Senior Software Engineer (Contract)

We are GlobalLogic, 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 GlobalLogic, 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 week

s.
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 Tow

er.
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 product

ion.
What We’re Lookin

g ForYou’ll bring a blend of strong engineering foundations, platform ownership experience, and an enthusiasm for safe and scalable AI. Specific

• ally:
  Hands-on engineer who enjoys solving complex data and observability problems and are passionate about building safe, transparent, and reliable AI s
• ystem.Strong engineering foundations, with experience building scalable distributed systems or data plat
• forms.Proficiency in Python, SQL, Java, and modern data processing frame
• works.Experience working with cloud-based AI/ML ecosystems, particularly AWS SageMaker (requ
• ired).Understanding of monitoring frameworks, observability pipelines, and dashb
• oards.Familiarity of event-driven architectures and messaging sy
• stems.Knowledge of security engineering, IAM principles, encryption, and cloud security con

trols.
In a

• dditionAwareness of model risk and regulatory fram
• eworks.Understanding of operational resilience concepts and SRE practices (SLIs
• /SLOs).Experience with data lineage or governance tooling (DataHub, Glue, Col
• libra).Interest in Responsible AI, explainability, fairness/bias, and governance auto
• mation.Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML s

ystems.
What Y

ou’ll Do
As a Software Engineer for the AI Control Tower,

• you will:Build and Enhance Platform Cap
• abilitiesContribute to the development of data pipelines, APIs, and services that power the AI Contr
• ol 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 fr
• ameworks.Engineer a Robust, Resilient, and Secure AI Env
• ironment.Build high‐throughput pipelines to capture

metrics:-o Model performance, drift, and de

gradationo Operational and servi

ce healtho Security posture and policy adherence and guardrail compliance for ML and GenA

• I systemsImplement observability tooling using logging, metrics, tracing, and event‐driven
• patterns.Apply secure‐by‐design principles, strong IAM practices, and cloud security

controls.
In

• addition:Work closely with data engineering, platform engineering, security, MLOps, and Monitor
• ing teams.Contribute to integration efforts with AWS SageMaker, model pipelines, andenterprise data
• platforms.Use technologies such as AWS, SageMaker, Python, Java, Kafka, OpenTelemetry, and cloud‐native monitori
• ng stacks.Support governance and reporting workflows with automated checks, standardised metrics, and platfor
• m tooling.Contribute to reusable components, shared libraries, and engineering
• patterns.Participate in adopting new technologies around Responsible AI, observability, and runtime m
• onitoring.Support continuous improvement of CI/CD, infrastructure‐as‐code, and testing

practices.
We hire based on expertise, potential and enthusiasm to make a difference, then we give you the tools and skills you need to create impact. This role is based in our UK&I region - hybrid either London or

Edinburgh.
Why work at

GlobalLogic.Our goal is to build an inclusive, positive culture where everyone can feel comfortable being themselves, empowering our people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and indiv

idual needs.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and v

ictimisation.