Senior Forward Deployed Software Engineer

Reperio Human Capital · Recruitment agency
Contract•Full-stack•€400-450/day (EUR)•Ireland
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At a glance

Employment type
Contract
Location
Ireland
Workplace
On-site
Day rate
€400-450/day (EUR)
Category
Full-stack

Technologies & skills

Primary technologies

TypeScriptPythonJavaC#C++

Cloud & infrastructure

KubernetesAWSAzureGCPDocker

What you'll be doing

Senior Forward Deployed Software Engineer (Contract, On-site, Ireland). Tackle complex technical problems, build proofs of concept, work across the full stack and cloud platforms, assess architectures, and deliver maintainable solutions. Requires 7+ years' experience and fluency in multiple languages.

  • Take on complex, loosely defined technical problems and find the right solution quickly
  • Build and benchmark proofs of concept to test architectures and new technologies
  • Work across the full stack, from back-end performance and cloud reliability to front-end prototypes
  • Assess architectural options, including microservices and distributed system patterns
  • Work across several programming languages and cloud platforms, choosing the right tool for each problem
  • Write up findings, trade-offs and recommendations clearly for technical leadership
  • Hand over clean, maintainable, well-documented solutions to engineering teams
  • Build strong working relationships with product and engineering teams

Key requirements

Must-have

  • 7+ years of software engineering experience building complex, high-performance systems
  • Working fluency in several languages, such as C#, TypeScript, Python, Java or C++
  • Solid knowledge of distributed systems, multi-tenant design and containerisation (Docker, Kubernetes)
  • Hands-on experience with at least one major cloud platform (Azure, AWS or GCP)
  • Practical experience with generative AI APIs, RAG / vector search or AI-assisted development tools
  • Comfortable working independently and making progress with unclear requirements
  • Clear, concise communication skills for explaining technical decisions

Experience: 7+ years

Role signals

Technical focus
full-stack, distributed systems, cloud, architecture assessment
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

Full job description

Senior Forward Deployed Software Engineer

Responsibilities

  • Take on complex, loosely defined technical problems and find the right solution quickly
  • Build and benchmark proofs of concept to test architectures and new technologies before wider adoption
  • Work across the full stack, from back-end performance and cloud reliability to front-end prototypes
  • Assess architectural options, including microservices and distributed system patterns
  • Work across several programming languages and cloud platforms, choosing the right tool for each problem
  • Write up findings, trade-offs and recommendations clearly for technical leadership
  • Hand over clean, maintainable, well-documented solutions to the engineering teams that will run them
  • Build strong working relationships with product and engineering teams across the business

Requirements

  • 7+ years of software engineering experience building complex, high-performance systems
  • Working fluency in several languages, such as C#, TypeScript, Python, Java or C++
  • Solid knowledge of distributed systems, multi-tenant design and containerisation (Docker, Kubernetes)
  • Hands-on experience with at least one major cloud platform (Azure, AWS or GCP)
  • Practical experience with generative AI APIs, RAG / vector search or AI-assisted development tools
  • Comfortable working on your own and making progress when requirements are unclear
  • Clear, concise communicator who can explain technical decisions to senior stakeholders
    Applicants must be eligible to work full-time in Ireland without restriction.

Reperio Human Capital acts as an Employment Agency and an Employment Business.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the Senior Forward Deployed Software Engineer role emphasizes solving complex technical problems, building proofs of concept, and working across the full stack with distributed systems and cloud platforms. The position requires strong multi-language fluency, experience with containerization, and the ability to communicate technical decisions clearly.

  • Distributed Systems Expertise·High
  • Full-stack Prototyping·High
  • Cloud and Containerization·High
  • Technical Communication·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Distributed Systems and Cloud Architecture

    0–8 min

    Spend time revisiting distributed system patterns, microservices, and multi-tenant design, focusing on practical examples from your experience.

  2. Refresh Hands-on Skills with Docker and Kubernetes

    8–15 min

    Set up a small project or review recent work to ensure you can confidently discuss containerization and orchestration in cloud environments.

  3. Prepare STAR Stories for Prototyping and Problem Solving

    15–22 min

    Outline 2-3 concise stories that demonstrate your ability to solve ambiguous problems and build proofs of concept.

  4. Summarize Experience with Generative AI APIs or Vector Search

    22–27 min

    Prepare a clear example or approach for integrating generative AI or vector search, highlighting challenges and outcomes.

  5. Draft Questions for the Interviewer

    27–30 min

    Select and tailor 2-3 questions from the provided list to ask during your interview.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items

  • Solving Loosely Defined Technical Problems

    Prepare to discuss how you approach ambiguous or complex challenges, including your process for quickly identifying solutions and iterating on them.

  • Building and Benchmarking Proofs of Concept

    Be ready to share examples where you rapidly prototyped or benchmarked new architectures or technologies to inform technical decisions.

  • Distributed Systems and Multi-Tenant Design

    Demonstrate your understanding of distributed architectures, microservices, and multi-tenant systems, including trade-offs and best practices.

  • Containerization with Docker and Kubernetes

    Showcase your hands-on experience deploying and managing applications using Docker and Kubernetes, especially in multi-cloud environments.

  • Generative AI APIs and Vector Search

    Highlight practical experience integrating generative AI APIs, RAG, or vector search into production systems or prototypes.

  • Clear Technical Communication

    Provide examples of how you have documented findings, explained trade-offs, and communicated recommendations to technical leadership or stakeholders.

What to research

, 4 items

  • Review Distributed Systems and Microservices Patterns

    Refresh your knowledge of distributed system architectures, microservices, and multi-tenant design, focusing on real-world trade-offs and best practices.

  • Hands-on Practice with Docker and Kubernetes

    Revisit recent projects or set up a small demo to showcase your ability to deploy and manage applications using Docker and Kubernetes in a cloud environment.

  • Prepare Examples of Prototyping and Benchmarking

    Identify specific instances where you built proofs of concept or benchmarked new technologies, and be ready to discuss your process and outcomes.

  • Summarize Experience with Generative AI APIs or Vector Search

    Gather concrete examples of integrating generative AI APIs, RAG, or vector search into applications, or outline how you would approach such integration.

Questions to ask

, 6 items
  1. What types of complex technical problems are most common for forward deployed engineers in this organization?

    Why ask this? Clarifies the nature of challenges you will face and helps you tailor your examples.

  2. How are architectural decisions and technology evaluations typically documented and shared with leadership?

    Why ask this? Gives insight into communication expectations and documentation standards.

  3. What is the typical lifecycle for a proof of concept, from ideation to handover to engineering teams?

    Why ask this? Helps you understand workflow, timelines, and collaboration points.

  4. How does the team stay current with emerging technologies, especially in AI and cloud platforms?

    Why ask this? Shows your interest in continuous learning and innovation.

  5. What are the main challenges when working across multiple programming languages and cloud platforms here?

    Why ask this? Reveals technical and organizational complexities you may encounter.

  6. How is success measured for forward deployed engineers in this role?

    Why ask this? Clarifies performance expectations and key outcomes.

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Apply NowApply before: 30 Nov 2026