Sr. Software Dev

• *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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