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Lead Software Engineer, Java, Spring Boot, AWS
HumanIT Digital ConsultingCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and delivering large-scale, cloud-native platforms using Java, Spring Boot, and AWS. Proficient in implementing engineering best practices, including CI/CD, automated testing, and monitoring to ensure high availability and performance.
Highest-signal resume keywords
Java DevelopmentSpring Boot FrameworkAWS Cloud SolutionsArchitecting Distributed PlatformsTechnical Leadership
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead engineering of a next-generation platform for end-to-end marketing campaign management
- Own technical direction, engineering efficiency and on-time delivery
- Architect new platform capabilities and lead a team of UI developers, full-stack engineers and data engineers
- Build highly available, large-scale and fault-tolerant platforms
- Design and develop REST APIs and web services with Java, Spring Boot and cloud-native technologies
- Assess approaches for integrating backend data services with user interfaces
- Bridge technical and business requirements
- Drive platform modernization on AWS and Databricks as part of a wider cloud transformation strategy
- Champion engineering best practices in quality, automation, observability, reliability and performance
- Promote adoption of GenAI and Agentic AI across the development lifecycle
- Participate in a 12-month project starting in November 2026
- Work regular hours in a hybrid model with three days per week on-site in Lisbon
- Participate in a client interview during the selection process
Requirements
What you’ll need- Hands-on experience with Java, Spring Boot and distributed service architectures (REST APIs)
- Proven experience architecting large, complex distributed platforms and delivering cloud-native solutions on AWS
- Familiarity with Big Data and analytics technologies such as Databricks, Hadoop, Spark, Python and Scala
- Experience with real-time or near real-time data ingestion and processing systems
- Understanding of Domain Driven Design (DDD) and Event Driven Design (EDD)
- Experience building and governing automated quality frameworks with JUnit and Mockito
- Solid understanding of BDD testing frameworks
- Understanding of CI/CD with Jenkins and automated deployment pipelines
- Experience implementing monitoring, logging, alerting and reliability engineering practices
- Track record of delivering highly available, observable, resilient and high-performance products at scale
- Experience using GenAI and AI-assisted development tools to improve productivity and quality
- Technical leadership experience and ability to communicate architecture to a wide range of stakeholders
- Familiarity with Agile/Scrum
- Fluent English, written and spoken
- Preferred: familiarity with React and/or Angular, Node.js and GraphQL
Benefits
Comp & perks- 15th month salary
- Health insurance covering your family
- Birthday off
- Mobility program for digital nomads
- Real work-life balance
- Full benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
REST API DevelopmentCloud-Native TechnologiesBig Data TechnologiesData Ingestion SystemsDomain Driven DesignEvent Driven DesignAutomated Quality FrameworksCI/CD with JenkinsMonitoring and Reliability EngineeringGenAI and AI-Assisted Development
Soft Skills
Communication SkillsTeam Leadership
Tools & Technologies
DatabricksHadoopSparkJUnitMockitoAgile/ScrumReactAngularNode.jsGraphQL
Industry Keywords
Marketing Campaign ManagementCloud Transformation StrategyEngineering Best PracticesAutomationObservability