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# Software Engineer

- **Company:** HARBOR WELLINGTON MANAGEMENT, LLC
- **Location:** Needham, MA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $80,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Continuous Integration, Relational Databases, DevOps, Elasticsearch, Github, Identity and Access Management, Python (Programming Language), Reliability Engineering, Software Tools, Software Engineering, SQL Databases, Datadog, Data Logging, GitHub Copilot, Grafana, Reliability of Systems, Git, Cloudformation, Containerization, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Terraform, Software Version Control, Docker, Jenkins, Microservices
- **Published:** September 3, 2026
- **Apply:** https://www.dice.com/job-detail/4b7222da-9e15-4815-8d2f-d3a696084337

## About the Role

* Bachelor's degree in Computer Science, Engineering, or a related field
 * 2+ years of experience in software engineering, DevOps, or related roles
 * Proficiency in at least one programming language (Python preferred)
 * Experience with cloud platforms (AWS preferred) and cloud-native concepts (compute, networking, IAM, logging/monitoring)
 * Proficiency with CI/CD tools (e.g., Jenkins, GitHub Actions) and source control (Git)
 * Exposure to infrastructure automation and Infrastructure as Code (e.g., Terraform, CloudFormation)
 * Understanding of monitoring, logging, and production support practices
 * Experience with tools such as Jenkins, Elasticsearch, and Grafana (or comparable CI/observability tooling)
 * Hands-on experience in SQL or other relational database technologies is desirable
 * Experience in Cloud Ops and infrastructure automation (e.g., automated provisioning, configuration, and operational runbooks)
 * Working knowledge of reliability practices such as monitoring/alerting, incident response, and root-cause analysis in a production environment

Preferred Experience

These are qualifications that would be helpful for the position but are not firm requirements.

 * Experience with containerization (Docker, ECS) and microservices architectures
 * Familiarity with observability tools (e.g., Grafana, Elasticsearch)
 * Exposure to Site Reliability Engineering (SRE) principles
 * AI-assisted development tools (e.g., GitHub Copilot, Claude Code or similar)

What We Value

 * Strong problem-solving and communication skills
 * Ownership mindset and attention to detail
 * Ability to work collaboratively in a fast-paced, team-oriented environment
 * Interest in continuous learning and improving systems at scale.

## Description

* Build and support components of Wellington's trading platform in partnership with trading and technology teams, leveraging AI-assisted development tools to enhance productivity and code quality
 * Design and maintain CI/CD pipelines to enable reliable and efficient software delivery, incorporating AI-assisted automation and validation
 * Develop infrastructure and automation in AWS using Infrastructure as Code, utilizing AI-assisted tooling to accelerate provisioning and configuration
 * Improve system reliability through monitoring, alerting, and operational best practices, applying AI-driven insights for observability and anomaly detection
 * Troubleshoot production issues, perform root-cause analysis, and contribute to continuous improvement, leveraging AI-assisted diagnostics and incident analysis
 * Partner with developers, QA, and architecture teams to ensure scalable, secure, and performant solutions, using AI tools to enhance collaboration and solution design
 * Contribute to engineering standards, including code quality, testing, and release practices, incorporating AI-assisted code reviews and test generation, We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.


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