At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.
With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.
Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.
Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.
The Role:
Forge’s quality engineering team’s charter is to improve product quality. We thrive on holding high standards, obsessing over our customers, and living our values of being bold, humble and accountable.
We are seeking a Sr Software Development Engineer in Test with experience developing testing solutions and tooling to improve quality for financial trading systems or similar applications. This role will work on our platform and reliability engineering team. These teams own Forge’s infrastructure, developer experience and deployment engineering. We are looking for a senior, technical and customer focused candidate who will also embody Forge values. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, shipping great product experiences, and making data-driven decisions. They will be working closely with other quality engineers in the team to define and execute the testing strategy.
Responsibilities:
- Build comprehensive bottoms up Test Strategies for infrastructure changes and releases
- Built test automation frameworks, tools, solutions to make testing faster, efficient and stable
- Leverage artificial intelligence technologies to augment testing activities
- Experience with AI solutions such as agentic automation, MCPs, RAG applications etc
- Write tests plans covering various customer use cases – functional, compliance & legal aspects
- Engage is projects from the initiation phase to identify gaps in requirement and failure modes in design
- Automate tests based on what’s most valuable and high priority
- Collaborate with Forge’s product, design, information security and business team members to quickly grasp domain knowledge.
- Develop concise, articulate, and detailed documentation[RP1.1][AD1.2]
- Participate in scope definition, requirements analysis, functional and technical test design, test gap analysis with assistance from other team members
- Provide technical assistance in the diagnosis of issues
- Assist in identification of defect trends of their areas and partner with development teams to fix the root cause
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field (or 5 years software engineering experience)
- 5-10 years of software testing experience
- Fintech, Trading or Financial services industry experience
- Experience in leading quality efforts for internet applications
- Experience in test automation on UI, API or others
- Experience in enhancing existing Test Automation frameworks – Playwright, Cypress, Selenium, K6 etc.
- Experience with CI/CD Pipelines
- Fluency with AI technologies related to testing and validation
Desired Qualifications:
- Experience in E2E Automation, contract testing, API Automation, load & performance testing
- Experience mentoring other quality engineers
- Proven track-record of teamwork and delivery
- Experience at high-growth, venture-backed startups
For residents of the San Francisco, CA area, the annual salary range for this role is $175,000 - $205,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors
Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.
Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.
Forge San Francisco, California, USA Office
Forge San Francisco Office Office
Our SF office is located in the heart of the financial district and right next to the historic Ferry building.
Similar Jobs at Forge
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
