Senior Backend Engineer (Python, SQL & AI Integration)
Field: ML / Data Engineering
Location: Gurugram | Hyderabad | Noida
🪩 Get Your Scholarship, Visa, Grant or Proposal Approved
Strategy, positioning, and expert restructuring for high-stakes applications.
⚡ Limited weekly review slots • Structured • Results-focused
Who is this for?
Applicants applying for competitive funding, study visas, academic programs, research grants, or professional proposals needing expert-level positioning.
Work Arrangement: Hybrid — 3 days per week from office
Required Skills: Python, SQL
Important: This position combines backend engineering, financial data, AI/LLM automation and DevOps. Your CV should demonstrate evidence of these skills rather than simply listing technologies.
Role Overview
Turing is looking for Python Backend Developers to join its Digital & Technology team. The role involves building backend systems, data pipelines and LLM-powered automation workflows that support financial data across internal and client-facing platforms.
The ideal candidate combines strong backend engineering skills with experience handling financial or structured data and the ability to communicate effectively with both technical and business teams.
Key Responsibilities
1. Backend Development
- Design, build and maintain Python-based backend services and APIs.
- Develop and maintain data pipelines.
- Manage and optimize PostgreSQL databases.
- Work on database schema design, migrations, indexing and query optimization.
- Collaborate with data engineers and analysts.
2. Process Automation & AI
- Build and operate LLM-powered automation workflows.
- Implement human-in-the-loop review processes for edge cases.
- Define escalation logic and audit trails.
- Build systems where automated decisions can be explained and reviewed.
- Work with product and operations teams to identify automation opportunities.
3. Finance & Data
- Work with financial data and reporting systems.
- Apply knowledge of cash flows, valuations and portfolio metrics.
- Understand lease accounting and related financial concepts.
- Validate data pipeline integrity.
- Support finance and investment teams with reporting tools.
4. DevOps & Infrastructure
- Own the development lifecycle from local development through production.
- Use Git and Docker in software development workflows.
- Work with AWS, Azure or Google Cloud Platform.
- Participate in CI/CD processes.
- Monitor system health and participate in incident response.
- Contribute to infrastructure-as-code standards.
5. Collaboration & Communication
- Explain technical concepts to non-technical stakeholders.
- Produce clear technical documentation.
- Work closely with business, product and operations teams.
- Question unclear requirements and help translate business needs into technical solutions.
Required Qualifications
| Skill | What the Employer Is Looking For |
|---|---|
| Python | Strong backend development, API and data-processing experience. Familiarity with FastAPI, Flask or Django. |
| PostgreSQL | Query optimization, indexing, schema design and ORM experience such as SQLAlchemy. |
| LLM Automation | Practical experience with LLM-powered workflows, prompt engineering, agent frameworks, review queues, confidence scoring and escalation logic. |
| Finance | Working knowledge of financial concepts including valuations, lease terms, cash flows and portfolio/fund reporting. |
| DevOps | Git, CI/CD, Docker/Kubernetes and AWS, Azure or GCP. Infrastructure-as-code is a plus. |
Preferred Qualifications
- 7+ years of backend software development experience.
- Experience in commercial real estate, investment management or financial services is beneficial.
- Familiarity with vector databases.
- Experience with RAG pipelines.
- Experience with multi-agent orchestration.
- Experience with workflow automation tools for business operations.
Who Should Apply?
This opportunity is particularly relevant to experienced backend engineers who can demonstrate real-world experience with Python, SQL/PostgreSQL, APIs, cloud infrastructure and production systems, especially where AI/LLM automation or financial data is involved.
If you have the required technical experience but your current CV does not clearly show it, use the CV structure below as a guide.
Free Senior Backend Engineer CV / Resume Sample
ALEX MORGAN
Senior Backend Engineer | Python | PostgreSQL | AI/LLM Automation
Lagos, Nigeria | +234 XXX XXX XXXX | alexmorgan@email.com
LinkedIn: linkedin.com/in/alexmorgan | GitHub: github.com/alexmorgan
PROFESSIONAL SUMMARY
Senior Backend Engineer with 8+ years of experience designing and delivering scalable Python backend services, REST APIs, data pipelines and PostgreSQL-based systems. Experienced in building AI-assisted automation workflows using LLMs, structured human-in-the-loop review processes and auditable decision pipelines. Strong background in cloud infrastructure, Docker, CI/CD and production monitoring, with practical experience working with financial and business data.
CORE TECHNICAL SKILLS
Backend: Python, FastAPI, Flask, Django, REST APIs, Microservices
Databases: PostgreSQL, SQL, SQLAlchemy, Database Design, Indexing, Query Optimization
AI/LLM: OpenAI APIs, Prompt Engineering, RAG, LangChain, Agent Workflows,
Human-in-the-Loop, Confidence Scoring, Escalation Logic
Cloud: AWS, Azure, GCP
DevOps: Git, Docker, Kubernetes, CI/CD, Infrastructure as Code,
Monitoring and Production Support
Data: ETL Pipelines, Data Validation, Financial Data Processing,
Reporting Systems
PROFESSIONAL EXPERIENCE
Senior Backend Engineer — FinTech Solutions Ltd.
2021 – Present
- Designed and maintained Python/FastAPI backend services supporting financial-data processing and internal business applications.
- Developed PostgreSQL schemas, optimized complex SQL queries and introduced indexes that improved performance of high-volume reporting workflows.
- Built automated data pipelines with validation checks to identify incomplete, inconsistent and anomalous financial records.
- Developed LLM-powered document-processing workflows with human review for low-confidence results.
- Implemented confidence thresholds, escalation rules and audit logs to make automated decisions traceable.
- Integrated external AI APIs into backend services while implementing error handling, monitoring and retry mechanisms.
- Containerized backend applications using Docker and supported CI/CD deployment pipelines for production services.
- Worked with cloud infrastructure and production monitoring to investigate incidents and maintain application reliability.
Backend Engineer — Data Systems Group
2018 – 2021
- Developed Python backend services and REST APIs for data-intensive applications.
- Designed PostgreSQL database structures and optimized SQL queries.
- Built ETL workflows for structured business and financial datasets.
- Created automated validation processes for data-quality monitoring.
- Collaborated with analysts and product teams to translate business requirements into backend solutions.
- Implemented Git-based development workflows and automated testing/deployment processes.
Software Engineer — Technology Company
2016 – 2018
- Developed Python applications and backend APIs.
- Worked with SQL databases and data-processing workflows.
- Participated in code reviews, testing and production troubleshooting.
- Created technical documentation and supported cross-functional development teams.
SELECTED PROJECT
LLM-Powered Financial Data Review Platform
- Built a Python backend that processed financial documents and extracted structured information using an LLM.
- Implemented confidence scoring to determine whether results could be automatically accepted or required human review.
- Created a review queue and escalation workflow for uncertain cases.
- Stored processing results and audit information in PostgreSQL.
- Exposed functionality through REST APIs and deployed services using Docker and cloud infrastructure.
FINANCE & DATA KNOWLEDGE
Working knowledge of financial data processing, cash-flow analysis, valuations, portfolio metrics, lease-related data and financial reporting workflows.
EDUCATION
B.Sc. Computer Science
University Name — 2016
CERTIFICATIONS
- AWS Certified Developer / Cloud Certification
- Professional Python Certification
- Relevant AI/ML or Generative AI Certification
GITHUB / PORTFOLIO
Include 2–4 strong repositories demonstrating Python backend development, APIs, PostgreSQL, AI/LLM integration, data pipelines or cloud deployment.
CV Tip: Show Evidence, Not Just Keywords
Instead of writing “Python, SQL, Docker, AI” in a skills section and stopping there, demonstrate how you used those technologies.
For example, write: “Built FastAPI services backed by PostgreSQL and optimized SQL queries for high-volume financial reporting.”
This gives recruiters and technical reviewers evidence of practical experience.
Step-by-Step Application Guide
Step 1 — Check Your Eligibility
Review the location requirement, hybrid work arrangement and experience requirements before applying.
Step 2 — Tailor Your CV
Make sure your CV clearly demonstrates Python backend development, PostgreSQL/SQL, API development, LLM automation, cloud/DevOps and relevant financial or data experience.
Step 3 — Quantify Your Achievements
Where truthful, include measurable results such as reduced processing time, improved API response times, increased pipeline reliability, reduced infrastructure costs or increased automation coverage.
Step 4 — Add Relevant Projects
If your employment history does not demonstrate AI/LLM experience, include relevant professional or personal projects involving RAG, LLM APIs, agent workflows, PostgreSQL or backend automation.
Step 5 — Review Your LinkedIn and GitHub
Ensure your professional profiles are consistent with your CV. Highlight repositories and projects that demonstrate the technologies requested in the vacancy.
Step 6 — Apply Through the Official Application Link
Step 7 — Prepare for Technical Screening
Be prepared to discuss Python backend architecture, PostgreSQL optimization, API design, data pipelines, LLM integration, human-in-the-loop systems, cloud deployment, Docker, CI/CD and production troubleshooting.
Important CV Warning
Do not copy the sample CV and claim technologies, years of experience, certifications or finance knowledge that you do not actually possess. Replace every example with your genuine experience, projects, education and measurable achievements.
Disclaimer: Job availability, requirements and application procedures can change. Verify the latest information on the employer’s application page before submitting your application.