Pavago

Build and scale automated end-to-end testing systems using Playwright and TypeScript integrated into CI/CD pipelines to ensure product quality. | Strong proficiency in TypeScript and hands-on experience with Playwright or Cypress for E2E testing frameworks, including knowledge of DOM interactions, network requests, and CI/CD integration. | QA Automation Engineer Location: Remote Working Hours: U.S. Business Hours Employment Type: Full-Time About the Role We’re hiring a QA Automation Engineer to build, maintain, and scale automated testing systems for a fast-growing, product-focused technology company. This is an automation-first engineering role focused on Playwright and TypeScript — not a manual QA position. You will work directly with frontend and backend engineers to improve product quality, strengthen regression coverage, eliminate flaky tests, and ensure reliable deployments across the development lifecycle. The ideal candidate is highly technical, ownership-driven, and experienced building scalable end-to-end automation frameworks in modern SaaS environments. If you enjoy solving complex testing challenges, improving framework reliability, and working closely with engineering teams in fast-paced product environments, this role is for you. What You’ll OwnEnd-to-End Test Automation • Build, maintain, and expand E2E automation coverage using Playwright and TypeScript • Develop scalable and maintainable automation frameworks for critical product workflows • Ensure strong regression coverage across frontend and backend systems • Write reliable, reusable, and performance-focused automated tests Test Stability & Framework Reliability • Identify, troubleshoot, and eliminate flaky tests • Improve test execution performance and framework stability • Diagnose issues related to asynchronous behavior, DOM interactions, and network requests • Maintain stable and reliable automation environments across releases CI/CD & Infrastructure Integration • Integrate automation suites into CI/CD pipelines for continuous testing • Ensure automated tests run efficiently within deployment workflows • Maintain test data strategies and reliable test environments • Support deployment confidence through automated quality validation Collaboration & Product Quality • Collaborate directly with frontend and backend engineers during feature development • Participate in release validation and quality planning discussions • Support engineering teams with testing strategy and automation best practices • Improve overall product reliability through proactive automation coverage AI-Assisted Testing & Optimization • Utilize AI tools to support exploratory testing and edge-case discovery • Identify opportunities to improve automation workflows through intelligent tooling • Continuously optimize testing processes for speed, reliability, and scalability What Makes You a Great Fit • You think like an engineer, not just a tester • You take ownership of automation systems and long-term framework stability • You enjoy solving reliability and scalability challenges • You are highly analytical and detail-oriented • You thrive in low-management, high-autonomy environments • You proactively improve systems instead of waiting for direction Required Experience & Skills • Strong proficiency in TypeScript • Hands-on experience with Playwright • Strong Cypress background is acceptable if willing to transition to Playwright • Proven experience building and maintaining E2E automation frameworks • Deep understanding of: • DOM interaction • Network requests • Asynchronous behavior • Diagnosing flaky tests • Experience integrating automated testing into CI/CD pipelines • Strong debugging and troubleshooting skills • Excellent written and verbal English communication skills Preferred Experience • Experience building automation infrastructure from scratch • Strong understanding of test data management strategies • Experience testing B2B SaaS products or multi-tenant systems • Familiarity with role-based access and permissions testing • Exposure to AI-assisted testing workflows and automation tools • Experience working in fast-moving startup or product-led environments What a Typical Day Looks Like A QA Automation Engineer’s day revolves around improving automation reliability, expanding test coverage, and supporting engineering velocity. You will: • Develop and maintain Playwright E2E tests • Review failed tests and diagnose instability issues • Improve framework performance and regression reliability • Collaborate with engineers on feature releases and test coverage • Maintain CI/CD automation workflows and test environments • Identify edge cases and improve automation coverage using AI-assisted workflows • Continuously optimize testing systems for speed, scalability, and reliability In short: you ensure the product ships quickly, safely, and reliably through scalable automation systems. Key Metrics for Success (KPIs) • Stability and reliability of automation frameworks • Reduction in flaky or failing tests • Increased automated regression coverage • Faster and more reliable CI/CD testing cycles • Reduced production bugs and release issues • Test execution speed and framework performance improvements Interview Process • Initial Screening Call (Pavago) • Technical Assessment / Automation Review • Client Technical Interview • Final Interview (Culture & Ownership Fit) • Offer & Onboarding #QAAutomation #Playwright #TypeScript #AutomationEngineer #SoftwareTesting #E2ETesting #RemoteJobs #SaaS #QualityEngineering #TechJobs

Build and scale AI-powered full-stack applications integrating LLMs and managing end-to-end pipelines. | 3+ years software engineering with Python, JavaScript, AI/ML frameworks, production ML deployment, cloud infrastructure, and CI/CD experience. | Full-Stack AI Engineer Position Type: Full-Time, Remote Working Hours: U.S. Business Hours Location: Remote (LATAM, Eastern Europe, Pakistan, India, South Africa Preferred) About the Role We are hiring a highly skilled Full-Stack AI Engineer to build, deploy, and scale AI-powered applications that solve real business problems. This role combines full-stack software engineering with applied AI/ML expertise. You will work across backend systems, AI pipelines, APIs, cloud infrastructure, and frontend applications to bring AI features from prototype to production. The ideal candidate is both technically strong and product-minded — someone who can move quickly, build scalable systems, and turn modern AI capabilities into reliable, user-friendly products. You will collaborate closely with engineering, product, and data teams to deliver AI-powered workflows, intelligent automation systems, chat experiences, analytics tools, and scalable machine learning infrastructure. What You’ll OwnAI & LLM Integration • Deploy and integrate AI/ML models using OpenAI, Hugging Face, TensorFlow, PyTorch, or similar frameworks • Build scalable APIs for AI inference using FastAPI, Flask, or Node.js • Develop retrieval-augmented generation (RAG) pipelines using Pinecone, Weaviate, FAISS, or vector databases • Implement embeddings, semantic search, and AI-powered workflows • Optimize inference performance, latency, and cost efficiency Full-Stack Application Development • Build frontend interfaces using React, Next.js, Vue, or modern JavaScript frameworks • Develop backend systems and APIs that connect AI models with business logic • Create user-facing AI features such as chatbots, copilots, dashboards, and automation tools • Ensure applications are responsive, secure, scalable, and production-ready • Build microservices and scalable backend architectures Data Engineering & Pipelines • Develop ETL pipelines for ingesting, cleaning, transforming, and managing datasets • Automate preprocessing, data labeling, and workflow orchestration using Airflow, Prefect, or Dagster • Manage structured and unstructured datasets in cloud environments • Maintain reliable pipelines for model training, fine-tuning, and evaluation Infrastructure, DevOps & MLOps • Containerize AI services using Docker and deploy applications using Kubernetes or cloud infrastructure • Build CI/CD pipelines for model deployments and application releases • Monitor model performance, drift, costs, and system reliability • Work with cloud platforms such as AWS, GCP, Azure, Vertex AI, or SageMaker • Improve scalability, uptime, and infrastructure efficiency Security, Compliance & Reliability • Implement secure API authentication, access control, and rate limiting • Ensure AI systems comply with GDPR, HIPAA, SOC 2, or related compliance requirements • Maintain monitoring, logging, and observability for production systems • Troubleshoot production incidents and optimize system reliability Collaboration & Product Development • Partner with product and data teams to define AI-powered product features • Translate AI prototypes into scalable production systems • Participate in sprint planning, technical discussions, and architecture decisions • Maintain clear technical documentation and reproducible workflows What Makes You a Great Fit • You are both a strong software engineer and a hands-on AI builder • You enjoy shipping AI-powered features that solve real-world business problems • You are comfortable moving from prototype to production independently • You think critically about scalability, performance, cost, and usability • You stay current with rapidly evolving AI tools, frameworks, and infrastructure • You communicate clearly and collaborate effectively across technical and non-technical teams Required Experience & Skills • 3+ years of software engineering experience with AI/ML exposure • Strong proficiency in Python and JavaScript/TypeScript • Experience with AI/ML frameworks such as PyTorch or TensorFlow • Experience deploying ML or LLM systems into production environments • Strong frontend experience with React, Next.js, or Vue • Experience building APIs and backend services • Strong SQL skills and experience with cloud data platforms • Familiarity with Docker, CI/CD pipelines, and cloud deployments Preferred Experience • Experience building AI-powered SaaS platforms or automation products • Experience with LLM fine-tuning, embeddings, and RAG systems • Familiarity with vector databases and semantic search infrastructure • Experience with MLOps tools such as MLflow, Kubeflow, Vertex AI, or SageMaker • Knowledge of microservices, serverless architectures, and distributed systems • Experience optimizing inference cost and performance at scale What a Typical Day Looks Like A Full-Stack AI Engineer’s day revolves around building production-ready AI systems and scalable applications. You will: • Build and optimize AI-powered APIs and backend services • Develop frontend interfaces for AI-driven experiences and workflows • Maintain data pipelines and model integration systems • Monitor production environments for performance, uptime, and cost efficiency • Collaborate with engineering and product teams to prioritize and ship AI features • Troubleshoot system bottlenecks and continuously improve scalability and reliability In short: you help transform AI capabilities into scalable, production-grade products that drive real business impact. Key Metrics for Success (KPIs) • Successful deployment of AI-powered features on schedule • Application uptime and infrastructure reliability maintained at high standards • Fast and stable inference performance for production endpoints • Reduction in manual workflows through AI automation • Strong adoption and usage of AI-powered product features • Scalable, maintainable, and cost-efficient system architecture Interview Process • Initial Phone Screen • Video Interview with Pavago Recruiter • Technical Assessment (AI API + Full-Stack Integration Exercise) • Client Interview with Engineering Team • Offer & Onboarding #AIEngineer #FullStackDeveloper #MachineLearning #LLM #ArtificialIntelligence #Python #React #OpenAI #RAG #MLOps #RemoteJobs #SoftwareEngineering

Build and scale web applications and cloud infrastructure, lead architecture decisions, and mentor engineers. | 5+ years full-stack experience with JavaScript/TypeScript, React, Node.js, cloud deployments, and database management. | Job Title: Senior Full Stack Software Engineer (Product & Infrastructure) Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for sprint planning, deployments, and on-call coverage) About the Role Our client is seeking a Senior Full Stack Software Engineer to build, scale, and maintain modern web applications and the infrastructure that powers them. This is a highly technical, hands-on role focused on full-stack product development, cloud infrastructure, system reliability, and engineering excellence. You will work across front-end interfaces, back-end services, cloud infrastructure, CI/CD pipelines, and system monitoring to deliver reliable, scalable, and high-performing applications. Beyond shipping features, this role also involves mentoring developers, contributing to architecture decisions, and improving long-term platform stability and maintainability. The ideal candidate is a strong end-to-end engineer who thrives in fast-paced product environments and enjoys balancing speed, scalability, reliability, and technical quality. ResponsibilitiesFront-End Development • Build modern, responsive user interfaces using React, Angular, or Vue • Translate Figma or Sketch designs into pixel-perfect, production-ready experiences • Optimize applications for performance, accessibility, and responsiveness • Build reusable UI components and scalable front-end architecture • Ensure compatibility across browsers and devices Back-End Development • Develop and maintain RESTful and GraphQL APIs using Node.js, Python (Django, Flask, FastAPI), or Java • Build secure authentication and authorization systems with role-based access control • Design and optimize database schemas and queries across PostgreSQL, MySQL, and MongoDB • Implement scalable server-side business logic and integrations • Improve application reliability, scalability, and performance Infrastructure & Cloud Engineering • Deploy and manage applications on AWS, GCP, or Azure • Configure and maintain CI/CD pipelines using GitHub Actions, Jenkins, CircleCI, or equivalent tools • Manage containerized environments using Docker and Kubernetes • Monitor infrastructure performance, reliability, and deployment health • Support scalable cloud-native architecture and deployment practices Testing & Engineering Quality • Write unit, integration, and end-to-end tests using Jest, Mocha, PyTest, Cypress, or similar frameworks • Maintain high automated test coverage and engineering quality standards • Conduct peer code reviews and enforce clean coding practices • Troubleshoot production issues and performance bottlenecks efficiently Monitoring, Reliability & Security • Monitor systems using Datadog, New Relic, Grafana, Prometheus, or similar tools • Implement logging, alerting, and observability best practices • Apply secure coding principles aligned with OWASP Top 10 standards • Ensure systems comply with GDPR, SOC 2, HIPAA, or other relevant compliance requirements • Support uptime, resiliency, and disaster recovery initiatives Collaboration & Technical Leadership • Collaborate with product managers and designers to turn requirements into scalable technical solutions • Lead technical discussions and contribute to architecture planning • Mentor junior and mid-level engineers through reviews, guidance, and pairing • Contribute to long-term technical roadmaps and engineering standards • Participate actively in sprint ceremonies, planning, and technical estimation What Makes You a Perfect Fit • Strong full-stack engineer capable of owning features end-to-end • Experienced in scaling systems and improving infrastructure reliability • Hands-on problem solver who thrives in technical environments • Strong communicator who collaborates effectively across teams • Balances rapid execution with maintainable architecture and code quality • Passionate about mentoring and improving engineering culture Required Experience & Skills • 5+ years of professional full stack software engineering experience • Strong proficiency in JavaScript/TypeScript with React and Node.js • Experience with relational and NoSQL databases (Postgres, MySQL, MongoDB) • Hands-on cloud deployment experience using AWS, GCP, or Azure • Strong understanding of Git workflows and CI/CD pipelines • Experience building APIs, scalable applications, and production systems • Strong debugging, optimization, and troubleshooting skills Ideal Experience & Skills • Experience leading architecture reviews and technical design sessions • Familiarity with Infrastructure-as-Code tools (Terraform, Pulumi, CloudFormation) • Background building SaaS or high-traffic applications • Experience with microservices, event-driven systems, or serverless architectures • Familiarity with Kubernetes orchestration and distributed systems • Exposure to observability, performance engineering, and cloud cost optimization What Does a Typical Day Look Like? A Senior Full Stack Software Engineer’s day revolves around building features, improving infrastructure, and ensuring system reliability. You will: • Join standups and align with engineering and product teams on sprint priorities • Build full-stack features across APIs, databases, and front-end interfaces • Review pull requests and mentor engineers through technical feedback • Investigate and resolve bugs, outages, and performance bottlenecks • Collaborate with product managers and designers on implementation strategies and UX flows • Deploy updates through CI/CD pipelines and monitor infrastructure health • Contribute to technical planning, architecture decisions, and platform improvements In essence: you are both a hands-on builder and technical leader, ensuring systems remain scalable, reliable, secure, and continuously improving. Key Metrics for Success (KPIs) • Features delivered on time and aligned with technical specifications • Application uptime ≥ 99.9% • High code quality and maintainable architecture standards • Automated test coverage maintained at ≥80% • Reduced technical debt and improved platform reliability • Fast resolution of production issues and infrastructure incidents • Positive peer feedback and successful mentoring of junior engineers Interview Process • Initial Phone Screen • Video Interview with Pavago Recruiter • Technical Assessment (Full Stack Exercise or Architecture Case Study) • Client Interview(s) with Engineering Team • Offer & Background Verification #FullStackEngineer #SoftwareEngineer #ReactJS #NodeJS #CloudEngineering #AWS #TypeScript #BackendDevelopment #FrontendDevelopment #DevOps #Kubernetes #CI_CD #RemoteWork #SaaS #EngineeringJobs

Design, build, and scale API-driven systems and user-facing applications with automation and AI integration. | Proficiency in Python and JavaScript/TypeScript, experience with API orchestration, modern frontend frameworks, and strong problem-solving skills. | Software Engineer (Python, JavaScript, APIs, React, AI) – Remote | U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Business Hours (flexible collaboration) About the Role We’re hiring a Software Engineer to design, build, and scale API-driven systems, workflows, and user-facing applications. This role sits at the intersection of: Backend development Frontend interfaces API integrations Workflow automation Emerging AI technologies You’ll join a fast-growing company (150%+ YoY growth) where engineers are expected to: 👉 Build scalable systems 👉 Improve workflows 👉 Contribute to product and technical decisions What You’ll OwnAPI Development & Integration Build and maintain API integrations and backend services Ensure reliable communication between systems Troubleshoot and resolve API-related issues Improve performance and stability of integrations Workflow Automation & Optimization Design and improve automated workflows Connect systems across operations, product, and backend Reduce manual processes through scalable solutions Frontend & UI Development Build and enhance user interfaces using modern frameworks Collaborate with product and design teams Deliver clean, responsive, and user-friendly experiences Innovation & AI Implementation Explore and implement AI-driven solutions Experiment with new tools, frameworks, and workflows Improve engineering efficiency through automation and innovation Cross-Functional Collaboration Work closely with: Product Operations Engineering teams Contribute ideas to improve systems and architecture Participate in sprint planning, debugging, and solution design What Makes You a Strong Fit Strong problem-solving mindset Comfortable working across backend, frontend, and APIs Curious and excited about AI and new technologies Thrives in fast-paced, evolving environments Communicates clearly with both technical and non-technical teams Proactive — you don’t just execute, you improve systems Requirements (Must-Have)Core Technical Skills Experience with programming languages such as: Python JavaScript / TypeScript Java (optional) Understanding of API development and integrations Basic frontend knowledge: HTML CSS Familiarity with modern frameworks such as: React Angular Strong problem-solving and debugging ability Development Experience Exposure to: Backend systems Frontend development API orchestration Ability to work in a deadline-driven, agile environment Strong communication skills in English Nice to Have Experience with: React / Angular (frontend frameworks) Node.js / Flask (backend frameworks) Familiarity with: Selenium Playwright Experience in: Workflow automation System optimization Exposure to: AI tools or integrations Experience in high-growth startups or scaling teams Tech Stack (Typical) Python / JavaScript / TypeScript React / Angular Node.js / Flask REST APIs & integrations Automation tools (Selenium, Playwright) AI tools and APIs What a Typical Day Looks Like Review tasks, API workflows, and sprint priorities Build and optimize backend services and integrations Develop or improve frontend interfaces Collaborate with teams to solve technical challenges Debug API or performance issues Explore new tools and AI solutions Document updates and deployments In short: You build and improve the systems that power the company’s core operations and products. Key Metrics (KPIs) Stability and performance of APIs Reduction in manual workflows through automation Code quality and system reliability On-time delivery of development tasks Team collaboration and satisfaction Contribution to innovation and improvements Interview Process Initial Phone Screen Technical Interview (Recruiter / Engineering Lead) Practical Task (coding or API workflow exercise) Client Interview Offer & Background Verification Apply Now If you’re an engineer who enjoys building systems, solving real problems, and working across APIs, frontend, and automation, this role gives you the opportunity to do exactly that. Apply now and help scale a high-growth, innovation-driven engineering team.

Build financial models and dashboards to convert complex data into actionable business insights, perform variance analysis and forecasting, and collaborate cross-functionally to support strategic decisions. | Requires over 2 years experience in financial analysis or data analytics with proficiency in SQL, advanced Excel, and BI tools like Tableau or Power BI. | Financial Analyst / Data Analyst – Remote | SQL, Excel, BI Tools | U.S. Hours Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours About the Role We’re hiring a Financial Analyst / Data Analyst to turn complex data into clear, actionable insights that drive business decisions. This role sits at the intersection of finance, data, and strategy — you’ll build models, analyze performance, and create dashboards that leadership relies on daily. If you’re someone who can connect numbers to real business impact, this is where you thrive. What You’ll OwnFinancial Modeling & Analysis Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow) Perform scenario analysis, sensitivity modeling, and forecasting Analyze ROI, IRR, break-even points, and investment performance Support strategic decision-making with data-backed financial insights Data Analysis & Insights Query and analyze datasets using SQL Clean, structure, and transform data using Python, R, or Excel Perform variance analysis (actual vs. forecast vs. budget) Identify trends, risks, and opportunities across datasets Reporting & Dashboards Build dashboards using: Tableau Power BI Looker Prepare monthly reports, executive summaries, and board decks Ensure reporting is consistent, accurate, and easy to interpret Forecasting & Budgeting Support FP&A processes and rolling forecasts Integrate real-time performance into financial projections Help improve forecasting accuracy and business planning Data Quality & Governance Validate data sources and ensure consistency Document models, assumptions, and methodologies Maintain clean, reliable datasets for decision-making Cross-Functional Collaboration Partner with finance, operations, sales, and leadership Translate data into clear, actionable business insights Support key decisions with structured analysis What Success Looks Like Leadership trusts your numbers and insights Forecasts are accurate and actionable Dashboards are clear, reliable, and used daily Business decisions are driven by your analysis Data quality and reporting consistency improve over time What Makes You a Strong Fit Analytical thinker who simplifies complex data Detail-oriented with high accuracy standards Strong communicator (not just numbers — insights) Comfortable working with large datasets and ambiguity Proactive in identifying trends and opportunities Requirements (Must-Have)Experience 2+ years in: Financial Analysis FP&A Data Analytics Core Skills Advanced Excel / Google Sheets: Pivot Tables INDEX/MATCH Data modeling Strong SQL skills (queries, joins, data extraction) Experience with financial reporting and variance analysis Technical Stack BI Tools: Tableau Power BI Looker Data tools: SQL Excel / Google Sheets Nice to Have Python or R for data analysis Experience with ERP systems: NetSuite SAP Oracle Industry experience: SaaS Finance Healthcare Experience building executive dashboards What a Typical Day Looks Like Pull and clean data from SQL or ERP systems Update financial models with new data Run scenario and variance analysis Build or refine dashboards for leadership Present insights and recommendations to stakeholders In short: You turn raw data into clear insights that drive business decisions. Key Metrics (KPIs) Forecast accuracy (±5–10%) Timely reporting delivery Dashboard reliability and usability Data accuracy and consistency Leadership satisfaction with insights Interview Process Initial Phone Screen Video Interview with Recruiter Practical Task (model or dashboard) Client Interview Offer & Background Verification Apply Now If you’re someone who enjoys working with data, building models, and influencing decisions through insights, this role gives you direct impact on business strategy. Apply now and become the bridge between data and decision-making.

Provide technical troubleshooting and support for SaaS platforms and internal systems while managing ticket resolution and collaborating with engineering. | Requires 1-2+ years technical support experience with proficiency in Zendesk and Jira and strong English communication skills. | Tech Support Specialist (SaaS, Helpdesk, IT Support & Troubleshooting) – Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role At Pavago, one of our clients is hiring a Tech Support Specialist to provide technical troubleshooting and support across SaaS platforms, internal systems, hardware, and customer-facing applications. This is a hands-on support role focused on: Technical troubleshooting Ticket resolution SaaS support operations User onboarding & access management Knowledge base documentation Customer support and issue escalation You’ll act as the frontline technical resource helping customers and internal users resolve issues quickly, professionally, and efficiently. If you enjoy: solving technical problems troubleshooting systems helping users navigate software issues working in fast-paced support environments this role is a strong fit. What You’ll OwnTechnical Support & Troubleshooting Respond to technical support requests through platforms such as: Zendesk Freshdesk Jira Service Desk ServiceNow Troubleshoot: login issues password resets connectivity problems SaaS platform errors browser and system-related issues Resolve Level 1 & Level 2 support requests Guide customers through troubleshooting steps using simple, non-technical language Ensure users feel informed and supported throughout the resolution process Ticket Management & Escalation Prioritize incoming tickets based on: urgency SLA requirements business impact Escalate complex issues to: Tier 2/3 Support DevOps Engineering teams Document: troubleshooting steps findings reproduction details escalation notes Maintain clean and accurate support documentation Basic System Administration Support: user provisioning account setup password resets permissions management Assist with: onboarding offboarding access control workflows Support: Windows macOS Linux environments Knowledge Base & Documentation Create and maintain: FAQs troubleshooting guides internal support documentation Identify recurring issues and document solutions Improve first-contact resolution rates through stronger documentation and workflows Monitoring & Issue Detection Use monitoring tools such as: Datadog Splunk New Relic Monitor alerts and identify recurring technical issues proactively Report trends and recurring incidents for long-term resolution and process improvement Cross-Functional Collaboration Work closely with: QA Product Engineering DevOps teams Report: bugs feature requests customer pain points Share customer feedback to improve product functionality and support operations What Makes You a Strong Fit Calm and professional under pressure Strong troubleshooting and problem-solving mindset Excellent communicator with empathy and patience Detail-oriented with strong documentation habits Comfortable working independently in remote support environments Focused on both technical resolution and customer experience Requirements (Must-Have)Experience 1–2+ years of experience in: Technical Support IT Helpdesk SaaS Support Customer-Facing Troubleshooting Technical Skills Experience with: Zendesk Jira ServiceNow Freshdesk Familiarity with: SaaS platforms networking basics operating systems Comfortable managing multiple systems and support queues simultaneously Communication Skills Strong written and verbal English communication Ability to explain technical issues clearly to non-technical users Strong multitasking and organizational skills Nice to Have CompTIA A+ or Network+ certifications Experience supporting: APIs SaaS integrations cloud-based platforms Familiarity with: Datadog Splunk New Relic Background in: SaaS IT services technical customer support Tools & Platforms Zendesk Jira Service Desk ServiceNow Freshdesk Datadog Splunk New Relic SaaS & cloud-based platforms What a Typical Day Looks Like Review support queues and prioritize urgent tickets Troubleshoot SaaS and technical support requests Resolve customer and internal system issues Escalate complex problems with detailed documentation Update FAQs and support documentation Collaborate with engineering and product teams on bugs and improvements Monitor support metrics and identify recurring issues In short: You are the first line of technical support — helping users stay productive while ensuring issues are resolved quickly, clearly, and professionally. Key Metrics for Success (KPIs) First Response Time (FRT) within SLA First Contact Resolution (FCR) rate Reduced Average Resolution Time (ART) Customer Satisfaction (CSAT) scores Reduced recurring ticket volume Consistently updated documentation and knowledge base quality Why This Role Stands Out Exposure to modern SaaS and support environments Opportunity to work with: support systems monitoring tools cloud platforms technical troubleshooting workflows Strong growth path into: Tier 2 Support Systems Administration DevOps Customer Success Engineering Remote flexibility with collaborative technical teams Opportunity to improve systems, documentation, and support operations Interview Process Initial Phone Screen Video Interview with Pavago Recruiter Practical Troubleshooting Exercise Client Interview with Support / Engineering Leadership Offer & Background Verification Apply Now If you: enjoy solving technical problems thrive in customer-facing support environments communicate clearly under pressure want hands-on experience with SaaS and technical systems this is a strong opportunity to grow within technical support and modern SaaS operations.