Manager, Quantitative Analysis (McLean, Virginia)

NimbleRx, Inc. in Redwood City, California seeks a Software Engineer. Responsibility: Responsible for designing, building, and implementing software solutions to optimize and scale the Nimble platform and related technologies. Duties include: developing highly scalable software using innovative computer science and software engineering principles; creating product features and designing easy-to-use APIs, systems, and tools while ensuring proper protocols are in place to rapidly roll out upgrades and new features; developing a user-friendly interface using React, Java Spring, and PostgreSQL; building internal tools to support performance, reliability, and scalability; and other duties as assigned. Salary range $162,000 - $182,000. Eligible for standard benefits. Employee may be stationed anywhere within commuting distance of our Redwood City, CA office and will work in office 2 days per week. Education: Master’s degree in Computer Science, Software Engineering, or related field (or foreign equivalent). Requirements: 1 year of experience in the job offered or related. Other special requirements include: 1 year of experience working with Java, Ruby, Python, or similar programming languages; 1 year of experience developing API’s, services, and platform development; 1 year of experience developing user-facing applications using React, Flutter, or similar; and 1 year of experience working with distributed codebases on cross-functional teams. Please mail resumes to Attn: Eva Lee 2317 Broadway, Redwood City, CA 94063 quoting job #NIMSE25.

Job Title: Informatica Engineer Location: Fort Worth, TX (locals only) Mode of Work: Hybrid Yrs of exp: 6+ Any Visa   Description:   Infromatica Engineer POSITION Web/Mobile Developer Job Responsibilities This role is responsible for designing, coding, and modifying ETL processes using Informatica based on mappings from Source to Target applications. Experience in migration to Cloud Developer Job Duties - Participates in ETL Design of new or changing mappings and workflows with the team and prepares technical specifications. - Creates ETL Mappings, Mapplets, Workflows, Worklets using Informatica PowerCenter 10.x and prepare corresponding documentation. - Designs and builds integrations supporting standard data warehousing objects (type-2 dimensions, aggregations, star schema, etc.). - Performs source system analysis as required. - Works with DBAs and Data Architects to plan and implement appropriate data partitioning strategy in Enterprise Data Warehouse. - Implements versioning of the ETL repository and supporting code as necessary. - Develops stored procedures, database triggers and SQL queries where needed. - Implements best practices and tunes SQL code for optimization. - Loads data from SF Power Exchange to MongoDB database using Informatica. - Works with XML's, XML parser, Java and HTTP transformation within Informatica. - Works with Informatica Data Quality (Analyst and Developer) - Primary skill is Informatica PowerCenter - 5-7 years of experience. Developer Skills and Qualifications Informatica PowerCenter, Informatica Powerxchange. MongoDB, IMS , Relational Database Education/Experience • Bachelor’s Degree in computer science or equivalent training required • 5+ years’ experience required

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Data Scientist II positions offered by WarnerMedia Services, LLC (Burbank, CA). Work with managers and business stakeholders to fully understand business requirements and the desired outcomes of their science and analytics needs. Perform exploratory and predictive analysis with SQL, Python, R. Produce statistical and machine learning models that inform business initiatives. Offering salary range of $83,090 to $154,310 per year. Position reports to Burbank, CA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 8387489.

Infrastructure Automation & Management:   Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services. Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager. Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery to support development teams. CI/CD Pipeline Management: Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to GCP environments. Integrate CI/CD pipelines with GCP services like Cloud Build, Cloud Source Repositories, or third-party tools like Jenkins Ensure pipelines are optimized for faster build, test, and deployment cycles. Monitoring & Incident Management: Implement and manage cloud monitoring and logging solutions using Dynatrace and GCP-native tools like Stackdriver (Monitoring, Logging, and Trace). Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime. Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution.   Security & Compliance:   Implement security best practices for cloud infrastructure, including identity and access management (IAM), encryption, and network security. Ensure GCP environments comply with organizational security policies and industry standards such as GDPR/CCPA, or PCI-DSS. Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks. Collaboration & Support: Collaborate with development teams to design cloud-native applications that are optimized for performance, security, and scalability on GCP. Work closely with cloud architects to provide input on cloud design and best practices for continuous integration, testing, and deployment. Provide day-to-day support for development, QA, and production environments, ensuring availability and stability. Cost Optimization: Monitor and optimize cloud costs by analyzing resource utilization and recommending cost-saving measures such as right-sizing instances, using preemptible VMs, or implementing auto-scaling.   Tooling & Scripting: Develop and maintain scripts (using languages like Python, Bash, or PowerShell) to automate routine tasks and system operations. Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations. Required Qualifications & Skills: Experience: 3+ years of experience as a DevOps Engineer or Cloud Engineer, with hands-on experience in managing cloud infrastructure. Proven experience working with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others. Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible.   Technical Skills: Strong knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI, CircleCI, or GCP Cloud Build). Proficiency in scripting and automation using Python, Bash, or similar languages. Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes. Familiarity with GCP networking, security (IAM, VPC, Firewall rules), and monitoring tools (Stackdriver). Cloud & DevOps Tools: Experience with Git for version control and collaboration. Familiarity with GCP-native DevOps tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization. Understanding of DevOps practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting.   Security & Compliance: Knowledge of security best practices for cloud environments, including IAM, network security, and data encryption. Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI). Soft Skills: Strong problem-solving skills with the ability to work in a fast-paced environment. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Team-oriented mindset with the ability to work collaboratively with cross-functional teams. Certifications (Preferred): Google Professional Cloud DevOps Engineer certification (preferred). Other GCP certifications such as Google Professional Cloud Architect or Associate Cloud Engineer are a plus. DevOps certifications like Certified Kubernetes Administrator (CKA) or AWS/GCP DevOps certification are advantageous.

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