Platform Engineer Position 

Who we are looking for 

The State Street Cyber Architecture & Engineering team is looking for a 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. As a 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 

As a Platform Engineer, you will: 

• 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 

• Automate and codify all the infrastructure provider interactions by using Infrastructure as Code to create immutable reproducible deployments and establish best practices to scale it in a maintainable way 

• Maintain live services by measuring and monitoring availability, latency, and overall system performance 

• Implement and manage Security event routing & SIEM platforms in a hybrid multi cloud environment using CI/CD processes by developing CloudFormation and Terraform templates 

• 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. 

• 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 

• Work alongside the global cybersecurity architecture & engineering leadership to develop and deliver capabilities to support Cyber Data Science initiatives both internally and in partnership with detection and response teams, and governance and risk management teams across our CISO organization. 

• Come up with solutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment. 

Qualifications 

Required Qualifications 

• Minimum 5+ years of production engineering and management (deployment, release, maintenance, migration) using DevOps toolset and methodologies 

• Minimum 5+ years in developing production code using at least one high-level programming language like Python, Golang, Ruby, JavaScript 

• Minimum 3+ 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 

• 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 

• Production experience with modern observability tools (Prometheus, Grafana, Datadog, etc.) 

• Understanding of core concepts of distributed systems design 

• Excellent communication skills