
Senior Cloud Infrastructure Engineer
6 days ago
Aerospike is a real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. It powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.
Global leaders rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases.
This role requires a technical leader who will drive reliability, performance, and scalability across hybrid and multi-cloud environments.
The successful candidate will bring deep operational experience and lead by example - mentoring others, designing resilient systems, and championing modern SRE practices across new and legacy platforms.
Key Responsibilities- Provide technical leadership across multiple systems and environments, proactively identifying risks, shaping architecture decisions, and improving reliability and performance at scale.
- Lead key infrastructure efforts, including Kubernetes platform expansion (AKS, AKO), and application of SRE principles to legacy systems and new cloud offerings.
- Define, measure, and enforce reliability standards through SLIs/SLOs, observability tooling, and incident response frameworks.
- Mentor and guide other SREs by leading design sessions, conducting technical deep dives, and reviewing code, configurations, and infrastructure decisions.
- Partner with product, engineering, and cloud teams to align reliability goals with delivery objectives.
- Lead root cause analyses and implement systemic fixes for issues spanning multiple platforms or services.
- Drive automation-first approaches using IaC, CI/CD pipelines, and scripting to reduce toil and increase deployment confidence.
- Influence cross-functional roadmaps, identifying areas for innovation, technical debt reduction, and long-term scalability.
- 8+ years of experience in SRE, DevOps, or infrastructure engineering, including significant time operating production systems at scale.
- Deep hands-on experience with at least one major public cloud (AWS, GCP, Azure), and working knowledge of the others; Azure experience is a plus.
- Production experience with Kubernetes, including operating clusters, Helm, operators, and supporting microservices in real-world environments.
- Strong proficiency in infrastructure-as-code tools such as Terraform and CI/CD automation platforms.
- Expertise in observability tools and practices (Datadog, Prometheus, Grafana, ELK, etc.) and using them to define SLIs and SLOs; DataDog experience is a plus.
- Programming and scripting ability in one or more languages (Python, Go, Bash, etc.).
- Experience with large-scale incident response and post-incident review practices.
- Proven ability to mentor other engineers and influence technical strategy across multiple teams.
- Hands-on experience managing and optimizing database deployments and services in production environments, ensuring high availability and performance.
- Familiarity with Aerospike or other distributed databases is a plus.
- Kubernetes or cloud certifications (CKA, CKS, AWS/GCP DevOps/Architect) a plus but not required.
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