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A Senior Cloud Engineer builds and scales AWS-based backend services using Python/FastAPI, focusing on serverless architectures, event-driven systems, and secure cloud-native solutions.
Senior SRE building and operating mission-critical edge infrastructure connecting HiveWatch's SaaS platform to customer systems, using AWS (EKS, Kinesis, Serverless), Kubernetes, Terraform, and Kotlin/Rust/TypeScript/Python to ensure reliability and observability.
Principal Cloud Architect designs scalable cloud infrastructure, data platforms, and AI-augmented review workflows, prototypes patterns, and hands them off to engineering teams.
Design and maintain data pipelines for marketing attribution, predictive models, and growth analytics in a healthcare SaaS platform.
Build and scale secure, low-latency authentication services in Go/Python that power voice-based identity verification, integrating AI/ML signals for fraud detection across AWS/GCP.
Build backend systems that process IoT sensor data from fleets of trailers, reefers, and construction gear, using Kafka/Flink pipelines to deliver real-time location, geofence, and alerting services.
Designs and builds production-grade AI agents for enterprise revenue workflows, combining deep ML expertise with hands-on agent architecture, reasoning loops, and guardrails in a hybrid Bangalore role.
Build and scale core provider-platform services in C#, .NET, React, and AWS to manage provider data, onboarding, and real-time updates for Zocdoc’s healthcare marketplace.
Salary: £? - ? per year Requirements: Deep expertise in AWS networking, CloudFront, WAF, security automation, observability, large-scale log analytics, and cloud-native delivery practices. AWS WAF, Amazon CloudFront,…
Develops and maintains a high-volume marketing platform using Node.js, TypeScript, and AWS serverless tools, while mentoring junior engineers and improving system performance.
The Staff Software Engineer will design and lead technical solutions for complex logistics integrations, mentoring engineers and driving strategy within a multi-cloud, Java-based microservices environment. The role requires deep expertise in real-time cloud systems and a commitment to working from the Bangalore office three days per week.
Blockaid is looking for a Backend Engineer to design and scale core security infrastructure that protects Web3 users from fraud and hacks. The role involves building high-performance data pipelines and APIs using Go, Rust, or Python within a cloud-native environment.
Build end-to-end production-grade data products using Databricks, Spark, Python, SQL, and Kafka, spanning data pipelines, REST APIs, and lightweight applications for a partner company based in India.
Designs and maintains scalable data pipelines and warehouses, building ETL processes in cloud/on-prem environments to support analytics and business intelligence.
Backend engineer specializing in Golang on a MarTech team at a Brazilian SaaS company for small business management. Day-to-day involves building scalable microservices, integrating CDP/CRM/marketing platforms, and managing AWS cloud infrastructure and observability.
Staff Data Engineer building an end-to-end data platform from scratch, designing near real-time streaming pipelines, vector database infrastructure, and AI-ready data systems using Kafka, dbt, cloud warehouses, and Python.
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
Overview Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range,…
Senior Cloud Python Developer working on-site in Warsaw with Python, AWS, SQL, Docker, Kafka, and monitoring tools like Grafana, Prometheus, and OpenTelemetry.
Leads AWS data platform engineering, designing scalable cloud-native data pipelines and frameworks while mentoring teams and driving innovation in AWS services for enterprise-wide data initiatives.
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