Who we are Mindtickle is the leading AI-powered revenue enablement platform that combines on-the-job learning and deal execution to drive behavior change and get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product. Our commitment to innovation has also earned us the "AI-based Sales Solution of the Year" award in the 8th annual AI Breakthrough Awards program (PR Newswire), and a Gold Stevie Award for Sales and Customer Service (Mindtickle)- recognition of our dedication to both product excellence and outstanding customer support. Job Summary: We are seeking a Staff Engineer with solid technical expertise in designing and developing systems, as well as implementing the best practices. This role involves leading technical initiatives, driving architectural decisions, and mentoring engineering teams. As a Staff Engineer, you will play a critical role in transforming software development practices by adopting to evolving methodologies, designing scalable solutions, improving system performance, and ensuring technical excellence across projects. This role requires a deep understanding of evolving software development methodologies, best practices in engineering, DevOps, SRE, and other relevant disciplines particularly for large-scale enterprise products or SaaS companies. Additionally, it demands leadership skills in a collaborative engineering environment. Key Responsibility: ● Technical Leadership: Oversee the design and development of complex and high-performance systems. ● Transforming the Organization: Guide Mindtickle in its journey of transformation towards a software development organization of a new era with evolved PDLC. ● Architecture & Design: Define and enforce architectural best practices to ensure maintainability, observability, evolution, and adherence to functional and non-functional requirements. ● Mentorship & Collaboration: Guide engineers through technical challenges, code reviews, and best practices for software development, as well as production operations while leading small, focused teams in specific expertise areas. ● Innovation & Problem-Solving: Continuously evaluate and integrate new methodologies, technologies, tools, and processes. Provide strategic guidance on technology choices, balancing short-term needs with long-term maintainability. ● Cross-Functional Collaboration: Work closely with product managers, designers, and stakeholders to align technical solutions with business objectives. ● Code Quality & Standards: Establish and uphold high coding standards, performance optimization techniques, and best practices, ensuring API and service designs support both current needs and future extensibility. ● Incident Management: Identify, troubleshoot, and resolve complex system issues and performance bottlenecks. ● Scalability & Reliability: Design resilient platform components capable of handling high traffic loads while ensuring fault tolerance and reliability. Required Qualification: Strong technical leadership with 9-12 years of experience. Strong background in system design and architecture of platform components for distributed business systems. Working knowledge of maintaining large-scale systems with various architectural patterns on AWS cloud and software development practices in DevOps, SRE etc. Deep knowledge of database design, scalability, and performance tuning. Proven ability to lead technical teams and mentor engineers. Strong communication skills with the ability to present complex ideas clearly. Understanding of product metrics and product analytics. Preferred Qualification: ● Strong understanding of physical and logical aspects of the performance of RDBMS and No-SQL database (Dynamo, Snowflake) systems and profiling such systems to optimize and identify bottlenecks. ● Experience with implementing microservice architecture and a strong understanding of saga patterns, event-driven systems, and other such architectural patterns. ● Strong expertise in systems in terms of performance of network, threads, processes, caches, memory, operating system metrics, virtualization, JVM, etc.