JPMorgan Software Engineer III - Infrastructure Backend 

United States, New Jersey, Jersey City 

164300039

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Collaborate with data scientists and research/machine learning engineers to deliver products to production.
• Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation)
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Build backend interfaces leveraging modern web stacks
• Build and automate and maintain our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization
• Improve and maintain our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors
• Increase our deployment velocity, including the process for deploying models and data pipelines into production

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in Python Programming, OOP, Databases and Big Data
• Experience with REST API, Cloud, Micro services, and other web technologies
• Experience in AWS cloud and services (S3, Lambda, Aurora, ECS, EKS, SageMaker, Bedrock, Athena, Secrets Manager, Certificate Manager etc.)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Proven DevOps/MLOps experience provisioning and maintaining infrastructure leveraging some of the following: Terraform, Ansible, AWS CDK, CloudFormation
• Experience in some of the following technologies Hadoop, PySpark, AWS Cloud, AWS DynamoDB, AWS Lambda, Terraform
• Experience in containerization and infrastructure as code Docker/Kubernetes/Terraform
• Experience with CI/CD pipelines example Jenkins/Spinnaker

Preferred qualifications, capabilities, and skills

• Familiar with monitoring tools such as Prometheus, Grafana, Splunk and Datadog
• Strong commitment to development best practices and code reviews
• Strong interpersonal skills; able to work independently as well as in a team
• Experience with deep learning frameworks such as TensorFlow or Pytorch
• Experience with data labelling, validation, provenance and versioning
• Any cloud certifications