Senior Engineer, Invest Tech

As one of the worlds 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 youre looking for challenging work intelligent colleagues and exposure across a global footprint come explore your potential at Invesco.

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.

• AIaccelerated engineering: institutionalize daily use of AI tools (e.g. GitHub Copilot Claude ChatGPT AWS Bedrock) for coding tests documentation and prototyping; set review standards for AIgenerated 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 modern engineering practices including testing performance optimization and AI assisted development.

• Participate in production support and on-call rotation as needed.

• Bachelors 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.

• AIassisted development fluency: daily use of AI tools for coding test generation refactoring documentation and design explorationplus the ability to evaluate/correct AIgenerated 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 asynchronous processing).

• 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.

Formal Education:

• Bachelors in Statistics Computer Science or other similar advanced degrees from a top tier educational institution preferred

• CFA CPA CIPM CAIA and/or FRM preferred but not required.

The salary range for this position in Boston MA is $135000- $145000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills experience and location

Pursuant to Invescos Workplace Policy employees are expected to comply with the firms most current workplace model which as of October 1 2025 includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships collaborate more easily and support each others growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invescos culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race creed color religion sex gender gender identity sexual orientation marital status national origin citizenship status disability age or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.