or apply directly on Placer.ai's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 63 days Placer.ai's roles stay open a median of 73 days
- Reposted
- No
- Salary listed
- No 59% of Placer.ai's roles list one
- Ghost-job risk at Placer.ai
- high 14 stale, 1 reposted of 17 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Placer.ai's own greenhouse board since 2026-08-03. Full hiring picture for Placer.ai.
About this role
As a Senior Backend Engineer on the Data Export Team at Placer.ai, you will lead the architecture and development of backend microservices for a distributed ETL infrastructure. Your responsibilities will include owning microservices end-to-end, driving performance and reliability of data pipelines, and collaborating with cross-functional teams to integrate complex data movement requirements.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Placer.ai as an employer.
What you need
- 5+ years of backend engineering experience designing, operating, and scaling distributed microservices
- Hands-on experience architecting data-intensive systems and high-throughput batch or real-time pipelines
- Strong proficiency across diverse database technologies (relational, analytical warehouses like Postgres, Databricks, and Snowflake)
- Strong foundation in core system design, data structures, clean API design, automated testing, and production observability
- Excellent proficiency with cloud environments (AWS or GCP) and Infrastructure-as-Code (Terraform)
- Demonstrated use of AI tools to work more efficiently and curiosity for applying them
Nice to have
- Strong proficiency with Python as a core backend language
- Hands-on experience writing PySpark batch and streaming jobs
What you get
- Competitive salary
- Excellent benefits
- Fully remote
Worth weighing
- No salary listed
- Focus on backend microservices may limit exposure to frontend technologies
- Emphasis on AI tools integration may require a willingness to adapt to new technologies
Summarised from Placer.ai's posting. Read the full original.
Listed by Placer.ai on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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