Junior Software Engineer

Trulioo; San Diego (CA); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Comprehensive benefits

Hybrid work environment

Wellness programs

Employee ERGs

Job summary

Trulioo, the world-leading digital identity verification platform, seeks a Junior Software Engineer to advance agentic verification capabilities from proof-of-concept to production. This hybrid, full-time role is based in our San Diego hub, with a three day in-office expectation.

You should hold a Master’s in Computer Science, Data Science, Engineering, or related field and have 1–2 years of software experience.

Qualifications

• 1–2 years of software engineering experience.
• Master's degree in Computer Science, Data Science, Engineering, or a closely related field.
• Proficiency in Python and back-end development; ability to write clean, testable code.
• Understanding of SQL/NoSQL and REST API design.

Responsibilities

• Help take Discovery Agent prototypes through the SDLC, including design, implementation, testing, and deployment via API and Agentic access.
• Harden production-ready code with improved error handling, observability, testing, and cost/latency awareness.
• Build test cases and evaluation checks for agent behavior beyond traditional software testing.
• Support data ingestion and pipelines using AWS/BigData tooling.
• Collaborate with Product and senior engineers to translate business requirements into shipped features.
• Learn and contribute to production support practices: monitoring, alerting, and incident response for AI-driven services.

Skills

Python

SQL

NoSQL

REST API design

AWS

Data pipelines

PySpark

Airflow

TypeScript/React/Node.js

Collaboration

Education

Master's degree in Computer Science, Data Science, Engineering, or related field

Tools

Apache Airflow

Dagster

OpenSearch/Elasticsearch

Spark

Presto/Trino

Hive

Terraform

AWS CDK

Job description

Are you ready to embark on a career that truly affects people around the world? Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front‑runner in our industry, we are redefining how businesses grow, innovate and comply online.

Picture yourself at the forefront of innovation, contributing to our award‑winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat fraud. Fueled by Silicon Valley support, Trulioo stands as the trusted platform that can verify more than 5 billion people and 700 million business entities spanning 195 countries.

But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online - and we’re proud to be recognized as a BC Top Employer for the second consecutive year, reflecting our commitment to an inclusive, collaborative, and people-first workplace.

Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff typically work three days per week at a hub location. Join us where excitement meets innovation and contribute to a world where trust and technology unite.

What We Offer

• Comprehensive Benefits: We provide a robust benefits package for full‑time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process.

• Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on‑site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.

• Wellness: We care about your well‑being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.

• Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization.

Position Summary:

We're looking for a Junior Software Engineer to help take various Agentic verification capabilities from proof‑of‑concept to a real, production system. This is a great fit for a recent or soon‑to‑graduate Master's student who has spent their program building real projects with modern AI tools — not just using ChatGPT, but experimenting with coding assistants and building agent‑style projects on your own initiative. We're not expecting years of professional AI experience. We're looking for people who are curious, self‑driven, and have already started exploring this space through coursework, personal projects, or hackathons, and who want to keep building in a production environment.

This role is expected to leverage AI and emerging technologies to improve productivity, enhance decision‑making, and continuously optimize how work is performed.

This will be a full‑time, permanent position working out of the San Diego office on a hybrid model (3-days per week in the office).

What You'll Be Doing:

• Help take various Discovery Agent prototypes (e.g. Vertex AI‑based) through the SDLC — contributing to design, implementation, testing, and deployment (via API and Agentic access).

• Help harden POC‑quality agent code toward production quality: error handling, observability, testing, and basic cost/latency awareness.

• Help build test cases and evaluation checks for agent behavior — an important and different skill from testing traditional deterministic code.

• Support data ingestion and pipeline work feeding the agent, using AWS/BigData tooling.

• Work with Product team and senior engineers to turn business requirements into shipped features.

• Learn and contribute to production support practices: monitoring, alerting, and incident response for an AI‑driven service.

What You’ll Bring:

• 1-2 years of experience working in a software engineering or development environment.

• Master's degree in Computer Science, Data Science, Engineering, or a closely related field.

• Solid foundation in Python and/or another backend language, with the ability to write clean, readable, testable code.

• Understanding of SQL and/or NoSQL databases, and basic API design (REST at minimum).

• Exposure to cloud infrastructure (AWS preferred) — coursework, internship, or personal project experience is fine.

• Some exposure to data pipelines or data processing (e.g., via coursework, internships, or projects using tools like PySpark, Airflow, or similar) is a plus, not a requirement.

• A self‑starter mindset — comfortable with ambiguity, asking good questions, and figuring things out rather than waiting for a fully specified task.

• Genuinely excited about working with the newest AI tooling — you've already been experimenting with it because you wanted to, not because a class required it.

• Driven to actually ship usable products: you'd rather get a real project working end-to-end than perfect just one piece of it.

• Eager to learn how production systems really work — testing, deployment, monitoring, on‑call support and troubleshooting— beyond what a class or internship typically covers.

• A good collaborator who communicates clearly and is comfortable working alongside more senior engineers. Bonus (Nice to Have, Not Required)

• Coursework or projects touching orchestration tools (Apache Airflow, Dagster), OpenSearch/Elasticsearch, or BigData tools (Spark, Presto/Trino, Hive).

• Familiarity with TypeScript/React/Node.js for full‑stack project work.

• Exposure to infrastructure‑as‑code (Terraform, AWS CDK).

• Interest or coursework in identity verification, fraud, security, or fintech.

Level-Setting on AI Experience:

• You don't need professional experience shipping AI products — we're looking for genuine curiosity and self‑directed learning and hands‑on experimentation, not a resume full of AI job titles.

• Comfortable using AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) as part of how you