Sr. Database developer

Design, develop, and maintain high-performance Android applications using Kotlin (Java knowledge preferred). Integrate REST APIs, Firebase, WebSockets, payment gateways, and third-party services while implementing secure authentication (OTP, JWT, OAuth) and role-based access control. Optimize application performance, security, scalability, and manage Play Store releases. Experience with Git, cloud platforms (AWS/GCP), and API security best practices is essential. Exposure to real-time applications (ride-hailing, delivery, chat), CI/CD, Docker, and WhatsApp Business API is an advantage. Candidates should possess strong analytical, debugging, communication, and problem-solving skills with the ability to work independently in a fast-paced startup environment.

Data Engineer – Splunk & ELK Stack

Job Summary

We are seeking a skilled Data Engineer with hands-on experience in Splunk, the ELK Stack (Elasticsearch, Logstash, Kibana), and modern data engineering practices. The ideal candidate will design, build, and maintain scalable data pipelines, log analytics platforms, and monitoring solutions to support business intelligence, security, and operational excellence.

Key Responsibilities

• Design, develop, and maintain scalable data ingestion and ETL/ELT pipelines.
• Configure, administer, and optimize Splunk environments for log collection, indexing, searching, and reporting.
• Develop and maintain ELK Stack solutions using Elasticsearch, Logstash, Kibana, and Beats.
• Build dashboards, visualizations, alerts, and reports for infrastructure, application, and security monitoring.
• Integrate data from multiple structured and unstructured sources into centralized analytics platforms.
• Optimize Elasticsearch clusters for performance, scalability, and high availability.
• Troubleshoot data pipeline failures, indexing issues, and system performance bottlenecks.
• Automate deployment and configuration using scripting and Infrastructure as Code where applicable.
• Collaborate with DevOps, Security, Cloud, and Application teams to implement observability and monitoring solutions.
• Ensure data quality, governance, and compliance with organizational standards.
• Document technical designs, operational procedures, and best practices.

Required Skills

• Strong experience with Splunk Enterprise administration and development.
• Hands-on experience with the ELK Stack:
• Elasticsearch
• Logstash
• Kibana
• Beats (Filebeat, Metricbeat, Winlogbeat, etc.)
• Experience building ETL/ELT pipelines and data integration workflows.
• Strong SQL skills and experience with relational databases.
• Experience with Python, Shell scripting, or Java for automation.
• Understanding of log management, monitoring, and observability concepts.
• Experience working with Linux environments.
• Knowledge of REST APIs and data ingestion techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with Git and CI/CD pipelines.

Preferred Skills

• Experience with Kafka, Spark, or other streaming technologies.
• Knowledge of Docker and Kubernetes.
• Experience with Terraform, Ansible, or other Infrastructure as Code tools.
• Understanding of SIEM concepts and security analytics.
• Experience with Prometheus, Grafana, or OpenTelemetry.
• Exposure to big data technologies and distributed systems.

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

We don't like to waste time.

We are:

• A profitable media company sharing the latest on AI and technology to business owners in the US.

• Our audience consists of 100,000+ top CEOs and leaders in the US.

• Profitable from day 1 and led by an amazing management team

• Hustlers, active, and we bring the fire everyday 🔥

Here's why you should join us:

• Completely remote team

• Working at the cutting edge of technology (artificial intelligence)

• The clients we/you work with in the US will be some of the nicest people in the world

• Our company has big plans to grow over the next 5 years. Join us if you want to be part of this journey :)

We're looking for a killer Sales Account Executive. Ideally, you have sold advertising before.

You understand: CPMs, CPCs, CPLs, advertising terms, sales, how to manage clients, and how to deal with US clients (proper English is required for this role).

Job Description:

Email communication: Build rapport with our current clients and create sponsorship packages for them in our newsletter. Here’s our sponsorship page.

Prospecting New Sponsors: Identify and engage potential sponsors for our newsletter through various channels, inbound, and outbound (cold outreach, warm intros etc.)

Closing and Processing Sponsors: Take charge of the entire sales cycle - from prospecting potential sponsors to closing deals and facilitating the processing of sponsorships, ensuring a seamless collaboration with sponsors.

Content Collaboration: Collaborate with the content team to integrate sponsorships seamlessly, ensuring a win-win for both sponsors and our audience.

Sales Strategy Development: Develop and refine sales strategies based on market trends and feedback, continuously improving our sales approach.

Qualifications

Experience in Ad Sales: Preferably 2+ years of experience in ad sales, preferably in the newsletter or media industry. Bonus points if you've closed $1M+ deals before (combined) and ideally $50k+ deals (singular). Not required!

Proactive Approach: A proactive approach to identifying and pursuing potential sponsors, with a knack for opening doors and establishing relationships.

Excellent Communication Skills: Strong verbal and written communication skills, with the ability to present sponsorship packages compellingly.

Team Collaboration: Experience working in collaborative environments, partnering with cross-functional teams to achieve business goals.

Tech Stack: familiarity with CRMs, Airtable, Superhuman (for email and follow ups)

Availability: Open to working during US timezone and available to dedicate 2 to 3 hours on weekends for promptly responding to client email inquiries.

ENGINEERING MANAGER @REBEL FOODS

We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.

The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods current presence in 7 countries (India, Indonesia, UAE, UK, Malaysia, Singapore, Bangladesh) with 15 + brands and 3500+ internet restaurants has been build on a simple system - The Rebel Operating Model.

While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.

We urge you to refer to the below to understand how we are changing the restaurant industry before applying at Rebel Foods.

https://jaydeep-barman.medium.com/why-is-rebel-foods-hiring-super-talented-engineers-%20b88586223ebe" target="_blank">link 1

https://jaydeep-barman.medium.com/how-to-build-1000-restaurants-in-24-months-the-rebel-method-%20cb5b0cea4dc8" target="_blank">link 2

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 3

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db" target="_blank">link 4

In order to understand more about the challenges that you might face at Rebel, it’s important that we go back to the inception and get acquainted about our journey to date. From the times when excel sheets served as our POS system at stores having one brand, to our evolution as a company that uses smart kitchens - we have traversed the phone, web, and app channels over time. From being a single brand restaurant, we moved to be a parent company with a dozen restaurant brands under the umbrella, while simultaneously moving our operations from a single kitchen to more than 300 locations across 30 cities in India and in a few international locations. The team of engineers at Rebel has built one of the most unique platforms in the world that can not only help operate a kitchen with multiple brands but also aids in operating business at scale. To give you additional perspective, the team has built more than 40+ products in the last 4.5 years. The innovation spans through technologies like polygon architecture (dynamic delivery radius) for a multi-brand operation from a kitchen, to managing each step of the kitchen ops — queuing, load/prep time, batching of orders, out of the door algorithms; inventory prediction based on consumption data, personal

recommendation engine, deep integration with every aggregator, last-mile delivery app, CRM systems, multiple brand websites and apps, reporting and analytics systems, and more. Everything that was mentioned has been built on a tech stack developed by our Engineers. This enabled us to tackle the massive complexity of a multi-brand operation while keeping all parts of the business supremely efficient and optimized.

We are now building Engineering 2.0 at our company. The vision is to make technology the Brain (AI, Machine Learning, analytics to drive every business decision of the company), the Body (robotics led automation at our Kitchens, driving tremendous operational efficiency), and the Mind ( building an AI/ ML-driven virtual personal butler for customers across app, web, and voice, like Netflix of food) at Rebel. This will mean working across technologies and product/engineering teams to build solutions that would be “first - time” in the world. Engineering @ Rebel will break new grounds.

An opportunity to revolutionize the restaurant industry

Here, at Rebel Foods, we are using technology and automation to disrupt the traditional food industry. We are focused on building an operating system for Cloud Kitchens - using the most innovative technologies - to provide the best food experiences for our customers.

You will enjoy working with us, if:

• You are passionate about solving customer problems using people, processes and technology
• You are an engineer at heart, obsessed with high quality software
• You have a flair for good technical and organizational design
• You are unafraid of making bold decisions to eliminate inefficiencies and improving the velocity of software development
• You are an owner and take responsibility for outputs and outcomes
• You are willing to dive deep to solve complex software issues
• You are a teacher and mentor

Our technology ecosystem:

• Languages: Java, Typescript, Javascript, Ruby
• Frameworks and environments: Spring Boot, NodeJS, ExpressJS
• Databases: AWS Aurora MySQL, MongoDB
• Cloud: AWS
• Microservices, Service Oriented Architecture, REST APIs, Caching, Messaging, Logging, Monitoring and Alerting
• CI/CD and DevOps
• Bitbucket, Jira

You will mostly spend time on the following:

• Leading a team of software engineers; owning and developing the roadmap to support your long term vision for the services and conducting tactical execution at the same time
• Hiring, mentoring and coaching your direct reports to be the best they can be, both in their current roles and in their careers
• Liaising with product, business and leadership teams to ensure business priorities are met
• Continuously improving management and engineering processes. Planning, estimating projects and tasks and ensuring software development best practices are being followed
• Working closely with engineers on day to day activities, including writing, reviewing and troubleshooting code
• Owning services, and managing ongoing features, fixes, and daily operations of services
• Teaching and mentoring team members

We’re excited about you if you have:

• At least 15 years of experience in software development, including experience building microservices and distributed systems
• Built and led high performing engineering teams
• Experience working with complex, high traffic, and consumer facing distributed platforms
• Proven engineering knowledge and experience
• The ability to operate at a managerial level as well as diving deep and getting your hands dirty when required
• Experience in establishing software development processes and practices; A track record of good project planning and execution
• Good communication skills, both in person and via the keyboard
• Made decisions that impacted technical design, development and planning for one or more projects / programs that impacted multiple teams or functions.
• Good programming skills in one or more languages: Java, Typescript, Javascript, C#, C++, Python or Ruby
• Experience working in Cloud environments: AWS or Azure or GCP
• Experience building secure, configurable, observable services
• Excellent troubleshooting and problem-solving skills
• The ability to mentor and teach junior and senior engineers
• The ability to collaborate effectively within and across engineering, product and business teams

We are looking for a full stack Java Developer with an experience of 1+ years. The individual should have good technical knowledge of Core Java, Sql, Spring, Spring Batch, Spring Boot, Apache Spark. Exposure to sql databases like Oracle, Mysql, Microsoft Sql is a must. Any experience / knowledge / certification on Cloud technology preferrably Microsoft Azure is good to have. Exposures to non sql databases like Neo4j or Document database is again good to have.

The individual should have good knowledge of design patterns and also be able to implement them in desired conditions. Finally the individual should be smart and look to provide solutions for problems.

About Company

Obeikan Investment Group is a multi-national leader in packaging, education and health, with annual revenue of USD $1 billion. We're one of Saudi Arabia's 100 largest companies, with more than 3,000 employees and operations in 16 countries.

Job Location – Remote with an opportunity to move to Riyadh, Saudi Arabia