ELK stack to provide comprehensive insights into system performance and health;

• Relational databases: Understanding of relational databases, their performance tuning, and management in distributed systems;

• Agile development: Familiarity with Agile development methodologies, with a focus on continuous improvement and collaboration;

• Cloud experience: Exposure to cloud technologies such as AWS or Google Cloud (GCP) is a strong plus;

• Collaboration & communication: A team-first attitude with excellent verbal and written communication skills in English, able to work collaboratively with peers across the organization.

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Responsibilities:

• Architecture and automation: Design and deploy as-a-service solutions using open-source software to automate system management, scaling, and monitoring;

• System optimization: Develop tools to streamline deployment, monitoring, and incident management for large-scale, distributed environments;

• Collaboration across teams: Work with Development and Operations teams to design and implement software solutions that enhance the overall reliability of services. Contribute to the ongoing DevOps and Agile transformation;

• Monitoring & incident response: Set up, configure, and maintain monitoring and alerting systems to ensure real-time visibility into system performance. Participate in on-call rotations to respond to incidents and mitigate downtime;

• CI/CD & infrastructure management: Continuously improve CI/CD pipelines using tools like GitLab, Helm, Terraform, and Ansible, ensuring fast, safe, and reliable deployments;

• Container orchestration: Leverage container orchestration platforms like Kubernetes (K8S) to manage distributed systems at scale. Experience with Slurm or similar cluster management is a plus;

• Cloud and automation tools: Use cloud infrastructure (AWS, GCP, etc.) and Infrastructure as Code (IaC) tools to automate the provisioning and scaling of resources.

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What We Offer:

• USD monthly payment;

• 100% remote opportunity;

• 10 business days of paid vacation per year (can be taken after 6 months in Customertimes);

• Up to 10 national holidays (either US or country of residence);

• 5 personal days off (can be taken after 3 months in Customertimes);

• Travel expenses are covered when applicable;

• Referral program;

• Paid certification program;

• Personalized personal development plan (PDP);

• Access to the language learning platform.

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