Senior Software Engineer

Role Description

The Sr. Software Engineer is the engine room of our engineering org. You will lead projects from planning through execution, write the code on the hardest pieces, and raise the bar for the engineers around you. You'll also be a force multiplier for AI-assisted development on your team, modeling how to use Claude, Copilot, and agentic workflows to ship faster without compromising quality.

Responsibilities

• Lead delivery of more in-depth initiatives from planning through launch in partnership with product and technical leadership, where you own the technical execution.
• Take on the hard parts. When a project has a complex or critical piece, you're the one writing it.
• Shape architecture. Participate actively in design discussions, write design docs, and weigh tradeoffs out loud so the team can learn from your reasoning.
• Mentor mid-level and junior engineers. Pair, code-review thoughtfully, and help teammates level up their skills, including their AI tooling fluency.
• Drive process improvements. Spot recurring pain in the team's workflow and propose changes, not just complaints.
• Push the AI-native bar. Build internal tooling, prompt patterns, and agentic workflows that make the whole team faster, not just yourself.
• Be a reliable code reviewer on PRs across the team, including outside your immediate project area.
• Operate cleanly on-call. Know your services in production; lead incident response when needed and write the postmortem.

Requirements

• 5+ years building production software, with a track record of leading non-trivial projects to completion.
• Demonstrated ability to make sound architectural decisions and explain tradeoffs clearly in writing.
• Strong technical depth in at least one of: backend systems, API design, distributed services, web frontend, or mobile.
• Mentorship experience and a track record of helping teammates grow.
• Fluent, deliberate use of AI tooling across the full engineering lifecycle (design, code, test, debug, review, docs).

Preferred Qualifications

• Experience leading projects in marketplace, ticketing, e-commerce, or two-sided platform environments.
• Comfort with Datadog, Grafana, Kibana, Airbrake, Sentry, OpsGenie, or comparable production tooling.
• Built or contributed to internal LLM-powered tools, agent workflows, or RAG systems.

Benefits

• You'll build the infrastructure live events run on; millions of tickets, hundreds of venues, many of the largest teams and events in the world.
• A lean team where decisions move fast and your code reaches real fans, often the same week.
• Every release has stakes. Every improvement is felt.
• High expectations, low tolerance for politics, and a culture built on writing well and shipping with care.

Engineering Principles

• AI-assisted engineering. Every engineer uses Claude, Claude Code, Copilot, and agentic tooling as a routine part of their workflow.
• Remote-ready, async-first. Most decisions happen in writing through Jira, Confluence, PR descriptions, design docs. We over-communicate on changes and under-communicate on noise.
• Ownership mindset. Engineers are responsible for what they write and no code reaches production without review. Reviewers are co-owners.
• Observability is part of "done." If the on-call engineer can't understand a system without reading source, more logging, metrics, and dashboards are needed.
• Preservation of quality of code and life. We write code that is clean, tested, and maintainable so it serves us well over time, and we build sustainable processes so no one burns out or becomes a single point of failure.
• Shared knowledge and continued education. We grow as a team by learning from each other through reviews, documentation, and collaboration.

Our Stack & Ways of Working

• VL1 (our core platform), B2B marketplace, distribution integrations, partner-facing APIs
• Web & mobile clients, REST APIs, microservices
• Languages: Ruby, Python, Typescript, C-Sharp
• Frameworks and Technologies: Rails, FastAPI, .NET, Postgres, DynamoDB, MSSQL Server, Docker, Terraform
• Cloud Providers: AWS, Azure
• Data: Snowflake, dbt, Dagster, AWS, Azure Data Factory, Sigma, Airflow
• AI tooling: Anthropic / Claude Code, GitHub Copilot, in-house agentic workflows
• Observability: Datadog, Grafana, Elastic/Kibana, OpsGenie
• Collaboration: Jira, Confluence, GitHub, Slack, Miro
• Async-first, agile cadences, distributed onshore + offshore teams

Victory Live is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, Veteran status, or another characteristic protected by state, local or federal law.