Seismic

Software Engineer II

Job Locations United States
ID 2025-1880
Category
Product and Engineering
Position Type
Full-Time
Remote
Yes

Overview

At Seismic, we're proud of our engineering culture where technical excellence and innovation drive everything we do. We're a data engineering team responsible for the critical data pipeline that powers insights for over 2,300 customers worldwide. Our team manages all data ingestion processes, leveraging technologies like Apache Kafka, Spark, various C# microservices services, and a shift-left data mesh architecture to transform diverse data streams into the valuable reporting models that our customers rely on daily to make data-driven decisions.  Additionally, we're evolving our analytics platform to include AI-powered agentic workflows.

Who you are:

  • Highly focused on operational excellence and quality – you have a passion to write clean and well tested code and believe in the testing pyramid.     
  • Outstanding verbal and written communication skills with the ability to work with others at all levels, effective at working with geographically remote and culturally diverse teams. 
  • You enjoy solving challenging problems, all while having a blast with equally passionate team members. 
  • (Optional) conversant in AI engineeringYou’ve been experimenting with building ai solutions/integrations using LLMs, prompts, Copilots, Agentic ReAct workflows, etc. 

What you'll be doing:

  • Collaborating with experienced software engineers, data scientists and product managers to rapidly build, test, and deploy code to create innovative solutions and add value to our customers' experience. 
  • Building large scale platform infrastructure and REST APIs serving machine learning driven content recommendations to Seismic products. 
  • Leveraging the power of context in third-party applications such as CRMs to drive machine learning algorithms and models. 
  • Helping build next-gen Agentic tooling for reporting and insights 
  • Processing large amounts of internal and external system data for analytics, caching, modeling and more. 
  • Identifying performance bottlenecks and implementing solutions for them. 
  • Participating in code reviews, system design reviews, agile ceremonies, bug triage and on-call rotations.  

What you bring to the team:

  • BS or MS in Computer Science, similar technical field of study, or equivalent practical experience. 
  • 3+  years of software development experience within a SaaS business. 
  • Must have a familiarity with .NET Core, and C# (preferred), Java, or Python  
  • Experience in data engineering - building and managing Data Pipelines, ETL processes, and familiarity with various technologies that drive them: Kafka, FiveTran (Optional), Spark/Scala (Optional), etc. 
  • Data warehouse experience with Snowflake, or similar (AWS Redshift, Apache Iceberg, Clickhouse, etc). 
  • Familiarity with RESTFul microservice-based APIs 
  • Experience in modern CI/CD pipelines and infrastructure (Jenkins, Github Actions, Terraform, Kubernetes) a big plu (or equivalent) 
  • Optional: familiarity with CRM systems like Salesforce, Microsoft Dynamics 365, Hubspot. 
  • Experience with the SCRUM and the AGILE development process. 
  • Familiarity developing in cloud-based environments  

What we have for you:

At Seismic, we’re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page

We are committed to fair and equitable compensation practices.

Seismic's annual base salary range for this position will vary based on applicant's location, experience, job level, skills, and abilities as well as internal equity and alignment market data. The range listed below is the minimum to the maximum of our target hiring range.

Seismic's salary range for this position is: USD $90,400.00/Yr. - USD $155,900.00/Yr.

This position is also eligible to participate in Seismic's incentive plans in addition to base salary. The actual incentive amount will very and will be subject to the terms and conditions set in the applicable incentive plan.

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