• Design, develop, and maintain automated test frameworks for UI, API, and backend testing. • Lead the automation strategy, prioritizing efforts based on risk, impact, and business needs; establish and enforce automation standards and best practices. • Convert manual test cases into automated solutions. • Integrate automated tests into CI/CD pipelines. • Execute, monitor, and maintain automated regression and smoke test suites to ensure product stability and quality. • Conduct root cause analysis on defects and test failures. • Prepare and communicate quality metrics and status reports to management. • Collaborate with Product Owners, Business Analysts, Developers, and other stakeholders to ensure quality requirements are clearly defined.

• Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets. • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration. • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake. • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations. • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence. • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching. • Process structured, semi-structured, and JSON data from a variety of internal and external sources. • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions. • Identify opportunities to automate repetitive processes and improve operational efficiency. • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Role Description We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation. You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems. Responsibilities - Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets. - Develop Python-based automation for data collection, transformation, validation, and workflow orchestration. - Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake. - Integrate and process data from multiple SaaS platforms through REST APIs and other integrations. - Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence. - Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching. - Process structured, semi-structured, and JSON data from a variety of internal and external sources. - Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions. - Identify opportunities to automate repetitive processes and improve operational efficiency. - Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality. Qualifications - 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field. - Strong Python programming skills with experience in data processing, automation, and API integrations. - Experience with Databricks, PySpark, SQL, and Delta Lake. - Experience integrating and processing data from multiple SaaS platforms via APIs. - Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching. - Experience working with structured, semi-structured, and JSON data. - Familiarity with Git and modern software development practices. Requirements - Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants. - Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity. - Comfortable rapidly prototyping, testing, and iterating using AI-assisted development. Preferred Qualifications - Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools. - Experience with CRM platforms such as Salesforce or HubSpot. - Familiarity with LLM APIs and AI-powered applications. - Experience working in fast-paced startup environments. - Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery. Benefits - A fast-paced, collaborative startup culture with high visibility. - Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. - Opportunity to make a meaningful impact in building a company and culture. - Equity in a financial technology startup. - Generous health, dental, and vision coverage for employees and family members + 401K. - Eleven paid holidays and unlimited discretionary vacation days. - Competitive compensation and bonus potential.

Role Description Tria Federal is seeking a QA Engineer with strong experience using JavaScript and/or TypeScript who will be part of a collaborative and Agile team building modern, user-friendly applications supporting mission-critical U.S. federal government enterprise IT solutions. - The successful candidate will possess demonstrated experience performing manual software testing as well as developing and maintaining automated integration, API, and UI test suites. - Candidates should have hands-on experience creating automated tests using modern JavaScript/TypeScript-based testing frameworks and a solid understanding of software quality assurance best practices throughout the software development lifecycle. - Experience with Playwright is highly desired, as this role will utilize Playwright as the primary UI automation testing framework. - The QA Engineer will work closely with cross-functional teams to develop comprehensive test strategies, identify and report defects, and ensure high-quality software releases through a combination of manual and automated testing. Qualifications - Ability to obtain a U.S. Federal Position of Trust clearance designation. - Must reside in and be able to perform work in the United States. - Must have lived in the United States for 3 of the last 5 years. - Bachelor’s degree and 3+ years of related experience in related field. - Must possess a minimum of 2 years of automation testing experience using one or more frameworks like Selenium and Cypress. - Must have experience building automated tests for modern web applications using JavaScript/TypeScript. Requirements - Experience testing RESTful APIs using tools such as Playwright and Postman. - Experience with automation testing concepts, framework & best practices from industry in automating web applications. - Experience with sources control tools like GIT. - Experience working in an Agile/Scrum environment using tools like Jira and Confluence. - Ability to write clear and concise test cases and test plans. - Proficiency in designing and managing realistic test data sets to mimic real-world scenarios. - Understanding of software development life cycle (SDLC) and software testing life cycle (STLC). - Understanding sprint cycles and collaborating with Scrum teams within an Agile development environment. - Expertise in identifying, documenting, and reporting defects in a detailed and reproducible manner using bug tracking systems such as Jira. - Expert communication (written and verbal) with ability to present best practices, processes and workflows to internal and external stakeholders. - Ability to work effectively in a team environment, share knowledge, and contribute to the team's success. - Must show appetite for active learning, embracing change and mentoring others. Preferred Qualifications - Knowledge of SQL and familiarity with writing database scripts for backend validation. - Experience with continuous integration and delivery tools such as Jenkins or AWS CodeBuild. - Experience with log monitoring tools like Datadog and Splunk. - Knowledge using various IDEs like VS Code and IntelliJ. - Experience working in federal healthcare projects. Familiarity with CMS (Centers for Medicare and Medicaid Services) projects is a plus. Responsibilities - Document test issues and work with development team to validate/recreate. - Perform retesting and regression testing. - Document test results for incorporation into the Requirements Traceability and Verification Matrix. - Provide support to stakeholders during acceptance testing, including test script walkthroughs, document testing issues and test results, and answering questions on system functionality. - Develop and implement program test plans, quality assurance plans, programs, and procedures using the testing tools. - Develop automated test scripts to validate functional, technical, and performance requirements. - Execute test scripts during internal system testing. - Work with agile team members to make sure functional objectives are met. - Contribute to team discussion and agile ceremonies. - Collaborate with developers to ensure that tests are integrated into the development process. - Conduct code reviews to identify potential issues before they reach testing. - Implement and maintain automated testing frameworks. - Participate in continuous improvement initiatives to improve testing processes and methodologies. Benefits - Top-tier benefits package to invest in your physical, mental, and financial health and wellness. - Cultivating a culture in which all can thrive personally and professionally. - Opportunities to learn new skills, seize new challenges, and advance your career.