Energy Jobline ZR
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
About the job Role Overview You’ll build secure, scalable, and high-performance APIs and services supporting both patient- and provider-facing applications. This is a senior-level, individual contributor role for someone who wants to lead through technical depth and craftsmanship. You’ll work closely with product managers, frontend engineers, and infrastructure teams to deliver reliable, compliant, and intelligent systems.
Key Responsibilities
Design and develop scalable, secure, and maintainable backend systems using Python frameworks (FastAPI, Flask, or Django).
Build and maintain REST and GraphQL APIs that power our mobile and web applications.
Implement best practices for data protection and secure storage of PHI/PII, including encryption and access control.
Design robust authentication, token management, and session handling mechanisms.
Architect and manage multi-tenant systems with configurable data, branding, and feature sets.
Develop data models and queries optimized for performance using Postgres.
Implement infrastructure automation and deployment pipelines using Terraform, ArgoCD, and GCP services.
Containerize and orchestrate services using Docker and Kubernetes for reliability and scalability.
Integrate LLM-based features using Langraph and Gemini to power AI-driven experiences.
Build real-time, event-driven systems leveraging Pub/Sub and caching layers for responsiveness.
Design and integrate HL7 interfaces for healthcare data interoperability.
Implement and maintain TTS (Text-to-Speech) and STT (Speech-to-Text) AI models for voice-enabled experiences.
Collaborate with cross-functional teams to ensure backend systems meet product and compliance goals.
Monitor, optimize, and troubleshoot backend performance and scalability.
Required Qualifications
5+ years of backend software engineering experience.
Strong proficiency in
Python
and frameworks such as
FastAPI ,
Flask , or
Django .
Hands‑on experience with
Postgres
for data modeling and performance optimization.
Deep understanding of
secure storage
(PHI/PII),
token/session management , and
multi‑tenancy .
Experience building and scaling
REST
and
GraphQL
APIs.
Strong grasp of
infrastructure as code
using
Terraform
and
ArgoCD .
Experience with
GCP ,
Kubernetes , and
Docker
for deployment and scalability.
Familiarity with
Langraph
and
Gemini
for AI and LLM integrations.
Experience building
Pub/Sub ,
caching , and event‑driven architectures.
Understanding of
HL7
data exchange standards in healthcare.
Knowledge of
TTS/STT AI models
for speech‑based experiences.
Additional Qualifications
Experience with
LiveKit
for real‑time communications.
Familiarity with
gRPC
for service‑to‑service communication.
Understanding of
API versioning
and backward compatibility strategies.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
About the job Role Overview You’ll build secure, scalable, and high-performance APIs and services supporting both patient- and provider-facing applications. This is a senior-level, individual contributor role for someone who wants to lead through technical depth and craftsmanship. You’ll work closely with product managers, frontend engineers, and infrastructure teams to deliver reliable, compliant, and intelligent systems.
Key Responsibilities
Design and develop scalable, secure, and maintainable backend systems using Python frameworks (FastAPI, Flask, or Django).
Build and maintain REST and GraphQL APIs that power our mobile and web applications.
Implement best practices for data protection and secure storage of PHI/PII, including encryption and access control.
Design robust authentication, token management, and session handling mechanisms.
Architect and manage multi-tenant systems with configurable data, branding, and feature sets.
Develop data models and queries optimized for performance using Postgres.
Implement infrastructure automation and deployment pipelines using Terraform, ArgoCD, and GCP services.
Containerize and orchestrate services using Docker and Kubernetes for reliability and scalability.
Integrate LLM-based features using Langraph and Gemini to power AI-driven experiences.
Build real-time, event-driven systems leveraging Pub/Sub and caching layers for responsiveness.
Design and integrate HL7 interfaces for healthcare data interoperability.
Implement and maintain TTS (Text-to-Speech) and STT (Speech-to-Text) AI models for voice-enabled experiences.
Collaborate with cross-functional teams to ensure backend systems meet product and compliance goals.
Monitor, optimize, and troubleshoot backend performance and scalability.
Required Qualifications
5+ years of backend software engineering experience.
Strong proficiency in
Python
and frameworks such as
FastAPI ,
Flask , or
Django .
Hands‑on experience with
Postgres
for data modeling and performance optimization.
Deep understanding of
secure storage
(PHI/PII),
token/session management , and
multi‑tenancy .
Experience building and scaling
REST
and
GraphQL
APIs.
Strong grasp of
infrastructure as code
using
Terraform
and
ArgoCD .
Experience with
GCP ,
Kubernetes , and
Docker
for deployment and scalability.
Familiarity with
Langraph
and
Gemini
for AI and LLM integrations.
Experience building
Pub/Sub ,
caching , and event‑driven architectures.
Understanding of
HL7
data exchange standards in healthcare.
Knowledge of
TTS/STT AI models
for speech‑based experiences.
Additional Qualifications
Experience with
LiveKit
for real‑time communications.
Familiarity with
gRPC
for service‑to‑service communication.
Understanding of
API versioning
and backward compatibility strategies.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr