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Barclays

Pune · On-site

GTSM - Site Reliability Engineer

Full-timePosted
Salary
₹4–10 LPAEstimated from Glassdoor
Eligible batches
2024 · 2025 · 2026
Degree
Bachelor's, Master's
Location
PuneOn-site

About the role

Barclays is looking for a Site Reliability Engineer to lead the IT Services function for its Pune centre. The role blends strategic planning, risk management and hands‑on technical work to keep the bank’s critical technology infrastructure running smoothly while supporting senior leadership.

Responsibilities

  • Define and execute the strategic direction for IT Services, introducing modern methodologies and processes.
  • Oversee the IT Services team, set departmental goals, monitor performance and drive efficiency.
  • Manage relationships with internal stakeholders and external third‑party providers, ensuring service quality and SLA compliance.
  • Develop, enforce and audit policies, procedures and control standards for incident, problem and change management.
  • Identify and mitigate IT service risks, aligning with the bank’s change and compliance functions.
  • Track financial metrics of the department, optimise costs and extract value from commercial agreements.
  • Lead IT projects, research initiatives and product launches, delivering integrated solutions to clients.
  • Monitor critical infrastructure, resolve complex technical issues and minimise operational disruption.

Eligibility

  • Bachelor's or Master's degree in Computer Science, Data Science or a related field.
  • Strong analytical mindset with the ability to translate business problems into technical solutions.
  • Demonstrated leadership or individual‑contributor experience in a technology‑focused environment.
  • Commitment to Barclays’ values and mindset, including respect, integrity and a drive for excellence.

Skills

  • Proficient Python programming, including libraries such as Pandas, NumPy and SciPy.
  • Experience building, training and deploying machine‑learning models using Scikit‑learn, XGBoost, LightGBM or similar.
  • Solid understanding of statistical analysis, feature engineering and model evaluation.
  • SQL for data extraction and analysis, plus data‑visualisation skills (Matplotlib, Seaborn, etc.).
  • Hands‑on with MLOps tools – Docker, Git, CI/CD pipelines and MLflow.
  • Cloud exposure, preferably AWS, to support scalable deployments.

Resume keywords

Asked for

  • Python
  • SQL
  • TensorFlow
  • PyTorch
  • Docker
  • AWS
  • Mlflow
  • Scikit-learn
  • Xgboost
  • Pandas

Nice to have

  • NumPy
  • Matplotlib
  • Seaborn
  • Lightgbm
  • Catboost
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About Barclays

London-based bank with UK consumer, corporate and private banking, an investment bank and a US consumer bank, plus technology and operations hubs in India.

Founded 1690 · 5000+ employees · HQ London, England, United Kingdom

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