Overview
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 II - Search, you will play a crucial role in developing and optimizing backend systems that power our web application, including search, content discovery, 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 search solutions.
Who you are:
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Experience: 8+ years of experience in software engineering and a proven track record of building and scaling microservices and working with data retrieval systems.
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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.
- 3+ Experience with Redis, including expertise in managing large-scale Redis clusters
- 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.
- NewRelic, Snowflake, Ansible, Ninjia2 experience is a plus
- Front-end/full stack experience a plus.
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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.
- Good to have: Search/retrieval/AI: Prefer expertise in search platforms like ElasticSearch, Apache Solr, or similar. Experience with Natural Language Processing (NLP), semantic search and understanding of text processing techniques is a plus.
- SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern distributed system and 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.
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Proven ability to collaborate effectively with teams across different regions.
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Ability to collaborate effectively with the China team and adapt to the China timezone is essential
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Scrum and JIRA experience a plus
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Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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Fast-paced Environment: Experience working in a fast-paced, dynamic environment, preferably in a SaaS or technology-driven company.
What you'll be doing:
- Distributed Systems Development: Design, develop, and maintain backend systems and services for search functionality, ensuring high performance, scalability, and reliability.
- Search & Algorithm Optimization: Implement and optimize search and AI-driven semantic algorithms, indexing, and information retrieval techniques to enhance search accuracy and efficiency.
- Integration: Collaborate with data scientists, AI engineers, and product teams to integrate AI-driven search capabilities across the Seismic platform.
- Performance Tuning: Monitor and optimize search performance, addressing bottlenecks and ensuring low-latency query responses.
- Technical Leadership: Provide technical guidance and mentorship to junior engineers, promoting best practices in search backend development.
- Collaboration: Work closely with cross-functional and geographically distributed teams, including product managers, frontend engineers, and UX designers, to deliver seamless and intuitive search experiences.
- Continuous Improvement: Stay updated with the latest trends and advancements in search technologies, conducting research and experimentation to drive innovation.
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.