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CodiLime

Senior Software Engineer (Go)

Posted 2 days ago
5-10 years experience
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AI Summary

Design and build Go services and multi-tenant ingestion pipelines for network discovery, reconciliation, observability, monitoring, and fleet management. Develop APIs and data integrations, instrument services, apply AI-assisted engineering practices, contribute to technical design, and support customers and production operations during US time zones.

Get to know us better

CodiLime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe).

While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:

  • Act to deliver.

  • Disrupt to grow.

  • Team up to win.

The project and the team

You will join the team behind a leading network source-of-truth (NSoT) platform, used by thousands of organizations - from fast-growing tech companies to Fortune 500 enterprises - to model, document, and automate their network infrastructure.

CodiLime engineers work within the platform's Observability team, which builds the software responsible for network discovery and reconciliation (keeping the platform's documented network state in sync with what is actually discovered on the network), network observability and monitoring, as well as the agents and fleet management that collect data from customer networks. The team develops both closed-source and open-source components, used by the product's large community. Observability is a key part of network automation: it keeps the platform's view of the network accurate and up to date.

The platform is built AI-first, with its own Claude Code agent skills and MCP server, and that mindset carries over to how the team works: AI-assisted development is actively cultivated day to day to help the team move fast and consistently land high-quality results.

The scale is significant - some of the platform's largest customers manage hundreds of thousands of devices, each with multiple interfaces, across globally distributed environments.

As the observability offering keeps growing, the team is looking for a Senior Software Engineer who can strengthen coverage in US time zones.

Technology stack:

  • Programming languages: Go (primary language), Python (tests and tooling)

  • APIs: gRPC, Connect RPC, with Protobuf

  • Data & messaging: PostgreSQL (including migrations), Redis, RabbitMQ

  • Architecture: multi-tenant services, event-driven systems

  • Security: OAuth2 / OIDC

  • Observability: OpenTelemetry, metrics and instrumentation, Grafana, Prometheus

  • Network & device protocols: SNMP, gNMI, CLI-based collection, MQTT

  • Containerization & Orchestration: Docker (Docker Compose for local/test environments), Kubernetes

  • Cloud: AWS

  • CI/CD: GitHub Actions, Ansible

  • AI tooling: Claude Code, MCP servers, Anthropic tooling

What else you should know:

  • Small, cross-functional team with strong ownership of code quality, security and tests

  • The team is distributed across Europe and the US, and we are looking for someone to strengthen coverage in US time zones (ideally Eastern Time), including customer support, production issues and on-call

  • AI tools are part of the daily workflow, including AI-assisted test writing and internal data/feed management tooling

  • This is a backend-focused role

  • Startup-like vibe: proactive, ownership-driven, fast-paced

We work on multiple interesting projects at a time, so it may happen that we’ll invite you to an interview for another project if we see that your competencies and profile are well suited for it.

Your role

As a part of the project team, you will be responsible for:

  • Designing and building Go services for network discovery and reconciliation, network observability and monitoring, and agents and fleet management

  • Designing multi-tenant ingestion pipelines for network device data, with clear delivery guarantees, idempotency and predictable behavior under load

  • Collecting device identity and state from network devices using protocols such as SNMP, gNMI and CLI

  • Building and evolving gRPC and Connect RPC APIs defined in Protobuf, and working with PostgreSQL, Redis and RabbitMQ

  • Instrumenting services with OpenTelemetry and keeping metrics clean and meaningful

  • Exploring and applying AI-assisted engineering practices - such as interactive, Claude Code-driven testing flows - to make development and testing faster and more reliable

  • Writing technical specifications with diagrams and contributing to architecture and design decisions

  • Supporting customers, production issues and on-call in US time zones

  • Writing clean, maintainable, well-tested code and participating in code reviews

Do we have a match?

As a Senior Software Engineer, you must meet the following criteria:

  • 5+ years of professional software engineering experience

  • Strong professional experience with Go

  • Experience with gRPC and/or Connect RPC APIs defined in Protobuf

  • Experience with PostgreSQL (including migrations), Redis and RabbitMQ

  • Experience with multi-tenant services and OAuth2 / OIDC

  • Deep knowledge of observability and instrumentation, including OpenTelemetry

  • Fluency and experience with Docker, Docker Compose

  • Experience with Kubernetes

  • Experience with event-driven systems, including at-least-once delivery and idempotent consumers

  • Solid understanding of networking: devices, configuration, protocols and layers

  • CI/CD experience (ideally GitHub Actions)

  • Hands-on, everyday use of AI coding tools (ideally Claude Code)

  • Availability to work in US time zones (ideally Eastern Time)

  • Good knowledge of English (minimum C1 level)

Beyond the criteria above, we would appreciate the following nice-to-haves:

  • Experience with MQTT or other device/IoT protocols, or gNMI

  • Experience with Python, pytest, Django, FastAPI, REST

  • Experience with Swagger and/or Postman

  • Experience with Playwright or other E2E testing frameworks

  • Experience with Cloud computing (Ideally AWS, e.g. EC2, S3, EKS)

More reasons to join us

  • Flexible working hours and approach to work: fully remotely, in the office or hybrid

  • Professional growth supported by internal training sessions and a training budget

  • Solid onboarding with a hands-on approach to give you an easy start

  • A great atmosphere among professionals who are passionate about their work

  • The ability to change the project you work on

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