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Staff DevOps Engineer

Bluefishai

Berlin, Remote in Germany (Berlin) Remote permanent

Posted: March 24, 2026

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Quick Summary

Design and build scalable, secure, and high-performance cloud infrastructure for a tech stack including React, Next.js, and Python data pipelines.

Job Description

About the Position:

As a Staff DevOps Engineer, you’ll take the lead in building and maintaining the cloud infrastructure that powers our products. You’ll be responsible for architecting, implementing, and optimizing scalable, secure, and high-performance systems that support a dynamic and fast-growing tech stack - from React and Next.js applications to Python data pipelines, orchestrated across a complex AWS ecosystem.

This role combines traditional DevOps responsibilities with a strong focus on Release Engineering and infrastructure governance, ensuring reliable and scalable software delivery as we grow. You’ll work closely with cross-functional teams, including engineers and product managers, to streamline development workflows, improve deployment reliability, and ensure system resilience and observability. As the team scales rapidly, you’ll play a key role in defining infrastructure standards, best practices, and policies that enable engineering teams to move fast while maintaining stability and security. You’ll also play a key role in driving information security and compliance initiatives across infrastructure and operations, ensuring that our systems are built with security and regulatory readiness from the ground up.

This role is remote in Germany.

What you’ll be doing:

• Design and maintain AWS infrastructure using best practices (e.g., IaC, security, cost optimization, monitoring).

• Define and implement infrastructure standards, policies, and governance (e.g., IAM, group permissions, access control)

• Develop, operate, and improve CI/CD pipelines using GitHub Actions and other tools to support fast and safe deployment of our applications and services.

• Collaborate with engineering teams to define infrastructure requirements and help shape deployment strategies for frontend and backend applications.

• Proactively monitor system performance, availability, and reliability. Implement observability tooling and incident response processes.

• Automate provisioning, scaling, and recovery of infrastructure using tools like Terraform.

• Identify and resolve infrastructure bottlenecks (e.g., database scaling, system performance constraints).

• Lead initiatives around infrastructure security and compliance, including access control, vulnerability management, secrets management, encryption, and audit readiness.

• Ensure systems meet relevant security and compliance standards (e.g., ISO 27001, SOC 2, GDPR), and support internal and external audits.

• Mentor engineers on DevOps best practices, advocate for clean and scalable infrastructure design, and help build a strong engineering culture.

Qualifications:

• Proven experience in a DevOps, Site Reliability, or Infrastructure Engineering role, ideally in a startup or product-focused environment.

• Deep expertise in AWS services (EC2, ECS, Lambda, RDS, S3, IAM, SQS, SNS etc.) and cloud-native architecture.

• Strong experience with CI/CD tools and practices, ideally GitHub Actions.

• Proficiency with infrastructure-as-code tools (Terraform) and scripting languages (Python, Bash).

• Familiarity with containerization (Docker) and orchestration (ECS/EKS/Kubernetes).

• Solid understanding of networking, security best practices, and system performance monitoring.

• Experience implementing and managing security controls and compliance requirements (e.g., ISO 27001, GDPR, SOC 2), including hands-on work with identity management, encryption, and audit logging.

• Experience supporting modern web stacks, especially applications built with React, Next.js, and Python-based services.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences.

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $20M Series A funding round led by NEA, with participation from Salesforce Ventures. Additional investors include Crane Venture Partners, Swift Ventures, and Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Berlin. 

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI

• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry

• Join an experienced high-performing team where you will have immediate ownership and impact

• Experience a true meritocracy with significant career growth upside as the business scales

Our Values:

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.

• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.

• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.

• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.

• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.

• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

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