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associate software engineer open stack islamabad

Devsinc

<div>
 We are looking for passionate and enthusiastic
 
 Associate Software Engineers
 
 to join our Open Stack team. This role is ideal for
 
 fresh graduates or individuals with up to 6 months of experience
 
 who are eager to learn, grow, and contribute to real-world projects.
 
 
 ﻿
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, maintain, and optimize web and mobile applications across multiple stacks
 </li>
 <li>
 Apply core CS concepts including OOP, data structures, algorithms, and design patterns to build scalable and maintainable solutions
 </li>
 <li>
 Collaborate with cross-functional teams to design, implement, and improve features
 </li>
 <li>
 Write clean, efficient, and reusable code following best practices
 </li>
 <li>
 Work with SQL and NoSQL databases for data storage and retrieval
 </li>
 <li>
 Debug, troubleshoot, and optimize system performance and code efficiency
 </li>
 <li>
 Actively participate in code reviews and provide constructive feedback
 </li>
 <li>
 Continuously learn and implement new technologies to improve product quality
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Strong understanding of OOP, data structures, and algorithms
 </li>
 <li>
 Excellent problem-solving and analytical skills; ability to break down complex problems and find effective solutions
 </li>
 <li>
 Knowledge of SQL/NoSQL databases
 </li>
 <li>
 Familiarity with software development best practices
 </li>
 <li>
 Exposure to the following technology stack is preferred:
 </li>
 <li>
 Node.js
 </li>
 <li>
 React.js
 </li>
 <li>
 React Native
 </li>
 <li>
 MERN Stack
 </li>
 <li>
 Nest.js
 </li>
 <li>
 Next.js
 </li>
 <li>
 Python
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong logical thinking and problem-solving ability
 </li>
 <li>
 Proactive attitude and willingness to learn new technologies
 </li>
 <li>
 Good communication and team collaboration skills
 </li>
 <li>
 Ability to adapt to a fast-paced, dynamic work environment
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Medical Inpatient Facility
 </li>
 <li>
 Medical Outpatient Facility
 </li>
 <li>
 In-house Subsidized Lunch &amp; Dinner
 </li>
 <li>
 Gym Facility
 </li>
 <li>
 Entertaining Activities
 </li>
 <li>
 Sports Allowance
 </li>
 </ul>
</div>

Associate Software Engineer- Open Stack (Islamabad)

NorthBay Solutions

<div><h3 class="jobSectionHeader">Senior Full Stack Engineer (Vue.js &amp; Node.js)</h3>
Experience: 5&ndash;8 Years 
Employment Type: Full-Time, Permanent 
Work Model: Hybrid 
Location: Lahore, Karachi, Islamabad (Pakistan)<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking a highly skilled Senior Full Stack Engineer (Vue &amp; Node) to contribute to the design, development, and delivery of scalable, cloud-native applications. The ideal candidate will be hands-on across frontend and backend development, with strong experience in Vue.js, Node.js, and AWS-based architectures.<h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in full-stack software development</li><li>
Strong backend development expertise using Node.js</li><li>
Hands-on frontend experience with Vue.js (Vue 3) for building responsive user interfaces</li><li>
Experience working with RESTful APIs and/or GraphQL</li><li>
Practical exposure to AWS services, including Lambda, Amplify, API Gateway, and RDS/MySQL</li><li>
Understanding of microservices, serverless architectures, and event-driven systems</li><li>
Experience with Web Sockets and real-time communication</li><li>
Familiarity with CI/CD pipelines, automated testing, and version control systems</li><li>
Solid problem-solving skills and attention to detail</li><li>
Strong communication and collaboration skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Exposure to Docker, AWS CDK, or CloudFormation</li><li>
Experience with Agile/Scrum methodologies and tools such as Jira or Confluence</li><li>
Basic experience mentoring junior engineers</li></ul><h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain full-stack applications using Vue.js and Node.js</li><li>
Build scalable backend services and APIs integrated with AWS infrastructure</li><li>
Implement responsive UI components and frontend architecture best practices</li><li>
Work closely with product, QA, and DevOps teams to deliver high-quality solutions</li><li>
Contribute to code reviews, testing strategies, and technical documentation</li><li>
Troubleshoot, debug, and optimize application performance</li><li>
Stay current with modern web development and cloud technologies</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Opportunity to work on modern, cloud-native products</li><li>
Competitive compensation and benefits</li><li>
Hybrid working environment in Lahore, Karachi, or Islamabad</li><li>
Collaborative engineering culture with learning and growth opportunities</li></ul>
thJNQVWYNH</div>

Senior Full Stack Engineer (Vue.js & Node.js)

Datamatics Global Services Ltd

<div>Job Title: Agentic AI Engineer 
Location: Islamabad, Pakistan (Onsite) 
Experience: 7&ndash;8 Years 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Overview</h3>
We are looking for a highly skilled Agentic AI Engineer to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop agentic AI systems that can plan, reason, and execute tasks autonomously.</li><li>
Build and optimize applications using Large Language Models (LLMs) and advanced AI frameworks.</li><li>
Develop multi-agent architectures for complex workflows and decision-making processes.</li><li>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</li><li>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</li><li>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</li><li>
Ensure scalability, security, and performance of AI systems in production.</li><li>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
7&ndash;8 years of experience in AI/ML, software engineering, or applied AI development.</li><li>
Strong programming experience in Python.</li><li>
Hands-on experience with LLMs and AI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</li><li>
Experience with RAG architectures, vector databases, and embeddings.</li><li>
Familiarity with OpenAI, open-source LLMs, or similar AI model ecosystems.</li><li>
Experience building AI agents, automation workflows, or intelligent assistants.</li><li>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</li><li>
Experience with Docker, CI/CD, and scalable system design.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with multi-agent systems and autonomous AI workflows.</li><li>
Knowledge of prompt engineering, model evaluation, and AI safety.</li><li>
Familiarity with vector databases such as Pinecone, Weaviate, or FAISS.</li><li>
Experience working in AI startups or advanced R&amp;D environments.</li><li>
Background in Computer Science, AI, Data Science, or related field.</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Opportunity to work on cutting-edge AI and autonomous systems.</li><li>
Competitive salary and growth opportunities.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Exposure to global AI projects and modern technology stack.</li></ul>
Hr0rUNuBPn</div>

Agentic AI Engineer

NESL-IT (SMC PVT) LTD

Position Title: MERN Stack Developer Location: Islamabad &ndash; I-10/3 (Onsite) Shift Timings: 6:00 PM to 3:00 AM (Night Shift) Experience Required: Freshie- 2 yrs Job Type: Full-Time Department: Software DevelopmentCompany Overview: NESL-IT is an Islamabad-based IT services company working with international clients. We focus on real responsibility, learning, and growth, not just job titles.Job Overview:We are seeking a highly skilled and experienced MERN Stack Developer with additional expertise in Angular to join our dynamic development team. The ideal candidate will have over 5 years of experience in full-stack development and must be comfortable working during evening/night hours. You will be responsible for developing scalable web applications, integrating APIs, and delivering high-quality code in a collaborative team environment.Key Responsibilities:<ul><li>Design, develop, and maintain full-stack web applications using MongoDB, Express.js, React.js, Node.js, and Angular.</li><li>Build and integrate RESTful APIs and third-party services.</li><li>Ensure responsive and user-friendly UI/UX across all devices.</li><li>Collaborate with cross-functional teams including designers, QA, and product managers.</li><li>Write clean, well-documented, and efficient code.</li><li>Troubleshoot, debug, and resolve technical issues.</li><li>Stay updated with emerging technologies and suggest improvements.</li><li>Participate in code reviews and mentor junior developers when needed.</li></ul>Required Skills &amp; Qualifications:<ul><li>Freshie or Up to 2 years of proven full-stack development experience.</li><li>Strong proficiency in JavaScript, TypeScript, and front-end technologies (HTML5, CSS3, SCSS).</li><li>Hands-on experience with React.js, Node.js, Express.js, and MongoDB.</li><li>Solid command of Angular (latest versions) and component-based architecture.</li><li>Experience with Git, version control workflows, and CI/CD pipelines.</li><li>Understanding of deployment practices and web application performance optimization.</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Excellent problem-solving skills and attention to detail.</li></ul>Job Type: Full-timeWork Location: In person

MERN Stack Developer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

Cloudelligent

<div>Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise 
Job Timings: 8am-5pm Central Time (US) 
Location: Islamabad
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.
Responsibilities<ul><li>
Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.</li><li>
Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.</li><li>
Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.</li><li>
Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.</li><li>
Create and improve current operational practices and procedures.</li><li>
Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.</li><li>
Responsible for training and mentoring junior DevOps engineers and new team members.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s in software/computer engineering, computer science or related field.</li><li>
Effective communication skills (proficiency in English language).</li><li>
5+ years of professional experience in DevOps engineering.</li><li>
4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)</li><li>
Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)</li><li>
Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)</li><li>
Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li></ul>
Technical Experience/Expertise<ul><li>
Strong hands-on expertise with solution architecting environments in AWS cloud space.</li><li>
Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.</li><li>
Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).</li><li>
Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.</li><li>
Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.</li><li>
Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).</li><li>
Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.</li><li>
Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.</li></ul>
Good to have<ul><li>
AWS Certified Solutions Architect Associate/Professional and/or AWS Certified DevOps Professional</li><li>
Certified Kubernetes Administrator (CKA)</li></ul>
Zo7ckr5gC3</div>

Sr. AWS DevOps Engineer- Kubernetes Expertise

MiHCM

Job Title: Junior Field Specialist Location: IslamabadJob SummaryWe are looking for a motivated Junior Field Specialist to support field operations, installations, inspections, and basic technical tasks. This role is ideal for fresh graduates who are eager to learn and grow in a field-based technical environment.Key Responsibilities<ul><li>Perform assigned field visits as per daily schedule</li><li>Assist in installation, maintenance, and troubleshooting of equipment</li><li>Collect site data, photos, and reports using a smartphone</li><li>Coordinate with the operations and technical teams</li><li>Ensure compliance with safety and company procedures</li><li>Provide timely updates and basic reporting from the field</li></ul>Eligibility &amp; Requirements<ul><li>Education: DAE (Diploma of Associate Engineer) in any discipline</li><li>Experience: Fresh graduates are encouraged to apply</li><li>Age: 18 to 25 years</li><li>Must own a smartphone</li><li>Must have a motorbike</li><li>Valid driving license (motorbike)</li><li>Local resident of Islamabad</li><li>Willingness to work in field condition</li></ul>Salary: 40-45KJob Type: Full-timeWork Location: In person

Junior Field Specialist

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