Sr. Backend Engineer

Blooming Health; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading healthcare technology company seeks a Senior Backend Engineer to architect high-performance cloud-native services for their social care automation platform. You will be pivotal in service design and technical road-mapping, ensuring compliance with security standards. The role involves collaboration across teams while mentoring junior engineers and driving coding standards.

Qualifications

• 6+ years of back-end engineering experience.
• Expert in Java (Spring/Spring Boot) and/or Node.js.
• Hands-on experience with AWS or GCP.

Responsibilities

• Design, code, and refactor scalable microservices.
• Own REST endpoints and service contracts for applications.
• Embed security practices into code reviews and logging.

Skills

Java

Node.js

PostgreSQL

MongoDB

AWS

GCP

Git

CI/CD

HIPAA

HITRUST

Tools

Terraform

CloudFormation

Kubernetes

Job description

Job Title

Senior Backend Engineer

Company

Blooming Health

Location

United States — Remote first (occasional onsite/meet-ups as required)

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Position Summary

Blooming Health is looking for an experienced Senior Backend Engineer (6 + years) to architect and deliver high-performance, cloud-native services that power our social care automation platform. As the first senior back-end hire in the U.S., you will:

• Own critical service design and technical road-mapping;

• Harden our data pipelines and API layer for scale, security, and HITRUST / HIPAA compliance.

You’ll partner with Product, DevOps, and Front-end leads to turn complex healthcare workflows into reliable microservices and event-driven architectures.

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Core Responsibilities

• Architecture & Development – Design, code, and refactor scalable microservices (Java / Node.js) and data pipelines; drive coding standards, logging, and observability.

• API Strategy – Own REST endpoints and service contracts used by mobile and web apps; ensure backward compatibility and versioning.

• Database & Data Ops – Model relational (PostgreSQL) and NoSQL (MongoDB) schemas, write performant queries, and guide migrations, backups, and HA strategies.

• Cloud & ML/AI Ops – Deploy and operate services on GCP; integrate CI/CD, IaC (Terraform/CloudFormation), feature-flagging, and automated model retraining or inference pipelines where applicable.

• Security & Compliance – Embed HIPAA, HITRUST, and OWASP best practices into code reviews, secret management, encryption, and audit logging.

• Performance & Reliability – Benchmark services, tune JVM/Node runtimes, and implement autoscaling, caching, and graceful-degradation patterns.

• Leadership & Mentorship – Provide technical guidance to junior engineers, review pull requests, and champion DevSecOps culture and agile rituals.

• Vendor / MSSP Evaluation – Influence build-vs-buy decisions (e.g., choosing an MSSP, auth provider, or observability stack) and lead PoCs.

• Evidence & Audit Readiness – Work with the ISO to collect architecture diagrams, runbooks, and security artifacts required for HITRUST/SOC 2 audits.

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Required Qualifications

• 6 + years back-end engineering in high-traffic, cloud-hosted products.

• Expert in Java (Spring/Spring Boot) and/or Node.js; fluency in TypeScript, Go, or Python a plus.

• Deep knowledge of PostgreSQL and MongoDB performance tuning, replication, and backup.

• Hands-on production experience with AWS (ECS/EKS, Lambda, SQS/SNS, RDS) or GCP equivalents.

• Proven track record shipping secure, compliant code in regulated domains (health-tech, fintech, etc.); working understanding of HIPAA/HITRUST controls.

• Proven track record in building high volume / transactions systems with focus on availability, scalability, and reliability.

• Mastery of Git, branch strategies, and CI/CD pipelines (GitHub Actions, CodeBuild, or similar).

• Strong communication skills; able to translate architectural choices to execs and mentor distributed teams.

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Preferred / Nice-to-Have

• Familiarity with FHIR / HL7 data formats and healthcare integration patterns.

• Experience with secrets management (Vault, AWS KMS), or zero-trust networking.

• Exposure to ML/AI-Ops (model versioning, feature stores, automated retraining).

• IaC expertise with Terraform or CloudFormation; Kubernetes experience a bonus.

• Prior success leading onshore/offshore teams or acting as tech-lead for multi-time-zone projects.