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Advanced Software Engineer in Data Remote

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Advanced Software Engineer in Data Description

Are you a passionate Engineer who wants to keep leveling up without being a Manager but a full hands-on Expert/Principal?

We are seeking an Advanced Software Engineer in Data with a passion for tackling complex technical challenges and a dedication to advancing their expertise without pursuing a managerial path.

This role will involve close collaboration with technical teams to design, develop and implement scalable data solutions. The ideal candidate will lead in system architecture and design, maintain a hands-on approach with code, and contribute to a wide range of projects, from cloud implementations to DevOps pipelines.


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Technologies

  • Core Expertise: Strong hands-on experience in at least one primary programming language (e.g., Java, Python, GoLang, C#, etc.), with a solid understanding of how to apply this expertise across various technical domains
  • T-Shape Knowledge: Cross-discipline knowledge, including exposure to areas such as Clouds (AWS, GCP, Azure), DevOps, Data, Security, Architecture, and Performance Optimization
  • System Design: Ability to architect and design large-scale, complex systems, including visualization and decomposition of systems for scalability and maintainability
  • Cross-Stack Proficiency: Experience working with multiple technical stacks and adaptability in quickly learning new technologies and frameworks
  • Platform Experience: Strong focus on writing high-quality, scalable and efficient code, optimized for production environments
  • Innovative Mindset: Familiarity with TRIZ or similar frameworks to develop breakthrough engineering solutions
  • Cloud Technologies: Proven experience working with cloud platforms such as AWS, GCP, or Azure for system deployment and management

Responsibilities

  • Collaborate with technical teams to design, develop, and implement scalable and production-ready solutions for complex systems
  • Lead the development of high-quality software, ensuring the best practices in coding, architecture, and system design are followed
  • Apply T-shape knowledge and cross-stack expertise to solve complex challenges across multiple domains (e.g., Cloud, DevOps, Data)
  • Architect and manage large-scale enterprise systems, ensuring alignment with business needs and scalability requirements
  • Engage with stakeholders to identify technical challenges and provide innovative solutions that deliver measurable business value
  • Lead or contribute to client engagements, consulting on technical strategies, architecture design, and complex problem-solving
  • Mentor junior engineers and share your expertise with the broader engineering community through meetups, conferences, and internal sessions
  • Stay up to date with the latest trends in technology and apply cutting-edge tools and methodologies to your projects
  • Drive presales activities by demonstrating technical expertise and contributing to the technical direction of client engagements
  • Innovate by introducing new technologies, frameworks, and tools that improve development processes or solve technical challenges

Requirements

  • Hands-On Expert: Proven deep technical knowledge with hands-on coding expertise, working daily with code to solve complex problems
  • System Thinking: Demonstrated experience in system design and architecture, with the ability to zoom in and out from high-level architecture to detailed implementations
  • Impactful: A proven track record of delivering significant technical impact, both within a project and across the wider organization, with experience in client engagements, pre-sales, and SWAT teams
  • T-Shape Knowledge: Strong cross-disciplinary understanding and experience in multiple technical domains and stacks
  • Mentorship & Knowledge Sharing: Strong inclination toward mentoring and sharing knowledge within and beyond the organization, contributing to meetups and technical talks
  • Innovative Approach: A mindset of continuous innovation, pushing the boundaries of technology, and implementing new tools, frameworks, or approaches
  • Adaptability: Ability to switch between different programming languages, technical stacks, and domains as required
  • Leadership in Engineering Practices: Ability to lead teams technically, influencing project direction, driving technical best practices, and delivering high-quality results

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