Site Reliability Engineer

AudioStack; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading audio production infrastructure company is seeking a Site Reliability Engineer to enhance developer operations and reliability. This role involves collaborating with cross-functional teams to implement DevOps practices, automate workflows, and support machine learning model deployments. Applicants should have strong experience with observability tools, cloud services, and significant backend experience. AudioStack promotes a flexible work environment with opportunities for growth in the AI audio market.

Benefits

Learning and development opportunities

Hybrid and flexible working hours

Stock options

Diversity and inclusion commitments

Dog-friendly offices

Qualifications

• Minimum 3 years experience in a backend-related role.
• Strong experience with monitoring and observability tools.
• Proficiency with Python, Docker, Kubernetes, and CI/CD workflows.

Responsibilities

• Responding to incidents and stabilizing the platform.
• Investigating performance issues and runtime errors.
• Writing and shipping features for users.

Skills

Monitoring tools

Python

Docker

Kubernetes

CI/CD pipelines

Cloud experience

Tools

Grafana

Prometheus

AWS

Docker

Kubernetes

No-SQL databases

PostgreSQL

CircleCI

Git

Job description

We’re on a mission to democratize audio creation by building world-class audio infrastructure for our customers. As a Site Reliability Engineer, you’ll play a key role in improving our platform's developer operations, including observability, monitoring, and overall reliability.

You will be part of a cross-functional team dedicated to implementing robust DevOps practices and enhancing infrastructure and site reliability engineering (SRE). A customer-focused mindset is essential, as the team collaborates closely with stakeholders to ensure solutions meet business and user needs.

In addition to a focus on observability, you will contribute hands-on by developing features, automating workflows, and supporting the deployment of advanced machine-learning models. Strong communication skills are vital for working effectively with engineers, product teams, and stakeholders across the organization.

About AudioStack

AudioStack is the world's most powerful AI audio production infrastructure. If you are passionate about the Voice & Audio markets (think audio for advertising, dynamic content, and podcasting) and Artificial Intelligence - this is the job for you!

We are an Audio-As-A-Service, API-first Infrastructure company with the aim of democratising the way audio is produced globally. Join an ambitious company with a strong international team, with offices in London, Barcelona, and New York.

AudioStack has the biggest selection of text-to-speech, speech-to-speech, and voice-cloning solutions in the market and is constantly expanding and improving our selection for our customers. You will own the processes for evaluating, integrating, and automating these processes. You'll also take a key role in developing our product and customer analytics at AudioStack. You will be working as part of our AI/ML team, working closely with our machine learning engineers, software engineers, and product owners to ensure we are best in the industry.

What you'll be doing:

• Responding to incidents and helping stabilize our platform
• Investigating performance issues and runtime errors
• Writing and shipping features for our customers - we expect everyone to be engineers as well!
• Accelerating our CI/CD process
• Deploying Machine Learning models onto GPU-based systems on AWS
• Supporting engineers on high-value deployments and teaching best practices about CI/CD to these engineers
• Identifying and resolving security issues
• Automating tests and supporting our engineers on building great software

Minimum qualifications:

• Strong experience with monitoring/observability tools (Grafana, Prometheus, or similar)
• Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines
• Hands-on cloud experience (AWS or similar)
• A passion for designing and implementing scalable observability solutions
• Minimum 3 years experience working in a backend-related role

Desirable:

• Security expertise or interest in vulnerability assessments

Tech Stack:

• Kubernetes (Knative) for containerized workloads
• AWS Lambda
• No-SQL databases
• PostgreSQL
• Serverless architectures
• All major AWS Services
• Auth0 for authentication
• OSO-Cloud for authorization
• CircleCI
• Git

Join us now to revolutionize how audio production is delivered at scale! We offer great learning and development opportunities, hybrid and flexible working hours, stock options (subject to performance and tenure), and a chance to shape a startup culture in the fast-growing audio/video space. Our team is diverse, international, and based in London, Barcelona, and New York. We have dog-friendly offices (meet Swanson and Bernie!) and are committed to diversity and inclusion.