28 сен

golang engineer for a FinOps platform

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описание

Avenga is an international engineering firm helping businesses operate with AI at the core. It combines engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

задачи

  • Build polished, accessible, and well-tested React/TypeScript interfaces for cost and usage dashboards, connector configuration, and platform administration
  • Design, develop, and maintain scalable Go-based microservices and REST/gRPC APIs
  • Build and evolve Python connectors and collectors for AWS, Azure, GCP, LLM providers, and SaaS vendors
  • Extend the established connector pipeline across credential management, execution, normalisation, persistence, and presentation, following established patterns rather than introducing one-off integration approaches
  • Ensure every new integration follows consistent product patterns, from connector tile through creation and edit flows
  • Normalise vendor cost and usage data to the FOCUS standard, including AI token- and credit-based billing data
  • Model and persist data using SQL, Python ORMs, and Databricks where appropriate
  • Improve platform observability, reliability, performance, scalability, and security
  • Deploy and support services in AWS; work with Azure and GCP as integration targets and data sources
  • Use Docker, Kubernetes, CI/CD, ArgoCD, and feature flags to ship changes safely and reliably
  • Use AI coding tools in daily delivery while treating prompts, skills, and internal documentation as reviewable engineering artefacts
  • Turn repeatable work into reusable skills, agents, and documented playbooks that improve the whole team’s effectiveness

требования

  • 5+ Years of professional software engineering experience, including delivery in a consulting, client-facing, or contract environment
  • Strong, recent hands-on experience building production web applications with React and TypeScript
  • Production backend experience with Go, including at least one year of commercial Go development
  • Production experience with Python, particularly for API integrations, data collection, or backend services
  • Proven experience integrating third-party REST APIs, including OAuth/API-key authentication, pagination, rate limiting, retries, idempotency, error handling, and partial-failure scenarios
  • Strong understanding of REST APIs, microservices, distributed systems, and service-to-service integration patterns
  • Solid SQL and data-modelling experience, including practical work with an ORM such as SQLAlchemy, Django ORM, Hibernate, or equivalent
  • Working knowledge of Docker, Kubernetes, CI/CD, Git, and modern code-review and testing practices
  • Experience working in Agile teams using Jira and Confluence as part of the normal development workflow
  • Confidence using AI-assisted engineering tools while critically reviewing, testing, and validating generated code
  • Strong written and spoken communication skills, a pragmatic problem-solving mindset, and the ability to ramp up quickly in a complex product environment
  • Будет плюсом: FinOps, cloud cost management, cloud billing, usage analytics, or familiarity with the FOCUS standard; IT Asset Management or software-licensing domain knowledge; experience with FlexNet Manager Suite; AWS Cost and Usage Report, Azure Cost Management, GCP billing exports, or comparable cloud billing APIs; LLM provider APIs, usage or analytics endpoints, and token- or credit-based billing models; gRPC, Protocol Buffers, Databricks, event-driven architectures, or messaging platforms; strong AWS experience, including deploying and supporting production applications; Kubernetes Jobs, ArgoCD, Helm, GitOps practices, or feature-flag platforms such as Split.io; n8n or similar workflow-automation tools, together with sound judgement about when an automation should become a supported service; observability, monitoring, distributed tracing, and production reliability practices; internal developer tooling, agent skills, MCP servers, or reusable AI-enabled engineering workflows; previous experience in a SaaS product organisation

условия

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