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Kong - Platform Modernization

LPL Financials

  • Hyderabad, India
  • Competitive Package (Best in Industry)
  • 8-13 Yrs
  • Posted Today
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About the role

Job Summary

We are seeking a highly experienced senior platform engineer for hands-on Kong platform implementation and Terraform-based automation, working with various cross-functional teams to deliver a secure, scalable enterprise API platform. Job Responsibilities Design and implement the Kong Enterprise API gateway platform, including environments, topology, and reusable configuration patterns. Build and maintain Terraform for Kong and AWS resourcesmodules, templates, networking, secrets, and automated provisioning across environments.

Configure and validate Kong Enterprise (services, routes, plugins, upstreams, certificates) with AWS logging, monitoring, and identity integration. Work with platform, security, and application teams on API onboarding requirements and AWS-ready gateway designs. Execute migration and modernization workstreams from legacy API gateways onto Kong Enterprise.

Deliver CI/CD and self-service templates for gateway and Infrastructure-as-Code changes with auditable, repeatable deployments. Conduct code and design reviews; mentor junior engineers on Terraform, Kong, and AWS platform practices. Deliver secure, stable, maintainable platform and Infrastructure-as-Code changes through strong engineering practices, testing, and review before production.

Use AI-assisted development tools to speed Terraform, Kong config, docs, and tests, with human review and team security standards. Troubleshoot pre-prod and production Kong-on-AWS issues; support availability, capacity, and performance. Document architectures, Terraform modules, Kong standards, and runbooks.

Stay current on Kong Enterprise, Terraform, and AWS platform capabilities relevant to API platform modernization. Job Qualifications 8+ years of software engineering experience, with a meaningful portion in platform engineering or infrastructure/software platform roles. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Hands-on experience implementing and operating Kong Enterprise (or equivalent enterprise API gateway) in production. Strong Terraform experience building reusable modules and environment templates for AWS infrastructure and platform workloads. Solid AWS skills for running gateway/platform services: VPC networking, load balancing, IAM, secrets management, and integration with logging and monitoring.

Experience with CI/CD and Infrastructure as Code workflows for platform teams (automated plan/apply, promotion across environments, controlled change). Proficiency in at least one modern programming or scripting language used for platform automation (e.g. Python, Go, Java or .Net).

Working knowledge of API management and API security: routing, policies/plugins, TLS, OAuth 2.0, OpenID Connect (OIDC), and integration with enterprise identity providers. Working knowledge of OpenAPI and standards-based API design for gateway onboarding and policy alignment. Demonstrated ability to deliver secure, stable, production-grade code and IaC with testing, peer review, and operational documentation.

Additional Preference: AI or AWS Certification. Confluent Kafka / Kafka experience.

Eligibility & process

Who can apply

Experience: 8-13 Yrs. Open to matching qualifications.

Skills & stack

Kong Modernization Java Python AWS CI/CD Terraform Apache Kafka

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 (Kong, Modernization, Java, Python, AWS, CI/CD, Terraform, Apache Kafka) & 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 LPL Financials 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 Kong. 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 LPL Financials as a Kong - Platform Modernization?
Highlight LPL Financials's market reputation, recent tech innovations, and how your skills in Kong 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.
LPL Financials Competitive Package (Best in Industry)
Recruiter Resume Apply
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