Manager, Engineering (software development, English)

Key Responsibilities
Collaborate with Product Manager & cross-functional team to determine the product roadmap that aligns with the broader company vision;
Be responsible for the technical architecture and execution/delivery of projects that meet the business objectives;
Define and continuously optimize your team's working model (sprint/agile processes) for efficiency & quality;
Manage & lead the team through critical projects;
Provide sound judgment on hard tradeoffs between scopes, engineering capacity, and time constraints;
Set a high bar for engineering talent recruitment;
Coach, develop, and grow your engineering team to make bigger impacts and job satisfaction;
Build a strong culture of teamwork, guide team members to resolve conflicts and help build a cohesive relationship
Who You Are
5+ years of professional software development experience;
2+ years of management experience leading software engineers;
Strong communication, leadership, and problem-solving skills;
Track record of managing, recruiting, and retaining strong engineering talent and growing effective teams;
Experience working with multi-functional, globally distributed teams to coordinate work and deliver solutions that span multiple teams;
Experience working with PMs, designers, data scientists, and infrastructure teams to identify opportunities, prioritize roadmaps, and solve problems;
Strong technical skills with experience in large-scale, distributed systems, including SQL/NoSQL storage, transactional updates, asynchronous processing with message queues like Kafka, logging, system monitoring, and performance tuning;
Desire knowledge of microservices, distributed systems.
Bonus Points
Experience with distributed systems, microservices implementation, such as Golang, Scala;
Experience or having domain knowledge in online payment, eCommerce, credit card processing, risk management, or fraud detection (big plus);
Experience with Data Analysis and Data Processing using big data technologies: ELK stack (Elasticsearch, Kibana), DataLake, Spark, Hadoop;
Skilled in Data Science or Machine Learning.