Engineering Manager - Solutions Engineering
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About the Role
We are looking for an Engineering Manager to lead a distributed team of Python engineers building infrastructure automation solutions for large-scale cloud and bare-metal environments.
Key Skills for This Role
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Overview
This position is listed on behalf of a partner company, who manages all applications and next steps.
Our partner is looking for an Engineering Manager - Solutions Engineering based in United Arab Emirates.
This role sits at the intersection of software engineering leadership, cloud infrastructure, and customer-facing technical delivery.
You will lead a distributed team of Python engineers focused on building and evolving infrastructure automation solutions that power large-scale systems such as private clouds, Kubernetes environments, and bare-metal operations.
The work combines hands-on technical leadership with people management, requiring you to guide architecture decisions while also coaching engineers in their day-to-day growth.
You will collaborate closely with operations teams and stakeholders to translate real-world infrastructure challenges into scalable, model-driven solutions.
This is a highly impactful role where your leadership directly influences product direction, engineering culture, and customer success.
You will operate in a globally distributed environment with strong autonomy, high expectations, and a focus on engineering excellence.
The position is ideal for someone who enjoys building teams as much as building systems.
Accountabilities
- Lead, mentor, and grow a distributed team of Python engineers, ensuring strong performance, career development, and technical excellence.
- Drive the design and delivery of infrastructure automation and software solutions for large-scale cloud and bare-metal environments.
- Contribute directly to codebases while providing technical leadership and setting high engineering standards.
- Define, plan, and track execution of team objectives, ensuring alignment with broader organizational goals.
- Collaborate with product, operations, and engineering stakeholders to shape technical direction and delivery priorities.
- Foster a high-quality engineering culture focused on testing, documentation, performance, and reliability.
- Advocate for modern software development practices, agile methodologies, and continuous improvement.
- Act as a key liaison between teams, ensuring clear communication and alignment across internal and external stakeholders.
Requirements
- Proven experience leading and mentoring software engineering teams, ideally in a distributed or remote-first environment.
- Strong background in Python software development and hands-on engineering experience.
- Solid understanding of cloud computing concepts and modern infrastructure technologies (e.g., OpenStack, Kubernetes).
- Experience with Linux systems administration and familiarity with storage, networking, and system operations.
- Strong software engineering fundamentals, including design, testing, and scalable system architecture.
- Ability to balance technical depth with people leadership, coaching, and organizational alignment.
- Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders.
- Experience in agile environments and delivering complex software projects iteratively.
- Strong problem-solving skills and a proactive mindset focused on ownership and continuous improvement.
- Bonus: experience with infrastructure-as-code, multi-cloud environments, or Go programming.
Benefits
- Competitive global compensation with performance-based bonuses.
- Fully remote, distributed work environment with global collaboration.
- Annual learning and development budget to support continuous growth.
- Regular in-person team sprints and international company gatherings.
- Comprehensive health and wellness support programs.
- Generous annual leave and parental leave policies.
- Travel opportunities to collaborate with global teams and attend company events.
- Recognition rewards and annual compensation reviews.
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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