Principal Software Engineer

Precisely
Atlanta, GA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$186,000.0 - $257,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Code Generation Software Quality Code Review Databases Information Engineering Extract Transform Load (ETL) Cursor
+23 more
Software Debugging MongoDB Node.Js Redis Software Engineering Software Systems Datadog Google Cloud GitHub Copilot ReactJS Large Language Models Prompt Engineering Generative AI Backend Git Containerization Kubernetes Apache Kafka Machine Learning Operations Front End Software Development Restful APIs Docker Microservices

Job description

  • Ensure software solutions align with business objectives and meet performance, scalability, and reliability requirements.
  • Leads architecture for all components in an investment segment. May focus on one component but must have expertise across all components.
  • Responsible for design of systems in the investment segment.
  • Actively supports Product Manager in the Product Planning, business performance of one or more products.
  • Understand requirements that comes from stakeholders and helps turn them into consumable backlog items for the team.
  • Write clear, compelling, and detailed (technical) user epics and stories with user acceptance criteria. Participate in story grooming exercises for crisp and unambiguous documentation and communication of features to be developed.
  • Coordinate with appropriate architects to ensure tech decisions are made and implemented. Also Identifying business process improvements and opportunities for automation.

Requirements

  • 8-10+ years of industry experience in the areas of data engineering and product management.
  • Expert-level experience with Node.js for backend application development and architecture is required. Experience with Java is a plus but not required.
  • Bachelors Degree (or higher) in business or technical field.
  • Track record of Designing and developing of data products or software products.
  • Expertise in Node for backend development; familiarity with frontend scripting languages such as react will be a plus.
  • Expertise with databases, particularly Mongo Atlas, and developing/consuming REST APIs.
  • Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is a must.
  • Basic understanding of agile and scrum methodologies is a must.
  • Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Code fresh, hands on will be advantageous
  • Working knowledge of data ETL will be preferred.
  • Ability to communicate with various stakeholders at all levels of the organization.
  • Excellent verbal and written communication skills.
  • Excellent interpersonal skills and active listener.
  • Able to set and meet time-sensitive goals.
  • Able to handle multiple tasks simultaneously and adapt to change while providing structure to operations and go-to-market teams.

AI Skills/Knowledge:

  • Proficiency with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Amazon CodeWhisperer) to accelerate development velocity
  • Experience using AI-powered code review agents to improve code quality and reduce review cycles
  • Ability to critically evaluate and validate AI-generated code for correctness, security, and maintainability
  • Familiarity with LLM APIs or agentic workflows
  • Comfortable incorporating generative AI tools into daily engineering workflows (debugging, documentation, test generation)

Preferred Skills:

  • Experience on git hub spec driven development
  • Understands concept of constitutions and skills and agents MD
  • Hands-on experience building or architecting agentic workflows and multi-step AI pipelines
  • Experience with prompt engineering and fine-tuning strategies for developer productivity use cases
  • Familiarity with AI observability and evaluation frameworks (e.g., LangSmith, Weights & Biases)
  • Exposure to Retrieval-Augmented Generation (RAG) patterns and vector database integrations
  • Experience leading or mentoring teams in adopting AI tooling and best practices
  • Knowledge of responsible AI principles bias detection, model safety, and governance at the enterprise

About the company

At Precisely, we’re not just building software we’re shaping the future of data integrity. As a global leader in data quality, data enrichment, and location intelligence, Precisely helps thousands of the world’s most trusted brands make confident decisions with data they can rely on. We’re an AI-first organization, which means artificial intelligence isn’t a buzzword here it’s woven into how we build products, how we work, and how we think about solving complex problems for our customers. When you join Precisely, you join a team of curious, driven innovators who believe that better data makes the world run better. If you’re ready to do meaningful work at the intersection of AI and data and help define what’s possible we’d love for you to apply!

This position is 100% remote anywhere in the US

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Apply on www.jofdav.com
Prepare application

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