DistantJob

Support Engineer

• Answer support requests that come in through phone, email, or our web portal—always with a friendly, helpful attitude
• Tackle issues efficiently to keep everyone productive and meet their response time commitments
• Figure out which problems need immediate attention and which can wait
• Use remote support tools to diagnose and solve problems from your desk
• Set up and configure computers, software, and network devices
• Make sure all workstations have up-to-date antivirus protection
• Perform regular maintenance on computers, printers, and other equipment to prevent problems before they start
• Keep each client's technology environment secure and compliant with company standards
• Work collaboratively with people across all departments
• Be the kind of IT person everyone feels comfortable reaching out to

Level 1 Support Technician

IT Support

• Remote Support: Remote troubleshooting as part of the primary help desk team. You will be troubleshooting Windows OS, desktop apps (O365, line-of-business), printing, VPN, and SSO (Entra ID, conditional access).
• Escalated Support: Handle Level 2 tickets escalated from Tier 1 technicians. This can include desktop, server, and network issues.
• User Management: Manage onboarding/offboarding, such as configuring user accounts in Active Directory, Microsoft 365, and Google Workspace licenses, device provisioning and MFA and app deployment.
• Server & Network Support: with Windows Server (2016–2025), Exchange, VPNs, firewalls, routers, and switches, LAN/WAN. Network triage: DHCP/DNS, site-to-site/remote access VPN, VLAN basics, firewall/SW/AP reboots and configuration checks (SonicWALL, Ubiquiti, Fortinet).
• Security & Patching: OS patches, antivirus updates. Assist with security monitoring and remediation. Email security hygiene: SPF/DKIM/DMARC checks, quarantine/release workflows (Proofpoint/Sophos or equivalents).
• Use Autotask, NinjaOne, and IT Glue.
• Maintain detailed ticket notes, update internal documentation, and contribute to the knowledge base.
• Work closely with senior engineers and project teams on deployments and escalations.
• Communicate efficiently with non-technical users by setting clear expectations and closing the loop.

Level 2 Help Desk Technician

Backend Engineer

• Guide engineering team in bringing a new SaaS solution to market through a Product-Led Growth strategy
• Write production-grade code while also providing technical leadership (~50% coding, ~50% leadership)
• Mentor and manage a distributed team of 8 experienced engineers
• Manage and coordinate remote/outsourced engineers (5-10 people)
• Translate business requirements into technical solutions and influence product direction
• Work within a C++/.NET stack with a .NET Core and Blazor UI layer, primarily in a Windows environment
• Participate in and improve CI/CD pipelines and agile development processes
• Provide structure and direction to experienced developers without micromanaging
• Attend daily standup at 9:15 AM PST and collaborate across time zones

Lead C#/.NET Developer

Full-stack Engineer

• Design, develop, and maintain scalable APIs and backend infrastructure for processing and delivering brand safety and content suitability data
• Build integrations with third-party advertising ecosystem platforms including DSPs, SSPs, and CDPs
• Deploy machine learning models and business logic into production environments
• Create and optimize client-facing JavaScript implementations for publishers, focusing on performance, privacy compliance, and cross-browser functionality
• Maintain data accuracy and integrity throughout all system layers
• Build and enhance web applications ensuring optimal functionality and user experience across the full stack
• Take ownership of complete product features from conception through deployment
• Design and manage database systems, optimizing performance while ensuring data security
• Perform code reviews, debugging, and troubleshooting to maintain software quality standards
• Utilize AI tools, models, and capabilities to enhance product offerings
• Research and implement emerging technologies, tools, and development best practices

Full Stack Engineer

DevOps Engineer

• Design, implement, and maintain secure, scalable cloud infrastructure for high-throughput, low-latency applications (mainly AWS, with flexibility for multi-cloud environments)
• Develop and enhance CI/CD pipelines for efficient, reliable, and consistent deployment processes (GitHub Actions and similar tools)
• Continuously identify and implement infrastructure improvements across the entire product ecosystem
• Architect and support serverless solutions using AWS Lambda, ECS Fargate, and event-driven architecture components
• Establish comprehensive monitoring, alerting, and logging frameworks to ensure system reliability and visibility
• Manage infrastructure-as-code implementations using CloudFormation, Terraform, and related tools
• Partner with development teams to determine infrastructure requirements, deployment approaches, and operational toolsets
• Oversee secrets management and identity systems utilizing AWS IAM and similar platforms
• Maintain compliance with security and privacy standards, including access controls, encryption protocols, and audit mechanisms
• Resolve production incidents across all service layers with a focus on rapid response and thorough post-incident analysis
• Create and maintain automated backup, disaster recovery, and failover systems
• Research and adopt emerging DevOps methodologies and technologies to enhance platform performance and reliability

Senior DevOps Engineer

Data Scientist

• Transform and organize complex retail transaction data, including receipt-level information and product catalog matching
• Operate effectively within SQL-constrained clean room environments for data analysis and processing
• Calculate incremental advertising impact on critical business metrics, including revenue and customer acquisition
• Implement both experimental (randomized controlled trials) and observational methodologies
• Deploy advanced causal inference techniques for longitudinal data analysis, including difference-in-differences, synthetic control methods, and variations
• Apply causal machine learning approaches such as double machine learning and other innovative techniques
• Design and structure controlled experiments where feasible
• Create reliable causal inference frameworks for scenarios where traditional experimentation isn't possible
• Translate complex technical findings into accessible insights for business stakeholders
• Collaborate directly with clients to understand business context, operations, and strategic objectives
• Explore and integrate novel data sources and analytical approaches to expand measurement capabilities