Position: Project Manager with technical background
Company: Intellias
Experience required: 3y
Category: Project Manager
English level: upper
Published: 2021-04-01T00:00:00+03:00

We're seeking for Project Manager with strong technical background solid knowledge of software requirements management and agile methodologies. 

Responsibilities**:
Leading the team of engineers to develop a map creation service
Conduct planning and provide planning details to Subsystem/Program level
Work with Subsystem Lead on requests of the Service from the Subsystem and Program levels
Resolving task dependencies/blockers; process customer escalations
Tailoring and facilitating the Agile software engineering processes;
Coaching, mentoring, motivating and supervising team members. Influencing them to take positive action and accountability for their assigned work, providing timely feedback to individuals and resource managers.

Requirements:
Bachelor’s or Master's Degree in Computer Science or related fields;
5+ years of experience in a similar role (project manager, product owner, tech leader);
Past experience as software developer, Quality Assurance engineer or Business Analyst is required (2 years minimum, 4+ years is desirable)
Hands-on experience in running SDLC in one of the above roles: Dev, QA, BA (deep understanding of software creation and processing principles)
Solid knowledge of requirements engineering techniques, project tracking tools (e.g. JIRA, Confluence). Experience in requirement analysis, effort estimating, project scheduling, risk and change management
Knowledge of scrum and agile software development methodologies,
Ability to prioritize tasks/objectives with strong organizational, administrative and analytic skills,
Self- motivated, well-organized, detail-oriented and a strong team player;
Excellent communication skills, ability to influence people, leadership by examples, cultural awareness
Advanced level or writing and verbal English
Flexibility, emotional maturity

Will be a plus:
Experience with large-scale, data-heavy distributed systems (e.g. Hadoop, Spark, Kafka etc.)