Mizuho

About the Company

This is not your typical financial institution. It’s our people who make us a cut above. Here, every person is respected because of their differences, not in spite of them. We pride ourselves on a culture of purpose, passion and compassion.

At Mizuho, we provide the stability of an international industry leader with the career trajectory of a growing business. Our steady, strategic growth gives our people at all levels rewarding degrees of responsibility and a richer work experience than a boutique firm or an established giant could offer alone.

Working for Mizuho opens doors not just to a rewarding career with excellent prospects, but to lasting friendships with colleagues from diverse cultures. It’s the local expertise of our employees that makes our global network so powerful. By collaborating with colleagues and clients who have your same ambition, you can amplify your sphere of influence and base of knowledge as part of one of the largest—and growing—banks in the world.

We’re all global citizens, and that’s why our company feels compelled to make an impact through more than just drawing up deals. We prove that it’s possible to do well and do good. We do right by our clients, our community and each other.

Listed Jobs

Company Name

Mizuho

Job Title

Cloud Data Engineer

Job Description

Job Title: Cloud Data Engineer Role Summary: Design, develop, and maintain scalable data pipelines for financial data on Databricks using PySpark, Python, and SQL. Orchestrate workflows with Airflow, integrate with Kafka for streaming, and implement CI/CD for reliable production deployments. Collaborate with data scientists, analysts, and business stakeholders to deliver high‑quality, governed data assets that support real‑time analytics and reporting. Expectations: * Deliver end‑to‑end data engineering solutions that meet financial regulatory and governance standards. * Optimize Spark jobs and SQL queries for performance and cost efficiency. * Ensure robust, automated data pipeline workflows via Airflow and CI/CD pipelines. Key Responsibilities: 1. Design, develop, and optimize scalable data pipelines on Databricks (PySpark) for large‑volume financial datasets. 2. Build ETL pipelines for structured and semi‑structured data from batch and streaming sources (Kafka, Azure Data Lake / AWS S3). 3. Implement Gold Layer transformations to produce curated, high‑quality datasets for BI and analytics. 4. Collaborate with cross‑functional teams (data science, analytics, business) to translate requirements into technical solutions. 5. Apply DevOps best practices: CI/CD, version control, automated testing, and monitoring for data engineering workflows. 6. Maintain data quality, governance, and compliance with financial regulations. 7. Automate scheduling and orchestration with Airflow DAGs, improving operational efficiency. 8. Continuously assess and improve Spark job and SQL query performance for timely and cost‑effective processing. Required Skills: * Databricks and PySpark (≥3 years) for big‑data processing in a financial services environment. * Advanced Python programming (≥5 years) and SQL expertise. * Hands‑on Airflow experience – design, implementation, and management of complex DAGs. * Cloud platform knowledge (Azure, AWS, or GCP) – data lake architectures, storage services, and related services. * Understanding of financial data domains and regulatory requirements (e.g., data sensitivity, compliance). * Strong problem‑solving, communication, and collaboration skills. Required Education & Certifications: * Bachelor’s degree in Computer Science, Information Technology, or related field. * Preferred: Agile/Scrum experience and familiarity with CI/CD tools (Jenkins, GitLab CI, Azure DevOps). * Certifications in cloud data platforms (e.g., Microsoft Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, Databricks Certified Professional Data Engineer) are advantageous. ---

New york, United states

Hybrid

Mid level

26-12-2025

Company Name

Mizuho

Job Title

Security Operations Analyst

Job Description

**Job Title:** Security Operations Analyst **Role Summary:** Lead member of the Security Operations team responsible for day‑to‑day monitoring, detection, and response to cybersecurity incidents. Own the end‑to‑end incident response (IR) lifecycle, drive automation, and collaborate with internal stakeholders and external vendors to remediate risks and improve the organization’s security posture. **Expectations:** - Deliver timely and effective response to security events in accordance with the incident response plan. - Maintain high‑fidelity alerting while reducing false positives through automation and tuning. - Communicate technical findings clearly to senior management and produce actionable documentation. - Continuously enhance processes, tools, and integrations to strengthen overall cyber hygiene. **Key Responsibilities:** - Operate and support security tools (SIEM, IDS/IPS, EDR, ServiceNow, Email Protection, etc.). - Manage relationships with SOC, MSSP, and other security vendors. - Design, develop, and maintain SOAR playbooks and detection models; create SPL/EDR alerts. - Conduct advanced incident response, forensic analysis, and malware analysis. - Lead incident coordination, documentation, and post‑incident reporting (IR playbooks, KRIs/KPIs). - Partner with security engineering for investigations and remediation. - Implement and evaluate new cybersecurity technologies; provide technical guidance for hardware, network, and application security. - Produce formal and informal reports on incidents, vulnerabilities, and compliance status. - Drive project‑based initiatives to mature detection and response capabilities across the enterprise. **Required Skills:** - 7–9+ years of cybersecurity experience, including ≥4 years in incident response/investigation. - Proficiency with SIEM/SOAR platforms, alert tuning, and playbook creation. - Strong scripting abilities (PowerShell, Python preferred). - Deep log analysis and correlation across large data sets. - Automation‑first mindset for process improvement. - Solid understanding of networking (TCP/IP, routing, switching, firewalls, IDS/IPS, packet capture). - Experience with proxies, web servers, cloud environments, and virtualization security. - Knowledge of Linux, Windows, and endpoint security fundamentals. - Excellent written and verbal communication; ability to convey complex technical concepts to non‑technical audiences. - Strong analytical, problem‑solving, and self‑learning capabilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Information Security, or related field (Master’s preferred). - Relevant certifications (e.g., CISSP, CISM, GCIH, GCFA, CEH, or equivalent) are strongly desired.

New york, United states

Hybrid

23-01-2026

Company Name

Mizuho

Job Title

Data Platform Engineer

Job Description

**Job Title:** Data Platform Engineer **Role Summary:** Design, deploy, operate and secure enterprise Apache Kafka (Red Hat AMQ Streams) clusters on Red Hat OpenShift. Enable reliable, scalable, and developer‑friendly event‑streaming services for application teams, and automate platform delivery through GitOps and CI/CD pipelines. **Expectations:** - Build and maintain high‑availability Kafka clusters that meet performance, reliability, and security objectives. - Operate production‑grade event‑streaming architecture using best‑practice patterns (event sourcing, CQRS, pub/sub, CDC, stream processing, request‑reply). - Govern security, compliance, and data‑management policies for topics, schemas, and message lifecycle. - Provide expert guidance, troubleshooting, and documentation to support developer teams. **Key Responsibilities:** - Design, deploy, and manage AMQ Streams (Kafka) on OpenShift, including brokers, Kraft, MirrorMaker 2, Kafka Connect, and Schema Registry. - Implement capacity planning, partitioning, retention policies, and performance tuning to meet SLAs. - Deploy and maintain observability stack (Prometheus, Grafana, Splunk) for monitoring, logging, and alerting. - Develop, maintain, and automate GitOps workflows with Argo CD for Kafka resource deployment; maintain IaC repositories. - Build and maintain GitLab CI/CD pipelines for automated builds, infrastructure updates, and environment promotion. - Define and document event‑driven integration patterns; advise application teams on pattern selection and compliance with enterprise architecture. - Implement security controls: RBAC, TLS, ACLs, SSO/OAuth, encryption at rest and in transit. - Govern topic creation, schema evolution, naming standards, and data contracts; enforce compliance and auditing requirements. - Create runbooks, knowledge‑base articles, and internal training materials. **Required Skills:** - Hands‑on experience with Kafka administration (producers, consumers, brokers, cluster topology). - Proficiency with Red Hat OpenShift/Kubernetes and container orchestration. - Scripting expertise in Python or Bash. - Familiarity with monitoring/observability tools (Prometheus, Grafana, Splunk). - Strong problem‑solving, communication, and collaboration skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related field. **Preferred (not mandatory) – for consideration:** - Red Hat OpenShift administration, service mesh (Istio, OpenShift Service Mesh), stream‑processing frameworks (Kafka Streams, ksqlDB, Flink). - Experience with Terraform/Ansible, GitOps, and regulated/enterprise environments.

New york, United states

Hybrid

08-03-2026