
Python Developer
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Job Description
As a Python Developer at Infosys, you will play a crucial role in designing, developing, and testing software applications using Python programming language. This entry-level position is ideal for individuals who are passionate about coding and want to kick-start their career in the tech industry.
Infosys, a leading global consulting and technology services company, is seeking a talented Python Developer to join our team. As a Python Developer, you will work on exciting projects that involve building scalable, efficient, and reliable software systems. Your primary responsibility will be to write clean, maintainable, and well-documented code to meet the requirements of our clients.
To excel in this role, you should have a strong foundation in Python programming language and a keen interest in software development. You will work closely with cross-functional teams, including designers, quality assurance engineers, and project managers to ensure seamless project execution. Your expertise in Python will enable you to contribute to the development of innovative solutions that meet the evolving needs of our clients.
As an entry-level Python Developer, you will have the opportunity to work on a wide range of projects, from data analysis and machine learning to web development and automation. You will be exposed to various Python frameworks and libraries, including Django, Flask, NumPy, pandas, and scikit-learn. Your experience with Python will help you to quickly adapt to our technology stack and make significant contributions to our projects.
The ideal candidate for this role will have a strong academic background in Computer Science, Information Technology, or related fields. You should have a solid understanding of Python programming concepts, data structures, and software design patterns. Familiarity with Agile development methodologies, version control systems like Git, and Cloud platforms like AWS or Azure will be a plus.
In this role, you will be working in our Bangalore or Hyderabad office, which offers a dynamic and collaborative work environment. Our offices are equipped with state-of-the-art infrastructure, including modern workspaces, high-speed internet, and access to cutting-edge technologies.
As a Python Developer at Infosys, you can expect to:
- Design, develop, and test software applications using Python programming language
- Collaborate with cross-functional teams to identify project requirements and develop solutions
- Write clean, maintainable, and well-documented code to ensure high-quality software delivery
- Participate in code reviews and contribute to the improvement of the overall codebase
- Stay up-to-date with emerging trends and technologies in Python and software development
- Work on projects that involve data analysis, machine learning, web development, and automation
- Learn and adapt to various Python frameworks and libraries, including Django, Flask, NumPy, pandas, and scikit-learn
To succeed as a Python Developer at Infosys, you should possess:
- Python programming skills, including data structures, file operations, and object-oriented programming
- Strong understanding of software design patterns, Agile development methodologies, and version control systems like Git
- Familiarity with Cloud platforms like AWS or Azure
- Excellent problem-solving skills, attention to detail, and ability to work in a team
- Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders
If you're a motivated and talented individual with a passion for Python programming, we encourage you to explore this exciting opportunity at Infosys. As a Python Developer, you will have the chance to work on challenging projects, develop new skills, and grow your career in a dynamic and supportive environment.
Qualifications for Python Developer at Infosys
Education:
- Bachelor's degree in Computer Science, Information Technology, Electronics and Communication, or related fields from a recognized university
- Relevant academic background with a strong foundation in computer science concepts, data structures, and software engineering
- CGPA: 7.5/10 or higher (or equivalent)
Technical Skills:
- Programming languages: Python 3.x, Python libraries (e.g., NumPy, pandas, scikit-learn), and frameworks (e.g., Django, Flask)
- Familiarity with databases: relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB)
- Knowledge of data structures, algorithms, and software design patterns
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker)
- Understanding of Agile development methodologies and version control systems (e.g., Git)
Python-specific Requirements:
- Proficiency in Python programming language and its ecosystem
- Experience with popular Python libraries and frameworks, such as:
- Data analysis and science: pandas, NumPy, scikit-learn, Matplotlib, Seaborn
- Web development: Django, Flask, Pyramid
- Automation: PyAutoGUI, Pytest
- Familiarity with Python development tools, such as:
- PyCharm, Visual Studio Code, Spyder
- pip, virtualenv, conda
Software Development Life Cycle (SDLC) and Methodologies:
- Understanding of SDLC phases: requirements gathering, design, implementation, testing, deployment, and maintenance
- Familiarity with Agile development methodologies: Scrum, Kanban
- Knowledge of testing frameworks and techniques: unit testing, integration testing, functional testing
Tools and Technologies:
- Familiarity with containerization using Docker and container orchestration using Kubernetes
- Experience with cloud-based services: AWS Lambda, Google Cloud Functions, Azure Functions
- Knowledge of APIs, microservices, and service-oriented architecture (SOA)
- Understanding of cybersecurity principles and secure coding practices
Soft Skills:
- Excellent problem-solving skills and attention to detail
- Strong communication and teamwork skills
- Ability to work in a collaborative and dynamic environment
- Willingness to learn and adapt to new technologies and frameworks
Infosys-specific Requirements:
- Familiarity with Infosys' policies, procedures, and technology stack
- Understanding of Infosys' quality processes and standards
- Willingness to work on multiple projects and contribute to the company's growth
Location-specific Requirements:
- Willingness to relocate to Karnataka, India (if not already residing there)
- Familiarity with Indian work culture and business environment (an advantage)
Certifications and Training:
- Relevant certifications in Python programming, data science, or cloud computing (an advantage)
- Participation in online courses, training programs, or hackathons related to Python development (an advantage)
- Design, develop, and test software applications using Python programming language, with a focus on delivering high-quality solutions that meet Infosys' standards for innovation and customer satisfaction.
- Collaborate with cross-functional teams, including data scientists, product managers, and quality assurance engineers, to identify and prioritize project requirements and ensure seamless integration of Python-based solutions.
- Write clean, maintainable, and efficient code, leveraging popular Python frameworks and libraries such as Django, Flask, and NumPy, to develop scalable and efficient software applications.
- Participate in code reviews, ensuring adherence to coding standards, best practices, and Infosys' technology strategy, while providing constructive feedback to peers and junior developers.
- Troubleshoot and resolve technical issues, using problem-solving skills and debugging techniques, to minimize downtime and ensure smooth operation of Python-based systems.
- Develop and maintain technical documentation, including design documents, test plans, and user manuals, to facilitate knowledge sharing and ensure continuity of projects.
- Stay up-to-date with emerging trends and technologies in Python development, including machine learning, data science, and cloud computing, to identify opportunities for innovation and improvement.
- Work closely with Infosys' clients to understand their business needs and develop tailored solutions that meet their requirements, leveraging Python's versatility and flexibility.
- Participate in Agile development methodologies, including Scrum and Kanban, to ensure iterative and incremental delivery of high-quality software solutions.
- Ensure compliance with Infosys' security policies, procedures, and standards, while maintaining the confidentiality, integrity, and availability of sensitive data.
- Develop and maintain unit tests, integration tests, and automated testing scripts, using tools like PyUnit and Pytest, to ensure high-quality code and minimize regression errors.
- Collaborate with DevOps teams to ensure smooth deployment and integration of Python-based solutions, leveraging tools like Jenkins, Docker, and Kubernetes.
- Analyze and optimize system performance, using tools like profiling and benchmarking, to identify bottlenecks and areas for improvement.
- Develop and maintain data models, databases, and data pipelines, using Python libraries like Pandas and SQLAlchemy, to support data-driven decision-making.
- Work with Infosys' innovation teams to identify opportunities for digital transformation and develop solutions that leverage Python's capabilities in areas like artificial intelligence, blockchain, and IoT.
- Participate in knowledge-sharing initiatives, including mentorship programs, code reviews, and technical workshops, to foster a culture of innovation and continuous learning.
- Develop and maintain expertise in related technologies, including data analytics, data visualization, and cloud-based services, to expand the range of solutions offered by Infosys.
- Ensure seamless communication with stakeholders, including project managers, product owners, and customers, to gather requirements, provide status updates, and address concerns.
- Adhere to Infosys' quality policies, procedures, and standards, while maintaining a focus on customer satisfaction, to deliver high-quality solutions that meet or exceed client expectations.
Selection Process
Initial HR Screening Call
Purpose: Verify basic eligibility (education, graduation year, location preference for Karnataka, work‑authorization status) and gauge communication skills.
Preparation:
- Review your résumé line‑by‑line; be ready to discuss each project, especially any Python‑related work.
- Prepare concise answers for “Tell me about yourself,” “Why Infosys?” and “Why Python Development?” focusing on alignment with Infosys’s digital transformation agenda.
- Keep a quiet environment, stable internet, and a professional background; practice clear articulation and active listening.
Online Assessment (Infosys Talent Assessment Platform)
Aptitude & Logical Reasoning Section (30‑35 minutes)
- Topics: Quantitative aptitude (percentages, ratios, time‑and‑work), data interpretation, logical puzzles, and basic probability.
- Preparation:
- Solve at least 150 mixed‑type questions from recent campus placement papers; focus on speed‑accuracy ratio of 1.5 min/question.
- Use timed mock tests (e.g., PrepInsta, Testbook) to simulate the 40‑question format; review explanations for every mistake.
- Memorize key formulas and shortcuts for quick calculations.
Python Coding Section (45‑60 minutes)
- Format: 2‑3 coding problems of varying difficulty (easy, medium, optional hard) with a built‑in code editor; test cases run automatically.
- Typical problem types:
- String manipulation (e.g., palindrome check, frequency count).
- List/array operations (e.g., sliding window, two‑pointer).
- Dictionary usage (e.g., counting occurrences, grouping).
- Simple algorithmic challenges (e.g., Fibonacci, factorial, basic recursion).
- Preparation:
- Master core Python syntax: list comprehensions, lambda functions, map/filter, exception handling, and file I/O.
- Practice on platforms that use the same editor constraints (e.g., HackerRank, Codility) focusing on writing clean, PEP‑8 compliant code without external libraries.
- Implement and rehearse standard algorithms (binary search, sorting, hash‑map based solutions) within 20‑30 minutes each.
- Review time‑complexity analysis; be ready to discuss O(N), O(N log N) trade‑offs verbally if prompted.
Technical MCQ Section (20‑25 minutes)
- Topics: Python fundamentals (data types, mutability, scope), OOP concepts (inheritance, polymorphism, dunder methods), common libraries (requests, json, pandas basics), and software development basics (Git workflow, virtual environments).
- Preparation:
- Create a one‑page cheat sheet of Python built‑ins and their typical use‑cases; memorize key differences (list vs. tuple, shallow vs. deep copy).
- Study Infosys’s technology stack for entry‑level projects (e.g., Flask/Django for web services, Pandas for data cleaning).
- Take at least three full‑length mock MCQ tests; focus on eliminating distractors quickly.
Technical Interview – First Round (30‑45 minutes, conducted by a senior Python Engineer)
Core Python Deep‑Dive
- Expect questions on iterators vs. generators, decorators, context managers, and memory management (reference counting, garbage collection).
- Preparation:
- Write short scripts that demonstrate each concept; be able to explain the “why” behind using a generator over a list.
- Review CPython implementation details (e.g., GIL) to answer higher‑level design questions.
Data Structures & Algorithms (DSA) Focused on Pythonic Solutions
- Problems may involve linked list manipulation, stack/queue implementation using collections.deque, or tree traversal using recursion.
- Preparation:
- Solve at least 30 DSA problems in Python, emphasizing use of built‑in collections (defaultdict, Counter) for optimal solutions.
- Practice explaining your thought process aloud, covering edge cases, input validation, and complexity analysis.
Project & Experience Discussion
- Discuss any academic or internship projects that used Python (e.g., automation scripts, data‑analysis notebooks, simple APIs).
- Preparation:
- Prepare a 5‑minute “project story” that outlines problem statement, tech stack, your specific contributions, challenges faced, and measurable outcomes (e.g., reduced processing time by 30 %).
- Have the code repository (GitHub) ready for screen sharing; be able to navigate to key modules quickly.
Scenario‑Based Problem Solving
- Example: “How would you design a micro‑service to ingest CSV files, validate data, and store it in a MySQL database using Python?”
- Preparation:
- Familiarize yourself with Flask/FastAPI basics, SQLAlchemy ORM, and data validation libraries (pydantic, cerberus).
- Sketch a high‑level architecture on paper: request handling → validation layer → business logic → persistence layer → error handling & logging.
Technical Interview – Second Round (45‑60 minutes, led by a Team Lead or Manager)
System Design Basics (Entry‑Level Scope)
- Topics: Designing a simple RESTful API, handling concurrency with asyncio, basic caching strategies (in‑memory vs. Redis).
- Preparation:
- Review “Designing Data‑Intensive Applications” concepts at a high level; be ready to discuss trade‑offs without deep dive into distributed systems.
- Practice drawing component diagrams on a whiteboard or virtual tool (Miro, Lucidchart).
Testing & Quality Assurance
- Expect questions on unit testing (pytest fixtures, mock objects), integration testing, and CI/CD pipelines (Jenkins, GitHub Actions).
- Preparation:
- Write a small pytest suite for a sample function; understand how to achieve >80 % coverage.
- Know the basics of Dockerizing a Python app and how Infosys’s “Infosys DevOps” framework integrates testing stages.
Behavioral & Situational Questions (STAR format)
- Sample prompts: “Describe a time you faced a tight deadline and how you managed it,” “How do you handle code reviews that contain critical feedback?”
- Preparation:
- Prepare 3‑4 STAR stories that showcase teamwork, learning agility, and problem‑solving in a technical context.
- Align each story with Infosys’s core values: “Client Value Creation,” “Leadership by Example,” and “Continuously Learning.”
HR Final Discussion (30 minutes, senior HR Business Partner)
Cultural Fit & Long‑Term Vision
- Topics: Understanding of Infosys’s “Digital Learning Platform,” willingness to rotate across domains, and commitment to continuous upskilling (e.g., Infosys’ “iON” certifications).
- Preparation:
- Research recent Infosys initiatives in AI/ML and Python‑centric projects (e.g., Infosys Nia).
- Articulate how you plan to leverage Infosys’s internal training portals to deepen expertise in Django, Flask, or data‑science libraries.
Compensation & Benefits Overview (informational, not negotiation)
- Expect a brief rundown of entry‑level salary bands for Karnataka, performance‑linked bonuses, and Infosys’s employee wellness programs.
- Preparation:
- Have a clear understanding of the cost‑of‑living adjustments for Bangalore/Karnataka and be ready to ask clarifying questions about career progression paths (e.g., “Python Developer → Technical Lead → Solution Architect”).
Post‑Interview Follow‑Up
Feedback Loop
- Infosys typically shares a consolidated feedback report within 7‑10 business days.
- Preparation:
- Keep a journal of each interview round, noting questions that challenged you and the responses you gave.
- Use this record to refine answers for future rounds or similar roles at other firms.
Key Preparation Timeline (Suggested 4‑Week Plan)
Week 1: Complete 2 full‑length online assessments (Aptitude + Python coding) and review results; start daily 1‑hour Python fundamentals drills.
Week 2: Focus on DSA problems (minimum 15 per day) using Python; begin mock technical interviews with peers, emphasizing explanation of approach.
Week 3: Build a small end‑to‑end Python project (e.g., CSV‑to‑API pipeline) and document it; practice system‑design sketching and write pytest cases.
Week 4: Conduct mock HR and behavioral interviews; refine STAR stories; review Infosys’s recent press releases, annual report, and technology blogs to embed company‑specific knowledge.
Resources Tailored for Infosys Python Developer Role
Official Infosys Campus Portal: Access sample assessment papers and interview experiences shared by recent hires.
Python Documentation (v3.11): Deep dive into new language features (pattern matching, structural typing).
GitHub Repositories: Explore Infosys open‑source projects (e.g., “Infosys‑AI‑Toolkit”) to understand coding standards and contribution guidelines.
Online Courses: Coursera “Python for Everybody” (focus on APIs), Udemy “Python Interview Preparation – DSA & System Design,” and Infosys’s internal “iON Learning” modules (if you have provisional access).
Mindset & Soft Skills Emphasis
Demonstrate curiosity by asking insightful questions about the team’s current Python stack, code review cadence, and upcoming digital initiatives.
Show adaptability: be ready to discuss how you would transition from a scripting mindset to building production‑grade services within Infosys’s enterprise environment.
Exhibit collaborative attitude: reference experiences where you paired program‑med, mentored juniors, or contributed to open‑source, aligning with Infosys’s “Team First” culture.
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Important Note
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About Infosys
Company Overview
Infosys Limited, a global leader in next‑generation digital services and consulting, was founded in 1981 and has grown to become one of India’s largest technology firms.
The corporate headquarters are located in Bengaluru, Karnataka, often referred to as the “Silicon Valley of India,” positioning Infosys at the heart of the nation’s tech ecosystem.
In Karnataka alone, Infosys operates multiple campuses—including the flagship Mysore campus (over 30,000 employees), the Electronic City development centre, and the newer “Infosys Innovation Hub” in Whitefield—each equipped with state‑of‑the‑art labs, data centres, and collaborative workspaces.
Strategic Presence in Karnataka
Karnataka contributes roughly 45 % of Infosys’s total headcount, reflecting the state’s pivotal role in the company’s talent pipeline and delivery capabilities.
The Mysore campus hosts the company’s flagship “Campus Connect” program, a partnership with local universities that drives research in AI, blockchain, and quantum computing.
Infosys’s “Digital Learning Centre” in Bengaluru offers over 3,000 hours of instructor‑led training annually, focusing on emerging technologies such as cloud-native architecture, data analytics, and cybersecurity.
Technology Focus & Innovation
The company’s “Finacle” suite, developed in‑house, continues to be a market leader in banking core solutions, with the latest version built on a micro‑services architecture hosted on AWS and Azure.
Infosys has a dedicated “AI & Automation Lab” in Bengaluru that collaborates with research institutions like IISc and IIIT‑Bangalore to prototype intelligent automation bots for Fortune‑500 clients.
The “Infosys Cobalt” cloud platform, launched in 2022, provides a multi‑cloud management layer that integrates SAP, Oracle, and Google Cloud services, with a primary development hub situated in the Electronic City campus.
Workplace Culture & Employee Experience
Infosys follows a “flexi‑work” policy that allows up to three days per week of remote work, supported by secure VPN access and a virtual desktop infrastructure (VDI) that mirrors on‑site environments.
The “Infosys Wings” learning ecosystem provides over 12,000 curated courses, with a mandatory 40‑hour upskilling quota each year for all employees in Karnataka.
Employee Resource Groups (ERGs) such as “Women@Infosys,” “Pragati” (LGBTQ+), and “GreenTech” foster community building, mentorship, and advocacy across the Bengaluru and Mysore campuses.
Career Development & Growth Pathways
The “Career Acceleration Program” (CAP) pairs junior consultants with senior mentors for a 12‑month rotational experience across delivery, sales, and product engineering.
Infosys’s internal “Talent Marketplace” uses AI‑driven skill matching to surface project opportunities across global delivery centres, enabling Karnataka‑based staff to work on high‑impact, cross‑border assignments.
A structured “Leadership Academy” offers a 6‑month executive coaching track, with a focus on digital transformation leadership, strategic thinking, and stakeholder management.
Compensation & Benefits Specific to Karnataka
Base salary structures are benchmarked against the Bangalore Metropolitan Area (BMA) cost‑of‑living index, with annual cost‑of‑living adjustments (COLA) applied in line with the Karnataka Consumer Price Index.
Health benefits include a tiered medical plan covering private hospitals in Bengaluru, Mysore, and surrounding districts, plus a corporate wellness program that offers on‑site yoga, meditation, and biometric health screenings.
The “Infosys Employee Stock Ownership Plan” (ESOP) grants eligible staff a minimum of 5,000 shares annually, with vesting over a four‑year period, encouraging long‑term alignment with company performance.
Diversity, Equity & Inclusion (DEI) Initiatives
Infosys Karnataka has achieved a gender‑balanced workforce of 48 % women in technical roles, surpassing the national IT industry average of 35 %.
The “Inclusive Hiring” program partners with Karnataka’s Skill Development Mission to source talent from under‑represented communities, offering a 6‑month apprenticeship that can transition into full‑time roles.
Regular DEI audits are conducted by an independent third‑party consultancy, with findings publicly disclosed in the company’s annual sustainability report.
Sustainability & Corporate Social Responsibility (CSR)
The “Infosys Foundation” runs the “Karnataka Water Conservation Initiative,” which has installed over 2,500 rainwater harvesting systems across rural schools and community centres.
Infosys’s campuses in Karnataka are certified LEED Gold, featuring solar rooftops that generate approximately 15 % of the total campus electricity consumption.
A “Zero‑Waste” policy mandates that all paper waste be recycled, and organic waste from cafeterias is composted on‑site, reducing landfill contributions by 70 % year‑on‑year.
Community Engagement & Thought Leadership
Infosys hosts an annual “TechConnect Karnataka” conference that attracts over 5,000 attendees, featuring keynotes from global CIOs, hands‑on workshops, and a startup pitch competition.
The company’s “Infosys Academy” collaborates with the Karnataka Government to deliver free coding bootcamps for school students, reaching more than 20,000 learners annually.
Senior leaders from the Bengaluru office regularly contribute to policy dialogues on digital governance, AI ethics, and data privacy through the Karnataka IT Ministry’s advisory panels.
Infrastructure & Facilities
The Mysore campus spans 337 acres, offering on‑site housing for 2,500 employees, a fully equipped gym, sports complex, and a 24‑hour cafeteria serving regional cuisine.
The Bengaluru “Innovation Hub” provides makerspaces equipped with 3D printers, IoT prototyping kits, and a VR/AR lab for rapid proof‑of‑concept development.
High‑speed fiber optic connectivity (10 Gbps backbone) ensures seamless collaboration with global delivery centres in North America, Europe, and APAC.
Recognition & Awards
Infosys Karnataka has been named “Best Place to Work in India” by Great Place to Work® for five consecutive years (2019‑2023).
The company received the “Carbon Disclosure Project (CDP) Leadership Award” in 2022 for its aggressive emissions‑reduction roadmap in the state.
In 2024, the Mysore campus earned the “Global Innovation Center of the Year” award from the International Association of Information Technology Professionals (IAITP).
Future Outlook & Strategic Priorities
Infosys plans to invest INR 12 billion over the next three years to expand its AI research labs in Bengaluru, targeting breakthroughs in generative AI and edge computing.
The “Digital India 2030” roadmap includes a partnership with the Karnataka Smart City Mission to co‑create a city‑wide IoT platform for traffic management and public safety.
A focus on “Green IT” will see the rollout of energy‑efficient servers across all Karnataka data centres, aiming for a 30 % reduction in Power Usage Effectiveness (PUE) by 2027.
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