38 applicants

Company

Original Job Post

LTK · 2 days ago

Staff Engineer, Backend - Consumer and Creator Growth

United States

Full-time

Remote

Senior Level

8+ years exp

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Responsibilities

Lead the building and scaling of multiple scale high throughput low latency Services.

Bring a strong command of Golang, or other backend technologies.

Define engineering operational excellence and help complete critical engineering projects on time, within budget and at high quality.

Identify and evaluate new technologies and tools to improve the efficiency and effectiveness of the engineering team.

Create and maintain technical documentation, including architectural diagrams, design documents, and project plans.

Design, develop and deploy software solutions that meet the needs of the business.

Willingness to take ownership of complex issues, drive problem resolution, and act as a technical leader in crisis situations.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

GolangBackendBuilding complex systemsTools evaluationTechnical documentation maintenanceSoftware designDeploymentDistributed systemsCloud platforms AWSCloud platforms AzureCloud platforms Google Cloud PlatformContainerization (Docker)Orchestration tools ECSOrchestration tools KubernetesStream processing frameworks Apache KafkaStream processing frameworks Apache PulsarBig data applications optimizationData storageData modelingETL processesProven leadership skillsCommunication skillsInfluence technical decisions across teamsWillingness to take ownership of complex issuesCommitment to staying up-to-date with industry trendsBig DataCloud PlatformsContainerizationOrchestration ToolsStream Processing

Required

More than 8 years demonstrating a deep understanding of distributed systems and software development principles, architecture, and best practices.

Degree: A bachelor's or master's degree in Computer Science, Software Engineering, or a related field is preferred, although relevant work experience can sometimes compensate for formal education.

Design, develop and deploy software solutions that meet the needs of the business.

Ensure that the engineering team adheres to coding standards, best practices, and compliance requirements.

Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc).

Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (ECS, Kubernetes) for deploying and managing big data applications.

Streaming Data: Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar is valuable for handling real-time data streams.

Optimization: Proficiency in optimizing big data applications for performance, throughput, and resource utilization.

Data Storage: Expertise in working with various data storage technologies, including relational databases, NoSQL databases (like Hadoop HDFS, Apache Cassandra), and columnar databases.

Data Modeling and ETL: Understanding of data modeling concepts and experience with Extract, Transform, Load (ETL) processes for transforming and moving data between systems.

Preferred

Leadership: Proven leadership skills, including mentoring and guiding many engineers, leading large complex technical initiatives across cross-functional teams.

Project Management: Ability to lead projects from conception to completion, manage timelines, resources, and priorities effectively.

Continuous Learning: A commitment to staying up-to-date with industry trends, tools, and methodologies, and a passion for sharing knowledge with peers.

Mentor and coach teams within the department.