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.
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
As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You’ll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco’s enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI‑enabled software development.
You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success.
Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals
Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory
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
Proven hands‑on experience building cloud‑based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda
Experience with industry‑standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain, Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus)
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
Employee
Yes
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. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s 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.
Invesco's 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.