Senior Platform Software Engineer, Transport [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Platform Software Engineer, Transport based in the United States.

This role sits at the core of a large-scale cloud data platform, focused on building the infrastructure that enables reliable, secure, and seamless data movement across complex distributed systems. You will design and operate foundational platform components that support multi-tenant and single-tenant environments at global scale. The work spans cloud networking, service routing, and control plane architecture, ensuring high availability and performance for thousands of customers.
You will collaborate closely with product engineering, infrastructure, and security teams to solve deep systems-level challenges.
A key part of the role involves building automation and tooling to support large-scale migrations and platform evolution.
You will work in a highly technical, remote-first environment where strong ownership and asynchronous collaboration are central.
This is a high-impact engineering role where your work directly shapes the reliability and scalability of a mission-critical data platform.

Accountabilities:

• Design, build, and operate core platform infrastructure, including service routing, control plane systems, and multi-cell architecture components.
• Develop and maintain scalable backend services using languages such as Go, Python, and potentially Rust.
• Build automation frameworks and tooling to support large-scale customer migrations and platform transitions.
• Architect and implement cloud networking solutions, including VPCs, DNS, load balancing, PrivateLink, and service mesh configurations.
• Use Kubernetes, Terraform, and workflow automation tools to improve reliability, scalability, and operational efficiency.
• Troubleshoot complex distributed systems issues across application, infrastructure, and network layers.
• Collaborate with engineering, security, and product teams to define technical direction and unblock platform initiatives.
• Participate in on-call rotations and ensure high availability and performance of critical systems.
• Mentor engineers and contribute to best practices in platform engineering and distributed system design.

Requirements:

• 5+ years of software engineering experience in backend, platform, or infrastructure roles within SaaS or cloud environments.
• Strong proficiency in Go or Python, with experience building and operating distributed systems at scale.
• Deep hands-on experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform).
• Solid understanding of cloud networking concepts such as VPCs, DNS, load balancing, proxies, and service mesh technologies.
• Experience building or maintaining internal platforms, developer infrastructure, or automation systems.
• Strong ownership mindset with the ability to drive complex projects end-to-end.
• Comfortable working in fully remote, asynchronous environments with distributed teams.
• Excellent communication skills, with the ability to explain complex systems to both technical and non-technical stakeholders.
• Experience with large-scale migrations, multi-tenant systems, or cell-based architectures is a strong plus.
• Familiarity with tools such as Istio, Envoy, nginx, or AWS networking services is highly valued.

Benefits:

• Competitive base salary within the U.S. range ($152,926 – $183,518 USD)
• RSU equity grants as part of total compensation
• Fully remote-first work environment across the United States
• 100% employer-paid medical, dental, and vision insurance (where applicable)
• Generous PTO, paid holidays, sick leave, and inclusive parental leave
• Monthly stipend for phone and remote work support
• Professional development and training opportunities
• Access to mental health and wellness support platforms
• Collaborative engineering culture with strong focus on ownership and impact.

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!

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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.