Creditgenie Senior DevOps/SRE Engineer at Creditgenie owning reliability, deployments, and compliance across AWS and Kubernetes environments. Builds AI infrastructure and supports fintech platform scalability.
Responsibilities
Core reliability and infrastructure
Own reliability, deployments, observability, and incident response across our AWS environment (Kubernetes/EKS, Datadog, CI/CD, networking), supporting backend, mobile, data, ML, and AI engineering teams.
Maintain, optimize, and improve our AWS infrastructure footprint to align with industry best standards and scalability requirements.
Own our infrastructure-as-code stack (Terraform/OpenTofu). Hands-on AWS CDK experience is a strong plus.
Reduce our dependence on any single vendor by favoring open standards and swappable tooling where it makes sense.
Take real, hands-on ownership of SOC 2 and PCI-DSS work. Not just documenting controls, but building and operating the systems that make them genuinely true in production.
Partner directly with our security function to close real gaps as they surface, including network segmentation and traffic inspection.
CI/CD and deployments
Make deploys and rollbacks easier, more predictable, and more consistent across the org.
Consolidate and speed up CI/CD pipelines that currently span multiple tools and are evolving to support services in TypeScript/Node, Python, and Kotlin as our engineering team’s specialized use cases grow.
AI infrastructure and product builds
Build and extend our internal AI infrastructure: the gateway/middleware layer, MCP integrations, the knowledge graph, and tooling that makes AI use across engineering cheaper, faster, and more accurate.
Qualification
CoreStrong hands-on AWSStrongly preferredExperience with AI/LLM toolingPrior SOC 2 and/or PCI-DSS experienceExposure to security engineeringHands-on AWS CDK experience
Required
Core, non-negotiable
DevOps/SRE depth and a genuine backend engineering background. You've written and shipped real software, not only infrastructure code. We don't need you to build customer-facing features, but we need you to think like a software engineer when you design platform, tooling, and systems.
Strong hands-on AWS, plus production experience with observability/monitoring (Datadog, OpenTelemetry, or similar), CI/CD, compute, and networking.
Experience managing Kubernetes clusters in multiple environments.
Experience with Terraform or comparable infrastructure-as-code tooling.
Experience at an early-stage startup where you built DevOps/infra from scratch, or at a company going through a growth stage where you had to scale it under real pressure.
Real willingness to own compliance work (SOC 2/PCI-DSS), not just support it.
Strongly preferred
Experience with AI/LLM tooling, MCP, model gateways, or internal developer platforms for AI.
Prior SOC 2 and/or PCI-DSS experience, ideally with a specific control or finding you helped remediate.