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N #3078

Applications open Full-Time Job

Lead Software Engineer - Python

Integra Solutions

Hyderabad, India
Competitive Package (Best in Industry)
4-6 Yrs
Posted Today

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Recruiter contact

Recruiter / hiring contact

No public email in this post. Use a source-linked contact instead.

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About the role

Job Summary

We are looking for a Lead Software Engineer with strong expertise in Python-based application development to build and enhance enterprise SaaS products for the US mortgage industry. In this role, you will take ownership of designing and delivering scalable software solutions while providing technical leadership to a small engineering team. You will collaborate closely with Product, business analysts, and DevOps to build secure, high-performance applications and continuously improve our engineering practices.

This role is ideal for engineers who have demonstrated strong technical ownership and are ready to take the next step into technical leadership. The role also provides opportunities to work on AI-enabled applications, workflow automation, cloud-native platforms, and modern data technologies Role & responsibilities Design, develop, test, and maintain scalable backend applications using Python and related frameworks. Own the technical design and implementation of features from concept through production deployment.

Lead code reviews, mentor engineers, and establish engineering best practices to improve code quality and team productivity. Collaborate with product managers, business analysts, and DevOps teams to deliver high-quality software solutions. Design and develop RESTful APIs, microservices, background processing services, and database solutions.

Optimize application performance, troubleshoot production issues, and ensure high system reliability and scalability. Build and integrate cloud-native solutions using AWS services and modern DevOps practices. Contribute to AI-enabled capabilities, workflow automation, and platform modernization initiatives.

Participate in architecture discussions, sprint planning, technical estimation, and release planning. Continuously improve platform architecture, development standards, and software quality. Preferred Candidate profile 4 - 6 years of hands-on software development experience, with strong expertise in Python.

Proven ability to lead technical implementation, mentor developers, and drive engineering best practices. Hands-on experience with FastAPI, Django, or similar Python frameworks. Strong understanding of REST APIs, asynchronous programming, distributed systems, and backend architecture.

Strong knowledge of PostgreSQL and SQL, including database design and query optimization. Experience with Redis, RabbitMQ/Celery, or similar messaging and background processing technologies. Experience developing and deploying applications on AWS, preferably with services such as RDS, S3, ECS, Lambda, or CloudWatch.

Experience with Docker, Git, CI/CD pipelines, and modern software engineering practices. Strong understanding of software design principles, object-oriented programming, design patterns, and clean architecture. Experience working in Agile/Scrum development environments.

Excellent analytical, problem-solving, and communication skills. Preferred Experience Experience with Angular or other modern frontend frameworks. Exposure to AI/LLM technologies, Agentic AI, MCP, or workflow automation platforms.

Experience with DynamoDB, Snowflake, data engineering, or analytics platforms. Experience in the US Mortgage or Financial Services domain. Experience working with enterprise SaaS products serving multiple customers.

Eligibility & process

Who can apply

Experience: 4-6 Yrs. Open to matching qualifications.

Skills & stack

Docker PostgreSQL SQL Python AWS Django Next.js Angular

Selection process

Online Assessment / Technical Interview Rounds / HR Review

Prep kit

20 resources

Study material 4

📖 Aptitude Practice Questions & Mock Tests Curated logical, quantitative, and verbal reasoning problems for the initial online screening round. 🎯 Company-Specific Interview Preparation Corner Detailed interview experiences, exam formats, and previous test questions for Integra Solutions and tech roles. 📝 Technical Placement Question Bank High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides. 💻 Algorithm, DSA & Live Code Debugger Practice Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Company-specific guides 4

📖 APTITUDE & LOGIC Aptitude Practice Questions & Online Mock Tests Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test. 🎯 COMPANY GUIDE Integra Solutions Interview Preparation Corner Comprehensive guide covering typical interview formats, common questions, and preparation tips for Integra Solutions and off-campus tech roles. 📝 MOCK TESTS & PAPERS Comprehensive Interview Prep Resources & Syllabus Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds. 💻 CODING PRACTICE Algorithm and Data Structure Problem Set Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Likely coding questions 4

💻 Two Sum & Two Pointers Array Optimization Easy / Medium Asked in 85% tech rounds ⚡ Live debugger 💻 Reverse Linked List & Detect Cycle (Floyd's Algorithm) Medium Frequently asked in core rounds ⚡ Live debugger 💻 SQL Nth Highest Salary with DENSE_RANK() & Subqueries Medium Top standard database question ⚡ Live debugger 💻 Valid Parentheses & Stack Implementation Easy / Medium Standard online assessment problem ⚡ Live debugger

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 (Docker, PostgreSQL, SQL, Python, AWS, Django, Next.js, Angular) & 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 Integra Solutions 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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

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.

⚡ Practice in the code editor

Behavioural & HR questions 3

Why do you want to join Integra Solutions as a Lead Software Engineer - Python?
Highlight Integra Solutions's market reputation, recent tech innovations, and how your skills in Docker 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.

About the role

Job Summary

Eligibility & process

Who can apply

Skills & stack

Selection process

Prep kit

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