Golang Developer

Position Overview

We are seeking a skilled Engineer with 5 to 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in Golang and cloud services, particularly AWS. You will be responsible for designing, implementing, and maintaining data collection systems that ensure the integrity and availability of data across our platforms. Your expertise in modern CI/CD tools and monitoring solutions will be crucial in optimizing our data workflows.

Brief Description-

Data Collection serves as the entry point to the entire foundational pipeline. Depending on the configuration of each source, scheduled jobs run at their designated intervals to pull data. These jobs may retrieve full datasets, apply updates, or focus on cleaning internal data.

Role: Responsible for working on the Data Collection pipeline to ensure proper trace ID logging and enhance data retrieval and processing mechanisms.

Backend Engineer specializing in distributed systems and observability. Experience in backend development using Golang, Java, or Python; Worked on designing distributed systems, microservices, and APIs; skills in concurrency, event-driven architectures, and database management; and experience in performance optimization and load testing.

Candidates should also be familiar with observability tools like Prometheus and OpenTelemetry, cloud deployment on AWS, Azure, or GCP, containerization, and CI/CD pipelines.

Tech Stack: Golang, AWS (SQS, SNS, DynamoDB, S3, ECS), Skyway (CircleCI, ArgoCD), Splunk, New Relic

Requirements

Proficiency in Golang and experience with AWS services (SQS, SNS, DynamoDB, S3, ECS).

Familiarity with CI/CD tools, specifically CircleCI and ArgoCD.

Experience with monitoring and logging tools such as Splunk and New Relic.

Strong problem-solving skills and attention to detail.

Excellent communication and collaboration skills.

Responsibilities

Design, develop, and maintain data collection systems using Golang.

Implement and manage AWS services including SQS, SNS, DynamoDB, S3, and ECS.

Collaborate with cross-functional teams to gather requirements and ensure data integrity.

Utilize Skyway tools such as CircleCI and ArgoCD for continuous integration and deployment.

Monitor system performance and troubleshoot issues using Splunk and New Relic.

Optimize data collection processes for efficiency and scalability.

Document system architecture, processes, and best practices.

Stay updated with industry trends and emerging technologies to enhance data collection strategies.