Senior Backend Engineer

🏢 Mondia Group
📍 New Cairo City, EgyptHybrid
📅 Posted: 1mo ago🔄 Updated: 1mo ago
CV%
✨ AI Summary
The Senior Backend Engineer will design, build, and operate production-grade Java microservices on Spring Boot, owning the full delivery lifecycle from API design to on-call support. This role involves collaborating with cross-functional teams, providing architectural guidance, and ensuring best practices for secure, scalable, and high-performing distributed systems. Key responsibilities include implementing microservices, integrating event-driven systems, optimizing performance, managing cloud infrastructure, and leveraging AI tools for development acceleration.
Required Skills
Information Technology
○Java○Spring Boot○OT Security○REST API○OpenAI○AI Integration○Apache○PostgreSQL○SQL○Vector Indexing○Cloud Migration○Docker○CI/CD○AWS CodePipeline○AWS○Computer Vision○IAM○Core Networking○SLA Management○JUnit○Unit Testing○Prometheus○Grafana○OpenTelemetry○Logging○Copilot○Amazon Elastic Container Registry○Prompt Engineering○Microservices○SaaS○OAuth2○JWT○OWASP○Vulnerability Management○Concurrent Programming○Event-Driven Architecture○Performance Optimization○AI Security○AI Governance○Data Privacy○SSIS○Python○Node.js○Lambda○API Gateway○Redis
Other
○Spring Data JPA○API versioning○schema registry○EXPLAIN plans○circuit breakers○retries○fallbacks○bulkheads○multi-stage builds○security scans○slice tests○parameterized tests○AI-augmented testing○idempotency○error contracts○HATEOAS○bounded contexts○security expertise○secure coding○Executors○CompletableFuture○locking○JVM tuning○profiling○latency reduction○prompt injection awareness○analytical aptitude○Step Functions○cache-aside○TTL
Soft Skills & Professional Competencies
○Resilience○Problem Solving
Design, Content & Media
○Composition
Engineering, Construction & Trades
○Pipe Threading○Automation○Validation
Business, Sales & Management
○Coaching○SAFe
Nice to have:
Information Technology
○Redis
🎁 Benefits & Perks
  • Social insurance
  • Health insurance for employee and family
  • The company will contribute up to EUR 25 per month towards staff perks
  • Benefit from our performance-based bonus scheme, in line with company policy.
  • EUR equivalent salaries paid in EGP
Requirements
Required Skills and Qualifications·     Advanced proficiency in Java 17+ with modern features (records, sealed types, streams, var)·     Expert-level Spring Boot knowledge (auto-configuration, profiles, configuration properties)·     Advanced REST API design skills (versioning, idempotency, error contracts, HATEOAS)·     Strong microservices architecture experience (bounded contexts, sagas, decomposition)·     Advanced security expertise (OAuth2, JWT, OWASP, secure coding, vulnerability management)·     Solid understanding of concurrency and threading (Executors, CompletableFuture, locking)·     Experience with event-driven architectures using Apache Kafka·     Performance optimization skills (JVM tuning, caching, profiling, latency reduction)·     Experience with AI security and governance (data privacy, prompt injection awareness, safe AI usage)·     Growth mindset that challenges the status quo and focuses on continuous improvementTechnical Competencies/Skills·     Core: Java 17+, Spring Boot, Spring Data JPA, Spring Security·     API: RESTful APIs, OpenAPI/Swagger, API versioning and integration patterns·     Messaging: Apache Kafka (producers, consumers, schema registry)·     Data: PostgreSQL, SQL (indexing, EXPLAIN plans, migrations)·     Caching: Redis (cache-aside, TTL, invalidation) — nice to have·     Resilience: Resilience4j, circuit breakers, retries, fallbacks, bulkheads·     DevOps: Docker (multi-stage builds)·     CI/CD: GitLab CI (pipeline-as-code, security scans)·     Cloud: AWS or other cloud platforms (compute, IAM, networking, secrets management)·     Testing: JUnit 5, Mockito (unit tests, slice tests, parameterized tests)·     Observability: Prometheus, Grafana, OpenTelemetry, structured logging·     AI Tools: GitHub Copilot, Amazon Q, prompt engineering, LLM API integration, AI-augmented testing·     Strong analytical and problem-solving aptitudeEducation·     BS in Engineering or Computer ScienceExperience·     At least 5+ years of professional experience building backend services in Java·     Proven track record designing and operating production microservices at scale·     Experience with distributed systems, eventual consistency, and fault tolerance·     Experience with Agile/Scrum practices (sprint planning, estimation, retrospectives)Licenses and Certifications·     AWS or cloud platform certification (preferred, not mandatory)
Description
Job PurposeDesigns, 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·     Design and implement high-performance, scalable microservices using Java 17+ and Spring Boot·     Own end-to-end API design including versioning, idempotency, error contracts, and OpenAPI specifications·     Architect microservices following bounded contexts, saga patterns, and proper service decomposition·     Enforce security best practices including OAuth2, JWT, secure coding, and vulnerability remediation·     Integrate and manage event-driven systems using Apache Kafka·     Optimize application performance through JVM tuning, caching strategies, profiling, and latency reduction·     Optimize database/SQL performance through indexing strategies, query tuning, and EXPLAIN plan analysis·     Manage and optimize scalable distributed systems in the cloud (AWS)·     Design and implement serverless solutions (AWS Lambda, API Gateway, Step Functions)·     Utilize scripting languages (Python, Node.js) for tooling, automation, and auxiliary services·     Participate in on-call rotations and production incident resolution·     Conduct code reviews and mentor less-experienced engineers·     Communicate regularly with the engineering manager, QA teams, and other developers regarding progress on the technology roadmap·     Leverage AI-assisted development tools to accelerate coding, debugging, testing, and documentation workflows·     Drive automation using AI across the software lifecycle — design, development, testing, support, log analysis, and ticket summarization·     Produce quality code, raising the bar for team performance and speed·     Write code and tests, build prototypes, resolve issues, and profile and analyze bottlenecks
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00