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we are looking for an experienced Senior UI Developer to join a professional development team working on complex, enterprise-level systems for a large organization. The role focuses on developing modern, high-performance user interfaces and working with advanced UI technologies in a collaborative Agile environment.

Required DevOps Team Leader - Infra and DevEx
The role:
You will lead the DevOps Infrastructure & Developer Experience team - the team that owns the foundational layer every engineering team builds on. EKS clusters, VPCs, IAM, security boundaries, monitoring, CI/CD, and the developer workflows that tie it all together. When your infrastructure works well, every team ships faster. When it doesnt, everyone feels it.
Youll manage a team of DevOps engineers, set technical direction, and own the infrastructure platform end-to-end - from networking and compute through security and observability to the developer experience layer on top. You are accountable for the reliability, security, and usability of the shared platform, and you measure success by the outcomes it enables across the organization.
This role sits at the intersection of infrastructure depth and organizational breadth. Youll partner with Development, Platform, AI/ML, Security, and Product - ensuring the underlying systems evolve to meet their needs while maintaining the standards and guardrails that keep production safe.
Were looking for someone who has already done this - operated production infrastructure at scale, shipped developer tooling, driven AI adoption in engineering workflows, and measured the impact of
The day-to-day
Team Leadership:
Lead and grow a team of DevOps engineers - set direction, remove blockers, own the roadmap
Balance operational needs with platform investment. Represent infrastructure tradeoffs in cross-org planning
Drive hiring, onboarding, and professional growth
Infrastructure Ownership:
Own the shared layer all teams depend on - EKS, VPC, IAM, networking, security, compute (including GPU), monitoring, data services
Design and operate highly available distributed systems at scale on AWS and GCP. IaC with Terraform, multi-account, multi-region
Own security posture (IAM, network boundaries, secrets, vulnerability scanning) and observability (Prometheus, Grafana, CloudWatch, alerting).

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy.
* Partner cross-functionally to translate data findings into actionable product and business decisions.
* Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
* Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.

Experience:
6+

We are looking for a highly technical, hands-on Tech Lead to build and lead a Core Engineering Team that operates across all R&D squads.
This team will act as a force multiplier - solving complex system challenges, driving architectural improvements, and enabling development teams to move faster with higher quality.
This is a deeply hands-on role (50%), combining system design, architecture, and execution in a data-critical, high-scale environment.
What Makes This Role Different:
Not a feature team - focus on system-level problems
Not a traditional manager - strong hands-on ownership
Not advisory - drives and executes real changes in production
Works across teams - true cross-team impact
Responsibilities:
Cross-Team Technical Leadership:
Lead a Core Team working across multiple squads
Identify system-wide bottlenecks, risks, and architectural gaps
Drive alignment on engineering standards and best practices
Partner closely with Tech Leads, Product, and Dev teams
Architecture & System Design:
Own and evolve system architecture (Monolith → Modular / Services)
Reduce tight coupling and improve system boundaries
Lead major refactoring and modernization efforts
Ensure scalability, performance, and resilience
Microservice architecture (from modular monolith to microservices)
Hands-On Development (70%):
Write complex production code across services
Lead by example in code quality and design
Take ownership of the most challenging technical problems
Engineering Excellence & Enablement:
Define and enforce development standards (Code Reviews, Design Patterns)
Improve observability (monitoring, logging, alerting)
Build reusable tools, infrastructure, and shared components
Enable teams to deliver faster with higher quality
Advantage for AI driven standard validations
Mentorship & Technical Growth:
Mentor engineers and Tech Leads across teams
Raise the engineering bar across the organization
Support teams in production debugging and solving complex production issues
Tech Stack:
Backend: Node.js, (Express,nestJS), PHP (advantage)
Frontend: React, Redux, React Hooks
Data: MySQL, SQL, Redis
Infrastructure: AWS
Advantage: Experience with agent frameworks (agentic flows)

As a QA Automation Engineer at our company, you will work across multiple products, including our core platform, Lunar and Playground, ensuring a high-quality experience for our customers.

This is a hybrid QA role combining both manual and automated testing (approximately 50/50), with a strong focus on web applications and APIs.

What Youll be Doing:
Design and execute test plans, test cases and exploratory testing scenarios for web applications and APIs.
Perform functional, regression and end-to-end testing.
Review product requirements, identify gaps and challenge assumptions.
Collaborate closely with Product Managers and Developers throughout the development lifecycle.
Build and maintain automated regression tests for key user flows.
Validate data accuracy, system behavior and product functionality.
Identify, document and track defects through resolution.
Investigate production issues and verify bug fixes.

You will join our Media & Telecom division, building and operating mission-critical TV and streaming platforms used by global telecom operators.

This is a hands-on DevOps + SRE hybrid role, focused on engineering, reliability, and large-scale production systems. The team is responsible for designing, improving, and operating highly available services in a fast-moving, production-driven environment.

You will work closely with R&D, NOC, and Product teams, taking ownership of system behavior in production and driving continuous improvements in scalability, performance, and automation.

The day-to-day
Design, build, and improve scalable, highly available systems running on AWS
Work deeply with Kubernetes (K8s), Docker, and Helm charts in production environments
Build and maintain CI/CD pipelines (Jenkins, Argo Workflows) to support rapid and reliable delivery
Develop and manage infrastructure using Terraform (Infrastructure as Code)
Troubleshoot and resolve complex issues in distributed systems across application, infrastructure, network, data, and observability layers
Improve system reliability, monitoring, and observability using tools such as Prometheus, Coralogix (or similar)
Build, integrate, and operate AI-based systems and agents as part of production services
Collaborate with R&D, NOC, and Product teams to drive system improvements and resolve production challenges
Take part in on-call rotations as part of shared production ownership