Observability  AL/ML Ops Intern @ CloudTrust Team

Greetings! Informatica is looking for a highly motivated Software Engineer Intern to work with our Observability team responsible to monitor all our Infrastructure Systems, Products hosted on Cloud. During this internship you will be working with Site Reliability Engineers, Architects, Product and Design Teams to participate in brainstorming sessions, build and improve existing telemetry solutions. The ideal candidate should have experience developing distributed systems, troubleshooting skills, engineering metrics ingested from various systems that can be consumed by our customers.

Eligibility Requirements:

• Informatica’s internship is 10-12 weeks, full-time hours.
• We are currently hiring for Spring 2022.
• Authorized to work in the US

Responsibilities:

• Device methods to ingest metrics, monitor, analyze logs from various products and services
• Create solutions to proactively monitor and report operational issues  
• Evaluate tools, technologies, processes and make recommendations to improve and increase quality and efficiency repeatedly.
• Work with Engineers to implement telemetry to effectively monitor all the Products and Infrastructure
• Collaborating with geographically dispersed, cross-functional teams in an Agile environment 

Minimum Qualifications:

• Graduating with a BS/MS in Computer Science or equivalent
• Experience with coding languages and frameworks such as Javascript, React, Python, Go, and R
• Strong interpersonal and communication skills
• Strong knowledge in reinforcement learning (OpenAI, PyTorch, Tensorflow, etc), simulation/model predictive control

Preferred Qualifications:

• Have worked on designing and building dashboards for teams to visualize and monitor
• Knowledge in Prometheus, Elastic Search, Influx, Cloud Watch, Azure Monitor, or any metric ingestion tools
• Knowledge of Cloud Services such as AWS, Azure, Google Cloud
• Knowledge in Distributed Systems, Docker, Kubernetes
• Prior MLOps experience using popular MLOps frameworks like Kubeflow, MLFlow, Pachyderm, etc)