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Hedra · 1 month ago

Senior/Staff Infrastructure Engineer

San Francisco

Full-time

Onsite

Senior Level

4+ years exp

Hedra is a pioneering generative media company building Hedra Studio, a multimodal creation platform. As a Senior/Staff Infrastructure Engineer, you will ensure the reliability and operability of core Python web services on AWS, focusing on infrastructure design and management to support scaling and resilience.

Artificial Intelligence (AI)ContentMedia and EntertainmentVideo

Responsibilities

Own the reliability, availability, and operability of our core Python web services running at scale on AWS

Designing, maintaining, and improving the production infrastructure that keeps Hedra online

Building a highly available runtime environment for our services

Ensuring we can ship quickly while staying resilient through incidents, traffic spikes, and growth

Design robust deployment patterns on Kubernetes

Optimize our use of AWS (networking, load balancing, scaling, resilience)

Put in place the observability and alerting we’re currently missing

Partner with product engineers to make Python a great place to build

Smoothing out CI/CD, runtime configuration, and production debugging

Keep our services healthy, observable, and ready to scale

Qualification

PythonAWSKubernetesPostgres on RDSCI/CDObservabilityDeveloper experience mindsetIncident responseCommunication skillsReliability

Required

At least 4+ years in infrastructure / SRE / platform / backend operations roles at technology companies

At least 3+ years running a critical Python web application in production on AWS

Strong experience operating services on Kubernetes, including: Designing deployment strategies (rolling, blue/green, canary), Autoscaling, resource limits/requests, capacity planning, Debugging pod/node issues and cluster-level problems

Solid experience with AWS for high availability, such as: Multi-AZ architectures, load balancers, security groups, IAM basics, Using managed services (RDS, S3, queues, caches, etc.) effectively, Understanding maintenance windows, failure modes, and regional/AZ considerations

Experience improving observability for production systems: Implementing or refining system metrics (CPU, memory, disk, network, pod/node health), Adding application and product health metrics (latency, error rates, key business KPIs), Standing up useful dashboards, traces, structured logging, and actionable alerts

Comfort working with Python services at scale: CI/CD pipelines, dependency management, runtime configuration, Performance tuning, concurrency models, and production debugging

Practical experience with Postgres on RDS: Running it reliably in production (backups, restores, monitoring, failover), Coordinating version upgrades and schema changes with minimal disruption

A developer experience mindset: Making it easier and safer for engineers to deploy and operate services, Improving tooling, scripts, and workflows around our infrastructure and observability

A pragmatic approach to reliability and incident response: Participating in or leading on-call rotations and incidents, Running postmortems, designing runbooks, and putting guardrails around risky operations

Strong communication skills and the ability to collaborate with product engineers and other stakeholders on tradeoffs between speed, reliability, and complexity