Role Description We are currently seeking a Remote Storage & Cloud engineer to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX). We are looking for a highly skilled and proactive Senior Storage & Cloud Engineer with deep expertise in Unix systems, distributed storage technologies, and cloud platforms. The role involves designing, managing, and decommissioning storage solutions across hybrid/cloud environments, while working closely with application development teams and leadership stakeholders. The ideal candidate will have strong technical depth, excellent communication skills, and the ability to manage work independently in a structured, process-driven environment. Key Responsibilities - Storage Architecture & Management - Design, implement, and manage enterprise storage solutions including: - NAS (Network Attached Storage) - NFS (Network File Systems) - Object storage platforms (e.g., S3-compatible solutions) - Perform storage capacity planning, performance tuning, and optimization. - Manage data lifecycle (provisioning, migration, archival, and decommissioning). - Ensure high availability, scalability, and resilience of storage platforms. - Unix/Linux Administration - Administer and troubleshoot Unix/Linux systems supporting storage environments. - Perform filesystem management, mount configurations, NFS exports, and permissions. - Optimize OS-level performance for storage-intensive workloads. - Cloud & Hybrid Infrastructure - Design and manage storage solutions across public cloud platforms (AWS/Azure/GCP). - Work with cloud-native storage services such as: - AWS S3 / EBS / EFS - Azure Blob / Files - GCP Cloud Storage - Lead or support migration of on-prem storage to cloud-based platforms. - Kubernetes & Container Storage - Implement and manage Kubernetes storage constructs: - Persistent Volumes (PV), Persistent Volume Claims (PVC) - Storage Classes - CSI (Container Storage Interface) drivers - Work with container-native storage solutions (e.g., Ceph, Portworx, OpenEBS). - Ensure reliable storage for stateful workloads running in Kubernetes clusters. - Decommissioning & Rationalization (Decom Plans) - Plan and execute storage and infrastructure decommissioning activities. - Collaborate with application development teams and leadership to: - Identify dependencies - Validate data migration or archival - Ensure zero data loss - Lead discussions and present decommissioning strategies clearly to stakeholders. - Monitoring, Troubleshooting & Optimization - Monitor storage utilization, performance metrics, and system health. - Troubleshoot issues related to latency, throughput, and data availability. - Use tools like Splunk, Prometheus, Grafana, or native cloud monitoring services. - Project Execution & Ownership - Independently manage assigned workstreams following defined processes. - Track deliverables, risks, and dependencies. - Ensure timely execution of storage-related initiatives and migrations. Qualifications - Expert-level knowledge of Unix/Linux systems - Strong experience with: - NAS, NFS, and distributed/object storage systems - Solid understanding of: - Cloud computing platforms (AWS/Azure/GCP) - Storage services and architecture in cloud environments - Good working knowledge of: - Kubernetes and container orchestration - Persistent storage in containerized environments - Familiarity with automation tools (Shell, Python, Ansible, Terraform) is a plus Requirements - 7+ years of experience in: - Storage systems AND Unix/Linux administration - 3+ years of experience in: - Cloud platforms and container ecosystems (Kubernetes preferred) - Storage migration, rationalization, or decommissioning projects - Experience with enterprise storage vendors (NetApp, Dell EMC, etc.) - Knowledge of backup & disaster recovery solutions - Certifications (optional but preferred): - AWS / Azure Cloud certifications - Kubernetes certifications (CKA/CKAD) - Storage-specific certifications Benefits - Negotiable salary - Grocery Tickets 12% of base salary - Saving fund - 30 days of Christmas bonus - 50% Vacation bonus - Medical insurance (You and your family) - Life insurance - Permanent home office

Role Description The Principal Cloud Engineer is a senior technical leader who pairs architectural vision with hands-on engineering execution. You will design and build the reference architectures, patterns, and standards that support Greystar’s global operations, then implement those designs yourself using modern cloud practices. This is not a role that stops at diagrams. This is the role that proves out patterns through working POCs, then enables the platform team to operationalize and scale them. You will partner closely with the Data, Digital, and AI (D2AI) team, where much of Greystar’s active cloud development happens today, while keeping a broader, enterprise-wide perspective. Much of that work is AI and data intensive, so a core part of this role is building the cloud foundation that Greystar’s AI and ML workloads run on, from accelerated compute and model serving to the Databricks data plane that powers them. We are looking for someone who thinks in cloud concepts rather than being tied to any single provider. The ideal candidate understands foundational principles - IAM, virtual networking, DNS, load balancing, compute, and storage - and can translate those concepts fluidly across Azure, AWS, or any platform our growing portfolio demands. This is an individual contributor role with a strong mentoring component. You will guide and elevate systems administrators and engineers across the team, helping them grow into more strategic thinkers themselves. In addition to your resume, all candidates are required to include a short video (2–5 min) demonstrating how you have used AI tools in your engineering workflow — code generation, debugging, architecture, documentation, or similar. We recommend recording with Loom (free) or uploading as an unlisted YouTube video. Please embed this link at the top of your resume. Applications without a video link will not be reviewed. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent professional experience. - 10+ years of progressive experience in cloud, infrastructure, or platform engineering, with at least 3 years in a senior or principal-level role. - Strong conceptual mastery of cloud computing fundamentals - IAM, VNets/VPCs, load balancing, DNS, compute, storage. - Deep hands-on experience with Azure private networking — hub-and-spoke topology, Private DNS zones, private endpoints, and network security controls. - Hands-on experience with Terraform or equivalent Infrastructure as Code tools (Bicep, CloudFormation). - Proficiency with Git-based version control and CI/CD pipeline design and management. - Experience with containerization technologies, particularly Docker. - Demonstrated ability to mentor and influence engineering teams without direct management authority. - Excellent communication skills with the ability to translate complex technical concepts and architectural decisions for diverse audiences. Requirements - Design and build reference architectures, design patterns, and technology standards that ensure consistency, security, and scalability across all environments. - Design, implement, and continuously improve Greystar’s private networking architecture, including hub-and-spoke topology, private endpoint strategy, DNS architecture, and network segmentation standards across all cloud environments. - Design and build Greystar’s container platform, delivering reference patterns for AKS and containerized workloads. - Design and implement cloud infrastructure solutions across multi-cloud environments (Azure, AWS), with an emphasis on reliability, security, and cost-efficiency. - Design and implement the infrastructure patterns for AI workloads and the Databricks data plane. - Partner closely with application development teams to help them move fast and safe. - Build and curate paved-road solutions: reference implementations, Terraform modules, pipeline templates, and starter architectures. - Champion and advance Infrastructure as Code (IaC) practices using Terraform. - Implement and maintain reliability standards the platform team operates against. - Build and maintain governance frameworks for cloud decisions. - Mentor and coach cloud and platform engineers. Benefits - Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. - Generous Paid Time off: 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. - 6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter). - 401(k) with Company Match up to 6% of pay after 6 months of service. - Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000. - Employee Assistance Program. - Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans. - Charitable giving program and benefits.

Role Description Advance your career while shaping the future of cloud operations that support GDIT enterprise environments. Step into the role of Azure Cloud Engineer at GDIT, where technologists are empowered to grow meaningful careers while continually evolving their skills. As an Azure Cloud Engineer, the work you do at GDIT directly strengthens the reliability, security, and scalability of GDIT’s cloud ecosystem. In this role, you will play a pivotal part in ensuring our operations are supported by resilient, high‑performing Azure and Oracle cloud services, enabling rapid delivery, secure operations, and continuous modernization. - Support Azure‑focused cloud engineering initiatives, ensuring stable, secure, and compliant cloud operations that directly enable organizational mission success. - Collaborate with cross‑functional teams including cybersecurity, application, and infrastructure partners to ensure cloud platforms align with mission and operational requirements. - Drive innovation in automation, cloud optimization, and operational efficiency to enhance service delivery, reduce downtime, and quickly resolve mission-impacting challenges. - Utilize advanced cloud engineering tools and technologies such as Azure CLI, PowerShell, IaC frameworks, Kubernetes, Oracle Cloud services, and supporting AWS capabilities to modernize and sustain the cloud environment. Qualifications - Education: Bachelor’s degree NOT required. An additional 4 years of equivalent experience OR an Azure Certification may substitute. - Experience: 8+ years of IT engineering experience, 12+ in lieu of no degree. - 5+ years hands-on experience managing Azure cloud operations. - Technical skills: Strong understanding of cloud architecture, security, and automation. - Experience with PowerShell, Python, JSON, YAML, Git, and cloud-native CLIs. - Experience working with serverless, Docker, and Kubernetes. - Windows and Linux OS experience. - Preferred Certs and Experience: Demonstrated experience with Oracle Gov Cloud Infrastructure (OCI), and AWS Gov infrastructure experience/certification. - US Person required. - Role requirements: Excellent communication and documentation skills. Ability to work in an on-call rotation as required. Benefits - AI-powered career tool that identifies career steps and learning opportunities. - An internal mobility team focused on helping you achieve your career goals. - Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. - Full-flex work week to own your priorities at work and at home. - Award-winning culture of innovation and a military-friendly workplace. Company Description We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Role Description We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch. We are looking for a Senior Python AI Engineer specialized in Generative AI to: - Design agent workflows - Optimize interactions with models (OpenAI, AWS Bedrock) - Ensure the reliability of non-deterministic systems in production Tech Stack: - Python (Asyncio) - FastAPI - LangChain - LangGraph - Pydantic - Elasticsearch - AWS Bedrock / OpenAI API - LangSmith Qualifications - Strong proficiency in modern Python - Deep understanding of asynchronous programming (asyncio) patterns - Experience with FastAPI and Pydantic (v2) - Production experience with LangChain - Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine based agent frameworks) - Strategies for handling LLM hallucinations and ensuring reliable outputs - Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) - Advanced strategies for managing limited context windows - Understanding the trade-offs between model size, latency, and cost Requirements - Reduce end-to-end latency through asynchronous processing and streaming (SSE) - Implement semantic caching strategies to minimize API costs and response time - Optimize token usage without sacrificing answer quality - Implement automated evaluation pipelines using LangSmith - Set up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment - Refine retrieval strategies - Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion Nice to Have - Experience with Elasticsearch (DSL queries, analyzers) - Knowledge of vector databases and embedding models - Background in FinTech or familiarity with financial data structures