Lead/Senior Software Engineer, Zalo

What you will do

Handle backend Database for Zalo;
Working cross-team in implemented projects or collecting requirements for further development;
Involve in technologies evaluation and selection if needed to implement new solutions;
Participate in the design, development and implementation of new features and various supporting tools as required;
Learn more about tech stacks, programming languages, internal DBs & frameworks;
Research new technologies and learn to develop high-load, low-latency services and deliver high availability and performance.

Experience in software development C/C++, Java, Go;
Strong in algorithm and data structure;
Familiar with in-memory and NoSQL databases, hands-on experience is preferred;
Experienced with asynchronous programming and multi-threading is a plus;
Good knowledge in Linux (scripting, configurations, tuning/ optimization);
Familiar with network protocols (TCP, UDP, HTTP) and socket programming is a plus;
Be willing to learn new technologies and programming languages.

Apply

Apply for this position

Hồ Chí Minh

Full-time

Propose policy and strategic plan to maintain dignity, trust of product;
Detect and prevent spam, crawler, phising, scam, illegal/dirty content, automation tools, and stimulation;
Pro-actively detect phishing, scam trends and reaction quickly to minimize the possible consequences;
Identify abnormal trends and abuse in cross features via data mining, machine learning;
Monitor and evaluate the effectiveness of anti-abuse systems and make data-driven recommendations for improvement;
Partner with legal and law enforcement agencies to investigate and address cybercrime;
Work closely with Product, and Engineering to deeply understand, identify, and execute abusing fighting projects;
Lead subteams to meet the organization's expectations for productivity, quality, continuous improvement, and goal accomplishment.

Bachelor’s degree in information technology, computer engineering, information security or related field;
Experience in detecting spam, phishing, automation tools;
Hands-on experience in log analysis, extracting and interpreting data from the various sources;
Technical proficiency regarding data models, mining, and segmentation;
Ability to programming in Python, Unix scripting, AWK, Java;
Understanding of Operation systems (Windows, Unix, iOS, Android);
Have passion on anonymity, fraud, spam detection;
Have good logical thinking, problem solving skills and ability to work under pressure;
Knowledge of Automation technology (crawler, stimulation, ...) will be a plus point.

Apply

Apply for this position