Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Platform/Software Engineer based in the United States.
This is a senior, hands-on engineering role shaping the architecture and delivery of modern healthcare SaaS platforms.
You will provide technical leadership across cloud infrastructure, full-stack engineering, DevOps, and production-grade AI capabilities.
The role combines strategic architecture with hands-on development, including autonomous AI agents, LLM workflows, and multi-agent systems.
You will lead complex technical initiatives, guide engineering teams, and influence platform and architectural decisions across the organization.
Working closely with executive and cross-functional stakeholders, you will translate business priorities into secure, scalable, and resilient technology solutions.
You will also champion automation, modern SDLC practices, continuous improvement, and responsible adoption of emerging technologies.
This is an opportunity to have broad technical influence in a collaborative, remote environment while helping evolve critical healthcare technology.
Accountabilities
<ul>
<li>Lead the strategic design, development, and maintenance of scalable, secure, resilient software applications and platforms, ensuring functional and non-functional requirements are met.</li>
<li>Provide technical leadership for autonomous AI agent integrations, LLM workflows, and multi-agent systems using frameworks such as LangChain, AutoGen, or CrewAI.</li>
<li>Build and champion production-grade CI/CD pipelines, infrastructure automation, and infrastructure-as-code practices using AWS technologies and tools such as Terraform or CloudFormation.</li>
<li>Guide senior engineers through technical execution, comprehensive code reviews, architectural decisions, troubleshooting, and resolution of complex engineering challenges.</li>
<li>Develop high-quality, performant, maintainable software across user interfaces, backend services, APIs, integrations, and supporting technologies.</li>
<li>Lead large-scale technical initiatives by defining scope, estimating complex work, managing milestones, and coordinating delivery across engineering teams.</li>
<li>Collaborate with executive leadership, product teams, security, operations, and other stakeholders to establish priorities, requirements, timelines, and technical strategies.</li>
<li>Ensure solutions meet healthcare industry standards, security requirements, regulatory obligations, and internal architecture and governance practices.</li>
<li>Provide technical direction across teams, influencing engineering standards, platform strategy, architecture, and technology decisions without requiring direct people-management authority.</li>
<li>Participate in Agile ceremonies and maintain accountability for sprint commitments, SDLC execution, engineering quality, and delivery outcomes.</li>
<li>Drive continuous improvement through emerging technology adoption, AI-enabled engineering practices, knowledge sharing, technical upskilling, and process optimization.</li>
<li>Contribute to talent acquisition and team development through interviewing, candidate evaluation, mentoring, goal setting, performance feedback, and associate development.</li>
<li>Troubleshoot complex distributed systems through advanced diagnosis, debugging, dependency analysis, and collaboration across technical teams.</li>
<li>Where applicable, support environments involving legacy mainframe and mid-tier technologies while helping teams modernize and integrate these systems.</li>
</ul>
Requirements
<ul>
<li>8+ years of professional software engineering experience, including at least 2 years of technical leadership involving teams, projects, or large-scale initiatives.</li>
<li>Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent professional experience; a master’s degree is preferred.</li>
<li>Expert-level knowledge of cloud and DevOps engineering, with deep hands-on experience in AWS, infrastructure automation, CI/CD, and infrastructure-as-code.</li>
<li>Demonstrated experience deploying Agentic AI models, autonomous AI agents, LLM workflows, or multi-agent systems into production environments.</li>
<li>Strong full-stack engineering capabilities spanning user interfaces, middleware, backend services, APIs, integrations, and related technologies.</li>
<li>Advanced understanding of modern software architecture, design patterns, scalability, resiliency, security, performance optimization, and non-functional requirements.</li>
<li>Strong knowledge of infrastructure technologies including networking, compute, storage, databases, middleware, systems management, and security.</li>
<li>Proven experience with public cloud platforms such as AWS, GCP, or Azure, with AWS expertise strongly preferred.</li>
<li>Extensive knowledge of Agile methodologies, SDLC governance, modern software engineering practices, and iterative delivery.</li>
<li>Demonstrated ability to lead complex technical initiatives, estimate work, manage milestones, remove architectural bottlenecks, and deliver against strategic objectives.</li>
<li>Exceptional problem-solving, analytical, troubleshooting, debugging, and critical-thinking skills, particularly within complex or distributed systems.</li>
<li>Strong communication, mentoring, coaching, and stakeholder-management capabilities, with the ability to influence senior engineers, executives, and cross-functional partners.</li>
<li>Comfortable working within complex matrixed organizations and balancing technical excellence with business priorities and customer needs.</li>
<li>Adaptable, proactive, and comfortable with emerging technologies, evolving requirements, continuous improvement, and AI-enabled engineering practices.</li>
<li>Familiarity with healthcare technology standards, security expectations, and regulatory requirements is valuable.</li>
<li>Experience with legacy mainframe or mid-tier technologies such as COBOL, ALC, DB2, and file utilities is preferred.</li>
<li>Ability to work remotely and use a workstation for extended periods during the workday.</li>
<li>Must have legal authorization to work in the United States.</li>
</ul>
Benefits
<ul>
<li>Fully remote work: Work from a home office with no required travel.</li>
<li>Medical coverage: Choice of Blue Cross Blue Shield medical, dental, and vision plans.</li>
<li>Telehealth: Access to medical and behavioral health telehealth services.</li>
<li>Paid time off: Generous PTO with options to buy or sell additional time.</li>
<li>Company holidays: 9 company holidays, plus a floating day and a paid volunteering day.</li>
<li>Wellness support: Employee Assistance Program and wellness programs that can provide insurance discounts or credits toward eligible health-related expenses.</li>
<li>Retirement: 401(k) plan with employer matching contributions.</li>
<li>Financial support: Company-funded spending/reimbursement accounts and access to financial planning consultations.</li>
<li>Additional compensation: Bonus and recognition programs.</li>
<li>Insurance protection: Employer-provided Basic Life and AD&amp;D, short- and long-term disability insurance, with supplemental term life coverage available.</li>
<li>Education: Tuition assistance and access to a comprehensive, on-demand e-learning library.</li>
<li>Employee savings: Group discount programs covering mobile, technology services, and other offerings.</li>
<li>Work-life balance: Remote work designed to reduce commuting costs and provide greater flexibility for personal commitments.</li>
</ul>
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Principal Platform/Software Engineer

Principal Platform/Software Engineer

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