You will architect and develop enterprise-grade backend services and RESTful APIs while optimizing complex data layers. Additionally, you will lead technical research and collaborate within an Agile Scrum team to deliver high-performance, maintainable software solutions.
The Data Engineer will design and maintain robust ETL/ELT pipelines on GCP while optimizing data infrastructure for scalability. They will also build analytics tools and integrate diverse data ecosystems to provide actionable insights for business performance.
You will design, build, and deploy production-ready AI agents and agentic workflows using frameworks like LangGraph and CrewAI. Additionally, you will optimize knowledge retrieval pipelines and implement security guardrails to ensure reliable AI solutions on AWS.
You will architect and deploy autonomous agentic workflows and multi-agent systems using cutting-edge LLM frameworks and cloud infrastructure. Additionally, you will lead technical execution, establish observability and security guardrails, and mentor engineering teams throughout the AI development lifecycle.
The DevOps Engineer will lead technical troubleshooting, incident resolution, and Root Cause Analysis for complex AWS infrastructure. They will also design CI/CD pipelines and Infrastructure as Code modules to ensure reliable, automated, and efficient cloud operations.
You will evaluate and validate the reliability of AI agents and RAG systems by creating test scripts and performance metrics. Additionally, you will collaborate with engineers to build datasets and perform rigorous API and load testing to ensure system stability.
The role involves delivering automated UI and API test scripts while maintaining high code quality and framework standards. You will also collaborate within an Agile POD to participate in ceremonies, peer reviews, and technical documentation.
The Senior Technical Project Manager will anchor multi-stream project lifecycles and drive cross-functional alignment across engineering PODs and business initiatives. They are responsible for optimizing project governance, mitigating risks, and mentoring mid-level project managers to ensure delivery excellence.
Design and build scalable, high-availability back-end services and responsive front-end interfaces for enterprise-level applications. Lead feature delivery by optimizing database schemas, managing CI/CD pipelines, and collaborating with cross-functional teams to ensure system performance.
The Senior Python Backend Engineer will design and build scalable asynchronous microservices and orchestrate production-ready AI/GenAI integrations on AWS. They will also lead continuous improvement initiatives regarding code quality and mentor junior and intermediate peers.
You will architect and build high-throughput backend microservices and responsive frontend interfaces for an enterprise-grade Item Chain Management platform. The role involves owning end-to-end features, optimizing system performance, and collaborating with cross-functional teams to ensure high availability.
You will own the technical health and architectural evolution of mission-critical web application frontends. Responsibilities include leading React development, optimizing performance, and mentoring junior engineering team members.
The Lead QA Automation Engineer will architect enterprise-grade automation frameworks and drive end-to-end API testing strategies across microservices. They will also orchestrate continuous testing within CI/CD pipelines and mentor engineering teams to establish high-quality testing standards.
You will design and architect robust automated testing frameworks across UI and API layers to ensure high code quality and rapid delivery. Additionally, you will integrate these suites into CI/CD pipelines and collaborate with cross-functional teams to optimize performance and resolve complex technical bottlenecks.
You will design and scale robust data architectures while owning end-to-end data pipelines to ensure data trustworthiness. Additionally, you will lead architectural decisions and build production-grade data services to support Finance and Operations teams.
The HubSpot Administrator will architect and configure the CRM environment, including deal pipelines, custom objects, and automated workflows. They are also responsible for maintaining data integrity, managing system integrations, and delivering executive-level reporting to support revenue operations.
You will architect and build highly scalable backend microservices while optimizing big data streaming pipelines using cloud-native AWS services. Additionally, you will maintain reactive frontend components and ensure system reliability through observability and performance tuning.
The Program Manager will lead cross-functional delivery teams to ensure software development projects align with client business goals. They are responsible for managing the full delivery lifecycle, mentoring staff, and maintaining strong client partnerships.
The Data Product Manager will bridge business strategy with data architecture by translating organizational needs into actionable product roadmaps and analytics features. They are responsible for managing the product lifecycle, defining metrics, and ensuring the reliability and scalability of the reporting ecosystem.
The Senior Cybersecurity Engineer will design and deploy robust cloud security architectures while enforcing zero-trust policies across multi-cloud environments. They will also lead incident investigations, automate threat-detection pipelines, and collaborate with engineering teams to integrate DevSecOps practices.
The QA Automation Lead will design scalable automation frameworks and steer the transition from manual to automated testing across web, mobile, and API layers. They will integrate automated suites into CI/CD workflows and mentor engineering teams to improve overall software quality.
The role involves owning the quality assurance strategy and executing manual test plans across web, mobile, and API layers. You will identify defects, collaborate with automation engineers, and mentor junior QA staff to ensure system reliability.
Architect and optimize scalable data models and BI frameworks to turn complex data streams into actionable reporting ecosystems. Collaborate with cross-functional teams to design high-performance dashboards and ensure data quality across the organization.
Design and implement scalable backend systems and APIs to support e-commerce logistics and real-time inventory synchronization. Collaborate with stakeholders and the CTO to align technical execution with business strategies while mentoring team members.
The role involves designing and executing comprehensive automated test strategies for web applications, APIs, and microservices within AWS environments. You will validate AI-driven workflows and ensure the stability of aviation maintenance and supply chain platforms.
Own the quality assurance strategy and execute manual testing across web, mobile, and API layers for mission-critical applications. Collaborate with automation engineers to identify test cases for script transition and mentor junior QA staff.
Design and maintain scalable full-stack applications and microservices to support mission-critical aviation workflows. Lead the end-to-end development of responsive front-end interfaces and high-performance backend services.
Define and own the architectural strategy for an AI-powered aviation SaaS platform, focusing on intelligent automation and scalable cloud-native systems. Collaborate with cross-functional teams to translate business needs into technical blueprints and mentor engineering teams toward technical excellence.
Lead the design, development, and deployment of production-grade machine learning models and data pipelines for aviation software. Collaborate cross-functionally to transform complex datasets into scalable solutions and intelligent automation for global clients.
The role involves a 50/50 split between developing scalable product features using the Microsoft stack and architecting automation frameworks for continuous delivery. You will own the automation of builds, deployments, and testing infrastructure within a cross-functional Scrum POD.
Design and develop high-performance web applications using .NET and Blazor while leading the migration of legacy front-ends to modern architectures. Collaborate with cross-functional teams to translate high-level requirements into production-ready software within a Scrum environment.
The Senior QA Automation Engineer will lead the design and maintenance of automated testing frameworks for API, Web, and Mobile layers. They will also integrate these tests into CI/CD pipelines and mentor team members on modern quality methodologies.
The Delivery Director is responsible for leading and scaling the delivery organization while acting as a strategic technical partner for clients. This role involves overseeing project execution, mentoring team members, and ensuring high-quality delivery standards across all accounts.
The Senior Engineer will own the technical health and architectural evolution of critical Java backends, acting as the anchor for complex 3-tier architectures and SQL databases. Key duties include leading robust Java development, designing RESTful integrations, managing SQL environments, and elevating team output through mentorship and code reviews.
The Senior Engineer will lead the development of robust .NET architectures, ensuring high performance, security, and scalability for mission-critical backends. Key duties include designing RESTful integrations, managing SQL databases, and elevating team output through code reviews and mentorship.
The Senior QA Automation Engineer will own the quality strategy and automated testing framework for mission-critical applications, focusing on building scalable test suites across API, Web, and Mobile layers. This role involves driving a quality-first culture, identifying edge cases, reducing manual testing overhead, and mentoring other engineers on modern testing methodologies.
The engineer will design, build, and deploy end-to-end agentic AI prototypes to enhance the company’s procurement platform, architecting agent-based systems primarily using AWS-native services like Amazon Bedrock AgentCore. Responsibilities also include developing production-ready Python code, integrating solutions with other teams, and supporting deployment and monitoring via CI/CD pipelines.
Key responsibilities include designing and developing databases, creating schemas, and ensuring data integrity through efficient organization and indexing. The role also involves optimizing complex SQL queries, managing database systems like MySQL or PostgreSQL, and implementing security and backup strategies.
The MLOps Engineer will design, deploy, and maintain scalable and ethical autonomous AI systems. Key tasks include model deployment, cloud infrastructure management, automation of workflows, and ensuring compliance with security and ethical standards.
Lead the architectural design of complex agentic AI solutions and provide technical guidance to junior developers. Design and develop advanced agentic AI systems while ensuring adherence to ethical guidelines and regulatory standards.
