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LTK - Sr. Golang Backend Engineer - 164

LTK - Sr. Golang Backend Engineer - 164

ThalozAR
Hace más de 30 días
Tipo de contrato
  • Teletrabajo
  • Quick Apply
Descripción del trabajo

We are looking for a highly skilled Senior Golang Backend Engineer to join our dynamic engineering team at LTK. This role is critical in designing, developing, and maintaining scalable backend systems that power our innovative business solutions. The ideal candidate will leverage their expertise in Golang, PostgreSQL, and cloud infrastructure to build robust, secure, and high-performance backend applications. As a senior engineer, you will play a pivotal role in shaping our backend architecture, mentoring junior engineers, and collaborating closely with cross-functional teams to drive continuous improvement and innovation.

Responsibilities

  • Design, develop, and maintain scalable backend services and APIs using Golang, ensuring high performance and reliability.
  • Architect and implement secure, RESTful APIs that serve as the backbone for our applications, facilitating seamless data exchange in JSON format.
  • Manage and optimize PostgreSQL databases, ensuring data integrity, performance tuning, and efficient query design.
  • Deploy, monitor, and maintain cloud infrastructure on platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, ensuring high availability and scalability.
  • Utilize performance monitoring tools like Datadog to proactively identify and resolve system bottlenecks and ensure optimal application health.
  • Collaborate with product managers, frontend engineers, and other stakeholders to deliver high-quality features aligned with business goals.
  • Mentor and guide junior engineers, fostering a culture of knowledge sharing, best practices, and continuous learning.
  • Drive improvements in development processes, tooling, and technologies to enhance team productivity and product quality.
  • Work with messaging systems such as Apache Kafka to build event-driven architectures that support real-time data processing and integration.
  • Apply sound software engineering principles to design maintainable, testable, and extensible codebases.
  • Participate in code reviews, design discussions, and architectural decisions to uphold engineering standards and quality.

Requirements

  • Golang : Extensive experience in developing backend applications using Go, with a strong understanding of its concurrency model, idiomatic patterns, and performance optimization techniques.
  • PostgreSQL : Proficient in designing, managing, and optimizing relational databases using PostgreSQL, including schema design, indexing, and query optimization.
  • RESTful API : Expertise in designing and implementing secure, scalable RESTful APIs that adhere to best practices and standards, with a focus on JSON data interchange.
  • JSON : Strong knowledge of JSON for data serialization and deserialization in API communication.
  • Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure : Hands-on experience deploying and managing applications in one or more of these major cloud platforms, including familiarity with cloud services, networking, and security best practices.
  • Apache Kafka : Experience working with Apache Kafka or similar distributed messaging systems to build scalable, event-driven backend architectures.
  • Relational Database Management Systems (RDBMS) : Solid understanding of RDBMS concepts beyond PostgreSQL, including transactions, ACID properties, and data modeling.
  • Software Engineering Principles : Strong foundation in software design patterns, clean code practices, testing methodologies, and version control systems.
  • Nice-to-Have Skills

  • Microservices : Experience designing and implementing microservices architectures, including service decomposition, inter-service communication, and deployment strategies.
  • Docker : Familiarity with containerization using Docker, including creating, managing, and deploying containerized applications to streamline development and production workflows.
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