
1001 - 5000 employees
đź’Ľ Consulting
🤖 Artificial Intelligence
🏢 Enterprise
đź’° $5.7M Venture Round - AHEAD on 2024-05
Consulting • Artificial Intelligence • Enterprise
AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.
🔥 1 minute ago
🇺🇸 United States – Remote
đź’µ $140k - $160k / year
⏰ Full Time
đźź Senior
⛑ DevOps & Site Reliability Engineer (SRE)
đź‘» Ghost score 1%
Where this job comes from
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1001 - 5000 employees
đź’Ľ Consulting
🤖 Artificial Intelligence
🏢 Enterprise
đź’° $5.7M Venture Round - AHEAD on 2024-05
Consulting • Artificial Intelligence • Enterprise
AHEAD is a technology consulting and systems-integration firm that accelerates digital transformation by engineering integrated solutions across infrastructure, applications, data, and security. The company specializes in AI transformation and AI-enabled infrastructure, data platform and platform/workload modernization, secure and resilient architectures, operational excellence, and managed services including IT lifecycle and procurement (AHEAD Hatch) and hardware integration (AHEAD Foundry). AHEAD delivers end-to-end services from strategy and financial consulting to build and run operations, partners with major cloud and infrastructure vendors (AWS, Google Cloud, Microsoft, Cisco, Dell, VMware, NVIDIA, ServiceNow, Palo Alto Networks, Rubrik, etc. ), and serves enterprise clients across industries such as healthcare, financial services, manufacturing, retail, and public sector.
• Own and evolve AWS environments managed as infrastructure as code with CloudFormation • Build and maintain GitLab CI/CD pipelines from commit to production • Build observability in Datadog, including monitoring, alerting, dashboards, metrics, logging, and tracing • Strengthen security posture through IAM, least privilege, encryption, network boundaries, and SOC2 controls • Automate environment provisioning, deployments, and operational tasks • Participate in on-call rotation, lead incident response and postmortems, and drive corrective fixes • Troubleshoot live production issues across containers, runtimes, databases, and networks • Support Amazon RDS SQL Server and Aurora PostgreSQL databases, including performance, capacity, backups, and upgrades • Monitor and optimize platform cost and performance • Collaborate with software engineers to improve the developer platform • Mentor the team on operational excellence • Help build and run the AWS cloud foundation behind Hatch, Unity, and related services
• 5+ years in DevOps, platform, or infrastructure engineering • Deep hands-on AWS experience • Strong infrastructure-as-code skills; CloudFormation experience required, with Terraform or similar acceptable • Experience building and running CI/CD pipelines for production systems • Experience with observability tooling; Datadog preferred • Knowledge of IAM, encryption, network design, and least privilege • Experience supporting SOC2 or similar compliance programs is a plus • Experience running containerized workloads with Docker and Amazon ECS on Fargate • Kubernetes experience is a plus • Hands-on experience operating relational databases in production, ideally SQL Server and PostgreSQL on AWS • Experience debugging Elixir/BEAM or JVM services is a plus • Proficiency in at least one scripting language • Fluency with modern AI development tools and discipline to verify shipped work • Clear communication with engineers and non-technical stakeholders
• Medical, Dental, and Vision Insurance • 401(k) • Paid company holidays • Paid time off • Paid parental and caregiver leave • Cross-department training and development • Sponsored certifications and credentials for continued learning • Competitive salary • Work-life balance • Modern technology and AI tools • Autonomy to make a visible impact
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