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 for 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. Focus on production-grade data pipelines, Python services and APIs, event-driven distributed systems, observability, and reliable CI/CD and deployment practices.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Use AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) to accelerate coding, tests, documentation, and prototyping while setting review standards for AI-generated code.
•Design, build, and maintain data engineering workflows and platform services for the ETF platform and model delivery ecosystem.
•Develop Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
•Design and optimize SQL-based data processing and large-scale ETL workflows, including performance tuning.
•Implement distributed, event-driven architectures and cloud-native applications on AWS, operate CI/CD pipelines, ensure observability and data quality, and participate in production support/on-call as needed.

Pay and Benefits

Salary: USD 135,000 - 145,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHybrid Work401k MatchingHealth InsuranceParental LeaveEquity

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
•3+ years of hands-on software engineering or data engineering experience, preferably in financial services or asset management.
•3+ years of Python experience building data processing, APIs, or service-based architecture.
•3+ years of SQL experience (PostgreSQL, SQL Server, and/or Snowflake) including performance tuning and ETL workflows.
•Fluency with AI-assisted development and strong data engineering fundamentals (modeling, pipelines, validation, lineage, error handling).

Experience:3+ yearsFinancial servicesAsset management

Education:Bachelor's in Computer Science, Engineering, Data Science, Statistics

Skills:OwnershipCollaborationProblem-solving

Tech Stack:PythonAPIsMicroservicesSQLPostgreSQLSQL ServerSnowflakeETLKafkaAWSLambdaS3ECSEKSStep FunctionsAuroraCI/CDDevOpsGitHub CopilotClaude

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

Loading job details...

Preparing the role view and application actions.

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

•Use AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) to accelerate coding, tests, documentation, and prototyping while setting review standards for AI-generated code.
•Design, build, and maintain data engineering workflows and platform services for the ETF platform and model delivery ecosystem.
•Develop Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
•Design and optimize SQL-based data processing and large-scale ETL workflows, including performance tuning.
•Implement distributed, event-driven architectures and cloud-native applications on AWS, operate CI/CD pipelines, ensure observability and data quality, and participate in production support/on-call as needed.

Pay and Benefits

Salary: USD 135,000 - 145,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHybrid Work401k MatchingHealth InsuranceParental LeaveEquity

Key Requirements

•Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
•3+ years of hands-on software engineering or data engineering experience, preferably in financial services or asset management.
•3+ years of Python experience building data processing, APIs, or service-based architecture.
•3+ years of SQL experience (PostgreSQL, SQL Server, and/or Snowflake) including performance tuning and ETL workflows.
•Fluency with AI-assisted development and strong data engineering fundamentals (modeling, pipelines, validation, lineage, error handling).

Experience:3+ yearsFinancial servicesAsset management

Education:Bachelor's in Computer Science, Engineering, Data Science, Statistics

Skills:OwnershipCollaborationProblem-solving

Tech Stack:PythonAPIsMicroservicesSQLPostgreSQLSQL ServerSnowflakeETLKafkaAWSLambdaS3ECSEKSStep FunctionsAuroraCI/CDDevOpsGitHub CopilotClaude

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