COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Senior DevOps Engineer
LOCATION: New York City (hybrid) or Fully Remote in the United States
SALARY: $140,000 - $180,000 (Based on NYC, will be adjusted for geo)
The Role:
As a Senior DevOps Engineer you will be a part of our internal platform team, working alongside other DevOps and Software Engineers to build and maintain the underlying AWS infrastructure and tools that power Canoe's suite of applications and services. A successful candidate for this role is someone who enjoys creating tools to empower the broader engineering team to write reliable, robust, scalable, and maintainable code. As a Senior DevOps Engineer you recognize that communicating with people is as important as writing code.
What You'll Do:
- Take ownership of Terraform repositories to expand existing AWS infrastructure and implement new modules.
- Design and build CI/CD pipeline enhancements using industry leading tools and development standards.
- Operationalize our observability tools like Datadog and our alerting process to enable engineers, product, and support staff to identify and triage issues quickly.
- Collaborate with the engineering team to encourage scalable and fault-tolerant engineering practices using the tools that you've built and the shift left mindset.
- Identify and implement cloud cost savings across all Canoe infrastructure through tagging resources, using tools like AWS Cost Explorer, Savings Plans, Reserved Instances.
What We're Looking For:
- 5+ years of experience in DevOps, Infrastructure Engineering or SRE.
- Experience with AWS services such as Route 53, ELB, API Gateway, VPC, EC2, S3, RDS, ECS Fargate.
- Experience with CI/CD pipelines, infrastructure automation, application and infrastructure security, and site reliability engineering.
- Experience with Git version control best practices, networking, Linux, and Bash scripting
- Hands-on experience with infrastructure as code (IaC) frameworks like Terraform.
- Proficient in one or more programming languages (PHP, Python, etc.).
- Understanding of the design process and SDLC as it pertains to automated testing.
- Familiarity with monitoring tools such as Datadog, CloudWatch etc.
- Strong project management and communication skills combined with strong attention to detail.
- Ability to easily adapt to changing priorities and anticipate team needs.
- Ability to lead mission critical long term initiatives across multiple cross-functional teams.
- Willingness to work with and improve code you did not originally write.
- Contribute to a collaborative environment by mentoring and learning from other engineers.
Preferred:
- Familiarity with Laravel, PHP, Python, Cypress, & Selenium.
- Familiarity with SQL and non-relational databases like DynamoDB.
- Familiarity with OOP, MVC, and other commonly used design patterns.
- Prior experience with supporting engineering teams in a fast-paced product centric environment is a plus.
What You'll Get:
- Medical, dental, vision benefits
- Flexible PTO
- 401(k)
- Flexible work from home policy
- Home office stipend + wifi reimbursement
- Employee Assistance Program
- Gym reimbursement
- Education assistance
- Parental Leave
- Commuter benefits
Our Values:
- Client First -> Listen, and deliver client-centric solutions
- Be An Owner -> Take initiative, improve situations, drive positive outcomes
- Excellence -> Always set the highest standard for yourself and others
- Win Together -> 1 + 1 = 3
Who We Are:
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
What We Do
Canoe offers first-of-its kind AI technology powering the future of alternative investments.
Canoe has reimagined the future of alternative investments with cloud-based, machine-learning technology for document collection, data extraction, and data science initiatives. We transform complex documents into actionable intelligence within seconds and empower allocators with tools to unlock new efficiencies for their business.
Since the beginning, we’ve maintained a focused, client-first approach to building and enhancing our technology and will continue to do so. By introducing automation to alternatives document collection and data management workflows, institutional investors, wealth managers, and general partners are seeing dramatic improvements in data accuracy and access, team efficiency, and client satisfaction.
Why Work With Us
At Canoe, we look for people who are open-minded, willing to roll up their sleeves, and constantly ask questions. We believe that diverse backgrounds and perspectives foster conversation and innovation, and collaborate to make each other better. Canoe's success is intertwined with each individual's success, which is why we focus on the team.
Gallery
Canoe Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Depending on role, employees may be hybrid in-office in NYC, London, or Jacksonville, or fully remote.