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Company

Original Job Post

LTK · 1 week ago

Staff Software Engineer

United States

Full-time

Remote

Senior Level

7+ years exp

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Brand MarketingFashion

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Responsibilities

Lead the building and scaling of a Product Catalog Service, Exact Product Matching Service, and Product Search Service.

Bring a strong command of Golang, Python, Vector Databases, and embedding technologies.

Design and build complex systems, architecture, and solutions.

Provide inputs on engineering and operational excellence and complete critical engineering projects on time and within budget.

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

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

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

Design, develop, and deploy software solutions meeting business needs.

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.

E-commerceProduct Catalog SystemsScalable SystemsBusiness Value DeliveryGolangPythonVector DatabasesEmbedding TechnologiesSystem DesignArchitectureDistributed SystemsSoftware DevelopmentTechnical InitiativesProject ManagementResource ManagementTechnical GuidanceExperience (7+ years)Software Development DeploymentCoding Standards AdherenceCompliance RequirementsProblem-SolvingLeadershipCommunicationTime ManagementTeam CollaborationMentoringInfluenceData Storage TechnologiesData Processing FrameworksStream Processing Frameworks

Required

Deep understanding of e-commerce and product catalog systems

Experience building highly scalable systems

Experience delivering business value in a high growth, fast-moving environment

Strong command of Golang, Python, Vector Databases, and embedding technologies

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

Experience demonstrating a deep understanding of distributed systems and software development principles, architecture, and best practices

Bachelor's or master's degree in Computer Science, Software Engineering, or a related field (preferred)

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

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

Commitment to staying up-to-date with industry trends, tools, and methodologies

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 7 years of experience in the field

Design, develop, and deploy software solutions that meet business needs

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

Preferred

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

Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar

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