Staff Engineer

Remote

Full-time

Staff

$180k–$200kPosted 1mo ago

Real job — pulled straight from Jobgether’s careers page · Verified September 12, 2026 · No reposts.

Jobgether is hiring a Staff Engineer — a full-time, remote role ($180k–$200k). Apply directly on Jobgether's careers page below.

Staff Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer based in United States.

This is a senior technical leadership role focused on shaping scalable, reliable software products and engineering practices.
You will tackle complex technical challenges while remaining deeply involved in architecture, coding, reviews, and delivery.
The role offers the opportunity to influence distributed systems, cloud-native platforms, APIs, and multi-tenant SaaS architecture.
You will also help advance data and AI capabilities by partnering with teams working on analytics, ML, and LLM services.
Beyond your own technical contributions, you will mentor engineers and establish patterns that make teams more effective.
Working closely with product and engineering leadership, you will help align technical decisions with strategic roadmap priorities.
Your impact will be visible through stronger reliability, performance, delivery speed, and long-term engineering quality.

Accountabilities:

Own and solve some of the most challenging technical problems, proactively identifying gaps and stepping in where needed to help engineering teams meet commitments.
Design, develop, and evolve core technical patterns that guide software development across products and platforms.
Write high-quality production code, prototypes, reference implementations, and reusable components.
Provide hands-on technical guidance through pair programming, architecture and design reviews, and code reviews.
Lead the design and implementation of distributed systems, cloud-native architectures, API solutions, and multi-tenant SaaS patterns.
Partner with data and AI teams to integrate applications with data pipelines, analytics platforms, and ML or LLM services.
Identify performance bottlenecks, architectural gaps, and technical risks, then drive pragmatic and scalable solutions.
Lead cross-functional technical initiatives that improve the architecture, codebase, reliability, performance, and delivery velocity.
Mentor engineers and promote a culture of learning through clear technical patterns, constructive reviews, and hands-on collaboration.
Serve as a trusted technical partner to product and engineering leaders on complex or high-risk initiatives.
Work closely with product leadership to ensure the technical foundation supports and accelerates roadmap delivery.

Requirements:

Deep experience as a hands-on Staff-level engineer working with distributed systems at scale.
Strong background in cloud-native engineering, with experience in AWS and/or Azure preferred.
Solid expertise in microservices architecture and SaaS development patterns.
Experience building or supporting data and AI workloads, including integrations with machine learning or LLM services.
Demonstrated ability to design robust technical solutions and translate complex engineering challenges into clear, actionable approaches.
Strong software development skills and the ability to remain actively involved in coding and technical implementation.
Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, data, and AI teams.
Proven ability to mentor engineers, influence technical direction, and raise engineering standards across an organization.
Strong judgment and pragmatism when evaluating technical risks, architectural decisions, and competing priorities.

Benefits:

Annual salary of $180,000–$200,000, with compensation varying based on geographic market, job-related knowledge, skills, and experience.
Medical, dental, and vision benefits.
401(k) plan with company match.
Paid Time Off (PTO).
Opportunity to work on complex distributed systems, cloud-native technologies, and emerging data and AI capabilities.
Significant technical influence across architecture, engineering practices, and product development.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1