griddable.io · 5 hours ago
Senior Software Engineer - AI Productivity Tools & Performance Engineering
San Francisco, CA
Full-time
Onsite
Senior Level
5+ years expGriddable.io is focused on enhancing workflows through AI-powered productivity tools, and they are seeking a Senior Software Engineer to design and develop applications for internal engineering teams. The role involves maintaining distributed services, automating tasks, and optimizing AWS infrastructure to improve developer efficiency and performance analysis.
AnalyticsBig DataCloud Data ServicesData IntegrationInformation TechnologySaaSSoftware
Responsibilities
Develop productivity tools that enhance engineering efficiency through automated performance monitoring, anomaly detection, and issue resolution
Build intelligent frameworks that automate performance anomaly detection, infrastructure health checks, and root cause identification across telemetry, logs, and system utilization metrics
Explore emerging AI landscape and web technologies and collaborate with senior team members to identify and advance opportunities for tool improvements
Participate in product design discussions and help address software performance issues by identifying hotspots and developing prototypes to demonstrate potential solutions
Leverage a deep understanding of AWS services to design, build, and maintain scalable tools and services
Instrument, benchmark and define baselines to evaluate latency, reliability, and accuracy, identify gaps, and optimize performance
Develop and maintain highly available, scalable mission critical distributed services to enhance developer efficiency through visualizations and AI powered automated analysis
Clearly communicate your work, findings, and analysis to team members and present recommendations effectively to technical audiences
Qualification
Required
A related technical degree required
5+ years of software development experience, with strong fundamentals in data structures, algorithms, and design patterns
Python is highly preferred; experience in Java is a plus
Hands-on experience with AWS services (EC2, S3, RDS, ECS, Lambda), optimizing architectures for scalable and cost-effective operations
Solid understanding of distributed systems, databases, and cloud infrastructure
Strong problem solving, communication, and collaboration skills
Curiosity and initiative to question, and explore the evolving Gen AI landscape
Preferred
Master's in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related technical field
Knowledge of profiling tools (e.g., perf, FlameGraphs) and performance diagnostic techniques
Knowledge of AI agent frameworks like LangChain, Semantic Kernel, or AutoGen
Familiarity of various prompting strategies (e.g., zero-shot, few-shot, chain-of-thought) to elicit desired responses from Large Language Models (LLMs)
Familiarity with telemetry and production analysis (metrics, traces, logs), and applying AI to solve observability or debugging challenges
Company
griddable.io
Griddable.io is a San Jose, CA based SaaS startup that closed Series A funding in 2017 from August Capital, Artiman Ventures, and Carsten Thoma, founding CEO of Hybris (acquired by SAP).
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$8M2019-01-28Acquired
2018-02-28Series A· $8M
Leadership Team
Burton Hipp
VP of Engineering/Founder
Company data provided by crunchbase