Drive the evolution of the Salesforce ecosystem to support B2B business strategy and enhance partner experiences. Lead strategic initiatives from discovery to delivery, focusing on AI-driven automation and marketing personalization.
Remote Software Development Jobs (54,786)
Job category = Software Development
Advanced Specialist–Kubernetes & Cloud Platform
HARMAN International
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Full Time
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3 Weeks Ago
HARMAN International
Design, build, and operate highly available Kubernetes platforms across hybrid cloud and on-premises environments. Implement observability frameworks, automate infrastructure provisioning, and enforce security controls and disaster recovery strategies.
The engineer will design high availability and disaster recovery solutions within Microsoft Azure to ensure cloud resiliency. They will also develop Major Incident Response Plans and coordinate business continuity efforts to align with operational SLAs.
The role focuses on assessing and optimizing the health, performance, and adoption of Microsoft 365 environments for customers. This includes analyzing network readiness, managing tenant configurations, and driving usage growth through analytics and governance.
Provide functional support to ensure APIs comply with organizational standards throughout their entire lifecycle. Participate in the design, validation, and final acceptance of APIs, specifically for applications integrating artificial intelligence.
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Senior AI Engineer
First Advantage Global operating Centre
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Full Time
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3 Weeks Ago
First Advantage Global operating Centre
The role involves designing and delivering AI-driven solutions for background screening within a Scrum team. Responsibilities include productionizing ML models, building data pipelines, and ensuring the reliability and security of production AI/ML workloads.
Sr Data Engineer (Bangalore candidates only)
First Advantage Global operating Centre
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Full Time
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3 Weeks Ago
First Advantage Global operating Centre
Design, develop, and maintain data warehouse and data lake applications to support reporting and machine learning models. Responsible for creating optimal data pipelines, automating manual processes, and ensuring data accuracy and integrity.
Senior Distributed Systems Engineer - Platform Engineering
RTB House
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Full Time
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3 Weeks Ago
RTB House
Lead the development and specification of technical areas such as deployment, monitoring, databases, and load balancing. Coordinate a project team of 3-4 people while ensuring the reliability and scalability of built solutions.
Responsible for the architectural design and core development of the exchange partner and agent system. This includes developing the commission clearing and settlement engine and managing high-concurrency transaction data flows using Pulsar or Kafka.
Own the end-to-end data science engine for priority verticals to drive measurable revenue and media efficiency. Focus on building and deploying models for Insurance and Advertiser Quality to improve ROAS and lead quality.
Own the end-to-end data science engine for priority verticals to drive measurable revenue and media efficiency. This involves framing business problems with stakeholders and building models to improve ROAS and lead quality.
Develop full-stack features for product onboarding and trial experiences, focusing on human and agent onboarding. Collaborate with PMs and designers to implement scalable APIs and agentic interfaces for Elastic Cloud growth.
Develop full-stack features for the product onboarding and trial experience, focusing on human and agent onboarding. Collaborate with PMs, designers, and solution teams to implement scalable APIs and agentic interfaces.
Develop full-stack features for product onboarding and trial experiences, focusing on human and agent onboarding. Collaborate with PMs and designers to implement scalable APIs and agentic interfaces for Elastic Cloud growth.
Develop full-stack features for the product onboarding and trial experience to drive growth for Elastic Cloud. Collaborate with PMs and designers to implement scalable APIs and agentic interfaces for user onboarding.
Build and ship end-to-end backend services, including APIs, automation pipelines, and cloud infrastructure for financial products. Collaborate with product and engineering teams to define technical solutions and maintain high code quality through reviews.
Senior AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis
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Full Time
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3 Weeks Ago
Mirantis
Lead the operation and reliability of large-scale AI infrastructure powered by NVIDIA GPUs and Kubernetes. Drive operational excellence through automation, incident resolution, and technical mentorship of other engineers.
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Senior AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis
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Full Time
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3 Weeks Ago
Mirantis
Lead the operation and reliability of large-scale AI infrastructure powered by NVIDIA GPUs and Kubernetes. Drive operational excellence through automation, incident resolution, and the development of operational standards.
Design and implement data processes using ADF Pipelines and Databricks while optimizing ETL performance. Develop and version data models and execute schema and data migrations within Azure cloud infrastructures.
AWS Data Platform Engineer
Poland and Eastern Europe
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Full Time
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3 Weeks Ago
Poland and Eastern Europe
Design and provision a lakehouse foundation on AWS using Terraform, focusing on security, tenant isolation, and infrastructure as code. Implement ingestion pipelines, workflow orchestration with Airflow, and end-to-end governance and observability.
Senior Rust Software Engineer - Banking Platform (m/f/x)
Scalable GmbH
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Full Time
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3 Weeks Ago
Scalable GmbH
Design and build high-throughput, low-latency Rust services for processing time-sensitive financial data. Implement robust financial logic and maintain real-time streaming pipelines while optimizing system performance.
Senior Rust Software Engineer - Banking Platform (m/f/x)
Scalable GmbH
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Full Time
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3 Weeks Ago
Scalable GmbH
Design and build high-throughput, low-latency Rust services for processing time-sensitive financial data. Implement robust financial logic and maintain real-time streaming pipelines while optimizing performance across CPU, memory, and network.
Senior Java Developer (with Python)
Salve.Inno Consulting
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Full Time
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3 Weeks Ago
Salve.Inno Consulting
Build and maintain backend services and APIs across multiple microservices while shaping backend architecture. Collaborate with Product Owners and DevOps to deploy cloud-native services on AWS and Azure.
The engineer will develop, maintain, and improve large-scale Java applications within an agile environment. They are responsible for applying programming best practices to ensure high code quality across both backend and frontend.
Design, develop, and maintain enterprise integrations for Amazon Connect and AWS-based contact center solutions. This includes building scalable APIs, Python-based Lambda functions, and managing infrastructure via Terraform.
Design, develop, and maintain enterprise integrations for Amazon Connect and AWS-based contact center solutions. This includes building scalable APIs, Python-based Lambda functions, and managing infrastructure via Terraform.
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Design, develop, and maintain enterprise integrations for Amazon Connect and AWS-based contact center solutions. This includes building scalable APIs, Python-based Lambda functions, and managing infrastructure using Terraform.
Design, develop, and implement Informatica MDM Hub solutions, including data models and match-merge rules. Integrate MDM with upstream and downstream systems while providing production support and performance tuning.
Translate business requirements into structured data requirements and logical models for enterprise master data initiatives. Define governance rules, attribute structures, and metadata management processes to ensure high-quality data domains.
Cloud Cost Governance Lead - Multi-Cloud FinOps
Spektra Systems LLC
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Full Time
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3 Weeks Ago
Spektra Systems LLC
Own end-to-end cost visibility, governance, and optimization across Azure, AWS, and GCP environments. Responsible for monitoring anomalies, performing root cause analysis for cost incidents, and driving commitment-based savings.
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