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senior lead software engineer

Alykas

About the RoleThe Senior Microsoft &amp; Cloud Engineer will lead the design, administration, and optimization of secure Microsoft and cloud environments for enterprise clients. This role serves as a senior escalation point for complex cloud and identity issues while driving security-first architecture, operational maturity, and cloud governance initiatives.The ideal candidate possesses deep hands-on expertise in Microsoft 365, Azure, and/or AWS, thrives in multi-tenant or MSP environments, and demonstrates strong leadership, security awareness, and client communication skills.Key ResponsibilitiesTechnical Leadership &amp; Escalation<ul><li>Serve as Tier 3 escalation support for complex Microsoft 365, Azure, and cloud-related incidents</li><li>Lead root cause analysis and remediation of high-impact security and infrastructure events</li><li>Mentor and guide Tier 1 and Tier 2 engineers</li><li>Participate in architectural reviews, risk assessments, and change advisory processes</li></ul>Secure Cloud Infrastructure Management<ul><li>Architect, deploy, and manage secure Azure and/or AWS environments</li><li>Administer virtual networks, VPNs, firewalls, and hybrid connectivity solutions</li><li>Design high-availability, backup, and disaster recovery strategies</li><li>Optimize cloud performance, cost efficiency, and security posture</li></ul>Microsoft 365 &amp; Endpoint Security<ul><li>Oversee Microsoft 365 tenant configuration, governance, and compliance</li><li>Support Exchange Online, SharePoint Online, Teams, and Intune</li><li>Lead tenant migrations and hybrid identity deployments</li><li>Implement security baselines and regulatory compliance controls</li></ul>Identity &amp; Zero Trust Security<ul><li>Design and troubleshoot Azure AD / Entra ID environments</li><li>Configure and manage Conditional Access, MFA, Identity Protection, and PIM</li><li>Support Zero Trust architecture implementations</li><li>Conduct security posture reviews and recommend remediation strategies</li></ul>Automation, Documentation &amp; Continuous Improvement<ul><li>Develop and maintain detailed technical documentation and SOPs</li><li>Automate cloud administration tasks using PowerShell or scripting tools</li><li>Contribute to internal knowledge base and operational process improvements</li><li>Support cybersecurity initiatives aligned with industry best practices</li></ul>Qualifications<ul><li>5+ years of hands-on experience in Microsoft 365 and Azure administration</li><li>Strong experience managing Azure and/or AWS cloud deployments</li><li>Experience working in multi-tenant or MSP environments preferred</li><li>Advanced understanding of networking concepts including DNS, routing, firewalls, and VPNs</li><li>Strong troubleshooting, analytical, and problem-solving skills</li><li>Excellent written and verbal communication skills</li><li>Security-first mindset with strong attention to detail</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104)</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305)</li><li>Microsoft 365 Certified: Endpoint Administrator Associate (MD-102)</li><li>AWS Solutions Architect Associate</li><li>Microsoft Security Certifications (SC-200, SC-300, SC-100)</li></ul>Why Join Alykas<ul><li>Work with a cybersecurity-focused, innovation-driven team</li><li>Exposure to enterprise-scale cloud and security environments</li><li>Career growth and certification support</li><li>Collaborative culture with strong technical leadership</li><li>Competitive compensation and benefits</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Senior Microsoft and Cloud Engineer

Smart Working

<div>
 
 
 
 About Smart Working
 
 
 
 
 At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn&rsquo;t just another remote opportunity - it&rsquo;s about finding where you truly belong, no matter where you are. From day one, you&rsquo;re welcomed into a genuine community that values your growth and well-being.
 
 
 
 Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you&rsquo;re empowered to grow personally and professionally.
 
 Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
 
 
 
 
 About the Role
 
 
 
 
 As a
 
 Senior Security Engineer
 
 , you will play a critical role in designing and implementing security controls across mobile applications, backend services, and web platforms. You will help ensure that systems are secure by design, protecting both customer data and platform integrity while meeting strict internal security standards and regulatory requirements.
 
 Working closely with engineering teams, you will contribute to embedding security practices across the development lifecycle, from secure coding and threat modelling to DevSecOps and infrastructure security. You will help identify vulnerabilities, assess risk, and implement proactive security measures that strengthen the organisation&rsquo;s overall security posture.
 
 
 
 This role is ideal for a security engineer who enjoys working at the intersection of application security, secure architecture, and engineering enablement, helping development teams build resilient and compliant systems.
 
 
 
 
 
 
 
 
 Responsibilities
 
 <ul>
 
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 Design and implement security controls for mobile applications, backend services, and web platforms
 </li>
 
 <li>
 Conduct threat modelling and risk assessments for new and existing systems
 </li>
 
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 Embed secure coding practices across engineering teams, aligned with OWASP standards
 </li>
 
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 Partner with engineers to ensure security is integrated throughout the software development lifecycle (SDLC)
 </li>
 
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 Identify and remediate application vulnerabilities and security risks
 </li>
 
 <li>
 Contribute to the implementation and improvement of DevSecOps practices
 </li>
 
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 Provide guidance on secure architecture and secure software design
 </li>
 
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 Support the development and enforcement of security policies, controls, and engineering standards
 </li>
 
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 Improve the organisation&rsquo;s application security posture through proactive security reviews and testing
 </li>
 
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 Work with teams to ensure systems meet internal security standards and external regulatory requirements
 </li>
 
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 Provide security expertise for infrastructure components including containers and cloud-native environments
 </li>
 
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 Contribute to incident response and vulnerability management processes
 </li>
 
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 
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 6+ years of experience in security engineering or application security
 </li>
 
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 3+ years of experience in Application Security (AppSec)
 </li>
 
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 3+ years of experience conducting threat modelling and risk assessments
 </li>
 
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 3+ years of experience applying secure coding principles aligned with OWASP standards
 </li>
 
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 Strong understanding of application security vulnerabilities and mitigation strategies
 </li>
 
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 Proven experience collaborating with engineering teams to build secure-by-design applications
 </li>
 
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 2-3 years of experience implementing DevSecOps practices
 </li>
 
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 2-3 years of experience securing containerised environments such as Docker or Kubernetes
 </li>
 
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 2+ years of experience applying cryptography and encryption techniques in application security
 </li>
 
 </ul>
 
 
 
 
 Nice to Have
 
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 Experience working within a bank, fintech company, or other regulated environment
 </li>
 
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 Familiarity with financial services security standards and regulatory frameworks
 </li>
 
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 Experience securing mobile applications and modern web platforms
 </li>
 
 </ul>
 
 
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
</div>

Senior Security Engineer (Remote, Full-Time) [AS219] PK

The Ghani IT Solutions

Role Overview:We are seeking an exceptionally skilled Senior Full-Stack Developer to lead the development of a mission-critical, high-performance intelligence platform. You will be responsible for building complex, real-time data visualization systems and integrating advanced geospatial layers with a custom AI-driven communication engine. This role requires a &quot;T-shaped&quot; engineer with deep expertise across the entire stack&mdash;from low-latency backends and high-concurrency data processing to sophisticated, interactive frontends.Key Responsibilities:- Full-Stack Architecture: Design and implement scalable, secure, and high-availability web applications from scratch using modern frameworks.- Geospatial Engineering: Develop multi-dimensional GIS (Geographic Information System) layers to visualize dynamic footprints and localized data zones using advanced mapping tools.- Real-Time Data Integration: Architect custom communication gateways and manage full-duplex data streaming via high-speed WebSockets.- Intelligence Dashboards: Build sophisticated, real-time dashboards that aggregate disparate data feeds into intuitive, actionable visual intelligence for monitoring and decision-making.- AI &amp; NLP Integration: Collaborate with AI engineers to integrate LLM-driven insights, automated data parsing, and intelligent alerting systems into the core platform.- Database Management: Design and optimize complex schemas for both relational and geospatial databases to ensure sub-second query performance on large datasets.Technical Requirements:- Frontend: Mastery of React.js or Next.js with expertise in advanced state management and real-time data visualization.- Backend: Advanced proficiency in Node.js (TypeScript) or Python (FastAPI/Django) for building high-concurrency microservices.- Geospatial Tools: Professional-level experience with ArcGIS API for JavaScript, Mapbox GL JS, or OpenLayers.- Databases: Deep knowledge of PostgreSQL with PostGIS for executing complex spatial queries. Familiarity with NoSQL and Redis for real-time caching is a plus.- AI Awareness: Solid understanding of integrating AI/ML models, RAG (Retrieval-Augmented Generation) workflows, and working with Vector Databases.- Infrastructure: Proven experience with Docker, Kubernetes, and managing real-time data streaming or communication protocols on AWS, GCP, or Azure.- Language Proficiency: Expert-level command over multiple programming languages (JavaScript/TypeScript, Python, and SQL).Location: DHA Phase 6, Karachi Shift: MorningWork Location: In person

Senior Full-Stack Developer (Real-Time Systems & Intelligence Platforms)

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
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Senior Data Engineer (AWS)

Confiz

<div>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
Key Responsibilities
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
Required Qualifications
<ul><li>5+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Senior AI Engineer

ARRAK CONSULTING SMC PRIVATE LIMITED

We are seeking an AI Developer with deep experience in designing and deploying advanced AI systems. This role is ideal for someone who can lead AI initiatives and build scalable, production-grade intelligent solutions.Position: Senior AI Developer (Expert Level)Location: KARACHI, PAKISTANJob Type: Full-TimeKey Responsibilities:<ul><li>Architect and deploy advanced AI/ML and Deep Learning models at scale</li><li>Lead development of LLMs, Generative AI, and NLP solutions</li><li>Design end-to-end AI pipelines (data ingestion, training, deployment, monitoring)</li><li>Optimize model performance, scalability, and inference efficiency</li><li>Integrate AI systems into enterprise-grade applications and APIs</li><li>Mentor junior developers and contribute to AI strategy</li></ul>Required Skills:<ul><li>Expert-level proficiency in Python</li><li>Strong experience with TensorFlow, PyTorch, or equivalent frameworks</li><li>Hands-on experience with LLMs, Transformers, and Generative AI</li><li>Deep understanding of ML algorithms, deep learning, and data engineering</li><li>Experience with MLOps, model deployment, and CI/CD pipelines</li><li>Strong experience with cloud platforms (Azure, AWS, GCP)</li></ul>Preferred Qualifications:<ul><li>Experience with AI product development at scale</li><li>Knowledge of vector databases, embeddings, and RAG architecture</li><li>Background in computer vision or advanced NLP</li><li>Strong leadership and system design skills</li></ul>What We Offer:<ul><li>Work on cutting-edge AI innovations</li><li>Leadership opportunities and strategic impact</li><li>Competitive salary + performance-based incentives</li><li>High-growth, tech-driven environment</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

Senior / Expert AI Developer - Night Shift

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