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Applications open Full-Time Job

Python Backend / API/ Senior Consultant Specialist

HSBC

  • Pune, India
  • Competitive Package
  • 5+ Years
  • Posted Yesterday
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About the role

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specalist

The Opportunity

This role focuses on designing and building scalable secure Python applications and APIs that support critical banking and financial services journeys. You’ll shape technical solutions end to end from interpreting complex requirements through to delivery and operational performance. The work sits in a regulated environment where security resilience and observability matter as much as feature delivery.

You’ll help set engineering standards through design and code reviews while partnering with architecture risk and business stakeholders. Success means maintainable services that perform reliably under real world demand and meet security and compliance expectations.

In This Role, You Will

  • Design scalable, resilient, and secure Python applications and APIs.
  • Lead technical design reviews, code reviews, and engineering best practices.
  • Guide deployments to Kubernetes, Postgres/cloud SQL, and CI/CD pipelines.
  • Ensure security, observability, resilience, and regulatory compliance.
  • Mentor engineers and work with architecture, risk, and business teams.
  • Translate complex requirements into scalable, resilient, maintainable, and supportable technical solutions

To Be Successful In This Role, You Should

  • 8+ years of Python development, including 2+ years in a lead or architect role.
  • Strong experience with Django, FastAPI, or Flask, and REST API design.
  • PostgreSQL, SQL performance tuning, and data modeling. Docker, Kubernetes/GKE, and GCP services. CI/CD, automated testing, and code quality tooling.
  • Secure coding: OWASP, IAM, secrets management, and encryption.
  • System design: microservices, event-driven patterns, high availability, and disaster recovery.
  • Preferred skills: Banking or financial services experience, such as trade confirmations or post-trade processing. AI/LLM integration, RAG, or document extraction. Terraform or other infrastructure as code. Experience in regulated environment

Building secure API foundations

If you want to build Python services that are secure reliable and built for scale this role offers the scope to make that impact. The work spans design delivery and continuous improvement with clear expectations around quality and operational outcomes. You’ll partner closely across engineering architecture risk and business teams to bring complex requirements to life.

Apply to help set the technical direction for services that matter to customers and the bank every day

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by – HSBC Software Development India

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Python SQL Django FastAPI Flask REST APIs Microservices PostgreSQL

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, SQL, Django, FastAPI, Flask, REST APIs, Microservices, PostgreSQL) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion HSBC Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join HSBC as a Python Backend / API/ Senior Consultant Specialist?
Highlight HSBC's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
HSBC Competitive Package
Recruiter Resume Apply
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