Senior Software Development Engineer
Listed on 2026-07-17
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Software Development
Backend Developer, DevOps, Cloud Engineer - Software
At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization.
With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.
As a Senior Software Development Engineer at MCG , you will lead the design and delivery of complex cloud-native services that power healthcare decision-support solutions used by health plans, providers, and other stakeholders. You'll work across multiple cloud services, navigating evolving requirements and making critical tradeoffs that directly impact the reliability, security, and performance of our products.
This role sits at the intersection of deep technical skill and cross-service ownership — you won't just write great code, you'll shape how systems interact, fail gracefully, and scale.
You Will Scope & InfluenceOwn moderate to high complexity problems that span multiple cloud services, where tradeoffs, failure modes, and non-obvious interactions must be identified and resolved.
Operate effectively when requirements evolve during execution, providing technical judgment that keeps delivery on track.
Influence technical decisions and design direction beyond your immediate team, serving as a trusted technical voice in cross-service discussions.
Design & DeliveryLead the end-to-end design and delivery of complex, cloud-native services — from requirements analysis through production operation.
Anticipate and proactively address non-functional requirements including operational readiness, security, performance, and testability.
Drive work through ambiguity, decomposing unclear or shifting requirements into actionable, well-sequenced plans.
AI-Augmented EngineeringUse AI tools (e.g., Claude, Copilot) as a core part of your daily workflow — for code generation, design exploration, debugging, code review, incident analysis, and knowledge retrieval.
Author and maintain markdown skill files that codify repetitive workflows, runbooks, and best practices, enabling consistent and efficient execution across the team and reducing tribal knowledge.
Incident Response & ReliabilityActively contribute to incident response, root cause analysis, and preventative improvements, helping the team build increasingly resilient systems.
Own and improve on-call practices and runbooks for services you design and deliver.
Quality & CraftDesign services that are scalable, secure, and testable by default.
Debug complex, multi-service issues that cross team and domain boundaries.
Raise the testing and code quality bar through code review, pairing, and leading by example.
Proactively address performance, reliability, security, and maintainability concerns in every phase of development.
What We're Looking For:- 5+ years of professional software development experience, with significant time building and operating Azure cloud native distributed systems
- Strong proficiency in C#, .Net Framework, SQL Server, REST APIs, and Microservices
- Demonstrated experience designing scalable, secure, and testable services for production
- Track record of debugging complex issues across multiple services and system boundaries
- Hands-on experience with CI/CD pipelines, infrastructure-as-code, and cloud operations
- Solid understanding of security best practices, including secure coding, authentication/authorization patterns, and data protection
- Experience participating in or leading incident response and root cause analysis
- Proficiency with AI-assisted development tools (e.g., Git Hub Copilot, Claude) and a demonstrated habit of integrating them into daily engineering work for code generation, review, documentation, and problem-solving
- Exp…
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