Senior Software Engineer, VP, Cloud, Data & Integration, Collateral Management

State Street

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Quincy, MA
Salary
$120,000–$202,500 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $161k
$107k most similar roles pay here $238k

This role pays less than 68% of similar roles. Most pay $149,500–$216,781 — the shaded band above. At the midpoint, this role pays about $161k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 308 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 214 roles with salary data.

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View all roles at State Street

At a glance

TL;DR · Senior Software Engineer, VP, Cloud, Data & Integration, Collateral Management

The Senior Software Engineer, VP – Cloud, Data & Integration, Collateral Management joins the team to lead the design, development, and modernization of enterprise applications and data platforms. This role involves migrating enterprise workloads to Microsoft Azure, developing cloud-native distributed systems, and architecting event-driven data pipelines. You will build full-stack microservices using Java, Spring Boot, SQL, and PL/SQL, while creating user interfaces with ReactJS, Material UI, TypeScript, HTML5, and CSS3. Key responsibilities include decomposing monolithic applications using domain-driven design, managing containerized deployments on Azure Kubernetes Service, and transitioning Spark/Scala/Hadoop workloads to PySpark on Azure Databricks. You will utilize Apache Kafka, Redis, Jenkins, and Harness to solve complex collateral management and financial investment management problems while ensuring scalable, secure, and resilient system integrations.

What you'll do

  • Lead the architectural design and migration of enterprise applications to Microsoft Azure, Databricks, and AKS.
  • Build full-stack microservices using Java, Spring Boot, and ReactJS to create scalable backend services and user interfaces.
  • Decompose monolithic applications into independently deployable microservices using domain-driven design and clear service boundaries.
  • Modernize legacy Spark/Scala/Hadoop workloads by transitioning data processing workflows to PySpark on Azure Databricks.
  • Architect and implement event-driven integration solutions and near-real-time data pipelines using Apache Kafka and Redis.
  • Develop and maintain enterprise CI/CD pipelines and automated deployment processes using Jenkins, Harness, and Azure DevOps.
  • Monitor production applications to troubleshoot performance bottlenecks and tune backend queries for optimal scalability.
  • Establish automated unit, integration, and performance testing to ensure microservices meet reliability and quality requirements.

What we're looking for

  • Bachelor's degree in Computer Science or a related field.
  • 5 years of professional experience as a Software Developer or other professional software development role.
  • 5 years of experience in the Collateral Management or Financial Investment Management business domains.
  • 5 years of experience with cloud-native application development, migration, and deployment using Microsoft Azure, AKS, and Azure Databricks.
  • 5 years of experience developing full-stack or microservices-based enterprise applications using Java, Spring Boot, and ReactJS.
  • 5 years of experience with event-driven messaging systems and Big Data technologies including Kafka, Spark, and Azure Databricks.
  • 5 years of experience configuring and managing CI/CD deployment pipelines using Jenkins, Harness, or Azure DevOps.
  • 5 years of experience in relational database tuning (e.g., Oracle) and managing batch-processing workloads (Autosys, CRON).

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