...

United States

Remote

Full-time

Python

Python

AWS

AWS

Azure

Azure

Kubernetes

Kubernetes

MongoDB

MongoDB

posted 5 days ago

This position is posted by Jobgether on behalf of IonQ. We are currently looking for a Staff Software Engineer (Backend), Cloud Platform in the United States.

This role is ideal for a highly skilled software engineer who will contribute to building and maintaining a scalable, robust cloud platform connecting users to advanced computing systems. You will work closely with cross-functional teams—including product, applications, infrastructure, and scientific teams—to create high-quality, reliable services and APIs for a diverse range of users. This position offers the opportunity to mentor junior engineers, drive technical excellence, and influence the platform architecture in a fast-paced, collaborative, and remote-friendly environment. Your work will directly impact the usability and performance of cutting-edge cloud computing services, supporting the next generation of computing technologies.

Accountabilities

  • Design, develop, and maintain scalable and highly available cloud platform components.
  • Collaborate with cross-functional teams (product, applications, infrastructure, and scientific) to deliver reliable services and APIs.
  • Lead the implementation of software experiences that cater to both novice and expert users.
  • Participate in on-call rotations to support platform reliability.
  • Mentor and guide junior engineers, fostering knowledge sharing and technical growth.
  • Contribute to architecture and design discussions, ensuring best practices in software engineering.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of professional software engineering experience.
  • Strong experience with large-scale cloud service platforms and building robust, scalable services.
  • Proficiency in programming languages such as Go and Python (multiple languages a plus).
  • Experience with relational and NoSQL databases (e.g., Postgres, MongoDB).
  • Familiarity with cloud-native environments (AWS, GCP, Azure) and container orchestration (Kubernetes, serverless).
  • Ability to design and implement critical application components, including UX, APIs, exception handling, security, and data access.
  • Strong collaboration, communication, and interpersonal skills, with proven experience in cross-functional team projects.
  • Preferred: 10+ years professional full-stack experience, 5+ years Kubernetes experience, OAuth/OpenID/SAML authentication experience, prior Google Cloud Platform development experience.

Benefits

  • Competitive base salary ($162,920–$213,304) plus bonus and equity.
  • 100% remote or hybrid work options in the US.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) with employer matching.
  • Unlimited PTO and paid holidays.
  • Parental/adoption leave.
  • Legal insurance, home internet stipend, and pet insurance.
  • Opportunities for professional development and career growth.


Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1

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