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 are seeking talented and experienced Sr. Software Engineers to join the Investor Data Technology team. This role offers the opportunity to make a meaningful impact across a platform serving ~4 million users.
The team is responsible for delivering high‑quality, scalable and reliable data solutions to consumers. The ideal candidate is expected to have hands‑on experience, thrives in a fast‑paced environment and is passionate about building and maintaining data‑driven platforms while collaborating with a motivated and high‑performing team.
Responsibilities:
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Design, develop, test, and implement full‑stack solutions using .NET/C#, Angular and AWS.
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Build and maintain cloud‑native, containerized microservices architectures.
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Provide technical leadership through design reviews, code reviews, and best‑practice implementation aligned with LPL SDLC and RM processes.
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Collaborate with cross‑functional teams (Product, Design, Platform, Ops) to deliver high‑quality, integrated solutions.
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Identify opportunities for application and process improvements; contribute to platform roadmaps and technical documentation.
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Maintain, troubleshoot, optimize, and enhance existing systems.
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Communicate effectively with both technical and non‑technical stakeholders.
Requirements:
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8+ years of experience with .NET/C#, Angular, JavaScript/TypeScript, SQL & NoSQL.
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8+ years of AWS cloud development and deployment experience, including EKS, RDS/Aurora, S3, Athena, Glue, and EventBridge.
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8+ years of hands‑on full‑stack software development experience.
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6+ years of experience designing and implementing complex, distributed systems.
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Exposure in building ETL and data pipelines.
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6+ years of experience with source control and CI/CD pipelines, including tools such as GitHub, TeamCity, Octopus, Jenkins, or Jules.
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Experience leveraging AI‑assisted development tools such as GitHub Copilot, Copilot Chat, Cursor, or similar technologies.
Core Competencies:
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Strong verbal and written communication skills.
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Excellent analytical, estimation, and problem‑solving abilities.
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Ability to translate business needs into technical solutions.
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Proven ability to plan, prioritize, and execute in a fast‑paced environment.
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Team‑oriented mindset with a passion for continuous learning and improvement.
Preferences:
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AWS Associate-level certifications (e.g., AWS Certified Developer – Associate, AWS Certified Solutions Architect – Associate).
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Additional AWS or cloud-related certifications are a plus.
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Hands-on experience with Kong API Gateway.
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Familiarity with GitHub Copilot and other AI-assisted development tools.
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