Site Reliability Engineer

AudioStack; London; Hybrid; GBP 45,000 - 85,000; Full time

Job summary

Join an innovative company on a mission to democratize audio creation! As a Site Reliability Engineer, you'll enhance platform reliability and developer operations. Work with a dynamic team to implement robust DevOps practices and develop scalable solutions. Your expertise in monitoring tools, cloud technologies, and CI/CD will be invaluable as you respond to incidents and automate workflows. This is a unique opportunity to shape the future of audio production in a fast-growing industry. If you're passionate about AI and audio, this role is perfect for you!

Benefits

Stock Options

Flexible Working Hours

Dog Friendly Offices

Learning & Development Opportunities

Qualifications

• Strong experience with monitoring tools and cloud technologies.
• Proficiency in Python, Docker, Kubernetes, and CI/CD.

Responsibilities

• Stabilizing platform and responding to incidents.
• Developing features and automating workflows.
• Deploying ML models on AWS GPU systems.

Skills

Monitoring/Observability Tools

Python

Docker

Kubernetes

CI/CD Pipelines

Cloud Experience (AWS)

Security Assessments

Education

3+ years in Backend Role

Tools

Grafana

Prometheus

AWS Lambda

Postgres

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 would 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

Requirements

• 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
• Postgres
• Serverless
• All major AWS Services
• Auth0, for authentication
• OSO-Cloud for authorization
• CircleCi
• Git

Benefits

The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds.

Be part of a great story: we are making audio scalable for the first time in history.

Great Learning & Development opportunities, such as our biweekly journal club - state-of-the-art papers or Friday wins, a proactive meeting to celebrate shipping of new software each week.

Hybrid working and Flexible working hours with

Stock Options (subject to performance and time served).

The opportunity to shape a startup culture in a company in the fast-growing audio/video space.

A truly international and diverse team.

Offices in the hottest startup hubs London, Barcelona and New York.

Dog friendly offices (come and meet Swanson and Bernie)!

Why is now a really exciting time to join AudioStack

AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media.

We have a great team and culture and you will be immersive in a very international environment and market.

We are still a small team of 30 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust.

Join us now to revolutionise how audio production is delivered at scale!

Our commitment to diversity

We embrace diversity at www.audiostack.ai. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• IT Services and IT Consulting