DevOps / Platform Engineer (Remote, Full-Time) [AS348]

Smart Working; Pune District; Remoto; INR 1.500.000 - 2.100.000; Tempo pieno

Descrizione del lavoro

Smart Working is hiring a DevOps/Platform Engineer to scale the cloud infrastructure behind an AI-native cybersecurity platform. You will own critical infra end-to-end and contribute to reliability, scalability and efficiency.

You will join a 14+ engineering team across Backend, DevOps, Endpoint, Frontend and Design, reporting to the VP of Engineering and AI. The role suits a mid-to-senior engineer who thrives on autonomy and AI-assisted engineering.

Competenze

• Extensive hands-on experience managing production cloud infrastructure (AWS/Azure/GCP).
• Infrastructure as Code (IaC) with Terraform or equivalent tooling.
• Docker and containerized environments experience.
• Proven ownership of CI/CD pipelines (build, deploy, release).
• Experience implementing observability, incident response and security practices.
• Daily use of AI agents and frontier AI models in engineering workflows.
• Ability to own engineering projects end-to-end, from requirements to delivery.
• Strong customer focus and direct communication with customers to resolve issues.

Mansioni

• Run, maintain and scale production cloud infrastructure for a data-heavy platform.
• Own build, deployment and release pipelines for Python, C++ and TypeScript apps.
• Build and manage production infra for AI agents with observability and cost controls.
• Own observability and incident response to ensure platform reliability.
• Automate repetitive ops tasks using AI agents.
• Lead end-to-end infrastructure projects from discovery to delivery.
• Manage priorities across major projects and AI-driven tasks with collaboration.

Strumenti

AWS

Azure

GCP

Terraform

Docker

CI/CD

Observability

AI agents

LLMs

Python

Go

Descrizione del lavoro

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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.