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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in developing and maintaining backend applications using Go, with a strong focus on cloud-based solutions utilizing AWS services. Proficient in designing RESTful APIs, managing databases, and optimizing containerized applications while ensuring high performance and security.
Highest-signal resume keywords
GoLang DevelopmentAWS Services (EC2, Lambda, S3, SQS, SNS)Docker and Kubernetes (EKS)RESTful and gRPC API DesignInfrastructure as Code (Terraform)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GoLangAWSPostgreSQLNeo4JDockerKubernetesRESTful APIsGRPCTerraformCI/CD (GitHub Actions)
Soft Skills
Problem-SolvingCollaborationHigh Ownership MentalityStartup MindsetExcellent Communication
Tools & Technologies
GrafanaOpenTelemetryPrometheusClaude CodeGitHub CopilotAWS CodeWhispererKafkaAI Stack (AWS Bedrock, LangChain)
Industry Keywords
SaaS PlatformsCloud-Native SystemsAI-Powered SecurityIdentity Risk ManagementEvent-Driven Architectures
Tech Stack
Tools & technologiesAWSCloudDockerEC2ElasticSearchGrafanaGRPCKafkaKubernetesNeo4jPostgresPrometheusPythonRedisTerraformGo
About the role
Key responsibilities & impact- Develop and maintain backend applications using Go
- Design and optimize cloud-based solutions using AWS services including EC2, Lambda, S3, SQS, and SNS
- Design, use, and manage databases including PostgreSQL, Neo4J, Redis, and Elasticsearch
- Develop, manage, and optimize containerized applications using Docker
- Automate processes using Bash/Python scripting
- Optimize and maintain RESTful APIs for security and performance
- Work closely with frontend engineers, DevOps, and the product team to deliver robust applications
- Monitor, debug, and improve backend performance, reliability, and scalability
- Implement caching, messaging queues, and event-driven architectures where needed
- Build the whole platform from scratch
- Help design the core security, identity, and enforcement foundations of an AI-powered security risk management platform
- Shape core platform components and how enterprises manage and reason about identity risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents
Requirements
What you’ll need- 5+ years of GoLang experience
- Hands-on coding mentality; ability to build things from scratch and familiarity with different architectures
- Hands-on experience with Docker, Kubernetes (EKS), and containerized workloads
- Experience designing RESTful and gRPC APIs and using frameworks like Gin
- Hands-on experience with messaging systems such as SQS and Kafka
- Experience with CI/CD pipelines such as GitHub Actions
- Experience operating PostgreSQL (RDS/Aurora), Neo4J or similar
- Experience with AI agents, LLM-based systems, MCP, RAG, prompts, embeddings, vectors, or similar
- Experience with AI stack such as AWS Bedrock, LangChain, and pgvector or similar
- Experience with Infrastructure as Code, especially Terraform
- Experience with monitoring, logging, and observability tools such as Grafana, OpenTelemetry, and Prometheus
- Ability to troubleshoot production issues end to end
- Experience with coding copilots such as Claude Code, GitHub Copilot, AWS CodeWhisperer, or Codex
- Experience supporting production SaaS platforms
- Strong understanding of SaaS integrations and app-to-app permission flows
- High ownership mentality, startup mindset, and ability to move quickly
- Experience in startup or scale-up environments
- Low ego, high commitment, and a true tech startup mentality
- Strong problem-solving skills and ability to work in a collaborative environment
- Excellent English communication skills
Benefits
Comp & perks- Founding Team Member Equity — ESOPs in a cybersecurity company
- Competitive compensation — salary aligned with market, flexible early-stage arrangements possible
- Founding Team Member Status — shape the company from day one and own critical technical decisions
- Fresh funding secured — immediate runway to build, hire, and execute fast
- Security contribution — contribute to security architecture across identity, AI agents, and enforcement
- High autonomy — freedom to design and build without corporate overhead
- Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction
- Cutting-edge domain — identity security, SaaS-to-SaaS access, AI agent governance
- Massive learning curve — quickly gain depth in cybersecurity, identity, and AI systems
- Fast career path — opportunity to evolve into leadership as the engineering team scales
- Berlin location — top-tier tech environment with strong cybersecurity and AI ecosystems
- Direct impact — architecture and code become the foundation of the entire platform
- Best equipment and tools — high quality equipment and modern tools to help you do your best work from day one
- Team offsites — regular team offsites designed to build strong connections, alignment, and shared momentum