Remote Jobs at Flex

Candidates must possess a minimum of 6 years of experience in software engineering and a minimum of 4 years of experience with Java, along with the ability to work on a globally-distributed team with a high degree of ownership. Experience building robust, fault-tolerant systems with multiple external dependencies and designing, building, and maintaining data pipelines are also required. Proficiency in Java frameworks and tools, including Spring, Gradle, JUnit, and JVM, is essential, as is experi…

Candidates should possess a minimum of 6 years of industry experience in data infrastructure or data engineering, with a minimum of 6 years of experience utilizing Python and SQL, and at least 3 years of experience with DBT and Snowflake. Experience with AWS services such as Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, and familiarity with big data platforms like Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, and experience with relational and NoSQL databases is required. Strong…

Candidates must possess a minimum of 4 years of experience in React.js or React Native. Strong computer science fundamentals are required, along with a focus on building high-quality mobile and web UIs. Experience with React Native and React ecosystems (Hooks, Components, Context, Redux), leading large-scale product delivery without performance bottlenecks, and writing maintainable, testable TypeScript code using industry best practices are essential. Familiarity with REST APIs and tooling acros…

Candidates must possess a Master's or Ph.D. in Computer Science, Engineering, or a related field, with over 6 years of experience as a Machine Learning Engineer. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is essential, alongside extensive experience with cloud platforms like AWS, GCP, or Azure and distributed computing frameworks such as Spark or Kubernetes. A proven history of implementing end-to-end machine learning pipelines, strong skills in model op…

Candidates must have 5+ years of relevant data science experience, proficiency in Python, SQL, or another analytical tool, and experience developing risk models and consumer behavior models. A strong understanding of statistical analysis, machine learning, and data visualization tools is required, along with experience collaborating with cross-functional teams and communicating data-driven recommendations to non-technical stakeholders. In-depth knowledge of model governance principles and practi…

Candidates must possess a minimum of 4 years of experience with Java. Experience in designing, building, and scaling backend services and APIs is required, along with a strong understanding of service-oriented architecture, REST APIs, message queues, and scalable systems design. Experience with risk management systems, including rules engines and ML-powered fraud detection, is also beneficial.

Candidates must possess a Bachelor's degree in Computer Science or a related field, or equivalent experience, along with 6+ years of experience in software quality engineering and test automation. Expertise is required in multiple programming languages, automation frameworks, architecting scalable automation solutions, advanced testing methodologies, test data generation, data-driven testing, and emerging technologies. Deep knowledge of CI/CD systems and infrastructure-as-code tools is necessary…

Candidates should have 6+ years of software development experience, including technical leadership. Required technical skills include Java (4+ years) and React/TypeScript (3+ years), along with proficiency in SQL and NoSQL databases like MySQL/PostgreSQL/DynamoDB. Experience with AWS cloud services (ECS/EKS, Lambda, API Gateway, VPN, RDS), infrastructure as code (AWS CLI, AWS CDK/Terraform), and finance reporting/reconciliation is necessary. Strong communication skills are essential.

A minimum of 4 years experience in React.js or React Native is required, along with strong computer science fundamentals and a focus on building high-quality mobile and web UIs. Experience with React Native and React ecosystems (Hooks, Components, Context, Redux), leading large-scale product delivery without performance bottlenecks, writing maintainable and testable TypeScript code with best practices, and familiarity with REST APIs and tooling are essential. Preferred qualifications include exp…

Candidates must possess a Bachelor's degree in Statistics or a related quantitative field, with at least 8 years of experience in analytics and data science. Proficiency in data mining and analysis tools like Python and SQL is essential, alongside exceptional stakeholder management and collaboration skills. Strong business acumen, strategic thinking abilities, and prior experience in the technology industry or a fast-paced, data-driven environment are preferred, with a strong preference for expe…

Candidates should possess 6-8+ years of professional software engineering experience with a backend focus, including 4+ years of hands-on Java experience with Spring core/web/boot, Gradle, JUnit, and JVM tuning. Strong computer science fundamentals and proven experience in designing scalable, distributed systems are required, along with a track record of leading multiple high-impact projects end-to-end and collaborating effectively with technical and non-technical stakeholders. The ability to wr…

Candidates must have a minimum of 8 years of industry experience in data infrastructure/data engineering, with at least 8 years of experience using Python and SQL. A minimum of 4 years of experience is required with DBT, Snowflake, and Infrastructure as Code tools like CDK and Terraform. Familiarity with AWS services such as Lambda, Step Functions, Glue, RDS, EKS, DMS, and EMR is necessary, along with experience in big data platforms like Kafka, Hadoop, Hive, Spark, Cassandra, and Airflow. Exper…

Candidates must have a Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related technical field, with over 6 years of experience in machine learning, including at least 3 years in senior or staff-level roles. Expertise in Python and ML libraries like TensorFlow, PyTorch, and scikit-learn is essential, along with extensive experience in cloud platforms (AWS, GCP, Azure), ML infrastructure tools, distributed computing, and data workflow tools. A proven track record of designing…