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
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Act as a technical mentor for DevOps and engineering teams.
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Guide teams through architectural reviews and operational best practices.
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Collaborate with software engineering, architecture, data science, and product teams to translate requirements into scalable solutions.
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7–10+ years of experience in DevOps, SRE, or platform engineering roles.
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Strong hands‑on experience with Azure cloud platforms.
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Deep experience with CI/CD, infrastructure‑as‑code, and automation.
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Proficiency with Linux, networking concepts, and distributed systems.
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Experience operating production systems at scale.
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Strong communication skills and ability to work effectively across teams.
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Experience with Kubernetes platform engineering and cluster operations.
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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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