We are looking for a skilled and experienced java developer to join our engineering team. as part of a company fully dedicated to ai-driven projects, you will have the opportunity to work on cutting-edge solutions that integrate machine learning and advanced data processing. this role is ideal for someone eager to tackle complex challenges, optimize performance, and contribute to innovative ai-powered applications. your responsibilities will include: participating in the entire software development cycle, from concept to deployment. developing and optimizing scalable, high-performance applications that support ai-driven solutions. writing clean, maintainable, and efficient code while following best practices. collaborating with cross-functional teams to design robust and scalable architectures. continuously researching new tools and technologies to improve system performance and reliability. what we are looking for: 5+ years of experience in java development, with a strong foundation in java se. experience with modern development frameworks such as spring and build tools like maven. familiarity with microservices architecture and best practices for distributed systems. hands-on experience with relational databases (mysql, postgresql, oracle) and query optimization. understanding of non-relational databases such as redis, dynamodb, or mongodb. cloud experience with aws (preferred) or gcp, including deployment and scaling strategies. knowledge of devops practices, ci/cd pipelines, and containerization tools (docker, kubernetes) is a plus. strong problem-solving skills and a...
What’s the opportunity? we’re looking for a site reliability engineer (sre) to join our team! as an sre, you're expected to ask key questions like: what data do we need to understand how our systems are performing? how do we collect that data? what patterns are we looking for, and what do they mean? who needs to be alerted when something isn’t working? are there any systems where we need more or better data?an sre designs systems and processes to answer these questions and automate support and response wherever possible. 🧑🏻💻 responsibilities: own opentelemetry pipelines: design, implement, and maintain observability pipelines across logs, metrics, and traces, ensuring standardized, scalable, and efficient data ingestion. optimize ingestion strategies for cost, performance, and usability. empower engineering teams: build self-service automation and tooling that lets development teams implement observability without needing manual sre support. drive best practices and ensure teams take ownership of their telemetry. support incident management: act as the engineering arm of the incident management team—designing playbooks, processes, checklists, and automations to support teams during incidents. collaborate across teams: work with teams across the business to understand their monitoring, alerting, and slo/sla needs. design solutions that meet or exceed these requirements and influence architectural decisions from the start to ensure scalability and resilience. automate observability infrastructure: use infrastructure-as-code (iac) to manage monitorin...
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