채용
필수 스킬
Java
Docker
Kubernetes
Join our Team
About This Opportunity
We are seeking a hands-on Java Developer to join our engineering team to build, automate, and enhance product capabilities with applied AI. This role combines core Java development and automation expertise with practical use of A
I to increase development efficiency, improve product features, and enable AI-driven workflows. You will work closely with architects, product owners, cross-functional teams to design, implement, test and operate high-quality, cloud-native services that incorporate AI where it brings clear value to our products.
What You Will Do
Development & Implementation:
- Design, implement and maintain backend services and microservices in Java (Spring Boot preferred).
- Develop, maintain and enhance automation across the product lifecycle: CI/CD pipelines, test automation, verification and deployment.
- Integrate AI capabilities into development workflows and product features — for example, using LLMs for code generation, automated testing, documentation, or product-specific intelligent agents.
- Write clean, maintainable, well-documented code with strong unit and integration test coverage; participate in TDD/BDD practices.
- Participate in design reviews, code reviews and knowledge sharing;
- Collaborate with other developers and team to improve productivity and product quality.
- Ensure reliability, observability and security of AI-driven and automated workflows; follow best practices for data protection.
What You Will Bring
- Programming experience in Java
- Hands-on experience with automation, CI/CD, and deployment automation.
- Experience integrating APIs, microservices, and working with databases;
- Good debugging, problem solving and software engineering skills; experience writing unit and integration tests.
- Understanding of cloud-native patterns and containerization concepts.
- Accountable, Good communication skills and ability to collaborate in cross-functional, Agile teams.
- Advanced/Fluent English.
Nice to have
- Practical experience or familiarity with LLMs and AI frameworks
- Experience with Docker and Kubernetes in production.
- Familiarity with multi-agent systems or building intelligent agents for task automation, RESTful API design and design patterns.
- Exposure to TDD/BDD.
Why you’ll enjoy this role
- Opportunity to shape how AI is applied across real products and operational workflows.
- Work in a collaborative, Agile environment focused on continuous improvement and innovation.
- Real impact: reduce manual work through automation and build features that deliver measurable customer value.
Work model - Hybrid
- Brazil (Indaiatuba or São Paulo)
If you are a pragmatic Java engineer who is passionate about development and eager to apply AI practically to improve developer productivity and product functionality, we’d like to hear from you.
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Brazil (BR) || Indaiatuba
Req ID: 779089
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Ericsson 소개

Ericsson
PublicAn information and communications technology company that offers network services
10,001+
직원 수
Kista
본사 위치
$21.5B
기업 가치
리뷰
3.9
22개 리뷰
워라밸
3.8
보상
2.5
문화
3.2
커리어
3.4
경영진
3.1
65%
친구에게 추천
장점
Good work-life balance and flexible hours
Supportive colleagues and teamwork
Learning opportunities and innovative projects
단점
Low compensation and salary concerns
Slow career progression and limited growth
Management transparency and leadership issues
연봉 정보
99개 데이터
Junior/L3
Junior/L3 · Cybersecurity Analyst
0개 리포트
$9,203
총 연봉
기본급
-
주식
-
보너스
-
$7,823
$10,583
면접 경험
9개 면접
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Decision
자주 나오는 질문
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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