Position: Engineering Team Lead
Company: Sencury
Experience required: 5y
Category: Lead
English level: upper
Published: 2021-07-01T00:00:00+03:00

**Responsibilities:**
• Keeping projects aligned with the company’s goals and values
• Mentoring junior engineers
• Manage and expand relationships with internal and outsourced production and development partners
• Review and evaluate designs and project activities for compliance with technology and development guidelines and standards; make sure that operational requirements are being kept
• Lead a team of full-stack engineers
• Manage staff’s professional and personal growth
• Work closely with Product and Design to set goals and define a roadmap that aligns with the Product vision
• Manage timelines to execute the roadmap
• Coordinate cross-team efforts and integrations
• Lead hiring efforts for your team
• Take an active part in the implementation (hands-on) of various features

**Qualifications:**
• B.Sc./M.Sc. in Computer Science or equivalent experience
• 5+ years working as a backend developer with .NET Core technologies
• 3+ years experience in Angular/Vanilla JavaScript/SCSS
• 3+ years experience team management 3+ developers, agile / scrum.
• Autodidactic abilities to ramp up quickly on new technologies
• Experience with public cloud (AWS, Azure)
• Experience deploying microservices system to scale
• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, building processes, testing, and operations
• Ability to take a project from scoping requirements through actual launch of the project
• Deep understanding of the web client and server-side technologies

**Advantage:**
• Experience with BigData technologies, document Based DB (NoSQL, preferably Elastic search 6+)
• Translate UI/UX design to actual code and produce visual elements
• Experience in writing browser extensions for (Chrome, Firefox, Edge)
• Experience with data-analysis or machine-learning
• Kubernetes and docker experience
• Advanced English
• Office knowledge