platform engineer for legal AI

Clio
London, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Code Generation Databases Continuous Integration Software Debugging Distributed Data Store Github Linux System Administration MySQL Prometheus Software Engineering
+10 more
Datadog Scripting Cloud Platform System Grafana Kubernetes Infrastructure Automation Frameworks Deployment Automation Machine Learning Operations Cloud Optimization Terraform

Job description

Описание:Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. It is transforming the legal experience by improving the lives of legal professionals and increasing access to justice.Задачи:Design, build, and maintain AWS infrastructure supporting production environments;Implement and evolve Infrastructure-as-Code using Terraform;Collaborate with developers to improve CI/CD pipelines, deployment strategies, and developer experience;Enhance observability and reliability through alerting, monitoring, and incident response;Collaborate on cloud optimization projects to improve performance, cost efficiency, and security posture;Mentor and guide team members;Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems;Define agentic patterns for building, deploying, and observing cloud infrastructure.Требования:Experience designing, deploying, and

Requirements

operating AWS infrastructure and managed services such as RDS, EKS, and Lambda at scale; Expertise with Terraform and infrastructure automation; Strong coding foundation beyond scripting, with experience in application development or designing and building robust automation frameworks and tooling; Experience with container orchestration and cluster management; Experience with CI/CD systems such as Buildkite and GitHub Actions; Experience with relational or non-relational datastores in production; Familiarity with observability platforms such as Datadog, Prometheus, and Grafana; Familiarity with Linux systems administration, networking, and troubleshooting; Excellent communication and documentation abilities, with a focus on knowledge sharing and team collaboration; Growth mindset toward process improvement and new technologies, especially AI; Nice to have: Experience with Kubernetes (EKS) on AWS in production environments, expertise in managing and securing cloud environments at scale, experience using AI to accelerate code generation and infrastructure debugging, prior experience in platform engineering or developer productivity teams, experience working with software teams building and shipping applications to the cloud, hands-on experience managing and scaling distributed data stores such as MySQL/Aurora, including database bottleneck troubleshooting and backup and disaster recovery strategies.Условия:Competitive, equitable salary;25 Days holiday plus bank holidays;Private Healthcare with Life Insurance and Critical Illness cover;Pension contribution;Professional development and growth options;Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years. #J-18808-Ljbffr

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