Senior Backend Engineering Manager

StrangeBee SAS

Paris

Sur place

EUR 80 000 - 100 000

Plein temps

14 jours+

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Résumé du poste

StrangeBee SAS is seeking a Senior Backend Engineering Manager to oversee a team working on their incident response platform, TheHive. Your primary role will be to foster an environment that encourages collective excellence among engineers.

You will drive people development, ensure smooth collaboration across teams, and facilitate complex technical decisions, all within a fast-paced cybersecurity environment. Ideal candidates will possess strong technical and leadership skills, guiding the team towards autonomy and high-quality outcomes.

Qualifications

  • Solid backend engineering culture: web architecture, APIs, databases, and feature lifecycle.
  • Ability to understand technical challenges without necessarily being a hands-on expert in all.
  • Strong understanding of quality practices: testing, CI/CD, code reviews, and technical debt management.

Responsabilités

  • Lead a cross-functional team of engineers focused on incident response platform.
  • Run regular 1:1s and structured feedback sessions for growth.
  • Facilitate complex technical decisions and encourage autonomy.

Connaissances

Backend engineering culture
APIs
Databases
Quality practices
Git
AI applications

Outils

Golang
GitHub Actions
Temporal
PostgreSQL
sqlc
Docker
OpenAPI

Description du poste

Job description

As Senior Backend Engineering Manager at StrangeBee, you will lead a cross-functional team of 6 to 8 engineers working on our incident response platform, TheHive. Your role is not to be the best developer in the room — it's to create the conditions for the team to be collectively excellent. You will drive people development, facilitate technical decision-making, and ensure smooth cross-team collaboration in a fast-moving cybersecurity environment.

Responsibilities
Leadership & people development
  • Run regular 1:1s and structured feedback sessions to support each engineer's growth and identify development opportunities.
  • Recruit, onboard, and develop talent, with a strong focus on team culture.
  • Foster autonomy and ownership: encourage engineers to surface blockers, propose solutions, and continuously improve their practices.
  • Create an environment where healthy technical debate and constructive feedback thrive.
  • Build bridges between engineers working across different product areas.
Technical decision support & autonomy
  • Facilitate (rather than make) complex technical decisions: ask the right questions, structure options, and align perspectives.
  • Help the team develop its own technical judgment rather than creating dependency on your expertise.
  • Act as a sparring partner for tech leads and senior engineers on topics of architecture, quality, and engineering practices.
  • Champion a culture of continuous improvement: retrospectives, knowledge sharing, and thoughtful adoption of new tools, including AI in development workflows.
Cross-team coordination & alignment
  • Serve as the primary point of contact for teams collaborating with engineering.
  • Proactively identify dependencies, risks, and inter-team friction points, and address them before they become blockers.
  • Communicate a clear picture of the platform's technical state and improvement areas to relevant stakeholders.
  • Promote consistency in technical practices across teams, without imposing a top-down vision.
What success looks like (6–12 months)
  • The team makes technical decisions autonomously, with confidence and a structured approach.
  • Engineers visibly grow: skills develop, initiative increases, engagement strengthens.
  • Cross-team collaboration is smooth: other teams know who to reach out to, and blockers are resolved quickly.
  • Quality practices are owned by the team itself, not imposed from the outside.
  • Technical debt is mapped and clearly communicated to stakeholders.
  • The team delivers on time.
Requirements
Technical skills
  • Solid backend engineering culture: web architecture, APIs, databases, and feature lifecycle.
  • Ability to understand technical challenges without necessarily being a hands‑on expert in all of them.
  • Strong understanding of quality practices: testing, CI/CD, code reviews, and technical debt management.
  • Comfortable with Git and continuous integration tooling.
  • Genuine interest in AI and its practical applications in software development.
Leadership & soft skills
  • Clear communicator, both written and verbal, across multi‑team and multi‑stakeholder contexts.
  • Trust builder: able to create a safe environment where people feel empowered to speak up, take risks, learn, and grow.
  • Autonomy enabler: knows when to guide, when to question, and when to step back.
  • Influential without direct authority: able to align and convince without relying on hierarchy.
  • Decision facilitator: structures debates, clarifies options, and helps the team choose without choosing for them.
  • Adaptable in a fast‑moving environment with varied stakeholders.
  • Forward‑thinking: able to give meaning to the team’s work and project a mid‑term vision.
  • Data‑driven mindset: relies on concrete indicators to steer priorities and measure progress.
Stack & Tools

Golang, GitHub Actions, Temporal, PostgreSQL, sqlc, Docker, OpenAPI

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