Platform Engineer
Sentraai โ United Arab Emirates ยท Posted ~1 hour ago
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Job Summary
You will own the AWS platform our AI workloads run on, building and running EKS clusters, writing the Terraform for accounts and networking, and owning the CI/CD pipelines the delivery teams ship through.
You will also run the Kafka estate, managing topics, schemas and consumer lag, and keep the platform healthy under production load.
About SentraAI
SentraAI is a specialist enterprise AI firm, focused on helping large, regulated organisations move AI and data platforms from experimentation into production safely and sustainably.
We work inside enterprise run-states, where governance, operational risk, change control, and long-term ownership are integral to delivery.
Our teams are trusted to design and deliver systems, platforms, and operating models that can be run, audited, and evolved, not just launched.
We prioritise engineering discipline, architectural clarity, and delivery quality over speed theatre or hype.
Key Responsibilities
Platform ownership
- Own the AWS platform our AI workloads run on.
Kubernetes and container platform
- Build and run EKS clusters.
- Operate Kubernetes in production properly, not just deploy to it.
Infrastructure as code
- Write the Terraform for the accounts and networking.
CI/CD
- Own the CI/CD pipelines the delivery teams ship through.
Kafka operations
- Run our Kafka estate, including topics, schemas, and consumer lag, and keep it healthy under production load.
Reliability and governance
- Be on the hook for uptime and change control in a regulated environment.
Required Qualifications
Core capability
- Strong Terraform and AWS.
Production operations
- Demonstrable experience running Kubernetes in production, not just deploying to it, specifically EKS clusters.
Platform and pipeline ownership
- Experience owning CI/CD pipelines the delivery teams ship through.
Streaming platform skills
- Experience running Kafka in production, including operating the estate, topics, schemas, and monitoring consumer lag.
Regulated environment
- Comfortable being on the hook for uptime and change control in a regulated environment.
Advantageous but Not Mandatory
- Service mesh.
- Observability tooling.
- Kafka Connect.
Why Work for SentraAI
- Enterprise AI, done properly.
We exist to take AI and data out of experimentation and into production environments that are regulated, scrutinised, and expected to work every day.
- Quality is not optional.
SentraAI is built on the belief that engineering discipline, governance by design, and delivery rigour are competitive advantages, not overhead.
- Clear ownership and accountability.
You will be trusted with real responsibility, clear mandates, and meaningful outcomes, not diluted roles or performative activity.
- Work that survives contact with reality.
We design systems, operating models, and decisions that still stand up months and years after go-live, not just at demo time.
- Run-state matters as much as build-state.
We optimise for operability, auditability, and change control from day one, because that is where enterprise value is won or lost.
- Substance over hype.
We deliberately avoid delivery theatre, buzzwords, and novelty for novelty's sake.
Credibility is earned through execution.
- Learn from experienced practitioners.
You will work alongside people who have built, broken, fixed, and run enterprise AI systems.
- A firm with a point of view.
SentraAI is opinionated by design.
We stand for doing fewer things better, and we expect our people to take pride in that standard.
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