Senior Software Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in San Diego, United States"), this listing's salary midpoint is about 2% lower. The offer still falls within the benchmark range (€10,401–€19,316). The listed pay band (€10,742–€18,258) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Senior Software Engineer | €5,900/per month | €6,834/per month | €7,500/per month |
| All roles in San Diego, United States | €10,401/per month | €14,859/per month | €19,316/per month |
| From job ad (Senior) | €10,742/per month | €14,500/per month | €18,258/per month |
Flexible (Hybrid) position in San Diego; this role involves designing and implementing features and services within the Data Platform cloud-native platform, delivering work from implementation through production with limited guidance. You will break features into executable tasks, collaborate with staff and senior engineers, contribute to reliability and operability, spend most time hands-on building automation and platform services, and support junior engineers through code review and pairing. Qualifications include experience integrating AI into engineering work, 5+ years of software development with a Bachelor's degree (or 3+ years with a Master's), Kubernetes experience, exposure to major hyperscalers (AWS/Azure/GCP), containerization and CI/CD knowledge, and strong Go programming skills. Additional beneficial experience includes managed Kubernetes (EKS/AKS/GKE), Terraform, observability tooling, networking and security fundamentals, and on-call rotation exposure. Base pay for this location is $128,900 - $219,100 plus equity and benefits. Work personas describe flexible, remote, or in-office arrangements. Equal opportunity employer statement and accommodations information included.
Job Details
Responsibilities
- Design, build, and operate features and services within the cloud-native platform
- Break features into executable tasks and deliver iteratively
- Collaborate with staff and senior engineers to align with designs
- Contribute to reliability, scalability, and operability; write tests and instrumentation
- Spend most time hands-on building automation, tooling, and platform services
- Support junior engineers through code reviews and pairing
Requirements
- Experience integrating AI into software engineering work
- 5+ years of software development experience with a Bachelor's degree, or 3+ years with a Master's or PhD without experience
- Hands-on experience with Kubernetes
- Experience with at least one major cloud provider (AWS, Azure, GCP)
- Competence in containers, CI/CD, and Git-based workflows
- Go programming skills
Skills & Technologies
Education Level
Bachelor
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