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Launch Readiness and Rehearsal Support_TS/SCI w/ poly
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Flight Simulation Software Engineer (Associate, Experienced, and Senior)
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Intern - Marketing Operations
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SUPERVISORY ELECTRONICS ENGINEER
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Staff AI & Data Engineer – Databricks
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Support Operations Engineer
Jobgether
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- $100,000 to $130,000 CAD / year
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Support Systems Engineer based in United States .
Added 9 mins ago
Staff Software Engineer - Orders Platform
Jobgether
Remote, United States
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Jobgether

Staff Software Engineer - Orders Platform

Remote, United States

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Job details

Posting language: English
Posted: Nov 5, 2026

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Software Engineer - Orders Platform based in United States .

We are seeking an experienced Staff Software Engineer to help shape and scale a mission-critical ordering platform that powers restaurant operations. In this high-ownership role, you will drive the architecture and evolution of distributed systems designed to process, synchronize, and reconcile orders reliably, even during network outages or partial system failures. You will work with advanced engineering patterns such as event sourcing, conflict-free replicated data types (CRDTs), and offline-first data architectures. Collaborating across Engineering, Product, Payments, and Reporting, you will deliver resilient end-to-end ordering experiences across web, mobile, and point-of-sale environments. You will serve as a technical anchor for the team, influencing architectural decisions while remaining deeply hands-on with implementation. This remote-first opportunity offers the chance to solve complex technical challenges in a fast-growing technology environment.

Accountabilities

• Act as a technical architect within the Orders Platform team, defining and evolving how order data is modeled, stored, replicated, synchronized, and reconciled.

• Design, build, and maintain event-sourced and replicated-state systems that remain reliable under retries, network partitions, concurrent updates, and partial failures.

• Strengthen the platform's offline-first architecture, ensuring restaurant ordering and point-of-sale workflows continue operating reliably even when connectivity is interrupted.

• Develop robust mechanisms for idempotency, optimistic concurrency, event replay, projections, conflict resolution, and data reconciliation.

• Partner closely with Product, Payments, Reporting, and engineering teams responsible for point-of-sale and mobile experiences to deliver reliable ordering flows end to end.

• Lead technical design discussions, review architecture and code, and establish engineering standards that improve system correctness, scalability, and maintainability.

• Mentor and support engineers, helping the team develop deeper expertise in distributed systems and the platform's core architectural patterns.

• Improve observability, replay, and recovery capabilities so that order-state issues can be identified, investigated, and resolved quickly and cost-effectively.

• Reduce dependency on individual team members by documenting architectural decisions, sharing technical context, and making complex platform behavior easier to understand.

• Build familiarity with specialized technologies and continuously improve their reliability as the platform and engineering organization scale.

• Maintain a customer-focused approach by understanding restaurant operators' needs and, when necessary, engaging directly with customers through visits, calls, or other communication channels.

Requirements:

• Extensive experience building and operating correctness-critical distributed systems.

• Hands-on experience with event sourcing, CRDTs, or comparable approaches to replicated and offline-first data management, such as synchronization engines or conflict-resolution layers.

• Strong understanding of idempotency, optimistic concurrency, event replay, projections, reconciliation, and distributed data consistency.

• Ability to reason through complex failure scenarios, including interrupted operations, unavailable nodes, network partitions, and concurrent changes.

• Staff-level engineering experience, with a proven ability to influence technical direction, lead architectural decisions, and remain actively involved in hands-on development.

• Strong backend engineering skills and the ability to quickly learn specialized technologies and make complex systems more resilient.

• Clear written and verbal communication skills, with the ability to explain sophisticated technical concepts and make system knowledge accessible to others.

• Experience mentoring engineers, reviewing technical designs, and helping teams adopt sound engineering practices.

• Preferred: Backend engineering experience in payment processing or ordering systems.

• Preferred: Ability to collaborate with payments and reporting teams while owning the order-related components of financial transaction workflows.

• A strong customer-oriented mindset and willingness to engage directly with restaurant operators to understand and solve operational challenges.

• Experience in restaurants, retail, or IT environments is considered an advantage but is not required.

• Familiarity with technologies in the platform's ecosystem is beneficial, including Kotlin, TypeScript, React, React Native, Kubernetes, ArgoCD, Datadog, PostgreSQL, SQLite, OpenTelemetry Collectors, and Kafka.

Benefits:

• Estimated starting base salary of $240,000–$260,000 USD, depending on level, location, and experience.

• Generous pre-IPO equity package.

• Comprehensive health coverage.

• Remote-first work environment with the flexibility to work from anywhere.

• Unlimited paid time off (PTO).

• Additional employee perks and benefits.

• Opportunity to influence the architecture of a business-critical platform and work on complex distributed systems at scale.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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