Subject Matter Expert – Java, AWS, AI

Jobtailor

Deutschland

Remote

EUR 90.000 - 120.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Public Trust Clearance

Zusammenfassung

Jobtailor in Germany seeks a technical SME for Java, AWS, and AI-enabled solutions. You’ll design scalable architectures and guide development teams on complex decisions to deliver robust cloud-native applications.

You will mentor engineers, lead architecture reviews, and ensure secure, high-performance systems using AWS services like EC2, S3, Lambda, RDS, ECS, and more, while aligning with compliance requirements.

Qualifikationen

  • Bachelor’s degree in computer science, information systems, engineering, or related field.
  • 14+ years of experience, or 10+ years with a Master’s degree.
  • Extensive Java development and object-oriented programming experience.
  • Strong hands-on AWS cloud services and cloud architecture.
  • Experience designing and delivering scalable enterprise applications.
  • Knowledge of security best practices in cloud and application development.

Aufgaben

  • Serve as the technical SME for Java-based applications, AWS cloud environments, and AI-enabled solutions.
  • Provide guidance on system architecture, solution design, and implementation best practices.
  • Lead technical discussions and advise development teams on complex issues and design decisions.
  • Architect and support cloud-native solutions using AWS services.
  • Evaluate, recommend, and integrate AI/ML tools, frameworks, and services.
  • Mentor team members through coaching, reviews, and training sessions.

Kenntnisse

Java Development
AWS Cloud Services
AI/ML Integration
Cloud Architecture
Software Development Lifecycle
API Development
Microservices
Distributed Systems
Agile Methodologies
DevOps Practices
Security Best Practices
Scalable Application Design
Root Cause Analysis
Performance Optimization

Ausbildung

Bachelor’s degree in computer science / information systems / engineering

Tools

Docker
Kubernetes
Terraform
CloudFormation
Monitoring Tools
Observability Tools
Spring Boot
Spring Cloud
Hibernate
RESTful APIs

Jobbeschreibung

  • Serve as the technical SME for Java-based applications, AWS cloud environments, and AI-enabled solutions
  • Provide guidance on system architecture, solution design, and implementation best practices
  • Lead technical discussions and advise development teams on complex issues and design decisions
  • Design, develop, and maintain scalable Java applications and services
  • Architect and support cloud-native solutions using AWS services such as EC2, S3, Lambda, RDS, ECS, EKS, CloudFormation, IAM, and related tools
  • Evaluate, recommend, and integrate AI/ML tools, frameworks, and services
  • Support modernization efforts, including migration of legacy applications to cloud-based platforms
  • Ensure solutions meet performance, security, reliability, and compliance requirements
  • Troubleshoot production issues and perform root cause analysis
  • Collaborate with product owners, engineers, architects, testers, and stakeholders
  • Review technical documentation, standards, and procedures
  • Mentor team members through coaching, reviews, and training sessions
  • Stay current with emerging technologies in Java, AWS, cloud architecture, and AI
Requirements
  • Bachelor’s degree in computer science, Information Systems, Engineering, or related field, with minimum 14 years of experience, or 10 years of experience with Master’s degree
  • Extensive experience with Java development and object-oriented programming
  • Strong hands‑on experience with AWS cloud services and cloud architecture
  • Demonstrated experience with AI/ML concepts, tools, or platforms
  • Experience designing and delivering scalable enterprise applications
  • Strong understanding of software development lifecycle, agile methodologies, and DevOps practices
  • Experience with API development, microservices, and distributed systems
  • Knowledge of security best practices in cloud and application development
  • Excellent analytical, problem‑solving, and communication skills
  • Selected candidate must be able to obtain a Public Trust clearance
  • Preferred: Experience with Spring Boot, Spring Cloud, Hibernate, RESTful APIs
  • Preferred: Experience with Docker and Kubernetes
  • Preferred: Experience with AWS automation and infrastructure‑as‑code tools such as Terraform or CloudFormation
  • Preferred: Familiarity with AI/ML frameworks, prompt engineering, or generative AI solutions
  • Preferred: Experience with monitoring and observability tools
  • Preferred: Prior experience serving in a lead or advisory technical role
Core Competencies

Demonstrates expertise in Java development, AWS cloud architecture, and AI/ML integration, with a strong focus on designing scalable applications and ensuring compliance with security and performance standards. Proven ability to lead technical discussions, mentor teams, and drive modernization efforts in cloud environments.

Highest‑signal resume keywords
  • Java Development
  • AWS Cloud Services
  • AI/ML Integration
  • Cloud Architecture
  • Software Development Lifecycle
ATS Optimization Keywords
Hard Skills
  • Object‑Oriented Programming
  • API Development
  • Microservices
  • Distributed Systems
  • Agile Methodologies
  • DevOps Practices
  • Security Best Practices
  • Scalable Application Design
  • Root Cause Analysis
  • Performance Optimization
Soft Skills
  • Analytical Skills
  • Problem‑Solving
  • Communication Skills
Certifications & Qualifications
  • Public Trust Clearance
Industry Keywords
  • Cloud‑Native Solutions
  • Legacy Application Modernization
  • Technical SME
  • Technical Documentation
  • Lead Technical Role
Tools & Technologies
  • Spring Boot
  • Spring Cloud
  • Hibernate
  • RESTful APIs
  • Docker
  • Kubernetes
  • Terraform
  • CloudFormation
  • Monitoring Tools
  • Observability Tools
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