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Software Engineer, Cloud Infrastructure & Security
Design and operate Salesforce’s secure, multi-cloud governance platform that underpins its AI CRM and enterprise cloud ecosystem, building distributed control-plane systems for AWS, GCP, and Hyperforce.
Principal Software Engineer, Full Stack (Observability)
Principal engineer building Salesforce’s unified observability platform: metrics, logs, and traces with AI-first tooling, Java backends, React/LWC frontends, and OpenTelemetry/Kafka stacks.
DevOps Engineer
Senior DevOps Engineer building and scaling globally distributed infrastructure for Adobe’s Search & Sensei platforms using AWS/Azure, Kubernetes, Elasticsearch, Kafka, and CI/CD pipelines.
(General hire) Backend Software Engineer Graduate (Trust & Safety) - 2027 Start
Build and optimize backend systems for TikTok’s Trust & Safety team to detect harmful content and abusive behavior using distributed systems, big data tools, and machine learning.
Płatne praktyki | Data Engineer / Data Analyst
Internship role assisting with cloud data projects, ETL pipelines, SQL queries, and ML/AI solutions using Databricks, Snowflake, and MS Fabric.
Big Data Administrator - L3 Support
Summary of Position He/She will be a technical L3 resource for all Big Data services. As such, he/she will provide support for all production support activities within the Big Data team in Singapore. He/She is…
Solutions Design IT Specialist
Design and support a modern Azure-based data platform for risk analytics, using Databricks, Spark, Java/Spring Boot, and NoSQL stores to build scalable pipelines and lakehouse solutions.
Amazon Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR), EMR EKS
Build and scale AWS Elastic MapReduce (EMR) services handling Hadoop, Spark, and Presto clusters; design new big-data features and contribute to open-source projects.
Data Engineer (Data Service Platform)
Designs and operates scalable data pipelines (ingestion, streaming, batch) for real-time user behavior analytics, enabling targeting, recommendations, and performance tracking in a fintech platform. Core techs: Spark, Kafka, Flink, Airflow, and distributed storage (HBase, Cassandra).
DevOps-инженер
DevOps engineer maintains and scales Hadoop/Kubernetes clusters, automates CI/CD for Java apps, and ensures high availability of monitoring/logging systems.
Senior Software Engineer, PySpark
Builds and maintains financial transaction systems using PySpark, Java/Spring Boot, and AWS, focusing on data processing, RESTful services, and secure software engineering.
Senior Java Developer
Design and build scalable Java microservices using Spring Boot, Kafka, and Kubernetes; write tests with JUnit and Cucumber; and deploy via Jenkins and Docker.
Data Platform Engineer
Designs and builds large-scale data pipelines and analytics platforms using Hadoop, Spark, and Kafka to process and analyze enterprise data for reporting and ML workloads.
Senior Software Engineer-Bigdata & Hadoop Engineer with Development experience
Build and maintain Visa’s large-scale Hadoop and cloud-based big-data platforms, write Python/Java services, and integrate Generative AI to automate operations and improve system reliability.
Full Stack Developer
Builds and maintains a high-traffic pet-products marketplace using Python backends and React frontends, with REST/GraphQL APIs and cloud services.
Sr DevOps Engineer
A Senior DevOps Engineer at Adobe building and managing globally distributed infrastructure for the Search & Discovery and Adobe Sensei ML platforms, utilizing Elasticsearch, Kafka, Kubernetes, Docker, and public clouds like AWS and Azure.
Senior Java Developer
Build and maintain cash management & reporting apps using Java/Spring, Kafka, and Kubernetes; lead feature design and mentor junior devs in a fintech environment.
Lead Data Engineer
Lead a team to design and build scalable cloud data pipelines and platforms using Snowflake, AWS, and Airflow to power enterprise analytics and AI workloads.
Principal Software Engineer, Full Stack (Observability)
Principal engineer building Salesforce’s unified observability platform—metrics, logs, and traces—using AI-first workflows, Java backends, React/LWC frontends, and OpenTelemetry/Kafka stacks.