DevOps / Platform Engineer

🔥 3 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 16%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smart Working

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.

📋 Description

• Run, maintain and scale production cloud infrastructure supporting a platform processing terabytes of data daily • Own build, deployment and release pipelines for Python, C++ and TypeScript applications • Build and manage production infrastructure for AI agents, including observability, guardrails and cost controls • Own observability and incident response to maintain platform reliability • Automate repetitive operational work using AI agents • Own infrastructure and platform engineering projects end-to-end, from requirements identification through delivery • Manage multiple priorities, including two major projects and smaller AI-driven tasks • Collaborate with Backend, DevOps, Endpoint, Frontend and Design engineers • Report to the VP of Engineering and AI

🎯 Requirements

• Deep, hands-on experience managing production cloud infrastructure using 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 in engineering workflows • Ability to use LLMs and AI agents autonomously to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects • Ability to independently own engineering projects from start to finish • Strong customer focus and willingness to communicate directly with customers • High sense of urgency and ability to reprioritise work • Ability to set priorities independently, make decisions and deliver results without close supervision • Growth mindset and openness to constructive criticism • Trustworthy and accountable approach, with attention to detail and early problem identification • Ability to clearly explain technical decisions and engineering solutions • Ability to work remotely during UK working hours • Nice to have: Microsoft Azure experience, ClickHouse or other data-intensive platforms, production LLM or AI agent workloads, Python or Go scripting, SOC 2, GDPR or other regulated environments

🏖️ Benefits

• Full-time, long-term role • Remote-first work • Genuine community focused on growth and well-being • Global team collaboration • Autonomy and high-impact work

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