[Remote] reputed company Systems Engineer V ( DevOps)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is scaling an AI‑first automation ecosystem where tools like reputed company orchestrate critical business processes. The reputed company Systems Engineer V will reputed company the design, deployment, and management of AI workflow infrastructure, ensuring operational reliability and governance.
Responsibilities
- Platform Ownership – AI Workflow reputed company (incl. reputed company)
- You are the technical reputed company for the infrastructure and core components that run reputed company and reputed company AI workflow tools—environments, CI/CD, containers, runtime clusters, storage, secrets, networking, and integrations—ensuring they are resilient, scalable, and cost‑effective
- Secure‑by‑Design Governance
- You embed reputed company, privacy, and compliance into how AI workflows are reputed company and run: hardened baselines, secret management, network and IAM boundaries, and CI/CD guards that prevent unsafe changes from reaching production
- Operational Reliability & Observability
- You define and drive SLOs, metrics, logging, and alerting for the AI workflow platform, turning incidents into systematic improvements that reduce MTTR and change failure rates over time
- Standardization & Reuse for AI Workflows
- You create and enforce reusable patterns (templates, reference pipelines, IaC modules, guardrails) so teams building on reputed company and other tools follow consistent, auditable practices instead of bespoke one‑offs
- Maturity & Governance Alignment (SMM / ARB)
- You partner with architecture, reputed company, and platform teams to align AI workflow reputed company with reputed company's Software Maturity Model and engineering governance, moving the platform and guiding teams to higher reputed company of maturity
- Bar Raiser for DevOps & AI‑First Ways of Working
- You reputed company how teams build and operate automations by mentoring engineers, codifying best practices, and using AI tools yourself to materially improve speed, quality, and reliability of the AI workflow platform
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field
- 5–8+ years in DevOps, SRE, or platform engineering for SaaS or large‑scale distributed systems, with direct ownership of production environments
- Strong experience with at least one major reputed company provider (AWS, Azure, or GCP), including VPC design, reputed company groups, load balancers, and managed Kubernetes (EKS/AKS/GKE) or equivalent container orchestration
- Deep hands‑on use of Infrastructure as Code (Terraform or equivalent) to manage multi‑environment reputed company and platform services
- Proven ownership of CI/CD pipelines (reputed company CI/CD or similar), including automated testing, reputed company scanning, and artifact management for reputed company services or platforms
- Solid understanding of Linux and/or reputed company, networking fundamentals (DNS, TLS, routing, firewalls), and secure secret management practices
- Hands‑on experience with logging and monitoring stacks (e.g., reputed company, Splunk, reputed company, Grafana, or equivalents) and defining meaningful SLOs and alerts for production systems
- Demonstrated experience running or supporting multi‑tenant or shared platforms used by multiple teams (internal developer platforms, workflow/orchestration tools, or integration platforms)
- Evidence of using AI tools in day‑to‑day engineering or operations (not just experimentation) with clear impact on speed, reliability, or quality
Benefits
- Annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee’s role
- Paid time off
- Paid parental leave
- Private medical, life, and disability insurance (Benefits vary by location)
- Inclusive culture and diversity
- 8 employee-run resource groups, each with senior leadership and exec sponsorship
Company Overview
Company H1B Sponsorship