Senior Software Engineer

Overview

Job ID: 7797

5 - 10 years

Position - 2

Technical Skills

Must Have

Python or Java or Kotlin, or Scala and SQL

Job Summary

This role is for staff augmen…

Job Description

Skillset:

Application Reliability and Performance

Strong experience in application monitoring, troubleshooting, and performance tuning for distributed systems.

Familiarity with observability tools (e.g., Grafana, Prometheus, Splunk, Datadog, or equivalent).

Understanding of scalability principles and experience diagnosing latency, throughput, or memory issues in production.

Ability to perform root-cause analysis and implement durable fixes for recurring incidents.

Software Engineering and Debugging

Solid proficiency in at least one backend programming language used in the system (e.g., Python, Java, Kotlin, or Scala).

Experience reading and debugging code written by other teams to identify and resolve issues quickly.

Familiarity with API-based systems, microservices, and event-driven architectures.

Competence in using Git for version control and following structured change management processes.

Data and Pipeline Operations

Working knowledge of data pipelines and batch/stream processing tools (e.g., Apache Spark).

Understanding of data validation, logging, and error-handling practices in ML or analytics-driven applications.

Ability to support and monitor ETL/ELT jobs, ensuring data flows correctly into downstream forecasting or planning models.

Cloud and Deployment Infrastructure

Hands-on experience with cloud platforms (GCP, Azure, or AWS) for deploying and managing applications.

Familiarity with containerization (Docker, Kubernetes) and CI/CD tools (e.g., Jenkins, GitLab CI).

Basic understanding of infrastructure-as-code (e.g., Terraform or Cloud Deployment Manager) preferred.

Incident Response and Operational Support

Experience in production support or SRE-style operations, including ticket triage, escalation, and communication with end users.

Ability to work within Service Level Objectives (SLOs) and document issue resolution steps.

Comfortable collaborating across time zones and communicating clearly with both technical and non-technical users.

Communication and Collaboration

Strong written and verbal communication skills to coordinate effectively with Minneapolis engineering and data science teams.

Ability to translate user-reported issues into actionable engineering tasks.

Proactive and collaborative approach to working with cross-functional partners (merch planners, demand planning, inventory teams).

Responsibilities

Job ID: 7797

5 - 10 years

Position - 2

Requirements

Job ID: 7797

5 - 10 years

Position - 2

Job Description

Skillset:

Application Reliability and Performance

Strong experience in application monitoring, troubleshooting, and performance tuning for distributed systems.

Familiarity with observability tools (e.g., Grafana, Prometheus, Splunk, Datadog, or equivalent).

Understanding of scalability principles and experience diagnosing latency, throughput, or memory issues in production.

Ability to perform root-cause analysis and implement durable fixes for recurring incidents.

Software Engineering and Debugging

Solid proficiency in at least one backend programming language used in the system (e.g., Python, Java, Kotlin, or Scala).

Experience reading and debugging code written by other teams to identify and resolve issues quickly.

Familiarity with API-based systems, microservices, and event-driven architectures.

Competence in using Git for version control and following structured change management processes.

Data and Pipeline Operations

Working knowledge of data pipelines and batch/stream processing tools (e.g., Apache Spark).

Understanding of data validation, logging, and error-handling practices in ML or analytics-driven applications.

Ability to support and monitor ETL/ELT jobs, ensuring data flows correctly into downstream forecasting or planning models.

Cloud and Deployment Infrastructure

Hands-on experience with cloud platforms (GCP, Azure, or AWS) for deploying and managing applications.

Familiarity with containerization (Docker, Kubernetes) and CI/CD tools (e.g., Jenkins, GitLab CI).

Basic understanding of infrastructure-as-code (e.g., Terraform or Cloud Deployment Manager) preferred.

Incident Response and Operational Support

Experience in production support or SRE-style operations, including ticket triage, escalation, and communication with end users.

Ability to work within Service Level Objectives (SLOs) and document issue resolution steps.

Comfortable collaborating across time zones and communicating clearly with both technical and non-technical users.

Communication and Collaboration

Strong written and verbal communication skills to coordinate effectively with Minneapolis engineering and data science teams.

Ability to translate user-reported issues into actionable engineering tasks.

Proactive and collaborative approach to working with cross-functional partners (merch planners, demand planning, inventory teams).