обновлено 5 дней назад
Senior Engineer, Investment Technology (AWS/AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer, Investment Technology (AWS/AI): Building and supporting internal investment technology platforms and enterprise services with an accent on AWS cloud solutions, DevSecOps, integrations, and scalable AI-enabled software development. Focus on designing secure full-stack applications, maturing CI/CD pipelines, integrating enterprise systems, and mentoring engineers.
Location: Houston, Texas, United States; hybrid schedule with at least four full days per week in an office
Company
is a global investment management firm providing investment strategies and vehicles to clients worldwide.
What you will do
- Build and support internal applications, technology platforms, and enterprise services for the Investment Technology domain.
- Translate architectural and business requirements into scalable, secure, developer-friendly solutions.
- Design AWS cloud-based solutions and system integrations using APIs, established integration patterns, and data integration tools.
- Apply DevSecOps practices and mature CI/CD pipelines with tools including Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory.
- Use AI capabilities to streamline software development and promote an AI-first engineering approach.
- Collaborate with architecture, product, infrastructure, and security teams; mentor engineers and support automation and self-service engineering.
Requirements
- 8+ years of professional full-stack software development experience and expert knowledge of the software development lifecycle.
- Deep expertise in object-oriented programming with Java.
- Hands-on AWS experience, including EKS, S3, Airflow, IAM, and Lambda.
- Experience with Snowflake, Postgres, Athena, and SQL Server, plus advanced UI development with React or Angular.
- Strong Agile and CI/CD experience, with exposure to JUnit, Selenium, JMeter, UAC, Airflow, and Autosys.
- Bachelor’s degree in Computer Science, MIS, Computer Engineering, or a related field, or equivalent experience.
Nice to have
- Experience with NLP models, vectorization and embeddings, LangChain, Amazon Bedrock, or OpenAI APIs.
- Experience with PowerShell, Python, and Kubectl.
Culture & Benefits
- Hybrid workplace model requiring at least four days per week in the office.
- Flexible paid time off, health and wellbeing benefits, and parental leave.
- 401(k) matching of 100% up to the first 6%, with a discretionary supplemental contribution.
- Employee stock purchase plan and a collaborative, global engineering culture.
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