Accountabilities

As Engineering Manager - Pipelines, you will lead the people, technical delivery, and operational responsibilities of the Pipelines engineering team, ensuring the successful development and reliability of complex data replication systems. Your key responsibilities will include:

Team Leadership and Development: Build and maintain a healthy, high-trust engineering culture within a globally distributed and remote-first team.

Conduct regular one-on-one meetings, manage performance evaluations, support career development, and oversee onboarding for direct reports.

Handle team administration, including leave management, time-off requests, and other people-related responsibilities.

Hiring and Team Growth: Own the team's hiring strategy and recruitment process, acting as the hiring manager and conducting initial interviews for all team positions.

Partner with Talent Acquisition to identify, attract, interview, and recruit high-performing engineering professionals.

Contribute to workforce planning, organizational design, headcount allocation, and the continued development of engineering leadership.

Roadmap and Delivery Management: Own the team's technical roadmap and project management processes, using Linear to establish priorities, milestones, and accountability.

Manage incoming requests and communications through Slack and other internal channels, ensuring cross-functional requests are appropriately prioritized, assigned, or challenged.

Coordinate weekly progress updates and maintain clear communication with stakeholders without introducing unnecessary administrative overhead.

Allocate engineering resources to customer support tickets and ensure the team consistently meets its Service Level Objectives (SLOs).

Identify and communicate technical risks, dependencies, priorities, and trade-offs to senior leadership in a timely manner.

Technical Quality and Reliability: Participate in technical design discussions and help establish high engineering standards across architecture, testing, deployment, and operations.

Ensure data pipeline systems maintain correctness, ordering, reliable replication, and effective recovery mechanisms.

Support the development and operation of PostgreSQL replication infrastructure, including logical replication, replication slots, and Write-Ahead Log (WAL) retention.

Incident Management: Train and operate as an Incident Commander, coordinating teams during production incidents and driving timely resolution.

Lead blameless post-incident reviews, ensuring lessons learned are translated into concrete follow-up actions and long-term reliability improvements.

Foster a culture of operational ownership, continuous learning, and proactive risk management.

Requirements

The ideal candidate is an experienced engineering leader with a strong technical background in data infrastructure and distributed systems, combined with a genuine passion for developing people and building effective teams. You should bring:

At least 5 years of software engineering experience, with sufficient technical depth to establish credibility with engineers working on complex infrastructure systems.

At least 3 years of experience managing remote engineering teams.

Previous experience leading teams responsible for building and operating data pipelines, change data capture (CDC), database replication, or streaming systems.

Strong technical understanding of data systems, including delivery guarantees, event ordering, idempotency, schema evolution, and backfill processes.

In-depth knowledge of PostgreSQL replication, particularly logical replication, Write-Ahead Logs (WAL), and replication slots, including their impact on production database performance.

Familiarity with analytical data destinations and platforms such as BigQuery, Snowflake, ClickHouse, and lakehouse table formats such as Apache Iceberg.

Proven experience leading teams through production incidents involving customer data, including coordinating resolution efforts and managing blameless post-incident reviews.

Experience delivering developer-facing data products to external customers.

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!

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