House Engineering Manager - Data Foundations
Remote Ireland
LocationOur House Engineering Manager will be an integral part of our Engineering Leadership team in EMEA. This role is based remotely in the UK, Ireland, Sweden, Estonia or Israel.
Who We AreDoiT is a global technology company that works with cloud‑driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well‑architected and scalable state— from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award‑winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
The Opportunity The House Engineering Manager is a hands‑on leadership role centered on enablement and delivery. Your primary responsibility is to ensure the House consistently delivers on its commitments by unblocking engineers, maintaining focus, and creating an environment where the team can perform at its highest potential. This is a technical role: you are expected to review engineering work, provide clear technical direction, and contribute to the codebase when needed. The balance between technical contribution and leadership depends on the team’s context, but your overarching mandate is to enable the team and own the execution and delivery of the House by having in‑depth understanding and to be able in‑practice be hands‑on on the team domain.
Responsibilities
Leading a team of 5 to 10 engineers
Driving ceremonies and the day‑to‑day operations of the team.
Be the enabler of the team, ensuring members are unblocked quickly and understand what they need to deliver and the value the delivery brings to users.
Managing the professional well‑being and career development of team members.
Managing team member performance, providing continuous feedback and mentoring.
Supporting the engineering release process, monitoring deployments, and upholding Production branch standards.
Reviewing pull requests thoroughly and providing clear, actionable, constructive feedback.
Leading and collaborating on technical design discussions, ensuring alignment on architecture and implementation approaches, and diving into details when necessary.
Driving and owning the technical roadmap, assessing technical debts, and ensuring components scale and remain healthy.
Maintaining an AI‑Driven mindset and evolving the team around AI‑driven development.
Working closely with the Technical Product Owner and UI/UX Designer to define, plan, and structure each sprint, ensuring priorities are well understood and the house commits to a focused, valuable, and achievable delivery.
Co‑ordinating roadmap with the Technical Product Owner, balancing sprint commitments with customer‑facing responsibilities.
Following an AI‑Driven software development lifecycle, with human design and quality oversight while engineers plan, review, and AI executes.
Day‑to‑day communication: Upwards – communicating with leadership; Downwards – empowering senior engineers; Sideways – collaborating with other houses.
Qualifications
Proven experience leading an engineering team (typically 5+ engineers) in a delivery‑focused environment (3+ years).
Past experience as a software engineer for at least 5+ years.
Strong hands‑on technical background with the ability to review code, guide design decisions, and dive deep when needed.
Experience owning delivery and execution, including sprint planning, backlog management, and release readiness.
AI‑Driven mindset, defaulting to AI while ensuring quality and consistency.
Demonstrated ability to mentor, coach, and grow engineers through regular feedback and performance management.
Strong communication skills and ability to translate business context into clear technical direction.
Experience working in a SaaS, cloud‑native, or distributed systems environment.
Technical Experience
Strong hands‑on experience with Golang and Node.js (backend services, APIs, real‑time systems).
Strong hands‑on experience with React (complex state management, performance optimization, large‑scale front‑end applications).
Strong hands‑on experience building Data Pipelines in an orchestrated manner using technologies such as Dagster or Airflow (or others).
Solid experience designing and operating systems in cloud environments (AWS, GCP, Azure).
Strong understanding of cloud fundamentals, managed pipeline orchestration, compute, and API analysis for data extraction and transformation.
Familiarity with Infrastructure as Code tools such as Terraform or similar.
Understanding of distributed systems concepts including consistency, availability, observability, and fault tolerance.
Strong knowledge of system reliability, performance tuning, and production incident management.
Bonus Points
Experience in cloud native applications.
Hands‑on experience with more than a single cloud provider.
Background in scaling teams, processes, or technical systems as the organization grows.
Full‑time Employee Benefits
Unlimited Vacation
Flexible Working Options
Health Insurance
Employee Stock Option Plan
Professional Development Stipend
Many Do’ers, One Team. DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
At DoiT International, our unwavering dedication to cultivating a diverse and inclusive workplace remains paramount. In line with this commitment, we are presently engaged in the collection of gender data to assess and fortify our diversity and inclusion programs. It is imperative to emphasize that the information collected is meticulously segregated from your employment records and holds no bearing on any employment‑related determinations. We wish to underscore that your privacy is rigorously safeguarded as DoiT International processes gender data in an aggregate and de‑identified manner. Be assured that under no circumstances will this information be divulged or disseminated externally in a manner that compromises anonymity. While the provision of this information is entirely voluntary, we extend an invitation for you to consider self‑identifying. Such voluntary contributions substantiate and fortify DoiT's steadfast commitment to fostering diversity and inclusion within our organizational fabric.
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