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Join the Omnissa Workspace ONE Intelligence team and play a key role in shaping the future of digital workspaces. Our team is responsible for building, deploying, and managing the AWS-based Workspace ONE Intelligence cloud service. With a focus on transforming how customers engage with digital workspaces, we leverage analytics, machine learning, and AI to deliver innovative solutions that drive critical decision-making, enhance end user experience, ensure security, and automate IT processes and remediation. We are passionate about rapidly developing high-quality software and applying automation and software engineering best practices to everything we do. We work with the latest AWS technologies and open-source components.
Responsibilities:
Drive the design and development of major architecture components. Participate in all phases of software development, including requirements, design, coding, testing, debugging, and performance tuning.
Support your peers with code reviews, design reviews, and technical insights.
Drive improvements in DevOps, Agile, and CI/CD processes that enable the team to work more efficiently.
Drive API excellence with well-thought-out opinions on API design (e. g., API versioning, REST vs. GraphQL, performance, and usability).
Support the team's on-call responsibilities and look for opportunities to make it more efficient.
Train and mentor junior engineers, providing technical guidance and direction.
Own engineering initiatives and champion a culture of high ownership, continuous improvement, and engineering excellence.
First 2 Months:
Complete onboarding processes, and familiarize yourself with Omnissa's standard operating procedures.
Develop a solid understanding of the Intelligence platform architecture.
Make meaningful code contributions.
3-6 Months:
Develop deep subject matter expertise in one or more areas of the platform, such as data ingestion, storage, machine learning, or data retrieval.
Acquire in-depth knowledge of your assigned product area, including the technology stack, codebase, and release lifecycle.
6-12 Months:
Design and implement high-performing components of the platform.
Establish a reputation of leadership within the team and demonstrate influence within your area of expertise.
Collaborate with cross-functional teams to help them utilize the capabilities of Intelligence effectively.
Requirements:
8+ years of experience in software engineering, with a strong technical foundation in architecting and designing cloud services.
Proficiency in Java and the Spring Framework.
Experience with microservice architectures and high-performance, high-scale systems.
Experience with cloud services, preferably AWS (EC2 S3 Lambda, DynamoDB, Redshift, RDS, and more).
Excellent problem-solving abilities, technical leadership, and a proactive approach to continuous learning and improvement.
Proficiency in DevOps, Agile, and CI/CD processes.
Familiarity with development tools such as Git, Jira, and Jenkins.
Excellent communication skills and the ability to collaborate across cross-functional teams.
Experience
8-12 yrs
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