Required Knowledge, Skills, and Abilities:
- Proven experience designing, deploying, and managing large‑scale SaaS solutions on AWS
- Deep expertise in AWS cloud architecture across compute, storage, networking, integration, and serverless design
- Proficiency in cloud‑native design patterns, microservices, and event‑driven architectures
- Advanced knowledge of cloud security (IAM, encryption, secure design) and compliance frameworks
- Strong experience with IaC tools such as CloudFormation or Terraform and modern DevOps practices
- Skilled in observability tools such as CloudWatch, Prometheus, and Grafana
- Strong analytical and problem‑solving abilities with experience resolving complex issues in a cloud environment
- Excellent communication and stakeholder‑engagement skills
- Demonstrated leadership ability and experience mentoring technical teams
- Ability to operate across multiple projects and operate effectively in a fast‑paced commercial SaaS environment
Preferred Knowledge, Skills, and Abilities:
- Knowledge of cloud governance frameworks such as CIS Benchmarks or NIST
- Experience integrating AI/ML capabilities on AWS, including Bedrock
- Ability to conduct and forecast cost–benefit and ROI analysis for proposed cloud solutions
- Knowledge of AWS Well Architected Framework and ability to apply those principles to SaaS design reviews
- Experience in forecasting design cloud compute costs, FinOps processes and design-based financial impacts
Experience:
- 10 years in cloud architecture, cloud engineering, or solution architecture
- 5 years hands‑on experience with AWS and cloud‑native commercial SaaS products
- 5 years of experience in designing complex distributed systems and enterprise cloud solutions
Required Training, Certification and Education:
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
- AWS Solutions Architect – Professional Certification or similar
Preferred Training, Certification and Education:
- AWS Certified DevOps Engineer
- Additional AWS specialty or advanced certifications
- Master’s degree in a technology‑related field
Working Conditions:
- Home office/Remote
- Ability to sit use equipment at workstation for up to 8 hours daily
- Ability to work a flexible schedule when work requires
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.