sql server dba

Qureos

Job Title: Backend Engineer

Years of Experience: 0-2 years

Company Name: Qureos

Employment Type: Full-time

Reporting Location: Karachi, Pakistan

Salary Range: Not disclosed

Job Description: We are looking for a Backend Engineer with 0-2 years of experience to join our team. The ideal candidate should have experience in Node.js and MERN stack.

Responsibilities:
- Develop and maintain backend services and APIs.
- Collaborate with the front-end team to integrate user-facing elements with server-side logic.
- Write clean, maintainable, and scalable code.
- Troubleshoot and debug issues.

Skill Requirements:
- Strong proficiency in Node.js and MERN stack.
- Experience with RESTful APIs.
- Knowledge of database technologies such as MongoDB.
- Familiarity with version control systems such as Git.

Information Technology and Services

Backend Engineer

Head of Growth, Qureos&nbsp;About Qureos &nbsp;We’re on a mission to transform how the world hires, from a 60-day painful process to 12 days with the power of AI.If you believe hiring should be fast, fair, and feel like magic, welcome to Qureos.We’re well-funded, growing fast, and building game-changing tech that helps companies hire talent 10x faster while giving job seekers the coaching and tools they deserve.And now, we’re looking for a Head of Growth who gets excited (borderline emotional) about CAC dropping and inbound leads exploding. &nbsp;The Role &nbsp;We want someone who can build, scale, and lead acquisition on both sides of our marketplace:<ul><li>B2C - bringing job seekers into the ecosystem</li><li>B2B - generating qualified inbound leads from companies hiring</li></ul>You’ll lead our growth team from day 1, redesign funnels, break things, fix things, run experiments, track everything, and basically treat growth like a sport.If dashboards excite you more than brunch, read on. &nbsp;What You’ll Do &nbsp;<ul><li>Own end-to-end acquisition for both job seekers and hiring companies</li><li>Build and scale omni-channel growth strategies across paid, organic, partnerships, product-led loops, and automation</li><li>Lead a multi-functional growth team (performance marketing, content, SEO, automation) from day 1</li><li>Build and optimize funnels for: Job seeker activation B2B inbound (MQL → SQL → Demo → Revenue)</li><li>Run experiments weekly: landing pages, ads, onboarding flows, messaging, pricing — everything is testable</li><li>Implement automation across acquisition, nurturing, and conversion funnels</li><li>Drive deep tracking &amp; analytics (you must love data more than comfortable amounts)</li><li>Collaborate closely with Product, Sales, and Leadership to turn insights → experiments → wins</li><li>Build scalable playbooks for international growth</li><li>Reduce CAC like it’s your personal vendetta</li><li>Increase revenue, conversion rates, and growth flywheels that compound over time</li><li>Bring energy, speed, ownership, creativity, and a “let’s build big” attitude every day</li></ul>&nbsp;Your KPIs &nbsp;<ul><li>CAC (Candidates)</li><li>CAC (Clients)</li><li>Inbound lead volume &amp; quality</li><li>MQL → SQL → Demo conversion</li><li>Revenue growth</li><li>Organic traffic growth &nbsp;</li></ul>If these scare you, this isn’t your role.If these excite you, you’re our person. &nbsp;Who You Are &nbsp;<ul><li>5–10 years in growth, performance marketing, user acquisition, or marketplace growth</li><li>Have built and scaled acquisition funnels in high-growth digital platforms</li><li>Proven experience reducing CAC, increasing revenue, and experimenting relentlessly</li><li>Strong understanding of B2B funnels and conversion optimization</li><li>Have led or trained teams in fast-paced, KPI-driven environments</li><li>Expert at multi-channel growth: paid, SEO, content, automation, email, social, community, partnerships</li><li>Obsessed with numbers, experiments, hypotheses, insights, dashboards</li><li>Action-oriented, fast-moving, and comfortable making decisions with imperfect data</li><li>Thinks like an owner. Moves like a founder.</li><li>Bonus: experience in marketplaces or HR-tech &nbsp;</li></ul>Tools You’ll Likely Use (examples) &nbsp;<ul><li>You don’t need to know all, but you should know many.</li><li>Zoho, HubSpot, GA4, Looker, Mixpanel</li><li>Meta Ads, LinkedIn Ads, Google AdsZapier, Make, Clearbit, Apollo, Lemlist, SEO tools (Ahrefs, SEMrush), Webflow, Hotjar</li><li>Marketing automation tools &amp; analytics stacks &nbsp;</li></ul>Why Join Qureos &nbsp;<ul><li>You’ll help build the future of hiring, genuinely!</li><li>Work with founders who care deeply about building something iconic</li><li>Backed by global &amp; regional tier-1 investors</li><li>Relocation &amp; visa sponsorship to Dubai</li><li>High ownership, fast execution environment</li><li>Real autonomy to build, experiment, scale</li><li>A mission that actually changes lives for job seekers worldwide</li></ul>&nbsp;If You’re Still Reading…You’re probably our kind of person.Apply. Let’s build something huge together.&nbsp;

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SAP Developer

<h2>Backend Engineer — AI &amp; Data Infrastructure</h2>&nbsp;We are looking for a Backend Engineer to build the AI and data infrastructure powering our next-generation talent and evaluation platform. You will work on data modeling, embeddings, feature extraction, pipeline creation, and serving AI-powered insights at scale. &nbsp;This is a hands-on engineering role focused on scalable AI infrastructure — not research or prototyping. You will collaborate closely with engineering and product teams to design systems that process structured and unstructured data, generate semantic representations, and expose intelligence through reliable APIs. &nbsp;<h2>Responsibilities &nbsp;</h2><h3>AI &amp; Data Infrastructure &nbsp;</h3><ul><li>Design and maintain data models for structured and unstructured data</li><li>Build data ingestion and processing pipelines</li><li>Implement embedding pipelines and vector search systems</li><li>Develop feature extraction logic using LLMs and smaller models</li><li>Optimize for accuracy, latency, and cost &nbsp;</li></ul><h3>Platform Engineering &nbsp;</h3><ul><li>Design and implement backend services that expose AI-driven insights</li><li>Maintain versioning, evaluation checks, and health monitoring for AI outputs</li><li>Optimize performance, caching, and retrieval logic for semantic data</li><li>Collaborate with engineers to ensure data consistency and reliability &nbsp;</li></ul><h3>Model Integration &nbsp;</h3><ul><li>Integrate LLM APIs, embedding models, and small language models</li><li>Build evaluation harnesses to validate extraction quality</li><li>Monitor drift, degradation, and inconsistencies over time &nbsp;</li></ul><h3>General &nbsp;</h3><ul><li>Write maintainable backend code (Node.js / Python / Go)</li><li>Work cross-functionally with product and engineering teams</li><li>Ensure AI systems are robust, observable, and production-ready &nbsp;</li></ul><h2>Required Skills &nbsp;</h2><ul><li>Strong backend engineering experience</li><li>Experience designing or maintaining data pipelines</li><li>Practical experience with embeddings and vector databases</li><li>Familiarity with LLM application patterns (prompting, extraction, RAG)</li><li>Strong SQL and NoSQL fundamentals</li><li>Ability to design scalable APIs</li><li>Understanding of evaluation metrics for AI systems &nbsp;</li></ul><h2>Nice to Have &nbsp;</h2><ul><li>Experience with LangChain or LlamaIndex</li><li>Experience with smaller open-source models (Llama, Qwen, Mistral, etc.)</li><li>Experience with ETL frameworks (Airflow, Dagster, Temporal)</li><li>Interest in skills-based matching or intelligence systems (optional) &nbsp;</li></ul><h2>Success Indicators &nbsp;</h2><ul><li>AI pipelines are stable, observable, and scalable</li><li>Data processing is efficient and correct</li><li>API services return reliable and consistent insights</li><li>Embedding systems improve retrieval quality over time</li></ul>

AI Data Platform Engineer

Braxtone Group

<figure class="table"><table><tbody><tr><td>&nbsp;The Senior Underwriter/data analyst&nbsp;plays a crucial role in supporting overall performance, efficiency, analyzing data results, evaluate and underwrite insurance risks in accordance with company policies and profitability targets while leveraging data analytics to monitor portfolio performance, detect trends, and support strategic decision-making. This position bridges technical underwriting with data-driven insight, ensuring sound risk selection, loss ratio improvement, and operational efficiency.&nbsp;</td></tr><tr><td>&nbsp;DUTIES AND RESPONSIBILITIES:&nbsp;&nbsp;<ul><li>A. Underwriting &amp; Risk Evaluation</li><li>Assess and underwrite individual and fleet policies in line with Braxtone and insurer guidelines.</li><li>Analyze policy applications, vehicle data, and client profiles to determine appropriate pricing and coverage terms.</li><li>Ensure underwriting decisions maintain compliance with company risk appetite and reinsurance requirements.</li><li>Review loss experience, claims frequency, and trends to adjust underwriting criteria or premiums.</li><li>Collaborate with brokers and insurance partners to clarify underwriting conditions or exclusions.</li><li>Recommend risk mitigation actions and re-underwriting for loss-making portfolios.</li><li>B. Data Analysis &amp; Reporting</li><li>Collect, clean, and analyze data from claims, underwriting, and operations systems.</li><li>Identify patterns affecting loss ratio, frequency of service, and claim cost by segment or partner.</li><li>Develop dashboards and reports showing key performance indicators (KPI), including:</li><li>Loss ratio by product and insurer</li><li>Average cost per service or claim</li><li>Policy utilization rates</li><li>Portfolio growth by partner</li><li>Support management in quarterly portfolio reviews and pricing model adjustments.</li><li>Monitor Minimum Deposit (M&amp;D) commitments and insurer performance against service volume targets.</li><li>C. Process Optimization</li><li>Recommend automation and workflow improvements for underwriting and data tracking.</li><li>Work with IT to improve data integration between CRM, claims, and finance systems.</li><li>Establish quality checks for data accuracy and consistency across departments.</li><li>D. Compliance &amp; Governance</li><li>Ensure adherence to underwriting authorities, company policies, and local regulatory standards.</li><li>Maintain confidentiality of partner and client data.</li><li>Prepare audit-ready documentation for internal and external reviews.</li></ul>Key Performance Indicators (KPIs)<ul><li>Portfolio Loss Ratio maintained below agreed benchmark.</li><li>Accuracy of underwriting decisions (error rate &lt; 2%).</li><li>Timely delivery of monthly underwriting and performance reports.</li><li>Reduction in data discrepancies and reporting delays.</li><li>Improvement in underwriting profitability through data insights.</li></ul>&nbsp;</td></tr><tr><td>Educational, Skills, and Experience:&nbsp;<ol><li>Bachelor’s degree, in Actuarial studies,&nbsp;Business Administration, Statistics.</li><li>5–8 years’ experience in underwriting (motor or general lines) with strong analytical exposure.</li><li>Experience in insurance data analysis, pricing, or business intelligence.</li><li>Excellent knowledge of insurance principles, risk assessment, and policy structures.</li></ol>&nbsp;Technical Skills:&nbsp;<ol><li>Advanced Excel, Power BI, or Tableau for data visualization.</li><li>Strong command of SQL or similar tools for data extraction (preferred).</li><li>Familiarity with CRM and insurance management systems.</li><li>Excellent reporting, presentation, and documentation skills.</li></ol>&nbsp;Personal Competencies&nbsp;<ol><li>Analytical thinker with high attention to detail.</li><li>Strong communication and negotiation skills.</li><li>Ability to balance commercial awareness with risk control.</li><li>Organized, proactive, and capable of working under pressure.</li><li>Collaborative and able to work cross-functionally with Operations, Finance, and IT.</li></ol>&nbsp;</td></tr></tbody></table></figure>

Senior Underwriter/ Data Analyst ( Bahrain Based)

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