Software Engineer developing solutions utilizing generative AI and data engineering at Mechanical Orchard. Collaborating in small cross - functional teams on modernization of business applications.
About the role
- Software Engineer developing and maintaining core applications for PENN's Sportsbook Enablement team. Focusing on technology and mentoring within a collaborative agile environment.
Responsibilities
- As a key member of the Sportsbook Enablement team, you will:
- Work with a variety of technologies including Elixir/Phoenix, Rust, and Java
- Build, support, and maintain internal applications at the core of our platform
- Participate in the design, architecture, and delivery of new features in a collaborative agile/scrum environment
- Collaborate with other teams and various stakeholders to build integrations with other internal services
- Support teams developing features in our codebase by helping define the required work, assisting in specs, as well as identifying edge cases and performance improvements through code review
- Develop, scale, and optimize gRPC endpoints, GraphQL APIs, and SQL queries
- Setting up monitoring and alerting with DataDog, Bugsnag, PagerDuty
- Continually strive and be on the lookout for a more scalable system by identifying bottlenecks and areas of high risk
- Provide mentorship and be a resource for education to all our developers
- Other duties as required.
Requirements
- You possess a minimum of 3 years of experience in Software engineering
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
- Passionate about clean code architecture and software craftsmanship
- Experience with modern web framework and API development
- A strong grasp and experience with relational databases; including PostgreSQL
- Experience with Git and GitHub or similar
- Proficiency within an editor of your choice
- Experience with testing frameworks such as ExUnit, RSpec, Jest, pytest or equivalent
- Knowledge and familiarity with caching strategies and tools
- Always trying to understand problems from a fundamental perspective
- An interest in designing, building, and optimizing distributed systems
- NICE TO HAVE: Experience with Kubernetes, Kafka, gRPC, Federated GraphQL, and experience with functional programming
Benefits
- Competitive compensation package
- Parental Leave Top Up
- Fun, relaxed work environment
- Education and conference reimbursements.
- Opportunities for career progression and mentoring others
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