Sr. Software Engineer - AI Platforms & Automation
New
I
IMO HealthHealth Technology
United StatesFull-TimeSenior
Salary140,000 - 200,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years
- Required Skills
- AWSDockerPostgreSQLPythonSQLKubernetesAirflowTerraform
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related field (or equivalent professional experience).
- 7+ years of professional experience in software engineering, backend, platform, DevOps, MLOps, or cloud engineering.
- Strong proficiency in Python and experience building maintainable services, APIs, and workflow automation in production environments.
- Experience designing, deploying, and supporting cloud-based applications in AWS environments.
- Experience building or supporting AI-enabled applications using Amazon Bedrock, LLM APIs, knowledge bases, AI agents, or RAG.
- Experience with CI/CD pipelines, Git-based workflows, automated testing, and release practices.
- Experience with Docker, Kubernetes, Terraform/Infrastructure-as-Code, and production monitoring/alerting tools.
- Experience with workflow orchestration tools such as Airflow/MWAA, Glue, or Lambda.
- Working knowledge of SQL and relational databases such as PostgreSQL.
- Strong troubleshooting skills, including production issue triage, root-cause analysis, and log analysis.
- Ability to partner effectively with domain experts and translate workflow needs into technical solutions.
- Strong communication, documentation, and collaboration skills.
Responsibilities
- Maintain and enhance internally developed applications and tooling that supports terminology management, content creation, mapping, workflow automation, and content delivery.
- Build and maintain integrations across internal applications, APIs, knowledge bases, databases, and AI services.
- Contribute to the design and implementation of new automation and AI-enabled capabilities as business needs evolve.
- Own operational support for AI-enabled applications and workflows in production, including troubleshooting, incident response, release coordination, and ongoing maintenance.
- Manage application deployments, infrastructure configuration, monitoring, alerting, and operational support for AWS-hosted applications and services.
- Investigate production issues, perform root-cause analysis, and implement durable solutions that improve reliability.
- Support AI agents and workflow automation capabilities as they mature from pilot initiatives into scalable production solutions.
- Develop and troubleshoot cloud-based workflows using AWS services.
- Implement testing, monitoring, and operational readiness practices that improve the quality and reliability of AI-enabled workflows.
- Partner with clinical, terminology, product, data science, and engineering teams to improve AI-enabled workflows.
View Full Description & ApplyYou'll be redirected to the employer's site
