Site Reliability Engineer

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. Key Responsibilities

• Responding to incidents and helping stabilize our technology stack
• 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

• 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.

Preferred Qualifications

• Security expertise or interest in vulnerability assessments.

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