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Senior Software Engineer_Sparity_Hyderabad

Sparity

  • Hyderabad, India
  • Competitive Package (Best in Industry)
  • 6-11 Yrs
  • Posted Oct 23, 2026
HR
Recruiter contact In post
Recruiter / hiring contact
saikumar.sangu@sparity.com at Sparity

About the role

Dear All, Greetings From Sparity..!! Role: Senior Software Engineer Backend and Integration Location: Offshore India Experience: 6 to 8 yrs Tech Stack: Python, Java, Node.js, AWS (Lambda, API Gateway, AppSync, Step Functions, EventBridge, SQS, SNS), SQL and Stored Procedures, MongoDB, AI-Assisted Software Development Working Knowledge: EKS, ECS, Docker, OpenShift, VPC, RDS, Security Groups, Terraform, GitHub, Jenkins, GitHub Actions, encryption, IAM Role Overview We are looking for a Senior Software Engineer to build and maintain backend and integration services on AWS. You will develop serverless, event-driven APIs and integrations in Python, Java, and Node.js, work closely with the Backend and Integration Technical Lead, and take ownership of well-scoped features from design through production support. Key Responsibilities Design, develop, and test backend services and integrations in Python, Java, and Node.js Build serverless and event-driven solutions on AWS using Lambda, API Gateway, AppSync, Step Functions, EventBridge, SQS, and SNS Develop and tune SQL queries and stored procedures, and work with MongoDB data models Implement and document APIs consumed by the Angular front end and by other services Write unit, integration, and API tests, and support the Automation Engineer in building test coverage Take part in design and code reviews, and give constructive feedback to peers Troubleshoot defects and production issues, and contribute to root-cause analysis Use GitHub, GitHub Actions, and Jenkins to build and deploy services, following security practices such as IAM and encryption Use AI-assisted development tools responsibly to speed up design, coding, testing, and documentation Act as backup for the Technical Lead on key services, and support the Angular front end as needed Mentor junior engineers on coding practices and AWS patterns Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field 6 to 8 years of software engineering experience in backend or integration development Strong proficiency in Python (must have), with working proficiency in Java and/or Node.js Hands-on experience with AWS Lambda, API Gateway, and AppSync (must haves), and working experience with Step Functions, EventBridge, SQS, and SNS Hands-on knowledge of SQL and stored procedures, and experience with MongoDB Experience building and consuming REST and event-driven interfaces Experience across the full software development lifecycle: design, configuration, testing, debugging, implementation, and support of large-scale, business-centric, process-based applications Working awareness of EKS, ECS, Docker, OpenShift, VPC, RDS, Security Groups, Terraform, GitHub, Jenkins, GitHub Actions, encryption, and Identity and Access Management (IAM); working knowledge of ECS and Terraform is a must have Strong debugging and problem-solving skills Good written and verbal communication skills for collaborating with cross-functional teams AI Knowledge & AI-Assisted Development (Required) Good understanding of AI/LLM models and how they can be applied to accelerate delivery, including prompt engineering Daily, practical use of AI development tools such as Devin AI, Cursor, and Claude Skills to accelerate coding, testing, and documentation Able to critically review and validate AI-generated code for correctness, reliability, and security before committing it Understanding of secure and compliant AI tool usage, including never entering PHI, member data, client-specific credentials, or other sensitive information into prompts or external AI tools Preferred Qualifications Experience in the US health insurance or payer domain: claims, eligibility, enrollment, provider, or member data, with HIPAA-aware system design and data handling practices Exposure to healthcare interoperability and data standards (HL7, FHIR, X12 EDI) Working knowledge of Angular to act as backup for UI/UX work AWS Developer or Solutions Architect Associate certification If Interested please apply here OR share your resume at saikumar.sangu@sparity.com

Eligibility & process

Who can apply

Experience: 6-11 Yrs. Open to matching qualifications.

Skills & stack

SQL Python AWS Java Amazon Ec2 Lambda AWS Senior Terraform

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

Prep kit

20 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 (SQL, Python, AWS, Java, Amazon Ec2, Lambda AWS, Senior, Terraform) & 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 Sparity 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.
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.
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.
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.
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.
Behavioural & HR questions 3
Why do you want to join Sparity as a Senior Software Engineer_Sparity_Hyderabad?
Highlight Sparity's market reputation, recent tech innovations, and how your skills in SQL 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.
Sparity Competitive Package (Best in Industry)
Recruiter Resume Apply
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