senior lead software engineer

Taraki

<div>
 Our client
 
 Arbisoft
 
 is looking for
 
 Senior DevOps Engineer
 
 in
 
 Lahore.
 
 
 
 
 Job Description:
 
 
 
 
 Arbisoft
 
 is seeking a
 
 DevOps Engineer
 
 with a BS in Computer Science, Engineering, or equivalent practical experience, and at least 5 years of relevant experience in DevOps, SRE, Cloud Infrastructure, or Platform Engineering roles. This position requires strong hands-on expertise in Linux, multi-cloud environments, containerization, infrastructure automation, CI/CD, observability, and cloud security.
 
 
 This role is focused on building secure, reliable, and scalable systems and platforms that help engineering teams ship faster with less operational overhead. You will work across cloud infrastructure, Kubernetes, developer tooling, and production operations, with a strong emphasis on automation, resilience, and modern DevSecOps practices.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, provision, and maintain cloud infrastructure using Infrastructure as Code, with Terraform/OpenTofu/Terragrunt as the primary tool; experience with CloudFormation
 </li>
 <li>
 Build, operate, and optimize container platforms on Kubernetes and managed services such as EKS, AKS, and GKE.
 </li>
 <li>
 Implement modern deployment workflows using GitOps tools such as Argo CD, Flux, Helm, and Kustomize.
 </li>
 <li>
 Build and optimize secure CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or equivalent platforms.
 </li>
 <li>
 Improve delivery security using short-lived credentials and workload identity patterns such as OIDC, reducing reliance on long-lived secrets.
 </li>
 <li>
 Establish and maintain DevSecOps practices including secrets management, IaC scanning, container and dependency scanning, policy-as-code, and software supply chain controls such as SBOMs, artifact signing, and verification.
 </li>
 <li>
 Implement observability standards using OpenTelemetry, Prometheus, Grafana, Elastic/OpenSearch, Datadog, or similar tools for logs, metrics, traces, dashboards, and actionable alerting.
 </li>
 <li>
 Define and operate SLIs, SLOs, and reliability processes aligned with SRE principles.
 </li>
 <li>
 Design secure cloud networking across AWS, Azure, and/or GCP, including private networking, IAM, VPN/connectivity, firewalls, security groups, and service-to-service access controls.
 </li>
 <li>
 Support incident response, postmortems, disaster recovery readiness, and operational improvements based on production learnings.
 </li>
 <li>
 Partner with engineering teams to improve developer experience through reusable templates, self-service platform capabilities, golden paths, and automation.
 </li>
 <li>
 Drive infrastructure cost optimization and FinOps practices across cloud, Kubernetes, and managed services.
 </li>
 <li>
 Collaborate with engineering, security, and product teams to improve platform reliability, scalability, performance, and security posture.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BS in Computer Science, Engineering, or equivalent practical experience.
 </li>
 <li>
 5+ years of relevant experience in DevOps, SRE, Cloud Infrastructure, or Platform Engineering roles.
 </li>
 <li>
 Strong Linux administration skills and solid scripting ability in Bash and/or Python.
 
 </li>
 </ul>
</div>

Senior DevOps Engineer - Arbisoft

Smart Working

<div>
 
 
 
 About Smart Working
 
 
 At Smart Working Solutions, 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
 
 
 We are looking for a
 
 Senior DevOps Engineer
 
 with strong cloud infrastructure expertise
 
 (GCP / AWS / Azure)
 
 using
 
 Terraform
 
 and deep
 
 MongoDB Atlas
 
 ownership experience to design, operate, and scale a cloud-native infrastructure powering a large enterprise SaaS platform.
 
 
 
 This is a high-ownership, architecture-level role, not just execution. You will be responsible for designing and running production systems end-to-end, with a particular focus on database infrastructure (MongoDB Atlas) and scalable cloud environments.
 
 You will work in a fully remote, async-first environment, collaborating closely with engineering teams to ensure high availability, performance, and operational excellence across multiple environments.
 
 
 
 
 
 
 
 
 Responsibilities
 
 <ul>
 
 <li>
 Design, implement, and operate cloud-native infrastructure across GCP, AWS, or Azure using Terraform.
 </li>
 
 <li>
 Take full ownership of MongoDB Atlas in production, including:
 
 <ul>
 
 <li>
 Cluster architecture and scaling
 </li>
 
 <li>
 Replication and high availability
 </li>
 
 <li>
 Backup and disaster recovery strategies
 </li>
 
 <li>
 Performance tuning and query optimisation
 </li>
 
 <li>
 Security and access control
 </li>
 
 </ul>
 
 </li>
 
 <li>
 Architect and manage containerised and serverless workloads (e.g., Cloud Run, ECS, Kubernetes, or equivalents).
 </li>
 
 <li>
 Design and operate event-driven systems (e.g., Pub/Sub, SQS/SNS, EventBridge, or equivalents).
 </li>
 
 <li>
 Build and maintain CI/CD pipelines with a strong focus on automation, reliability, and scalability.
 </li>
 
 <li>
 Develop reusable Infrastructure as Code (Terraform) modules and manage multi-environment setups.
 </li>
 
 <li>
 Collaborate with engineering teams on system architecture, scalability, and performance optimisation.
 </li>
 
 <li>
 Implement robust monitoring, alerting, and observability across distributed systems.
 </li>
 
 <li>
 Lead incident response and root cause analysis, driving long-term improvements.
 </li>
 
 <li>
 Own infrastructure decisions end-to-end, including architecture, cost optimisation, and performance.
 </li>
 
 <li>
 Document systems, create runbooks, and establish best practices.
 </li>
 
 <li>
 Mentor engineers and promote DevOps best practices across the organisation.
 </li>
 
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 
 <li>
 6+ years of DevOps / Infrastructure Engineering experience in production environments.
 </li>
 
 <li>
 Strong hands-on experience with at least one major cloud provider: GCP, AWS, or Azure using Terraform.
 </li>
 
 <li>
 Advanced experience with Terraform (modularisation, remote state, multi-environment setups).
 </li>
 
 <li>
 Proven experience designing and operating scalable cloud infrastructure.
 </li>
 
 <li>
 Mandatory: Deep MongoDB Atlas experience in production, including:
 
 <ul>
 
 <li>
 Cluster configuration and scaling
 </li>
 
 <li>
 Replication and failover
 </li>
 
 <li>
 Backup and recovery strategies
 </li>
 
 <li>
 Performance tuning and indexing
 </li>
 
 <li>
 Security and access management
 </li>
 
 </ul>
 
 </li>
 
 <li>
 Experience with containerised environments (Docker, Kubernetes, or equivalents).
 </li>
 
 <li>
 Experience building and maintaining CI/CD pipelines.
 </li>
 
 <li>
 Solid understanding of event-driven architectures.
 </li>
 
 <li>
 Strong knowledge of monitoring, logging, and observability in distributed systems.
 </li>
 
 <li>
 Ability to operate at an architect/owner level, not just execute tasks.
 </li>
 
 <li>
 Strong communication skills and ability to work in a remote, async-first team.
 </li>
 
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 
 <li>
 Experience working across multiple cloud providers.
 </li>
 
 <li>
 Experience implementing GitOps practices.
 </li>
 
 <li>
 Familiarity with advanced observability tools (Datadog, APM, tracing).
 </li>
 
 <li>
 Experience supporting high-scale SaaS platforms.
 </li>
 
 <li>
 Interest in platform engineering and developer experience.
 </li>
 
 </ul>
 
 
 
 
 
 
 At Smart Working, you&rsquo;ll never be just another remote hire.
 
 
 
 
 Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
 
 
 
 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 DevOps Engineer (Cloud & MongoDB & Terraform), PK (Remote, Full-Time) [HR154]

NorthBay Solutions

<div>
 
 
 
 
 
 
 Employment Type:
 
 
 
 
 
 
 
 
 
 
 
 
 Full-Time | Permanent
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 
 
 
 
 
 
 
 We are looking for a
 
 
 
 
 
 
 
 
 
 
 
 
 Lead Data Engineer
 
 
 
 
 
 
 
 
 
 
 
 
 with strong expertise in
 
 
 
 
 
 
 
 
 
 
 
 
 AWS and database technologies (Oracle PL/SQL, PostgreSQL PL/pgSQL, Amazon Redshift)
 
 
 
 
 
 
 
 
 
 
 
 
 . The ideal candidate will lead the design, development, and optimization of scalable data platforms and drive enterprise-level data engineering initiatives.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 
 
 
 
 
 
 
 10+ years of experience in Data Engineering, Data Warehousing, and Database Development
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Primary Skills
 
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Data Engineering, Data Architecture, Data Warehousing, SQL Development
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Technologies
 
 
 
 
 
 
 
 
 
 
 
 
 
 Must Have: Redshift, Oracle PL/SQL, PostgreSQL PL/pgSQL
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Nice to Have: AWS (S3, Lambda), SQL, ETL/ELT, Data Modeling, Query Optimization, Performance Tuning, Linux/Unix, Git, CI/CD
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Lead the architecture and implementation of
 
 
 
 
 
 
 
 
 
 
 
 
 data pipelines and data warehouse solutions on AWS
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Design and optimize
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon Redshift-based analytics platforms
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and review complex
 
 
 
 
 
 
 
 
 
 
 
 
 PL/SQL and PL/pgSQL procedures, functions, and scripts
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Drive
 
 
 
 
 
 
 
 
 
 
 
 
 data migration and transformation
 
 
 
 
 
 
 
 
 
 
 
 
 across Oracle, PostgreSQL, and Redshift environments
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement
 
 
 
 
 
 
 
 
 
 
 
 
 performance tuning strategies
 
 
 
 
 
 
 
 
 
 
 
 
 including indexing, partitioning, and query optimization
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Establish best practices for
 
 
 
 
 
 
 
 
 
 
 
 
 data governance, security, and quality
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Collaborate with cross-functional teams to define and deliver data solutions
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Mentor engineers, conduct code reviews, and provide technical leadership
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Key Requirements
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Strong hands-on experience with
 
 
 
 
 
 
 
 
 
 
 
 
 AWS data ecosystem (Redshift, Glue, S3, Lambda)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Advanced expertise in
 
 
 
 
 
 
 
 
 
 
 
 
 Oracle PL/SQL and PostgreSQL (PL/pgSQL)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Proven experience in
 
 
 
 
 
 
 
 
 
 
 
 
 enterprise-scale data warehouse architecture
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong understanding of
 
 
 
 
 
 
 
 
 
 
 
 
 ETL/ELT frameworks and pipeline design
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Expertise in
 
 
 
 
 
 
 
 
 
 
 
 
 performance tuning and large-scale data processing
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Prior experience in
 
 
 
 
 
 
 
 
 
 
 
 
 technical leadership or mentoring roles
 
 
 
 
 
 
</div>

Lead Data Engineer (AWS / PLSQL / PL/PGSQL)

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>
soIkqs9cJc</div>

Senior Data Engineer (AWS)

BearPlex

About BearPlexBearPlex is a software engineering company building SaaS platforms, AI-driven applications, and custom systems for US enterprise clients. From our Lahore hub, our engineers work directly with US product and engineering teams no middle layers, no handoffsAbout the RoleWe're hiring a Senior SDET to own feature-level test strategy and automation across our client engagements. You'll design and maintain automated test suites, integrate quality signals into CI/CD, and partner with engineering teams to prevent defects before they ship. This is a code-first role if your day-to-day is still click-testing in spreadsheets, this isn't the role for you.Key Responsibilities- Own test strategy across unit, API, UI, and end-to-end layers, aligned to Definition of Done and release criteria.- Design and maintain automation frameworks from scratch for UI, E2E, and API coverage (REST and GraphQL).- Integrate test suites into CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins), triage failures, and eliminate flaky tests.- Partner with engineers and PMs during design to improve testability through contracts, logging, and observability.- Perform root cause analysis on defects, write regression coverage, and communicate quality risks to US stakeholders.- Run basic load and performance testing to validate enterprise-level reliability- Mentor junior QA engineers on automation patterns and modern quality practices.Requirements- 4+ years in SDET / QA automation, with at least 2+ years writing automation code (not recorded scripts).- Strong hands-on proficiency in TypeScript or JavaScript (Python or Java acceptable if you adapt fast).- Proven expertise with Playwright or Cypress. Candidates relying on manual testing or legacy Selenium-only workflows will not be a fit.- Strong API testing experience with Postman, REST Assured, or native Playwright/Cypress capabilities.- Working knowledge of Docker, Git, SQL, and running tests in CI/CD environments- Solid grasp of Agile/Scrum and SDLC fundamentals.- Excellent spoken and written English you'll be on calls with US stakeholders presenting quality metrics.Preferred- Exposure to testing AI- or LLM-powered features (prompt evaluation, golden datasets, RAG pipelines).- Performance testing with K6 or JMeter.- Familiarity with AI-assisted testing tools (GitHub Copilot, Applitools).- Experience with cloud tooling, containers, and observability stacks.- Awareness of US compliance standards such as SOC 2 or ADA Accessibility.Shift &amp; Location- Full-time, based in Lahore, Pakistan- Overlapping US hours required for direct collaboration with US stakeholdersCompensationTop-of-market PKR salary based on skills and experience. We pay competitively for senior automation talent and reward engineers who raise the quality bar.How to ApplySend your CV. Candidates with links to GitHub repos or automation projects in their resume will stand out.Equal OpportunityBearPlex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on merit, competence, and performance. Female candidates and minorities are strongly encouraged to apply.Work Location: In person

Senior SDET

HR Ways

Senior Software Engineer (JavaScript/TypeScript)About Company:﻿We are a product company serving US-based clients in the cybersecurity domain. Our office is located in Phase 8, Lahore.We are looking for a Senior Software Engineer (JavaScript/TypeScript) to build highly resilient, high-performance web applications and contribute to delivering world-class secure mobile services.Role Purpose<ul><li>Build and maintain robust, scalable web applications</li><li>Collaborate within a self-organizing, cross-functional Agile team</li><li>Develop high-quality front-end applications using Angular and Node.js</li><li>Influence technical direction and continuously improve tools and processes</li></ul>Key Responsibilities<ul><li>Translate designs and wireframes into high-quality, maintainable code</li><li>Integrate payment gateways using third-party APIs</li><li>Optimize applications for maximum performance across devices and browsers</li><li>Ensure applications are secure, resilient, and production-ready</li><li>Build reusable front-end components and libraries</li></ul>Requirements<ul><li>4&ndash;5 years of experience as a Full Stack or Senior Software Engineer (Angular &amp; Node.js)</li><li>Strong proficiency in JavaScript/TypeScript and modern ECMAScript standards</li><li>Experience with responsive and adaptive design frameworks</li><li>Solid understanding of RxJS, RESTful APIs, and asynchronous programming</li><li>Familiarity with front-end tools such as Webpack, Babel, NPM, and CI/CD pipelines</li><li>Experience with authorization mechanisms (e.g., JWT) and API gateways</li><li>Experience with Express or similar frameworks is a plus</li></ul>Nice to Have:<ul><li>Experience in building native iOS applications</li></ul>Location: Phase 8, Lahore Working Hours: 12:00 PM &ndash; 8:00 PM (to be confirmed)Work Location: In person

Software Engineer

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

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