Senior Software Engineer (Golang)
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years of professional software engineering experience, preferably in backend, platform, infrastructure, DevOps, or distributed systems roles.
- Strong production experience with Go or comparable backend systems languages.
- Experience owning engineering projects end to end, including requirements, design, implementation, testing, deployment, observability, and iteration.
- Strong understanding of distributed systems, asynchronous communication, event-driven architectures, reliability engineering, and operational trade-offs.
- Hands-on experience with message brokers or event-streaming technologies such as NATS, Kafka, or RabbitMQ.
- Experience designing, deploying, and operating services in Kubernetes and containerized environments.
- Familiarity with infrastructure automation and infrastructure-as-code tooling such as Terraform, Terragrunt, Helm, or similar technologies.
- Experience working with CI/CD systems and developer productivity tooling.
- Good understanding of monitoring, logging, observability, alerting, incident management, and production operations.
- Strong AI-native engineering workflow, including practical use of coding agents, research agents, debugging assistants, and automation tools to accelerate design, implementation, testing, operations,
- Excellent written and verbal English.
Nice to have
- Experience integrating with blockchain networks through RPC APIs or related infrastructure interfaces.
- Experience operating or maintaining blockchain client nodes.
- Experience with cloud-native infrastructure and platform engineering practices.
- Understanding of Web3 infrastructure, validator operations, indexing systems, or node orchestration platforms.
- Experience building internal tooling, operational automation, deployment systems, benchmark suites, or self-service infrastructure platforms.
- Experience with engineering planning processes such as RFCs, ADRs, or specification-driven development.
- Ability to write high-quality specifications, technical proposals, operational runbooks, and concise engineering updates.
- Strong product sense with the ability to connect platform improvements to customer value, operational efficiency, and measurable outcomes.
Full description
Are you a senior Go engineer who enjoys building reliable distributed systems and owning production software end to end? Join Chainstack and help build the platform that powers blockchain infrastructure at scale.
About us
Chainstack powers global blockchain applications across fintech, DeFi, wallets, custodians, analytics, and everything in between. Teams cut time-to-market, cost, and risk with one platform for nodes in the cloud, offered through preferred service providers, or self-hosted. Standardized node management puts reliability on autopilot and keeps performance predictable, giving operators control and transparency while developers get a consistent way to build and scale.
About the role
We are looking for a Senior Software Engineer to join our platform team and build the systems that power the management and operation of blockchain infrastructure at scale. In this role, you will own problems end to end, from understanding user and operational needs to designing, building, shipping, and improving production systems.
You will work on backend services, distributed systems, reliability engineering, and developer workflows while applying AI-first development practices. The role combines strong engineering execution, product ownership, and platform thinking, with direct impact on how customers provision, operate, and scale blockchain infrastructure.
Responsibilities
- Own platform features from discovery and specification through design, implementation, rollout, and production operation.
- Understand customer and operational pain points related to infrastructure provisioning, reliability, scalability, observability, deployment workflows, and operational efficiency, and translate them into platform improvements.
- Use AI-first development practices to accelerate research, specification, implementation, testing, documentation, and operational analysis while maintaining a high verification bar.
- Define, track, and improve key platform metrics such as provisioning time, deployment success rate, system reliability, incident frequency, infrastructure utilization, operational cost, and customer impact.
- Collaborate with platform, DevOps, product, support, and customer-facing teams to evaluate trade-offs, prioritize investments, and deliver scalable solutions.
- Identify operational bottlenecks, reliability risks, and scaling challenges, and drive long-term solutions from concept to production.
Requirements
- 5+ years of professional software engineering experience, preferably in backend, platform, infrastructure, DevOps, or distributed systems roles.
- Strong production experience with Go or comparable backend systems languages.