Back
Tier-1 brand and metro location increase interest, but seniority and specialization limit candidate density.
Requires enterprise compliance, large-scale financial transaction and security experience, limiting industry transferability.
Multiple mandatory seniority, tech stack, big-data and GenAI requirements create strict shortlisting filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead architecture and implementation of next-generation enterprise platforms focused on compliance technology with AI-native solutions.
Write 60-70% hands-on production-quality code; design resilient, high-scale distributed systems and scalable microservices architecture.
Drive adoption of modern engineering practices including AI-native workflows, CI/CD, inner-sourcing, and mentorship of senior engineers.
12+ years of professional software engineering experience at Principal/Sr. Staff level in product-engineering led environments.
Proven expertise in large-scale distributed system design on hybrid or public cloud platforms (AWS/GCP/Openshift).
Strong hands-on proficiency in backend languages (Go, Java, or Python) and frontend frameworks (React or Angular).
Experience building big data pipelines (Kafka, Spark, or Flink) and integrating GenAI/LLMs into production applications.
Senior technical leader skilled in full-stack engineering and enterprise-scale data platform architecture.
Experienced in AI-native system design, able to leverage GenAI technologies to transform financial compliance workflows.
Product engineering mindset with demonstrated ability to drive engineering culture through inner-source, automation, and security best practices.