Invesco

3 weeks ago

Senior Engineer, Invest Tech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Design, build, and support investment technology capabilities for the Invesco ETF platform, including applications and workflows powering portfolio construction, trading, analytics, and operations. Partner with portfolio managers, quantitative researchers, and business teams to deliver scalable, high-performance solutions while modernizing platform architectures and improving data pipelines, reliability, and engineering standards. Work in a distributed, production-focused environment with strong emphasis on resilient services and automation.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Institutionalize AI-accelerated engineering using tools like GitHub Copilot, Claude, ChatGPT, and AWS Bedrock, and establish 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 platform components for data ingestion, transformation, validation, and routing across internal and external systems.
•Build and optimize Python-based services, APIs, and microservices for portfolio analytics, optimization workflows, and data pipelines.
•Design and operate distributed, event-driven architectures (e.g., Kafka) and maintain AWS cloud-native applications; run CI/CD and provide production support/on-call as needed.

Pay and Benefits

Salary: USD 135,000 - 145,000 annually

Equity and Bonus:Equity

Perks:Paid Leave401kHealth InsuranceParental LeaveEquity

Key Requirements

•3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
•3+ years of Python experience building data processing, APIs, and/or service-based architecture.
•3+ years of SQL experience with PostgreSQL, SQL Server, and/or Snowflake, including performance tuning and ETL workflows.
•Daily AI-assisted development fluency, with 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:Financial servicesAsset management

Education:Bachelor's

Skills:OwnershipHands-on mindsetCollaborationProblem-solvingFast-paced execution

Tech Stack:PythonSQLPostgreSQLSQL ServerSnowflakeAWS BedrockGitHub CopilotClaudeChatGPTKafkaAWS LambdaS3ECSEKSStep FunctionsAuroraMicroservicesAPIsCI/CDDevOps

Company Brief

Invesco

Global investment management firm offering mutual funds, ETFs, retirement solutions, and institutional asset management services. Serves individual investors, financial advisors, and institutions across public and alternative markets.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Atlanta, United States

Founded: 1935

Website LinkedIn

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Invesco

3 weeks ago

Senior Engineer, Invest Tech

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Institutionalize AI-accelerated engineering using tools like GitHub Copilot, Claude, ChatGPT, and AWS Bedrock, and establish 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 platform components for data ingestion, transformation, validation, and routing across internal and external systems.
•Build and optimize Python-based services, APIs, and microservices for portfolio analytics, optimization workflows, and data pipelines.
•Design and operate distributed, event-driven architectures (e.g., Kafka) and maintain AWS cloud-native applications; run CI/CD and provide production support/on-call as needed.

Pay and Benefits

Salary: USD 135,000 - 145,000 annually

Equity and Bonus:Equity

Perks:Paid Leave401kHealth InsuranceParental LeaveEquity

Key Requirements

•3+ years of hands-on experience in software engineering or data engineering (financial services or asset management experience preferred).
•3+ years of Python experience building data processing, APIs, and/or service-based architecture.
•3+ years of SQL experience with PostgreSQL, SQL Server, and/or Snowflake, including performance tuning and ETL workflows.
•Daily AI-assisted development fluency, with 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:Financial servicesAsset management

Education:Bachelor's

Skills:OwnershipHands-on mindsetCollaborationProblem-solvingFast-paced execution

Tech Stack:PythonSQLPostgreSQLSQL ServerSnowflakeAWS BedrockGitHub CopilotClaudeChatGPTKafkaAWS LambdaS3ECSEKSStep FunctionsAuroraMicroservicesAPIsCI/CDDevOps

Company Brief

Invesco

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Atlanta, United States

Founded: 1935

Website LinkedIn