Qureos Mentor

Mondia

<div>
 
 Job Purpose
 
 
 
 Designs, builds, and operates production-grade Java microservices on Spring Boot. Owns the full delivery lifecycle: API design, data modelling, messaging, observability, CI/CD, and on-call support. Collaborates closely with Product, QA, and SRE teams to deliver reliable, scalable services. Provides architectural guidance, makes key technical decisions, and mentors other developers. The role involves ensuring best practices, optimizing performance, and aligning technical solutions with business goals while building secure, high-performing distributed systems.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement high-performance, scalable microservices using Java 17+ and Spring Boot
 </li>
 <li>
 Own end-to-end API design including versioning, idempotency, error contracts, and OpenAPI specifications
 </li>
 <li>
 Architect microservices following bounded contexts, saga patterns, and proper service decomposition
 </li>
 <li>
 Enforce security best practices including OAuth2, JWT, secure coding, and vulnerability remediation
 </li>
 <li>
 Integrate and manage event-driven systems using Apache Kafka
 </li>
 <li>
 Optimize application performance through JVM tuning, caching strategies, profiling, and latency reduction
 </li>
 <li>
 Optimize database/SQL performance through indexing strategies, query tuning, and EXPLAIN plan analysis
 </li>
 <li>
 Manage and optimize scalable distributed systems in the cloud (AWS)
 </li>
 <li>
 Design and implement serverless solutions (AWS Lambda, API Gateway, Step Functions)
 </li>
 <li>
 Utilize scripting languages (Python, Node.js) for tooling, automation, and auxiliary services
 </li>
 <li>
 Participate in on-call rotations and production incident resolution
 </li>
 <li>
 Conduct code reviews and mentor less-experienced engineers
 </li>
 <li>
 Communicate regularly with the engineering manager, QA teams, and other developers regarding progress on the technology roadmap
 </li>
 <li>
 Leverage AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows
 </li>
 <li>
 Drive automation using AI across the software lifecycle &mdash; design, development, testing, support, log analysis, and ticket summarization
 </li>
 <li>
 Produce quality code, raising the bar for team performance and speed
 </li>
 <li>
 Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Skills and Qualifications
 
 
 
 <ul>
 <li>
 Advanced proficiency in Java 17+ with modern features (records, sealed types, streams, var)
 </li>
 <li>
 Expert-level Spring Boot knowledge (auto-configuration, profiles, configuration properties)
 </li>
 <li>
 Advanced REST API design skills (versioning, idempotency, error contracts, HATEOAS)
 </li>
 <li>
 Strong microservices architecture experience (bounded contexts, sagas, decomposition)
 </li>
 <li>
 Advanced security expertise (OAuth2, JWT, OWASP, secure coding, vulnerability management)
 </li>
 <li>
 Solid understanding of concurrency and threading (Executors, CompletableFuture, locking)
 </li>
 <li>
 Experience with event-driven architectures using Apache Kafka
 </li>
 <li>
 Performance optimization skills (JVM tuning, caching, profiling, latency reduction)
 </li>
 <li>
 Experience with AI security and governance (data privacy, prompt injection awareness, safe AI usage)
 </li>
 <li>
 Growth mindset that challenges the status quo and focuses on continuous improvement
 
 
 </li>
 </ul>
 
 Technical Competencies/Skills
 
 
 
 <ul>
 <li>
 Core: Java 17+, Spring Boot, Spring Data JPA, Spring Security
 </li>
 <li>
 API: RESTful APIs, OpenAPI/Swagger, API versioning and integration patterns
 </li>
 <li>
 Messaging: Apache Kafka (producers, consumers, schema registry)
 </li>
 <li>
 Data: PostgreSQL, SQL (indexing, EXPLAIN plans, migrations)
 </li>
 <li>
 Caching: Redis (cache-aside, TTL, invalidation) &mdash; nice to have
 </li>
 <li>
 Resilience: Resilience4j, circuit breakers, retries, fallbacks, bulkheads
 </li>
 <li>
 DevOps: Docker (multi-stage builds)
 </li>
 <li>
 CI/CD: GitLab CI (pipeline-as-code, security scans)
 </li>
 <li>
 Cloud: AWS or other cloud platforms (compute, IAM, networking, secrets management)
 </li>
 <li>
 Testing: JUnit 5, Mockito (unit tests, slice tests, parameterized tests)
 </li>
 <li>
 Observability: Prometheus, Grafana, OpenTelemetry, structured logging
 </li>
 <li>
 AI Tools: GitHub Copilot, Amazon Q, prompt engineering, LLM API integration, AI-augmented testing
 </li>
 <li>
 Strong analytical and problem-solving aptitude
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 BS in Engineering or Computer Science
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 At least 5+ years of professional experience building backend services in Java
 </li>
 <li>
 Proven track record designing and operating production microservices at scale
 </li>
 <li>
 Experience with distributed systems, eventual consistency, and fault tolerance
 </li>
 <li>
 Experience with Agile/Scrum practices (sprint planning, estimation, retrospectives)
 
 
 </li>
 </ul>
 
 Licenses and Certifications
 
 
 
 <ul>
 <li>
 AWS or cloud platform certification (preferred, not mandatory)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Social insurance
 </li>
 <li>
 Health insurance for employee and family
 </li>
 <li>
 The company will contribute up to EUR 25 per month towards staff perks
 </li>
 <li>
 Benefit from our performance-based bonus scheme, in line with company policy
 </li>
 <li>
 EUR equivalent salaries paid in EGP
 </li>
 </ul>
</div>

Senior Backend Engineer

<div>
 We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.
 
 
 
 Role and Responsibilities :
 
 
 
 <ul>
 <li>
 Implement agent logic, tools, and orchestration against the given architecture
 </li>
 <li>
 Build and tune RAG pipelines: ingestion &rarr; embeddings &rarr; retrieval &rarr; re-ranking &rarr; evaluation
 </li>
 <li>
 Design and optimize Postgres schemas, queries, and vector indexes for production load
 </li>
 <li>
 Build the test-generation and test-execution engine for the AI Code Pipeline
 </li>
 <li>
 Integrate with Git, CI/CD, and internal services
 </li>
 <li>
 Build evaluation harnesses, observability, and guardrails so agents are measurable and safe
 </li>
 <li>
 Own the reliability, latency, and cost of the systems you ship
 </li>
 <li>
 Write clean, typed, well-tested Python and participate actively in code review
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional software engineering in Python, with deep, hands-on command of the language : async, typing, packaging, performance, and clean, maintainable code
 </li>
 <li>
 1+ years building LLM / agentic systems &mdash; tool use / function calling, orchestration, prompting, and evaluation
 </li>
 <li>
 Strong problem-solving and debugging on ambiguous, real-world production problems
 </li>
 <li>
 Solid Postgres experience: schema design, query optimization, and extensions (pgvector)
 </li>
 <li>
 Experience shipping and operating production services &mdash; testing, CI/CD, observability, on-call mindset
 </li>
 <li>
 Comfort with Git-based workflows and code review
 </li>
 <li>
 Automating software testing: unit, integration, functional, security, performance
 </li>
 <li>
 Integrating with developer tooling and CI/CD systems
 </li>
 <li>
 6+ months of demonstrated experience building with Claude Code in a development workflow
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.
</div>

Agentic AI Engineer

Join Mondia and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Mondia

About Company

Senior Backend Engineer

Agentic AI Engineer