Senior platform engineer, vice president

State Street; Toronto; On-site; CAD 140,000 - 180,000; Full time

Job summary

State Street is hiring a Senior Platform Engineer to drive the architecture and delivery of cloud and hybrid data platforms. You will deploy and maintain infrastructure using IaC, integrate new tools, and collaborate with engineers, architects, and managers to enhance cloud efforts.

You will mentor engineers, automate toil, and advance platforms with scalable, secure solutions across multi-region environments. Hybrid work setup with a focus on reliability and velocity.

Qualifications

• Minimum 8+ years of production engineering and management experience.
• Minimum 8+ years in developing production code using Python, Golang, Ruby or JavaScript.
• Minimum 5+ years in large-scale production infrastructure with AWS, GCP or Azure.
• Experience building cybersecurity platforms such as Splunk, Sentinel, ELK or Databricks.
• Strong expertise in infrastructure as code using Terraform, CloudFormation, Pulumi or AWS CDK.
• Deep understanding of CI/CD pipelines and tooling, with hands-on setup and maintenance.

Responsibilities

• Architect cloud and hybrid infrastructure across providers with multi-region HA and DR.
• Automate toil and participate in Site Reliability Engineering practices.
• Mentor Platform Engineers and share knowledge through sessions.
• Scale systems via automation and improve reliability and velocity.
• Develop software tools for deployment, monitoring, alerting and operations automation.
• Own platform implementation end-to-end with user-focused perspective.
• Maintain live services by monitoring availability, latency and performance.
• Design petabyte-scale data analytics tooling for high availability and privacy.

Skills

Python

Golang

Ruby

JavaScript

Linux

CI/CD

Observability

Tools

Terraform

CloudFormation

Pulumi

AWS CDK

Ansible

Chef

Puppet

Jenkins

Spinnaker

Argo CD

Prometheus

Grafana

Datadog

Splunk

Job description

Senior Platform Engineer Position

The State Street Cyber Architecture & Engineering team is looking for a Senior Platform Engineer. The Cyber Data & Analytics team delivers models, insights, and tooling to help Cybersecurity teams make faster, more informed decisions as we work to secure State Street’s digital footprint.

Why this role is important to us

As a Senior Platform Engineer, you will be responsible for driving the architecture and implementation of complex cloud & hybrid data solutions for all the customer teams at State Street in the form of an internal platform, deploying and maintaining our vast infrastructure using IaC tools, integrating new tools and technologies to boost efficiency and meet new challenges, and working with other engineers, architects, and managers to continue innovating in all the cloud efforts of the team.

What you will be responsible for

• Architect cloud & hybrid infrastructure across various cloud providers and on-premises locations with multi-region HA & DR capabilities
• Participate in Site Reliability Engineering practices, continuously remove toil by automating and designing it out
• Mentor Platform Engineers on the team and participate in knowledge sharing sessions
• Scale systems sustainably through mechanisms like automation and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.
• Drive the technical vision for platforms owned by the Platform Engineering team, continuously review the technologies used to maintain the optimal tech stack
• Develop software solutions for complex application and cloud infrastructure management and eliminate ClickOps
• Build a robust modern platform with a fusion of purpose-made code and industry-standard tools, increasing team effectiveness and eliminating unnecessary toil.
• Develop software tools for deployment, monitoring, alerting and operations automation
• Own the platform implementation and functionality end-to-end with clear understanding from the end user standpoint
• Maintain live services by measuring and monitoring availability, latency, and overall system performance
• Design and build petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics tooling
• Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment.

Education & Preferred Qualifications

• Minimum 8+ years of production engineering and management (deployment, release, maintenance, migration) using DevOps toolset and methodologies
• Minimum 8+ years in developing production code using at least one high-level programming language like Python, Golang, Ruby, JavaScript
• Minimum 5+ years in medium to large-scale production infrastructure management experience with at least one of the major cloud providers - AWS, GCP, Azure
• Experience building and managing cybersecurity platforms such as Splunk, Sentinel, ELK, Anvilogic, Crogl, Databricks, etc.
• Strong expertise in operation and workflow automation using tools like Ansible, Chef, Puppet
• Production experience in the design and implementation of Infrastructure as Code using Terraform, CloudFormation, Pulumi, AWS CDK or similar tools
• Deep understanding of CI/CD tools (Jenkins, Harness, Spinnaker, Argo CD, etc.) and methodology, production experience in designing and implementing CI/CD pipelines with a focus on helping teams release frequently to production while maintaining deployment reliability
• Medium to large-scale production infrastructure management experience with at least one of the major cloud providers - AWS, GCP, Azure
• Understanding of core cloud security principles, experience in securing cloud platforms
• Ability to troubleshoot and measure the performance of complex cloud environments
• Strong understanding of Linux fundamentals (networking, filesystems, kernel, isolation)
• Ability to transform business requirements into production-ready software components
• Strong end-to-end ownership, autonomy, and a good sense of urgency to enable proper self-prioritization
• Proven ability to self-sufficiently lead projects and cross-team engagements
• Production experience with modern observability tools (Prometheus, Grafana, Datadog, etc.)
• Understanding of core concepts of distributed systems design
• Excellent communication skills

Work Requirements

This is a hybrid position with 3 days of the week spent at the office, with an 8 AM to 5 PM work schedule.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.