Software Engineer

Arkatechture; Northern (KY); Hybrid; USD 90,000 - 100,000; Full time

Benefits offered by this job

Flexible remote policy

Portland, Maine office access

4‑day workweek after 3 years

Generous paid time off and holidays

Medical, disability, life insurance

401(k) with company match

Training & certification reimbursement

Milestone recognition programs

Job summary

Arkatechture is seeking a Software Engineer on our Arkalytics Support Services team to support data warehousing and analytics solutions. You will troubleshoot complex production issues, develop enhancements, and improve platform reliability in a cloud-centric environment.

You’ll collaborate with engineers, customers, and product experts to deliver scalable, well‑tested software while advancing monitoring, automation, and tooling across AWS infra.

Qualifications

• 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 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, BI, or analytics platforms.
• Familiarity with Git, Jira, Confluence, and Slack.
• Experience in Agile development environments.
• AWS certification preferred, or 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; collaborative mindset and curiosity.

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

AWS

Python

SQL

REST APIs

JSON/XML/CSV

Linux

CI/CD

Git/Jira/Confluence

Agile

Kubernetes/Docker

NoSQL DynamoDB

Data Warehousing/BI

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Databricks

AWS

Docker

ECS/Fargate

Kubernetes

Job 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.

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.

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

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.

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.