Senior Engineer
Responsibilities of the Role • Implement the architectural and business functional vision for internal applications, platforms, and enterprise services • Design and implement processes, applications, and services for the Investment Technology domain based on business requirements • Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals • Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory • Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team • Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role • 8+ years of professional full‑stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object‑oriented programming using Java • Proven hands‑on experience building cloud‑based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda • Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server • Experience with industry‑standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain, Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular • Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor’s degree in Computer Science, MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office.
Invesco
Senior Engineer
Responsibilities of the Role • Implement the architectural and business functional vision for internal applications, platforms, and enterprise services • Design and implement processes, applications, and services for the Investment Technology domain based on business requirements • Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals • Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory • Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team • Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role • 8+ years of professional full‑stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object‑oriented programming using Java • Proven hands‑on experience building cloud‑based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda • Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server • Experience with industry‑standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain, Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular • Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor’s degree in Computer Science, MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office.