AVP: Principal Engineer (DSG Scale)

Overview

Principal Engineer in the Data Strategy Group's Financial Platform organization, serving as the technical authority and architectural leader for the cloud-native platform and infrastructure, defining the architecture roadmap and leading the technical execution of platforms powering large-scale, distributed financial applications.

What you'll do

• Define and drive the target-state architecture for the next-generation, cloud-native platform (Kubernetes, multi-region cloud topologies, and AI/workload enablement).
• Translate overarching business goals into scalable, resilient, and decoupled platform capabilities.
• Standardize and implement Playwright for modern browser and web application automation, using browser context isolation, parallel test execution, request interception, and resilient auto-waiting for frontend platform portals.
• Architect and drive automated testing frameworks: continuous regression suites across CI/CD environments, multi-service integrated testing across distributed microservices and event brokers, and end-to-end functional tests validating complex financial workflows and edge cases.
• Lead by example by writing production-grade code, building foundational custom tooling/operators (TypeScript, Python), authoring reusable Terraform modules, and designing reference implementations for engineering teams.
• Serve as a mentor and technical coach to junior and mid-level engineers; facilitate design reviews, establish architecture RFC processes, conduct deep code and infrastructure reviews.
• Architect automated, self-service golden paths and progressive delivery pipelines (canary, blue-green) that minimize cognitive load for application developers while ensuring strict deployment guardrails.
• Design holistic telemetry strategies using OpenTelemetry; define enterprise SLI/SLO standards, error budget policies, resilience testing and chaos engineering; lead complex root-cause analyses (RCA) for critical production incidents.

What you'll need

• 7+ years of hands-on experience in Platform Engineering, QA Automation, SRE, Distributed Systems, or Cloud Architecture, with a proven track record of designing and operating large-scale, production-grade distributed systems.
• Demonstrated expertise in architecting complex, highly available, fault-tolerant, and secure cloud topologies (AWS, Azure, or GCP).
• Demonstrated proficiency in architecting automated regression, integration, and functional test frameworks; extensive hands-on experience with Playwright for web/UI testing and modern API testing tools.
• Hands-on experience testing and validating authentication/authorization modules (OAuth2, OIDC, JWT), RBAC access matrices, and user impersonation security logic.
• Mid-level proficiency with Terraform (custom provider/module development, state locking, drift detection) and Policy-as-Code engines (e.g., OPA, Rego, Kyverno).
• Proven track record of guiding junior engineers, driving engineering consensus across disparate teams, and leading technical initiatives without direct authority.
• Hands-on experience with modern observability platforms, distributed tracing with OpenTelemetry, Prometheus/Grafana ecosystems, and enterprise SRE practices.
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience architecting platforms within highly regulated domains (e.g., Financial Services, FinTech, Banking).
• Deep experience with securing cloud-native platforms.
• Experience designing, building, or operating large-scale Data Platforms (highly desirable).
• Active contributions to open-source cloud-native projects (CNCF ecosystem).

Details

• Location: Gurugram, India.