Principal Cloud Platform Engineer - AIML
Principal Cloud Platform Engineer - AIML
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$ 200000 - 325000
1 Vacancy
Job Description
At CDAO (Chief Data Analytics Office) we drive our firms strategic investments in AI/ML and dataoriented tools and capabilities. Our Platform Engineering team is at the forefront of building innovative platforms automating infrastructure operations and enabling Agenticbased AIOps platforms. Our mission is to enhance scalability security and reliability for CDAOhosted managed services.
As a Principal Software Engineer (Cloud Platforms) within JPMorgan Chase you will be responsible for providing technical direction and collaborating with an agile team to improve develop and deliver tools and platform products in a secure stable and scalable manner. Your advanced technical abilities and interpersonal skills will be utilized to work with partners and stakeholders across the organization promoting toptier results across various cloud tooling and platform development initiatives. Your role will be pivotal in promoting performance optimization and efficiency improvements across the entire engineering organization by building enhancing and operating platforms at scale.
Job responsibilities:
- Provide technical leadership and guidance to the cloud engineering team
- Lead the design and development of the cloud infrastructure offerings and platform tools ensuring that they are secure scalable and reliable
- Stay uptodate with the latest advancements in cloud technologies and bring in recommendations for adoption and implementation of new tools/technologies
- Develop secure and highquality production code perform code reviews and debug issues
- Partner withdevelopment teams who create our customer experience to identify and eliminate bottlenecks
- Analyze performance characteristics of systems across our platform and improve resiliency and security posture
- Gather insights and provide actionable intelligence to optimize infrastructure usage and costs
- Design and develop scalable AIOps solutions to support AI/ML and Data Platforms
- Implement data pipelines and workflows to collect process and analyze large volumes of platform data in realtime
- Ensure the reliability availability and performance of the AIOps platform through effective monitoring and maintenance
- Develop and deploy agentic systems and agents to automate routine tasks and processes enhancing operational efficiency
Required qualifications capabilities and skills
- Bachelors degree in Computer Science Data Engineering or a related field.
- Proven experience in platform engineering with a focus on AI/ML technologies and IT operations
- Formal training or certification on software engineering concepts and 7 years applied experience
- Handson experience with one or more cloud computing platform providers AWS/Azure/GCP
- Advanced knowledge of Containerization and Container Runtime/Orchestration platforms (Docker/Kubernetes/ECS etc.
- Handson experience with Cloud Infrastructure Provisioning Tools like Terraform Pulumi Crossplane etc.
- Proficiency with programming languages like Golang/Python and understand software development best practices
- Handson experience with CI/CD/SCM tools like Jenkins Spinnaker Bitbucket / Github etc. and with logging and monitoring tools Splunk Grafana Datadog Prometheus etc.
- Deep understanding of cloud infrastructure design architecture and cloud migration strategies
- Strong knowledge of cloud security best practices shift left methodologies and DevSecOps processes
- Experience in designing and developing scalable AI platforms
Preferred qualifications capabilities and skills
- Masters degree in a related field.
- Experience implementing multicloud architectures
- Certifications in target areas (Cloud/Kubernetes/IaC etc)
- Experience leading endend platform development efforts
Required Experience:
Staff IC
Employment Type
Full-Time
