sales executive

devops engineer

digital marketing lead

full stack developer

senior business analyst

senior lead software engineer

Binary Brix 

Senior Software Engineer (Python/SaaS) &ndash; OnsiteLocation: LahoreCompany: SymufolkAbout the RoleSymufolk is a leading software development firm specializing in AI, Big Data, and scalable SaaS solutions. We are looking for a Senior Software Engineer who brings a growth mindset and a high degree of technical ownership.Key Responsibilities<ul><li>End-to-End Ownership: Lead the technical design and execution of loosely defined features, ensuring commitments are met with high-quality code.</li><li>Backend Architecture: Maintain, build, and optimize high-performance REST APIs using Python.</li><li>Systems Thinking: Apply strong CS fundamentals (data structures, algorithms, and system design) to solve complex scalability issues.</li><li>Collaboration: Work onsite with cross-functional teams of engineers and product managers to deliver seamless end-user products.</li></ul>Technical Requirements<ul><li>Experience: 5+ years of experience building and maintaining SaaS applications.</li><li>Python Mastery: Deep expertise in Python development and modern frameworks.</li><li>DevOps &amp; Infrastructure: Proven experience with CI/CD (Jenkins, GitLab CI/CD) and containerization (Docker, Kubernetes).</li><li>Communication: Excellent written and spoken English.</li><li>Mindset: A proactive, team-oriented professional with a passion for continuous learning.</li></ul>Preferred Skills (The Bonus List)<ul><li>Frameworks: Django, FastAPI, Flask, or SQLAlchemy.</li><li>Cloud: Hands-on experience with AWS environments.</li><li>Data Technologies: Experience with OpenSearch/Elasticsearch, Big Data (Hadoop/Spark), or non-relational databases (Apache HBase).</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Software Engineer- (Python/saas)

IMSI Technologies

Position Overview: IMSI Technologies is seeking a hands-on Senior DevOps Engineer to take ownership of our build pipeline, address security vulnerabilities, and modernize our release processes. This role demands someone who thrives on solving infrastructure challenges, streamlining deployments, and collaborating across teams to deliver reliable, secure software.You&rsquo;ll lead the charge in implementing robust CI/CD pipelines, managing daily builds, and integrating automated testing. If you know your way around GitHub, GitLab, Jenkins, and secure release workflows&mdash;this is your opportunity to make a real impact.Key Responsibilities:&middot; Own and modernize the complete build and release pipeline&middot; Design, implement, and maintain CI/CD pipelines using GitLab, Jenkins, and GitHub Actions&middot; Manage daily build processes, including sanity testing, troubleshooting, and reporting&middot; Implement proper code signing for installers and enforce secure build practices&middot; Collaborate with development and QA teams to integrate automated test scripts into CI/CD workflows&middot; Accelerate localization pipeline and integration&middot; Oversee and improve release management processes to support timely and high-quality software releases&middot; Proactively identify and resolve infrastructure and deployment issues&middot; Maintain and enhance build environment reliability, scalability, and performance&middot; Ensure all DevOps practices align with industry best practices and security standards&middot; Mentor junior DevOps Engineer and enforce best practicesRequired Qualifications:&middot; 5+ years of DevOps experience with a focus on security and release management&middot; Proven experience with CI/CD tools like GitLab, Jenkins, and GitHub&middot; Proficient in Python scripting for automation within DevOps workflows&middot; Experience with version control systems (e.g., Git) and branching strategies&middot; Strong understanding of SDLC, release processes, and testing automation&middot; Knowledge of Docker containerization and deploying microservices in containerized environments&middot; Solid problem-solving and analytical skills with the ability to troubleshoot complex systems efficiently&middot; Excellent organizational, verbal, and written communication skills, with full professional proficiency in EnglishPreferred Qualifications:&middot; Experience in CAD/3D Modeling software development environments&middot; Familiarity with digital rights management systems&middot; Experience with Kubernetes or other container orchestration platforms&middot; Familiarity with cloud platforms (e.g., AWS, Azure, or GCP)&middot; Experience working in Agile/Scrum environments&middot; Background in managing signed release processes&middot; Familiarity with JIRA for task tracking, sprint planning, and cross-team coordinationJob Type: Full-timeWork Location: In personImportant: Please download the questionnaire using the link below, complete it, and return it with your application: https://tinyurl.com/devopquestionnaireJob Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In personExpected Start Date: 01/05/2026

Senior DevOps Engineer

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

ZAPTA Technologies (Pvt.) Limited

ZAPTA Technologies is seeking a DevOps Engineer to join our team and work on building, deploying, and maintaining our software systems. The successful candidate will work closely with our development and operations teams to ensure our software delivery pipeline's smooth and efficient operation. The DevOps Engineer will be responsible for designing, building, and maintaining automation tools and infrastructure and collaborating with other teams to implement DevOps best practices.Responsibilities:<ul><li>Design, build, and maintain automation tools and infrastructure for software development, testing, and deployment</li><li>Collaborate with development and operations teams to implement DevOps best practices and optimize our software delivery pipeline</li><li>Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines</li><li>Monitor and maintain system health and performance, ensuring high availability and reliability of our applications</li><li>Work closely with development teams to ensure code quality, security, and compliance with coding standards and best practices</li><li>Troubleshoot and resolve issues related to software deployment and infrastructure</li><li>Develop and maintain technical documentation, including system diagrams, standard operating procedures, and runbooks.</li></ul>Requirements:<ul><li>Bachelor's degree in computer science, information technology, or a related field</li><li>3-5 years of experience in a DevOps role</li><li>Strong understanding of software development principles and practices, including agile methodologies</li><li>Experience with DevOps tools and technologies, such as Jenkins, Git, Docker, and Kubernetes</li><li>Hands-on experience with Amazon Web Services (AWS).</li><li>Experience with configuration management tools such as Ansible, Puppet, or Chef</li><li>Excellent communication skills and the ability to work collaboratively with internal and external stakeholders</li><li>Strong problem-solving skills and the ability to think creatively to solve complex problems</li><li>Ability to work independently with minimal supervision</li></ul>Preferred Qualifications:<ul><li>DevOps certifications, such as AWS Certified DevOps Engineer</li><li>Expertise in AWS, Azure, GCP, and Rackspace will be highly preferred</li><li>Experience in MySQL, PostgreSQL, MongoDB, RedShift.</li></ul>Experience with containerization and container orchestration platforms, such as Docker and Kubernetes.Job Type: Full-Time Onsite RoleLocation: Bankers Town Near DHA Phase 4 LahoreShift Timing: 10:00 AM to 07:00 PMJob Type: Full-timeWork Location: In person

Senior Python Engineer (SaaS Platform)Location: Onsite &ndash; Lahore Company: SymufolkAbout the RoleSymufolk is building scalable AI-driven SaaS products used by global clients. We are seeking a Senior Python Engineer to design, develop, and scale core platform services that power our next-generation applications. This role requires strong technical ownership, system-level thinking, and the ability to work closely with cross-functional teams.Key Responsibilities<ul><li>Design, develop, and maintain high-performance backend systems using Python.</li><li>Architect and optimize RESTful APIs and microservices.</li><li>Ensure system reliability, scalability, and security across distributed services.</li><li>Participate in technical architecture discussions and code reviews.</li><li>Collaborate closely with DevOps teams on deployment strategies and infrastructure.</li><li>Work with product managers to translate business requirements into technical solutions.</li><li>Monitor system performance and troubleshoot production issues.</li><li>Implement best practices for testing, documentation, and maintainability.</li></ul>Requirements<ul><li>5+ years of professional experience in Python development.</li><li>Strong understanding of backend architecture, APIs, and databases (SQL &amp; NoSQL).</li><li>Experience with distributed systems and scalable SaaS platforms.</li><li>Hands-on experience with Docker and CI/CD pipelines.</li><li>Familiarity with Git and modern development workflows.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication skills and ability to work in an onsite, collaborative environment.</li><li>Proactive mindset with a strong sense of ownership and accountability.</li></ul>Preferred / Nice to Have<ul><li>Experience with frameworks such as Django, FastAPI, or Flask.</li><li>Hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, etc.).</li><li>Exposure to Big Data technologies (Spark, Hadoop) or search systems (Elasticsearch/OpenSearch).</li><li>Knowledge of Kubernetes and microservices architecture.</li><li>Experience working on AI/ML-driven products or data-intensive platforms.</li></ul>Why Join Symufolk?<ul><li>Work on cutting-edge AI and SaaS platforms.</li><li>High ownership and impact on product architecture.</li><li>Collaborative engineering culture with strong technical leadership.</li><li>Opportunity to grow into technical leadership roles.</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior Python Engineer

THE ADVANTECH

Job Description: DevOps / MLOps EngineerTitle: Senior DevOps / MLOps Engineer (AI Platform) Department: AI/ML Platform Reports to: Head of AI/ML Experience: 4&ndash;5 years (hands-on, production)Role Summary (Read Carefully)We are building an AI Agent Marketplace with strict requirements around reliability, cost control, observability, and security. This role owns infrastructure, CI/CD, model deployment pipelines, and runtime stability.This is not a research role. This is not a notebook role. This is production engineering.If you haven&rsquo;t supported live systems under load, you are not a fit.Core Responsibilities (Non-Negotiable)Platform &amp; Infrastructure<ul><li>Design and maintain cloud infrastructure (AWS/GCP/Azure)</li><li>Own Kubernetes or container-based deployment</li><li>Enforce environment separation (dev / staging / prod)</li><li>Manage secrets, credentials, and access policies</li></ul>MLOps &amp; AI Runtime Support<ul><li>Build CI/CD pipelines for:</li><li>Agent definitions</li><li>Model updates</li><li>Prompt &amp; config versioning</li><li>Implement rollback strategies for agents and models</li><li>Enforce resource limits (CPU, memory, tokens, cost)</li><li>Monitor inference latency and failure rates</li></ul>Observability &amp; Cost Control<ul><li>Implement centralized logging (ELK / OpenTelemetry / Prometheus)</li><li>Track:</li><li>Per-agent usage</li><li>Token consumption</li><li>Cost per request</li><li>Build alerts for anomalies and abuse</li></ul>Security &amp; Reliability<ul><li>Secure APIs and runtime execution</li><li>Protect against cost-drain and prompt abuse</li><li>Enforce audit logs and traceability</li><li>Participate in incident response</li></ul>Required Skills (Must Have)<ul><li>Linux (deep knowledge, not basics)</li><li>Docker + Kubernetes</li><li>CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.)</li><li>Cloud infrastructure (IaC preferred: Terraform)</li><li>Monitoring &amp; logging stacks</li><li>Experience deploying ML systems in production</li></ul>Strongly Preferred (High Signal)<ul><li>Experience with LLM deployments</li><li>Token usage monitoring</li><li>Cost optimization for inference workloads</li><li>Multi-tenant system experience</li><li>Security-first mindset</li></ul>What We Offer<ul><li>Competitive salary and equity package.</li><li>Flexible remote/hybrid work options.</li><li>Professional development stipend for courses and conferences.</li><li>Collaborative, fast‑paced environment driving digital commerce innovation.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs300,000.00 per monthExperience:<ul><li>&bull;	CI/CD (GitHub Actions, GitLab CI, Jenkins, etc.): 4 years (Preferred)</li><li>hands-on, production: 4 years (Required)</li></ul>Work Location: In person

Senior DevOps / MLOps Engineer (AI Platform)

Jeeny

<div>About Jeeny: 
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all. 
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan. 
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi. 
 
About the Role: 
We are looking for a highly skilled Senior DevOps Engineer to design, implement, and maintain scalable, secure, and highly available infrastructure. The ideal candidate will have strong experience in AWS cloud environments, CI/CD automation, monitoring, logging, database reliability, and distributed systems.
This role requires ownership mindset, deep troubleshooting capability, and collaboration with engineering, security, and data teams to ensure platform stability, performance, and cost efficiency. 
Key Responsibilities: 
Cloud &amp; Infrastructure<ul>
<li>
Architect and manage highly available and scalable infrastructure on AWS</li>
<li>Design secure VPC architecture, IAM policies, networking, and security controls</li>
<li>Manage EC2, EKS (if applicable), RDS, S3, ELB/ALB, CloudFront, etc.</li>
<li>Optimize cloud cost and implement FinOps best practices</li>
<li>Ensure disaster recovery and business continuity planning</li>
</ul>
CI/CD &amp; Automation<ul>
<li>
Design and maintain CI/CD pipelines using Jenkins</li>
<li>Implement automated build, test, and deployment workflows</li>
<li>Integrate SonarQube for code quality gates</li>
<li>Implement Infrastructure as Code (Terraform/CloudFormation preferred)</li>
<li>Automate repetitive operational tasks</li>
</ul>
Monitoring, Logging &amp; Observability<ul>
<li>
Manage ELK stack (Elasticsearch, Logstash, Kibana) for centralized logging</li>
<li>Implement log retention and optimization strategies</li>
<li>Configure and manage New Relic for APM and infrastructure monitoring</li>
<li>Set up alerting and incident response mechanisms</li>
<li>Improve system observability and SLO tracking</li>
</ul>
Database &amp; Messaging Systems<ul>
<li>
Manage and optimize: MongoDB, MySQL, PostgreSQL, Redis, Kafka</li>
<li>Ensure database high availability, replication, and backup strategies</li>
<li>Perform performance tuning and troubleshooting</li>
<li>Monitor message queue performance and reliability</li>
</ul>
Security &amp; Compliance<ul>
<li>
Implement DevSecOps practices</li>
<li>Ensure secure CI/CD pipelines</li>
<li>Perform infrastructure hardening</li>
<li>Work closely with security teams for vulnerability management</li>
<li>Ensure compliance with data protection standards</li>
</ul>
Reliability &amp; Performance<ul>
<li>
Lead incident management and root cause analysis</li>
<li>Improve system reliability and uptime</li>
<li>Implement auto-scaling and performance optimization strategies</li>
<li>Define and monitor SLAs, SLOs, and KPIs</li>
</ul>
Requirements<ul>
<li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent experience)</li>
<li>5+ years in DevOps / SRE / Cloud Engineering roles</li>
<li>Strong hands-on experience with AWS</li>
<li>Experience managing production systems at scale</li>
<li>Experience in high-traffic environments (ride-hailing / fintech / e-commerce preferred)</li>
</ul>
Benefits
What we offer:<ul>
<li>
Market Competitive Salary 
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li>
<li>Learn &amp; Grow 
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li>
<li>International Exposure 
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li>
<li>Health Insurance 
Full health coverage so you can focus on your goals with peace of mind.</li>
<li>OPD Coverage 
Outpatient visits? We&rsquo;ve got that covered for you.</li>
<li>End of Service Benefit 
Loyalty pays off, long-term service comes with financial rewards.</li>
<li>Dollar Adjustment Allowance 
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li>
<li>Internet Allowance 
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li>
<li>Fuel Allowance 
Fuel your daily grind with a monthly fuel allowance.</li>
<li>Learning &amp; Development Allowance 
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul> 

Company Culture
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</div>

Explore 368+ Senior lead software engineer in Lahore this February. Find roles across top companies and apply now to boost your career.

368 senior lead software engineer jobs In Lahore

Senior Software Engineer- (Python/saas)

Senior DevOps Engineer

Senior Full Stack Machine Learning Engineer

Senior DevOps Engineer

Senior Python Engineer

Senior DevOps / MLOps Engineer (AI Platform)

Senior DevOps Engineer