Senior Software Engineer, Bet Engine

New

JobgetherSportsbook wagering

Based in United StatesFull-TimeSenior

Salary$145,000–$193,000 USD annually

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Job Details

Experience: At least 5 years of professional software engineering experience.
Required Skills: GraphQLPostgreSQLSQLGitKubernetesMySQLApache KafkagRPCDatadogDistributed Systems

At least 5 years of professional software engineering experience.
At least 2 years designing and evolving GraphQL schemas for products serving multiple clients, such as iOS, Android, and web.
Strong foundation in data structures, algorithms, distributed systems, and software design.
Experience with production systems at scale, including load testing, tracing, and performance analysis.
Experience with production on-call rotations and end-to-end ownership of software release cycles.
Experience with modern web frameworks and API development, such as Phoenix, Ruby on Rails, FastAPI, Laravel, or Node.js.
Experience building multi-client or white-label platforms, including geo-based routing and client-specific configuration.
Strong knowledge of relational databases, particularly PostgreSQL and MySQL.
Experience with Kubernetes and operating services in containerized environments.
Comfort using terminal-based tools, Git, GitHub or similar platforms, and modern development environments.
Experience with testing frameworks such as ExUnit, RSpec, Jest, or pytest, and background job processing technologies such as Oban, Exq, Sidekiq, Celery, or Beanstalk.
Experience with asynchronous event-processing infrastructure such as Apache Kafka, RabbitMQ, AWS SQS/SNS, or Google Cloud Pub/Sub.

Design, scale, and performance-tune GraphQL APIs, low-latency gRPC services, and SQL queries.
Develop solution proposals for complex technical problems and present designs to leadership and partner teams.
Architect and deliver features end-to-end in an Agile/Scrum environment.
Identify and improve production bottlenecks, performance risks, reliability issues, and scalability constraints.
Establish and refine monitoring and alerting with Datadog.
Investigate and remediate production performance regressions involving CPU, I/O, memory, and latency.
Mentor engineers through technical specifications, pairing, code reviews, and collaborative problem-solving.
Work with stakeholders across business domains to deliver products and operational improvements.
Integrate internal, third-party, legacy, and modern systems through data migrations, data translation, and supporting infrastructure.

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