Principal Platform/Software Engineer

NASCO - United States - original posting ->
Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Platform-Engineering, Cloud-Engineer, DevOps-Engineer, AI-Engineering, Software-Architecture, Principal-Platform-Engineer, Senior-Principal-Platform-Engineer, Software-Platform-Engineer, Senior-Platform-Engineer, Lead-Platform-Engineer, Principal-Software-Engineer, Platform-Engineer, Senior-Platform-Engineering, Platform-Engineering-Lead
Tech
awsazuregcpterraformremote-countrysoftwareprincipal
Source
himalayas
First observed
2026-09-08 04:54 UTC
Last seen
2026-09-08 04:54 UTC
Source claims posted
2026-09-08 04:36 UTC
Consecutive misses
0 of 10

What the posting says

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

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #629016 2026-09-08 04:54 UTC
    Published