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 an Architect & Tech Lead, the candidate will help manage the end-to-end of designing a number of AI-powered Big Data products, and also participate in client-facing discussions to articulate the solution and its applicability to the client environment among other responsibilities.

  • He must demonstrate hands-on experience as a full-stack architect role in a growth state start-up/scale-up in the field of distributed computing, big data, and machine learning areas.
  • He must showcase proven experience in design and development of large scale
    distributed systems, which scales horizontally across dimensions such as real-time modules, machine learning models, etc
  • He must be someone who designs and develops technology to serve business and technology objectives, aligns points of view across teams, and makes smart tradeoffs to help achieve the goals of individual teams as well as the broader Company vision

Responsibilities

  1. As a hands-on, full-stack architect, you will be a key technical leader and drive architecture decisions within the organization.
  2. You will architect, lead, and build an AI-enabled Big Data Compliance stack that powers the fastest growing businesses across Asia, Europe, the Middle East, and the Americas.
  3. Defining the short-term and long-term technology strategy in alignment with business goals and other strategic initiatives.
  4. Driving the end-to-end technical design for developing and deploying fully integrated enterprise-grade software solutions.
  5. Driving the technical initiatives with external partners in defining and publishing the reference
    architectures in alignment with the business strategy.
  6. Owning all the technical documentation required to ensure the successful functioning of the business and to support the fast-paced growth.
  7. Providing architectural direction and mentorship to lead engineers, developers, researchers, and technical pre-sales and delivery team.
  8. Design products/services/tools and code that can be used by others and Up-levels Engineering organizations.
  9. Articulating and communicating the architectural metrics, key architectural decisions, and the roadmap to key business stakeholders.
  10. Defining, institutionalizing, and governing the end-to-end enterprise-grade software security practices and standards.
  11. Systematically tracking, monitoring, and controlling the technical debt across multiple products
  12. Design and Develop products/services/tools and code that can be used by others and Up-levels
    Engineering Organization
  13. Articulating and communicating the Development metrics, key architectural decisions, and the roadmap to key business stakeholders.
  14. Building and leading a team of BigData Engineers
  15. Driving the end-to-end technical Development of the suite of AI-enabled intelligent products

Must-Have skill sets

  • 8+ 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.
  • Prior experience in designing and implementing large-scale AI-powered Bigdata enterprise software stack for batch, real-time and API-based modes.
  • Prior experience designing cloud native data-intensive applications across multiple cloud providers - AWS, Azure, and GCP.
  • Prior experience in designing enterprise-level end-to-end product security and setting up the
    DevSecOps practices within the organization.
  • Strong hands-on experience in performance engineering - Application profiling, identifying and resolving bottlenecks, memory management, GC and runtime tuning, and system and infrastructure tuning.
  • Strong hands-on experience in Kubernetes, Docker, Terraform, Ansible, Jenkins, and other
    automation tools.
  • Deep experience in performing the performance benchmarks and driving the capacity planning and hardware estimation programs.
  • Deep experience in Developing 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.

Job Perks

  • Have a seat on Product Table, as s/he defines and shapes the quality process and automation for a cutting-edge AI product in regulatory compliance adopted across banks and fintechs globally
  • Remote working with flexible work hours.
  • Attractive variable compensation package
  • Attractive leave policy that awards members as they grow with the Company; separate marriage and childcare leaves for a healthy work-life
    balance
  • Attractive health insurance covering medical, accident and dental for the team member and their spouse and kids

Get in touch with us

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