Job VC

We're looking for an experienced
Senior Backend Engineer
to help build and operate an AI-powered software development platform for a public-sector client. The platform combines
LLM-based code generation, AI model integrations, cloud-native backend services, and automated development workflows
in a scalable production environment.

If you're passionate about distributed systems, modern JVM technologies, cloud infrastructure, and building secure identity-driven platforms, we'd love to hear from you!

Core Competence:

5+ years of professional backend development experience
with strong software engineering fundamentals and experience building scalable distributed systems.
Strong proficiency in
Kotlin and/or Java
with hands-on experience developing backend applications on the JVM ecosystem.
Deep experience with
Spring Boot / Spring Framework
for designing and implementing production-grade microservices.
Strong understanding of
microservices architecture
, including service boundaries, API design, inter-service communication, resilience patterns, and distributed system challenges.
Solid experience with
PostgreSQL
, including database modeling, schema design, query optimization, and migration management.
Experience with
JUnit
for unit and integration testing, with a strong focus on code quality and reliability.
Hands-on experience with
Docker
for containerization, image creation, and optimization.
Strong knowledge of
Kubernetes (K8s)
for deploying, scaling, and operating cloud-native applications.
Experience with
Helm
for Kubernetes package management and deployment automation.
Proficiency with
Gradle
for build automation and dependency management.
Experience with
Git/GitLab workflows
, including branching strategies, CI/CD pipelines, and code review processes.
Practical knowledge of
OpenID Connect
and experience implementing authentication and authorization flows.
Experience with
Keycloak or Ory products
, including IAM configuration, realms, clients, and identity flows.

Preferred Qualifications:

Experience working with
AI-powered platforms, LLM integrations, or AI-assisted development tools
.
Background in
digital identity and verifiable credentials
ecosystems.
Knowledge of modern identity standards, including:
OpenID4VP
— presentation of verifiable credentials.
SD-JWT
— selective disclosure of individual attributes.
OpenID4VCI / OpenID4VC
— issuance and management of digital credentials.
mdoc (ISO/IEC 18013-5)
— mobile document formats such as mobile driver's licenses.
Experience building secure systems for
government, enterprise, or regulated environments
.
Understanding of cloud-native architecture principles and production operations.
Experience contributing to early-stage platforms and evolving solutions from initial concepts into reliable production systems.

What We Offer You:

Cutting-Edge AI Projects:
Work on a platform combining LLM technologies, backend engineering, and cloud-native infrastructure.
Technical Impact:
Influence architecture decisions and contribute to building scalable solutions used in real-world environments.
Modern Engineering Culture:
Work with advanced technologies, automation practices, and strong engineering standards.
Professional Growth:
Opportunity to deepen expertise in AI platforms, distributed systems, and digital identity technologies.
Global Collaboration:
Join an international team working on challenging and impactful projects.
Flexible Work Environment:
Remote-friendly setup with a focus on autonomy and work-life balance.