'We're hiring for Software Developer'
Location Atlanta, GA and Denver, CO USA.
Working Mode Hybrid
Opportunity: Permanent
How you'll make an impact:
We are seeking an engineer who thrives in an agile environment, can successfully partner with small, cross-functional teams, and who wants to be empowered to make a difference. Software Development Engineersare tasked with optimizing large data sets and implementing data pipeline architecture. Build data platforms and data stores to support AI and ML solutions. You will actively be collaborating with developers and architects.
Your role in action:
- Build and maintain innovative applications and systems at scale and solve deep technical and mathematical challenges
- Develop high-quality, efficient production level code
- Continuously optimize and evolve complex applications and systems while lowering cost
- Collaborate with talented data scientists and engineers to deliver end-to-end products in a high velocity environment
- Establish and champion architectural standards that enable automated test and continuous integration/continuous deployment (CI/CD)
- Ownership of the entire software development lifecycle, from requirements gathering to production support. Joining the On-Call rotation for our applications is a requirement
Could this be you?
- Bachelor's degree in computer science or related technical field or the equivalent combination of education and experience.
- Hands-on industry experience in software design, development, and algorithmic problem-solving.
- Proficiency in Scala, along with experience in at least one additional programming language. Functional programming experience is a plus.
- A strong focus on writing high-quality, maintainable, and scalable software.
- Familiarity with any of the following technologies is a plus:
- Distributed systems such as Spark, Hadoop, Kafka
- Caching solutions like Redis or Memcached
- Building and designing RESTful or gRPC APIs and services
- Containerization and orchestration tools like Docker and Kubernetes
- SQL, relational databases, or data warehouses
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