Site Reliability Engineer
The SRE will lead incident response, define SLOs, and build automation to ensure platform reliability. They will also partner with engineering teams to implement scalability and observability patterns.
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The SRE will lead incident response, define SLOs, and build automation to ensure platform reliability. They will also partner with engineering teams to implement scalability and observability patterns.
Manage SaaS Kubernetes applications in AWS and support production customer environments. Collaborate with architects to design, deploy, and troubleshoot infrastructure engineering solutions for the TM platform.
You will manage SAAS Kubernetes applications in AWS and respond to event-driven alerts and incidents. Additionally, you will assist in developing automation and processes to improve operational SLAs while troubleshooting infrastructure and application issues.
The role involves designing, deploying, and maintaining the reliability and performance of critical systems across AWS and GCP. You will also manage production Kubernetes clusters, implement observability, and participate in incident response to ensure high availability.
You will architect, scale, and improve the reliability and performance of multi-region microservices and authentication infrastructure. Additionally, you will lead disaster recovery strategies, manage Kubernetes clusters, and drive observability to ensure high availability.
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The engineer will design, implement, and maintain secure cloud infrastructure on Azure and AWS while managing Kubernetes clusters for healthcare applications. They are also responsible for automating CI/CD pipelines, ensuring HIPAA/HITRUST compliance, and building robust monitoring and incident response frameworks.
The Technical Product Support Engineer will own customer support cases from triage to resolution, utilizing SQL to investigate data and product issues. They will collaborate with engineering teams to validate fixes and maintain accurate documentation for troubleshooting and knowledge base articles.
Lead the end-to-end solution architecture and design for scalable, secure, and modern enterprise-grade fintech applications. Collaborate with stakeholders and DevOps teams to implement microservices, event-driven workflows, and robust CI/CD deployment strategies.
Develop, maintain, and optimize scalable user interfaces using Unreal Engine and Blueprint scripting. Collaborate with cross-functional teams to integrate UI components with application logic while ensuring performance and accessibility standards.
Develop, verify, and validate system test cases for web and mobile applications while executing test plans and scripts. Collaborate with cross-functional teams including developers and project managers to resolve technical issues and ensure software quality.
You will review proposed coding tasks and programming environments to ensure they accurately reflect real-world engineering requirements. Additionally, you will provide technical feedback on the structure and difficulty of evaluation harnesses to improve test suite robustness.
The Technical Architect will lead end-to-end technical delivery for Dynamics 365 CE solutions, including design, development, and post-go-live support. They will also mentor developers, manage technical risks, and facilitate architecture workshops with clients.
Create educational tutorials and walkthroughs by screen-recording AI and SaaS tools based on provided creative briefs. Test platforms, settings, and workflows to ensure accurate demonstrations and deliver high-quality, publication-ready video content.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric while building reliable ETL/ELT processes. Collaborate with stakeholders to translate business requirements into technical solutions and optimize workflows for performance and cost.
Design and build full-stack web applications that integrate simulation technologies into customer engineering workflows. Collaborate with customers and internal teams to translate engineering requirements into scalable, containerized web solutions.
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You will own the technical vision and architecture for the hosting infrastructure, ensuring design decisions align with scalability, security, and maintainability goals. You will also be hands-on in scaling and securing the company's infrastructure while collaborating with engineering and product teams.
You will design, build, and support scalable AWS-based infrastructure using Infrastructure as Code and manage Kubernetes platforms with automated CI/CD pipelines. Additionally, you will lead migrations for tools like Jira and Confluence while implementing robust monitoring, logging, and database DevOps practices.
Design and implement security architectures for AI and machine learning workloads across AWS and Azure environments. Collaborate with cross-functional teams to conduct threat modeling, vulnerability management, and incident response for generative and agentic AI applications.
Develop and maintain scalable data pipelines using Snowflake, SQL, and Python to support data transformation and analysis. Monitor and troubleshoot data pipelines while optimizing SQL queries and Snowflake workloads for performance and cost efficiency.
The Staff Data Analyst will design dashboards, data models, and reports to provide actionable insights for the global Support Engineering organization. They will also lead AI adoption measurement, capacity planning, and predictive analytics to optimize performance and customer outcomes.
Serve as a liaison between clients and technical teams to define business requirements and translate them into functional specifications. Collaborate with development and testing teams to validate requirements, support UAT, and ensure solution readiness.
Design, develop, and maintain complex SSRS reports while ensuring scalability, performance, and adherence to coding standards. Collaborate with cross-functional teams to translate business requirements into technical specifications and provide ongoing support for system configurations.
You will take ownership of backend development within a mature Symfony platform and support the migration from Symfony 6.1 to 7. Additionally, you will collaborate with cross-functional teams to improve application performance, scalability, and maintainability across the full technology stack.
The Senior Statistical Programmer will perform data manipulation, analysis, and reporting for clinical trials while generating and validating SDTM and ADaM datasets. They will also communicate with cross-functional teams and clients to manage project specifications and submission documentation.
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The Frontend Engineer will build and maintain user interfaces, components, and libraries while ensuring technical feasibility and scalability. They will collaborate with designers and backend developers to optimize user experience and implement industry-standard development practices.
The role involves managing the reliability, health, and lifecycle of a large-scale Azure virtual machine estate. Responsibilities include automating infrastructure tasks, performing patching, managing backups, and resolving incidents through root cause analysis.
The engineer will own the health, reliability, and lifecycle management of the Azure virtual machine estate. They are responsible for implementing automation, managing backups and disaster recovery, and driving root cause analysis for infrastructure incidents.
Develop and maintain scalable backend services and applications using Java and Spring Boot. Collaborate with cross-functional teams to troubleshoot defects, perform code reviews, and contribute to high-quality software delivery.
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