We are looking for a Sr. Python Developer to join us working on a highly challenging Project.
REQUISITOS
- Cloud Provider AWS: EC2, Lambda, Aurora, Redshift, DynamoDB, ECS, SQS, SNS, Kinesis, S3, CloudFront, CloudFormation, SageMaker, KMS, CodePipeline, etc.
- DSLbased Search: multiple large scale Elasticsearch Clusters searched using our Disco Query Language (DQL).
- Event Bus: Kafka and Schema Registry
- 3rd Party Vendors: Redis, Auth0 for Cloud Identity Federation (SSO, SAML, etc).
- AI: MinHash, FastText, Word2Vec, Convolution Neural Nets, Algorithmia (Lambda
with GPUs) for training, PyTorch, Recurrent Neural Networks, Latent Dirichlet
Allocation for Topic Modeling, etc.
- Deployment: Terraform, Docker (via ECS), Consul for: App Config, Service
Discovery, Shared Secrets.
- Visibility: ELK Stack for logging, Datadog, New Relic, Sentry.io
- Programming Languages: Python, JavaScript, C#/.NET, Java.
- Transport Mechanisms: Protobuf, Avro, HTTP Rest/JSON
- CI/CD: Jenkins, CodeDeploy, GitHub, Artifactory
Position Requirements:
- Must design and communicate external and internal architectural perspectives of wellencapsulated systems (e.g. Service Oriented Architecture, Docker based Services, microservices) using patterns and tools such as Architecture/Design Patterns and
Sequence Diagrams. Must have experience with some amount of ‘Big Data’ technologies such as:
ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores.
- Should have experience with design, implementation, and operation of data intensive, distributed systems. (The book, Designing Data Intensive Applications, is a good reference)
- Should embrace the discipline of Site Reliability Engineering.
- Should have experience using Continuous Integration and
Continuous Deployment (CI/CD) with an emphasis on a
wellmaintained testing pyramid.
- Should have API and Data Model Design or Implementation experience, including
how to scale out, make highly available, or map to storage systems.
- Should have experience with multiple software stacks, have opinions and
preferences, and not be married to a specific stack.
- Should have experience designing and operating software in a Cloud Provider such
as AWS, Azure, or GCP.
- Might have experience using Feature or Release Toggles as a code branching
strategy.
- Might have experience designing, modifying, and operating multitenant
systems.
- Might know about algorithm development for intensive pipeline processing
systems.
- Might understand of how to design and develop from a Security
Perspective.
- Might know how to identify, select, and extend 3rd Party Components (Commercial
or Open Source) that provide operational leverage but does not constrain our product
and engineering creativity.
Your day might include designing and operating platformwide services such
as:
- Event Bus and Event Sourcing capabilities that provide business and engineering
leverage and efficiencies.
- Highly scalable and crazy performant search systems.
- Transactional or eventually consistent stores that provide wellencapsulated domain
object semantics.
- Orchestrated scaleout data pipelines that can leverage serverless and
containerized compute that balances cost, latency, and duration.
- Algorithmically intensive data engines that operate on streaming, large, or
multitenant datasets.
BENEFICIOS
Remoto.
- OSDE
- Revisiones Periódicas de Salarios y Bonos Anuales
- Convenio con BGH para la compra de sus productos con descuentos
Financiamiento para compra de computadoras, insumos informáticos, celulares y bicicletas .Posibilidad de viajar
- Clases de Inglés In Company y Capacitaciones
Tipo de puesto: Tiempo completo
