CHEQ
CHEQ

CHEQ izstrādā kiberdrošības risinājumus digitālajai reklāmai, palīdzot uzņēmumiem identificēt un novērst klikšķu krāpšanu tādās platformās kā Google un Facebook. Tās tehnoloģija reāllaikā analizē kampaņu datplūsmu, lai filtrētu robotus, konkurentu aktivitātes un citas nederīgas mijiedarbības, ļaujot reklāmdevējiem koncentrēt budžetu uz likumīgu klientu iesaisti.

Platforma apvieno automatizētu aizsardzību ar analītiku un praktiski izmantojamām atziņām, sniedzot mārketinga komandām labāku pārskatāmību par datplūsmas kvalitāti un kampaņu rezultātiem. CHEQ apkalpo reklāmdevējus visā pasaulē kiberdrošības, e-komercijas un mārketinga lietojuma jomās.

Senior Backend Engineer at CHEQ

Build scalable backend systems and end-to-end product features for CHEQ’s cybersecurity platform. The role uses Node.js, TypeScript, Kubernetes, and AWS in a hybrid Israel-based setting.

Apraksts

  • Develop and maintain features for the core engine and other team products.
  • Lead the design, implementation, and upkeep of scalable, production-ready systems.
  • Own features from database architecture and high-performance backend services through to frontend applications.
  • Work with Product Managers and Designers to define product specifications.
  • Turn product specifications into high-quality technical solutions.
  • Champion strong practices for testing, performance, and security.
  • Join the on-call rotation.
  • Help investigate and validate production issues.
  • Shape product direction and address complex technical challenges.
  • Build Kubernetes-based microservices on AWS using Node.js, TypeScript, Python, PostgreSQL, MySQL, ClickHouse, Redis, Grafana, and GitLab CI/CD.

Prasības

  • A bachelor's degree in Computer Science or Software Engineering (BA or BSc) from a recognized university is required.
  • At least 7 years of experience with Node.js and TypeScript.
  • Advanced proficiency in Node.js and TypeScript.
  • Full-stack experience with React or Vue is an advantage.
  • Basic understanding of cloud platforms such as AWS, GCP, or Azure.
  • Experience with relational and non-relational databases, such as SQL, ClickHouse, Snowflake, MongoDB, Couchbase, DocumentDB, or DynamoDB.
  • Ability to learn complex concepts quickly and independently.
  • An AI-first approach to problem-solving throughout the past two years of work experience.
  • Experience using modern AI tools across the software development lifecycle, including prototyping, architecture design, automated unit test generation, and debugging.
  • Passion for technology, a results-focused and proactive approach, and commitment to high-quality work.
  • Strong teamwork, communication, and collaboration skills.

Priekšrocības

  • Remote work arrangement.
  • AI-assisted development tools, including Claude Code.
  • Global work environment.
  • Opportunity to participate in a professional R&D organization focused on best practices and high efficiency.

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