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Python Developer with AWS/DevOps

Luxoft
Bengaluru, IND
Full-time
Mid · 5–8 years experience
Onsite
Discovered Yesterday
• Software Engineer with 5-8 years of experience • Strong hands-on experience with Python for application development, automation, and data processing. • Strong programming experience in object-oriented languages such as Java, C#, or similar. • Good understanding of APIs, microservices, and integration patterns. • Strong SQL skills and experience working with relational databases. • Strong AWS knowledge, including experience with cloud-native services and serverless architectures. • Experience with DevSecOps practices, CI/CD pipelines, automated testing, monitoring, and production support. • Experience with source control, code reviews, and modern software engineering practices. • Understanding of ETL, data ingestion, and large-scale data processing solutions. • Exposure to observability, reliability engineering, and operational excellence practices. • Knowledge of infrastructure as code and cloud automation frameworks is desirable.

Full Job Posting

Responsibilities

  • Design, develop, test, and maintain applications and services supporting the REX platform. • Build scalable and resilient cloud-native solutions on AWS. • Develop and optimize APIs, data pipelines, and reporting solutions. • Participate in code reviews and contribute to engineering best practices. • Support production systems, troubleshoot incidents, and drive root-cause analysis. • Collaborate with Product Owners, Business Analysts, Architects, and Engineers to deliver business outcomes. • Drive continuous improvement through automation, monitoring, and operational excellence. • Ensure compliance with security, risk, and engineering standards.
  • Design, develop, test, and maintain applications and services supporting the REX platform.
  • Build scalable and resilient cloud-native solutions on AWS.
  • Develop and optimize APIs, data pipelines, and reporting solutions.
  • Participate in code reviews and contribute to engineering best practices.
  • Support production systems, troubleshoot incidents, and drive root-cause analysis.
  • Collaborate with Product Owners, Business Analysts, Architects, and Engineers to deliver business outcomes.
  • Drive continuous improvement through automation, monitoring, and operational excellence.
  • Ensure compliance with security, risk, and engineering standards.

Skills

  • Software Engineer with 5-8 years of experience • Strong hands-on experience with Python for application development, automation, and data processing. • Strong programming experience in object-oriented languages such as Java, C#, or similar. • Good understanding of APIs, microservices, and integration patterns. • Strong SQL skills and experience working with relational databases. • Strong AWS knowledge, including experience with cloud-native services and serverless architectures. • Experience with DevSecOps practices, CI/CD pipelines, automated testing, monitoring, and production support. • Experience with source control, code reviews, and modern software engineering practices. • Understanding of ETL, data ingestion, and large-scale data processing solutions. • Exposure to observability, reliability engineering, and operational excellence practices. • Knowledge of infrastructure as code and cloud automation frameworks is desirable.

Qualifications

  • Must have
  • Software Engineer with 5-8 years of experience
  • Strong hands-on experience with Python for application development, automation, and data processing.
  • Strong programming experience in object-oriented languages such as Java, C#, or similar.
  • Good understanding of APIs, microservices, and integration patterns.
  • Strong SQL skills and experience working with relational databases.
  • Strong AWS knowledge, including experience with cloud-native services and serverless architectures.
  • Experience with DevSecOps practices, CI/CD pipelines, automated testing, monitoring, and production support.
  • Experience with source control, code reviews, and modern software engineering practices.
  • Understanding of ETL, data ingestion, and large-scale data processing solutions.
  • Exposure to observability, reliability engineering, and operational excellence practices.
  • Knowledge of infrastructure as code and cloud automation frameworks is desirable.

Preferred Qualifications

  • Knowledge of Capital Markets and trading environments.
  • General understanding of Interest Rate, FX, and Commodity products.
  • Good understanding of market risk measures such as: o Sensitivities (Greeks) o Value at Risk (VaR) o Stress Testing and Macro Stress
  • Exposure to Market Risk Reporting and Regulatory Capital Reporting.
  • Familiarity with risk data platforms, risk aggregation, and reporting process.

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