Top Senior Level Scala Jobs in San Francisco Bay Area
Seeking an experienced Senior Lead Engineer to build and maintain APIs and SDKs for training and accessing AI models at scale. Responsibilities include architecting core APIs, designing for performance and scale, enabling users to build new AI capabilities, and implementing AI safety measures.
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems. Collaborate with digital product managers to deliver robust cloud-based solutions using various programming languages and cloud services.
Senior Manager role in Generative AI Product Engineering, leading a team to build and maintain APIs and SDKs. Work with Large-Language Models (LLMs) and Foundation Models (FMs) using public cloud infrastructure. Design and implement key API products and services, enable real-time customer-facing applications, and ensure AI safety and guardrails.
Seeking a backend software engineer with experience in large-scale distributed systems to join CrowdStrike and positively impact their mission to stop breaches. Responsibilities include working on the Cloud Protocol, collaborating with Falcon Sensor teams, and scaling backend systems.
Seeking a Senior-level Engineer with experience in building and maintaining scalable data infrastructure/platforms and tools, foundational knowledge in algorithms, software engineering/development, and operational research. Must be technically proficient and possess strong communication skills.
Technical Lead role to drive technical strategy and execution for Platform Adoption at Asana, focusing on Asana's Developer Platform and app ecosystem. Responsibilities include setting technical strategy, advocating for engineering-driven investments, leading product engineering teams, and collaborating with cross-functional teams.
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Lead Software Engineer role on the Alerts team, responsible for building a highly scalable stream processing platform to detect anomalies and provide actionable insights to customers. Technologies used include Java, Flink, Kafka, Debezium, Elasticache. The role involves building a real-time data processing platform and developing innovative anomaly detection algorithms.
Join ServiceNow as a Senior MLOps Engineer to build MLOps Platform, develop ML tooling, and drive platform adoption. Responsibilities include implementing scalable architectures, developing cloud solutions, and automating testing of ML models. Requires 5+ years of exp, Bachelor's, or equivalent degree, proficiency in Python, R, SQL, and experience with MS Azure and DevOps tools.
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Senior Backend Software Engineer at Atlassian, responsible for driving large, complex projects, leading code reviews and bug fixes, and mentoring junior team members.
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Lead a team of engineers in designing and deploying enterprise-class web applications, focusing on backend systems, database design, and UI development. Collaborate with cross-functional teams to ensure scalability, performance, and a seamless user experience. Set technical direction and mentor team members in a SaaS environment.
Seeking a Staff Software Engineer to join the Data Platform team at Thumbtack. Responsibilities include integrating data-thinking into the software development lifecycle, identifying gaps in current capabilities, collaborating with cross-functional teams, driving data quality, and building marketing data products. Must have 8+ years of experience.
Lead the development, optimization, and productionization of a petabyte-scale data platform using Beam and Spark in the cloud. Build self-serve capabilities for customers to adopt the next generation data processing platform. Design and implement scalable distributed data systems in the cloud using the latest technologies. Take ownership of technical projects and contribute to the team's product roadmap. Conduct technical interviews, recruit, onboard, and mentor junior engineers and interns.
The Architect/Principal Engineer at Domino Data Lab is responsible for translating knowledge of AI/ML into strategic vision, guiding technical decisions, collaborating on product roadmap, overseeing project execution, and ensuring code quality and risk management. This role requires strong technical expertise, leadership skills, and the ability to balance multiple priorities.
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