Haystack
← Back to Jobs
Technology
WT

Senior Principal SRE Architect

WaltaSoft TechnologiesDallas, TX🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This leadership role offers a unique opportunity to shape the future of operational resilience and architectural strategy at WaltaSoft Technologies, leveraging your deep expertise in cloud, DevOps, and AI. You'll thrive here if you're a seasoned architect passionate about driving innovation and leading impactful technical initiatives within a collaborative hybrid environment. Apply now to make a significant contribution to a respected industry leader.

Quick Overview

Seniority
Leader
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
1 week ago
AWSMachine LearningTCP/IPAzureDeep LearningGoogle CloudKubernetesPyTorchTensorFlow

Job Description

Job Title: Senior Principal SRE Architect

Location : Dallas or St Louis

This is a strategic and technical leadership role focused on operational resilience, automation, and architectural oversight.

Core Technical Skills

Full Stack & Architecture Expertise: Ability to provide guidance across front-end, backend, APIs, databases, and network layers.

Cloud Platforms & Infrastructure: Hands-on experience with major cloud providers (AWS, Azure, Google Cloud) and their AI-specific services. This includes knowledge of containerization, Kubernetes, and micro-services.

DevOps & CI/CD: Advanced knowledge of continuous integration/delivery pipelines, configuration as code, and deployment automation.

Observability & Monitoring: Proficiency in logging, alerting, dashboarding tools, and standards for operational readiness.

IT Service Management (ITSM): Strong understanding of ITSM practices and compliance frameworks.

Operational Readiness: Expertise in chaos engineering, production readiness, and risk mitigation strategies.

Network Concepts: Wireshark, TCP/IP, Routing Protocols, Firewalls, Load balancers, Proxies, FTP/SFTP, Automation & Scripting

Certificate management: Venafi, ECMS, CerTIS, OpenSSL, cipher suites

Machine Learning (ML) & Deep Learning: Deep understanding of various ML algorithms, neural networks, and frameworks such as TensorFlow, PyTorch

AI Architecture & Pipeline Planning: The ability to design the overall workflow and architecture for ML and deep learning workloads, considering scalability, fault tolerance, cost-efficiency, and security.

Similar jobs