Sr Staff Engineer (India) - Research and Development

Our Ideal Candidate

Tookitaki is seeking a creative and highly skilled candidate with an entrepreneurial spirit and the ability to help us build our brand.  As a Sr Staff Engineer, the candidate will help manage the end-to-end of designing a number of AI-powered BigData products among other responsibilities.

Responsibilities

  • As a Sr. Staff Engineer, you will be a key technical leader and role model within an organization
  • You will architect, lead, and build the next generation Data Science Platform that powers everything, including Apps and AI
  • Defining the short-term and long-term technology strategy in alignment with business goals and other strategic initiatives 
  • Building and leading a team of BigData, Applications, Infrastructure, Cloud and Solution architects
  • Driving the end-to-end technical design for developing the suite of AI-enabled intelligent products
  • Defining the end-to-end technical design for delivering and deploying the fully integrated enterprise-grade software solutions
  • Driving the technical initiatives with external partners in defining and publishing the reference architectures in align with the business strategy
  • Defining, institutionalising and governing the end-to-end enterprise-grade software security practices and standards
  • Owning all the technical documentation required to ensure successful functioning of the business and to support the fast-paced growth
  • Providing architectural direction and mentorship to architects, Staff Engineers, development and technical delivery teams
  • We are looking for someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams and makes smart trade-offs to help achieve the goals of individual teams as well as broader goals. 
  • Systematically tracking, monitoring and controlling the technical debt across multiple products
  • Resolve conflicts between teams within the organization to get alignment and build team culture
  • Design products/services/tools and code that can be used by others and Up-levels Engineering Organization
  • Articulating and communicating the architectural metrics, key architectural decision, and the roadmap to key business stakeholders

Qualifications

  • 12+ years of relevant technical experience with at least 4+ years in the technical leadership role. 
  • Proven track record of crafting architectural solutions for complex software systems ensuring high availability, fault tolerance, low latency, and high throughput requirements. 
  • Deep experience in designing and implementing complex distributed (storage and compute) systems with the right design trade-offs ensuring adherence to the key non-functional requirements.
  • Deep experience in architecting and operationalizing enterprise AI software solutions. 
  • Prior experience in designing and implementing large scale big data software stack for batch and realtime analytical and advanced ML use-cases. 
  • Strong hands-on experience in performance engineering – Application profiling, identifying and resolving bottlenecks, memory management, GC and runtime tuning, system and infrastructure tuning.
  • Prior experience designing cloud-native data-intensive applications across multiple cloud providers – AWS, Azure and GCP. 
  • Deep experience in performing the performance benchmarks, and driving the capacity planning and hardware estimation programs.
  • Prior experience in designing enterprise-level end to end product security and setting up the DevSecOps practices within the organization.
  • Strong hands-on experience on Kubernetes, Docker, Terraform, Ansible, Jenkins and other automation tools. 
  • Prior experience working in ML and AI domain with the understanding of – the end to end problem-solving process, techniques, algorithms, and best practices.

Job Perks

  • Opportunity to build AI and Analytics products for Global Markets
  • Opportunity to innovate, Learn and Grow
  • Attractive variable compensation package
  • Flexible working hours – everything is results-oriented
  • Opportunity to work with an award-winning organization in the hottest space in tech: artificial intelligence and advanced machine learning