Senior Software Engineer

We are Global Logic, a Hitachi Group Company and a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise - we help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses.

At Global Logic, we have a strong track record of successfully delivering ground-breaking Cloud, Data & Digital Transformation programmes and we have an international reach working with a wide variety of projects and customers. Our approach enables companies to “build the exceptional” and be fit for purpose in the 21st century.

We are seeking to hire an experienced Contract Software Engineer / AI Platform Software Engineer into our project team. This is a 12 month assignment (inside IR35), to start 2-4 weeks. This is a hands on, high impact role at the intersection of AI governance, distributed systems, observability, and platform engineering to lead technical delivery for an AI centralised platform - Control Tower.

We’re looking for an Software Engineer who will work as part of a cross-functional engineering team to build the pipelines, services, and monitoring capabilities. You will develop core components of an AI platform, contribute to its evolution, and ensure our AI systems are measurable, transparent, and wellcontrolled from model training through to production.

You’ll bring a blend of strong engineering foundations, platform ownership experience, and an enthusiasm for safe and scalable AI. Specifically:

• Hands‑on engineer who enjoys solving complex data and observability problems and are passionate about building safe, transparent, and reliable AI system. Strong engineering foundations, with experience building scalable distributed systems or data platforms.
• Proficiency in Python, SQL, Java, and modern data processing frameworks.
• Experience working with cloud‑based AI/ML ecosystems, particularly AWS Sage Maker (required).
• Understanding of monitoring frameworks, observability pipelines, and dashboards.
• Familiarity of event‑driven architectures and messaging systems.
• Knowledge of security engineering, IAM principles, encryption, and cloud security controls.

• Awareness of model risk and regulatory frameworks. Understanding of operational resilience concepts and SRE practices (SLIs /SLOs).
• Experience with data lineage or governance tooling (Data Hub, Glue, Collibra).
• Interest in Responsible AI, explainability, fairness/bias, and governance automation.
• Experience with CI/CD, infrastructure‑as‑code, and automated testing for data/ML systems.

As a Software Engineer for the AI Control Tower, you will:

• Build and Enhance Platform Capabilities. Contribute to the development of data pipelines, APIs, and services that power the AI Control Tower.
• Implement components supporting AI observability, guardrails, performance monitoring, and lifecycle controls.
• Develop integrations with model registries, feature stores, lineage tools, and governance systems.
• Write clean, well‑tested, scalable code in Python, Java, SQL, and modern data/stream processing frameworks.
• Engineer a Robust, Resilient, and Secure AI Environment.
• Build high‑throughput pipelines to capture metrics:
  
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• Model performance, drift, and degradation.
• Operational and service health.
• Security posture and policy adherence and guardrail compliance for ML and GenAI systems.
• Implement observability tooling using logging, metrics, tracing, and event‑driven patterns.
• Apply secure‑by‑design principles, strong IAM practices, and cloud security controls.

• Work closely with data engineering, platform engineering, security, MLOps, and Monitoring teams.
• Contribute to integration efforts with AWS Sage Maker, model pipelines, and enterprise data platforms. Use technologies such as AWS, Sage Maker, Python, Java, Kafka, Open Telemetry, and cloud‑native monitoring stacks.
• Support governance and reporting workflows with automated checks, standardised metrics, and platform tooling.
• Contribute to reusable components, shared libraries, and…