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Purpose of the role
To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response.
Accountabilities
Assistant 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.
At Barclays, we don’t just adapt to the future – we shape it. Embark on a transformative journey as a Cloud Platform Engineer, where you'll spearhead the delivery of the technology stack, using strong analytical and problem-solving skills to understand the business requirements and deliver quality solutions coming up with the process design of the Foundational / Consolidated and Business data Products. You will be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts, and business stakeholders.
To be successful as a Cloud Platform Engineer, you should have experience with:
Proficiency in cloud technologies – Kubernetes, Docker, AWS, Openshift.
Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face).
Hands-on experience with Agent Development Kits (ADK) or similar agentic AI frameworks (LangChain, AutoGPT, CrewAI).
Proven experience in training and fine-tuning language models.
Proficient in IaaS scripting – Terraform / Cloud Formation.
Ability to use the AWS service APIs, AWS CLI, and SDKs.
Hands on knowledge of CI/CD process.
Understanding of parameter-efficient fine-tuning methods (LoRA, QLoRA, Adapter layers, Prefix tuning).
Experience with model quantization, pruning, and optimization techniques.
Some other highly valued skills may include:
A self-starter with good communication & and stakeholder management skills.
Knowledge of vector databases, embeddings, and retrieval systems.
Strong understanding and working knowledge of bash scripting and Linux OS.
You may be assessed on the 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.
The location of the role is Pune, IN.
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