Senior Site Reliability Engineer, IaaS
Level inferred from job title
Job description
Senior Site Reliability Engineer in the Infrastructure as a Service team, leading the design and evolution of Algolia's cloud baseline and reliable lifecycle capabilities for a cloud-native Kubernetes platform.
At a glance
- Employment
- Full-time
- Work mode
- Remote · Paris
- Languages
- English
- Pay
- EUR 69,768 – 96,900 / year
What you'll do
- Lead the design and evolution of Cloud Baseline capabilities across cloud providers, including identity and access, networking, account structure, security, auditability, tagging, inventory, and cost visibility.
- Design and automate cloud infrastructure foundations that enable a growing fleet of production Kubernetes clusters.
- Lead complex infrastructure initiatives, such as cloud-environment standardisation, cluster lifecycle automation, upgrade strategies, or infrastructure-drift reduction.
- Ensure cloud and Kubernetes foundations, lifecycle operations, and operational guardrails are reliable and scalable enough to support large-scale workload migration without compromising customer experience.
- Treat the platform as a product: define clear interfaces, reusable modules, self-service workflows, documentation, and reliable operational standards for the engineers who consume it.
- Build automated guardrails for security, compliance, reliability, and safe change management, allowing teams to move faster without weakening production protections.
- Improve platform efficiency through capacity planning, rightsizing, autoscaling, resource governance, and clear cost visibility.
- Use automation and AI-assisted engineering tools where appropriate to improve fleet-scale analysis, infrastructure documentation, and safe, repeatable operational changes.
- Mentor engineers, share knowledge, and raise the quality of infrastructure design and operations across the team.
- Collaborate with Infrastructure, Security, FinOps, and engineering teams to align technical decisions and deliver high-impact platform capabilities.
- Participate in the on-call rotation and lead the resolution of complex production issues.
What we're looking for
- Strong hands-on production expertise with AWS or GCP.
- Deep practical Kubernetes knowledge, including its cloud infrastructure dependencies and operational challenges.
- The ability to design, build, and operate reliable cloud infrastructure in production.
- Strong infrastructure-as-code and automation skills, ideally Terraform and Python, Go, or equivalent.
- Solid knowledge of Linux, networking, distributed systems, and production operations.
- A platform mindset: you design for the engineers who consume what you build, balancing velocity, correctness, security, and reliability.
- Awareness of cloud cost drivers and the ability to treat cost as an engineering constraint.
- A track record of leading complex technical initiatives and delivering durable solutions across teams.
- Comfort adopting AI-assisted engineering tools, with strong judgement for critical production systems.
- Excellent spoken and written English skills.
Nice to have
- Familiarity with more than one public cloud provider.
- Knowledge of GitOps or policy-as-code tooling, such as Argo CD, Helm, OPA, or Kyverno.
- Exposure to cloud migration, platform engineering, FinOps, or large-scale infrastructure transformation.
Your team
Infrastructure as a Service (IaaS)
At the center of one of Algolia's most consequential engineering transformations, building the foundations of a unified cloud and Kubernetes platform.
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About Algolia
The retrieval intelligence layer that turns intent into trusted, decision-grade outcomes.
Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon.
Mission
To power search and discovery with ease.
Key facts
- Search and Product Discovery technology
- Powering more than 1.7 trillion queries a year
- Over 18,000 customers
- Millisecond latency and 99.999% reliability
- Recognized leader for Search and Product Discovery by top industry analyst firms
- Operates a production fleet of approximately 4,000 bare-metal servers
- Offices in Paris, NYC, London, Sydney and Bucharest
What they value
- GRIT
- TRUST
- CANDOR
- CARE
- HUMILITY