Staff DevOps Engineer
Archer · San Jose, California, United States
Posted about 3 months ago · $190,000 - $237,000
or apply directly on Archer's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Archer's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 93% of Archer's roles list one
- Ghost-job risk at Archer
- high 156 stale, 5 reposted of 158 open
- Hiring momentum
- 226 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Archer's own greenhouse board since 2026-08-03. Full hiring picture for Archer.
About this role
As a Staff DevOps Engineer at Archer, you will be responsible for architecting, developing, and scaling backend systems and distributed infrastructure that support advanced AI products. Your role will involve building real-time data pipelines, managing cloud infrastructure, and collaborating with cross-functional teams to ensure the reliability and performance of AI applications. You will also mentor team members and oversee the full development lifecycle from system design to deployment.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
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 Archer as an employer.
What you need
- BS/MS/PhD degree in Computer Science, Software Engineering, or a related technical field
- 5+ years of professional software engineering experience with a heavy focus on backend systems, distributed architectures, and infrastructure management
- Strong proficiency in Java, Python and/or Rust
- Production experience with stream-processing frameworks, specifically Apache Flink
- Experience setting up observability stacks (eg Grafana, Prometheus, ELK, etc.)
- Solid experience with containerization and orchestration (Docker, Kubernetes)
Nice to have
- Deep experience with Apache Pulsar (or Kafka)
- Rust experience with async runtimes (Tokio)
- Experience architecting real-time media pipelines using WebRTC
- Deep understanding of audio codecs, specifically optimizing server-side Opus encoding/decoding
- Familiarity with MLOps frameworks, GPU orchestration in Kubernetes, and serving LLMs at scale
What you get
- Base pay between $190,000 - $237,000
- Pay-for-performance culture
Worth weighing
- No specific mention of remote work options
- High emphasis on collaboration with cross-functional teams which may require in-office presence
- Job description states it does not include an exhaustive list of responsibilities and qualifications
Summarised from Archer's posting. Read the full original.
Listed by Archer on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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