Senior Software Engineer II - AI​/ML Engineering - Development Remote

About Us:

Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences  Seismic Enablement Cloud™ is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth.

Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic here (Opens in a new tab) .

AI is one of the fastest growing product areas in Seismic. We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers. Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud. Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes.

As a Senior Software Engineer – AI/ML
, you’ll play a crucial role in developing and optimizing backend systems that power our AI agents and AI capabilities. You will collaborate with cross-functional teams to design, build, and maintain scalable, high-performance systems that deliver exceptional value to our customers. This position offers a unique opportunity to make a significant impact on our company's growth and success by contributing to the technical excellence and innovation of our AI solutions.

• Experience
  : 6+ years of experience in software engineering and a proven track record of building and scaling microservices and working with data retrieval systems.
• Technical Expertise
  :
  • 5+ Experience with C# and .NET, unit testing, object-oriented programming, and web services.
  • 3+ Experience with Python, with the ability to work concurrently on Python and .NET repositories.
  • 2+ Experience with PostgreSQL, including maintaining and performing tuning
  • Proficient in Test Driven Development (TDD) with hands-on experience using xUnit and Postman to develop automation test scripts.
  • Experience with Infrastructure as Code (Terraform, Pulumi, etc.),
  • Experience with Event driven architectures with tools like Kafka,
  • Experienced in container technologies such as Docker and proficient in microservice frameworks like Kubernetes (K8s)
  • Experienced in Continuous Integration and Continuous Deployment (CI/CD) with expertise in developing Jenkins pipelines using Scala.
  • Experience with DDD (Domain driven development) or feature toggle (Launch Darkly) is good to have.
  • New Relic, Snowflake, Ansible, Ninjia2 experience is a plus
  • Front-end/full stack experience a plus.
• Cloud Expertise
  :
  Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Knowledge of cloud-native services for AI/ML, data storage,and processing. Experience deploying containerized applications into Kubernetes is a plus.
• SaaS Knowledge
  :
  Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed systemand cloud operational infrastructure.
• Product Development
  :
  Experience in collaborating with product management and design, with the ability to translate business requirements into technical solutions that drive successful delivery.
  
  Proven record of driving feature development from concept to launch.
  • Proven ability to collaborate effectively with teams across different regions.
  • Scrum and JIRA experience a plus
• Education
  :
  
  Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Fast-paced Environment
  :
  Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company.