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Purpose of the role
To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency.
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
The Solution Architect will serve as the senior technical authority for designing and scaling cloud‑native platforms that power enterprise‑grade fraud detection and prevention solutions. This role demands a product‑engineering mindset, deep expertise in modern AWS architectures, and a proven ability to drive strategic cloud transformation across high‑volume, latency‑sensitive transactional systems. This leader will architect next‑generation fraud platforms leveraging streaming, machine learning, advanced analytics, and distributed computing to deliver real‑time protection at scale.
To be a successful Solution Architect, you should have experience with:
Hands‑on cloud engineering experience with architecting large‑scale systems on AWS. Deep expertise across AWS services including EKS, Lambda, Aurora, DynamoDB, Kinesis, MSK, S3, API Gateway, Step Functions, CloudWatch, IAM, and IaC frameworks (CloudFormation/Terraform).
Strong ability to architect high‑throughput, low‑latency, distributed systems for mission‑critical workloads. Proven experience designing cloud‑native, event‑driven, microservices‑based architectures.
Hands‑on engineering leadership involving solution design, code reviews, architecture reviews, platform blueprinting, and design governance. Expertise in containerization, Kubernetes, serverless patterns, and multi‑region fault‑tolerant architectures.
Demonstrated ability in AWS cost management, scaling strategies, performance tuning, and optimizing for resilience and cost efficiency. Ability to manage and drive multiple PoCs, architecture reviews, technical evaluations, and solution options in parallel.
Strong capability to present architectural options, trade‑offs, risk evaluations, and decisions to governance boards and senior leadership with clear, data‑driven justification. Deep understanding of DevSecOps, CI/CD, observability, monitoring, and secure cloud operations.
Ability to work cross‑functionally with Product, Data Science, Security, Architecture, and Engineering teams to influence long‑term platform strategy. Excellent communication, executive presence, and ability to synthesize complex technical concepts into actionable insights for decision‑makers.
Additional relevant skills given below are highly valued:
Experience in fraud detection, fraud platforms, decisioning systems, or real‑time risk engines. Experience in top product‑based technology companies known for engineering depth and architectural rigor.
Exposure to AI/ML platforms, LLM‑driven architectures, GenAI tooling, vector stores, embedding pipelines, and LLM pattern integration into enterprise systems. Experience with streaming frameworks (Flink, Spark Streaming), graph technologies, and real‑time analytics.
Knowledge of model governance, cloud security best practices, and regulatory compliance (PCI, GDPR). Background in modernizing legacy systems into cloud‑native, microservices or event‑driven architectures.
Experience leading engineering organizations across hybrid or global delivery models. Patents, publications, open‑source contributions, or conference‑level technical leadership.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Pune.
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