Where Ambition Meets Innovation
At LPL’s Global Capability Center, you'll find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what's possible. LPL's success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We’re proud to be expanding and reaching new heights in Hyderabad.
Join us as we create something extraordinary together.
Job Overview:
We’re seeking a hands‑on Software Engineer experienced in service‑oriented architecture (SOA) using .NET/C# and Angular who is passionate about building reliable, secure, and scalable applications faster with AI‑assisted development. You will own features end‑to‑end—design, implementation, test automation, observability, deployment—and will quantifiably improve delivery efficiency vs. traditional development by using well‑known AI tools (examples below). You’ll also uphold excellent engineering metrics, including a consistent say/do ratio, first‑time‑right %, and a sprint‑over‑sprint velocity of ~10–12 story points.
Responsibilities:
Design & Build Service‑Oriented APIs
Design domain models, contracts, and microservices using ASP.NET Core (REST/gRPC) with clean architecture and DDD principles.
Implement secure, resilient services (retry, circuit breaker, bulkhead, idempotency)
Develop Modern Web UIs
Build responsive, accessible Angular front‑ends/ MFEs (Angular 16+), RxJS state management, lazy loading, and a11y best practices.
Integrate with backend services via typed clients
Leverage AI Developer Tools to Deliver Faster
Use AI tools to accelerate code generation, refactoring, test authoring, documentation, and code review. Examples:
GitHub Copilot / Copilot Chat for inline code suggestions, unit test scaffolding, and PR review comments.
Tabnine, AWS CodeWhisperer, or Cursor/JetBrains AI Assistant for alternative code completions, refactors, and test cases.
SonarLint/SonarQube/Snyk in AI‑assisted mode for security/code quality autofix suggestions.
Track and present AI efficiency metrics (e.g., % AI‑assisted lines, time saved per task, fewer defects per LOC).
Own Full SDLC with Automation
Author high‑coverage unit tests (xUnit/NUnit), integration tests (WebApplicationFactory, Testcontainers), and end‑to‑end tests (Playwright/Cypress).
Build CI/CD pipelines (GitHub Actions/Azure DevOps), implement quality gates (coverage, linting, SAST/DAST), and trunk‑based development with feature flags.
Instrument services with OpenTelemetry, distributed tracing, structured logging, and SLO/SLA dashboards.
What are we looking for:
We’re looking for a hands‑on Software Engineer experienced in service‑oriented architecture (SOA) using .NET/C# and Angular who is passionate about building reliable, secure, and scalable applications faster with AI‑assisted development. You will own features end‑to‑end—design, implementation, test automation, observability, deployment—and will quantifiably improve delivery efficiency vs. traditional development by using well‑known AI tools.
Requirements:
Measure & Improve Engineering Excellence
Monitor DORA metrics (Deployment Frequency, Lead Time, Change Failure Rate, MTTR) and code quality (defect density, maintainability index).
Sustain velocity of ~10–12 story points per engineer per sprint.
Achieve first‑time‑right 90% (stories completed without rework).
Maintain a say/do ratio 0.9 (committed vs. delivered).
Security, Compliance & Reliability
Implement OAuth2/OIDC, OWASP ASVS, input validation, secret management (Key Vault), and zero‑trust patterns.
Adhere to secure coding standards and perform automated security scans in CI.
Collaboration & Communication
Partner with Product, Platform, and QA to refine backlog items with clear acceptance criteria.
Write concise ADRs, RFCs, and technical docs; lead design and post‑incident reviews.
Core Competencies:
Strong verbal and written communication skills.
Excellent analytical, estimation, and problem‑solving abilities.
Ability to translate business needs into technical solutions.
Proven ability to plan, prioritize, and execute in a fast‑paced environment.
Team‑oriented mindset with a passion for continuous learning and improvement.
Preferences:
Engineering Metrics & Expectations
Candidate will be complying to both outcomes and behaviors:
Say/Do Ratio 0.9
Definition: Delivered points / Committed points per sprint.
Practice: Commit based on team capacity, keep WIP low, re‑plan early if blockers arise.
First‑Time‑Right 85%
Definition: Stories meeting acceptance criteria without rework or defect reopening.
Practice: Collaborate on ACs, write contract tests, perform self‑QA, use AI to catch edge cases.
Velocity ~10–12 SP per sprint (individual)
Definition: Sustainable delivery rate with stable scope.
Practice: Slice work vertically, automate tests, pair program (human + AI), remove toil.
Quality & Flow
Unit test coverage 80% on core modules; integration/E2E tests for critical paths.
DORA targets: Frequent deploys (daily/weekly), short lead time (<1–2 days for small changes), low change failure rate (<15%), fast MTTR (<4 hours).
Code quality gates: No critical/severe static analysis issues; maintainability index threshold.
AI Efficiency
Capture AI‑assisted coding metrics (e.g., % of suggestions accepted, time saved).
Demonstrate reduction in cycle time and defect rate vs. historical baselines.
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