Backend Engineer (Python)
Design and implement scalable, high-load backend systems using Python to handle large volumes of data. Collaborate with cross-functional teams to develop, deploy, and maintain microservices-based solutions.
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Design and implement scalable, high-load backend systems using Python to handle large volumes of data. Collaborate with cross-functional teams to develop, deploy, and maintain microservices-based solutions.
The engineer will design, build, and maintain scalable cloud-native backend systems while managing platform maintenance and operational tooling. They will collaborate with cross-functional teams to deliver high-performance solutions and ensure system reliability.
Lead the design and evolution of distributed system architectures with a focus on scalability and resilience in payment authorization flows. Act as a technical mentor for junior and mid-level developers while leading critical incident resolution and system troubleshooting.
The Software Engineer will own the reliability, scalability, and evolution of mission-critical pay-in and pay-out systems. They will architect event-driven solutions, drive technical decisions, and ensure system reliability through proactive monitoring and incident resolution.
The Senior Product Engineer will architect and design digital products while managing their implementation, testing, and production deployment. They will collaborate with cross-functional teams using Agile methodologies to ensure the success of enterprise payment solutions.
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You will develop and maintain core server-side logic for microservices while standardizing systems and infrastructure. Additionally, you will manage database schemas, cloud deployments, and secure communication pipelines.
Design and implement integration solutions using MuleSoft to connect EHR systems like Epic and Cerner. Manage healthcare data exchange using HL7 and FHIR standards while ensuring compliance with HIPAA security requirements.
You will drive end-to-end development of cybersecurity products by leading projects across the full stack. You will also mentor other engineers and collaborate with cross-functional teams to define and implement technical solutions.
You will design and build the control plane for curated data lifecycles, including orchestration, backfills, and data quality signals. You will also define the architecture for datasets and ensure robust contracts between ingestion and curation systems.
You will act as a trusted technical advisor to strategic partners, shaping target architectures and driving co-sell motions to grow the Cloudera footprint. Additionally, you will lead partner enablement through workshops and labs while serving as the primary technical liaison between partners and Cloudera's internal product teams.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and warehouse models while integrating GenAI techniques to improve data accessibility. They will also collaborate across teams to ensure data quality, support production systems, and evolve the company's data architecture.
You will own the end-to-end development and reliability of the alerting and correlation engine, ensuring high-fidelity signal processing. Additionally, you will mentor team members and drive technical strategy for integrating LLMs and complex telemetry into the platform.
You will build and maintain sophisticated event-driven microservices that power clean, affordable transport solutions across Africa. You will own your solutions end-to-end, from architectural design and development to production monitoring and infrastructure management.
Establish and measure reliability through SLIs, SLOs, and error budgets while raising the operational bar for incident response and change safety. Coach engineering teams to adopt an SRE mindset and integrate reliability into the design phase of the product lifecycle.
Design and develop modular AI agent systems capable of planning tasks, collaborating with other agents, and interacting with external tools. Implement robust integrations with corporate APIs and deploy scalable AI solutions in production environments using containerization and cloud infrastructure.
You will own and improve the data ingest Java service while designing and tuning PostgreSQL transaction batching and replication strategies. Additionally, you will contribute to next-generation architecture, build scalable API services on AWS, and integrate LLM-based tools for operational automation.
You will architect and build a scalable, modern data platform to support batch and streaming use cases while ensuring high availability and performance. You will also collaborate with cross-functional teams to operationalize data engineering and machine learning capabilities for real-time decision-making.
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Manage and configure Databricks workspaces, including Unity Catalog objects, cluster policies, and governance. Monitor and troubleshoot system performance, job failures, and platform errors while providing technical support to data engineers.
You will design and implement end-to-end features while participating in architectural discussions to improve system performance and scalability. You will also take ownership of core components, lead code reviews, and mentor team members to drive technical excellence.
You will own the hands-on engineering, automation, and observability of the Snowflake data platform to support analytics and AI/ML workloads. This includes managing infrastructure-as-code, security controls, performance tuning, and platform reliability.
Design, develop, and maintain back-end software systems for cloud-based cybersecurity solutions using microservices architecture. Ensure system reliability and performance through monitoring, testing, and debugging while collaborating with cross-functional teams.
You will lead and develop a team of backend engineers to build and operate high-throughput data systems. You will also partner with product management to scope roadmap work and ensure the reliability and resilience of production data pipelines.
Design, develop, and enhance enterprise-grade backend applications using Java, Spring Boot, and microservices architecture. Implement scalable solutions for event processing, REST APIs, and document management within a cloud-based environment.
You will architect and build scalable Java solutions for a global social gaming platform while maintaining high-load systems. You will also participate in the full development cycle and troubleshoot production issues using monitoring and profiling tools.
Lead the architecture and hands-on modernization of critical legacy software systems into domain-oriented applications. Drive technical strategy while remaining deeply involved in coding, refactoring, and improving production reliability.
Leads the design, development, and maintenance of scalable data and analytics platforms using distributed processing solutions. Collaborates with cross-functional teams to implement data governance, security, and high-performance ETL/ELT pipelines.
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The Site Reliability Engineer will manage and scale EKS clusters, maintain infrastructure as code, and support data platforms like Kafka. They will also participate in incident response, on-call rotations, and automate operational tasks to improve system observability.
Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines while evolving core platform components for scalability. Define data engineering standards, mentor team members, and lead cross-functional initiatives to ensure operational excellence and data governance.
You will manage and improve highly scalable, reliable cloud infrastructure supporting millions of devices and users across global platform instances. Additionally, you will collaborate with engineering leaders to execute infrastructure improvement initiatives, including architecture, budgeting, and cloud cost optimization.
Design, develop, and implement large-scale distributed systems and backend services to ensure high performance and reliability. Collaborate with cross-functional teams to optimize system scalability and resolve complex production issues.
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