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Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today's digital era. Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate. As we embark on an exciting journey of growth and expansion, we are seeking top engineering talent to join our AI team in Hyderabad, India. As a Senior Engineer - 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.
Job Responsibility:
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
Requirements:
6+ years of experience in software engineering and a proven track record of building and scaling microservices and working with data retrieval systems
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
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
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
Proven ability to work remotely and collaborate effectively with teams across different regions
Ability to collaborate effectively with the China team and adapt to the China timezone is essential
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
Nice to have:
Experience with DDD (Domain driven development) or feature toggle (Launch Darkly)
NewRelic, Snowflake, Ansible, Ninjia2 experience
Front-end/full stack experience
Experience deploying containerized applications into Kubernetes
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