N #2972
Applications open
Full-Time Job
Walk-in || Solution Architect
NEWSOFT CONSULTANTS
About the role
Tech Lead / Solution Architect (Stream Lead) Role: As a Tech Lead / Solution Architect (Stream Lead) , you will lead an engineering pod (stream) building features for an enterprise-grade SaaS platform in the data privacy, data governance and AI governance space. You will own the technical design of your stream within the clients architecture governance, break the backlog into deliverable work, and make sure every sprint ships production-ready, well-tested code. This is a hands-on leadership role that combines solution design, code and design reviews, and day-to-day guidance of a team of backend, data/AI, frontend and quality engineers.
Key Responsibilities
- Own the technical design and solution architecture for your stream, aligned with the clients architecture governance, standards and review processes.
- Break down epics and features into well-defined user stories and technical tasks, and provide reliable effort estimates.
- Lead sprint planning and execution for the pod, making sure committed scope is delivered on time and meets the definition of done.
- Conduct code and design reviews across backend (Java/Spring Boot, Python), frontend (Angular) and integration components, enforcing quality, security and performance standards.
- Design scalable microservices, REST APIs and integration patterns, including connectors to SaaS, cloud, data and AI platforms.
- Drive release readiness: test coverage, CI/CD quality gates, documentation & deployment sign-off.
- Identify and manage technical risks, dependencies and blockers, and escalate early to the Engineering Manager.
- Collaborate with product managers, architects, UX designers and QA to translate requirements into technical solutions.
- What Youll Bring: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of software engineering experience, including at least 2–3 years as a Tech
- Lead or Solution Architect.
- Proven track record of leading agile teams that deliver enterprise SaaS products or platforms.
- Strong hands-on background in Java/Spring Boot and/or Python, with the ability to review full-stack code.
Mandatory Skills
- Strong expertise in Java, Spring Boot and microservices architecture, with working knowledge of Python.
- Experience designing RESTful APIs, event-driven integrations and data models for distributed systems.
- Hands-on experience with AWS and/or Azure, Docker and Kubernetes.
- Working knowledge of Angular and TypeScript, enough to review frontend designs and code.
- Experience with SQL and NoSQL databases.
- Solid understanding of CI/CD pipelines, automated testing and release management.
- Exp. with Agile/Scrum, backlog refinement and estimation, using tools such as Jira & Confluence.
- Good understanding of secure coding, OAuth2/SSO and role-based access control (RBAC).
- Excellent communication and stakeholder management skills.
Good to Have
- Experience building connectors or integrations with SaaS, cloud or data platforms (e.g., Salesforce, ServiceNow, Snowflake, Databricks).
- Exposure to GenAI/LLM-based applications and agentic AI frameworks.
- Domain knowledge of data privacy, data governance, security or AI governance products.
- Cloud architecture certifications such as AWS Solutions Architect or Azure Solutions Architect Expert.
- Why join us?
- Build enterprise-grade products in data privacy, AI governance that are used worldwide.
- Work hands-on technologies across GenAI, agentic AI, cloud (AWS and Azure), full-stack engineering.
- Learn from experienced architects, engineering leaders through mentorship, design reviews and knowledge-sharing sessions.
- Grow your career with twice-yearly appraisals, certification support and a promote-from-within culture.
- Competitive compensation and comprehensive benefits as a full-time employee.
- Be part of an award-winning, CMMI Level 3 appraised data and AI company.
Eligibility & process
Who can apply
Experience: 8-13 Yrs. Open to matching qualifications.
Skills & stack
Selection process
- Online Assessment / Technical Interview Rounds / HR Review
Prep kit
20 resourcesStudy 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 NEWSOFT CONSULTANTS 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
NEWSOFT CONSULTANTS Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for NEWSOFT CONSULTANTS 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
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 (Angular, TypeScript, Servicenow, Architecture, Agile Methodology, REST APIs, Enterprise, Python) & 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
NEWSOFT CONSULTANTS Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
Explain OOP (Object-Oriented Programming) principles with real-world examples in Angular. Answer
Model answer: 1. Encapsulation (data hiding via private fields/getters). 2. Abstraction (hiding implementation complexity). 3. Inheritance (code reusability). 4. Polymorphism (method overriding/overloading).
What is the time and space complexity of QuickSort vs MergeSort? Answer
Model answer: QuickSort: Average O(N log N) time, O(log N) space. Worst O(N^2). MergeSort: Guaranteed O(N log N) time, but requires O(N) auxiliary space.
Explain the difference between SQL Indexing (B-Tree vs Hash) and when not to use an index. Answer
Model answer: Indexes speed up SELECT queries via B-Trees. However, they slow down INSERT, UPDATE, and DELETE operations because indexes must be updated on disk. Avoid on low-cardinality columns (e.g., boolean flags).
What happens under the hood when you enter a URL in a browser? Answer
Model answer: 1. DNS lookup (resolves IP). 2. TCP 3-way handshake (SYN, SYN-ACK, ACK). 3. TLS negotiation for HTTPS. 4. HTTP GET request sent. 5. Server responds with HTML/CSS/JS. 6. Browser renders DOM & CSSOM tree.
What is the difference between REST and GraphQL APIs? Answer
Model answer: REST uses multiple fixed endpoints with possible over/under-fetching. GraphQL uses a single endpoint allowing clients to query exact fields in a single request.
Behavioural & HR questions 3
Why do you want to join NEWSOFT CONSULTANTS as a Walk-in || Solution Architect?
Highlight NEWSOFT CONSULTANTS's market reputation, recent tech innovations, and how your skills in Angular directly solve their team's objectives.
Highlight NEWSOFT CONSULTANTS's market reputation, recent tech innovations, and how your skills in Angular 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).
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.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package (Best in Industry)
Hyderabad, India
Experience: 8-13 Yrs. Open to matching qu…
