Senior DevOps Engineer
Design and manage automated CI/CD pipelines and cloud infrastructure to ensure smooth software delivery. Monitor system performance and implement DevSecOps best practices for reliability and security.
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Design and manage automated CI/CD pipelines and cloud infrastructure to ensure smooth software delivery. Monitor system performance and implement DevSecOps best practices for reliability and security.
Design, develop, and deploy high-volume, low-latency microservices using Spring Boot and Apache Kafka. Collaborate with cross-functional teams to deliver high-quality features and provide guidance to junior developers.
The Solutions Architect collaborates with sales teams to design and architect API management and integration solutions for clients. They are responsible for conducting technical demonstrations, preparing proposals, and ensuring seamless implementation through cross-functional teamwork.
The role focuses on platform engineering, automation, and managing AWS infrastructure for a large-scale gaming platform. Key duties include standardizing deployments, maintaining IaC with Terraform, and improving the developer experience through CI/CD optimization.
Lead the web development team in designing and writing scalable code and system architectures for high-volume web applications. Collaborate with the CTO, project managers, and designers to define tech stacks and ensure efficient backlog planning.
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Act as the primary technical advisor for strategic client accounts to drive the architecture and adoption of the Databricks Platform. Bridge the gap between high-level business requirements and technical delivery to maximize AI and data investments.
Design and implement scalable backend systems and AI-powered solutions to improve operational efficiency and automation. Lead the establishment of AI engineering capabilities, including architecture, tooling, and development standards.
Serve as the technical authority for the Cortex Cloud Windows endpoint agent, owning kernel- and user-mode components to ensure stability and security. Lead high-severity customer escalations through deep-system debugging and root cause analysis of system-wide outages or BSODs.
Serve as the technical lead for the design, development, and validation of flight-critical electro-mechanical actuation systems for aerospace platforms. Manage the full product lifecycle from concept through qualification and production, coordinating with cross-functional teams and suppliers.
Provide remote technical support for the selection, validation, troubleshooting, and integration of Festo electric automation systems. Collaborate across teams to maintain documentation and drive continuous improvement in support operations.
Build and lead the AI enablement and transformation practice, focusing on the design and deployment of agentic workflows and AI-native systems. Manage the practice's P&L, drive client development, and oversee the technical delivery of AI solutions.
Design and develop enterprise applications and financial management solutions using Microsoft Power Platform to modernize legacy budget tools. Implement workflow automation and integrate applications with various VA systems to improve operational efficiency.
Develop and maintain databases, dashboards, and automated reporting solutions to support executive decision-making for the Veterans Health Administration. Analyze healthcare and financial data to identify trends and improve organizational performance across national programs.
Lead the assessment of metadata systems to design and build a common metamodel and enterprise data model. Develop a metadata utility platform and integrate various data formats into a unified system while managing CI/CD deployment.
Leads the analysis of complex structured and unstructured data sets using advanced statistical methods to drive business decision-making. Responsible for managing cross-functional teams, developing custom algorithms, and providing technical mentorship to other data scientists.
Lead client-facing engagements from pursuit to delivery, focusing on project management and intensive data analysis for impactful recommendations. Drive practice development and provide mentorship and coaching to team members.
Build, train, and deploy high-performance computer vision and multimodal models from prototype to production. Design scalable data pipelines and optimize models for inference latency and throughput using advanced acceleration techniques.
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Define and validate end-to-end architectures and orchestrate batch processes and integration patterns. Lead technical decisions, manage project delivery, and coordinate between business and technology teams.
Build, train, and deploy high-performance computer vision and multimodal models from prototype to production. Design scalable data pipelines and optimize inference latency for large-scale visual understanding tasks.
Design and implement AI-native backend and fullstack systems incorporating LLMs and agentic workflows to solve healthcare product problems. Collaborate with product and design teams to evolve the platform toward an agent-driven future while ensuring system reliability and scalability.
Build and maintain the data infrastructure, including BI integrations, pipelines, and dbt models to provide actionable insights. Partner with GTM, marketing, CX, and engineering teams to translate business needs into reliable analytics assets.
Design, implement, and optimize software solutions within the Cyara portfolio to meet market needs and functional criteria. Responsibilities include developing scalable systems architecture, mentoring junior engineers, and integrating AI-driven development workflows.
Define and implement reliability strategies using SLIs, SLOs, and Infrastructure as Code to ensure high availability of cloud-native systems. Lead incident response, reduce operational toil through automation, and collaborate with development teams to optimize system architecture.
The role focuses on implementing and optimizing AI-powered capabilities to improve customer support scalability and efficiency. This includes translating business needs into technical AI solutions and monitoring performance metrics to drive continuous improvement.
Design and build analytic solutions to inform business decisions and measure clinical and financial outcomes. Partner with stakeholders to implement reporting technologies and evaluation frameworks using the Google tech stack and DBT.
Lead complex blockchain investigations to trace ransomware proceeds and identify threat actor infrastructure. Produce actionable intelligence reports and attribution assessments to support the disruption of cybercrime networks.
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Provide advanced technical leadership and Tier 2/3 support for enterprise desktop and laptop environments. Responsible for the deployment, administration, and maintenance of end-user technologies and software across a distributed organization.
Develop modern analytics and AI solutions using the Microsoft ecosystem, from data foundations to productive business use. Design scalable data platforms and implement Generative AI scenarios such as LLMs and RAG to support business decision-making.
The contractor will revise and update review manuals, course content, and quiz banks to align with the new PE Structural exam specifications. Responsibilities include performing technical reviews and collaborating with the team to ensure materials are comprehensive for the April 2027 exam.
The role focuses on implementing and optimizing AI-powered capabilities to improve customer support efficiency and scalability. This includes translating business needs into technical AI solutions and monitoring performance metrics to drive continuous improvement.
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