
501 - 1000 employees
Founded 2011
âď¸ SaaS
đ¤ B2B
⥠Productivity
đ° Series C on 2021-09
SaaS ⢠B2B ⢠Productivity
PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.
đ December 12, 2025
AWS
Distributed Systems
Django
Grafana
Java
Kafka
Kubernetes
Postgres
Python
RabbitMQ
Spring
Spring Boot
SpringBoot
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501 - 1000 employees
Founded 2011
âď¸ SaaS
đ¤ B2B
⥠Productivity
đ° Series C on 2021-09
SaaS ⢠B2B ⢠Productivity
PandaDoc is a comprehensive document management solution that helps businesses streamline their document workflows. It offers a range of features including custom agreement generation, eSignatures, CPQ (configure, price, quote) capabilities, and real-time collaboration tools. PandaDoc is designed for ease of use, enabling teams to automate document creation and management processes, thus improving efficiency and reducing errors. The platform integrates with popular CRM systems, payment gateways, and other tools to facilitate seamless business operations. Focused on security and compliance, PandaDoc supports legal and secure electronic transactions, making it ideal for businesses looking to optimize their agreement management processes.
⢠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
⢠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.
⢠Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon. ⢠We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters). ⢠Work schedule aligned with EU time zones. ⢠Honest, open culture that values constructive feedback. ⢠Professional and personal development within a collaborative, supportive team. ⢠Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.
Apply Nowđ September 1, 2025
DevSecOps Engineer (Azure) for AI startup focusing on Azure automation, migration, observability, and DR. Collaborating with cross-functional teams to improve reliability and cost.
Ansible
AWS
Azure
Cloud
Distributed Systems
DNS
ElasticSearch
Google Cloud Platform
Grafana
Microservices
Postgres
Prometheus
Python
Redis
SQL
TCP/IP
Terraform