PandaDoc

SaaS

MiddleDevOpsEngineer

Remote (Europe) Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Middle DevOps Engineer at PandaDoc. Skills: DevOps, Platform Engineering, SRE, AWS, Kubernetes, Infrastructure as Code (IaC), CI/CD. design, construction, and maintenance of core infrastructure. enhancing developer experience by owning shared infrastructure tools, services, and environments”

What You'll Achieve.

enhancing the entire developer experience; evolving our infrastructure into a more autonomous, self-service platform; reducing human error and support burden; improving network performance and stability; maintaining a high availability target of 99.99%

Industry & Context.

SaaS
Problems you'll solve

analytical and problem-solving skills

Eligibility Requirements

on-call rotation

What They're Looking For.

Must Have

Minimum of 4 years of professional experience in a DevOps, Platform, or SRE role, Focus on operating and troubleshooting production environments built on AWS and Kubernetes (EKS), Proven experience contributing to the design and maintenance of CI/CD pipelines and IaC infrastructure for large-scale microservice architectures, Proficiency in Kubernetes, Proficiency in Terraform for provisioning cloud resources (AWS) and managing infrastructure as code (IaC), Deep understanding of CI/CD principles and tooling (e.g., GitLab/GitHub, Jenkins), scripting skills (Bash, Python/Go) for automation, grasp of Networking fundamentals (VPC, DNS, Load Balancing), Solid understanding of Observability, Solid understanding of DevSecOps, Solid understanding of basic FinOps (cloud cost estimation) practices, Excellent communication and collaboration skills, ability to clearly articulate complex issues to both technical and non-technical stakeholders, analytical and problem-solving skills, taking full ownership of tasks, managing multiple priorities in a fast-paced environment

Nice to Have

degree in Computer Science or IT, Certified Kubernetes Administrator (CKA), relevant certifications from major cloud providers (e.g., AWS Certified SysOps Administrator), Familiarity with AI/ML-related services (e.g., AWS Bedrock, SageMaker)

What You'll Do.

and maintenance of core infrastructure

enhancing developer experience by owning shared infrastructure tools

evolving infrastructure into a more autonomous

self-service platform

driving the IaC 2.0 initiative

modernizing Terragrunt-based repositories

eliminating configuration drift

ensuring 100% IaC coverage

exploring and implementing AI-driven tools for configuration reviews and impact analysis

leading the evaluation of GitOps for strategic use-cases

simplifying K8s cluster configurations

managing Staging environment states

potentially replacing current CD implementations

enhancing EKS control plane observability

experimenting with nftables adoption

Analyze and implement infrastructure designs for services and shared components

managing them as Infrastructure as Code (IaC) using tools like Terraform and Helm within our cloud environment (AWS)

Design and implement robust CI/CD pipelines

own the full delivery lifecycle of infrastructure tools

and components from development testing through to production rollout

Actively participate in regular support cadences to provide hands-on technical assistance and expertise to development teams regarding platform adoption and usage

Integrate and maintain monitoring

and alerting components for platform services

participate in the team's on-call rotation for immediate incident mitigation within the platform ownership scope

Collaborate closely with the Security team to embed DevSecOps best practices and guardrails

ensuring the security and compliance of the platform and delivery process

Drive continuous improvements in platform tooling usability

deployment efficiency

and environment stability

How You'll Work.

Team & Collaboration

collaboration skills; articulate complex issues to both technical and non-technical stakeholders; Collaborate closely with the Security team

Communication Scope

Excellent communication skills; ability to clearly articulate complex issues to both technical and non-technical stakeholders

Process & Methodology

managing multiple priorities

Full Job Description

We are seeking a proactive and self-sufficient DevOps Engineer to join our team. You will be instrumental in the design, construction, and maintenance of our core infrastructure. Your focus will be on enhancing the entire developer experience by owning the shared infrastructure tools, services, and environments that enable speed, reliability, and security across the organization. Your Mission for 2026: You will play a key role in evolving our infrastructure into a more autonomous, self-service platform. Over the first 6 – 12 months, your impact will be focused on: Infrastructure Evolution: Driving the IaC 2.0 initiative – modernizing our Terragrunt-based repositories, eliminating configuration drift, and ensuring 100% IaC coverage. You will explore and implement AI-driven tools for configuration reviews and impact analysis, reducing human error and support burden. GitOps Evaluation: Leading the evaluation of GitOps for three strategic use-cases: simplifying K8s cluster configurations, managing Staging environment states, and potentially replacing current CD implementations for our products. Platform Reliability: Enhancing EKS control plane observability and experimenting with nftables adoption to improve network performance and stability. About Our Environment Our product supports over 67k B2B customers, managing business-critical document workflows that demand top availability and performance even under high load. Our highly resilient infrastructure runs on AWS and Kubernetes (EKS). We operate a service-oriented architecture comprising hundreds of microservices written primarily in Python and Java. Services interact using synchronous protocols (NATS, gRPC) and asynchronous, event-driven operations (RabbitMQ, Kafka, Debezium, and Flink). We manage hundreds of databases, predominantly PostgreSQL, with exposure to MySQL, MongoDB, OpenSearch, and Redis, handling many TBs of data. Due to the scale and complexity of this environment, all infrastructure management and ser

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