Senior Investment Tech Engineer — AI‑Driven Platform

invesco; Downers Grove (IL); Hybrid; USD 135,000 - 145,000; Full time

Benefits offered by this job

Hybrid work schedule

401(K) matching

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Flexible paid time off

Job summary

Invesco seeks a Senior Engineer, Investment Technology to design, build, and support capabilities for the ETF platform across equities, fixed income, and alternatives. You will partner with portfolio managers and researchers to deliver scalable solutions that modernize architectures and improve data pipelines.

The role emphasizes production-grade systems, distributed data processing, and collaboration across a global team with a hands-on mindset and ownership.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
• 3+ years of Python experience, including data processing, APIs, or service-based architecture.
• 3+ years of SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.
• AI-assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI-generated code for security, performance, and maintainability.
• Strong understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).
• Experience with cloud-native development (AWS) and containerized environments.
• Familiarity with distributed systems and event-driven architecture (e.g., Kafka).
• Experience with CI/CD, DevOps practices, and automated testing.
• Exposure to portfolio analytics, risk models, or investment workflows preferred.
• Strong problem-solving skills and the ability to operate in a fast-paced, high-impact environment.

Responsibilities

• AI-accelerated engineering: institutionalize daily use of AI tools for coding, tests, documentation, and prototyping; set AI code review standards.
• Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem.
• Develop and extend platform components for data ingestion, transformation, validation, and routing across systems.
• Build robust Python-based services, APIs, and microservices for portfolio analytics and data pipelines.
• Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including large-scale ETL workflows.
• Implement and support distributed, event-driven architectures (Kafka, asynchronous workflows) for scalable platform execution.
• Develop and maintain cloud-native applications on AWS (Lambda, S3, ECS/EKS, Step Functions, Aurora).
• Design and operate CI/CD pipelines and deployment processes for reliable releases.
• Ensure data quality, auditability, and observability through logging, monitoring, and lineage tracking.
• Collaborate with investment teams to translate requirements into scalable technical solutions.
• Continuously improve the platform with modern engineering practices including testing and AI-assisted development.
• Participate in production support and on-call rotation as needed.

Skills

Python

SQL

Data engineering

Cloud-native development

CI/CD

Distributed systems

Problem solving

Team collaboration

Education

Bachelor’s in Statistics/CS/Engineering or related field

CFA/CPA/CIPM/CAIA/FRM preferred

Tools

AWS

Kafka

PostgreSQL

SQL Server

Job description

Invesco seeks a Senior Engineer, Investment Technology to design, build, and support capabilities for the ETF platform across equities, fixed income, and alternatives. You will partner with portfolio managers and researchers to deliver scalable solutions that modernize architectures and improve data pipelines.

The role emphasizes production-grade systems, distributed data processing, and collaboration across a global team with a hands-on mindset and ownership.