- Salary
- $90k – $100k/yr
- Location
- Remote
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Education
- Bachelor
- Source
- Pinpoint
Description
Software Engineer
Department: Arkalytics - Support
Employment Type: Full Time
Location: Remote
Compensation: $90,000 - $100,000 / year
Description
Why Work Here?
At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars: Do something meaningful, With a great team, Earning what you deserve.
Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company, partnering with organizations across the fintech, AI, and financial services spaces. We combine deep industry knowledge with technical expertise to help our clients unlock the full potential of their data. Whether it’s modernizing infrastructure, building analytics platforms, or leveraging AI for smarter decision-making, we thrive at the intersection of innovation and impact.
Our team is made up of curious, collaborative, and community-minded professionals who are passionate about solving complex problems and staying ahead of what’s next in data and technology. While our roots are in New England, our reach is nationwide, and we support flexible, remote-friendly work to match.
We offer a competitive benefits package that includes:
- A flexible remote work policy with optional access to our Portland, Maine office
- A 4-day workweek after 3 years of service
- Generous paid time off, including 11 holidays
- Medical, disability, life insurance, and optional dental/vision
- 401(k) retirement plan with company match
- Training & certification reimbursement
- Milestone recognition programs, annual PTO increases, and more
All employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.
The Position
Arkatechture is seeking a Software Engineer to join our Support Services team, supporting our Arkalytics platform and related data warehousing and analytics solutions.
This role combines software engineering, cloud operations, and customer support. You'll investigate complex production issues, develop permanent solutions, improve platform reliability, and build tools and automation that make our products better for customers and teammates alike.
You'll work closely with engineers, customers, and product experts to resolve technical challenges while continuously improving the stability, performance, and scalability of our platform.
How to Apply
Please send a cover letter and resume with your application. You must submit both documents to be considered for the position. We’re building a diverse team of people who care about doing meaningful work with great people. If that excites you, apply and let’s start the conversation.
To help us get to know you, please include your resume and answer the following question in the cover letter section of your application:
To help us get to know you, please include your resume and answer the following question in the cover letter section of your application:
Describe a production issue or customer-facing technical problem you personally investigated and resolved. What was the issue, how did you troubleshoot it, what tools, logs, queries, or data did you use to identify the root cause, and what did you ultimately change or implement to resolve it? (250 words or less.)
Key Responsibilities
- Troubleshoot and resolve complex production issues across the Arkalytics platform.
- Develop software enhancements, bug fixes, and automation that 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 our platform.
- Additional responsibilities as assigned.
Skills, Knowledge and Expertise
-
3+ years of professional software engineering experience. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
- Proficiency developing or supporting applications in AWS.
- Strong programming skills in Python or another object-oriented language.
- Solid SQL skills and experience working with relational databases (Snowflake or Databricks).
- Familiarity with REST APIs, SDKs, and command-line tools.
- Ability to work with structured data formats such as JSON, XML, and CSV.
- Strong troubleshooting, debugging, and root cause analysis skills in production environments.
- Familiarity with containerized and cloud-native technologies such as Docker, ECS, Fargate, Kubernetes, or microservices is a plus.
- Knowledge of NoSQL databases such as DynamoDB is a plus.
- 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.
- AWS certification is preferred, or a willingness to obtain one.
- Familiarity with CI/CD pipelines and DevOps practices is a plus.
- Financial services industry experience is a plus.
- Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- A collaborative mindset, intellectual curiosity, and a passion for continuous learning.
Skills
PythonAWSDockerKubernetesCI/CDLinuxSQLDynamoDBSnowflakeDatabricksGitJiraConfluenceRESTAgileDevOpsMicroservices
