One2n
https://one2n.ioAbout
One2N is a boutique technology consulting firm that helps fast-growing companies build and scale high-performance backend systems. As startups evolve from MVP to tens of thousands of users, the engineering challenges change dramatically — and we specialise in solving exactly those problems. Our work ensures that scaling, reliability, and performance never become bottlenecks to growth.
With deep expertise in Site Reliability Engineering, Cloud Infrastructure & DevOps, Data Engineering, and Backend Architecture, we partner with engineering teams to design, build, and operate resilient cloud-native systems. We believe in pragmatic, impact-driven engineering — creating solutions that are robust today and adaptable for tomorrow, so teams can ship faster, stay reliable, and scale confidently.
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One2N builds robust, scalable software systems for startups ready to grow from product-market fit to large-scale adoption.
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Kubernetes
Amazon Web Services (AWS)
DockerAbout the role:
We are looking for a Senior Site Reliability Engineer who understands the nuances of production systems. If you care about building and running reliable software systems in production, you'll like working at One2N.
You will primarily work with our startups and mid-size clients. We work on One-to-N kind problems (hence the name One2N), those where Proof of concept is done and the work revolves around scalability, maintainability, and reliability. In this role, you will be responsible for architecting and optimizing our observability and infrastructure to provide actionable insights into performance and reliability.
Responsibilities:
- Conceptualise, think, and build platform engineering solutions with a self-serve model to enable product engineering teams.
- Provide technical guidance and mentorship to young engineers.
- Participate in code reviews and contribute to best practices for development and operations.
- Design and implement comprehensive monitoring, logging, and alerting solutions to collect, analyze, and visualize data (metrics, logs, traces) from diverse sources.
- Develop custom monitoring metrics, dashboards, and reports to track key performance indicators (KPIs), detect anomalies, and troubleshoot issues proactively.
- Improve Developer Experience (DX) to help engineers improve their productivity.
- Design and implement CI/CD solutions to optimize velocity and shorten the delivery time.
- Help SRE teams set up on-call rosters and coach them for effective on-call management.
- Automating repetitive manual tasks from CI/CD pipelines, operations tasks, and infrastructure as code (IaC) practices.
- Stay up-to-date with emerging technologies and industry trends in cloud-native, observability, and platform engineering space.
Requirements:
- 6-9 years of professional experience in DevOps practices or software engineering roles, with a focus on Kubernetes on an AWS platform.
- Expertise in observability and telemetry tools and practices, including hands-on experience with some of Datadog, Honeycomb, ELK, Grafana, and Prometheus.
- Working knowledge of programming using Golang, Python, Java, or equivalent.
- Skilled in diagnosing and resolving Linux operating system issues.
- Strong proficiency in scripting and automation to build monitoring and analytics solutions.
- Solid understanding of microservices architecture, containerization (Docker, Kubernetes), and cloud-native technologies.
- Experience with infrastructure as code (IaC) tools such as Terraform, Pulumi.
- Excellent analytical and problem-solving skills, keen attention to detail, and a passion for continuous improvement.
- Strong written, communication, and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.
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