full stack software developer

DICETEK LLC

<div>Require full stack dotnet developer who is capable of designing &amp; developing high quality applications. The major technologies we are looking forward to Dotnet Core, Microservices, Cloud environments, REST APIs, Kafka, ASP.netCore MVC, and SQL
Major skills / technologies required:
React : React.js, React Native, JavaScript, Kotlin, Groovy, Java, Redux, XState, Webpack, TypeScript, Redux, Babel, NPM/Yarn, RESTful APIs, HTML5, CSS3, Bootstrap , GraphQL
Dotnet Core : .NET Core, ASP.netCore MVC, Dependency Injection, Entity Framework Core
Micro services : Service Mesh, Service Discovery, Domain Driven
Databases : SQL Server, PostgreSQL, MySQL, MongoDB
REST APIs : RESTful Services, API Design, OAuth2, JWT, OIDC
Kafka : Kafka Streams, Kafka Connect, Messaging Patterns
Tools : Visual Studio, Visual Studio Code, JetBrains Rider, Postman, Git, Confluence, Jira
Cloud Ready : Azure, AWS, Docker, Kubernetes 
Experience &amp; Soft Skills<ul><li>
Total Experience up to 5-10 years</li><li>
Good Experience on handling Platform/Hosting support functionality.</li><li>
Banking Experience is preferred</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication and teamwork skills.</li><li>
Ability to work independently and manage multiple tasks effectively.</li><li>
A proactive approach to learning new technologies and improving existing processes.</li></ul>
Responsibilities<ul><li>
Design, develop, maintain, and support Dotnet back-end services and APIs</li><li>
Analyze requirements and formalize technical approaches</li><li>
Test-driven development and implementation of middleware services end-to-end</li><li>
Ensure maximum code coverage (&gt;80%) through unit testing</li><li>
Address and handle all penetration testing scenarios</li><li>
Ensure bug-free application releases by maintaining high code quality standards</li><li>
Implement security measures to protect user data and application integrity</li><li>
Stay informed about common security vulnerabilities and how to mitigate them</li></ul></div>

Full Stack Engineer ( dotnet + React)

Salt

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul>
As an AI consultancy, our greatest asset is the expertise of our people.
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. 
Requirements 
We need you to have:<ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul>
It would also be great if you have:<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul> 
Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

Senior Full Stack Engineer

Metropolitan Capital Real Estate

Realtor &ndash; International Clients (Chinese Speaker)Metropolitan Capital Real Estate &ndash; Abu Dhabi, UAE Full‑Time | On‑Site | High Commission Earnings | Global Client PortfolioAbout Metropolitan Capital Real EstateMetropolitan Capital Real Estate is one of Abu Dhabi&rsquo;s leading and fastest‑growing real estate brokerages. With exclusive developer partnerships, premium listings, and a strong international presence, we provide our realtors with a powerful platform to succeed.As demand from Chinese‑speaking buyers and investors continues to grow, we are seeking a professional Realtor &ndash; International Clients (Chinese Speaker) to deliver a seamless, culturally aligned experience to clients from Mainland China, Hong Kong, Taiwan, Singapore, and global Chinese‑speaking communities.Key Responsibilities<ul><li>Assist Chinese‑speaking clients with property inquiries, viewings, and investment consultations</li><li>Conduct tailored presentations, virtual tours, and community briefings in Chinese and English</li><li>Promote off‑plan and ready properties from top Abu Dhabi developers</li><li>Build and maintain a portfolio of international buyers, sellers, landlords, and investors</li><li>Provide expert guidance on pricing, ROI, rental yields, payment plans, and market trends</li><li>Support clients with relocation needs, lifestyle insights, and community recommendations</li><li>Negotiate offers and close transactions with professionalism and accuracy</li><li>Maintain CRM records and follow company sales processes</li><li>Represent Metropolitan Capital Real Estate with cultural understanding and global professionalism</li></ul>Requirements<ul><li>Fluency in Chinese (Mandarin) and English</li><li>Experience in real estate sales, advisory, or high‑value client‑facing roles</li><li>Strong communication, negotiation, and relationship‑building skills</li><li>Ability to build trust with international clients and high‑net‑worth individuals</li><li>Highly motivated, disciplined, and target‑driven</li><li>Professional appearance and strong business acumen</li><li>Valid UAE driving license and access to a car</li><li>Knowledge of the Abu Dhabi real estate market is an advantage</li></ul>What We Offer<ul><li>Attractive commission structure with high earning potential</li><li>Full marketing, administrative, and CRM support</li><li>Access to exclusive developer inventories and project launches</li><li>Professional training tailored to international real estate and investment advisory</li><li>A multicultural, supportive, and high‑performance work environment</li><li>Clear career growth opportunities within a leading real estate brand</li></ul>Why Join UsYour Chinese‑language skills and cultural insight will position you as a key advisor for one of Abu Dhabi&rsquo;s fastest‑growing international client segments. With premium inventory, strong developer partnerships, and full operational support, you&rsquo;ll have everything you need to build a successful and globally focused real estate career.How to ApplySubmit your CV through Indeed. Only shortlisted candidates will be contacted.Pay: Up to AED1.00 per monthWork Location: In person

Realtor – International Clients (Chinese Speaker)

Residential Sales ConsultantMetropolitan Capital Real Estate &ndash; Abu Dhabi, UAE Full‑Time | On‑Site | High Commission Earnings | Residential Property SalesAbout Metropolitan Capital Real EstateMetropolitan Capital Real Estate is one of Abu Dhabi&rsquo;s leading and fastest‑growing real estate brokerages. With exclusive developer partnerships, premium listings, and a strong international presence, we provide Residential Sales Consultants with a powerful platform to succeed.We are seeking a polished, knowledgeable, and client‑driven Residential Sales Consultant to represent Abu Dhabi&rsquo;s top residential communities and deliver exceptional advisory services to buyers, sellers, landlords, and investors.Key Responsibilities<ul><li>Manage residential property inquiries and conduct professional viewings</li><li>Promote ready and off‑plan homes across Abu Dhabi&rsquo;s leading communities</li><li>Build and maintain a strong portfolio of buyers, sellers, landlords, and investors</li><li>Deliver tailored property presentations, lifestyle insights, and investment consultations</li><li>Advise clients on pricing, ROI, rental yields, payment plans, and market trends</li><li>Negotiate offers and close transactions with accuracy and professionalism</li><li>Maintain CRM records and follow company sales processes</li><li>Represent Metropolitan Capital Real Estate with integrity, expertise, and exceptional customer service</li></ul>Requirements<ul><li>Experience in residential real estate sales, brokerage, or high‑value client‑facing roles</li><li>Strong communication, negotiation, and interpersonal skills</li><li>High level of motivation, discipline, and target‑driven mindset</li><li>Ability to build trust and long‑term client relationships</li><li>Professional appearance and strong business acumen</li><li>Valid UAE driving license and access to a car</li><li>Fluency in English; additional languages (Arabic, Russian, Mandarin, French, Spanish, etc.) are an advantage</li><li>Knowledge of Abu Dhabi&rsquo;s residential market is preferred</li></ul>What We Offer<ul><li>Attractive commission structure with high earning potential</li><li>Access to exclusive developer inventories and premium residential listings</li><li>Full marketing, administrative, and CRM support</li><li>Professional training and continuous development</li><li>A multicultural, supportive, and high‑performance work environment</li><li>Clear career growth opportunities within a leading real estate brand</li></ul>Why Join UsAs a Residential Sales Consultant at Metropolitan Capital Real Estate, you&rsquo;ll represent some of Abu Dhabi&rsquo;s most desirable communities and benefit from strong brand recognition, premium inventory, and full operational support. You&rsquo;ll have everything you need to build a successful and rewarding real estate career.How to ApplySubmit your CV through Indeed. Only shortlisted candidates will be contacted.Pay: Up to AED1.00 per monthWork Location: In person

Residential Sales Consultant

Contango

<div>
 
 Contract duration:
 
 6 months (with a potential extension)
 
 
 
 Engagement Type:
 
 Full-time
 
 
 
 Start date:
 
 July 2026
 
 
 
 Location:
 
 Abu Dhabi (on-site)
 
 
 
 About Contango
 
 
 
 Contango is the strategic partner for transformative growth and sustained success for the ADQ portfolio. Our team excels in providing comprehensive growth solutions that combine global best practices with local market expertise. We focus on long-term value creation, empowering our clients to achieve the full scale of their aspirations. As a trusted advisor to ADQ's portfolio companies, Contango helps CEOs drive strategic growth initiatives, navigate disruptive forces, and maximize long-term value creation.
 
 
 
 Role Overview
 
 
 
 As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions. You will design, build, deploy, and support end-to-end Data &amp; AI solutions. You will translate complex business challenges into scalable, production-ready analytics and machine learning systems, collaborating closely with product, data engineering, and architecture stakeholders to deliver measurable impact.
 
 
 
 Key Responsibilities
 
 
 
 
 Use Case Framing &amp; Solution Design
 
 
 
 <ul>
 <li>
 Translate client business problems into end-to-end system architectures that combine Data, ML, and software components.
 </li>
 <li>
 Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.
 </li>
 <li>
 Make explicit trade-offs across performance, cost, latency, and maintainability.
 </li>
 <li>
 Define success metrics, SLAs, and non-functional requirements (reliability, security, scalability).
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Feature Systems
 
 
 
 <ul>
 <li>
 Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.
 </li>
 <li>
 Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.
 </li>
 <li>
 Collaborate with platform teams to define data models, schemas, and storage strategies.
 </li>
 <li>
 Enforce standards for data validation, testing, and monitoring within production systems.
 
 
 </li>
 </ul>
 
 Applied ML &amp; Production-Grade Development
 
 
 
 <ul>
 <li>
 Develop ML solutions using production-quality code (Python/JS), following software engineering best practices.
 </li>
 <li>
 Structure codebases into maintainable, testable modules, with clear separation of concerns.
 </li>
 <li>
 Implement unit, integration, and end-to-end tests for data and ML components.
 </li>
 <li>
 Package models and logic into deployable services (APIs, microservices, batch jobs) using modern frameworks.
 </li>
 <li>
 Balance model sophistication with system performance, latency, and operational constraints.
 
 
 </li>
 </ul>
 
 MLOps, DevOps &amp; Platform Integration
 
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.
 </li>
 <li>
 Containerize and deploy services using Docker, Kubernetes, and cloud-native tooling.
 </li>
 <li>
 Implement model versioning, experiment tracking, and artifact management.
 </li>
 <li>
 Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.
 </li>
 <li>
 Automate retraining, rollback, and release strategies to ensure system resilience.
 
 
 </li>
 </ul>
 
 System Reliability, Scalability &amp; Security
 
 
 
 <ul>
 <li>
 Design systems for high availability, fault tolerance, and horizontal scalability.
 </li>
 <li>
 Optimize performance across data pipelines and inference services (latency, throughput, cost).
 </li>
 <li>
 Apply secure coding practices, access controls, and data protection standards.
 </li>
 <li>
 Manage technical debt and ensure long-term maintainability of production systems.
 
 
 </li>
 </ul>
 
 Documentation, Standards &amp; Engineering Excellence
 
 
 
 <ul>
 <li>
 Produce developer-focused documentation (APIs, architecture diagrams, runbooks).
 </li>
 <li>
 Establish and enforce coding standards, review processes, and engineering best practices.
 </li>
 <li>
 Build reusable libraries, SDKs, and internal frameworks to accelerate delivery.
 </li>
 <li>
 Drive continuous improvement in engineering maturity, tooling, and delivery practices across the consultancy.
 
 
 </li>
 </ul>
 
 Required Experience And Qualifications
 
 
 
 <ul>
 <li>
 Prior experience at management consulting firms and/or Big Tech is an advantage.
 </li>
 <li>
 Client-serving experience is an advantage.
 </li>
 <li>
 5+ years of experience in data science or a related analytical field.
 </li>
 <li>
 5+ years delivering end-to-end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.
 </li>
 <li>
 Experience applying software engineering methodologies and best practices, including coding standards, code reviews, build processes, testing, and security.
 </li>
 <li>
 Prior experience in developing AI solutions on public cloud services is an advantage.
 </li>
 <li>
 Bachelor&rsquo;s degree (Master&rsquo;s preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).
 </li>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Coding &amp; data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.
 </li>
 <li>
 Statistics &amp; experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.
 </li>
 <li>
 ML modelling: Feature engineering, model selection, cross-validation, metrics, and hyperparameter tuning (supervised/unsupervised).
 </li>
 <li>
 Data prep &amp; analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.
 </li>
 </ul>
 </ul>
</div>

Senior Data Scientist (6 months contract)

Saal.ai

<div>
 
 
 Job Purpose:
 
 
 
 As a DevOps Engineer, you will be responsible for implementing and maintaining the systems and processes that enable efficient and automated software development, deployment, and operations. You will collaborate with cross-functional teams to enhance our development and operations lifecycle, enabling faster and more reliable software delivery.
 
 
 
 
 
 
 Job Specific Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain a scalable and efficient infrastructure for software development, testing, and deployment.
 </li>
 <li>
 Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines, ensuring smooth and automated software releases.
 </li>
 <li>
 Collaborate with software developers to streamline build, deployment, and release processes.
 </li>
 <li>
 Handling deployments at customer premises.
 </li>
 <li>
 Monitor and optimize system performance, ensuring high availability and scalability.
 </li>
 <li>
 Implement and maintain configuration management tools and practices, ensuring consistency across environments.
 </li>
 <li>
 Implement and maintain containerization and orchestration technologies such as Docker and Kubernetes.
 </li>
 <li>
 Collaborate with security teams to implement and enforce best practices for infrastructure and application security.
 </li>
 <li>
 Troubleshoot and resolve issues related to infrastructure, deployments, and performance.
 </li>
 <li>
 Stay up-to-date with emerging technologies and industry trends related to DevOps and cloud computing.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills:
 
 
 <ul>
 <li>
 Proven experience working as a DevOps Engineer or in a similar role.
 </li>
 <li>
 Strong knowledge of software development methodologies and best practices.
 </li>
 <li>
 Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
 </li>
 <li>
 Proficiency in any of the scripting languages such as Python, Bash etc.
 </li>
 <li>
 Experience with any of the CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
 </li>
 <li>
 Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
 </li>
 <li>
 Understanding of networking concepts, including TCP/IP, DNS, load balancing, and firewalls.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently as well as in a team environment.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills:
 
 
 <ul>
 <li>
 Certification in DevOps-related technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
 </li>
 <li>
 Experience with infrastructure-as-code tools like Terraform or CloudFormation.
 </li>
 <li>
 Knowledge of monitoring and logging tools such as ELK Stack, Prometheus, or Grafana.
 </li>
 <li>
 Understanding of Agile and DevOps methodologies.
 </li>
 <li>
 Familiarity with database management systems like MySQL, PostgreSQL, and MongoDB.
 </li>
 </ul>
 
 
 
</div>

DevOps Engineer

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