Software Engineer - Cloud

Description

Who we are

We're a multidisciplinary team of strategists, designers, engineers and product managers based in London, Delhi, Geneva and Lisbon. Our mission is to help create a world where new digital ideas transform lives - so working here means solving meaningful digital challenges, building your portfolio with standout projects and brands, and using some of the most innovative technologies around.

As a certified B Corporation, honesty and trust are key foundations at Studio Graphene. We believe in using technology as a force for good and, through our work, create a positive impact on the world. We are ISO 9001 and 27001 certified, which demonstrates our commitment to delivering services of the highest quality and maintaining the utmost standards of information security for our clients.

Our culture is supportive, open and collaborative, which has led us to proudly earn a Great Place to Work certification across all our global studios, spanning the UK, Portugal and India. This certification underscores our commitment to nurturing an exceptional workplace culture. We offer great benefits, competitive pay and a chance to make a difference in your career.

What you will do

As a Cloud Automation Engineer at Studio Graphene, you will work closely with our project leads and engineering teams to drive consistency and technical maturity across our environments, infrastructure code, and documentation.

You will play a key role in delivering reliable, sustained outcomes through our managed solutions, while also transforming and streamlining complex operational processes that frequently present challenges for our clients. We are looking for someone confident in deploying product updates, identifying and resolving production issues, and implementing integrations that are tailored to our clients' needs.

Our mission is to help create a world where digital innovation genuinely transforms people's lives. In this role, you will have the opportunity to help clients navigate their digital challenges, broaden your technical expertise, and work with cutting-edge technologies.

We are deeply passionate about what we do, and our culture reflects that. We actively encourage our teams to experiment, innovate, and continuously seek better ways of working - because we believe great ideas can always be improved upon.

Responsibilities

• Design, deploy, and manage scalable, secure, and highly available cloud infrastructure on AWS, Azure, or GCP.
• Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Implement and manage containerised applications using Docker and orchestration platforms like Kubernetes or ECS.
• Develop and maintain Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Configure and manage monitoring, logging, and alerting systems (Prometheus, Grafana, ELK Stack, CloudWatch, Datadog).
• Automate routine operational tasks using scripting languages (Bash, Python, or Go).
• Implement security best practices, including IAM policies, secrets management, network security, and compliance.
• Collaborate with development teams to optimise application deployment and performance.
• Troubleshoot infrastructure and deployment issues and perform root cause analysis.
• Maintain documentation for infrastructure, processes, and runbooks.
• Participate in on-call rotations to support production systems. 

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• 3-7 years of hands-on experience in DevOps or Cloud Engineering roles.
• Strong experience with at least one major cloud platform (AWS, Azure, or GCP).
• Proficiency in containerization (Docker) and orchestration (Kubernetes, Helm).
• Experience with CI/CD tools and practices.
• Solid understanding of Infrastructure as Code (Terraform).
• Proficiency in scripting languages (Bash, Python, or similar).
• Experience with version control systems (Git) and branching strategies.
• Knowledge of networking concepts (VPC, DNS, load balancing, firewalls, VPN).
• Familiarity with monitoring and observability tools.
• Understanding of security best practices in cloud environments.

Nice to have 

• Experience with MLOps practices or ML lifecycle management

• Exposure to LLM-based applications / GenAI systems

• Familiarity with AWS SageMaker, AWS Bedrock, or similar platforms

• Understanding of model monitoring, drift detection, and evaluation

• Experience handling API-based model serving (FastAPI, Flask, etc.)

What we offer

• The opportunity to have a real impact on the company's growth and evolution.
• Work for a company with global offices and the opportunity to travel and meet your colleagues.
• Work on a wide variety of tasks that are often ground-up builds.
• Dynamic and fun working environment - we run numerous brown bag sessions, bug-finding days and after-work social events.
• We take care of you and offer multiple perks, including special days off for health & wellness.
• We support you with our sponsored learning & development program.

Studio Graphene is proud to be an equal opportunity workplace. We cultivate a culture of inclusion for all employees, which respects their strengths, views and experiences. We strongly value diversity within our team, recognising that it fosters better decision-making, innovation and ultimately contributes to our business success.