36 applicants

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Company

Original Job Post

LTK · 2 days ago

Staff Engineer, Backend - Brand Platform

United States

Full-time

Remote

Senior Level

8+ years exp

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Responsibilities

Bring a strong command of multiple programming languages, frameworks, and technologies relevant.

Demonstrate ability to solve complex technical challenges, provide innovative solutions, and influence technical direction.

Introduce new technologies, tools, or practices that enhance engineering efficiency, productivity, and quality.

Design and build complex systems, architecture, and solutions.

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

Qualification

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Programming LanguagesSystem DesignArchitectureEngineering EfficiencyProject ManagementSoftware DevelopmentProblem-SolvingLeadershipCommunicationMentoringCollaborationData Storage TechnologiesRelational DatabasesNoSQL DatabasesColumnar DatabasesData Processing FrameworksApache SparkApache FlinkApache BeamHadoop MapReduceDesigning Data Processing PipelinesOptimizing Data Processing PipelinesStream Processing FrameworksApache KafkaApache PulsarCloud PlatformsAWSAzureGoogle Cloud PlatformBig Data Services

Required

Strong command of multiple programming languages, frameworks, and technologies relevant

Expertise in designing and building complex systems, architecture, and solutions

Track record of introducing new technologies, tools, or practices that enhance engineering efficiency, productivity, and quality

Proficiency in system design and architecture, with the ability to create scalable, maintainable, and performant solutions

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

Proven leadership skills, including mentoring and guiding junior engineers, leading technical initiatives, and collaborating with cross-functional teams

Ability to lead projects from conception to completion, manage timelines, resources, and priorities effectively

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

Excellent communication skills to effectively convey technical concepts, collaborate with non-technical stakeholders, and provide guidance on technical decisions

Ability to influence technical decisions across teams and mentor others in technical skills and practices

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

Preferred

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

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

Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce. Experience in designing and optimizing data processing pipelines for performance and scalability is important

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

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)

Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications

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

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

Depending on the use case, familiarity with machine learning frameworks (like TensorFlow, PyTorch) and AI techniques can be beneficial for building intelligent applications on big data