The engineer will design, develop, and maintain scalable backend services, RESTful APIs, and modern web applications while improving software architecture for performance and reliability. They will also collaborate with cross-functional teams to integrate third-party systems and support business-critical workflows.
Design, develop, and maintain complex web applications and backend services using Node.js and modern frontend frameworks. Lead code reviews, mentor team members, and contribute to system design decisions focusing on scalability and security.
Develop, maintain, and enhance complex web applications while leading code reviews and system design decisions. Mentor other developers and collaborate with QA to ensure high-quality software delivery within an Agile environment.
Design and implement a scalable data quality framework while operationalizing GX Core for data validation. Develop observability solutions, maintain data lineage, and integrate quality checks into CI/CD pipelines to ensure data integrity.
The engineer will lead the migration of a native Swift mobile application to a cross-platform framework while integrating machine learning features and geospatial functionality. They are responsible for the full development lifecycle, including API design, performance optimization, and managing releases on the Apple App Store and Google Play Store.
Design, develop, and maintain backend APIs and services within a multi-tenant architecture using TypeScript and serverless technologies. Lead infrastructure migrations, optimize database performance, and ensure secure data handling across production environments.
The role involves designing and implementing scalable software solutions using C#, React, and relational databases while leading technical projects. Responsibilities also include mentoring junior engineers, performing code reviews, and contributing to architectural and technology stack decisions.
Develop, maintain, and debug RPG, RPGLE, and CL programs on IBM AS400/iSeries systems. Support and customize JD Edwards EnterpriseOne modules while managing system integrations and technical documentation.
Manage and optimize cloud infrastructure on Google Cloud Platform using Infrastructure as Code and CI/CD pipelines. Ensure the security, scalability, and observability of environments while collaborating with development teams on microservices architectures.
Lead the company's technology strategy and AI innovation roadmap while overseeing engineering operations and product scalability. The role involves managing technical budgets, vendors, and high-performing teams to align technology investments with business goals.
Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Establish validation standards, maintain data lineage, and integrate quality checks into CI/CD pipelines to improve business confidence.
Lead the implementation of a scalable data quality and observability framework using GX Core to detect and prevent data issues. Design automated validation checks, maintain data lineage, and integrate quality validations into CI/CD pipelines.
Provide advanced L2/L3 technical support for corporate Java applications to ensure operational continuity. Analyze and resolve complex software incidents while collaborating with development teams and managing tickets via Jira.
Provide Tier 2 technical support for macOS, Google Workspace, and SaaS platforms within an MSP environment. Manage client onboarding, device enrollment, and security remediation while maintaining high customer satisfaction.
Architect and build a scalable, modular web application from scratch for the waste hauling and logistics industry. Develop AI-powered features and manage the full development lifecycle from discovery to deployment.
Build and maintain data integrations across Filevine, Lead Docket, and Domo using APIs and webhooks. Develop AI-driven workflows using the Anthropic API and create BI dashboards for firm KPIs and marketing ROI.
Lead the security execution of an autonomous AI agent platform by validating security posture throughout the development lifecycle. Identify vulnerabilities and define security controls specifically for AI risks like prompt injection and tool misuse.
Lead the scope definition, backlog prioritization, and MVP delivery for an AI Agent-based B2B platform. Translate business requirements into executable roadmaps and coordinate with engineering and stakeholders to ensure measurable value.
Build and maintain an MVP evaluation harness including golden tasks and scorecard metrics. Integrate quality evaluations into the CI pipeline to gate releases and prevent regressions.
Implement and manage security controls and native tools within AWS to ensure infrastructure protection. Monitor incidents, manage identities, and ensure compliance with standards such as CIS, NIST, and SOC 2.
Design, develop, and maintain automated workflows, eForms, and business processes within the Laserfiche platform. Collaborate with business units to optimize operations and ensure secure, efficient system configurations.
Build the SME Studio MVP interfaces, including knowledge-capture exercises and admin views. Develop review and explainability surfaces while partnering with Product and Design teams.
Build the SME Studio MVP interfaces, including knowledge-capture exercises and admin views. Develop review and explainability surfaces while partnering with Product and Design teams.
The role is responsible for translating PRDs and PDDs into shippable work while owning the backlog and acceptance criteria. It involves defining quality for probabilistic agent behavior and managing stakeholder expectations and scope discipline.
The role involves building and maintaining an MVP evaluation harness, including golden tasks and scorecard metrics. It also requires integrating evaluations into the CI pipeline to ensure quality regressions fail builds and releases.
The role involves researching and extracting data from public and government sources to create structured, normalized datasets. The candidate will build maintainable scraping scripts and document the extraction methodologies and findings.
Manage and optimize the Atlassian Cloud ecosystem, including Jira, Confluence, and Jira Service Management. This involves designing scalable workflows, managing enterprise integrations, and providing technical support to end users.
Manage and optimize the Atlassian Cloud ecosystem, including Jira, Confluence, and Jira Service Management. This involves designing scalable solutions, automating workflows, and integrating enterprise systems to support business goals.
Build a core platform from scratch, including mobile-first interfaces for technicians and backend systems for documentation and compliance. Develop AI-powered intelligence features and integrate the platform with OEM diagnostic systems and vehicle data APIs.
The role focuses on managing the onboarding process for new hires to ensure a positive day-one experience. This includes coordinating with HR and technical teams, managing tickets, and maintaining tracking spreadsheets.
Develop Oracle Forms and PL/SQL solutions to transform stakeholder requirements into functional business applications. Troubleshoot software defects and maintain legacy enterprise databases within an Agile SDLC environment.
