We are looking for a strong Site Reliability Engineer to help build, maintain, and scale a modern cloud-native engineering platform. This role goes beyond basic infrastructure support — it requires someone who can own deployment systems, improve developer experience, strengthen security, and drive reliability across a large service landscape.The ideal candidate will be comfortable working across Kubernetes, Terraform, GCP, GitOps, observability, and incident management, while also having enough software engineering depth to build internal tools and production-grade platform components.This role will play a key part in enabling product teams to deploy safely, operate reliably, and move faster at scale.
Key ResponsibilitiesPlatform & Deployment EngineeringDevelop and maintain a custom GitOps deployment platform using tools such as ArgoCD, Kustomize, and GitHub ActionsBuild and support canary release workflows, hotfix pipelines, and ephemeral sandbox environmentsCreate and maintain reusable CI/CD workflows and support large-scale framework migrationsMaintain self-hosted GitHub Actions runners
Cloud Infrastructure & KubernetesManage GKE clusters across multiple GCP projectsMaintain and extend Istio service mesh, Kyverno policies, and Terraform-managed infrastructureSupport multi-environment infrastructure and cloud platform operations at scale
Observability & ReliabilityOwn Datadog integration end-to-end, including:APMRUMDORA metricsalerting pipelinesdeployment trackingon-call schedulesParticipate in on-call rotationsLead post-mortems and drive reliability improvements across 100+ servicesSupport product teams on reliability, performance, and deployment-related questions
Security & Access ManagementManage GCP IAM, Workload Identity Federation, and Privileged Access ManagementStrengthen container security and software supply-chain security practicesEnsure secure and scalable access patterns across cloud infrastructure and deployment workflows
KPIsStability and reliability of deployment workflows across services and environmentsReduced deployment risk through effective canary, hotfix, and sandbox strategiesImproved platform reliability and incident response outcomesHigh-quality observability coverage across services, including actionable alerts and metricsEffective management of multi-project GCP and Kubernetes infrastructureFaster and safer engineering delivery through reusable platform tooling and CI/CD improvementsReduction in operational toil for product and engineering teams
Must-Have Skills & ExperienceStrong hands-on experience with Kubernetes, including operating and extending clusters (e.g. admission controllers, operators, CRDs)Strong experience with Terraform for managing infrastructure across multiple environmentsStrong experience with GCP, especially:GKEIAMWorkload IdentityCloud SQLnetworkingExperience with CI/CD and GitOps tooling, such as:GitHub ActionsArgoCDsimilar deployment automation toolsStrong knowledge of observability, including dashboards, alerting, and SLO definitionStrong understanding of networking and security, including:service meshingressDNSTLScontainer securitysupply-chain security fundamentalsStrong software engineering ability in at least one of:PythonGoKotlin/JVMTypeScriptAbility to design, build, test, and maintain production-grade applications and internal toolingExperience with incident response, on-call, and structured incident management
Nice-to-Have SkillsExperience with Istio / Envoy proxy configurationExperience with Kyverno or OPA/GatekeeperExperience managing Kafka / Confluent Cloud infrastructureBackground in internal developer platforms or platform engineeringFamiliarity with DORA metrics and engineering effectiveness practices
TraitsStrong ownership mindset and comfort operating in complex production environmentsReliable and calm under pressure, especially during incidentsSystems thinker with a strong focus on scalability, security, and maintainabilityCollaborative partner who can support product teams and improve developer experiencePractical engineer who can balance infrastructure, tooling, and software engineering needs
What We Offer:Competitive salary and benefits.A dynamic and supportive work environment.Opportunities for professional growth and development.The chance to work on cutting-edge technologies and projects.
Who we are:Wolkk is an offshore outsourcing company dedicated to connecting international clients with top talent in Indonesia. Our mission is to enable young professionals in Indonesia to learn and grow by working with international clients. We help clients recruit and manage their employees in Indonesia, fostering an environment where talent can thrive and businesses can achieve their goals. Join us at Wolkk and be part of a dynamic team that bridges global opportunities with local expertise.
Our values: Trust and RespectThirst for learningAgile and FlexibleQuality Driven
As an Agentic Backend Engineer, you will play a critical role in shaping the next generation of software development. Instead of focusing primarily on writing code, you will design AI-driven systems that build, test, and deploy microservices autonomously.This role centers on agentic engineering, where AI agents handle most of the development lifecycle while you architect the systems that guide, verify, and improve their output.
The expected approach follows the 90/10 principle:90% of the time: designing agent frameworks, orchestration logic, system architecture, prompts, and verification loops.10% of the time: hands-on coding for complex edge cases, final refinements, and critical logic that requires human expertise.
You will contribute to the client’s SaaS platform powering digital receipts and tamper-proof fiscal transactions, ensuring the systems remain secure, reliable, and compliant.
Key Responsibilities:Agentic OrchestrationDesign and implement multi-agent workflows that automate the software development lifecycle.Work with frameworks such as LangChain, LangGraph, or custom Golang-based orchestrators.Autonomous System DevelopmentBuild systems capable of transforming high-level requirements into production-ready Golang microservices.Agent-Friendly ArchitectureDesign APIs and system boundaries that are optimized for LLM interaction and autonomous code generation.Ensure agents can navigate and extend the codebase reliably without introducing hallucinated logic.Reliability & VerificationDevelop automated validation systems and "Judge agents" that audit generated code.Ensure strict compliance with fiscal security and digital signature requirements.Human-in-the-Loop DesignDefine critical checkpoints where human expertise is required to ensure quality, safety, and compliance.Infrastructure & Distributed SystemsWork within cloud-native environments and Kubernetes-based architectures to integrate agentic workflows into existing infrastructure.
KPIs / Success Metrics:Successful implementation of agent-driven microservice generation pipelinesReduction of manual coding effort through effective AI orchestrationStability and reliability of generated systems meeting production standardsCompliance with fiscal and digital signature security requirementsImproved development velocity through agentic automation frameworksMaintainability and extensibility of the agent-friendly architecture
Must-Have Skills & Experience:5+ years of backend development experience using GolangStrong experience with object-oriented programming languagesProven experience with distributed systems and microservice architecturesSolid knowledge of cloud-native infrastructure, Kubernetes, and scalable systemsPractical experience using AI tools to accelerate development workflowsAbility to detect and correct AI-generated code issues or hallucinationsStrong understanding of API design and system boundariesExperience designing automation frameworks or engineering productivity tools
Nice-to-Have Skills:Experience with multi-agent orchestration frameworks (LangChain, LangGraph, etc.)Experience building AI-assisted development pipelinesKnowledge of LLM prompt design and feedback loopsExperience working with secure or compliance-driven systemsAdditional European language proficiency
Traits We’re Looking For:Force-Multiplier MindsetStrong inclination to automate repetitive work and leverage AI to increase productivity.Systems ThinkerAbility to design architectures that integrate AI agents into complex engineering systems.Quality-FocusedHigh attention to detail, especially when validating or refining AI-generated code.Innovative Problem SolverComfortable working at the intersection of AI, software engineering, and distributed systems.
We are looking for a Senior Backend Engineer (Golang) who operates not just as a developer, but as a system architect. This role is focused on delivering business value through scalable backend systems, strong API design, and modern cloud-native engineering practices.The ideal candidate will use AI-assisted development tools and automation to reduce repetitive work and focus their attention on distributed systems, architecture, reliability, and platform evolution.You will be part of a high-performing team responsible for API-first SaaS solutions, helping shape a unified service interface and ensuring the fiscalization platform remains scalable, resilient, and easy to extend.
Key ResponsibilitiesArchitecture & Backend DevelopmentDesign and build resilient, high-performance Golang microservicesTake ownership of services end-to-end, from architecture through deploymentSolve complex distributed systems challenges with strong focus on scalability and reliabilityAI-Augmented EngineeringUse AI coding assistants and generative AI tools to accelerate boilerplate creation, unit testing, and documentationApply automation to improve development velocity while maintaining code qualityFocus engineering effort on complex business logic and architectural problemsContinuous Delivery & Platform ReliabilityWork in a Continuous Everything / GitOps environmentSupport frequent, reliable deployments through strong automated testing and monitoring pipelinesContribute to platform stability, observability, and operational confidenceAPI & Platform DesignDesign and evolve a unified interface for servicesEnsure APIs are intuitive, strictly typed, and self-documentingTreat API design as a first-class engineering concernAI / ML IntegrationIntegrate AI and ML capabilities into the platform where they add valuePotential use cases include:anomaly detection in transaction logsautomated error classificationintelligent platform enhancementsLeadership & MentoringMentor junior developers on:Golang best practicesbackend architecturemodern cloud-native developmentproductivity through AI-augmented engineering
KPIsDelivery of scalable and reliable Golang microservicesQuality and maintainability of system architecture and API designDeployment confidence and engineering velocity in a continuous delivery environmentEffective use of AI-assisted tools to improve development efficiencyStability and performance of services in productionContribution to platform evolution, technical standards, and team capability building
Must-Have Skills & Experience5+ years of full-time backend development experienceStrong expertise in GolangStrong understanding of object-oriented programming principles and SOLID design principlesDeep knowledge of distributed systems, including:eventual consistencyfault tolerancereliability patternsdistributed systems trade-offsStrong experience designing and building microservicesPractical experience with Docker and KubernetesStrong understanding of RESTful and RPC-based APIsExperience with asynchronous messaging systems such as; RabbitMQ, Kafka, PubSubAbility to decide when to use asynchronous vs synchronous communicationExperience with cloud platforms, ideally GCPGood knowledge of database design strategies, including relational and NoSQL approachesStrong communication skills and ability to explain complex architecture clearly
Nice-to-Have SkillsExperience using AI coding assistants such as GitHub Copilot or other generative AI toolsHi Experience applying AI-assisted workflows to software developmentExposure to GitOps and modern deployment automation practicesExperience integrating AI / ML capabilities into backend systemsExperience mentoring engineers in modern backend and platform engineering practices
TraitsArchitect-level thinker with strong ownership mindsetFocused on delivering value, not just writing codeComfortable using modern tools and automation to improve efficiencyStrong problem solver in complex distributed environmentsQuality-driven and reliability-focusedClear communicator who can work across technical and non-technical stakeholders
What We Offer:Competitive salary and benefits.A dynamic and supportive work environment.Opportunities for professional growth and development.The chance to work on cutting-edge technologies and projects.
Who we are:Wolkk is an offshore outsourcing company dedicated to connecting international clients with top talent in Indonesia. Our mission is to enable young professionals in Indonesia to learn and grow by working with international clients. We help clients recruit and manage their employees in Indonesia, fostering an environment where talent can thrive and businesses can achieve their goals. Join us at Wolkk and be part of a dynamic team that bridges global opportunities with local expertise.
Our values: Trust and RespectThirst for learningAgile and FlexibleQuality Driven
