PandaDoc

Senior Java Engineer

Remote
Java Spring Boot PostgreSQL Kafka Temporal JUnit AWS Docker Kubernetes SQL
Description

Senior Java Engineer, Document App

Location: Remote (Europe)

Department: Engineering

Senior Software Engineer

Company description

At PandaDoc, we're building the future of documents.
Our platform helps teams create, send, track, and e-sign proposals, contracts, and other documents, making our clients' lives more efficient and collaborative.

We’re a fast-growing company with a global reach. Our product is used by people around the world, from small businesses to large enterprises. In 2024, we reached a major milestone: over $100 million in annual recurring revenue! We're constantly innovating and releasing new features to meet the evolving needs of our customers, all while focusing on stability, quality, and performance.

Our Engineering team is a diverse and talented group of around 250 individuals, passionate about building a world-class product. While this is a fully remote position, we'd love for you to visit our vibrant offices in Warsaw, Lisbon, or Kyiv whenever you'd like to connect with colleagues in person.

Currently, PandaDoc is seeking a Senior Java Engineer to join our Document App Track.

The Document App Track focuses on the core entity of PandaDoc — documents. We build the systems that allow users to create, import, process, and export documents at scale. In this team, we are tackling the challenge of building and maintaining mission-critical backend services that power PandaDoc document import and export (PDF, DOCX, and other formats). Our goal is to ensure high system reliability, streamline release processes, and maintain production service stability. We own several business-critical services and are responsible for making them robust, efficient, and scalable to support our company’s growth.

Are you adaptable, driven, and friendly? Do you thrive in a fast-paced work environment where collaboration is the norm? If the answer is yes, then you’re a Panda, and we want you to join our team.

In this role, you will:

  • Design, build, test, and deliver features to production as part of a 5-person team.
  • Keep production services stable (maintaining SLO), react to alerts and incidents.
  • Face and overcome multiple scale-related technical problems in distributed systems.
  • Find and address systematic issues to maintain low time-to-change with high change-confidence levels.
  • Work on integrating AI-powered features (e.g. automatic field detection), collaborating with dedicated AI teams.
  • Participate in team activities and rituals: code review, on-call rotation, planning, PBR, retro, daily standups,
  • Collaborate with the broader team (track level, consisting of 5 teams)

Our stack:

  • Java 17/21 with Spring Boot 3
  • PostgreSQL 17 as our primary database
  • Kafka for async communication patterns
  • Temporal for managing asynchronous workflows
  • JUnit and automated testing frameworks
  • Amazon Web Services
  • Docker, Kubernetes
  • Distributed monitoring stack (traces, logs, metrics)

About you:

  • 5+ years of experience as a Software Engineer.
  • Experience working with production systems, including on-call responsibilities.
  • Strong experience with Java and Spring Boot (Java 17/21, Spring Boot 3).
  • Solid understanding of microservices architecture, distributed systems, and asynchronous communication (Kafka).
  • Experience with relational databases (SQL, performance optimization), ideally PostgreSQL.
  • Good knowledge of testing practices (JUnit, automated testing).
  • Strong system design and problem-solving skills.
  • Experience across the full development lifecycle, from design to deployment and monitoring.
  • Ability to stay calm and effective during incident handling.
  • Strong communication skills and ability to collaborate in English (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.

Benefits:

  • 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.

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.

PandaDoc
PandaDoc

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