Hedra is a pioneering generative media company backed by top investors at Index A16Z and Abstract Ventures. Were building Hedra Studio a multimodal creation platform capable of control emotion and creative intelligence.
At the core of Hedra Studio is our Character-3 foundation model the first omnimodal model in production. Character-3 jointly reasons across image text and audio for more intelligent video generation its the next evolution of AI-driven content creation.
As a Senior/Staff Infrastructure Engineer you will own the reliability availability and operability of our core Python web services running at scale on AWS.
You will be responsible for designing maintaining and improving the production infrastructure that keeps Hedra online: Kubernetes for orchestration AWS as the core cloud platform and Postgres on RDS as a key managed data service. Your work will focus on building a highly available runtime environment for our services ensuring we can ship quickly while staying resilient through incidents traffic spikes and growth.
You will design robust deployment patterns on Kubernetes optimize our use of AWS (networking load balancing scaling resilience) and put in place the observability and alerting were currently missing from system-level metrics to product health signals. Youll also partner with product engineers to make Python a great place to build: smoothing out CI/CD runtime configuration and production debugging.
This is a hands-on infrastructure role not a product feature role. You will work closely with engineering leadership and product teams but your primary mandate is to keep our services healthy observable and ready to scale. Were looking for a full-time hire in our San Francisco office.
Were looking for candidates who have:
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
Competitive compensation and equity.
401k.
Healthcare (Silver PPO Medical Vision Dental).
Lunch and snacks at the office.
We encourage you to apply even if you dont fully meet all the listed requirements; we value potential and diverse perspectives and your unique skills could be a great asset to our team.
Required Experience:
Staff IC