As a Principal Engineer, you will be working with our team to drive innovation and deliver cutting-edge solutions in AI-powered engineering.
The role requires strong leadership skills, with the ability to mentor junior members and lead complex engineering initiatives. A proven track record of delivering large-scale projects is essential, as well as a deep understanding of architectural patterns, cloud-native solutions, and microservices architecture.
We are seeking an individual who can think strategically and define long-term technical direction for teams and organizations. Strong analytical and problem-solving skills are also required, as well as the ability to communicate effectively with cross-functional teams.
The ideal candidate will have a passion for upskilling engineers and fostering a culture of innovation, with expertise in agile development methodologies and iterative experimentation.
Full-cycle engineering using modern DevSecOps practices, IaC, and CI/CD tools is a must, as is proficiency in popular ML frameworks and the ability to work with large structured, unstructured, and semi-structured datasets.
Job Responsibilities:
* Tackle complex problems in the team, from technical design to production.
* Translate requirements into solid engineering deliverables, delegating work to squad members.
* Rapidly experiment with emerging AI-assisted engineering tools and partner effectively with engineering squads.
* Deliver solutions that are used by other teams and products.
* Foster a culture of data-driven and customer-centric feature building within the organization.
* Routinely tackle complex architecture challenges and define architectural standards.
* Actively contribute to code delivery through leading code reviews & documentation, direct contribution, and fixing complex bugs.
Requirements:
* Proven track record of leading and delivering large-scale, complex engineering initiatives.
* Working knowledge of AI/ML technologies and their application in accelerating the product development lifecycle.
* Deep knowledge of architectural patterns, cloud-native solutions on AWS & Azure, microservices architecture, solutions integration, and containerization.
* Exceptional strategic thinking and ability to define long-term technical direction for teams and organizations.
* Strong mentoring and leadership skills, with a passion for upskilling engineers and fostering a culture of innovation.
* Ability to influence cross-functional teams, articulate trade-offs, and align technical decisions with business objectives.
* Demonstrated ability to evaluate emerging AI tools and integrate them into engineering workflows.
* Proficiency in agile development methodologies and iterative experimentation from idea to prototype to pilot to product.
* Expertise in full cycle engineering using modern DevSecOps practices, IaC, and CI/CD tools.
* Strong skills in working with large structured, unstructured, and semi-structured datasets.
* Understanding of popular ML frameworks.
Benefits:
At our organization, you'll thrive in a collaborative environment where talented individuals respect and value each other. We empower employees to grow professionally and personally, making a positive impact for customers, communities, and each other.
You'll have opportunities to tackle new challenges, learn from experienced professionals, and contribute to cutting-edge projects that drive business success. Our commitment to diversity, equity, and inclusion creates a workplace where everyone feels valued and supported.
In this role, you'll enjoy a competitive compensation package, comprehensive benefits, and access to ongoing training and development opportunities.
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