Senior Infrastructure Engineer: Scale Real-Time AI (Hybrid)

Nectar; Palo Alto (CA); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Housing stipend

Mobile stipend

Internet stipend

Commuter benefits

Free lunch

Job summary

Nectar is seeking a Senior Software Engineer, Infrastructure in Palo Alto to own reliability, scalability, and operational excellence for our production systems. We run high-volume data ingestion pipelines and real-time AI workloads powering a growing customer base.

You’ll drive SLOs/SLIs, incident response, and systemic improvements across cloud infrastructure, IaC, deployment, and CI/CD, in a startup environment with high ownership and autonomy.

Qualifications

• 5+ years of experience operating production systems as an SRE, infrastructure, or platform engineer.
• Experience scaling databases, data infrastructure, or complex production platforms under significant load.
• Hands-on expertise with cloud infrastructure (AWS or similar) and infrastructure-as-code tooling.

Responsibilities

• Own the reliability and scalability of our production systems as they handle rapidly growing volumes of social data and real-time AI workloads
• Define and drive SLOs, SLIs, and error budgets, and build observability, alerting, and on-call practices to support them
• Lead incident response and blameless postmortems, then turn what we learn into systemic improvements that prevent recurrence
• Improve performance, cost efficiency, and capacity planning across our cloud infrastructure as the platform scales
• Harden our infrastructure-as-code, deployment, and CI/CD pipelines for resilience and repeatability
• Partner with engineering teams to embed reliability into system design and raise the operational bar across the org

Skills

SRE experience

Cloud skills

Automation scripting

On-call readiness

Cost optimization

Tools

AWS

Pulumi

Postgres

ClickHouse

Temporal

Job description

Nectar is seeking a Senior Software Engineer, Infrastructure in Palo Alto to own reliability, scalability, and operational excellence for our production systems. We run high-volume data ingestion pipelines and real-time AI workloads powering a growing customer base.

You’ll drive SLOs/SLIs, incident response, and systemic improvements across cloud infrastructure, IaC, deployment, and CI/CD, in a startup environment with high ownership and autonomy.