Senior DevOps Engineer
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Reach the decision-maker — $5About the role
We are looking for a Senior DevOps Engineer to design, build, and operate reliable, scalable, and secure cloud\-native platforms. This role focuses on enabling high\-performing engineering teams through modern DevOps practices, automation, and platform engineering.
The role also supports AI/ML and Generative AI workloads, ensuring models and AI services can be deployed, monitored, and scaled safely in production.
You will collaborate closely with cross\-functional teams to ensure that solutions align with business objectives, technical requirements, and operational best practices.
This position is a **12\-month** fixed\-term contract.
DevOps \& Platform Engineering
* Design, build, and operate highly reliable, scalable, and secure cloud infrastructure. * Own infrastructure‑as‑code using tools such as Terraform, CloudFormation, or equivalent. * Develop and maintain CI/CD pipelines to enable fast, safe, and repeatable application deployments. * Support containerized workloads using Docker, Kubernetes, and managed container platforms.
Cloud \& Infrastructure
* Lead design decisions across Azure Cloud Platform. * Optimize infrastructure for availability, performance, resilience, and cost efficiency. * Implement best practices for networking, compute, storage, and scalability.
Reliability, Observability \& Operations
* Establish monitoring, alerting, and logging standards using modern observability tools. * Define and track SLIs, SLOs, and operational KPIs.
Lead incident response, root cause analysis, and continuous improvement initiatives.
Security \& Governance
* Embed security best practices into pipelines and infrastructure (DevSecOps). * Partner with security teams to implement access control, secrets management, and compliance controls. * Ensure platforms meet enterprise security, privacy, and regulatory requirements.
Collaboration \& Leadership
* Act as a technical mentor for DevOps and engineering teams. * Guide teams through architectural reviews and operational best practices. * Collaborate with software engineering, architecture, data science, and product teams to translate requirements into scalable solutions.
* 7–10\+ years of experience in DevOps, SRE, or platform engineering roles. * Strong hands‑on experience with Azure cloud platforms. * Deep experience with CI/CD, infrastructure‑as‑code, and automation. * Proficiency with Linux, networking concepts, and distributed systems. * Experience operating production systems at scale. * Strong communication skills and ability to work effectively across teams. * Experience with Kubernetes platform engineering and cluster operations. * Familiarity with zero‑trust, identity, or secrets management solutions.
Nice to Have
* Previous Martech experience * Exposure to AI/ML or MLOps environments, including supporting model training, inference, or CI/CD for ML workloads * Familiarity with Generative AI or LLM platforms (for example, inference services or RAG architectures) * Prior MLOps experience
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