Senior Forward Deployed Engineer - META

Jobgether • Eastern Region
Remote
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AI Summary

Jobgether seeks a Senior Forward Deployed Engineer - META to lead technical engagements with strategic enterprise customers, shaping adoption and scaling of complex DevSecOps and AI-driven capabilities.

Key Highlights
Lead deep technical engagements with strategic enterprise customers
Design end-to-end architecture and deployment strategies
Architect self-managed and hybrid deployments
Key Responsibilities
Conducting in-depth technical discovery
Designing end-to-end architecture and deployment strategies
Building prototypes, proofs of concept, and reusable technical accelerators
Technical Skills Required
Ruby on Rails Go GitLab CI/CD Terraform Ansible Helm Distributed systems APIs CI/CD pipelines System design principles
Benefits & Perks
Fully remote work
Equity compensation
Flexible paid time off and parental leave policies

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Forward Deployed Engineer - META in Saudi Arabia.

This role sits at the intersection of advanced software engineering, enterprise architecture, and customer-facing problem solving. You will work directly with strategic customers across complex environments, helping them adopt and scale a leading DevSecOps and AI-enabled platform. The position blends hands-on engineering with solution design, requiring you to navigate regulated, self-managed, and large-scale enterprise deployments. You will translate real-world customer challenges into durable technical solutions, reusable assets, and architectural patterns that scale beyond a single engagement. Working closely with product, engineering, and customer teams, you will influence both adoption outcomes and long-term platform evolution. This is a high-impact, high-visibility role where technical depth and customer empathy go hand in hand.

Accountabilities

Responsibilities

In this role, you will lead deep technical engagements with strategic enterprise customers, shaping how they adopt and scale complex DevSecOps and AI-driven capabilities. You will operate across discovery, architecture design, implementation guidance, and solution acceleration while ensuring alignment between customer needs and platform capabilities. Key responsibilities include:

  • Conducting in-depth technical discovery to assess customer environments, constraints, and adoption opportunities
  • Designing end-to-end architecture and deployment strategies for complex enterprise and regulated environments
  • Building prototypes, proofs of concept, and reusable technical accelerators across CI/CD, security, and AI workflows
  • Architecting self-managed and hybrid deployments, including runners, governance, observability, and integration layers
  • Translating recurring field challenges into reusable assets such as reference architectures, runbooks, and technical guides
  • Contributing to upstream engineering improvements when customer needs reveal product or platform gaps
  • Collaborating with cross-functional teams to ensure scalable, repeatable adoption across accounts

Requirements

This role requires strong software engineering foundations combined with deep systems thinking and customer-facing experience. You should be comfortable operating in ambiguous enterprise environments, bridging the gap between product capabilities and real-world deployment constraints. Key requirements include:

  • Experience in software engineering, platform engineering, solutions architecture, or forward deployed engineering roles
  • Strong programming fundamentals with ability to work in production systems (ideally Ruby on Rails or Go)
  • Deep understanding of distributed systems, APIs, CI/CD pipelines, and system design principles
  • Hands-on experience with GitLab CI/CD, runners, pipelines, and API integrations
  • Familiarity with infrastructure-as-code tools such as Terraform, Ansible, or Helm
  • Exposure to AI/LLM concepts, agentic workflows, and production constraints of AI systems
  • Strong communication skills with ability to engage senior technical and business stakeholders
  • Proven ability to create reusable technical artifacts and scalable engineering solutions

Benefits

  • Fully remote work with global collaboration opportunities
  • Equity compensation and potential participation in employee stock programs
  • Flexible paid time off and parental leave policies
  • Dedicated growth and development funding
  • Home office support to enable productive remote work
  • Employee resource groups supporting inclusion and community
  • Opportunity to work on cutting-edge DevSecOps and AI-driven engineering challenges in enterprise environments

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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