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Entry Level Fintech Software Engineer Jobs in California

Cleric

Staff Software Engineer, AI

San Francisco, CA · On-site

$200K - $240K/yr

Our product is in production at high-scale technology companies in fintech, ride-hailing, and autonomous vehicles. About the role We're hiring a Staff Software Engineer, AI. You will drive the ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

$161K - $195K/yr

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

$161K - $195K/yr

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

$161K - $195K/yr

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

$135K - $150K/yr

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Robinhood

Software Engineer

Menlo Park, CA · On-site

$135K - $150K/yr

We're looking for an exceptional Software Engineer to help shape the future of our core platforms ... FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we ...

Lightspark

Software Engineer

Los Angeles, CA · On-site

$140K - $165K/yr

Build at the intersection of AI, fintech, and Bitcoin infrastructure (and eat well, lunch is on us ... We need engineers with an appetite for ownership and a high bar for your own output. You should ...

Lightspark

Software Engineer

Culver City, CA

Build at the intersection of AI, fintech, and Bitcoin infrastructure (and eat well, lunch is on us ... We need engineers with an appetite for ownership and a high bar for your own output. You should ...

Parker

Software Engineer I

Irvine, CA · On-site

Professional entry level position. May have limited prior industry experience or have worked with direction in student internship programs. * Fundamental knowledge of software engineering domain ...

Apple

Software Engineer - Setup

San Francisco, CA

$147K - $220K/yr

Software Engineer - Setup Apple devices have revolutionized how people live, connect, and work. It's not by chance! By thoughtfully blending beautiful, premium hardware with intuitive, innovative ...

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All JobsFintech Software Engineer JobsEntry Level Fintech Software Engineer JobsEntry Level Fintech Software Engineer Jobs in California

Entry Level Fintech Software Engineer information

How to get into fintech as a software engineer?

To become an entry-level fintech software engineer, develop strong programming skills in languages like Python, Java, or C++, and gain knowledge of financial concepts and regulations. Building experience through internships, contributing to open-source projects, and obtaining certifications such as CFA or financial technology courses can improve your prospects. Familiarity with tools like APIs, blockchain, and data analysis platforms is also beneficial.

What are the key skills and qualifications needed to thrive as an Entry Level Fintech Software Engineer, and why are they important?

To thrive as an Entry Level Fintech Software Engineer, you need a solid grounding in programming languages (such as Python, Java, or C++), understanding of algorithms, and a relevant degree in computer science or a related field. Familiarity with financial software platforms, APIs, databases, and code versioning tools like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with cross-functional teams and address complex challenges. These skills ensure you can develop reliable, secure, and compliant software solutions vital to the fast-paced fintech industry.

What is the difference between Entry Level Fintech Software Engineer vs Entry Level Data Analyst?

AspectEntry Level Fintech Software EngineerEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentDeveloping financial software, coding, testing, and deploying applicationsAnalyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageFintech companies, banks, financial institutionsFinancial services, consulting firms, fintech firms

While both roles support financial technology firms, the Entry Level Fintech Software Engineer focuses on building and maintaining software applications, whereas the Entry Level Data Analyst interprets data to inform business decisions. Both roles require a strong technical background, but their daily tasks and skill sets differ significantly.

What does an Entry Level Fintech Software Engineer do?

An Entry Level Fintech Software Engineer is responsible for developing, testing, and maintaining software solutions specifically for financial technology applications. They typically work on building secure and scalable platforms, integrating APIs, and ensuring compliance with financial regulations. These engineers collaborate with senior developers and other teams to deliver features that improve financial products and customer experiences. They also troubleshoot issues, write documentation, and may work with technologies such as Python, Java, or cloud platforms.

What engineer makes $500,000 a year?

While most entry-level fintech software engineers do not earn that level of salary, senior engineers with extensive experience, specialized skills in areas like algorithm development or financial modeling, and working at large tech firms or hedge funds can reach or exceed $500,000 annually through base pay, bonuses, and stock options.

How to get a job in fintech with no experience?

Entry level fintech software engineer roles often require foundational programming skills in languages like Python or Java, familiarity with financial concepts, and knowledge of relevant tools such as SQL or APIs. Gaining experience through online courses, internships, or personal projects can improve your chances, and certifications like CFA or fintech-specific training can also be beneficial.

How much does a software engineer at fintech make?

Entry-level fintech software engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and skills. Salaries can increase with experience, certifications, and proficiency in programming languages like Python, Java, or C++.

What are some common challenges faced by entry level fintech software engineers, and how can they overcome them?

Entry level fintech software engineers often encounter challenges such as understanding complex financial regulations, adapting to rapidly changing technologies, and working with large-scale, secure systems. To overcome these, new engineers should proactively seek mentorship from experienced colleagues, participate in continuous learning (such as online courses or company training), and collaborate closely with cross-functional teams like compliance and product. Embracing agile development practices and staying curious about financial industry trends can also help accelerate their growth and confidence in the role.
What are the most commonly searched types of Fintech Software Engineer jobs in California? The most popular types of Fintech Software Engineer jobs in California are:
What are popular job titles related to Entry Level Fintech Software Engineer jobs in California? For Entry Level Fintech Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Fintech Software Engineer jobs in California look for? The top searched job categories for Entry Level Fintech Software Engineer jobs in California are:
What cities in California are hiring for Entry Level Fintech Software Engineer jobs? Cities in California with the most Entry Level Fintech Software Engineer job openings:
Entry Level Fintech Software Engineer jobs near you

Staff Software Engineer, AI

Cleric

San Francisco, CA • On-site

$200K - $240K/yr

Full-time

Posted 7 days ago

Job description

Join us at Cleric
We're building a future where engineers are focused on designing and building products, freeing them from operational toil. We're starting with an AI-powered SRE agent that remediates issues in production environments autonomously. It uses an LLM-based reasoning engine to react to, interpret, and implement solutions to production issues, even those it's encountering for the first time.
Now is a divine time to join. We're a small group of veterans in AI, software, and infrastructure, backed by a leading AI venture capital firm and Silicon Valley angels. Our product is in production at high-scale technology companies in fintech, ride-hailing, and autonomous vehicles.
About the role
We're hiring a Staff Software Engineer, AI. You will drive the development of our agent. You will be working on the reasoning, learning, and integrations of our SRE agent, and also the underlying runtime and technical architecture of the complete product. You'll help keep engineering standards high, define the experience for our customers, and push the agent to solve increasingly more complex SRE challenges in a fundamentally non-deterministic environment where correctness is measured through evaluation, not code inspection.
What you'll do:
  • Design and implement agent evaluation frameworks to measure performance and reliability
  • Debug agent behavior, not just code: trace the agent's reasoning, tool choices, and context to understand why it made specific decisions.
  • Build autonomous agents capable of executing complex, multi-step tasks
  • Develop self-improving systems that can adapt based on feedback and results
  • Expand agent observability to resolve day-to-day issues with tool-calling and agent orchestration

You have:
  • You've spent years building and operating production systems and have a foundation in ML fundamentals. You understand recall, precision, and F1 scores, and why accuracy alone is misleading.
  • You've built at least one agent end-to-end.
  • You regularly use coding agents and AI assistants for real work and have opinions about where they fail or succeed.
  • You have strong software engineering fundamentals and have opinions on how to build robust, scalable, and secure software.
  • You've operated high-scale distributed infrastructure. You've seen it done right, and you've seen it gone wrong. Kubernetes, Kafka, Spark, microservices, and all the usual suspects.
  • You've built complex systems at scale. We use Python, but value experience with systems languages (Rust, C++, Go) or JVM languages (Kotlin, Scala).
  • You are a methodical thinker and try to understand the big picture
  • You challenge assumptions and propose pragmatic solutions

Nice to have:
  • Deep SRE or platform engineering experience
  • Previous startup experience

How we work
  • Small teams, big impact: We believe that small teams can deliver great products.
  • Culture matters: We value radical candor in a positive and inclusive work environment.
  • In-person collaboration: We believe in working closely to deliver the best results.
  • AI-first approach: We don't simply build AI products; we augment ourselves with it.

Interview process (you'll meet most of the team via the process)
  1. Intro Call
    • Discuss your experience, the company, product, and the role
    • Lightning tech screen (10 mins) on agent building fundamentals and engineering practices
  2. Software Engineering Session (1 hour)
    • Collaboratively build an application
    • Focus on practical software engineering, not algorithm challenges
  3. System Design Session (90 mins)
    • Work through a system design problem relevant to your daily work
  4. Bar Raiser (60 mins)
    • Product thinking
    • Engineering practices

Apply