Senior Site Reliability Engineer

Site Reliability Engineers (SREs) are essential to PandaDoc's success, ensuring customers receive a reliable service with minimal downtime.

The SRE team achieves this by:

• Owning the incident management processes and tools.
• Managing the observability stack and alerting systems to enable timely investigation and mitigation.
• Actively contributing to service codebases to proactively prevent incidents and resolve performance bottlenecks.

In essence, SREs are the cornerstone of production service resiliency, driving efforts in observability, incident management, capacity planning, and maintaining reliable operations. 

In this role, you will:

• Own and influence the incident management process end-to-end
• Maintain and evolve on-prem observability stack
• Keep production applications running smoothly by participating in the on-call rotation
• Develop automations and tools to support platform reliability
• Contribute to production services with performance and resiliency in mind
• Collaborate with product engineers to foster SRE principles within the R&D organization
• Be a mentor for the SRE team or product engineers

About you:

• Solid programming experience, namely Python (Django and AsyncIO)  and/or Java (Spring Boot)
• Experience in maintaining an observability tools suite (specifically, LGTM - Loki, Grafana, Tempo, Mimir)
• Experience in development and maintenance of Python services in production
• Strong experience with AWS and Kubernetes
• Solid proficiency in working with relational databases (PostgreSQL) and messaging systems (e.g. RabbitMQ, NATS, Kafka)
• An experienced on-call SRE engineer 
• Enjoy hands-on troubleshooting of distributed systems in production environments
• You act like an owner and strive to do work you're proud of
• You enjoy communication and knowledge sharing on all-things reliability
• Proficiency in English, both written and spoken

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Salary

Salary range: 29,000 - 34,500 PLN per month

Benefits

Our team members and their families have access to comprehensive benefits including:

• Multisport Card for fitness and wellness activities (individual or family plan)
• LuxMed healthcare coverage (individual or family plan)
• UNUM life insurance protection (individual or family plan)
• Onboarding benefit allowance that can be used for necessary work equipment and setup
• 6 self-care days beyond standard Polish vacation entitlements 
• Wellness, learning and development budgets
• Employees may be able to purchase company stock or receive annual bonuses.

 

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

 

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.