Sr. Eng., Eng Services

Invesco Ltd.Houston, TX
Hybrid

About The Position

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. Your Team Our mission is to create world-class, client-centric technology solutions that drive competitive advantage, grow our global business, and deliver an investment experience that helps people get more out of life. Our success is driven by our people, which is why we invest heavily in our talent, promoting continuous learning and development, offering opportunities to work with emerging technologies, and creating the space to discover. The Investments Technology team is responsible for building and integrating investments data and capabilities that support our strategic goals and drive competitive advantage in the marketplace. Your Role 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.

Requirements

  • At least 8+ years of professional full-stuck software development experience.
  • Expert understanding of the software development lifecycle (SDLC).
  • Deep expertise in object-oriented programming using Java.
  • Proven hands-on experience in building cloud-based software solutions on AWS.
  • Experience with cloud-based database platforms (Snowflake, Postgres, Athena, SQL Server).
  • Knowledge and hand-on experience working with cloud services (EKS, S3, Airflow, IAM, Lambda).
  • Strong proficiency working in Agile development teams.
  • Strong proficiency developing with CI/CD pipelines.
  • A Bachelor’s Degree in Computer Science, Management Information Systems, Computer Engineering or related field of study or equivalent years of direct work experience.

Nice To Haves

  • Experience with industry-standard AI frameworks and tooling, including NLP models, vectorization/embedding techniques, LangChain, Amazon Bedrock, and OpenAI APIs, to build scalable intelligent applications is a plus.
  • Advanced UI development experience, using JS frameworks, such as React or Angular.
  • Experience with Powershell, Python, Kubectl is a plus.
  • Knowledge of orchestration and scheduling services such as UAC, Airflow, Autosys is a plus.
  • Exposure to testing and automation tools (JUnit, Selenium, JMeter).

Responsibilities

  • Implementing the architectural and business functional vision for internal applications, platform, and enterprise services.
  • Design and implement of processes, applications, and services for Investment Technology business domain, according to business requirements.
  • Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals.
  • Building AWS cloud-based solutions, utilizing cloud services according to best practices.
  • Applying DevSecOps practices and CI/CD maturity using tools such as Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory.
  • Implement systems integrations, applying integration patterns and using APIs and data integration tools.
  • Leveraging industry‑leading AI capabilities to streamline software development while fostering an AI‑first approach across the team.
  • Work in Agile team and be fluent with project and repository management tools such as Atlassian suite (Jira, Confluence, Bitbucket)
  • Support automation and self-service engineering across the organization.
  • Mentor team's engineers and lead by example in applying best practices and execution excellence.
  • Promote a collaborative and engaging culture across global teams.

Benefits

  • 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
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