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.

Skills

ETL, Hadoop, Java, Kafka, Presto, Spark, availability, distributed systems, performance, scalability