Software Engineer III developing platforms for a real-money prediction and trading app. Designing core infrastructure and ensuring system stability while mentoring mid-level engineers.
Responsibilities
Implement team-level standards for AI-augmented development, utilizing prompt engineering and validation frameworks to increase velocity without sacrificing code quality.
Identify and mitigate AI-generated code pitfalls, such as security vulnerabilities or over-abstraction, and assist in tracking team productivity metrics.
Design, build, and maintain highly available cloud-native infrastructure, ensuring the platform scales reliably with our growing user base.
Build and optimize CI/CD pipelines and developer tooling to eliminate friction in the software delivery lifecycle.
Implement and maintain platform security safeguards and compliance standards to protect the integrity of the firm’s systems.
Contribute to the system observability roadmap by implementing monitoring, tracing, and alerting to ensure high operational reliability.
Partner with product and engineering teams to translate technical requirements into scalable platform solutions.
Mentor junior and mid-level engineers, lead incident response for team-owned services, and advocate for modern engineering best practices.
Requirements
5 plus years of experience in platform engineering, DevOps, or backend engineering, with a track record of building scalable, cloud-native environments (AWS/Kubernetes).
Strong proficiency in using AI collaborators (Claude Code, Cursor, Copilot) to ship production code and an ability to optimize personal development workflows.
Ability to evaluate AI-generated code for security gaps or architectural "hallucinations" and implement rigorous testing strategies.
Strong hands-on experience with IaC frameworks such as **Terraform**, Pulumi, or CloudFormation.
High proficiency in Java and Python (Golang is a plus). You should be comfortable bridging the gap between infrastructure and application logic.
Experience building mature CI/CD pipelines and working with observability tools (e.g., Prometheus, Grafana, Datadog).
Proven ability to take ownership of complex projects in a fast-paced environment, balancing speed with architectural health.
Strong communication skills and the ability to collaborate effectively with distributed engineering and product teams.
Benefits
Fully remote candidates based in the United Kingdom
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