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Salary analysis
Compared with the selected benchmark ("Market Average: Senior Level"), this listing's salary midpoint is about 91% lower. The offer sits below the benchmark range (€3,370–€5,796). The listed pay band (€325–€454) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: DevOps Engineer | €3,400/per month | €4,713/per month | €6,000/per month |
DevOps Engineer 2 (Intermediate) Sr. DevOps Engineer will be a key player on the Cloud Operations team responsible for all SaaS and Hosted services across the company's product portfolio. They will proactively work with Engineering, Product, IT, and other functional departments to design, implement, and operate our global customer-facing infrastructure on Google Cloud Platform (GCP). The ideal candidate brings strong hands-on GCP infrastructure and networking expertise, is a self-starter who thrives in a fast-paced environment, excels at problem solving, actively leverages AI and LLM tools to accelerate their work, and is committed to delivering seamless, highly available service experiences to enterprise customers worldwide. Responsibilities: • Design, build, and maintain resilient, secure, and highly available infrastructure for all SaaS and Hosted services on GCP to meet established SLAs • Design and manage secure, scalable GCP network architecture — including VPC design, VPC peering, shared VPC, Cloud Interconnect/VPN, Cloud NAT, firewall rules, and DNS • Automate deployment pipelines, monitoring, alerting, and incident response using modern CI/CD and GitOps practices • Monitor site stability and performance using GCP-native observability tooling (Cloud Monitoring, Cloud Logging, Error Reporting) and troubleshoot issues across the stack • Scale infrastructure to meet rapidly increasing demand using GCP autoscaling, load balancing, and cost-optimization best practices • Own end-to-end operational responsibility for all customer-facing SaaS and Hosted environments, including availability, performance, and change management • Manage cross-functional requirements working with Engineering, Product, Services, and other departments • Collaborate with developers to bring new features and services into production via containerized, Kubernetes-native deployment patterns • Develop and improve operational practices, runbooks, and procedures — using AI and LLM tools to accelerate automation, generate scripts, diagnose incidents, and improve documentation quality • Proactively meet standards for information security and compliance, such as ISO, SOX, SSAE 16, etc. Background & Experience: • 5+ years' experience in 24x7 production operations supporting a highly available SaaS or cloud service environment • Strong, hands-on experience with Google Cloud Platform (GCP) — including GKE, Cloud Run, Cloud Storage, VPC networking, IAM, and GCP-native monitoring and logging services • Strong, hands-on GCP infrastructure and networking experience — including VPC architecture, Cloud Interconnect/VPN, load balancing (GLB, ILB), Cloud DNS, firewall policies, and multi-region network design • Experience with containerization and image management using Docker; familiarity with container security best practices • CI/CD pipeline experience (Jenkins, GitHub Actions, ArgoCD, or equivalent); GitOps workflow experience a strong plus • Experience with Java applications and related J2EE technology stack • Proficiency in scripting languages (Python, Bash, or Go preferred); experience with infrastructure-as-code tools (Terraform, or equivalent) • Comfortable using AI and LLM tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar) as everyday productivity aids — for scripting, troubleshooting, documentation, and on-call investigation • Strong understanding of networking concepts (DNS, TLS, load balancing, service mesh) and troubleshooting techniques • Strong interpersonal and teaming skills — ability to set and enforce process and influence engineers who are not direct reports. Education: • Bachelor's degree in Computer Science or other technical discipline, or equivalent experience
Job Details
Responsibilities
- Design, build, and maintain resilient, secure, and highly available infrastructure on GCP for SaaS and Hosted services
- Design and manage secure, scalable GCP network architecture (VPC, peering, shared VPC, Cloud Interconnect/VPN, Cloud NAT, firewall rules, DNS)
- Automate deployment pipelines, monitoring, alerting, and incident response using CI/CD and GitOps practices
- Monitor site stability and performance using GCP observability tooling and troubleshoot across the stack
- Scale infrastructure using GCP autoscaling, load balancing, and cost-optimization practices
- Own end-to-end operational responsibility for all customer-facing SaaS and Hosted environments
- Collaborate with Engineering, Product, Services, and other departments
- Collaborate with developers to bring new features and services into production via containerized, Kubernetes-native deployment patterns
- Develop and improve runbooks and procedures using AI/LLM tools to accelerate automation, generate scripts, diagnose incidents, and improve documentation
- Proactively meet standards for information security and compliance (ISO, SOX, SSAE 16)
Requirements
- 5+ years' experience in 24x7 production operations supporting a highly available SaaS or cloud service environment
- Strong, hands-on experience with Google Cloud Platform (GCP) — including GKE, Cloud Run, Cloud Storage, VPC networking, IAM, and GCP-native monitoring and logging services
- Strong, hands-on GCP infrastructure and networking experience — including VPC architecture, Cloud Interconnect/VPN, load balancing (GLB, ILB), Cloud DNS, firewall policies, and multi-region network design
- Experience with containerization and image management using Docker; familiarity with container security best practices
- CI/CD pipeline experience (Jenkins, GitHub Actions, ArgoCD, or equivalent); GitOps workflow experience a strong plus
- Experience with Java applications and related J2EE technology stack
- Proficiency in scripting languages (Python, Bash, or Go preferred); experience with infrastructure-as-code tools (Terraform, or equivalent)
- Comfortable using AI and LLM tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar) as everyday productivity aids
- Strong understanding of networking concepts (DNS, TLS, load balancing, service mesh) and troubleshooting techniques
- Strong interpersonal and teaming skills — ability to set and enforce process and influence engineers who are not direct reports.
Skills & Technologies
Education Level
Bachelor
| Location | Active listings |
|---|---|
| Remote - Finland | 1 |
| Role type | Active listings |
|---|---|
| Technical Product Manager | 1 |
| Role level | Active listings |
|---|---|
| Senior | 1 |
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