Note: The job is a remote job and is open to candidates in USA. Akka is a platform for building and running AI agents and distributed systems at scale. The company is hiring staff-level Site Reliability Engineers to run and evolve its infrastructure, contribute to deployment, observability, and security architecture decisions, and help establish engineering standards. The role focuses on Kubernetes operators, multi-cloud infrastructure, managed Postgres, observability, security, and production on-call operations.
Responsibilities
- You'll contribute to architecture decisions for how we deploy, observe, and secure the platform, and help shape the standards the team builds against
- Every customer service, route, datastore, secret, and region flows through a reconciler, and when something goes wrong in production the fix usually starts with an operator's logs and a custom resource's status
Skills
- 7+ years in infrastructure or platform engineering, with production experience across AWS and Azure. GCP is a plus
- Experience operating Kubernetes controllers built on controller-runtime in production: CRDs, admission webhooks, finalizers, status conditions, and debugging a reconcile loop that isn't converging. You can read Go well enough to trace a reconciler to a root cause
- Infrastructure as code with real production work, Terraform, and Crossplane at the level of authoring Compositions and XRDs rather than only applying claims, delivered through Flux and Kustomize
- Operating managed Postgres (RDS, Cloud SQL, or Azure Flexible Server) in production, point-in-time restore, major-version upgrades, and moving a live database between instances inside a bounded outage window
- Observability at scale with the Prometheus operator, scrape and relabel configuration, cardinality and cost control, alert rules as code, and distributed tracing with OpenTelemetry. Running a long-term metrics store (Cortex, Mimir, Thanos) is a plus, not a requirement
- Securing Kubernetes clusters, service mesh (Linkerd or similar), OIDC/workload identity, mTLS, cert-manager for PKI including trust-anchor rotation, and secrets management via cloud KMS
- Production on-call experience, you've carried a pager and written up what happened afterward
- Skilled use of LLMs as a tool to sharpen your work, not to run on autopilot
- Strong written communication, we weigh this heavily in our process
- Nice to have
- Sizing JVM services in containers, heap versus container limits, direct memory, GC behavior, and reading a heap dump. Our platform computes JVM flags per service, and getting it wrong shows up as OOMKilled
- Operating event-sourced systems, projection lag, offsets, replay semantics, and what a journal replay does to a read model. Our own control plane is event-sourced, and so are our customers' workloads
- Messaging or streaming systems (Kafka, Pub/Sub, or similar) at production scale
- Teleport or a similar access plane, managed as code
- Distributed, stateful, or actor-based systems (Akka, Erlang/OTP)
Benefits
- Performance-based incentives.
- Comprehensive health and wellness benefits.
- Opportunities for professional development and continuous learning.
- Flexible remote working environment.
- Collaborative, inclusive, and innovative company culture.
- A transparent, distributed work environment with a strong focus on work-life balance.
- Challenging work that interacts with innovative applications used by millions.
- A collaborative culture that attracts the "brightest minds" in the technology community.
Company Overview
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