Senior Forward Deployed Engineer (DevOps/SRE)

Jobot; Pleasanton (CA); On-site; USD 300,000 - 350,000; Full time

Benefits offered by this job

Medical benefits

401(k) and commuter benefits

Free lunches and snacks

Equity participation

Mentorship from founders

Open door policy

Job summary

Jobot is seeking an experienced SRE/Platform Engineer to design and operate an AI-powered SRE platform across production and pre-production environments. You will drive reliability, security, and scalable cloud infrastructure while guiding customer implementations end-to-end.

The role requires 6+ years in SRE/DevOps, strong programming, and hands-on cloud + Kubernetes expertise. You will collaborate with founders and engineering teams to deliver high-impact outcomes and mentorship.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; or equivalent practical experience.
• 6+ years in SRE/DevOps or platform engineering with customer delivery experience.
• Strong programming experience in Python, Go, or Java.
• Hands-on with public clouds (AWS/Azure/GCP) and Kubernetes expertise.
• Experience with IaC (Terraform, CloudFormation) and CI/CD pipelines.

Responsibilities

• Implement and optimize AI-powered SRE platform for production and pre-production environments.
• Monitor deployments to maximize customer value and reliability.
• Identify resiliency issues, misconfigurations, and scaling challenges.
• Design scalable cloud infrastructure and govern security best practices.
• Lead customer-facing deployments and migrations with internal teams.
• Develop automation workflows and reference architectures for future deployments.

Skills

Python/Go/Java

SRE/DevOps leadership

Kubernetes

Infrastructure as Code

Cloud platforms (AWS/Azure/GCP)

Observability/Monitoring

CI/CD pipelines

API integration

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Terraform

CI/CD tools

Ansible

AWS/GCP/Azure

Job description

Salary: $300,000 - $350,000 per year

This Jobot Job is hosted by: Caitlyn Hardy

A bit about us

Backed by over $21M in capital from leading investors, they are building a next-generation AI product designed to transform how reliability engineering is done.

The founding team includes senior leaders and technical pioneers from industry giants like AWS, Cisco, VMware, and Gigamon - holding dozens of patents and having built critical systems at some of the most respected tech companies in the industry. This is a rare opportunity to join an early-stage team that’s solving tough technical problems in distributed systems, observability, and automation — all while shaping a product from the ground up.

Why join us

• Comprehensive medical, vision, and dental benefits.
• 401(k) plans and commuter benefits.
• Free lunches, snacks, and top-of-the-line espressos!
• Equity that could change your life.
• High-impact role with plenty of mentorship opportunities from founders and other coworkers
• Collaborative coworkers with high IQ and high EQ. No politics. No bureaucracy. Open door policy.

Responsibilities

• Implement and optimize an AI-powered Site Reliability Engineering (SRE) platform to meet customer needs across production and pre-production environments.
• Proactively monitor customer deployments to ensure customers maximize value from the platform.
• Identify latent reliability issues such as misconfigurations, deployment regressions, and scaling challenges within customer environments.
• Recommend best practices for implementing AI-powered SRE solutions.
• Plan, design, build, and maintain highly scalable, reliable, and efficient cloud infrastructure.
• Serve as the customer's technical advocate with internal engineering and product teams.
• Conduct post-incident reviews to identify root causes and implement preventative measures.
• Ensure security best practices are integrated into customer deployments.
• Train customer SRE, Operations, and Platform Engineering teams on platform usage and best practices.
• Lead enterprise migrations from legacy alerting, AIOps, and incident management platforms, including correlation rule migration, phased cutovers, and production go-live execution.
• Design, build, and optimize alert normalization and correlation policies using conditions, regular expressions, field extraction, and customized workflows.
• Integrate the platform with customer operational systems, including ITSM, collaboration, observability, source control, and documentation platforms.
• Validate and continuously improve AI investigation quality by tuning enrichment, root cause analysis accuracy, and investigation workflows.
• Build proactive monitoring for customer deployments to identify issues before they impact customers.
• Own customer-facing project communications, including executive status updates, SLA documentation, escalation management, and implementation tracking.
• Develop long-term technical relationships with senior engineering leadership.
• Own customer implementations from technical discovery through solution design, implementation, user acceptance testing, production go-live, stabilization, and ongoing optimization.
• Translate ambiguous customer requirements into clear technical designs, milestones, acceptance criteria, and execution plans.
• Design and implement AI-powered investigation and automation workflows with appropriate guardrails, governance, deterministic fallbacks, and human oversight.
• Develop reusable deployment modules, reference architectures, implementation guides, and operational runbooks to accelerate future deployments.
• Define customer success metrics, establish baselines, measure operational improvements, and demonstrate business value through KPIs such as MTTR reduction and operational efficiency.
• Capture customer feedback and recurring implementation learnings to influence future product development.
• Foster a culture of continuous improvement and technical excellence.

Qualifications

• Customer-focused with deep empathy for SRE, DevOps, Platform Engineering, and IT Operations teams.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 6+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or similar infrastructure-focused roles, including technical leadership or end-to-end customer delivery.
• Experience in Forward Deployed Engineering, Solutions Engineering, Technical Customer Success, or Professional Services is highly preferred.
• Strong programming experience in at least one language such as Python, Go, or Java.
• Hands-on experience with public cloud platforms (AWS, Azure, or Google Cloud Platform).
• Strong knowledge of Kubernetes, Infrastructure as Code (Terraform, CloudFormation, Ansible), and CI/CD pipelines.
• Practical experience using Generative AI and machine learning technologies to improve engineering productivity.
• Experience with observability platforms, ITSM systems, and incident management tools, including systems integration and data mapping.
• Strong troubleshooting, analytical, and debugging skills, including alert correlation, normalization, and regular expression development.
• Excellent written and verbal communication skills.
• Demonstrated ownership of enterprise software implementations from discovery through production deployment.
• Strong integration experience with APIs, webhooks, event-driven architectures, authentication (SSO/SAML), data transformations, synchronization, and enterprise application integrations.
• Experience designing and deploying production-grade AI or automation workflows with governance and evaluation frameworks.
• Understanding of enterprise security concepts including RBAC, encryption, identity management, auditing, and secure networking.
• Ability to operate effectively in ambiguous, fast-paced customer environments while balancing architecture with execution.
• Self-motivated, adaptable, and capable of managing shifting priorities while driving successful customer outcomes.

Preferred Qualifications

• Experience supporting customers operating AI infrastructure or AI-enabled platforms.
• Experience migrating customers from legacy alerting, AIOps, or incident management platforms.
• Experience building internal automation and tooling using Python, Node.js, Bash, or similar scripting languages.

Jobot is an Equal Opportunity Employer.

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