Principal Engineer at ECS | Enterprise Change Specialists

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

3800000.0

Posted On

24 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Fast API, React JS, Redux, HTML5, CSS, JavaScript, PostgreSQL, SQL, PySpark, Big Data, Microservices, AWS, Azure, AI/ML, Agile

Industry

IT Services and IT Consulting

Description

Location: Bengaluru Budget: 38 LPA Job Description As a Principal Engineer, you will play a pivotal role in researching, designing, implementing, and managing innovative software programs. Your technical prowess and leadership will drive the development of robust, scalable, and high-performance solutions. You will collaborate closely with cross-functional teams, lead technical initiatives, and contribute to the evolution of our product roadmap and cutting-edge AI/ML initiatives. We will rely on your experience in successfully delivering projects that significantly, positively, and measurably affect the business. You should have experience in large scale product development projects and Data Science projects. What You'll Do Software Development Leadership •Research, design, implement, and manage software programs, ensuring they align with strategic objectives. •Lead the technical direction and execution of software projects throughout the full development lifecycle. Scalable Product Development: •Collaborate with the Tech team to transform Proof of Concepts (POCs) into fully scalable, production-ready products. •Contribute to the development of distributed, scalable systems, and high-volume transactional applications. Code Quality and Testing: •Uphold excellent code quality standards, employing unit testing and ensuring adherence to coding best practices. •Support the team in achieving high code quality reflected in quality metrics. Technical Leadership: •Lead and guide a team of engineers through the software development lifecycle, providing mentorship and technical expertise. Strategic Issue Resolution: •Actively identify and address strategic challenges that may hinder the team's ability to achieve scientific, technical, and strategic goals. Product Roadmap and Innovation: •Contribute to the research and development of the product roadmap, including the integration of AI/ML initiatives. Deployment and Performance Tracking: •Collaborate closely with engineers to deploy solutions in production, both in real-time and batch processes. •Systematically track and analyze performance metrics to ensure optimal system functioning. Team Building and Best Practices: •Foster a culture of team building and knowledge sharing, especially among more junior team members. Requirements & Skills •Bachelor’s / Master's Degree in Computer Science, Software Engineering, or a related field. •Overall 6+ Years of extensive experience in the software product development, design including hands-on coding expertise using AGILE processes. •Proficiency in Python API development(Fast API) •Proficiency in the UI technologies like React JS , Redux , HTML5/CSS and Java Scripting •Good working experience in RDBMS like PostgreSQL, hands-on experience in SQL is must •Experience in technologies like PySpark and big data technologies is an advantage •Experience in building enterprise scale SaaS software products using Microservices architecture and cloud platform like AWS and Azure Nice to have •Familiarity with AI/ML concepts and their application is advantageous. •Strong understanding of designing and developing distributed, scalable systems and high-volume transaction applications. •Track record of adhering to code quality standards, unit testing, and coding best practices. •Demonstrated leadership skills, with the ability to guide and mentor a technical team. •Ability to identify and address strategic challenges while aligning with overarching goals. •Strong communication and presentation skills

Responsibilities

The Principal Engineer will lead the design, implementation, and management of scalable software programs while mentoring engineering teams. They will also drive technical initiatives, contribute to product roadmaps, and integrate AI/ML solutions into production environments.