Drive on-call and incident-response practices so pipeline, cloud, and hosting issues are caught before they hit customers or a dashboard.
Report on team health, system reliability, and roadmap progress to leadership.
As an engineer
Personally design, build, and maintain production systems across the team's domains — pipelines, cloud infrastructure, containerized services, and automation — not just review others' work.
Write and review code for data pipelines, devops tooling, cloud configuration (infrastructure-as-code), observability instrumentation, and backup/recovery solutions.
Own or co-own the most complex or cross-cutting technical problems — architecture decisions, major incidents, and backup/DR strategy and testing.
Use AI-assisted tools (Copilot, Cursor) to speed up your own development and debugging, and help the team adopt them effectively.
Write tested, version-controlled code and contribute to CI/CD practices that catch regressions — data-quality, infrastructure, or otherwise — before they ship.
Document architecture, data models, lineage, and operational runbooks so other teams can self-serve with confidence.
Who You Are & What You'll Need to Succeed
4-6 years of hands-on engineering experience across data pipelines, cloud infrastructure, or devops, including some experience leading projects, mentoring engineers, or formally managing a team.
Real experience building and operating production systems — not just one-off scripts — across at least two of: data pipelines, devops, cloud infrastructure, containerized hosting, observability, or backup/DR.
Solid experience with relational databases and dimensional data-warehousing concepts, and strong SQL skills.
Experience with public cloud platforms (AWS, Azure, GCP, or Oracle Cloud) — configuration, cost management, and security fundamentals.
Experience with containerized hosting (Docker, Kubernetes, or similar).
Experience with observability tooling (Datadog, Prometheus/Grafana, ELK, or similar) and backup/disaster-recovery practices.
Working proficiency in Python (preferred) or another language commonly used for data or platform engineering.
Comfortable using AI-assisted tools (Copilot, Cursor) to speed up development, debugging, and validation.
Strong communicator, able to translate ambiguous business needs into technical plans for both your team and stakeholders.
Bonus
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, or ClickHouse), orchestration tools (Airflow, Dagster, Prefect), or event-streaming tools (Kafka).
Prior experience formally managing an engineering team.
Why You'll Love Us
We’ve evolved. we provide three work environment scenarios. You can feel like a Newfolder in a work-from-home, hybrid, or work-from-the-office environment.
Work-life balance. Our work is thrilling and meaningful, but we know balance is key to living well.
We celebrate one another’s differences. We’re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees. We have 20 + affinity groups where you can network and connect with Newfolders globally.
Where can we take you? We’re fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with Bluehost #OTOD!
#Bluehost #LI-DB1
This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.
