Staff Back End Engineer, Trading
AI summary of the role
Staff Back End Engineer on the Trading team at Altruist, a fast-growing AI-forward custodian for independent RIAs.
What you’ll do
- Lead and mentor engineers, stewarding engineering best practices.
- Build and scale services and user-facing web applications for trading workflows.
- Develop and maintain scalable data pipelines and ELT processes.
- Build new data integrations and perform data analysis to resolve issues.
What you’ll bring
- 8+ years of software engineering experience building precise and scalable distributed systems.
- Proficiency with Java, Spring Boot, Microservices, AWS, Postgres, Kubernetes.
- Strong communication, ownership, and creative problem-solving skills.
- B.A./B.S. in Computer Science or related field (preferred).
Technologies
Java · Spring Boot · Microservices · AWS · Postgres · Kubernetes · ELT · data pipelines
About Altruist
AI-forward custodian and wealth platform combining self-clearing brokerage, portfolio software, and advisor AI so independent RIAs can onboard, trade, bill, and serve clients in one stack.
Series F · 500–1000 people
Source and classification
Deployment team leadership · Evidence for this classification:
mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one. Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles. The opportunity Altruist is in the midst of an exceptional growth phase and we’re excited to hire Staff Back End Engineers to join our growing Trading team. This is a hybrid role, with an expectation of being in the office three days each week out of our Culver City or San Francisco office. Your impact Act as a leader and steward of engineering best practices, helping to mentor other engineers and develop impactful solutions. Analyze and solve complex problems spanning multiple user personas and workflows Focus
More from the job description
About Altruist Altruist is transforming the multi-trillion dollar wealth management industry by building an AI platform for wealth professionals. We partner with financial advisors nationwide, empowering them to grow, optimize time and resources, and deliver superior outcomes for their clients. We're looking for exceptional talent to help us achieve our mission of making financial advice better, more affordable, and accessible to all. If you're passionate about challenging the status quo and want to do the most important work of your life, we'd love to meet you! But first, our values Kindness - Kindness doesn’t just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully. Brilliance - Humility is the skill we’re most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one. Grit - When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it’s hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles. The opportunity Altruist is in the midst of an exceptional growth phase and we’re excited to hire Staff Back End Engineers to [... source excerpt omitted ...] actful solutions. Analyze and solve complex problems spanning multiple user personas and workflows Focus on building and scaling services and user facing web applications Build customer centric scalable and performant applications and features Develop and maintain scalable data pipelines and ELT processes Build new data integrations based on established requirements Perform data analysis to investigate and resolve data issues What you bring Experience - 8+ years of software engineering experience building precise and scalable distributed systems with best engineering practices Education - Ideally looking for a B.A. / B.S. degree in relevant fields such as Computer Scienc
Employer postings · Data from · Sources