Senior Software Engineer – AI/ML, Backend

Seismic

Senior Software Engineer – AI/ML developing backend systems for Seismic's AI engine. Collaborate with cross-functional teams to deliver exceptional AI capabilities.

Posted 7/1/2026full-timeRemote • California • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend system design and development for generative AI, with a strong focus on performance optimization and mentorship of junior engineers. Proficient in modern software engineering practices, including Test Driven Development and Infrastructure as Code.

Highest-signal resume keywords

C#.NETPythonPostgreSQLTest Driven Development

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Hard Skills

C#.NETPythonPostgreSQLTest Driven DevelopmentInfrastructure as CodeEvent Driven ArchitectureContainer TechnologiesMicroservice FrameworksContinuous Integration and Continuous Deployment

Soft Skills

Technical GuidanceMentorshipCollaboration

Tools & Technologies

TerraformPulumiKafkaDockerKubernetesNewRelicSnowflakeAnsibleNinjia2AWS

Industry Keywords

Generative AIDomain Driven DevelopmentFeature ToggleCloud PlatformsCross-Functional Teams

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDockerGoogle Cloud PlatformKafkaKubernetes.NETPostgresPythonTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain backend systems and services for generative AI
Collaborate with data scientists, AI engineers, and product teams
Monitor and optimize agentic workflows’ performance
Provide technical guidance and mentorship to junior engineers
Work closely with cross-functional and geographically distributed teams
Stay updated with the latest trends and advancements in AI technologies

Requirements

What you’ll need

6+ years of experience in software engineering
5+ Experience with C# and .NET
3+ Experience with Python
2+ Experience with PostgreSQL
Proficient in Test Driven Development (TDD)
Experience with Infrastructure as Code (Terraform, Pulumi, etc.)
Experience with Event driven architectures with tools like Kafka
Experienced in container technologies such as Docker
Proficient in microservice frameworks like Kubernetes (K8s)
Experienced in Continuous Integration and Continuous Deployment (CI/CD)
Experience with DDD (Domain driven development) or feature toggle (Launch Darkly) is good to have
NewRelic, Snowflake, Ansible, Ninjia2 experience is a plus
Front-end/full stack experience a plus
Experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Benefits

Comp & perks

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