Senior Backend Engineer II

Storyblok is a headless CMS that enables marketers and developers to create with joy and succeed in the AI-driven content era. It empowers you to deliver structured and consistent content everywhere: websites, apps, AI search, and beyond.
Marketers get a visual editor with reusable components, in-context preview, and workflows to launch fast and stay on brand. Developers have freedom to use their favorite frameworks and integrate with anything through the API-first platform. Brands get one source of truth for content that is accurate, flexible, and measurable.
Legendary brands like Virgin Media O2, Oatly, and TomTom use Storyblok to make a bigger, faster market impact. It’s Joyful Headless™, and it changes everything.
Job Description
JOB SUMMARY
The Senior Backend Engineer II operates beyond individual feature ownership and
takes responsibility for major backend subsystems, multi-cycle initiatives, and complex
technical challenges that impact multiple teams.
This role works closely with Engineering Managers, Product, and fellow engineers to
lead scalable, reliable, and secure backend solutions and is expected to clarify
ambiguous problems, lead technical design efforts, and elevate engineering standards
across the Backend pillar.
Success in this role is measured not only by the delivery of high-quality systems but
also by the ability to create technical leverage, strengthen reliability, and increase the
organization's execution capacity.
ESSENTIAL JOB FUNCTIONS
● Be accountable for the technical health, scalability, and long-term sustainability of
a defined backend subsystem or domain.
● Lead complex technical initiatives spanning multiple cycles with end-to-end
responsibility from problem framing to measurable stabilization.
● Design robust backend architectures and implementation plans that reduce
operational risk and improve system performance.
● Break down ambiguous or loosely defined problems into clear technical
strategies with explicit trade-offs.
● Collaborate closely with Engineering Managers and Product to align technical
solutions with business priorities and customer needs.
● Improve backend reliability by proactively identifying systemic risks, technical
debt, and architectural bottlenecks within the domain and lead remediation
before they impact teams or customers.
● Contribute hands-on to the backend codebase, delivering high-quality, secure,
well-structured, and maintainable code.
● Raise engineering standards through thoughtful code reviews, documentation,
and technical guidance.
● Mentor mid-level and senior engineers across the Backend pillar, supporting their
growth toward greater technical ownership.
● Support production stability by actively participating in debugging, root cause
analysis, and long-term remediation efforts.
● Contribute to evolving backend development practices, testing strategies, CI/CD
workflows, and performance optimization efforts.
● Act as a technical reference point within a defined backend domain, fostering
alignment and reducing cross-team friction.
EDUCATION AND EXPERIENCE
● 9+ years of relevant experience as a Backend Engineer, with demonstrated
ownership of complex systems or subsystems.
● Strong experience with Ruby on Rails (preferred) or comparable backend
frameworks.
● Proven experience designing and implementing scalable APIs and backend
services.
● Strong expertise in PostgreSQL and database design; familiarity with NoSQL or
vector databases (e.g., Qdrant, Pinecone, or Weaviate) is a plus.
● Deep understanding of software design principles, testing strategies, CI/CD, and
backend reliability practices.
● Experience working with distributed systems, background jobs (e.g., Sidekiq),
caching layers (e.g., Redis), and cloud infrastructure (AWS preferred).
● Familiarity with modern AI/ML services or data-intensive workflows is desirable.
● Experience leading technical initiatives or large refactors across teams is highly
valued.
● Strong problem-solving skills and ability to operate effectively in complex,
evolving environments.
● Excellent written and verbal communication skills in a collaborative, remote-first
setting.
● Bachelor’s or Master’s degree in Computer Science or equivalent practical
experience.
● Demonstrates AI literacy, with the ability to leverage AI tools to enhance
productivity, decision-making, and quality of work while applying sound judgment
and critical thinking.

