DevSecOps Engineer

Posted 4 Hours Ago
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London, Greater London, England, GBR
Hybrid
Entry level
Artificial Intelligence • Big Data • Software • Data Privacy
The Role
Design and implement secure cloud infrastructure using infrastructure as code, automation, CI/CD pipelines, monitoring, and security controls. Build scalable AWS solutions with Terraform, CloudFormation, and AWS CDK; automate provisioning, configuration, compliance, cost management, and operational tasks. Integrate application and infrastructure security testing, container scanning, observability, and secret management while troubleshooting cloud issues programmatically.
Summary Generated by Built In
👋 About Us

It's hard to build a reliable system. It's harder to make sure that what you've built is really reliable.

Synthesized is redefining software testing with agentic AI. Our platform automates test data, test cases, and test environments - empowering enterprise teams to ship faster, reduce compliance risks, and modernise QA at scale.

Our products are used by some of the world's leading organizations, such as Deutsche Bank, UBS, the European Commission, and others.

We’re an ambitious VC-backed startup, having just gone through Series A with leading global investors including IQ Capital, Seedcamp, and Deutsche Bank. We have ambitious growth plans for 2026, and we are so keen for you to join us on the journey.

🔍 The Role

We're expanding our cloud offering capabilities and seeking a DevSecOps Engineer to strengthen our foundation for future growth. You'll support our cloud automation strategy, creating scalable, secure infrastructure through code. This role has a significant impact on both our development teams and customers' engineering teams. You'll help shape our cloud architecture decisions from the ground up with significant growth opportunities as you build solutions that enable faster development and deployment without compromising security.

📋 Key Responsibilities
  • Design and implement infrastructure as code using tools like Terraform, CloudFormation templates and AWS CDK

  • Develop automation scripts and workflows for cloud resource provisioning, configuration management, and operational tasks

  • Build CI/CD pipelines for infrastructure deployment and application delivery and security including SAST, DAST, dependency scanning, container scanning

  • Create monitoring, logging, and alerting solutions through code

  • Implement and automate security controls according to best practices and compliance requirements

  • Optimise and implement automated controls for cloud resource utilisation and cost management

  • Troubleshoot and resolve infrastructure issues through programmatic approaches

🌱 About You

Essential qualities

  • Proven experience with AWS

  • Strong programming skills in languages relevant to cloud automation (Python, JavaScript/TypeScript, PowerShell, shell scripts, etc.)

  • Experience with infrastructure as code tools and methodologies

  • Knowledge of containerisation technologies (Docker, Kubernetes, OpenShift)

  • Familiarity with CI/CD concepts and tools (GitHub Actions)

  • Experience with monitoring and observability implementation

  • Understanding of cloud security best practices and implementing security controls as code

What sets you apart

  • Industry-recognized cloud and security certifications

  • Hands-on experience implementing technical controls for compliance frameworks such as SOC2 and ISO-27001

  • Experience with serverless architectures and function-as-a-service implementations

  • Experience with security tools (SAST/DAST, container scanning)

  • Knowledge of security scanning and testing tools for infrastructure code

  • Familiarity with secret management solutions

  • Experience with OpenShift administration and automation

  • Ability to maintain good humour when explaining for the fifth time why "turning it off and on again" isn't always the solution to cloud problems

✨ What We Offer
  • 💰 Competitive salary and meaningful equity

  • 🌴 25 days annual leave

  • 🏢 Hybrid, flexible working

  • 📚 Learning & development budget for coaching, courses, and conferences

  • ⚕️ Private medical, dental, and vision cover

  • ✈️ Regular team socials and offsites

  • 🤝 Working with a team that’s smart, ambitious, and deeply collaborative

  • 🐤 Generous Family leave

🌍 Equal Opportunities

We are committed to an inclusive and diverse workplace at Synthesized. Synthesized is an equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.

Skills Required

  • Proven experience with AWS
  • Strong programming skills in Python, JavaScript or TypeScript, PowerShell, shell scripting, or similar cloud automation languages
  • Experience with infrastructure as code tools and methodologies
  • Knowledge of containerization technologies including Docker, Kubernetes, or OpenShift
  • Familiarity with CI/CD concepts and tools, including GitHub Actions
  • Experience with monitoring and observability implementation
  • Understanding of cloud security best practices and security controls as code
  • Industry-recognized cloud and security certifications
  • Hands-on experience implementing technical controls for SOC 2 and ISO 27001 compliance
  • Experience with serverless architectures and Function-as-a-Service implementations
  • Experience with SAST, DAST, and container security scanning tools
  • Knowledge of security scanning and testing tools for infrastructure code
  • Familiarity with secret management solutions
  • Experience with OpenShift administration and automation
Am I A Good Fit?
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The Company

What We Do

Synthesized provides an AI-powered test data infrastructure platform designed to automate and accelerate software testing for enterprises. Its AI-native platform automates the generation, masking, and provisioning of high-quality, privacy-compliant synthetic datasets that mimic real-world production data. This enables development and QA teams to ship faster, reduce compliance risks, and modernize testing at scale, with specific support for complex systems like SAP.

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