Senior Software Engineer at G2 | Austin, TX, US | Rezi

Senior Software Engineer at G2

Senior Software Engineer

G2 · Austin, TX, US

3 weeks ago

Senior Software Engineer

G2 · Austin, TX, US

a month ago
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About the Role

As a Senior Software Engineer, you will create new products and features end-to-end, architect solutions, delegate implementation, and review agent work. You will be a key voice in defining product concepts and act as a hands-on technical partner to stakeholders and leadership, adopting industry-leading agentic engineering techniques and leveraging "agent-first" ways of working.

Responsibilities

  • Contribute across the full software stack to deliver user journeys to production, owning implementation quality from architecture to release.
  • Design and build agents that apply prompts, context, tools, and model reasoning to fulfill user journeys, generate content, and automate processes.
  • Apply sound software engineering and system design principles to produce solutions that are observable, maintainable, scalable, and production ready.
  • Validate solutions against functional requirements using both traditional QA methods, model-based evals, and agent tracing to ensure quality is measurable and reproducible.
  • Incorporate agentic software engineering techniques into the development workflow across the SDLC, from planning, design, implementation, testing, and maintenance.
  • Drive product definition with designers and PMs: ideate, explore, and prototype with stakeholders, then cut down possible options to arrive at deliverable, but well-rounded solutions.
  • Wholly conceive and ship features & MVP iterations early in the product definition phase that directly advance high-visibility organizational goals.
  • Strike the right balance between investment in UX quality and tending to practical business needs through the product development process.
  • Partner with other engineering stakeholders to identify what technology makes possible, and what makes implementing a given product or feature hard. Bring that perspective into project scoping and prioritization.
  • Share knowledge, techniques, and agentic software engineering practices in async formats and dedicated venues, like technical discussions and team meetings.
  • Champion the use of AI solutions for engineering and product tasks, accelerate product velocity and team’s execution.

Requirements

  • 5-8 years of experience working as a Software Engineer, with proven experience building enterprise-scale applications.
  • Solid working proficiency in Typescript/Javascript or Python, and familiarity with modern web application frameworks like React, Next.js, or Rails.
  • Broad full-stack ownership; comfortable directing agents across both frontend and backend development.
  • Strong understanding of data schemas, databases, APIs, and AWS infrastructure, including how to structure data so it holds up at high volume and returns quickly under load; hands-on experience with performance testing, logging, and monitoring.
  • Hands-on experience building AI and agent-powered features and systems using frontier models from OpenAI, Anthropic, or Google.
  • Comfort working AI-first: delegating implementation to AI agents (e.g., Claude Code, Codex, Opencode, Pi), reviewing outcomes, and guiding architecture as part of the daily development workflow.
  • Understanding of the strengths and limitations of frontier models and open weight models.
  • Experience with continuous delivery through feature flagging and trunk-based development.

Skills

  • Typescript/Javascript
  • Python
  • React
  • Next.js
  • Rails
  • Data schemas
  • Databases
  • APIs
  • AWS infrastructure
  • Performance testing
  • Logging
  • Monitoring
  • Golang
  • AI
  • Agent-powered features
  • Agent systems
  • OpenAI
  • Anthropic
  • Google
  • Claude Code
  • Codex
  • Opencode
  • Pi
  • Frontier models
  • Open weight models
  • Continuous delivery
  • Feature flagging
  • Trunk-based development
  • Deploying open-weight models
  • Fine-tuning open-weight models
  • Agent orchestration frameworks
  • Distributed messaging
  • Event-streaming systems
  • Kafka

Experience Level

  • Senior

About the Company

  • G2 is the world's largest and most trusted software marketplace, helping businesses reach their peak potential by powering decisions and strategies with trusted insights from real software users.
  • G2 has joined forces with Capterra, SoftwareAdvice, and GetApp to create the largest source of online data and software insights to fuel intelligent buying in the age of AI.
  • With 200M+ combined annual visitors and 6M verified reviews, G2 is the centralized place to enable software buyers to make better and faster decisions with confidence.
  • G2 is setting out to transform the global B2B software industry and become the most trusted data foundation for buyers and sellers of software for the age of AI.
  • At G2, everything is grounded in PEAK values— (Performance + Entrepreneurship + Authenticity + Kindness).
  • Working at G2 means you are part of a value-driven, growing global community that climbs PEAKs together.
  • G2 fosters a global, diverse team of smart, dedicated, and kind individuals.
  • G2's culture includes people-led ERGs that celebrate and highlight diverse identities.
  • G2 is intentional about its DEI and philanthropic work (like its G2 Gives program).

Equal Opportunity

  • At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome.
  • We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status.
  • G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements.
  • While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.
  • If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice.
  • Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team.