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.
Candid answers by the company
One2N builds robust, scalable software systems for startups ready to grow from product-market fit to large-scale adoption.
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Jobs at One2n
About the role:
We are looking for a Staff Site Reliability Engineer who can operate at a staff level across multiple teams and clients. If you care about designing reliable platforms, influencing system architecture, and raising reliability standards across teams, you’ll enjoy working at One2N.
At One2N, you will work with our startups and enterprise clients, solving One-to-N scale problems where the proof of concept is already established and the focus is on scalability, maintainability, and long-term reliability. In this role, you will drive reliability, observability, and infrastructure architecture across systems, influencing design decisions, defining best practices, and guiding teams to build resilient, production-grade systems.
Key responsibilities:
- Own and drive reliability and infrastructure strategy across multiple products or client engagements
- Design and evolve platform engineering and self-serve infrastructure patterns used by product engineering teams
- Lead architecture discussions around observability, scalability, availability, and cost efficiency.
- Define and standardize monitoring, alerting, SLOs/SLIs, and incident management practices.
- Build and review production-grade CI/CD and IaC systems used across teams
- Act as an escalation point for complex production issues and incident retrospectives.
- Partner closely with engineering leads, product teams, and clients to influence system design decisions early.
- Mentor young engineers through design reviews, technical guidance, and best practices.
- Improve Developer Experience (DX) by reducing cognitive load, toil, and operational friction.
- Help teams mature their on-call processes, reliability culture, and operational ownership.
- Stay ahead of trends in cloud-native infrastructure, observability, and platform engineering, and bring relevant ideas into practice
About you:
- 9+ years of experience in SRE, DevOps, or software engineering roles
- Strong experience designing and operating Kubernetes-based systems on AWS at scale
- Deep hands-on expertise in observability and telemetry, including tools like OpenTelemetry, Datadog, Grafana, Prometheus, ELK, Honeycomb, or similar.
- Proven experience with infrastructure as code (Terraform, Pulumi) and cloud architecture design.
- Strong understanding of distributed systems, microservices, and containerized workloads.
- Ability to write and review production-quality code (Golang, Python, Java, or similar)
- Solid Linux fundamentals and experience debugging complex system-level issues
- Experience driving cross-team technical initiatives.
- 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.
Nice to have:
- Experience working in consulting or multi-client environments.
- Exposure to cost optimization, or large-scale AWS account management
- Experience building internal platforms or shared infrastructure used by multiple teams.
- Prior experience influencing or defining engineering standards across organizations.
Java
Spring BootAbout the role:
We're looking for a Staff Software Engineer who will work across teams to design and implement robust solutions, mentor other engineers, and drive technical excellence. If you care about building and running reliable software systems in production, you'll like working at One2N.
You'll primarily work with our enterprise customers on One-to-N kind problems, where you:
- Design, build and scale reliable software systems that handle real-world production demands
- Solve technical challenges around performance bottlenecks and system scaling
- Build and scale platforms for high throughput and low latency
Key responsibilities:
- Lead end-to-end architecture and design for large-scale systems and technical initiatives
- Create and maintain technical documentation through Architecture Design Records (ADR) and Request For Comments (RFC)
- Participate in architecture reviews and help teams make better technical decisions
- Drive improvements in system reliability, performance, and scalability
- Tackle complex technical challenges, especially around bottlenecks and scaling
- Mentor engineers through 1:1s, code reviews, and technical guidance
- Design high-throughput, low-latency systems that can scale
- Contribute to shared libraries, internal SDKs, and developer tooling to improve engineering efficiency
About you:
- 9+ years of professional programming experience with JVM languages (Java/Scala/Kotlin)
- Lead by example with high-quality, maintainable, and testable code and good architecture decisions
- Strong experience with:
- REST API design and implementation
- Spring Boot framework
- Database schema modeling
- Test-Driven Development (TDD)
- Domain Driven Design
- Experience in building microservices architectures
- Strong testing skills with Unit and Integration testing. Good to have experience with Contract-driven tests.
- Ability to build reusable libraries/SDKs
- Brainstorm with product and business teams to prioritize the backlog
- Experience with Kafka for event-driven architectures to build auto-scaling data processing pipelines
- Exposure to AWS architecture, particularly with EKS and S3
- Understanding architecture implications for cost, security, and performance
Leadership & collaboration:
- Track record of mentoring and coaching engineers
- Strong written and verbal communication skills
- Ability to influence without authority
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