Jobgether
Staff Engineer - Client Experience
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Staff Engineer - Client Experience
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer - Client Experience based in United Kingdom.
This is a senior technical leadership role focused on building robust, scalable systems that support global commerce and complex payment experiences.
You will tackle the most challenging engineering problems while shaping architecture, technical strategy, and long-term platform direction.
The role combines hands-on software development with mentorship, cross-functional leadership, and organization-wide technical influence.
You will work across cloud-native infrastructure, distributed systems, high-throughput services, and modern backend technologies.
As part of an AI-native engineering environment, you will also help define how AI-assisted development is applied across design, implementation, testing, and code review.
Your work will directly influence engineering standards, system reliability, performance, and the ability of teams to deliver complex products effectively.
Success means becoming a trusted technical voice while raising the engineering bar through architecture, mentorship, and consistently high-quality execution.
Accountabilities
- Provide technical leadership across engineering teams by setting high standards for software quality, architecture, reliability, and engineering practices.
- Mentor and coach engineers, support their technical development, and promote a culture of continuous learning and improvement.
- Architect, design, and build robust, scalable, and maintainable systems capable of supporting high-volume, low-latency workloads.
- Lead the resolution of complex technical challenges, applying strong architectural principles, design patterns, and engineering best practices.
- Drive complex, cross-team engineering initiatives from technical discovery through delivery, ensuring alignment with business objectives and timelines.
- Contribute to technical strategy, architecture roadmaps, and long-term engineering priorities in collaboration with product and organizational stakeholders.
- Work closely with Product, Design, and other stakeholders to translate complex technical concepts into clear decisions and actionable plans.
- Improve system performance and scalability through efficient algorithms, clean code, rigorous testing, and continuous technical optimization.
- Establish and promote strong automated testing practices across unit, integration, and end-to-end testing within Agile, DevSecOps, and CI/CD environments.
- Help shape AI-native engineering practices by using AI-assisted tools across development workflows and establishing effective approaches that can be adopted across teams.
- Strengthen engineering standards through technical reviews, tooling improvements, architectural guidance, and the introduction of practices that improve development quality.
- Within the first 6-12 months, take architectural ownership of at least one major system, become a trusted contributor to technical strategy, and demonstrate measurable impact through mentorship and engineering improvements.
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Requirements
- Extensive professional software engineering experience, with deep expertise in Go and/or Kotlin and strong full-stack engineering capabilities.
- Proven experience designing and building robust, scalable, and maintainable distributed systems, with strong knowledge of architecture principles, design patterns, and software engineering best practices.
- Demonstrated ability to analyze and solve complex technical problems and translate them into effective, maintainable solutions.
- Strong hands-on experience with AWS and cloud-native services such as RDS, ECS, EKS, S3, and related technologies.
- Excellent understanding of automated testing, including unit, integration, and end-to-end testing, within Agile, DevSecOps, and CI/CD workflows.
- Proven technical leadership experience, including mentoring engineers and influencing technical vision, strategy, architecture, and complex delivery.
- Strong analytical and problem-solving skills, with the ability to diagnose issues efficiently and make sound technical decisions.
- Advanced written and spoken English communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with technologies such as Kafka, SQS, PostgreSQL, Redis, Kubernetes, Docker, Terraform, Datadog, OpenTelemetry, GitHub Actions, and ArgoCD is highly relevant.
- Experience in payments or fintech, particularly within globally scaled environments, is preferred.
- Experience optimizing high-throughput, low-latency systems and applying efficient algorithms is an advantage.
- Familiarity with static analysis and code-quality tools such as SonarQube and mature CI/CD practices is beneficial.
- Experience with Python or other languages for data processing, tooling, and automation is a plus.
- A track record of introducing engineering practices or standards across multiple teams is highly valued.
- Open-source contributions, technical writing, or other activities that demonstrate technical influence are considered an additional advantage.
- Ability to work effectively in a remote, distributed, and international environment.
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Benefits
- Competitive compensation.
- Fully remote working environment with the flexibility to work from different locations.
- One-time home office allowance to help create an effective workspace.
- Company-provided work equipment.
- Stock options.
- Health plan available wherever you are.
- Flexible days off.
- Access to language, professional, and personal development courses.
- Opportunity to work on globally scaled systems and complex technical challenges.
- Significant autonomy and influence over architecture, engineering practices, and technical strategy.
- Opportunity to shape AI-assisted engineering practices within an AI-native environment.
- Collaborative international culture with strong opportunities for technical leadership and career growth.
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.
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.
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