
1001 - 5000 employees
đ Transport
âïž SaaS
đ€ B2B
Transport âą SaaS âą B2B
Modaxo is a global acquirer and operator of vertical-market software companies that power people transportation. The company provides a permanent, long-term home for transport-focused software businesses, offering financial backing, collaborative autonomy, and a people-first culture while keeping brands and teams independent. Modaxoâs portfolio covers software for buses, rail, demand response, taxis, private cars and aviation, and it focuses on scaling solutions that improve planning, payments, safety, and operational efficiency across public and commercial transport.
đ„ 6 minutes ago
đ Canada, Poland, +1 more countries â Remote
â° Full Time
đĄ Mid-level
đ Senior
â DevOps & Site Reliability Engineer (SRE)
đ» Ghost score 10%
Where this job comes from
Posted on Modaxo's careers page, not through a job board
First seen by Remote Rocketship 6 minutes ago

1001 - 5000 employees
đ Transport
âïž SaaS
đ€ B2B
Transport âą SaaS âą B2B
Modaxo is a global acquirer and operator of vertical-market software companies that power people transportation. The company provides a permanent, long-term home for transport-focused software businesses, offering financial backing, collaborative autonomy, and a people-first culture while keeping brands and teams independent. Modaxoâs portfolio covers software for buses, rail, demand response, taxis, private cars and aviation, and it focuses on scaling solutions that improve planning, payments, safety, and operational efficiency across public and commercial transport.
âą Build and own cloud landing zones, infrastructure-as-code, and Kubernetes foundations âą Own CI/CD as a fast, safe, and repeatable delivery product âą Automate toil and codify operational knowledge into tooling and runbooks âą Establish observability through metrics, logs, traces, SLOs, and alerting âą Set up and mature on-call and incident response âą Drive reliability improvements from postmortems âą Support deployment into cloud and customer-managed environments âą Manage version and configuration drift âą Optimize cost and capacity, including for AI workloads âą Work with product teams and customers to validate results and outcomes âą Prioritize work by value and prove value with the smallest useful slice âą Instrument and measure impact so evidence drives delivery decisions âą Build automated QA, tests, quality gates, and regression checks into the delivery pipeline âą Establish on-call and reliability culture and mentor the growing team âą Foster technical excellence, customer obsession, and pragmatic shipping âą Partner with product teams across the portfolio that own their roadmaps âą Report to the Head of AI Platform Engineering as part of a small, senior founding team
âą Demonstrated experience building and running production cloud infrastructure and owning its reliability âą Experience treating operations as engineering rather than ticket-driven operations âą Experience carrying real on-call responsibility for systems built âą Clear communication with engineers, product partners, and customers âą Outcome- and value-focused, pragmatic decision-making âą Kubernetes and infrastructure-as-code in production are bonus points âą Azure landing zones, networking, and identity are bonus points âą Experience shipping software into customer-managed environments is a bonus âą Experience delivering into regulated or restricted environments is a bonus âą Cost optimization for GPUs or other expensive compute is a bonus âą Comfortable with Python, C#/.NET, or Go for tooling and automation is a bonus âą System and platform design and trade-off judgment are bonus points âą Enterprise-scale software and reliability, security, and integration experience are bonus points âą Productive use of AI coding assistants and judgment in supervising their output are bonus points
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