You will develop and maintain high-availability solutions while focusing on improving customer experience and technical architecture. Additionally, you will collaborate on new projects, mentor junior developers, and contribute to a data-driven development approach using A/B testing.
You will design and develop an in-house AI-powered Analytics Agent to automate data engineering tasks and dbt workflows. Additionally, you will collaborate with technical stakeholders to ensure the solution meets business needs while maintaining high standards for code quality and security.
The analyst will design ingestion frameworks and implement transformation pipelines to migrate legacy data into Google BigQuery. They are responsible for ensuring data quality, performing reconciliation, and delivering production-grade datasets for analytical consumption.
You will design and build highly responsive native iOS interfaces using SwiftUI and UIKit while managing secure authentication and integration flows. Additionally, you will optimize application performance, stability, and memory efficiency to meet high-quality benchmarks.
You will lead the end-to-end delivery of complex AI and Generative AI solutions, from initial ideation and architecture design to production deployment and operational monitoring. Additionally, you will drive technical strategy, mentor engineering teams, and ensure compliance with AI governance and responsible AI standards.
You will act as a primary resolver for L2/L3 Salesforce support, investigating incidents and troubleshooting complex technical issues. Additionally, you will develop and implement changes using Apex, Flow, and LWC while maintaining technical documentation and collaborating with stakeholders.
You will design, develop, and deploy end-to-end machine learning solutions, managing the full lifecycle from experimentation to production. You will also collaborate with cross-functional teams to integrate AI models into business processes while ensuring model governance and continuous improvement.
You will develop and maintain Salesforce solutions using Apex, SOQL, and LWC while contributing to solution design and technical decision-making. Additionally, you will perform unit and integration testing, maintain technical documentation, and support the release process within an Agile team.
You will lead the discovery phase and facilitate workshops while managing the entire design lifecycle from concept to implementation. Additionally, you will design complex user journeys and collaborate with cross-functional teams to deliver data-driven solutions.
The Program Manager will lead data transformation engagements from kickoff through operationalization, ensuring alignment between business goals and technology adoption. They will act as the primary interface for senior stakeholders while coordinating cross-functional teams including architects, engineers, and data analysts.
Develop and maintain backend applications with a focus on REST API development and migration to newer Java versions. Collaborate with the team to implement solutions using Spring and jOOQ while contributing to CI/CD processes and code quality.
You will develop and enhance scalable Salesforce solutions while collaborating with technical and business stakeholders to meet business needs. Additionally, you will contribute to the continuous improvement of the Salesforce platform by applying modern development approaches.
You will own the end-to-end development of features for an AI-powered accounting platform, from initial concept to deployment. This includes building backend services, designing reliable AI-powered workflows, and collaborating with product and domain experts.
You will design, develop, and maintain scalable batch and real-time data pipelines using Python, SQL, and dbt. Additionally, you will manage cloud-based data infrastructure on AWS and collaborate with cross-functional teams to deliver robust data solutions.
You will design, implement, and operate secure, scalable Azure platform capabilities while building infrastructure using Terraform and GitOps processes. Additionally, you will mentor engineers, apply Generative AI to infrastructure tasks, and collaborate with technical teams to drive platform engineering practices.
You will lead discovery phases to translate business needs into structured requirements and solution directions while facilitating workshops with cross-functional teams. Additionally, you will coordinate collaboration between business and technical stakeholders to ensure proposed solutions are technically feasible and aligned with project objectives.
You will design, build, and maintain scalable data pipelines while supporting migrations to BigQuery. Additionally, you will orchestrate and optimize data processing workloads to deliver production-grade data products for analytics and business intelligence.
You will design, develop, and maintain high-quality Android applications while collaborating with cross-functional teams to deliver scalable features. Additionally, you will integrate mobile applications with backend services and troubleshoot complex issues in production environments.
You will elicit and analyze business needs while co-creating solution visions aligned with customer priorities. Additionally, you will define functional requirements and collaborate with the development team throughout the project lifecycle to ensure successful delivery.
You will design and build consumable data assets on an AWS data platform while collaborating with product engineering teams to define data ownership and contracts. Additionally, you will onboard data from legacy warehouses and develop tooling to accelerate platform adoption.
The Senior Business Analyst will define analytical approaches, set project directions, and ensure business objectives are met within complex IT projects. They will act as a liaison between stakeholders, UX designers, and development teams to document functional requirements and validate technical solutions.
You will own the development and maintenance of the AI layer supporting business analytics, including defining requirements and evaluation frameworks for AI response quality. Additionally, you will collaborate with cross-functional teams to drive the adoption of AI-assisted analytics and validate new business use cases.
Coordinate QA activities across complex delivery projects while acting as the primary point of contact between internal teams and external providers. Manage defect lifecycles, maintain test evidence, and ensure quality gates are met for successful delivery and release readiness.
