Resumen del rol

Software Engineer

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

The Day-to-Day

  • Build, test, deploy, and maintain backend services and platform capabilities.
  • Develop and integrate APIs using established service and architecture patterns.
  • Work with relational data stores and contribute to reliable data access and service integration patterns.
  • Contribute to event-driven and asynchronous workflows, including message-based processing and background jobs.
  • Run and support services across cloud and platform environments, including managed cloud services, containers, virtual machines, and other runtime models.
  • Use CI/CD and Infrastructure as Code workflows to deliver changes safely and repeatably.
  • Use logs, metrics, and traces to understand application behavior and diagnose production issues.
  • Participate in technical design discussions, ADRs, RFCs, and code reviews, asking questions and contributing practical implementation feedback.
  • Own defined areas of work and collaborate with more experienced engineers on broader architectural or cross-team decisions.
  • Use AI-assisted engineering tools to speed up development, improve testing, explore codebases, and investigate technical problems.

You should be comfortable with:

  • Building and integrating HTTP APIs, particularly REST-based services.
  • Working with RPC or service-to-service communication patterns; experience with gRPC is a plus.
  • Relational databases and SQL, such as MySQL or PostgreSQL.
  • Writing readable, maintainable, and testable code.
  • Unit and integration testing, debugging, and safe production changes.
  • Version control and collaborative Git-based development workflows.

Cloud & Platform Engineering

  • Core cloud concepts around compute, networking, storage, identity, and managed services.
  • Operating applications in at least one public cloud environment, preferably GCP or AWS.
  • Containers and Docker.
  • Basic orchestration concepts; practical Kubernetes experience is useful but not required to be expert level.
  • Infrastructure as Code concepts and working with existing Terraform modules or similar tooling.
  • Different runtime models, including managed cloud services, containers, and virtual machines.

Distributed Systems & Architecture

  • Event-driven and message-based systems.
  • Asynchronous processing and background workflows.
  • Queues, publish/subscribe patterns, and service integration.
  • Retries, idempotency, and basic failure handling.
  • Scalability and service dependencies.
  • Data consistency and eventual consistency at a conceptual level.
  • Performance and latency considerations.
  • Clear service boundaries and separation of responsibilities.

DevOps & Observability

  • CI/CD pipelines and automated delivery workflows.
  • Working with Infrastructure as Code in an existing codebase.
  • Monitoring and basic alerting.
  • Using logs and metrics to diagnose application issues.
  • Basic distributed tracing concepts and following requests across services.
  • Participating in production incident investigation and root-cause analysis.
  • Experience with OpenTelemetry, Google Cloud Operations, Prometheus, Datadog, or similar tooling is useful.
  • We care primarily about your ability to investigate how a production system behaves and find the right signals when something goes wrong.

You should be familiar with:

  • Identity and Access Management concepts.
  • Authentication and authorization fundamentals.
  • OAuth or OpenID Connect concepts.
  • Secrets and credentials management.
  • Least privilege and basic cloud security practices.

You should be familiar with:

  • SOLID principles and common design patterns.
  • Code review and collaborative development.
  • Automated testing and maintainable code.
  • Technical documentation and contributing to ADR or RFC-style discussions.
  • Breaking work into deliverable increments and communicating technical risks.
  • Taking ownership of defined services, features, and production outcomes within your area.

This may include using AI to:

  • Accelerate implementation and reduce repetitive work.
  • Explore unfamiliar code and documentation.
  • Generate or improve tests.
  • Support debugging and problem investigation.
  • Summarize logs, errors, or technical context.
  • Compare implementation approaches.
  • You remain responsible for validating AI-assisted output and for the quality, security, and maintainability of the code you deliver.

We are looking for engineers who demonstrate:

  • Ownership: You take responsibility for your area of work and follow changes through to production outcomes.
  • Customer focus: You consider the impact of your work on customers and other engineering teams.
  • Pragmatism: You choose practical solutions and ask for context when trade-offs are unclear.
  • Quality: You care about testing, maintainability, reliability, and operational readiness.
  • Curiosity: You want to understand how systems work beyond the immediate code you are changing.
  • Communication: You share progress, raise risks early, and collaborate constructively with others.
  • Growth: You actively build deeper skills in cloud platforms, distributed systems, and technical design.

We are looking for engineers who demonstrate:

  • Perks and Benefits
  • Company Stock Options (Every employee is an owner in the company)
  • Health Benefits (LuxMed Premium Rehab + Dentistry III)
  • Pension Scheme with a match
  • Life Insurance, 100% premium paid by WP Engine
  • Free Multisport Card - Light and Classic
  • Short-Term Disability & Sick Leave: 100% salary coverage for the first 33 days
  • Employee Assistance Program
  • Generous Vacation Time (Who doesn’t like time off)
  • 1 floating holiday
  • 4 Company Wellness Days
  • Home Office Stipend
  • On-going education through LinkedIn Learning, Workday Learning and our Career Growth Portal
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FocoSoftware EngineeringÁrea del rol
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StackAWS, CI/CD, DockerSkills principales
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