Principal Platform/Software Engineer

Overview

We are representing a confidential healthcare technology organization seeking a Principal Platform/Software Engineer to lead the strategic design, development, and maintenance of cutting-edge software systems for their SaaS platform. This is a fully remote position within the United States.

As a hands-on technical authority, you'll design, code, and scale resilient AWS infrastructure and modern Agentic AI systems. You'll oversee large-scale projects, drive innovation, and collaborate with executive leadership to align technical solutions with business goals while guiding engineering teams across departments.

Responsibilities

• Lead the design and development of software applications and systems, ensuring architecture and product approvals are obtained and functional and non-functional requirements are addressed
• Lead technical execution for autonomous AI agent integrations, LLM workflows, and multi-agent systems using frameworks such as LangChain, AutoGen, or CrewAI
• Build and champion production-grade CI/CD pipelines, infrastructure automation, and infrastructure-as-code practices using tools such as Terraform or CloudFormation on AWS
• Mentor senior engineers, conduct comprehensive code reviews, uphold code quality standards, guide technical team execution, and resolve complex architectural bottlenecks
• Develop and implement high-quality, scalable, secure, and performant code using approved architectural patterns and enterprise engineering practices
• Resolve complex technical issues through advanced troubleshooting, diagnosis, debugging, dependency analysis, and cross-team collaboration
• Collaborate with executive leadership and cross-functional stakeholders to define project scope, requirements, priorities, and timelines
• Ensure software solutions comply with applicable healthcare industry standards, security expectations, and regulatory requirements
• Work as part of an Agile team, participate in Agile ceremonies, remain accountable for sprint deliverables, and support disciplined SDLC execution
• Drive continuous improvement, innovation, emerging technology adoption, regular upskilling, and knowledge sharing across the engineering organization
• Participate in talent acquisition and performance management activities, including interviewing, candidate evaluation, and performance feedback
• Provide technical direction across teams, influencing engineering standards, platform strategy, and architectural decisions

What We're Looking For

Required Qualifications:

• 8+ years of experience in software engineering
• 2+ years of leadership experience, including leading teams and projects
• Expert knowledge of cloud and DevOps engineering, including deep AWS expertise, infrastructure automation, CI/CD, and infrastructure-as-code practices
• Proven ability to deploy Agentic AI models, autonomous AI agent integrations, LLM workflows, or multi-agent systems into production environments
• Extensive experience with software engineering methodologies, Agile delivery practices, SDLC governance, and modern engineering best practices
• Advanced full-stack development proficiency across user interface, middle tier, backend, APIs, integrations, and related technologies
• Strong knowledge of modern software architecture, design patterns, scalability, resiliency, security, performance optimization, and non-functional requirements
• Advanced knowledge of infrastructure technologies, including networking, compute platforms, storage, databases, middleware, and security practices
• Demonstrated ability to lead large-scale technical initiatives, estimate complex work, manage milestones, and guide technical teams through successful delivery
• Experience working with a complicated matrix of stakeholders
• Experience working with Public Clouds (AWS, GCP, or Azure)
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent work experience
• Must have legal authority to work in the United States

Preferred Qualifications:

• Master's degree in a related technical field
• Knowledge of legacy systems including mainframe and/or mid-tier applications programming (COBOL, ALC, DB2) and file utilities

How We Work With You

When you apply through Get A Job.ai, our talent team will screen your qualifications and experience. If there's a strong match, we'll conduct an initial interview to understand your background and career goals. We'll then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to fair and equitable hiring practices. We consider all qualified applicants without regard to race, color, religion, national origin, sexual orientation, age, gender identity, protected veteran status, disability status, or any other protected characteristic.