SD - 3 / 4

Responsibilities:
Lead tech roadmap based on product asks and business goals for product areas owned.
Responsible for the choice of tech stack, design, and architecture of the products owned.
Own scalability, performance, availability, service robustness, maintainability, ease of debuggability.
Contribute to reducing infrastructure cost while improving scalability, availability, and responsiveness, and onboarding newer use cases.
Lead design and architecture reviews.
Mentoring junior SDEs in the team.
Evaluate avenues for platformization, creation of reusable libraries, etc.
Contribute/lead solutioning for data engineering (collection, ETL, analytics, reporting, slice/dice, visualisation, etc) and systems needed to optimise ML lifecycle from a systems perspective.
Lead improvement in development processes and practices for the complete org and drive adoption - coding standards, code reviews, design reviews, build processes / CICD, automated testing (functional, performance, etc), and operations.
Participate in hiring outstanding engineers in the company, and improve the hiring process.
Requirements:
Bachelor's degree (4 years) or higher in Computer Science or equivalent.
8+ years of software development experience with 2+ years of experience in a lead role (responsible for designing, architecting, tech stack selection, scaling, and operationalisation) for creating new systems and redesigning/re-architecting existing systems that were successfully delivered to users.
4+ years of hands-on experience with building high-performance, highly available, and scalable distributed systems, scaling and evolving them.
Hands-on experience with SQL and no-sql systems (KV, columnar, and document stores), scaling and tuning them for heavy read/write loads, making the right tradeoffs.
Hands-on experience in asynchronous processing, message queues.
2+ years hands-on experience in data engineering - ETL pipelines, batch and streaming data processing (Hadoop, Spark, Storm, Kafka, Presto, etc), data analytics and reporting - prior experience with optimising for storage space, compute time, etc.
1+ years hands-on experience with one of the key cloud providers (AWS, GCP, Azure) for creation and scaling of large-scale distributed systems (compute, messaging, notifications, caching, data stores, monitoring, CI/CD, etc).
Strong expertise in concurrency constructs and debugging memory leaks, expert-level skills in object-oriented low-level class/interface designs.
Possess technical leadership qualities.
Extremely good at problem solving, is a self-thinker.
Ability to multitask and thrive in a fast-paced, timeline-driven environment.
Good team player with and ability to collaborate with others.
Self-driven and motivated, very high on ownership, is a plus.
2+ years of hands-on experience in Java, tuning JVM, debugging memory leaks, etc.
Good understanding of Machine learning concepts and experience applying them.

Experience
8-11 yrs