Lead Software Engineer: Elasticsearch at Scale & GraphQL

Egreenservices; Oakland (CA); On-site; USD 196,000 - 279,000; Part time

Benefits offered by this job

Mentorship program

Generous benefits

Family-friendly schedules

Job summary

Investment Strategies Group in Oakland, CA seeks a part-time engineer to ship code that matters, focusing on Elasticsearch-backed systems handling high-traffic workloads. The role offers a six-figure salary ($196k–$279k) and a culture rooted in mentorship, generous benefits, and family-friendly schedules.

You will work on scaling the Oakland platform, tackle race conditions under peak traffic, and translate stakeholder needs into robust GraphQL services, all while thriving in a fast-paced,

Qualifications

• Excellent written and verbal communication
• Pattern recognition across many technology engagements
• 9+ years navigating the politics that technology work attracts
• Hands-on problem-solving that doesn't wait for permission
• Comfort working in a fast-paced, human-first environment
• Sound instincts for reading a room you've never been in before

Responsibilities

• Ship incremental improvements to Investment Strategies Group's Oakland platform on a regular cadence
• Catch the Elasticsearch race conditions that surface under Oakland peak traffic
• Sketch Cultural Awareness sequence diagrams to make the technology flow obvious
• Scale Investment Strategies Group's Time Management services from Oakland pilot to CA-wide rollout
• Translate fuzzy product wishes from stakeholders into shippable GraphQL services

Skills

Communication

Pattern recognition

Years of tech politics experience

Hands-on problem-solving

Fast-paced environment

Reading rooms

Job description

Investment Strategies Group in Oakland, CA seeks a part-time engineer to ship code that matters, focusing on Elasticsearch-backed systems handling high-traffic workloads. The role offers a six-figure salary ($196k–$279k) and a culture rooted in mentorship, generous benefits, and family-friendly schedules.

You will work on scaling the Oakland platform, tackle race conditions under peak traffic, and translate stakeholder needs into robust GraphQL services, all while thriving in a fast-paced,