COSENTUS
Website:
cosentus.com
Company:
https://www.linkedin.com/company/cosentus-llc
Seniority: Entry level
Industries: Hospitals and Health Care
Job details:
Job Description: Platform Engineer — Healthcare AI PlatformRole Overview
We are looking for a Platform Engineer with minimum 3 years of experience to help build, maintain, and improve the core infrastructure behind a healthcare AI platform.
The role involves working on cloud infrastructure, deployment workflows, backend platform reliability, databases, monitoring, automation, and secure production systems. The ideal candidate should have strong engineering fundamentals, hands-on production experience, and an interest in building scalable systems for healthcare AI, data processing, and automation.
Employment Details
DetailInformationRolePlatform Engineer — Healthcare AI PlatformExperienceMinimum 3 yearsWorking Days6 days per weekSalary Bracket₹60,000 – ₹90,000 per monthSalary BasisDepending on skills, experience, and interview performance
Key Responsibilities
- Build and maintain the platform infrastructure supporting healthcare AI workflows.
- Support backend systems, APIs, databases, queues, file processing, and deployment pipelines.
- Improve system reliability, scalability, security, and performance.
- Set up and maintain CI/CD workflows, automated deployments, and environment management.
- Monitor application health, logs, errors, performance, and infrastructure usage.
- Manage cloud services, storage, databases, serverless functions, and background jobs.
- Support secure handling of healthcare data across platform services.
- Troubleshoot production issues and assist in root-cause analysis.
- Work with AI/ML and data teams to support model-serving, data pipelines, and batch-processing workflows.
- Create documentation for infrastructure setup, deployment processes, and operational procedures.
- Improve developer experience by automating repetitive engineering tasks.
Required Skills and Experience
- Minimum 3 years of experience in platform engineering, backend engineering, DevOps, cloud engineering, or related roles.
- Strong understanding of backend systems, APIs, databases, and deployment workflows.
- Hands-on experience with cloud platforms such as AWS, Azure, GCP, Vercel, Supabase, or similar.
- Experience with Git, CI/CD, Docker, and environment configuration.
- Good knowledge of SQL and relational databases.
- Scripting knowledge using Python, Bash, JavaScript, or TypeScript.
- Experience with logs, monitoring, alerts, and debugging production issues.
- Understanding of secure data handling, access control, environment secrets, and production permissions.
- Ability to work with engineering, data, AI/ML, and product teams.
- Strong ownership mindset and attention to detail.
Preferred Skills
- Experience with healthcare, claims, EOB, ERA, RCM, payer, or insurance data.
- Exposure to AI/ML infrastructure, model-serving, batch processing, or data pipelines.
- Familiarity with queues, background jobs, cron jobs, serverless functions, or workflow automation.
- Experience with Supabase, PostgreSQL, object storage, and edge/serverless functions.
- Understanding of observability tools such as Sentry, Datadog, Grafana, Logtail, or cloud logs.
- Exposure to security, compliance, audit logs, RBAC, and production access controls.
- Familiarity with Terraform, Kubernetes, or infrastructure-as-code is a plus.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or a related field.
- Equivalent practical experience will also be considered.
Success Criteria
The Platform Engineer will be successful if they can:
- Keep the platform stable, secure, and reliable.
- Improve deployment speed and reduce production issues.
- Support AI, data, and backend teams with scalable platform foundations.
- Build clean automation for recurring engineering and operations tasks.
- Help create a production-ready healthcare AI platform that can scale safely.
Suggested Title
Platform Engineer — Healthcare AI Platform
Alternative titles:
- Platform Engineer — Healthcare AI
- Cloud Platform Engineer — Healthcare AI
- DevOps Engineer — Healthcare AI Platform
- Backend Platform Engineer — Healthcare AI
- Infrastructure Engineer — Healthcare AI Platform
Click on Apply to know more.
