Key Facts

Remote From:

India

Category: Software Engineer

Full time

Expert & Leadership (>10 years)

English

Hard Skills

C# (Programming Language) Microsoft Azure Systems Architecture Data Structures Event-Driven Programming Program Standards Engineering Design Process DevOps Containerization Kubernetes +24 more

Other Skills

•
Mentorship
•
Team Leadership
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Collaboration
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Decision Making
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Problem Solving
•
Strategic Thinking
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Innovation
•
Communication

Roles & Responsibilities

10+ years of software development experience with strong proficiency in .NET/C#, Angular (nice to have), and object-oriented design; deep understanding of data structures, algorithms, microservices, RESTful APIs and event-driven architectures; familiarity with DevOps practices (CI/CD, containerization, automation).
Hands-on AI experience: integrating AI into development processes, familiarity with Generative AI (LLMs, prompt engineering, agents, RAG), evaluation of AI models for performance, bias, and scalability; experience with AI APIs/tools (e.g., OpenAI, Azure AI services).
Azure Cloud expertise: strong experience with Microsoft Azure including AKS, Functions/App Services, Service Bus, Storage (Blob, Cosmos DB, SQL); designing cloud-native and hybrid architectures; Infrastructure as Code (ARM, Terraform, Bicep); monitoring (Azure Monitor, Application Insights); security and identity (Azure AD, RBAC).
Leadership and system design: proven ability to lead technical strategy across teams; architect highly scalable, fault-tolerant distributed systems; mentor engineers and influence stakeholders; drive innovation using AI and cloud technologies.

Requirements:

Lead system architecture and design for large-scale distributed applications; define and enforce engineering best practices, coding standards, and design patterns.
Drive adoption of AI capabilities into products and workflows; evaluate and integrate new AI tools, frameworks, and cloud services.
Architect and manage cloud-native solutions on Microsoft Azure; ensure performance, scalability, security, and reliability.
Mentor senior and mid-level engineers; collaborate with product, data, and business teams for strategic initiatives; lead technical strategy across teams and drive AI and cloud innovation.

MEDHOST

About MEDHOST

MEDHOST is a provider of market-leading enterprise, departmental and healthcare engagement solutions to healthcare facilities nationwide. Our integrated product portfolio includes intuitive, cloud-based solutions, including YourCareEverywhere, a robust health and wellness consumer engagement platform. Our broad offering of hosting, outsourcing, marketing and consulting services are changing how clinicians and hospital leaders work and collaborate, while generating notable operational improvements. MEDHOST delivers value by enabling hospitals of all types and all sizes to better manage the business of healthcare across the care continuum while meeting evolving regulatory requirements.

Founded: 2018

Company size: 501 - 1000

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Job description

_Core Responsibilities

Lead system architecture and design for large-scale, distributed applications
Define and enforce engineering best practices, coding standards, and design patterns
Drive adoption of AI capabilities into products and workflows
Architect and manage cloud-native solutions on Microsoft Azure
Mentor senior and mid-level engineers
Collaborate with product, data, and business teams for strategic initiatives
Ensure system performance, scalability, security, and reliability
Evaluate and integrate new technologies (AI tools, frameworks, cloud services)

1. Software Engineering Expertise

10+ years of experience in software development
Strong proficiency in languages like .net, C#, Angular (Good to have) etc.,
Strong Object Oriented Programming
Deep understanding of:
- Data structures & algorithms
- Microservices architecture
- RESTful APIs and event-driven systems
Experience with DevOps practices (CI/CD, containerization, automation)

2. AI Skills

Hands-on experience with:
- Github Copilot
- BMAD Method Framework (Good to have)
Experience integrating AI into development
Familiarity with Generative AI (LLMs, prompt engineering, Agent, RAG, MCP etc.,)
Ability to evaluate AI models for performance, bias, and scalability
Experience with AI APIs and tools (e.g., OpenAI, Azure AI services)

3. Azure Cloud Expertise

Strong experience with Microsoft Azure, including:
- Azure Kubernetes Service (AKS)
- Azure Functions / App Services
- Azure Service Bus
- Azure Storage (Blob, Cosmos DB, SQL Database)

Designing cloud-native and hybrid architectures
Expertise in:
- Infrastructure as Code (ARM templates, Terraform, Bicep)
- Monitoring (Azure Monitor, Application Insights)
- Security & identity (Azure AD, RBAC)

4. System Design & Architecture

Ability to design highly scalable, fault-tolerant systems
Experience with distributed systems and high-availability architectures

5. Leadership & Strategy

Proven ability to lead technical strategy across teams
Strong decision-making and problem-solving skills
Experience influencing stakeholders and aligning engineering with business goals
Ability to drive innovation using AI and cloud technologies