ami engineer

full stack developer Jobs in Manama Bahrain

full stack developer

full stack engineer Jobs in Manama Bahrain

full stack engineer

full-stack engineer (performance and service monitoring) Jobs in Manama Bahrain

full-stack engineer (performance and service monitoring)

full-stack engineer (recommendation systems) Jobs in Manama Bahrain

full-stack engineer (recommendation systems)

full stack engineer performance and service monitoring

nineDots.io

<div>
 
 
 Full-Stack Engineer (Performance and Service Monitoring)
 
 
 
 Real-Time Systems - Reliability Engineering - AI Platform
 
 
 
 
 
 
 
 Join a fast-growing AI company helping global enterprises accelerate the adoption of applied AI. You will design and develop monitoring and performance systems that keep a high-usage platform stable, fast, and secure across demanding environments.
 
 
 
 
 
 
 
 
 The Role
 
 
 
 As a Full-Stack Engineer focused on performance and service monitoring, you will design, build, and evolve the systems that ensure uptime, reliability, and real-time responsiveness across the platform. You will work across engineering, product, and compliance to improve observability, build dashboards, and maintain high availability.
 
 
 
 
 
 
 
 This is a hands-on engineering role that blends full-stack development with real-time monitoring, performance optimisation, and reliable system behaviour.
 
 
 
 
 
 
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Designing and implementing performance monitoring systems across the platform.
 </li>
 <li>
 Building dashboards, alerting pipelines, and observability tooling.
 </li>
 <li>
 Developing performant frontend features using Next.js and React.
 </li>
 <li>
 Creating backend APIs and microservices using Node.js and Python.
 </li>
 <li>
 Implementing WebSocket and event-driven architectures for real-time data flow.
 </li>
 <li>
 Ensuring monitoring systems align with SOC 2, ISO 27001, and ISO 27018.
 </li>
 <li>
 Integrating notifications into tools like Slack and Microsoft Teams.
 </li>
 <li>
 Continuously improving system reliability, latency, and uptime.
 </li>
 </ul>
 
 
 
 
 
 
 
 What You Need To Succeed
 
 
 <ul>
 <li>
 Strong experience in full-stack engineering.
 </li>
 <li>
 Proficiency with Next.js, React, Node.js, and Python.
 </li>
 <li>
 Experience with monitoring, observability, or real-time systems.
 </li>
 <li>
 Familiarity with CloudWatch, Prometheus, Grafana, or similar stacks.
 </li>
 <li>
 Experience with WebSockets and event-driven architectures.
 </li>
 <li>
 Strong understanding of secure coding and compliance alignment.
 </li>
 <li>
 Comfortable working across cloud environments and CI/CD pipelines.
 </li>
 <li>
 Strong problem-solving skills with a focus on reliability and performance.
 </li>
 </ul>
 
 
 
 
 
 
 
 What&rsquo;s In It For You
 
 
 <ul>
 <li>
 Ownership of critical monitoring and reliability systems across a global AI platform.
 </li>
 <li>
 Modern tooling and real-time engineering challenges.
 </li>
 <li>
 Competitive salary and flexible work setup.
 </li>
 <li>
 Work with a fast-growing AI company supporting major enterprises.
 </li>
 <li>
 Equity potential and an environment that values technical excellence.
 </li>
 </ul>
 
 
 
 
 
 
 
 Next Steps
 
 
 
 If this role matches the type of engineering challenges you want to work on, we would like to hear from you. Send your CV or reach out in confidence for more details.
 
</div>

Full-Stack Engineer (Performance and Service Monitoring)

<div>
 
 
 Full-Stack Engineer (Recommendation Systems)
 
 
 
 AI Product - Applied Machine Learning - Global Enterprise Impact
 
 
 
 
 
 Join a scaling AI company working at the intersection of enterprise transformation and applied machine learning. You will help build the recommendation backbone behind an AI agent used by Fortune 500 clients across multiple industries. This is a hands-on engineering role focused on real product impact, ML integration, and user-level personalisation.
 
 
 
 
 
 
 The Role
 
 
 
 As a Full-Stack Engineer focused on recommendation systems, you will work across product, engineering, and machine learning teams to design and deliver personalised user experiences inside a platform used at scale. This role blends core full-stack engineering with practical ML integration and a strong focus on secure, compliant delivery.
 
 
 
 
 
 You will work with modern frameworks, build end-to-end features, and optimise algorithms that power coaching, insights, and behaviour change across global organisations.
 
 
 
 
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Building and improving recommendation algorithms that deliver personalised coaching and insights.
 </li>
 <li>
 Developing secure and responsive interfaces using Next.js and React.
 </li>
 <li>
 Creating scalable backend services and APIs using Node.js and Python.
 </li>
 <li>
 Integrating machine learning and LLM-driven models into production systems.
 </li>
 <li>
 Supporting compliance across SOC 2, ISO 27001, and ISO 27018.
 </li>
 <li>
 Working with product and ML teams to convert data signals into user-facing features.
 </li>
 <li>
 Continuously improving model accuracy and feature performance at scale.
 </li>
 <li>
 Supporting platform growth and enterprise-level usage through scalable architecture.
 </li>
 </ul>
 
 
 
 
 
 What You Need To Succeed
 
 
 <ul>
 <li>
 Strong experience in full-stack development.
 </li>
 <li>
 Proficiency in Next.js, React, Node.js, and Python.
 </li>
 <li>
 Experience with recommendation algorithms or ML-powered applications.
 </li>
 <li>
 Familiarity with LLMs, NLP techniques, or model integration.
 </li>
 <li>
 Understanding of secure coding, data protection, and compliance frameworks.
 </li>
 <li>
 Experience integrating with tools like Slack or Microsoft Teams.
 </li>
 <li>
 Comfortable owning features end-to-end in an agile environment.
 </li>
 <li>
 A mindset focused on data-driven, user-level value.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s In It For You
 
 
 <ul>
 <li>
 Ownership of core recommendation capabilities.
 </li>
 <li>
 Work with a modern stack and applied machine learning.
 </li>
 <li>
 Competitive salary and a flexible working environment.
 </li>
 <li>
 Impact on systems used by major global enterprises.
 </li>
 <li>
 Equity potential in a high-growth AI company.
 </li>
 <li>
 Collaborative, diverse team building meaningful products.
 </li>
 </ul>
 
 
 
 
 
 Next Steps
 
 
 
 If you are exploring full-stack roles with ML integration and real product impact, we would like to hear from you. Send your CV or get in touch in confidence for more information.
 
</div>

Full-Stack Engineer (Recommendation Systems)

Career Maker

Mid-level Full-Stack Engineer with a focus on recommendation systemsJob OverviewWe are seeking a mid-level Full-Stack Engineer with a focus on recommendation systems to join our team. You will play a key role in designing, developing, and optimizing recommendation algorithms and end-to-end features for our AI-driven coaching platform. Working closely with engineering, product, and machine learning teams, you&rsquo;ll help deliver personalized, scalable, and secure user experiences. This role requires expertise in Node.js, Next.js, React, Python, and familiarity with recommendation systems, LLMs, and security compliance (SOC 2, ISO 27001, ISO 27018).Key ResponsibilitiesRecommendation Systems Development: Build, optimize, and maintain recommendation algorithms using machine learning techniques and LLMs to deliver personalized coaching content and insights.Full-Stack Development: Develop and maintain web and mobile applications using Next.js, React, and Node.js, ensuring responsive, secure, and performant features.Backend &amp; API Development: Design and implement RESTful APIs and backend services using Node.js and Python, focusing on scalability and integration with recommendation systems.Machine Learning Integration: Collaborate with the ML team to integrate and deploy recommendation models into production, ensuring data security and compliance.Security Compliance: Work with compliance teams to implement and audit features to meet SOC 2, ISO 27001, and ISO 27018 standards, ensuring secure data handling in recommendation systems.Collaboration: Partner with product, design, and ML teams to translate requirements into user-centric, compliant solutions.Continuous Improvement: Contribute to platform scalability and performance by auditing and enhancing recommendation system accuracy and responsiveness.QualificationsExperience: 3+ years of full-stack development experience, with hands-on work in recommendation systems or machine learning-driven applications.Tech Stack Expertise:Frontend: Proficiency in Next.js and React for building responsive, secure, and performant user interfaces.Backend: Strong knowledge of Node.js for scalable APIs and microservices, with experience in Python for data handling and ML integration.Recommendation Systems: Familiarity with building or integrating recommendation algorithms, ideally using LLMs or NLP techniques.Compliance Knowledge: Basic understanding of SOC 2, ISO 27001, and ISO 27018 standards, with experience in secure coding practices and data protection.Integration Experience: Experience with Slack and Microsoft Teams integrations, including bot development and webhooks.DevOps and Cloud: Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS preferred), with an understanding of cloud security best practices.Agile Development: Experience with agile methodologies and tools like Git and Jira in collaborative environments.Key SkillsRecommendation Systems Focus: Ability to build and optimize recommendation algorithms with a focus on user personalization and data-driven insights.Security-First Mindset: Understanding of secure coding practices and compliance requirements for data protection.Problem Solving: Strong analytical skills to address challenges in recommendation system performance and scalability.Effective Communication: Ability to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.User-Centric Approach: Commitment to building secure, personalized, and user-friendly experiences.Job Type: Full-timePay: BD1,200.000 - BD1,500.000 per monthApplication Question(s):<ul><li>How many years of experience do you have in full-stack development, with hands-on work in recommendation systems or machine learning-driven applications</li></ul>

Full Stack Engineer

Keops AI

<div>
 
 
 Mission
 
 
 
 Keops is building the sleekest, most automated company in Bahrain. We live by the mantra &ldquo;build before hire,&rdquo; using our own operations as the testing ground for next-generation automation and AI. As a Forward Deployed Engineer, you&rsquo;ll transform our internal stack, create products that enable us to function with minimal support roles, and then become a client-facing consultant deploying AI across the GCC.
 
 
 
 
 
 
 About Keops
 
 
 
 Keops is an AI Strategy &amp; Implementation consulting company. We help corporate clients build AI automations and custom tools that supercharge their operations. We transform processes, rules, and knowledge into software. Our consultants own the relationship end-to-end with each client&mdash;understanding their business needs, then designing and implementing state-of-the-art solutions in record time.
 
 
 
 
 
 
 About Forward Deployed Engineers
 
 
 
 A forward deployed engineer (FDE) is a software engineer who works directly with customers, often embedding within their teams to implement, customize, and optimize complex technology products in real-world environments. FDEs serve as a bridge between core product engineering and the client, blending technical expertise with deep customer interaction to solve challenging, domain-specific problems.
 
 
 
 
 
 
 Key objectives
 
 
 <ul>
 <li>
 
 Internal Automation &amp; Tools:
 
 &nbsp;Deliver at least six major internal automation products within six months, driving adoption and eliminating support bottlenecks.
 </li>
 <li>
 
 Process Velocity:
 
 &nbsp;Ship improvements to software methodology and delivery every month, assessed by shorter release cycles and higher solution quality.
 </li>
 <li>
 
 Consulting Delivery:
 
 &nbsp;Within your first year, deploy two custom AI solutions for enterprise clients, managing the relationship, design, and implementation end-to-end.
 </li>
 <li>
 
 Business Impact:
 
 &nbsp;Consistently translate customer business needs into impactful technical solutions, achieving high satisfaction and repeat business.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, build, and launch internal tools and SaaS products that automate Keops&rsquo; core company operations.
 </li>
 <li>
 Identify business opportunities we can turn into products
 </li>
 <li>
 Lead customer-facing consulting projects, from requirements gathering with C-level stakeholders to shipping and supporting tailored AI solutions.
 </li>
 <li>
 Engage monthly in process review and propose tangible improvements to delivery speed and software excellence.
 </li>
 <li>
 Evaluate new technology, integrate best practices, and advocate Keops&rsquo; automation-centric culture within and outside the team.
 </li>
 <li>
 Mentor incoming team members, sharing automation and engineering excellence.
 </li>
 </ul>
 
 
 
 
 
 Required Competencies
 
 
 <ul>
 <li>
 Autonomous, fast learner, and strong initiative. You hate being told what to do.
 </li>
 <li>
 Full-stack software engineer. Outstanding at building user friendly software from scratch.
 </li>
 <li>
 Excellent business sense, able to bridge technical and executive client needs.
 </li>
 <li>
 Good design and UX sense. You can craft good looking UI without relying on anyone.
 </li>
 <li>
 Reliable, optimistic, and driven by customer value.
 </li>
 <li>
 Bahraini nationals preferred
 </li>
 </ul>
 
 
 
 
 
 Tech Stack
 
 
 <ul>
 <li>
 Our foundation is 100% Javascript/TypeScript: React, React Native &amp; NodeJS
 </li>
 <li>
 That&rsquo;s it, the rest you can pick-up.
 </li>
 </ul>
 
 
 
 
 
 Why Join Keops?
 
 
 <ul>
 <li>
 ﻿Radical engineering culture&mdash;zero bureaucracy, all impact.
 </li>
 <li>
 Learn more than you ever will, grow into a leading expert in the field of AI and automation.
 </li>
 <li>
 Influence and own automation in the fastest-moving AI consultancy in the GCC.
 </li>
 <li>
 Direct exposure to leading GCC businesses and C-level innovation.
 </li>
 <li>
 Initiative is celebrated and rewarded: bring in consulting clients, suggest products ideas, participate in product strategy and go-to-market.
 </li>
 </ul>
</div>

Forward Deployed Engineer

Computer World S.P.C.

We&rsquo;re looking for skilled Systems Administrators 3 years of experience in Microsoft platforms, Office 365, and AWS Cloud.Key Responsibilities:<ul><li>Server administration, maintenance, troubleshooting &amp; security</li></ul><ul><li>Managing virtualization and storage systems</li></ul><ul><li>Designing and implementing new system environments</li></ul><ul><li>Backup implementation &amp; database performance monitoring</li></ul><ul><li>Documentation of configurations and best practices</li></ul><ul><li>Software license management</li></ul><ul><li>Generating KPI reports to ensure high system availability</li></ul><ul><li>IT procurement &amp; vendor management</li></ul>Required Certifications:<ul><li>AWS Engineer (Certified)</li></ul><ul><li>Microsoft Platform / Office 365 Administrator (Certified)</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: BD400.000 - BD500.000 per month

Systems Administrators

Penny Software

About Penny SoftwarePenny is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. We are building innovative solutions to simplify procurement processes, empower businesses, and create meaningful impact.Why Join Us?We are looking for talented, growth-minded individuals eager to take on new challenges. At Penny, we nurture potential and provide an environment where every employee can thrive professionally and personally.Role Responsibilities:We are looking for a Senior Backend Engineer comfortable with the complexity of a micro-service architecture. You will construct the core, highly scalable foundation of Penny, valuing reliability, fault tolerance, and performance.This role requires a forward-thinking outlook and the ability to balance strategic planning with the agility and scrappiness needed for present needs, without sacrificing code quality. You will drive product initiatives by continuously learning new technologies and systems.Key Technologies (Primary Stack):<ul><li>Golang and Python</li><li>Micro-services and Distributed Systems</li><li>Kubernetes/Docker</li><li>GCP (Google Cloud Platform)</li></ul>Core Responsibilities:<ul><li>API Ownership: Be a key stakeholder for all internal and external API services across various features.</li><li>Design &amp; Architecture: Participate in and contribute to the technical design process, defining code architecture for a high-performance, scalable product with a minimal footprint.</li><li>Implementation: Implement robust web services, business logic, and APIs primarily using Golang.</li><li>Quality &amp; Standards: Drive and elevate engineering standards, tooling, and process improvements across the team.</li><li>Data-Driven Development: Experiment, prototype, measure, and leverage data-driven analysis to inform all development decisions.</li><li>Stakeholder Management: Effectively own end-to-end initiatives, ensuring clear communication with all stakeholders (Product, QA, Front-End, Infrastructure, etc.) to deliver maximum business value.</li><li>Documentation: Own and maintain comprehensive documentation for all externally facing APIs.</li></ul>What Makes You a Good Fit:<ul><li>Experience: 4+ years of professional experience in backend development, ideally in a fast-paced startup environment.</li><li>Backend Mastery: Deep passion for well-structured backend services and a proven track record working with distributed/scalable infrastructure in a micro-services-first design.</li><li>Environment: Extremely comfortable working in multi-threaded applications and within *nix based execution environments.</li><li>Quality First: Value code quality, testability, and an iterative development methodology.</li><li>Cloud Fluency: Familiarity with cloud environments (preferably GCP), infrastructure as code, and provisioning for the code you write.</li><li>Performance: A deep appreciation for resource frugality and application performance.</li><li>Confidence Building: You demonstrate and incrementally build confidence in all the pieces you develop through robust testing and clear communication.</li></ul>Desired (Pluses):<ul><li>Proven experience with Kubernetes, Docker, and CI/CD systems.</li><li>Experience with GCP deployments and pipeline management.</li><li>Knowledge of Typescript/Javascript (for polyglot systems).</li><li>Experience with message queues like NATS.</li><li>Knowledge of multiple communication protocols, ideally gRPC (and REST, WebSockets).</li><li>Strong understanding of security principles (JWTs, salting, RSA, etc.).</li><li>A deep sense of appreciation for Test-Driven Development (TDD) methodology.</li></ul>Job Type: Full-time

Senior Backend Engineer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 We are hiring an Observability Engineering Manager who will lead the development of the distributed tracing or service mesh products as part of our Observability group.
 
 
 Engineering managers at Canonical are always coders who are able to review and lead both architecture and code. They should also be astute judges of character, and comfortable setting expectations and holding colleagues accountable to them.
 
 
 We are building an observability stack that is easy to deploy and operate on Kubernetes. This is part of a broader initiative to deliver the world's best suite of open source tools, where we provide deep integration and automation for best-of-breed open source offerings that cover metrics, logging, telemetry, alerting, tracing and profiling. Our goal is to make observability tools integral and pervasive across software practices .
 
 
 Our implementation of Kubernetes operators is opinionated, resilient, and scalable, providing deep insights out of the box. The user experience is polished and seamless for the end-users, and its administrators will enjoy smooth, lightweight Day 1 and Day 2 operations. We are excited to be improving the state of the art for open-source observability.
 
 
 This is an exciting opportunity for a software engineer passionate about open source software, Linux, Kubernetes, and Observability. Build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, the growing international software company behind Ubuntu.
 
 
 As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, but know that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution. You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.
 
 
 We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.
 
 
 
 Location:
 
 
 This role can be home based in the
 
 
 EMEA or Americas regions.
 
 
 
 The role entails
 
 
 <ul>
 <li>
 Manage a distributed team of engineers and its observability portfolio
 </li>
 <li>
 Organize and lead the team's processes in order to help it achieve its objectives
 </li>
 <li>
 Conduct one-on-one meetings with team members
 </li>
 <li>
 Identify and measure team health indicators
 </li>
 <li>
 Interact with a vibrant community
 </li>
 <li>
 Review code produced by other engineers
 </li>
 <li>
 Attend conferences to represent Canonical and its Observability Stack
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 An exceptional academic track record from both high school and university
 </li>
 <li>
 A proven track record of professional experience of software delivery
 </li>
 <li>
 Professional software development experience, preferably with a track record in open source
 </li>
 <li>
 Willingness to travel up to 4 times a year for internal events
 </li>
 <li>
 Professional written and spoken English
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Passion, thoughtfulness, and self-motivation
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 
 
 </li>
 </ul>
 Nice-to-have skills
 
 
 <ul>
 <li>
 Experience as an engineering manager, with a track record of building great, high performance teams
 </li>
 <li>
 Professional Python development experience
 </li>
 <li>
 A working knowledge of Go
 </li>
 <li>
 Open source contribution experience
 </li>
 <li>
 Interest and experience with container technologies
 </li>
 <li>
 A proven understanding of the importance of observability and monitoring for keeping software running smoothly
 </li>
 <li>
 Experience designing and implementing observability solutions
 
 
 </li>
 </ul>
 What we offer colleagues
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Observability Engineering Manager

Explore 664+ Full stack engineer performance and service monitoring in Manama Bahrain this December. Find roles across top companies and apply now to boost your career.