Role:This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Platform Engineer based in Saudi Arabia.
As a Staff Platform Engineer, you will play a pivotal role in shaping the infrastructure and developer experience that power a growing engineering organization. You will lead high-impact initiatives focused on continuous delivery, cloud infrastructure, automation, and developer productivity. Working closely with distributed engineering teams, you will influence architectural decisions and build scalable platforms that make software development faster, safer, and more reliable. You will also help evolve developer environments to support increasingly autonomous AI-powered engineering workflows. Combining hands-on technical execution with strategic leadership, you will have the opportunity to drive meaningful improvements across the entire software development lifecycle. This is a high-ownership role where your work will directly influence engineering efficiency, platform reliability, and long-term technical scalability.
Accountabilities
Lead major platform engineering initiatives, starting with Continuous Delivery, from technical design and architecture reviews through implementation, deployment, and continuous improvement.
Deliver early improvements to developer productivity by strengthening CI reliability, optimizing merge workflows, automating deployments, and improving local development environments.
Drive architectural decisions across engineering teams, preparing technical proposals, leading design reviews, and ensuring successful implementation of platform-wide solutions.
Own and evolve cloud infrastructure, CI/CD pipelines, developer environments, observability systems, and operational tooling to support a scalable engineering organization.
Build the next generation of developer infrastructure through automation, self-service tooling, and reusable abstractions that reduce friction for engineers and increasingly autonomous AI agents.
Improve software delivery speed, deployment frequency, and operational reliability through continuous optimization of testing infrastructure and deployment workflows.
Strengthen production reliability by implementing effective monitoring, alerting, incident response practices, and long-term solutions to recurring operational issues.
Collaborate with distributed Platform and Engineering teams, sharing responsibility for production support, on-call coverage, and incident management during Americas business hours.
Lead broader engineering initiatives, including infrastructure standards, architecture governance, technical documentation, and organization-wide reliability practices.
Promote engineering excellence by mentoring peers, influencing technical standards, and fostering a culture of ownership, automation, collaboration, and continuous learning.
Requirements
Extensive experience in software engineering at Staff Engineer or equivalent level, with a proven track record of leading complex, cross-functional technical initiatives as a hands-on individual contributor.
Strong technical leadership capabilities, including experience influencing architectural decisions, improving engineering practices, and collaborating with engineering leadership to establish technical standards.
Demonstrated expertise in designing, building, and operating production cloud infrastructure, particularly on AWS, including ECS/Fargate, RDS, or equivalent services.
Solid experience with containerization technologies and Infrastructure as Code tools, particularly Terraform or Terragrunt.
Proven expertise in Continuous Integration and Continuous Delivery, with experience improving CI/CD pipelines, testing infrastructure, and deployment processes to achieve measurable gains in speed, frequency, and reliability.
Strong developer platform mindset, with experience building self-service tools, scalable developer environments, and internal platforms that improve the engineering experience.
Understanding of how to design developer infrastructure that supports automation and increasingly autonomous AI-driven software development workflows.
Experience designing and operating observable production systems using Datadog or equivalent monitoring and observability platforms.
Strong troubleshooting and incident management skills, with the ability to diagnose complex production issues, improve system resilience, and implement sustainable solutions.
Excellent communication and collaboration skills, with the ability to influence technical decisions across distributed teams and take ownership of initiatives from conception to delivery.
A proactive, hands-on approach to engineering, with a strong preference for building and implementing solutions rather than limiting involvement to advisory work or ticket management.
Benefits
Competitive salary package.
Fully remote working arrangement, offering flexibility and autonomy.
Opportunity to join an established Continuous Delivery initiative with strong organizational support and clear priorities.
A solid technical foundation, including established Datadog observability and existing deployment workflows, allowing you to focus on meaningful improvements rather than building everything from scratch.
Collaboration with an experienced, distributed Platform team, including dedicated engineering support across European and American time zones.
Significant technical ownership and influence over infrastructure strategy, architectural decisions, and developer platform evolution.
Opportunity to shape modern engineering environments that increasingly integrate automation and AI-powered development workflows.
High-impact work within a growing organization, where your contributions can directly improve engineering productivity and operational performance.
Inclusive and collaborative working culture built around ownership, continuous learning, simplicity, and thoughtful execution.
Opportunity to contribute to a meaningful mission focused on helping independent business owners build and grow sustainable businesses.
An environment that values diverse backgrounds, experiences, and perspectives, with accommodations available throughout the recruitment process.
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?
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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.
