Senior Engineer, Invest Tech

Senior Engineer, Invest Tech Skip to main content

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Engineer, Invest Tech page is loaded## Senior Engineer, Invest Tech Apply locations:
Downers Grove, Illinois time type:
Full time posted on:
Posted Todayjob requisition :
R-14168#
** About Invesco
** As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.#

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** What’s in it for you?
** Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
* Flexible paid time off
* Hybrid work schedule
* 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
* Health & wellbeing benefits
* Parental Leave benefits
* Employee stock purchase plan# #
** Job Description**#
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* About the Role:

** We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives.

This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions that support both technology-owned platforms and business-driven workflows (e.g., co-developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards.

You will work in a fast-paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production-grade solutions and reducing operational risk. The role requires a hands-on mindset, strong ownership, and the ability to collaborate across global team.#
** Responsibilities of the Role:
*** AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., Git Hub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code.
* Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem.
* Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems.
* Build robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
* Design and optimize SQL-based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows.
* Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.
* Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).
* Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.
* Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks.
* Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.
* Continuously improve the platform through…