Engineering Manager - Solutions Engineering

Role overview

This role is being shared on behalf of a partner organization, which will handle applications and all subsequent hiring steps. The hiring company is seeking an Engineering Manager - Solutions Engineering based in Ireland.

The position blends software engineering leadership, cloud infrastructure, and customer-oriented technical delivery. You will guide a distributed team of Python engineers building and improving infrastructure automation systems that support large-scale environments, including private clouds, Kubernetes deployments, and bare-metal operations. The role combines hands-on technical contribution with people leadership, so you will shape architecture decisions while also supporting the growth of individual engineers.

You will work closely with operations teams and other stakeholders to turn real infrastructure challenges into scalable, model-based solutions. This is a high-impact position where your leadership will help shape product direction, the engineering culture, and customer outcomes. You will operate in a globally distributed setting with a strong emphasis on autonomy, accountability, and engineering quality. The role is well suited to someone who enjoys developing teams as much as developing systems.

Accountabilities

• Guide, coach, and develop a distributed group of Python engineers, with a focus on performance, career growth, and strong technical standards.
• Lead the architecture, buildout, and delivery of infrastructure automation and software solutions for large-scale cloud and bare-metal environments.
• Remain hands-on in the codebase while setting technical direction and upholding high engineering standards.
• Set team goals, define execution plans, and monitor progress so the team stays aligned with broader business objectives.
• Work with product, operations, and engineering partners to influence technical strategy and delivery priorities.
• Build a culture centered on quality, including testing, documentation, performance, and reliability.
• Promote modern development practices, agile ways of working, and a mindset of continuous improvement.
• Serve as a communication bridge between teams and help maintain clarity and alignment across internal and external stakeholders.

Requirements

• Demonstrated experience managing and mentoring software engineering teams, preferably in a distributed or remote-first setup.
• Strong Python development background with practical, hands-on engineering experience.
• Good working knowledge of cloud computing and modern infrastructure technologies such as OpenStack and Kubernetes.
• Experience administering Linux systems, along with exposure to storage, networking, and system operations.
• Solid software engineering fundamentals, including design, testing, and scalable architecture.
• Ability to combine technical depth with team leadership, coaching, and organizational alignment.
• Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• Experience working in agile environments and delivering complex software incrementally.
• Strong problem-solving ability and a proactive, ownership-driven approach to continuous improvement.
• Nice to have: experience with infrastructure-as-code, multi-cloud environments, or Go programming.

Benefits

• Competitive worldwide compensation with bonus potential tied to performance.
• Fully remote working model with distributed global collaboration.
• Annual learning and development allowance to support ongoing growth.
• Regular in-person team sprints and international company meetups.
• Health and wellness support programs.
• Generous annual leave and parental leave policies.
• Opportunities to travel for collaboration with global teams and company events.
• Recognition rewards and yearly compensation reviews.

Data processing and hiring process

Applications are reviewed through an AI-assisted matching process designed to assess candidates against the role’s core requirements in a quick, objective, and fair way. The system identifies strong matches and shares a shortlist with the hiring company. Final decisions, including interviews and assessments, are handled by the company’s internal hiring team.

By submitting an application, candidates acknowledge that personal data will be processed for recruitment evaluation and shared with the hiring employer in line with applicable data protection laws, including GDPR. Applicants may exercise rights such as access, rectification, erasure, and objection at any time.

AI tools may also be used during parts of the hiring workflow, including application review, resume analysis, response evaluation, and detection of potential inconsistencies or verification signals in submitted materials. These tools support recruiters but do not replace human judgment, and final hiring decisions are made by people.