Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? We are looking for a Senior Engineer to join the team that enables the core technologies that Fin is built on . This role is especially compelling for engineers who enjoy scaling Elasticsearch in production and who also like working across adjacent systems such as MySQL, ingestion pipelines, and owning how they operate from low level systems engineering to all parts of our Rails and monolith. Our team’s mission is to accelerate Fin’s growth and stability through educated and operationally excellent core technology usage. This means that we’re here to help product engineers and ML scientists build simpler, more performant product - faster. This can be through things like making low level database improvements that enhance everyone's experience, building best in class Elasticsearch tooling, or partnering with teams that utilise any of Fin’s core technologies or our build patterns. Previous projects from the team include future-proofing our databases through sharding and building a mechanism to migrate Elasticsearch indexes for scale and profit . We’re building a robust platform where your expertise will be applied to areas such as building a beautiful Messenger, an efficient teammate experience, a secure by default system, all while scaling the platform to billions of users and shipping two hundred new versions of Intercom to production every day. Delve deeper into our engineering culture at Fin.engineering and explore our engineering values . What will I be doing? - Own high-impact work on Elasticsearch at scale, including index design, shard and partitioning strategy, cluster health, performance tuning, safe migrations, and operational excellence. - Collaborate with world-class domain experts to shape our technical direction and infrastructure as we grow. - Deeply own aspects of our infrastructure at Fin and autonomously executing on high impact projects - including writing application code, automating systems, improving observability and low-level tuning of datastores used in production, test and development across Fin. - Value agility and simplicity, just as you prioritise scalability and uptime. Our continuous deployment approach ensures focus on gradual improvements. Major accomplishments are introduced incrementally, staying under the radar with feature flags. - Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as strategic work and enablement. - Play an active role in the hiring, mentoring, and career development of other engineers. - Raise the bar for technical standards, performance, reliability, and operational excellence across Fin. What skills do I need? - Excellent pragmatic engineering skills. - 5+ years experience in a production environment, with contributions to the design and architecture of distributed systems. - Strong experience with at least one major production datastore or search system, with Elasticsearch being especially relevant for this role. - Good judgment around Elasticsearch in real-world systems, such as index and mapping design, cluster operations, scaling patterns, performance tuning, or migrations. - Expertise in backend technologies such as MySQL, Memcached, as well as Linux. - Ideally, you’ve supported scaling a SaaS product in a previous role and loved the satisfaction that comes with knowing that people around the world are using something you’ve created. - Significant, demonstrated impact that your work has had on the product and/or the teams you worked with. - Proficient with standard software engineering methodologies, e.g. unit testing, object-oriented design, data structures, code reviews, design documentation, and utilising observability tooling. - Understanding of modern web apps and distributed systems, along with an ability to articulate technical challenges and solutions. - Experience as a technical lead for large multi quarter projects and programs including defining the roadmap. - Ability to learn quickly, iterate, unblock yourself, and persist until the right problem is solved. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.