Senior Software Engineer - Java/Cloud/Saas (Portfolio Companies)

Senior Software Engineer - Java/Cloud/SAAS (Portfolio Companies) Full-time
IFS Referral Bonus Code: SH
Job Location: Hybrid
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service.
We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS.
What you'll do:
Focus on crafting production-level code that is clean, modular, and thoroughly documented, while strictly adhering to coding standards and best practices.
Engage in collaborative efforts to define and document requirements, ensuring clarity, task breakdown, and accurate time estimates.
Own sprint refinement and planning sessions, guiding development strategies and promoting an efficient software development life cycle (SDLC).
Ensure the highest quality of software through meticulous testing and debugging, aligning with our standards for completion.
Develop and maintain models for data, software, and network architecture that meet organizational standards and promote effective information exchange.
Lead in identifying and analyzing the root causes of issues during testing phases and incident management.
Actively participate in code reviews to elevate code quality and maintain consistency across projects.
Oversee the CI/CD pipeline management for swift and secure code deployment.
Regularly monitor the performance, security, and user experience of all applications under your team's purview.
What you'll bring:
Degree in Computer Science or equivalent professional experience.
4 - 5 years of data engineering and cloud experience.
4 - 5 years experience as a software developer using OOP concepts and languages like Java or Python.
Experience with cloud-based platforms and building data engineering solutions (AWS, Azure, or GCP).
Hands-on experience with building data lakes and end-to-end ETL/ELT pipelines.
Experience with data warehousing technologies (BigQuery, Redshift, Snowflake).
Experience with database performance optimization and tuning.
Familiarity with Continuous Integration/Continuous Deployment (CI/CD) Pipelines (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline).
Experience with Containerization and Orchestration (e.g., Docker, Kubernetes).
Proficiency with SQL and NoSQL Databases (e.g., MySQL, PostgreSQL, MongoDB).
Excellent communication skills: you understand user needs and have the ability to translate them into actionable pieces of work.

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