Data Platform Engineer Jobs in Boston, MA (NOW HIRING)

PlatformEngineer 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 usingIaCtools, 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 willbe responsible for

As aPlatformEngineer,you will:

• Develop software solutionsforcomplexapplication and cloudinfrastructure managementand eliminateClickOps

• Build a robust modern platformwith a fusion of purpose-made code and industry-standard tools, increasing team effectiveness andeliminatingunnecessarytoil.

• Develop softwaretools for deployment, monitoring,alertingand operationsautomation

• Automate and codify all the infrastructure provider interactionsby usingInfrastructure as Codeto create immutable reproducible deployments andestablishbest practices to scale it in a maintainable way

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

• Implement and manageSecurity event routing & SIEMplatformsin a hybrid multi cloud environment using CI/CD processes by developing CloudFormation and Terraform templates

• Scale systems sustainably through mechanisms likeautomation andevolve systems by pushing for changes that improve reliability and velocity.

• Practice sustainable incidentresponseand 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 withsolutions for scaling data systems for various business needs and collaborate in a dynamic and consultative environment.

Qualifications

RequiredQualifications

• Minimum5+ years ofproductionengineeringand management(deployment, release, maintenance, migration)using DevOps toolset and methodologies

• Minimum5+ yearsindeveloping production code usingat least one high-level programming language like Python, Golang, Ruby, JavaScript

• Minimum3+ years in medium to large-scale production infrastructure management experience with at least one of the major cloud providers - AWS, GCP, Azure

• Experiencebuilding andmanaging cybersecurity platforms such as Splunk, Sentinel, ELK,Anvilogic, Crogl, Databricks,etc.

• Strongexpertisein operation and workflow automation using tools like Ansible, Chef, Puppet

• Production experience in the design and implementation of InfrastructureasCodeusing Terraform, CloudFormation,Pulumi,AWS CDKor similar tools

• Deep understanding of CI/CD tools(Jenkins,Harness, Spinnaker, Argo CD, etc.) andmethodology, production experience in designing and implementing CI/CD pipelineswith a focus on helping teams releasefrequentlyto production whilemaintainingdeployment reliability

• Understanding of core cloud security principles, experience in securing cloud platforms

• Ability to troubleshootand measure the performance ofcomplex cloud environments

• Strong understanding ofLinuxfundamentals(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