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Engineering Manager - Python and K8s
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Engineering Manager - Python and K8s
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager - Python and K8s based in United Kingdom.
This role offers the opportunity to lead a team building modern, automated solutions for complex business operations at global scale. You will help transform internal infrastructure and business workloads into reliable, productized services running on Kubernetes. As an engineering leader, you will combine people management and technical leadership, guiding engineers while remaining close enough to the technology to contribute directly. You will shape software architecture, engineering standards, testing practices, documentation, and delivery processes. Working in a highly distributed environment, you will collaborate with engineers and leaders across regions and help foster a strong culture of quality and continuous improvement. The role is ideal for someone who enjoys developing people, embracing new technologies, and applying software engineering practices to improve how infrastructure is operated.
Accountabilities
- Lead a regional engineering team focused on productizing business workloads and delivering reliable, automated operations on Kubernetes.
- Build, manage, and grow a high-performing team of engineers through coaching, mentoring, regular feedback, and career development.
- Provide hands-on technical leadership and contribute directly to engineering goals while maintaining an effective balance between management and technical contribution.
- Establish and maintain sound software architecture, engineering practices, testing standards, documentation, and overall software quality.
- Set realistic delivery schedules based on thoughtful estimates and continuously improve planning through feedback and iteration.
- Set and manage expectations with other engineering teams, technical leaders, and external stakeholders to ensure effective delivery and alignment.
- Promote modern agile software development practices and encourage continuous improvement across the team.
- Foster a healthy, collaborative engineering culture built around technical excellence, ownership, learning, and high-quality delivery.
- Participate actively in the broader engineering leadership team and collaborate with other leaders on organizational strategy and execution.
- Support a globally distributed engineering environment while working primarily from home and traveling internationally for internal and external events, with travel of up to 20%.
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Requirements
- Proven experience in engineering leadership, including a track record of developing, mentoring, and growing strong engineering teams.
- Strong software engineering background with substantial Python development experience.
- Hands-on experience with Docker and Kubernetes operations, with a solid understanding of modern cloud-native infrastructure.
- Experience developing Python frameworks and a strong understanding of the importance of stable, maintainable, and consumable APIs.
- Strong knowledge and passion for software development, engineering practices, and delivering high-quality production software.
- Experience working within an agile software development environment and applying modern development methodologies.
- Demonstrated ability to balance technical contribution with people management and organizational leadership.
- Ability to make sound technical decisions, challenge existing approaches, and guide engineers toward effective solutions.
- Strong communication and stakeholder-management skills, with the ability to set expectations and collaborate effectively across distributed teams.
- Genuine enthusiasm for emerging technologies and for finding new ways to improve the operation of software and infrastructure.
- Interest in building products and platforms that make software operations more efficient, reliable, and accessible at scale.
- Strong ownership, initiative, and problem-solving skills, with the ability to operate effectively in a distributed and fast-changing environment.
Benefits
- Distributed, work-from-home environment with opportunities to collaborate with colleagues around the world.
- Twice-yearly in-person team sprints and opportunities to meet colleagues in new international locations.
- USD 2,000 annual personal learning and development budget.
- Annual compensation review.
- Performance-driven annual bonus or commission.
- Recognition and rewards programs.
- Annual holiday leave.
- Maternity and paternity leave.
- Team Member Assistance Program and wellness platform.
- Opportunities for international travel and in-person collaboration.
- Priority Pass access and travel upgrades for eligible long-haul company events.
- Opportunity to work with modern Python, Kubernetes, Docker, Linux, and open-source technologies.
- Significant scope to influence engineering culture, technical practices, and the way complex infrastructure workloads are operated.
- Inclusive, globally distributed environment that values diversity of experience, perspectives, and backgrounds.
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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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