Overview
Title: Staff Engineering Manager (remote-only, Europe & CIS)
CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. We are truly a great place to work!
Endless Lifecycle Support (ELS) enables organizations to continue securely using Linux distributions and software languages that have reached end of life or no longer receive standard security support – delivering vulnerability patches for unsupported versions of CentOS, Ubuntu, Debian, Oracle Linux, PHP, Python, Spring frameworks, Angular/AngularJS, Django, Flask.
For more information, visit our website: https://tuxcare.com/endless-lifecycle-support/
You will be the primary people-leadership layer for ELS engineering: hiring, performance, development, and retention of leads and managers, while ensuring consistent processes, clear priorities, and alignment with department goals set by the Director. We expect you to use AI as a core management tool – for planning, reporting, analysis, and communication – so you operate efficiently and keep the Director and stakeholders informed without adding overhead.
People management
Day-to-day operations
Quality and standards
Partnership with the Director
– Execute on strategy: Turn department strategy and product priorities into clear goals, milestones, and team-level objectives.
– Filter and triage: Handle routine operational and people-management detail; bring only strategic, product, or customer-critical items to the director.
– Feedback loop: Provide the Director with structured input on team health, risks, and opportunities to inform strategy and roadmap.
To thrive in this role, we expect someone who has:
What’s in it for you?
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- Manage team leads and engineering managers: 1:1s, career development, performance reviews, and succession planning.
- Hiring and onboarding: Own hiring for lead/manager roles; support hiring plans and interview processes; ensure new leads and managers ramp effectively.
- Retention and engagement: Identify and act on engagement and retention risks; support well-being and sustainable pace across teams.
- Organizational design: Propose and implement reporting structure, spans, and role clarity in partnership with the Director.
- AI as a management tool: Use AI (e.g., Claude, ChatGPT, Cursor) to streamline 1:1 prep, performance notes, status summaries, and org updates; model effective use so leads and managers adopt it in their own work.
- Visibility of progress: Own department-level Jira configuration, boards, and workflows; establish and maintain measuring and visibility of progress in the age of AI-assisted engineering, so stakeholders have a clear, up-to-date view of delivery without constant status meetings.
- Delivery and execution: Oversee delivery across teams: sprint health, roadmap execution, and removal of blockers; use Jira and metrics to spot risks early; escalate strategic or cross-department issues to the Director.
- Process and workflow: Own and evolve department-level Agile/Scrum practices, Jira usage, and cross-team workflows; ensure consistency and continuous improvement.
- Resource and capacity: Allocate people and capacity across teams in line with priorities; balance short-term delivery with technical debt and improvement work.
- Cross-team coordination: Facilitate collaboration between ELS teams and with other departments (e.g., support, product, other engineering orgs).
- Engineering and management standards: Maintain and raise the bar for technical quality, AI adoption, and management practices across leads and managers.
- Metrics and reporting: Define and track department-level metrics (throughput, quality, retention, hiring); report to the Director and stakeholders as needed.
- Incidents and escalations: Own operational and people escalations; involve the Director for strategy, product, or customer-facing decisions.
- English: Upper-intermediate or better (written and spoken).
- Management of managers: 3+ years managing team leads and/or engineering managers in a remote-first environment.
- Engineering background: Solid technical background (e.g., Linux, packaging, scripting, or application security) so you can credibly coach leads and managers and understand delivery tradeoffs.
- Delivery and process: Strong experience with Agile/Scrum, roadmap execution, and cross-team delivery; leadership experience with Jira (boards, workflows, reporting) and establishing measuring and visibility of progress at team or department scale.
- People leadership: Proven ability to hire, develop, and retain technical leads and managers; experience with performance management, career frameworks, and difficult conversations.
- Operational ownership: Experience owning day-to-day operations (capacity, prioritization, process) while a senior leader focuses on strategy and external focus.
- Communication: Clear, structured communication with leads, managers, the Director, and stakeholders; ability to represent the department internally when needed.
- AI-augmented management: Comfort using AI tools (e.g., Claude, ChatGPT, Cursor) as a management tool for status updates, reporting, analysis, and written communication; you should be able to get more done with less overhead and keep progress visible without manual status churn.
- A strong focus on professional development with opportunities for learning and growth:
- Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide;
- Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves to ensure you maintain a healthy work-life balance;
- Compensation for private medical insurance;
- Co-working and gym/sports reimbursement;
- The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation.
- Experience in security or lifecycle support domains (e.g. CVE/patching, EOL support, TuxCare/ELS-style products).
- Experience driving AI adoption or engineering excellence initiatives across multiple teams; experience using AI for management tasks (reporting, status, analysis, 1:1 prep).
- Familiarity with CloudLinux or ELS products and customers.
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