Role & responsibilities
Software dEvelopement experience
Java 8
OOPS
Data Structure
Springboot
Spring Frameworks
MySQL
Multithreading
Unit Testing
Preferred candidate profile
HEAL Software is a renowned provider of AIOps (Artificial Intelligence for IT Operations) solutions. With
the state-of-the-art AIOps solutions, HEAL Software consistently drives digital transformation and
delivers significant value to businesses across diverse industries. HEAL Softwares unwavering dedication
to leveraging AI and automation, empowers IT teams to address IT challenges, enhance incident
management, reduce downtime, and ensure seamless IT operations. Through the analysis of extensive
data, our solutions provide real-time insights, predictive analytics, and automated remediation, thereby
enabling proactive monitoring and solution recommendation. HEAL Software Inc. has headquarters in
Santa Clara, California in the US.
Read more at healsoftware.ai, and follow us on Twitter and on LinkedIn.
We make ML based products that predict upcoming issues in complex applications running in
cloud-native, serverless or host-based environments. Products handle very high volumes of
streaming data, and perform complex learnings on structured and unstructured data in near real
time. The ideal candidate should have passion for building products, solving problems, and
building data pipeline.
Responsibilities:
reliability, and scalability.
coding standards.
design, implementation, testing, deployment, and support.
understand requirements and translate them into technical solutions.
promote continuous improvement and knowledge sharing.
implement timely and effective solutions.
thorough testing and validation.
technical discussions.
system monitoring and performance optimization.
Requirement:
buildingdata pipeline.
(e.g., Scrum, JIRA) experience is a plus
down, project management, and good communication.
maintainingcode.
Perks and benefits
Keyskills: Multithreading data structure Java 8 Unit Testing My SQL oops Spring Boot Framework
We make ML based products that predict upcoming issues in complex applications running in cloud-native, serverless or host-based environments. Products handle very high volumes of streaming data, and perform complex learnings on structured and unstructured data in near real time.