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Arkatechture

End-to-end BI platform with analytics consulting

Software Engineer

Backend EngineeringUpdated on Nov 13
Full-timePortland, ME, USA$90k - $100k /yr

About the Job

Requirements

  • Three or more years of professional software engineering experience.
  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
  • Proficiency developing or supporting applications in Amazon Web Services (AWS).
  • Strong programming skills in Python or another object-oriented language.
  • Solid Structured Query Language (SQL) skills and experience working with relational databases such as Snowflake or Databricks.
  • Familiarity with Representational State Transfer (REST) application programming interfaces (APIs), software development kits (SDKs), and command-line tools.
  • Ability to work with structured data formats such as JavaScript Object Notation (JSON), Extensible Markup Language (XML), and comma-separated values (CSV).
  • Strong troubleshooting, debugging, and root cause analysis skills in production environments.
  • Comfort working in Linux or Unix environments.
  • Understanding of data warehousing, business intelligence, or analytics platforms.
  • Familiarity with Git, Jira, Confluence, and Slack.
  • Experience working in Agile software development environments.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to technical and non-technical audiences.

Responsibilities

  • Troubleshoot and resolve complex production issues across the Arkalytics platform.
  • Develop software enhancements, bug fixes, and automation to improve platform stability and customer experience.
  • Investigate application, database, and cloud infrastructure issues within AWS environments.
  • Perform root cause analysis and implement long-term solutions to prevent recurring issues.
  • Build and maintain clean, reliable, and well-tested code.
  • Improve monitoring, alerting, logging, and operational tooling.
  • Collaborate with Support Services, Customer Success, Product, and Engineering teams to resolve customer issues efficiently.
  • Participate in Tier 2 and Tier 3 production support and shared on-call rotations.
  • Contribute to system documentation, knowledge sharing, and continuous process improvements.
  • Participate in code reviews and help maintain high engineering standards.
  • Stay current with emerging technologies and recommend improvements that enhance the platform.

Desired Qualifications

  • Familiarity with containerized and cloud-native technologies such as Docker, Elastic Container Service (ECS), Fargate, Kubernetes, or microservices.
  • Knowledge of NoSQL databases such as DynamoDB.
  • An AWS certification, or willingness to obtain one.
  • Familiarity with continuous integration and continuous delivery (CI/CD) pipelines and DevOps practices.
  • Financial services industry experience.
  • A collaborative mindset, intellectual curiosity, and a commitment to continuous learning.

About the Company

Arkatechture

End-to-end BI platform with analytics consulting

Arkatechture provides data analytics consulting and a proprietary analytics platform focused on credit unions and community banks. It combines Arkalytics, an end-to-end business intelligence solution that includes a managed data warehouse, data visualization, and a suite of financial reports and dashboards, with professional services such as data engineers, cloud engineers, and data scientists for staff augmentation and strategic projects. Arkalytics unifies data from core systems and loan origination platforms into a single source of truth, enabling data-driven decisions. The company differentiates itself by specializing in the credit union niche, offering both a platform and hands-on consulting, and has established a dedicated Credit Union Service Organization (CUSO) to deepen partnerships with credit unions. Its goals include expanding its customer base, growing its Arkalytics platform, and helping credit unions and community banks achieve scalable, governed data analytics.

Company size
51-200
Company stage
Early VC
Total funding
$2.5M
Headquarters
Portland, OR
Founded
2012

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