---
title: 'DevOps / Platform Engineer (Remote, Full-Time) [AS348] at Smart Working Solutions'
canonical: 'https://feeny.ai/job/devops-platform-engineer-remote-full-time-as348-smart-working-solutions-india-9xyzs8wz5bwf'
type: 'job'
last_seen: '2026-11-05'
---

# DevOps / Platform Engineer (Remote, Full-Time) [AS348] at Smart Working Solutions

- **Company:** Smart Working Solutions
- **Location:** India
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.lever.co/smart-working-solutions/791d9cf0-a767-48dc-aa0c-c4a980af568a

## Job description

## About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

## About the Role

As a DevOps / Platform Engineer, you will play a key role in supporting and scaling the cloud infrastructure behind an AI-native cybersecurity platform that processes terabytes of data daily. You will take end-to-end ownership of critical infrastructure and contribute to the reliability, scalability and operational efficiency of the platform. You will join an engineering team of 14+ professionals across Backend, DevOps, Endpoint, Frontend and Design, reporting to the VP of Engineering and AI. The team operates with a flat structure and a single-owner model, where engineers independently own their discipline within each project while collaborating closely with others. This role suits a mid-to-senior engineer who thrives on autonomy, embraces AI-assisted engineering and wants to deliver high-impact solutions.

## Responsibilities

- Run, maintain and scale production cloud infrastructure supporting a platform that processes terabytes of data daily.
- Own build, deployment and release pipelines for Python, C++ and TypeScript applications.
- Build and manage production infrastructure for AI agents, incorporating observability, guardrails and cost controls.
- Take ownership of observability and incident response to maintain platform reliability.
- Automate repetitive operational work using AI agents.
- Take end-to-end ownership of infrastructure and platform engineering projects, from identifying requirements through to delivery.
- Manage multiple priorities, including two major projects alongside smaller AI-driven tasks, while maintaining effective communication and collaboration.

## Requirements

- Deep, hands-on experience managing production cloud infrastructure, with expertise in AWS, Microsoft Azure or Google Cloud Platform (GCP).
- Practical experience with Infrastructure as Code (IaC), using Terraform or equivalent technologies.
- Hands-on experience with Docker and containerised environments.
- Proven ownership of CI/CD pipelines, including build, deployment and release processes.
- Experience implementing and managing observability, incident response and rigorous security practices.
- Daily, hands-on use of AI agents and frontier AI models as part of engineering workflows.
- Demonstrated ability to use LLMs and AI agents autonomously to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects effectively.
- Ability to independently own engineering projects from start to finish rather than simply completing assigned tickets.
- Strong customer focus, including willingness to communicate directly with customers and take ownership of solutions until customer problems are resolved.
- A high sense of urgency, with the judgement to reprioritise work and focus on delivering the greatest impact.
- Ability to set priorities independently, make decisions and deliver results without close supervision while maintaining consistent communication and collaboration.
- A growth mindset, with openness to constructive criticism, willingness to discard or rethink existing code and projects, and commitment to improving the wider team.
- A trustworthy and accountable approach, demonstrating honesty, attention to detail, early identification of problems and consistent delivery.
- Ability to explain technical decisions, implementation approaches and engineering solutions clearly, demonstrating genuine technical understanding.
- Ability to work remotely during UK working hours.

## Nice to Have

- Experience with Microsoft Azure, particularly relevant to cloud migration initiatives and Azure Marketplace integration.
- Experience working with ClickHouse or other data-intensive platforms.
- Experience running Large Language Model (LLM) or AI agent workloads in production.
- Scripting experience with Python or Go.
- Familiarity with SOC 2, GDPR or other regulated environments.

## About Smart Working Solutions

## Company Overview
- **One-liner**: Smart Working provides a "Tech Talent as a Service" model, delivering rigorously vetted remote software engineers and AI specialists who are fully embedded into clients’ teams.
- **Entity Type**: Private (Privately Held)
- **Headquarters**: London, United Kingdom
- **Founded**: Not publicly available
- **Founders**: Oli Rowse (Co-Founder), Max Rowse (Co-Founder), Julian Rowse (Director & Founder)

## Core Business
- **Primary industry**: IT Services and IT Consulting
- **Target customers**: B2B – mid‑market to enterprise clients in the UK and USA seeking to scale engineering teams without traditional hiring overhead
- **Mission / purpose**: "Building high‑performance global engineering teams without the friction, risk, or overhead of legacy hiring models."

## Products & Services
- **Tech Talent as a Service (TTaaS)**: A fully managed service that includes vetting, onboarding, payroll, HR administration, performance management, compliance, and continuous AI training. Engineers work the client’s hours, join their standups, and integrate into existing Slack/communication channels. Pricing starts at ~£20–£25/hour all‑inclusive.

## Market Standing
- **Valuation / Market Cap**: Not disclosed
- **Key Metric**: 123 employees (78% year‑over‑year growth); serves 60+ clients in the UK and USA
- **Notable Investors / Partners**: Not publicly listed
- **Growth Signals**:
  - 78% headcount growth YoY
  - Average engineer tenure of 26 months (low churn for the industry)
  - Net Promoter Score (NPS) of 75
  - ISO 27001 certified
  - 4‑stage vetting process that admits only ~1% of ~100,000 monthly applicants
  - Continuous AI Academy training for all engineers

## Competitive Advantages
- **Rigorous vetting**: 4‑stage process (AI‑assisted screening, advanced technical assessments, communication tests, live technical interview) ensures top‑1% talent.
- **Full embedding**: Engineers work the client’s exact hours, attend meetings, and use the client’s tools – eliminating the disconnect typical of offshore outsourcing.
- **Low churn guarantee**: Average 26‑month tenure; if an engineer leaves, they are replaced at no extra cost.
- **All‑inclusive pricing**: Single monthly invoice covers vetting, onboarding, payroll, HR, compliance, performance management, and AI training.
- **Security & compliance**: ISO 27001 certified with comprehensive background screening.

## Strategic Focus
- Scaling the “Tech Talent as a Service” model to more clients while maintaining high quality and low churn.
- Continuous investment in AI training (AI Academy) to keep engineers ahead of emerging technologies.
- Expanding the client base beyond the UK and USA into other English‑speaking markets.

## Why Work Here
- **Culture & ratings**: Employer rating of 4.7/5 on LinkedIn (196 reviews) with strong scores for work‑life balance (4.7), compensation (4.5), culture (4.6), and career growth (4.5).
- **Remote‑first**: All roles are fully remote, with engineers distributed across 18 countries. The model supports full‑time, contractual, and part‑time engagements.
- **Stability & impact**: Engineers work directly with 60+ clients on meaningful products and receive continuous training in AI and modern tech stacks.
- **Support**: Dedicated Account Managers and Customer Success teams handle performance, compliance, and career development.
- **Perks**: All‑inclusive payroll handling, no lock‑in contracts (1‑month calibration + 6‑month minimum), and a replacement guarantee.

## Sources
1. [smartworking.io](https://smartworking.io/)
2. [linkedin.com](https://uk.linkedin.com/company/smartworkingsolutions)
3. [lever.co](https://jobs.lever.co/smart-working-solutions)
4. [simplify.jobs](https://simplify.jobs/c/Smart-Working-Solutions)

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