Software Engineer LMTS - Tableau

We are looking for technically strong Software Engineers passionate about engineering high-quality software that delights our customers. You will be working with a group of world-class engineers to strengthen product capabilities, resolve product defects, validate system integrity, and ensuring our customers have highly reliable and scalable products and services. The software engineer role encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. We pride ourselves in writing high-quality, maintainable code that strengthens the stability of the product and makes our lives easier. You will collaborate with cross-functional teams and ensure the delivery of high-quality software solutions that meet our needs. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive.

Responsibilities

• Design, development, and maintenance of robust and scalable client & server-side components
• Analyze existing issues both functional and technical and provide the right solution in a high data analytics environment.
• Investigate, troubleshoot and resolve customer defects, production issues, installation, and configuration issues with Tableau products in a timely manner.
• Ensure the security and integrity of software components through the implementation of appropriate security measures.
• Ensure and guide on effective AI usage across the lifecycle of workitems
• Drive complex fixes involving multiple product/functional areas, core component changes
• Act as the final technical escalation point for highly complex issues.
• Manage the technical execution and prioritization of compliance and security remediation efforts across platform.
• Replicate, debug, and fix complex product issues in various environments, working with feature developers as needed.
• Analyzing product log files, crash dumps, network traces, etc.
• Make design decisions on the basis of performance, scalability, and reliability.
• Assist in writing code (new development, bug fixes), and automated tests, conduct code reviews and ensure adherence to coding standards and best practices.
• Maintain strong working knowledge of products and develop product improvements
• Ensure coding standards and other quality standards like code coverage, security, performance are met.
• Review the team designs and provide constructive and clear feedback to advocate for the right thing and unblock team members quickly.
• Provide technical coaching to junior team members to help improve their overall skills and knowledge.
• Develop high-quality, production-ready code that can be used by millions of users.
• Work in a Hybrid Engineering model, collaborating with product managers, architects, and other stakeholders to define technical requirements and specifications.
• Engage with Product Managers to clarify customer requirements, propose viable workarounds, and understand related priorities better.
• Communicate clearly and efficiently with cross functional partners and stakeholders to share information, resolve dependencies or problems, and integrate feedback.

Qualifications

• Experience B.S/M.S. in Computer Sciences or equivalent field,
• 10+ years of relevant software development experience with deep working expertise primarily in C++ 17 or Java 17 and later.
• Expertise in other languages like, C#, Javascript, Typescript, Python
• Deep Expertise in object-oriented programming and relational and non-relational databases and transaction fundamentals
• Deep Expertise in architecture principles, design patterns, multithreading, concurrency, queues, locks, scheduling, event-driven architecture, workload distribution, along with expertise of relational databases and non-relational databases.
• Deep Expertise in debugging and performance optimization techniques
• Hands on experience in developing high performing software systems which can connect to multiple data sources, process information and visualize data.
• Expertise in developing enterprise-level SaaS products and deploying services on public cloud platforms (GCP, AWS, Azure).
• Expertise in designing and building large scale distributed systems with 100K+ users, working with microservices, container orchestration and/or distributed architecture.
• Expertise in data processing, data transformation and analytical technologies.
• Proven experience designi…