
Azumo
Remote Jobs
Nearshore Software Developer for Web, Mobile, Data and Cloud.
42 Jobs
• Research, design, and build production-grade UiPath automations and intelligent workflows across multiple functional areas. • Lead full-cycle development: build integrations with ERP, CRM, databases, APIs, Microsoft applications, and other enterprise platforms. • Conduct process assessments, translate business and mission requirements into technical designs, and prototype quickly with stakeholders. • Perform unit testing, lead exception handling setup, support UAT activities, and resolve defects to ensure high-quality delivery. • Implement CI/CD pipelines and Git-based source control for automated testing, monitoring, logging, and rollback. • Develop reusable components, libraries, and frameworks to align with enterprise automation governance standards. • Contribute to Azumo’s innovation roadmap by monitoring production automations, implementing enhancements, and advancing our automation portfolio.
Role Description Azumo, a leading AI Development company, is seeking a highly motivated RPA Developer to join our growing team of expert developers. As part of our team, you will collaborate with business stakeholders, process owners, and technical teams across SaaS, cloud, and big data environments. You will work on cutting-edge software development services, translating operational needs into production-ready automation solutions that drive real-world impact and reduce manual effort for global clients. At Azumo, you’ll thrive if you enjoy the full lifecycle of enterprise automation development—from process assessment and prototyping to deployment, monitoring, and scaling scalable, secure, and maintainable solutions. Responsibilities in Automation Development - Research, design, and build production-grade UiPath automations and intelligent workflows across multiple functional areas. - Lead full-cycle development: build integrations with ERP, CRM, databases, APIs, Microsoft applications, and other enterprise platforms. - Conduct process assessments, translate business and mission requirements into technical designs, and prototype quickly with stakeholders. - Perform unit testing, lead exception handling setup, support UAT activities, and resolve defects to ensure high-quality delivery. - Implement CI/CD pipelines and Git-based source control for automated testing, monitoring, logging, and rollback. - Develop reusable components, libraries, and frameworks to align with enterprise automation governance standards. - Contribute to Azumo’s innovation roadmap by monitoring production automations, implementing enhancements, and advancing our automation portfolio. Qualifications - Bachelor’s Degree in Computer Science, Software Engineering, or related field (Master’s is a plus). - 3+ years of professional experience developing and deploying enterprise automation solutions. - Strong, expert-level knowledge of the UiPath platform, including UiPath Studio, Orchestrator, and REFramework. - Hands-on experience integrating with web applications, APIs, databases, and enterprise systems like SAP, QAD, or similar. - Proven experience with software engineering fundamentals, exception handling, logging, monitoring, and automation support. - Familiarity with DevOps/Infrastructure as Code practices, including Git-based source control and CI/CD tools. - Strong written and verbal communication skills to explain technical concepts to diverse audiences and collaborate with business SMEs. - Professional English proficiency (B2/C1). Preferred Qualifications - UiPath Certified Professional (UCP) certification. - Experience with Document Understanding, AI Center, Intelligent Document Processing, or advanced AI-driven automation services. Benefits - Paid time off (PTO) - U.S. Holidays - Training - Udemy free Premium access - Mentored career development - Profit Sharing - $US Remuneration Company Description Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives, and sharing our knowledge.
Role Description Azumo, a leading AI Development company, is seeking a highly motivated RPA Developer to join our growing team of expert developers. As part of our team, you will collaborate with business stakeholders, process owners, and technical teams across SaaS, cloud, and big data environments. You will work on cutting-edge software development services, translating operational needs into production-ready automation solutions that drive real-world impact and reduce manual effort for global clients. At Azumo, you’ll thrive if you enjoy the full lifecycle of enterprise automation development—from process assessment and prototyping to deployment, monitoring, and scaling scalable, secure, and maintainable solutions. Responsibilities in Automation Development - Research, design, and build production-grade UiPath automations and intelligent workflows across multiple functional areas. - Lead full-cycle development: build integrations with ERP, CRM, databases, APIs, Microsoft applications, and other enterprise platforms. - Conduct process assessments, translate business and mission requirements into technical designs, and prototype quickly with stakeholders. - Perform unit testing, lead exception handling setup, support UAT activities, and resolve defects to ensure high-quality delivery. - Implement CI/CD pipelines and Git-based source control for automated testing, monitoring, logging, and rollback. - Develop reusable components, libraries, and frameworks to align with enterprise automation governance standards. - Contribute to Azumo’s innovation roadmap by monitoring production automations, implementing enhancements, and advancing our automation portfolio. Qualifications - Bachelor’s Degree in Computer Science, Software Engineering, or related field (Master’s is a plus). - 3+ years of professional experience developing and deploying enterprise automation solutions. - Strong, expert-level knowledge of the UiPath platform, including UiPath Studio, Orchestrator, and REFramework. - Hands-on experience integrating with web applications, APIs, databases, and enterprise systems like SAP, QAD, or similar. - Proven experience with software engineering fundamentals, exception handling, logging, monitoring, and automation support. - Familiarity with DevOps/Infrastructure as Code practices, including Git-based source control and CI/CD tools. - Strong written and verbal communication skills to explain technical concepts to diverse audiences and collaborate with business SMEs. - Professional English proficiency (B2/C1). Preferred Qualifications - UiPath Certified Professional (UCP) certification. - Experience with Document Understanding, AI Center, Intelligent Document Processing, or advanced AI-driven automation services. Benefits - Paid time off (PTO) - U.S. Holidays - Training - Udemy free Premium access - Mentored career development - Profit Sharing - $US Remuneration Company Description Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
Sales Executive, AI & Machine Learning Services
AzumoNearshore Software Developer for Web, Mobile, Data and Cloud.
Title: Sales Executive, AI & ML Services (US, Remote) Location: los angeles CA US Job Description: About the role Azumo is hiring a Sales Executive to originate new AI and ML services engagements with enterprise and mid-market companies across the US and Canada. Over 80% of our new revenue now comes from AI-driven projects, and we need a seller who can identify the right opportunities, navigate technical buying committees, and close deals with real engineering scope. This is a hunter role. You will own pipeline generation, qualification, and close. You will work alongside our engineering leadership on technical discovery and proposal development. You will sell into CTOs, VPs of Engineering, Heads of Data, and their teams. What you'll do Originate new AI and ML services opportunities through targeted outbound, warm introductions, partner referrals, and inbound lead follow-up Build and manage a qualified pipeline across enterprise and mid-market accounts in the US and Canada Run technical discovery in partnership with our solutions and engineering leadership, converting business problems into defensible engagement scopes Shape proposals, SOWs, and commercial terms that reflect the real complexity of AI implementation work Navigate multi-stakeholder buying processes involving technical evaluators, finance, legal, and executive sponsors Maintain accurate forecasting and pipeline hygiene in HubSpot Represent Azumo's engineering credibility in client conversations, not just our company story Requirements What we're looking for Solid experience selling technology services or custom software engineering engagements to US-based buyers. A track record of originating new logo business, not only expanding existing accounts Working fluency in AI and ML sufficient to hold a substantive first call with a technical buyer. You do not need to be an engineer, but you do need to speak credibly about model selection, LLM applications, data engineering, and production deployment concerns Experience carrying quota against six-figure and low-seven-figure deal sizes with multi-stakeholder decision processes Strong discovery skills. You lead with questions, not pitches Disciplined about CRM hygiene, forecasting, and pipeline reviews Written and verbal communication that holds up in front of senior technical and executive audiences Based in the United States and authorized to work in the US Nice to have Prior experience selling nearshore or distributed engineering services Existing relationships with CTOs, VPs of Engineering, or Heads of Data at mid-market or enterprise companies Background in consulting, engineering, or another technical discipline before moving into sales Benefits Company benefits include: - Paid Time Off - Mentored Career Development - U.S. Holidays - USD Remuneration - Profit Sharing - Maternity Coverage - 100% Remote Compensation and location Remote within the United States. Compensation is commensurate with experience and includes base salary plus commission.
**Responsibilities:** Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS - Improve ingestion pipeline quality, reliability, scalability, and governance - Develop and optimize core data models and foundational data tables - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting - Implement data governance, data quality, lineage, and observability practices - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making - Optimize large-scale data processing workflows for performance and cost efficiency - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations - Build and maintain reliable orchestration workflows and scheduling systems - Participate in architectural discussions around scalability, governance, and data platform modernization
Data Engineer - Databricks / AWS (Gaming & LiveOps)
AzumoNearshore Software Developer for Web, Mobile, Data and Cloud.
Role Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America. This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across Riot’s gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS - Improve ingestion pipeline quality, reliability, scalability, and governance - Develop and optimize core data models and foundational data tables - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting - Implement data governance, data quality, lineage, and observability practices - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making - Optimize large-scale data processing workflows for performance and cost efficiency - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations - Build and maintain reliable orchestration workflows and scheduling systems - Participate in architectural discussions around scalability, governance, and data platform modernization Qualifications - Strong experience with Databricks - Strong SQL and Python programming experience - Experience building scalable ETL/ELT pipelines - Experience with AWS data ecosystem and cloud-native architectures - Experience with dbt, Apache Airflow or similar orchestration tools - Strong understanding of data modeling and analytics engineering - Experience working with large-scale structured and semi-structured datasets - Experience implementing data governance and data quality practices - Experience optimizing pipeline performance and scalability - Strong communication and collaboration skills - Ability to work independently within distributed engineering teams Nice to Have - Gaming industry experience - LiveOps or telemetry pipeline experience - Experience supporting analytics for player behavior, engagement, monetization, or publishing systems - Experience with real-time or streaming data systems - Experience with viewer analytics or esports data ecosystems - Experience with KPI reporting and operational dashboards - Familiarity with cost optimization and cloud infrastructure analytics - Experience working in fast-paced product engineering organizations Basic Qualifications - BS or Master’s degree in Computer Science, related degree, or equivalent experience - 5+ years experience with data-related and data management responsibilities - Deep expertise in designing and building data warehouses and big data analytics systems - Practical experience manipulating, analyzing and visualizing data - Self-driven and motivated, with a strong work ethic and a passion for problem solving - Professional English proficiency (B2/C1) Benefits - Paid Time Off - Mentored Career Development - U.S. Holidays - USD Remuneration - Profit Sharing - Maternity Coverage - 100% Remote
Role Description Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America. This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across Riot’s gaming ecosystem. The ideal candidate has strong hands-on experience with Databricks, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices. Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred. The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential. Responsibilities - Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS - Improve ingestion pipeline quality, reliability, scalability, and governance - Develop and optimize core data models and foundational data tables - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting - Implement data governance, data quality, lineage, and observability practices - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making - Optimize large-scale data processing workflows for performance and cost efficiency - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations - Build and maintain reliable orchestration workflows and scheduling systems - Participate in architectural discussions around scalability, governance, and data platform modernization Qualifications - Strong experience with Databricks - Strong SQL and Python programming experience - Experience building scalable ETL/ELT pipelines - Experience with AWS data ecosystem and cloud-native architectures - Experience with dbt, Apache Airflow or similar orchestration tools - Strong understanding of data modeling and analytics engineering - Experience working with large-scale structured and semi-structured datasets - Experience implementing data governance and data quality practices - Experience optimizing pipeline performance and scalability - Strong communication and collaboration skills - Ability to work independently within distributed engineering teams Nice to Have - Gaming industry experience - LiveOps or telemetry pipeline experience - Experience supporting analytics for player behavior, engagement, monetization, or publishing systems - Experience with real-time or streaming data systems - Experience with viewer analytics or esports data ecosystems - Experience with KPI reporting and operational dashboards - Familiarity with cost optimization and cloud infrastructure analytics - Experience working in fast-paced product engineering organizations Basic Qualifications - BS or Master’s degree in Computer Science, related degree, or equivalent experience - 5+ years experience with data-related and data management responsibilities - Deep expertise in designing and building data warehouses and big data analytics systems - Practical experience manipulating, analyzing and visualizing data - Self-driven and motivated, with a strong work ethic and a passion for problem solving - Professional English proficiency (B2/C1) Benefits - Paid Time Off - Mentored Career Development - U.S. Holidays - USD Remuneration - Profit Sharing - Maternity Coverage - 100% Remote
• Develop and maintain a high performing and scalable backend infrastructure • Collaborate with a growing team of bright engineering minds • Design and develop scalable, high performant backend infrastructure • Maintain and update existing services
• Originate new AI and ML services opportunities through targeted outbound, warm introductions, partner referrals, and inbound lead follow-up • Build and manage a qualified pipeline across enterprise and mid-market accounts in the US and Canada • Run technical discovery in partnership with our solutions and engineering leadership, converting business problems into defensible engagement scopes • Shape proposals, SOWs, and commercial terms that reflect the real complexity of AI implementation work • Navigate multi-stakeholder buying processes involving technical evaluators, finance, legal, and executive sponsors • Maintain accurate forecasting and pipeline hygiene in HubSpot • Represent Azumo's engineering credibility in client conversations, not just our company story
Sales Executive, AI & ML Services (US, Remote)
AzumoNearshore Software Developer for Web, Mobile, Data and Cloud.
About the role Azumo is hiring a Sales Executive to originate new AI and ML services engagements with enterprise and mid-market companies across the US and Canada. Over 80% of our new revenue now comes from AI-driven projects, and we need a seller who can identify the right opportunities, navigate technical buying committees, and close deals with real engineering scope. This is a hunter role. You will own pipeline generation, qualification, and close. You will work alongside our engineering leadership on technical discovery and proposal development. You will sell into CTOs, VPs of Engineering, Heads of Data, and their teams. What you'll do Originate new AI and ML services opportunities through targeted outbound, warm introductions, partner referrals, and inbound lead follow-up Build and manage a qualified pipeline across enterprise and mid-market accounts in the US and Canada Run technical discovery in partnership with our solutions and engineering leadership, converting business problems into defensible engagement scopes Shape proposals, SOWs, and commercial terms that reflect the real complexity of AI implementation work Navigate multi-stakeholder buying processes involving technical evaluators, finance, legal, and executive sponsors Maintain accurate forecasting and pipeline hygiene in HubSpot Represent Azumo's engineering credibility in client conversations, not just our company story
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