• Perform structural/stress analysis using a combination of hand calculations and finite element analysis • Perform structural dynamic analysis, including rotor dynamics, torsional system dynamic analysis, and environmental equivalence. • Work with designers to incorporate analysis findings, influence load paths, and optimize structural designs for strength, weight, and manufacturability. • Analyzing failure modes, supporting test programs, and ensuring compliance with regulatory and customer requirements • Support structural testing, ensuring designs meet regulatory standards, and communicating findings to cross-functional teams. • Provide technical guidance on design concepts (risk vs. cost vs. performance) • Compile documentation of stress analysis to support the release of engineering drawings and documents • Support test execution and analyze test results to validate and verify that designs meet requirements and specifications

• Support the management of critical projects within an Agile Release Train (ART) • Guide and coach Agile Teams on Cotiviti and SAFe processes • Provide ART coaching and lead key ceremonies • Support the management of key reports for the IPM Teams • Help to coach & guide ART teams and stakeholders • Support RTE in facilitating PI Planning readiness • Assist tracking the execution of Program Objectives and features • Work with the Innovation Portfolio Management team on program execution

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? Why would you love this job? The Redis Cloud Operations team is hiring for a Site Reliability Engineer role, offering you the chance to work on large-scale systems and support our valued customers. You’ll operate state-of-the-art products using the most cutting-edge and best-in-class SRE tools. In this global role, you’ll participate in the monitoring, operation, and management of a Redis managed service at one of the world’s largest CSP. We’re looking for highly motivated team players with a keen attention to detail and substantial experience working in intense production environments. If you have a passion for tackling technical challenges on a global scale, this position is perfect for you. What you’ll do: As a Site Reliability Engineer at Redis, you will: - Handle Technical Escalations: Engage in complex troubleshooting and manage technical escalations within a Follow-the-Sun (FTS) support model, ensuring seamless global service coverage. - Ensure System Reliability: Leverage your software development and problem-solving expertise to create automation tools and runbooks, enhancing the reliability and stability of the Redis database on a leading cloud service provider. - Collaborate with Engineering Teams: Partner closely with engineering teams during service-impacting incidents, leading problem management efforts to maintain service continuity and stability. - Participate in On-Call Rotations: Be available for occasional weekend on-call shifts, providing critical support and ensuring service reliability. What will you need: - B.S. in Computer Science, Information Technology, Software Engineering, or a related field. - At least 4 or more years of experience working on infrastructure/CloudOps/SRE domains. - At least 3 years of experience troubleshooting real time production systems - At least 2 years of hands-on experience with cloud infrastructure. Strong working knowledge in Linux/Unix. - Deep understanding of networking (TCP/IP) with emphasis on the various cloud providers. - Experience with alerting and monitoring systems (Prometheus, Grafana, ELK, Splunk, etc.) - Experience in scripting languages but not limited to: Bash, Python - Familiarity with source code version control tools like Git, Gitlab, SVN, etc. - Experience with containerization technologies and concepts. - Experience using and maintaining deployment and configuration management tools (Github actions, Jenkins, Ansible, Chef, etc.). - Experience in analyzing and debugging production issues at scale. - Self-directed, ambitious, authentic, caring, and eager to learn new things. - Experience with 24/7 on-call duty. Availability to nights and weekends (follow the sun) Extra great if you have: - FedRAMP certification is a plus. - Experience working with large-scale distributed systems. - Experience with NoSQL databases (especially Redis). - Experience with infrastructure as code tools (Terraform, Pulumi, etc.) - Linux and cloud certifications As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

About Truelogic At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. Our Client A global technology and digital transformation firm that provides specialized software engineering and IT consulting services across diverse industries. They focus on delivering innovative, scalable solutions to help enterprise organizations navigate complex technological landscapes. Job Summary As a MLOps Engineer, you will bridge the gap between data science and production engineering by building, deploying, and optimizing scalable machine learning infrastructure. The ideal candidate is a Python expert with a deep understanding of the full ML lifecycle, capable of automating complex workflows and ensuring the reliability of enterprise-level models. You will be a key driver in implementing CI/CD best practices and robust monitoring systems to support high-impact machine learning initiatives in a remote-first, distributed engineering environment. Responsibilities - Design and maintain robust ML deployment pipelines to ensure seamless model delivery. - Automate model training, deployment, and monitoring workflows to increase operational efficiency. - Collaborate closely with Data Scientists and Engineering teams to integrate models into production environments. - Optimize cloud-based infrastructure to enhance the scalability and reliability of ML systems. - Implement CI/CD best practices specifically tailored for machine learning lifecycles. - Monitor production systems and proactively troubleshoot performance or governance issues. Qualifications and Job Requirements - Extensive experience as an MLOps Engineer or Machine Learning Engineer within production environments. - Advanced proficiency in Python. - Proven track record deploying, monitoring, and maintaining ML models at scale. - Hands-on experience with Docker and Kubernetes for containerization and orchestration. - Strong expertise in cloud platforms such as AWS, Azure, or GCP. - Deep understanding of model governance and the end-to-end ML lifecycle. - Experience with CI/CD pipelines for machine learning workflows is required. - Proficiency with ML orchestration tools such as Kubeflow, Airflow, or MLFlow is highly preferred. - Experience with Infrastructure as Code (IaC) using Terraform is preferred. - Familiarity with monitoring and observability tools in a distributed environment is a plus. - Experience with LLMOps or GenAI pipelines is a significant plus. - Background working with enterprise-scale infrastructure or within regulated, high-compliance environments is a plus. - Familiarity with managed platforms like Databricks, SageMaker, or Vertex AI is preferred. What We Offer - 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. - Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. - Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. - Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. - Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies. Why You’ll Like Working Here - A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally. - Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America. - Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field. Apply now!