Job Summary: We are seeking a Senior Software Engineer with strong technical expertise to design and develop unified, scalable platform systems, lead engineering teams, improve operational efficiency, and emphasize cybersecurity. Key Highlights: 1. Design and develop scalable, high-performance systems. 2. Lead junior engineers and foster technical excellence. 3. Focus on cybersecurity in product design. Description and Details of Responsibilities * Possess a very strong technical background and have a high degree of appreciation for distributed data-intensive backend systems design and an uncompromising attitude toward quality and ownership * Know well when to develop a solution with core language features and when to leverage a managed service or open-source tools * Can evaluate a wide range of technologies, recommending solutions, and leading efforts to implement and deliver * Build cybersecurity into your product designs and understand cybersecurity within an AWS ecosystem. * Prefer candidates based in Tijuana but work remote with infrequent travel to our offices in Tijuana and/or San Jose, CA possible **Responsibilities/Functions** * Help build a scalable, operable and performant unified application and data platform for Outset’s application developers, data scientists/engineers * Design new software systems and enhancements to existing systems to support substantial new software features and products * Develop SQL and NoSQL, solve big data and data problems * Develop batch, real-time and streaming data solutions, data-intensive platform APIs and services. * Develop performant and robust multi-threaded and event-driven solutions * Identify limitations and required features in platform APIs and data tools and partner with teams to design and implement them. Collaborate with teams to help streamline their POCs and MVPs into production grade systems * Help improve logging to enhance our alerting and debugging of production issues and participate in our on-call support rotation internally and on PagerDuty * Help establish and improve measurable metrics for platform’s success and service objectives * Drive efficiency and reliability improvements through design and DevOps automation: performance, scaling and monitoring * Lead junior engineers and drive a culture of merit and technical perfection * When tackling authentication-sensitive data problems, be mindful of security, least privilege access, PII/PHI and data reliability concerns Experience and Requirements * Master’s degree in computer science, or a similar field, or an equivalent combination of education (Bachelor’s degree) and related work experience * Minimum of 8+ years of experience in software development with hands on coding experience covering full stack and big data * Programming skills in one or more: Java, Python, Scala, Typescript/Javascript, and SQL * Strong foundation in pragmatical computer science, with competencies in common data structures, algorithms, OOP, Functional Programming and software design and patterns * Problem solving and debugging skills * Experience in designing and developing RESTful APIs, data persistence APIs * Experience with a variety of backend & database technologies and with making architectural trade-offs * Willing to pick up any languages, technologies, or methodologies necessary—and if a conventional solution does not exist, innovate as necessary * Expert with AWS * Experience with large-scale distributed storage and database systems (RDBMS or NoSQL) * Experience with distributed messaging systems * Experience with building real-time messaging solutions with core language features as well as AWS managed services and open-source turn-key solutions * Familiarity with microservice architectures, containers and related DevOps technologies and concepts. * Experience with setting up server monitoring, alerting, logging and server provisioning * Experience with Terraform, Ansible, Docker, AWS CDK, CloudFormation, EKS/Kubernetes or similar technologies * Experience with developing and productionizing ML models * Experience with AIOps/MLOps — cloud application and infrastructure predictive analytics: catch platform API, server, job failures before they happen * Familiarity with one or more: DynamoDB-S3-Kafka/Zookeeper-Kinesis-Postgres-Snowflake-Athena-MQTT-RabbitMQ-GraphQL-Avro-Protocol Buffers-Thrift-gRPC-nginx-AWS VPC-ALB-CloudWatch-CloudTrail-SQS-SNS-Cognito-Inspector-Lambda-Fargate-OWASP-STIG-Spark-Flink-SageMaker-MLFlow-TensorFlow-Scikit-etc Benefits * Benefits according to the Federal Labor Law (LFT) * Life insurance * Annual bonuses * Savings fund * Cafeteria * Transportation * Medical expense insurance * Indexation plan **Number of Vacancies** 1 **Department** Computer Science / Systems / IT / Programming / Software **Contract Type** Permanent **Work Mode** Hybrid **Shift** Day **Working Hours** Full-time **Education Required** Bachelor’s degree with professional title **English Proficiency** Spoken: Advanced, Written: Advanced **Willingness to Travel** No