StrongSD

We are looking for a Front-End Engineer to join a fast-growing technology company building advanced AI-powered solutions for enterprise environments. The product helps automate complex workflows and enables users to interact with intelligent systems through intuitive, high-quality interfaces.

You’ll play a key role in shaping the interfaces that connect users with AI-powered tools, working closely with product designers, AI engineers, and backend developers to build clean, fast, and intuitive user experiences.

This role is a great fit for someone who enjoys fast-moving, design-conscious environments, is interested in creating seamless experiences for complex AI workflows, and brings strong technical skills and attention to detail.
 

Responsibilities

• Build beautiful, performant UIs that make AI-powered tools intuitive and powerful for enterprise users.
• Work on CUI (Conversational User Interface) design, agent dashboards, and visualisation tools that communicate complex AI outputs clearly.
• Collaborate cross-functionally with design, backend, and ML teams to turn product ideas into polished, functional front-end implementations.
• Create modular, scalable components with a strong foundation in design systems and accessibility.
• Optimise performance and responsiveness across browsers and devices.
• Continuously improve design and UX through testing, feedback, and usage data.
   

Requirements

• 7-10 years of experience in front-end development, preferably building SaaS or AI-powered applications.
• Proficiency in React, Next.js, TypeScript, HTML, and CSS.
• Experience working with design systems (e.g. Storybook, Figma handoff, Tailwind, or similar).
• Strong product and design sense, with attention to detail, polish, and usability.
• Familiarity with component-driven development and modern front-end tooling.
• A collaborative mindset and comfort working with cross-functional teams.
   

Nice to Have

• Experience building interfaces for AI or data-intensive applications.
• Experience working with real-time systems or dynamic visualisations, such as charts or streaming data.
• Experience working in a startup or fast-paced product environment.
• Experience with CUI interfaces, voice, or chat-based UX.
• Comfortable working across the stack or contributing to backend APIs.

About the Role
 

We are looking for a Senior Infrastructure Engineer to join a growing engineering team responsible for building, maintaining, and improving highly available cloud infrastructure supporting large-scale production systems.

This role combines infrastructure engineering, site reliability engineering (SRE), cloud operations, and automation. You will help ensure platform reliability, optimize cloud environments, improve observability, automate operational processes, and collaborate closely with software engineering teams to deliver resilient cloud-native solutions.
 

The ideal candidate is a hands-on infrastructure engineer who enjoys solving complex production challenges, improving system reliability, and building scalable automation.
 

Responsibilities

• Design, build, and maintain scalable, highly available cloud infrastructure.
• Improve reliability, fault tolerance, and performance across distributed systems.
• Lead production incident response, root cause analysis, and post-incident improvements.
• Develop monitoring, alerting, and automated recovery solutions.
• Optimize infrastructure performance and capacity planning.
• Build automation to reduce manual operational effort.
• Collaborate with engineering teams to improve deployment pipelines and platform reliability.
• Contribute to infrastructure-as-code and GitOps practices.
• Support cloud-native applications running in Kubernetes environments.
• Participate in on-call rotations supporting production services.
• Mentor engineers and promote infrastructure best practices.
• Continuously improve operational processes, observability, and system resilience.
   

Required Qualifications

• 5+ years of experience in Infrastructure Engineering, Site Reliability Engineering (SRE), or DevOps.
• Strong experience with AWS cloud services.
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience supporting production Kubernetes environments.
• Strong Linux administration skills.
• Experience with Docker and containerized workloads.
• Familiarity with CI/CD pipelines and deployment automation.
• Experience working with cloud-native distributed systems.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, or OpenTelemetry.
• Programming or scripting experience with Python, Go, Bash, or similar languages.
• Solid understanding of networking, security, authentication, APIs, and load balancing.
• Experience with incident management and disaster recovery practices.
• Strong communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with Kafka or other messaging platforms.
• Experience with GitOps workflows.
• Knowledge of API Gateway technologies.
• Experience with Java and Spring Framework.
• Strong database administration or performance tuning experience.
• Experience mentoring engineers and leading infrastructure initiatives.
   

Benefits

• A competitive salary and flexible compensation package
• Professional development tools (mentorship program, tech talks and trainings)
• Medical insurance
• Free corporate English classes and speaking clubs with a native speaker

We are looking for a Lead Software Engineer to join a fast-growing technology company developing AI-powered solutions for enterprise environments.

In this role, you will lead the development of AI-powered full-stack applications while mentoring and supporting other engineers. You’ll remain hands-on across the stack while taking ownership of technical direction, code quality, architecture, and delivery standards.

You’ll work closely with engineering, AI/ML, and product teams to build scalable and reliable systems that support real-time AI-driven workflows.
 

Responsibilities
 

• Design and build full-stack applications that power AI-driven workflows for enterprise users.
• Oversee and review the work of other engineers, ensuring high-quality, production-ready code.
• Provide technical guidance, architectural direction, and hands-on engineering support.
• Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
• Build scalable backend services supporting real-time AI interactions, knowledge retrieval, and automation.
• Collaborate with AI/ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready systems.
• Establish engineering best practices across testing, deployment, and performance optimization.
• Continuously improve AI-driven products while balancing development speed, scalability, and robustness.
   

Requirements
 

• 10+ years of hands-on experience building full-stack production applications.
• Previous experience leading or mentoring engineers.
• Strong proficiency in React, TypeScript, and Node.js.
• Backend development experience using Python.
• Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
• Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.
• Ability to operate effectively in a fast-paced, high-autonomy environment.
• Strong collaboration skills across engineering, product, and AI/ML teams.
   

Nice to Have
 

• Experience building AI-powered applications with LLM integrations.
• Experience working in fast-paced startup or enterprise technology environments.
• Strong UI/UX sense and experience building intuitive, AI-driven interfaces.
• Experience with GraphQL, WebSockets, or real-time data streaming.
• Contributions to open-source projects or experience building developer tools for AI.

We are looking for a Senior Full-Stack Software Engineer to join a fast-growing technology company developing AI-powered solutions for enterprise clients.

In this role, you will work across the entire stack, building high-performance front-end experiences and scalable back-end systems that support real-time, AI-driven workflows.

You’ll collaborate with engineers, AI/ML specialists, and product teams to develop reliable, production-ready solutions and intuitive interfaces for AI-powered applications.
 

Responsibilities
 

• Design and build full-stack applications that power AI-driven workflows for enterprise users.
• Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
• Build scalable backend services supporting real-time AI interactions, knowledge retrieval, and automation.
• Optimize AI-powered UIs to provide seamless and intuitive user experiences.
• Collaborate with AI/ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.
• Build robust, efficient solutions with minimal dependencies.
• Continuously improve AI-driven products while balancing user needs and technical feasibility.
   

Requirements
 

• 8+ years of hands-on experience building full-stack production applications.
• Strong proficiency in React, TypeScript, and Node.js.
• Experience with backend development using Python.
• Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
• Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.
• Ability to solve complex technical problems and work effectively in a fast-paced, high-autonomy environment.
• Strong collaboration skills and experience working with cross-functional engineering, product, design, and AI/ML teams.
   

Nice to Have
 

• Experience building AI-powered applications with LLM integrations.
• Experience working in fast-paced startup or enterprise technology environments.
• Strong understanding of UI/UX and experience building intuitive interfaces.
• Experience with GraphQL, WebSockets, or real-time data streaming.
• Contributions to open-source projects or experience building developer tools for AI.