Principal Platform/Software Engineer
概述作为首席软件工程师,你将负责领导我们的医疗保健 SaaS 平台的前沿软件系统的战略设计,开发和维护。这个角色是设计,编码和扩展弹性 AWS 基础设施和现代 Agentic AI 系统的实践技术权威机构。你将监督大规模项目,推动创新,并与执行领导层合作,以协调技术解决方案与业务目标。你将领导组织内的部门中的工程师团队的工作。你在指导项目和团队的工作有助于确保我们的解决方案提供高水平的技术卓越,具有集成性,可扩展性,安全性,设计良好和自动化的现代工程实践。我们为客户创建了现代化,有效的解决方案,使用适当的平台。我们确实拥有一些基础设施在主机和中层应用程序中。你可能正在任何这些领域工作,并且我们提供培训来帮助提高你的技能。责任 ·领导软件应用程序和系统的设计和开发,确保建筑和产品批准得到并满足功能和非功能要求 · 领导自主 AI 代理集成,LLM 工作流程和多代理系统的技术执行,使用 LangChain,AutoGen 或 CrewAI 等框架 · 建立并支持生产级 CI/CD 管道,基础设施自动化以及利用工具如 Terraform 或 CloudFormation 在 AWS 上的基础设施作为代码实践 · 导师高级工程师,进行全面的代码审查,维护代码质量标准,指导技术团队执行,解决复杂的建筑瓶 · 使用批准的建筑模式,编码标准和企业工程实践开发和实施高品质,可扩展性,安全性和性能代码 ·通过先进的故障解决,诊断,调试,依赖性分析和跨团队合作来解决复杂技术问题 ·与执行领导层以及跨职业利益相关者合作,定义项目范围,要求,优先事项和时间表 ·确保软件解决方案符合适用的医疗保健行业标准,安全期望,监管要求和内部治理实践 ·作为敏捷团队的一部分工作,参加敏捷仪式,保持对冲车负责
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Overview
As a Principal Software Engineer, you will be responsible for leading the strategic design, development, and maintenance of cutting-edge software systems for our healthcare SaaS platform. This role serves as a hands-on technical authority designing, coding, and scaling resilient AWS infrastructure and modern Agentic AI systems.
You will oversee large-scale projects, drive innovation, and collaborate with executive leadership to align technical solutions with business goals. You will lead the work of teams of Engineers working across departments within the organization.
Your work in guiding projects and teams helps assure that our solutions offer a high level of technical excellence with integrated, scalable, secure, well designed and automated modern engineering practices.
We create modern, efficient solutions for our customers using appropriate platforms. We do have some infrastructure in mainframe and mid-tier applications. You may be working in any of these areas, and we offer training to help hone your skills where needed.
Responsibilities
- Leads the design and development of software applications and systems, ensuring architecture and product approvals are obtained and functional and non-functional requirements are addressed
- Leads technical execution for autonomous AI agent integrations, LLM workflows, and multi-agent systems using frameworks such as LangChain, AutoGen, or CrewAI
- Builds and champions production-grade CI/CD pipelines, infrastructure automation, and infrastructure-as-code practices using tools such as Terraform or CloudFormation on AWS
- Mentors senior engineers, conducts comprehensive code reviews, upholds code quality standards, guides technical team execution, and resolves complex architectural bottlenecks
- Develops and implements high-quality, scalable, secure, and performant code using approved architectural patterns, coding standards, and enterprise engineering practices
- Resolves complex technical issues through advanced troubleshooting, diagnosis, debugging, dependency analysis, and cross-team collaboration
- Collaborates with executive leadership and cross-functional stakeholders to define project scope, requirements, priorities, and timelines
- Ensures software solutions comply with applicable healthcare industry standards, security expectations, regulatory requirements, and internal governance practices
- Works as part of an Agile team, participates in Agile ceremonies, remains accountable for sprint deliverables, and supports disciplined SDLC execution
- Drives continuous improvement, innovation, emerging technology adoption, regular upskilling, and knowledge sharing across the engineering organization
- Participates in talent acquisition and performance management activities, including interviewing, candidate evaluation, goal setting, associate development, performance feedback, and review input
- Provides technical direction across teams, influencing engineering standards, platform strategy, and architectural decisions without direct people-management authority
Qualifications
Required Knowledge, Skills, and Abilities:
- 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, systems management, and security practices
- Demonstrated ability to lead large-scale technical initiatives, estimate complex work, manage milestones, and guide technical teams through successful delivery
- Strong leadership, mentoring, coaching, communication, and strategic planning skills, including the ability to influence senior engineers and cross-functional stakeholders
- Exceptional problem-solving, analytical thinking, troubleshooting, debugging, and attention to detail in complex distributed systems environments
- Ability to embrace emergent solutioning, iterative delivery, innovation, continuous improvement, and evolving technology trends, including AI-enabled engineering practices
- Demonstrated responsiveness to internal and external customers, with the ability to balance technical excellence, business priorities, and stakeholder needs
Preferred Knowledge, Skills, and Abilities:
· We are a product company with legacy systems in use. Knowledge of mainframe and/or mid-tier applications programming (COBOL, ALC, DB2) and file utilities is preferred
Experience:
- 8 years of experience in software engineering
- 2 years of leadership experience, including leading teams and projects
- Experience working with a complicated matrix of stakeholders
- Proven track record of deploying Agentic AI models into production environments
- Experience working with Public Clouds (AWS, GCP, or Azure)
Required Training, Certification and Education:
· Bachelor’s degree in Computer Science, Software Engineering, or a related field or equivalent work experience
Preferred Training, Certification and Education:
· Master’s degree in a related technical field
Working Conditions:
- No travel required
- Remote/Home Office
- Must be able to use equipment at workstation for up to 8 hours daily
Benefits Overview
At NASCO, we trust our workforce to be fully remote, working from their home. This benefit offers significant, personalized outcomes for each associate including work/life balance, savings on commuting, work clothing, and increased time to spend on personal activities.
Our full benefit package is designed to support the physical, mental, and financial health of our associates. We offer:
Physical and Mental Health Benefits
- Choice of Blue Cross Blue Shield Medical, Dental, and Vision Plans
- Telehealthcare – for Medical and Behavioral visits
- Generous PTO with buy/sell options
- 9 Company holidays, a floating day off, and a day off for volunteering
- Employee Assistance Program
- Wellness program - earn insurance discounts or credit towards health-related items
Financial Health Benefits
- 401K Plan with employer matching contributions
- Company-funded spending/reimbursement accounts to help with out-of-pocket medical expenses
- Bonus and Recognition programs
- Tuition Assistance
- Consultation with financial planner
- Basic Life & AD&D Insurance, Short and Long-Term Disability Insurance provided, and Supplemental Term Life Insurance is available
- Group Discount programs - mobile, technology services, etc., to help you save money
Other Benefits
· E-Learning – Comprehensive and current library of e-learning and performance support assets, available on demand and at no cost
All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability. Must have legal authority to work in the US.
We will not accept applicants that use AI when answering the screening questions. Applicants who use AI to answer any questions or to complete their application will not be considered for employment.
Originally posted on Himalayas