Engineer II

at TrueML
πŸ’° $48k-$60k
πŸ‡¦πŸ‡· Argentina - Remote
πŸ“Š DataπŸ”΅ Mid-level

Job description

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

As an Engineer II at TrueML, you will be a pivotal member of our data services team, responsible for developing the data streaming platform, the common event bus as well as a number of other critical services to meet the data needs for our domain teams. We are looking for an engineer who is not just technically strong, but a collaborative problem-solver who actively contributes new ideas, flags inefficiencies, and is passionate about continuous improvement for themselves and their team.

Work-Life Benefits

  • Unlimited PTO
  • Medical benefit contributions in congruence with local laws and type of employment agreement

Key Responsibilities:

  • Write clean, concise, high-quality, and well-tested code for highly reliable services with some guidance from senior team members.
  • Take independent ownership of delivering tasks and stories from technical design to completion with limited assistance.
  • Manage cloud infrastructure for data services using Infrastructure as Code (IaC).
  • Actively share knowledge and contribute to team documentation, including code documentation, wikis, and release plans.
  • Collaborate closely with other engineers, product managers, technical program managers, and stakeholders to clarify requirements, drive context, and ensure the successful delivery of mid-sized projects.
  • Be part of team’s oncall schedule. Respond to and troubleshoot issues in the production environment.
  • Document and/or refactor legacy code to improve observability, maintainability, and efficiency.

You Have:

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree is a plus).
  • 2-5 years of relevant professional experience in a backend engineering role.
  • Hands-on experience with Amazon Web Services (AWS) is required.
  • Proficiency in Go (Golang)
  • Experience with Infrastructure as Code (IaC) tools, preferably Terraform.
  • Good communication skills to articulate the “why” behind your work and explain complex technical problems.
  • A solid understanding of basic system architecture, software engineering practices.
  • The ability to quickly learn new technical areas and ship code without requiring constant feedback.
  • Experience testing and debugging your own code and troubleshooting issues in lower and production environments.
  • Experience with Scala is a plus to work with some of our legacy code.

You Might Also Have:

  • Experience with Kafka.
  • Experience with steaming processing technology e.g. Flink, Spark Streaming.
  • Familiarity with Domain-Driven Design principles and event driven architectures.
  • Certification in relevant technologies or methodologies.

$48,500 - $60,000 a year

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.

Our Dedication to Diversity & Inclusion

TrueML is an equal-opportunity employer. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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