At a Glance
- Tasks: Lead complex customer deployments and design scalable solutions in a dynamic tech environment.
- Company: Join Coder, an innovative AI software development company transforming coding practices.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a supportive team that values transparency and innovation.
- Why this job: Make a real impact by guiding customers through cutting-edge technology adoption.
- Qualifications: 5+ years in technical roles with hands-on cloud infrastructure experience required.
The predicted salary is between 70000 - 90000 ÂŁ per year.
We are looking for a Senior Forward Deployed Engineer to join the Customer Solutions team. You will be the technical authority embedded with our most complex customers, guiding them through deployment, architecture, onboarding, and the adoption of agentic development workflows. You bring deep hands‑on experience from prior roles and use that depth to advise, design repeatable patterns, and drive customer outcomes end to end. You operate autonomously, own the technical success of your customers, and bring their experience back to shape how Coder builds and delivers.
This is not an execution‑only role. You are equally comfortable doing deep technical work with a customer and stepping back to design the repeatable pattern behind it. You are energized by ambiguity, motivated by customer outcomes, and capable of influencing organizational change alongside the technical work.
What you'll do here:
- Serve as the primary technical authority for post‑sales customers, guiding deployment architecture, environment design, and adoption of Coder across both human and AI development workflows.
- Own onboarding engagements end‑to‑end, ensuring customers move from contract to productive adoption with speed and confidence.
- Lead engagements where architecture decisions, rollout patterns, or organizational dynamics are limiting customer health or growth.
- Help customers implement the technical and organizational changes required to adopt agentic development practices at scale.
- Design and document repeatable delivery patterns across onboarding, architecture, and adoption that can scale across customer segments.
- Design and recommend reference architectures tailored to each customer’s cloud environment, security posture, and organizational constraints.
- Translate customer environment complexity into clear guidance on networking, ingress, identity, and infrastructure patterns.
- Anticipate technical and operational risks, elevate to the right internal stakeholders, and track issues through to resolution.
- Contribute to technical documentation, architecture guides, how‑to resources, and statements of work that extend your impact across the customer base.
- Capture structured product feedback from customer deployments and advocate directly with engineering and product teams for roadmap and usability improvements.
What we’re looking for:
- 5+ years of experience in a Forward Deployed Engineering, Solutions Architect, Platform Engineering, or equivalent post‑sales technical role, with a demonstrated track record of guiding enterprise customers through complex technical deployments.
- Proven hands-on experience from a prior role designing and deploying cloud infrastructure on at least one major provider: AWS, Google Cloud, or Microsoft Azure; you have done the work and can speak to it with specificity.
- 2+ years of production experience with Kubernetes: cluster design, workload scheduling, networking, storage, and operational lifecycle.
- 2+ years of experience with Terraform or equivalent infrastructure‑as‑code tooling; you understand how enterprise teams structure, version, and maintain IaC at scale.
- Solid understanding of Linux systems administration, including networking fundamentals: ingress controllers, proxies, load balancers, and DNS resolution in cloud‑native environments.
- Familiarity with CI/CD pipeline design and DevOps practices; you understand how code moves from commit to running workload in an enterprise context.
- Working knowledge of cloud security and identity: IAM patterns, network segmentation, secrets management, and compliance‑relevant controls.
- Understanding of observability practices including logging, metrics, and tracing across distributed systems.
- Experience with AI tooling at both the user level (coding agents, assistants) and infrastructure level (model proxies, LLM routing layers such as LiteLLM).
- Demonstrated ability to design repeatable delivery patterns, not just solve one‑off problems.
- Comfort working through organizational and workflow change alongside technical change with customers.
- Strong verbal and written communication skills: you can hold a room with a senior infrastructure team and produce a clear architecture document without those being separate skills.
- High customer empathy: you understand that the best technical solution does not always fit a customer's constraints, timeline, or organizational reality.
- Self‑directed, analytically minded, and comfortable operating with full autonomy in a startup environment.
Bonus tacos if you have:
- Experience at both early‑stage startups and larger software organizations.
- Background as a Software Engineer, DevOps Engineer, or Platform Engineer before moving into a customer‑facing role.
- Familiarity with regulated environments: air‑gapped deployments, network isolation, SOC 2, ISO 27001, GDPR, or DORA requirements.
- Experience with disaster recovery design and multi‑region availability patterns.
- Cloud cost optimization experience, including rightsizing, reserved capacity, and FinOps practices.
- Experience with Tailscale or similar overlay networking tools.
- Kubernetes certification (CKA, CKAD, or CKS).
- Open‑source contributions.
- Experience with Backstage.io or similar internal developer portals and platform tooling.
- Prior work on or alongside a developer platform or platform engineering team.
- Experience introducing new operating models or delivery patterns across post‑sales or go‑to‑market teams.
About Coder:
Coder is an AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle.
Our self‑hosted AI Development Environment is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder’s isolated, policy‑driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
Interview process:
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI use during the interview process:
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
- Not permitted: Using AI assistance during conversational interviews.
- Permitted: Using AI tooling for take‑home assessments. Please flag where and to what extent it was used in your take‑home. Your submission will not be penalised for using AI as long as it is done honestly.
Our use of AI in hiring:
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby helps us review inbound applications by surfacing candidates who best match the role requirements we’ve defined. This tool does not make hiring decisions – it helps our team prioritise which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labour laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on Automated Employment Decision Tools; results are available for Ashby.
If you’re applying for a role at Coder and have questions about how we use AI in our process, or if you’d like to request information about the data we collect, please contact careers@coder.com.
Coder is a proud Equal Opportunity Employer:
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, colour, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Senior Forward Deployed Engineer employer: Coder Enterprise
Contact Detail:
Coder Enterprise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Forward Deployed Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with potential employers on social media. The more people know you, the better your chances of landing that Senior Forward Deployed Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your previous projects and how you've tackled complex deployments. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your technical expertise and how it aligns with customer outcomes.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a direct line to our hiring team, making it easier for us to spot your application and get you in for an interview.
We think you need these skills to ace Senior Forward Deployed Engineer
Some tips for your application 🫡
Show Your Technical Expertise: When writing your application, make sure to highlight your hands-on experience with cloud infrastructure and Kubernetes. We want to see how you've tackled complex deployments in the past, so don’t hold back on the specifics!
Tailor Your Application: Take a moment to customise your application for the Senior Forward Deployed Engineer role. Use the job description as a guide to showcase how your skills and experiences align with what we’re looking for. It’ll help us see you as a perfect fit!
Be Clear and Concise: We appreciate clarity! Make sure your application is well-structured and easy to read. Use bullet points where necessary and keep your language straightforward. This will help us understand your qualifications quickly.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Coder Enterprise
✨Know Your Tech Inside Out
As a Senior Forward Deployed Engineer, you need to be ready to discuss your hands-on experience with cloud infrastructure and Kubernetes. Brush up on specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and ability to guide customers effectively.
✨Prepare for Customer Scenarios
Think about potential customer scenarios you might encounter in the role. Be ready to explain how you would approach onboarding, architecture decisions, and overcoming organisational dynamics. This demonstrates your problem-solving skills and customer empathy, which are crucial for this position.
✨Showcase Your Communication Skills
You’ll need to hold discussions with senior infrastructure teams and produce clear documentation. Practice articulating complex technical concepts in simple terms. This will help you convey your ideas effectively during the interview and highlight your strong verbal and written communication skills.
✨Embrace Ambiguity and Change
This role requires comfort with ambiguity and the ability to influence change. Prepare examples from your past experiences where you navigated uncertainty or led organisational changes. This will illustrate your adaptability and readiness to thrive in a dynamic environment.