Staff Engineer, AI & Platform Engineering

Science Exchange, Inc.
San Francisco, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Confluence JIRA Code Review Collaborative Software Custom Software Software Debugging Amazon DynamoDB Github Node.Js
+14 more
Object-Oriented Software Development Software Architecture Salesforce.Com TypeScript Web Applications AWS Cdk Pulumi Apex Code ReactJS Infrastructure Automation Frameworks Information Technology Salesforce Object Query Language (SOQL) Functional Programming Api Gateway

Job description

  • Lead the full development lifecycle from technical design through development, testing, and deployment, ensuring alignment with long term architectural goals
  • Translate designs and prototypes into robust, scalable code, using both out-of-the-box platform features and custom development where needed
  • Champion the adoption of AI-assisted engineering practices across the team, including evaluating tools, establishing best practices, and running internal training sessions
  • Break down complex, ambiguous work into clear, estimable pieces and lead team-level estimation
  • Identify and resolve difficult bugs and performance issues, and provide guidance on debugging, optimization, and security
  • Provide thoughtful, constructive feedback in code reviews to raise the quality bar across the codebase
  • Communicate technical concepts, tradeoffs, and recommendations clearly across engineering, product, and business partners

Requirements

We are looking for a Staff Engineer with deep technical experience and a track record of leading complex engineering initiatives. At Science Exchange, you will help architect and scale a platform that accelerates scientific research. We are seeking an engineer who can operate at a high technical level while also raising the bar for the rest of the team, including our adoption of AI assisted development practices. Our platform is built using a combination of Salesforce and AWS, and this role will play a key part in shaping how both are used going forward., The ideal candidate is a seasoned engineer who thinks in systems, not just tickets. You have led architectural decisions, mentored other engineers, and are comfortable being the person a team turns to when a hard problem needs solving. You have hands-on experience using AI tools in your own engineering workflow, whether that is AI-assisted coding, code review, testing, or documentation, and you are excited to teach those practices to others. You communicate clearly with both technical and non-technical partners, and you take ownership of outcomes, not just output., * 8 or more years of professional experience building and scaling web applications, with demonstrated experience operating at a Staff or senior technical leadership level

  • B.S. in Computer Science or equivalent experience
  • Strong, hands-on experience with AI-assisted development tools and workflows, and demonstrated ability to train or mentor other engineers on their use
  • Deep expertise with React, TypeScript, and Node.js
  • Strong experience with AWS services such as Lambda, DynamoDB, and API Gateway; experience with infrastructure as code tools such as AWS CDK, SST, or Pulumi is a plus
  • Experience with Salesforce development, including Apex, SOQL, and the LWC framework, is a plus
  • Demonstrated ability to lead technical design discussions and drive architectural decisions across a team
  • Proven track record mentoring engineers and improving team-level engineering practices and processes
  • Strong understanding of object-oriented design, agile development, and remote collaboration tools such as Jira, Confluence, and GitHub
  • Excellent written and verbal communication skills, with the ability to work effectively across multiple time zones
  • Detail-oriented, with the ability to manage multiple priorities in a fast-paced environment

Benefits & conditions

The US-based salary range for this full-time position is $200,000 to $220,000. Our salary ranges are determined by role and seniority level. Within the range, individual pay is determined by additional factors including job-related skills, experience, and relevant education and/or training. We also offer incentive compensation and health, dental, and vision benefits for all US-based roles.

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