Senior Software Engineer - Cloud Platforms

Zachary Piper
Raleigh, NC, United States
28 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$120,000.0 - $170,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Data Analysis Systems Engineering Microsoft Azure Big Data Cloud Computing Cloud Database Cloud Engineering Code Review Data Architecture
+24 more
Data Infrastructure Data Integration Extract Transform Load (ETL) Data Systems Distributed Systems Python (Programming Language) Machine Learning Software Architecture Software Tools Software Engineering Systems Integration Technical Data Management Systems Software Organization Google Cloud Cloud Platform System SC Clearance Build Management Data Analytics Data Management Machine Learning Operations Tools for Reporting Api Design Data Pipelines Programming Languages

Job description

Piper Companies is seeking a - to join a growing software organization within the high-speed interconnect and electronics manufacturing industry in a hybrid position working The ideal Senior Software Engineer - Cloud Platforms role is a high-impact opportunity for a technical leader who will architect and develop scalable data platforms that connect factory systems, manufacturing data, and engineering workflows to support next-generation, AI-driven datacenters.

  • Design and build scalable, reliable data platforms and pipelines to support manufacturing and engineering systems.
  • Lead architecture decisions and establish best practices for performance, reliability, scalability, and maintainability.
  • Mentor and guide a team of engineers through code reviews, design sessions, and hands-on technical leadership.
  • Develop and maintain integrations across factory systems, test environments, and engineering tools.
  • Partner with cross-functional teams to align data solutions with business and operational needs.
  • Enable data analytics, reporting, and AI-driven insights to improve product quality, yield, and operational efficiency.
  • Drive continuous improvement of data infrastructure, tooling, and development standards., Keywords: Senior Software Engineer, Cloud Platform Engineer, Platform Engineer, Senior Cloud Platform Engineer, Data Architecture, Data Pipelines, Manufacturing Systems, Factory Systems Integration, Cloud Data Engineering, AWS, Azure, GCP, Distributed Systems, API Development, Python, Java, Big Data, Data Platforms, ETL, ELT, Data Integration, Analytics Enablement, AI, Machine Learning, Operational Analytics, Engineering Systems, Scalable Systems, Technical Leadership, Mentorship, Cloud Architecture

Requirements

  • 5-10 years of software engineering experience with demonstrated technical leadership responsibilities.
  • Must be eligible to work in the United States and obtain and maintain an Active U.S. Government Secret Clearance.
  • Proven experience designing, building, and scaling large-scale data systems and pipelines.
  • Strong background with cloud platforms such as AWS, Azure, or GCP.
  • Proficiency in at least one programming language such as Python, Java, or similar.
  • Hands-on experience building APIs, distributed systems, and data integration solutions.
  • Familiarity with data analytics platforms, reporting tools, and machine learning workflows.
  • Experience working in cross-functional engineering environments, including manufacturing or operations teams.
  • Strong communication skills with the ability to influence technical direction and architectural decisions.

Benefits & conditions

  • Salary range: $120,000 - $170,000
  • Comprehensive benefits package including medical, dental, vision, 401(k), and paid time off

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:10 min

Understanding the core concepts of API design

Alen Pokos · LIVE

3:39 min

Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho · WWC Europe 2026

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all