Were looking for a motivated Software Engineering or Computer Science student to join our backend engineering team.
Our product manages and monitors over 10 million endpoints worldwide providing large-scale real-time visibility and control for our customers.
In this role youll help ensure our services remain stable reliable and well-tested by focusing on production monitoring log analysis and test automation for our Java Spring Boot microservices running in AWS.
Youll gain hands-on experience working on distributed systems that operate at global scale.
Responsibilities:
- Monitor production systems using DataDog and the AWS Management Console.
- Analyze application logs and metrics to detect investigate and document issues.
- Assist with support cases reproducing and analyzing reported problems.
- Create maintain and fix automated tests (unit integration and end-to-end) for Spring Boot services.
- Collaborate with engineers to improve reliability coverage and observability.
- Document findings fixes and technical improvements.
#LI-Hybrid
#LI-CR1
Qualifications :
- Completion of at least two years of a . in Software Engineering Computer Science or a related field at a leading academic institution.
- At least 1.5 years remaining until graduation.
- Strong programming skills in Java and familiarity with Spring Boot.
- Solid understanding of computer science fundamentals: object-oriented design data structures algorithms and complexity analysis.
- Basic understanding of software testing (JUnit Testcontainers or similar).
- Comfortable using AWS Console and DataDog for monitoring and troubleshooting.
- Demonstrated ability to quickly learn and adapt to new technologies through self-learning.
- Detail-oriented and methodical approach to problem-solving.
- Self-motivated with a strong drive for excellence and continuous improvement.
- Creative thinker with a proactive mindset.
- Strong interpersonal skills and a collaborative team player.
Advantages:
- Experience with Jenkins CI/CD pipelines.
- Prior experience in support operations or development roles.
- Familiarity with REST APIs and microservices architecture.
- Knowledge of AWS services such as CloudWatch S3 or Lambda.
Remote Work :
No
Employment Type :
Intern
Were looking for a motivated Software Engineering or Computer Science student to join our backend engineering team.Our product manages and monitors over 10 million endpoints worldwide providing large-scale real-time visibility and control for our customers.In this role youll help ensure our services...
Were looking for a motivated Software Engineering or Computer Science student to join our backend engineering team.
Our product manages and monitors over 10 million endpoints worldwide providing large-scale real-time visibility and control for our customers.
In this role youll help ensure our services remain stable reliable and well-tested by focusing on production monitoring log analysis and test automation for our Java Spring Boot microservices running in AWS.
Youll gain hands-on experience working on distributed systems that operate at global scale.
Responsibilities:
- Monitor production systems using DataDog and the AWS Management Console.
- Analyze application logs and metrics to detect investigate and document issues.
- Assist with support cases reproducing and analyzing reported problems.
- Create maintain and fix automated tests (unit integration and end-to-end) for Spring Boot services.
- Collaborate with engineers to improve reliability coverage and observability.
- Document findings fixes and technical improvements.
#LI-Hybrid
#LI-CR1
Qualifications :
- Completion of at least two years of a . in Software Engineering Computer Science or a related field at a leading academic institution.
- At least 1.5 years remaining until graduation.
- Strong programming skills in Java and familiarity with Spring Boot.
- Solid understanding of computer science fundamentals: object-oriented design data structures algorithms and complexity analysis.
- Basic understanding of software testing (JUnit Testcontainers or similar).
- Comfortable using AWS Console and DataDog for monitoring and troubleshooting.
- Demonstrated ability to quickly learn and adapt to new technologies through self-learning.
- Detail-oriented and methodical approach to problem-solving.
- Self-motivated with a strong drive for excellence and continuous improvement.
- Creative thinker with a proactive mindset.
- Strong interpersonal skills and a collaborative team player.
Advantages:
- Experience with Jenkins CI/CD pipelines.
- Prior experience in support operations or development roles.
- Familiarity with REST APIs and microservices architecture.
- Knowledge of AWS services such as CloudWatch S3 or Lambda.
Remote Work :
No
Employment Type :
Intern
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