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Requirements:
High proficiency in English and Thai (spoken and written) - mandatory .
Legally eligible to work in Israel
Strong sales skills with a customer-first mindset
A team player with a fast-learning attitude and ambition to grow
Good understanding of digital and technology-driven products
Excellent communication and storytelling skills
Commitment to long-term employment
High level of independence, responsibility, and adaptability
Hold a valid drivers license
Bonus Skills :
Previous experience in fintech, community management, or field operations
Experience working with multicultural and migrant communities
Background in growth initiatives, partnerships, or market expansion

Requirements:
BSc in Computer Science or related field, or equivalent practical experience.
10+ years of experience as a Software Engineer, with a focus on infrastructure, DevOps and CI systems.
Strong proficiency in Python/Go and backend development.
Strong, hands-on experience with GitHub Actions and CI/CD pipeline design.
Experience with test infrastructure and CI reliability engineering (e.g, test stability analysis, execution optimization).
Experience with container technologies (Docker, Kubernetes), including managing test environments (ephemeral and persistent).
Experience with infrastructure automation and IaC.
Experience with observability/monitoring tooling (e.g. Grafana, dashboards, metrics pipelines).
Working experience with Azure cloud services (e.g. AKS, Blob Storage).
Comfortable working in Linux environments.
Strong problem-solving skills, attention to detail, and comfort operating under release-pressure/escalation conditions.
Strong cross-team communication - you'll regularly work with engineers across many different teams to triage and resolve failures.
Advantages
Experience with test automation frameworks beyond Python - e.g. TypeScript/Playwright.
Experience building or integrating AI/LLM-assisted developer tooling.
Comfort with statistical or data-driven decision systems (e.g. scoring/classification logic, not just rule-based automation).
Experience with workflow engines and their implementation.
Experience with distributed systems.
Knowledge of frontend development.
Experience with high-availability systems.
Background in API development and integration.
Experience with security best practices and implementation.

Requirements:
7+ years of professional experience as a software engineer, building and maintaining production systems.
Demonstrated ability to lead the design and implementation of complex systems.
Proven experience designing and implementing classical algorithms (not AI/ML) and data structures in production environments.
Strong experience with database systems, both SQL and NoSQL, including schema design and performance considerations.
Ability to quickly learn new technologies and programming languages and apply them effectively to complex systems.
Strong proficiency in C++ and Python.
Experience with Rust - an advantage.
BSc in Computer Science or a related field, or equivalent practical experience.

Requirements:
9+ years of backend development experience
2+ years of hands-on NodeJs OR Python OR GO experience - or strong motivation to learn and use it in production- big advantage.
Experience with distributed, high-scale systems.
Proven experience designing and building high-scale, production systems
Deep understanding of backend architecture, distributed systems, and APIs
Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale
Experience working with databases (relational and/or NoSQL), including schema design and performance considerations
Solid knowledge of modern backend technologies and frameworks
Experience collaborating across teams in a large or multi-team environment
Strong communication skills and the ability to lead through influence
Nice to Have
Familiarity with containerization tools (Docker/Kubernetes)
Exposure to caching systems (e.g., Redis) or event-driven architectures
Prior experience leading a technical area or subsystem
Experience with Cursor
Education And/or Relevant Experience
BSc in Computer Science, Software Engineering, or a related technical field; or equivalent hands-on experience in software development
If your experience is close but doesnt fulfill all requirements, please apply. we are on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.

Requirements:
3+ years of experience as a Product Manager in B2B SaaS, with a proven background as a Software Engineer / Developer prior to transitioning into product management.
Significant hands-on software development experience, ideally within cloud-native architectures, Kubernetes, microservices, or AI-driven solutions.
A data-driven mindset with the ability to approach challenges strategically and identify impactful solutions.
You know to operate independently, move quickly, and keep work organized.
Excellent verbal and written communication abilities, capable of translating complex technical concepts for various audiences, including non-technical stakeholders.
Proven ability to work effectively across diverse teams, managing multiple stakeholders and aligning priorities to drive product success.

Requirements:
Technical Skills
- 5+ years of hands-on DevOps experience with a strong software development background - prior development experience is a must
- B.Sc. in Computer Science or equivalent practical experience
- Strong programming skills in Python (or a similar high-level language); ability to write and own production tooling
- Proven experience designing and building scalable systems, automation frameworks, and infrastructure as code using Terraform and Helm
- Solid understanding of Linux, containers (Docker), and Git-based workflows
- Hands-on experience with CI/CD at scale using GitHub Actions or similar - including reusable actions, workflow design, and automation frameworks
- Deep experience with hybrid cloud infrastructure (AWS and on-prem), including EKS, ARC, Karpenter, ECR, S3, Direct Connect, VPC endpoints, IAM/OIDC, and Secrets Manager
- Experience operating spot and on-demand runner pools for builds, DinD tests, releases, and security scans across multiple AWS regions
- Experience with DinD environments (Sysbox, EBS/NVMe, memory limits, overlay storage, MTU/networking) and build caching (BuildKit, sccache, Valkey)
- Experience connecting on-prem/self-hosted runners and routing physical device (wbox) test jobs by site and device type
- Experience implementing DevSecOps controls and improving platform observability, cost efficiency, and reliability
- Platform & tooling familiarity: Kubernetes (EKS, on-prem) GitHub Actions ARC Karpenter Terraform Helm Docker/DinD Sysbox containerd BuildKit ECR S3 ElastiCache (Valkey) sccache Direct Connect VPC endpoints IAM/OIDC Secrets Manager self-hosted runners
Soft Skills
- Strong system-level thinking and troubleshooting skills; able to diagnose and resolve complex infrastructure issues independently
- Takes end-to-end ownership and drives problems to resolution without hand-holding
- Excellent communication and cross-team collaboration skills; comfortable working alongside large engineering organizations
Nice to Have / Advantage
- Experience with Jenkins
- Familiarity with GitHub merge queue
- Experience with MinIO or on-prem S3 caching
- Hardware-in-the-loop CI experience
- MTU/VPC networking tuning expertise
- Monorepo CI optimization experience.

Requirements:
Technical Skills
5+ years of DevOps / platform engineering experience in a product company.
Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control.
Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering.
Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch).
Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry.
Comfortable operating in air-gapped environments without managed cloud services.
Soft Skills
Strong cross-functional collaboration - works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding.
Comfortable owning production reliability and on-call responsibilities.
Nice to Have / Advantage
Experience with OpenShift, KEDA, and Temporal.
Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar).
GPU scheduling and node readiness, model packaging for offline delivery.
Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse).