Ai Reliability Engineer Jobs in Woonsocket, RI (NOW HIRING)

About Us
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
About the Role
TITLE: Software Engineer, Trading Technology
TEAM: Investment Implementation & Trading Technology
LOCATION: Boston or Needham, MA
At Wellington Management, technology underpins how we invest and operate in global markets. Our Trading Technology team builds and supports the platform that enables investment and trading decisions to be executed reliably and at scale. You'll work on a platform that's proven and mission-critical, the kind of environment where thoughtful engineering has immediate, visible impact.
JOB OVERVIEW
We are seeking a Software Engineer with a DevOps focus to join our Trading Platform Engineering team within Investment Implementation & Trading (IIT) Technology. In this position, you will help build, automate, and operate our trading platform. This role combines software engineering with cloud infrastructure, CI/CD, and production reliability. You'll work closely with technology team members and business partners to deliver resilient systems and continuously improve how we build and run software.
RESPONSIBILITIES

• 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

QUALIFICATIONS

• 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.

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:
USD 80,000 - 150,000
This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
Base salary is only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
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.