
1001 - 5000 employees
Founded 2011
🏢 Enterprise
☁️ SaaS
🔐 Security
💰 Private Equity Round on 2022-04
Enterprise • SaaS • Security
Precisely is a comprehensive data integrity and data intelligence company serving enterprises worldwide. It provides a range of products focused on achieving data accuracy, consistency, and context, such as the Data Integrity Suite, location intelligence solutions, and security and event management tools. The company's solutions include data integration, data management, spatial analytics, and process automation, supporting platforms like AWS, Microsoft Azure, IBM systems, SAP, and ServiceNow. Precisely helps organizations enhance their customer engagement and decision-making processes by transforming data into strategic assets, promoting high availability, disaster recovery, and compliance with security regulations.
🔥 2 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 12%
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
JavaScript
Kubernetes
Microservices
MongoDB
Node.js
NoSQL
React
SQL
Go
Where this job comes from
Posted on Precisely's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

1001 - 5000 employees
Founded 2011
🏢 Enterprise
☁️ SaaS
🔐 Security
💰 Private Equity Round on 2022-04
Enterprise • SaaS • Security
Precisely is a comprehensive data integrity and data intelligence company serving enterprises worldwide. It provides a range of products focused on achieving data accuracy, consistency, and context, such as the Data Integrity Suite, location intelligence solutions, and security and event management tools. The company's solutions include data integration, data management, spatial analytics, and process automation, supporting platforms like AWS, Microsoft Azure, IBM systems, SAP, and ServiceNow. Precisely helps organizations enhance their customer engagement and decision-making processes by transforming data into strategic assets, promoting high availability, disaster recovery, and compliance with security regulations.
• Independently drive features from design through delivery • Provide reliable platform support during US hours • Design, architect, develop, and unit test applications • Collaborate with architects, UI/UX experts, and software developers • Own technical designs and participate in technical discussions • Deliver scalable, stable, maintainable, and highly available products and features • Communicate across teams and time zones • Balance feature development with operational excellence • Bring a customer-first mindset while maintaining high engineering standards • Propose ideas and solutions to stakeholders and the product team • Contribute to strategy and roadmap development • Help build a high-volume, multi-tenant platform with near-real-time analytics • Participate in, guide, and mentor team members on architecture and design
• Bachelor's or master's degree in computer science or related field • 8+ years of experience developing enterprise software • Hands-on expertise in Node.js, Go (Golang), React, and MongoDB • Strong full-stack development experience • Excellent oral and written communication, analytical, and troubleshooting skills • Experience with AWS, Azure, GCP, Docker, Kubernetes, and microservices architecture • Understanding and hands-on experience with design patterns and architectural patterns • Excellent knowledge of OOP concepts • Understanding of distributed systems, scalability, and cloud-native application development • Experience with SQL and/or NoSQL databases • Strong debugging, troubleshooting, and production support skills • Ability to work independently with minimal supervision and drive work to completion • Ability to work with diverse and distributed product teams in an agile environment • Strong understanding of AI-assisted software development • Experience with AI-assisted coding tools such as GitHub Copilot and Cursor • Uses AI for code review, documentation, and test generation • Familiarity with LLM APIs or agentic workflows • Understanding of responsible AI principles including bias, security, and explainability • Candidates must be based in the United States and able to work Eastern Time business hours
• 100% remote work anywhere in the US • Opportunity to work with a globally distributed engineering team • Opportunity to participate, guide, and mentor team members • Meaningful work at the intersection of AI and data
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