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Application Engineer III / Senior Full-Stack Software Engineer, Cloud & AI

Vanguard

  • Hyderabad, India
  • Competitive Package
  • 5+ Years
  • Posted Today
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About the role

Provides advanced level system analysis, design, development, and implementation of applications and databases, under general direction.

About Vanguard

Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries.

Vanguard India

Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients.

Role Summary

We are seeking a Senior Full-Stack Software Engineer to design, develop, and support cloud-based applications and intelligent digital experiences. This role requires expertise across frontend and backend development, API integration, AWS cloud services, and modern software engineering practices. The successful candidate will contribute to scalable application development while supporting the adoption of AI-enabled capabilities and automation.

Responsibilities

  • Design, develop, test, and maintain full-stack applications.
  • Build responsive user interfaces using modern frontend technologies.
  • Develop backend services, APIs, and integration solutions.
  • Deliver cloud-native applications using AWS services.
  • Participate in architecture discussions, code reviews, and technical design activities.
  • Support CI/CD and deployment automation using GitHub-based workflows.
  • Troubleshoot and resolve application, integration, and performance issues.
  • Collaborate with product, engineering, and quality teams to deliver business solutions.
  • Maintain technical documentation and engineering standards.
  • Contribute to AI-driven and automation-focused initiatives where applicable.

Required Qualifications

  • Minimum 3 years of experience in application development.
  • Bachelor's degree in Computer Science, IT, Engineering, or related field.
  • Strong full-stack development experience.
  • Proficiency in JavaScript and modern web technologies.
  • Experience with Angular or comparable frontend frameworks.
  • Experience developing and integrating REST APIs.
  • Hands-on experience with AWS cloud services.
  • Experience using GitHub and modern development workflows.
  • Strong understanding of software development lifecycle and Agile methodologies.
  • Excellent problem-solving and collaboration skills

Preferred Qualifications

  • Experience with TypeScript.
  • Exposure to Generative AI or conversational AI solutions.
  • Experience with agent-based AI platforms.
  • Experience building scalable cloud-native applications.

Location

This role is based in Hyderabad, Telangana at Vanguard India. Only qualified external applicants will be considered.

Our mission

Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

Our commitment to you

Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:

Financial wellness

We're committed to enabling your financial success and provide competitive offers and programs.

Physical wellness

We're committed to providing benefits that support your physical health and wellness.

Personal wellness

We're committed to providing resources that help support the full scope of your life.

How We Work

Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Eligibility & process

Who can apply

Seniority: Mid-Senior level. Employment type: Full-time

Skills & stack

JavaScript TypeScript Angular REST APIs AWS CI/CD Git Generative AI / LLMs

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

19 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 (JavaScript, TypeScript, Angular, REST APIs, AWS, CI/CD, Git, Generative AI / LLMs) & 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 Vanguard Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Vanguard as a Application Engineer III / Senior Full-Stack Software Engineer, Cloud & AI?
Highlight Vanguard's market reputation, recent tech innovations, and how your skills in JavaScript 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.
Vanguard Competitive Package
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