Iron Mountain
Location
Bangalore | India
Job description
The role requires the developer to take the working experimental code for delivery to production. Value add in terms of performance tuning, scalability, abstraction of storage, logging, dockerization and build setup. The role requires working with ML engineers to productionalize the code.
You'll GET TO
Delivering Java (responsible for Integration / CICD task )projects to production
Test and debug programs
Improve functionality of existing systems
Assess and prioritize feature requests
Coordinate with internal teams to understand user requirements and provide technical solutions
Responsible for creating solutions for new and existing Insight customer implementations.
Provide development insights and guidance to ML Engineering and Data Ontology teams.
Work with various Insight and other Iron Mountain teams to implement complex solutions.
Work with the Insight core platform team on existing features and future roadmap items
Participate/Lead design and solution discussions with various Iron Mountain partner vendors.
Stay current on various API, Integration and ECM practices/technologies
Analyzes and resolves issues; Escalates issues to senior management when required.
Responsible for the timely and effective solutions of InSight implementations.
Responsible for guiding the Insight technical implementation team on end-to-end solutions.
Responsible for identifying, resolving, and when necessary, escalating any issues that may be impeding the success of the project.
THE IDEAL CANDIDATE
Candidate with 6+Years experience who can Write effective, scalable code
Solidify research-code into production ready code.
Proficient in the following technologies/Languages-Java/ Python; Git ; Integration APIs (REST) ; JSON/XML
In depth understanding and hands on experience in Docker, Container Orchestration, Kubernetes ,Kafka and Kubeflow
Good Experience in Scripting CI/CD pipelines
Modern software development techniques - unit testing, refactoring, CI CD.
High Level Understanding of Machine Learning and AI techniques.
Work Experience with Cloud Technologies and Cognitive solutions - GCP Preferred.
Understanding of Microservices architecture and service-oriented architectures.
Strong technical background and understanding of enterprise solutions including networking, storage, hardware, and software layers.
Ability to participate and contribute in discussions related to ML/AI, ECM, BPM with various industry leading vendors.
Excellent communication and teamwork skills
bachelors degree in Computer Engineering / masters Degree
Job tags
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