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StradIT

Delivering AI-powered engineering solutions for finance

OCP Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeJersey City, NJ, USANo salary listedHybrid

About the Job

Requirements

  • At least 6 years of related experience with Kubernetes and other container platforms.
  • At least 5 years of experience with Red Hat OpenShift Container Platform.
  • Knowledge of Broadridge Appia, open-source QuickFIX, and SWIFT Alliance Access products.
  • A bachelor's degree, preferably in Computer Science or Engineering.
  • Knowledge of creating Docker files, building images, running containers, and managing Docker volumes and registries.
  • Good knowledge of the FIX protocol and FIX order flow.
  • Administrator-level knowledge of Linux and networking, and command of a scripting language such as Shell, Perl, or Python.
  • At least 4 years of experience as a platform or DevOps engineer working with Docker, Kubernetes, Linux, Jenkins, continuous integration and continuous delivery, Amazon Web Services, and VMware.
  • Proficiency in code compilation, packaging, and deployment, and experience with code analysis and coverage tools such as SonarQube.
  • Knowledge and experience implementing and maintaining continuous integration and continuous delivery pipelines using Bitbucket, GitHub, and Jenkins, infrastructure automation, and cloud environments.
  • Knowledge of branching strategies, merging, and access management in version-control tools such as Git.
  • Training in Amazon Web Services, VMware, Red Hat OpenShift Container Platform, Docker, Kubernetes, Ansible, Terraform, Linux, Bash scripting, YAML, Bitbucket, GitHub, Jenkins, Prometheus, Grafana, and Jira.
  • Knowledge of Jenkins, Docker, Kubernetes, OpenShift Cluster, Amazon Web Services, Ansible, and Terraform.
  • Hands-on experience with Jenkins for continuous integration and end-to-end build and deployment automation.
  • Knowledge of provisioning Amazon Web Services services including EC2, S3, ELB, RDS, IAM, Route 53, VPC, Auto Scaling, CloudWatch, Lambda, security groups, and SNS.
  • Knowledge and hands-on experience provisioning VMware virtual machines and disk storage, and knowledge of TCP/IP-related services such as DNS.
  • Experience handling critical and major production incidents.
  • Hands-on experience supporting a real-time trading environment.
  • Knowledge of solutions supporting applications that use high-performance messaging and middleware.
  • Understanding of FIX client and exchange connectivity support.
  • Experience developing automated solutions in a distributed computing environment.
  • Ability to diagnose and fix problems with FIX and SWIFT middleware products.
  • Experience in cloud environments such as Amazon Web Services.
  • Ability to multitask.
  • Excellent analytical, verbal, and written communication skills.

Responsibilities

  • Drive implementation of the container platform ecosystem used for QuickFIX in the cloud.
  • Independently install, customize, and integrate commercial software packages using continuous integration and continuous delivery tools.
  • Develop and fix defects, implement user stories using Jira, perform root-cause analysis, and provide project installation support and maintenance for Distributed Systems Engineering platforms hosted on cloud platforms.
  • Assist with development of the Distributed Systems Engineering and Integration team's container strategy.
  • Manage cluster capacity and provision underlying hosts through automation.
  • Provide Level 2 and Level 3 engineering support to platforms and other engineers.
  • Work with experienced team members to conduct root-cause analysis, review new and existing code, and perform unit testing.
  • Create system documentation and playbooks.
  • Work with experienced team members to develop accurate work estimates for work packages.
  • Install, configure, maintain, and debug FIX (Appia, TradeScope, QuickFIX) and SWIFT Alliance products on Linux, and maintain production-environment stability.
  • Provide advanced production support and assist development staff in troubleshooting application issues involving FIX and Linux; perform root-cause analysis.
  • Provide immediate support for production Appia, QuickFIX, and SWIFT Alliance implementations.
  • Participate in intermittent weekend support rotations.
  • Support weekend implementations and disaster-recovery tests.
  • Manage patching, upgrades, and other infrastructure operations on FIX and SWIFT servers.
  • Create and maintain detailed system documentation and diagrams as job aids and knowledge-transfer materials, and provide cross-training to team members.
  • Analyze system performance and capacity statistics and provide recommendations.
  • Maintain, author, and debug administrative utilities using shell programs such as Bash and Perl.
  • Follow DTCC incident, change, and problem-management policies and procedures.
  • Work with development staff and teammates to architect implementation and support solutions.
  • Use Jira, Bitbucket, and Ansible for project and software management.
  • Lead, provide, and implement automated solutions.
  • Recommend process and technology changes.
  • Integrate risk and control processes into day-to-day responsibilities to monitor and mitigate risk, and escalate appropriately.
  • Complete complex projects and installations within aggressive time frames and budget parameters.

About the Company

StradIT

Delivering AI-powered engineering solutions for finance

StradIT provides applied artificial intelligence and engineering services for the global finance industry, including capital markets and asset management. It operates Centers of Excellence (Applied AI, Data Analytics, Cybersecurity, Cloud & Infrastructure, Automated AI Testing, Digital Assets & Blockchain) to deliver concrete capabilities such as AI-driven threat intelligence, blockchain-native settlement infrastructure, data integration, and predictive analytics. Its Global Capability Center (GCC) lets clients build dedicated technology teams or innovation hubs while StradIT handles setup, operations, and compliance, supported by the Sun Model for continuous AI delivery. The company focuses on creating regulated, auditable systems and production-grade AI to help financial institutions gain a sustainable competitive advantage by improving decision-making, security, and efficiency.

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