Role Description We are seeking an experienced network automation script specialist to drive innovative test transformation. Your mission is to create an automation script framework that enables the development of new automation scripts that can seamlessly integrate into existing software development pipelines to intelligently verify PR code changes. This person will analyze existing network automation scripts and develop a list of automation script enhancements to optimize the verification phase of the product SDLC process. This includes using AI to design, develop, and enhance new and existing automation scripts. Experience with integrating agentic AI workflows into automation scripts to provide test failure problem determination and suggest possible remediations is a must. You will be part of a team that collaborates with the larger DevTestOps Team and software development teams to build an immersive, intuitive, robust, and full-featured control center for managing and operating world-wide network automation test infrastructure. The Test Automation Control Center will consist of a set of cloud-hosted applications controlling multiple physical on-prem systems distributed worldwide. Control capabilities cover scheduling, monitoring, analyzing, and reporting tests from the initial developer Pull Requests to the final release regression validation. Managed equipment includes the entire range of Celestica switches, high-performance IXIA traffic generators, and a variety of equipment commonly found in data center racks. You will use your knowledge of AI agents to integrate intelligent workflows that select the best automation test cases to run, diagnose test failures for rapid resolution, and analyze test coverage to provide predictive product quality assessment. You are someone who views a "test failure" not as a manual ticket to close, but as a data point for an AI agent to analyze. You prefer building ecosystems over writing one-off scripts, and you are comfortable investigating product failures one minute and integrating agentic AI agents into a CI/CD pipeline the next. Qualifications - Expert Development: Proven experience building complex automation script frameworks using extensive sets of common libraries. - Testing Infrastructure: In depth experience running, triaging, and debugging automation scripts. - Networking & Hardware Context: Familiarity with high-performance networking environments, specifically SONiC, OpenBMC, and data center hardware management. - AI/ML Application: Practical experience integrating AI agents or LLM-based workflows into software applications to automate decision-making and analysis. - Engineering Rigor: Deep understanding of test-driven development (TDD), CI/CD pipelines, and robust software engineering practices. - Systems Thinking: Ability to bridge the gap between cloud-hosted software and physical hardware distributed across global sites. Requirements - Infrastructure & SDLC Integration - Architect & Design: Lead the design and implementation of a robust automation script framework that enables AI to quickly create new automation scripts that will run within a confederation of Automation Testbeds. - Full-Stack Development: Maintain and enhance existing automation scripts to maintain hardened execution reliability. - AI Integration: Integrate agentic AI workflows to automate resolution of script failures. - End-to-End Visibility: Analyze script failures to identify software components that are below accepted reliability standards. - Collaboration: Work closely with DevTestOps and software development teams to ensure the control center provides services to engineers to assist with debugging and retesting updated scripts. Benefits - Salary range: 118K - 184K, including Base Salary and target Short-Term Incentive (STI) compensation. - Comprehensive benefits package offered in addition to the salary range. Physical Demands - Duties of this position are performed in a normal office environment. - Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. - Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. - Occasional travel may be required.

Role Description As the Software Engineer II, you will serve as a hands-on engineer and technical authority, spearheading the design and implementation of sophisticated learning and skilling solutions that enhance our Microsoft Skilling platforms. - Design, develop and maintain engineering infrastructure, tools, and services that power the Continuous Integration and Continuous Delivery/Deployment (CI/CD) for Microsoft Learning (Skilling) platform and services. - Develop software features for Skilling platforms, including: - Requirement gathering - Architecture - Application and database design - Development, testing, and deployment - Leverage AI and develop Copilot features within the application to enhance user experience and productivity. - Support and maintain existing services & integrations with Line of Business (LOB) applications across the enterprise. - Establish and enforce proficient practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability. - Improve the reliability and debuggability of test frameworks by integrating automation and gates. - Develop and utilize AI/LLM models to analyze test failures, identifying root causes such as test flakiness or infrastructure issues. - Transition manual testing efforts currently handled by vendor Directly Responsible Individuals (DRIs) into automated processes. - Optimize, debug, refactor, and reuse code to improve performance and maintainability. - Work across organizations and directly with partners both in WWL and across Microsoft. - Drive identification of dependencies and the development of design documents for security features. - Communicate across teams and resolve conflicts between teams. - Embody our culture and values. Qualifications - Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to C#, JavaScript, or Python OR equivalent experience. - Preferred Qualifications: - Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - 2+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures, micro-services and DevOps model. - 2+ years of experience coding in C#, .Net and React. - 2+ years of experience in building and deployment pipelines from scratch and using Infrastructure as Code (IaaC) templates such as Azure Resource Manager (ARM) templates or Bicep. - 2+ years of experience in Database development in Azure SQL, Cosmos DB, or Azure Data Factory (ADF). - Experience with Python, AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes. - Experience in developing applications using RESTful APIs, microservices architecture, ASP.NET, and Azure AI Foundry. - Knowledge of data structures, algorithms, and software design principles. - Experience in enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management. - Knowledge of tools like Azure DevOps or similar CI/CD platforms for integrating and managing test gates. - Production experience with two or more of the following domains: automated secret and certificate management, building private firewalled networks with VPNs, building and managing multiple automated K8s clusters, implementing a global multi-region tech stack, automating API gateways, or automated code first data pipelines (Azure Data Factory preferred). - Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, and Data Scientists. Requirements - Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. - There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Benefits - Certain roles may be eligible for benefits and other compensation. - Find additional benefits and pay information here .

Software Developer Location: Loveland, Colorado, USA Employment Type: Contract-to-Hire Work Arrangement: Fully Remote Salary: $40.00 – $60.00 per hour Job Description: Description The Software Engineer focuses on the development and support of custom applications and the integration and extension of Microsoft Dynamics 365 solutions. The ideal candidate will have a strong history in software engineering, experience with Microsoft Dynamics (CRM and/or F&O), and a passion for building scalable, maintainable enterprise solutions. - Ability to understand the diverse needs of internal and external customers, and to create experiences and deliver services that exceed their expectations - Proficient in programming with .NET (C#) or JavaScipt/Typescript - A desire and ability to use version control tools for development of software Skills c#, c-sharp, .net, .net10, javascript, swagger, typescript, rest api, ui, ui design, docker, azure, containerization, firewall, python, sql Top Skills Details c#,c-sharp,.net,.net10,javascript,swagger,typescript,rest api Additional Skills & Qualifications Microsoft PL-400: Power Platform Developer Associate. Specifics MESA internal tools: - .net10(version) - Automapper: take the model and show it to customers internal/external in user interface (UI) - Avalara Avatax: send data to calculate taxes - CC payments - Cybersource: payment platform - OpenApi: "Swagger ui" (Rest Api tool) "swashbucket" = .net implementation to Swagger ui - Entity Framework Core: connect app to database - object reltionship mapper - Quartz: toolkit to build ui webapps - Telnyx: integration to send texts Experience Level Intermediate Level Job Type & Location This is a Contract to Hire position based out of Loveland, CO. Pay and Benefits The pay range for this position is $40.00 - $60.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jul 16, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Role Description Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues. - Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows. - Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services. - Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm. - Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis. - Define observability best practices. Qualifications - Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure). - Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm). - Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying. - Deep understanding of containerization (Docker) and orchestration (Kubernetes). - Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows. - Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data. Requirements - Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines. - Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing. - Contributions to open-source observability projects. - Familiarity with security monitoring and compliance frameworks. Benefits - Competitive compensation. - Startup equity. - Health insurance. - Flexibility in terms of remote work. - The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.