Oracle CPQ technical consultant

Key Responsibilities

• Design, implement, and maintain highly available infrastructure on AWS.
• Automate infrastructure provisioning using Terraform (Infrastructure as Code).
• Define and monitor SLIs, SLOs, and error budgets to improve service reliability.
• Build and manage CI/CD pipelines to enable safe and frequent deployments.
• Implement robust monitoring, alerting, and logging solutions.
• Perform incident response, root cause analysis (RCA), and postmortems.
• Improve system resilience through automation and self-healing mechanisms.
• Optimize cloud resource utilization and cost (FinOps awareness).
• Collaborate with development teams to improve application reliability.
• Manage containerized workloads using Docker and Kubernetes (EKS preferred).
• Implement security and compliance best practices across infrastructure.
• Maintain operational runbooks and documentation.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 7–8 years of experience in SRE, DevOps, or Production Engineering.
• Strong hands-on experience with AWS services.
• Proven experience with Terraform for infrastructure automation.
• Experience building CI/CD pipelines (GitHub Actions, Jenkins, or similar).
• Strong scripting skills (Python, Bash, or Shell).
• Experience with Linux system administration.
• Hands-on experience with monitoring and observability tools.
• Good understanding of networking and cloud security fundamentals.
• Experience with Git and branching strategies

Role Overview

At The Sleep Company, innovation doesn’t stop at comfort — it extends to how customers discover, buy, and experience our products across every touchpoint.

As Director – Product, you will lead the complete consumer journey — from discovery to post-delivery — building frictionless, insight-led experiences that drive growth, efficiency, and customer delight.

You’ll head a multidisciplinary team spanning Product Management, UI/UX, and Analytics, acting as the strategic bridge between business, technology, and operations to deliver end-to-end impact across the ecosystem.

Key Responsibilities

1. Pre-Purchase (Discovery, Engagement & Consideration)

• Lead the digital product roadmap for website and app — including PLP, PDP, configurators, and lead journeys.
• Drive experimentation frameworks such as A/B testing, personalization, and funnel optimization.
• Build analytics models to identify high-intent user segments and optimize engagement and conversion depth.

2. Purchase (Conversion & Checkout)

• Own the end-to-end conversion experience across cart, checkout, and payment flows.
• Collaborate with Pricing, Payments, and Inventory teams to maximize order success and reduce drop-offs.
• Integrate omnichannel purchase journeys — online, in-store, and quick commerce — ensuring consistency and reliability.
• Govern pricing logic, delivery promise visibility, and PDP accuracy to strengthen customer trust.

3. Post-Purchase (Delivery, CRM & Logistics Experience)

• Delivery Experience:
• Build and optimize post-purchase flows — including order tracking, shipment visibility, and proactive notifications.
• Integrate with 3PLs, warehouse systems, and customer-facing delivery tracking tools for promise-to-delivery accuracy.
• Define and monitor SLA adherence, OTIF performance, and exception management systems.
• CRM & Service Systems:
• Partner with Leadsquared/CRM teams to enhance service workflows, escalation journeys, and ticket analytics.
• Enable a unified customer view across purchase, delivery, and service touchpoints.
• Leverage analytics to improve NPS, first-time resolution, and service turnaround.
• Returns, Replacement & Warranty:
• Streamline digital flows for returns, repairs, and warranty claims through robust reverse logistics.
• Build insight dashboards for product quality, defect tracking, and RCA feedback loops with manufacturing and operations.
• Experience Analytics:
• Develop real-time visibility on post-purchase KPIs such as delivery timeliness, customer satisfaction, and repeat intent.
• Create a closed feedback loop between Product, CX, and SCM teams to continuously enhance customer experience.

Analytics & Insights Leadership

• Establish a central analytics charter connecting marketing, product, and supply chain data.
• Build predictive models for demand, delivery lead-time, and defect reduction.
• Develop self-serve dashboards and KPI frameworks for leadership visibility.
• Drive a culture of experimentation, data literacy, and evidence-based decision-making across teams.

Team & Collaboration

• Lead a cross-functional team of Product Managers, UX Designers, and Data Analysts.
• Partner closely with Growth, CX, Tech, and SCM leaders to align priorities and deliver measurable outcomes.
• Run agile sprints with clear business objectives, defined deliverables, and strong governance.

Ideal Candidate

• 10–14 years of experience in Product, Analytics, or CX leadership roles within e-commerce, logistics, or consumer tech.
• Proven experience in building and scaling delivery-tech or post-purchase systems (order tracking, CRM, 3PL integration).
• Strong proficiency in analytics and visualization tools — GA4, Mixpanel, SQL, Tableau, Looker, etc.
• Strategic thinker with an operational mindset and a strong bias for execution.
• Exceptional stakeholder management, communication, and leadership skills.

We are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. You should also be a team player with a knack for visual design and utility.

If you’re also familiar with Agile methodologies, we’d like to meet you.

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics, or relevant field

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

Job description

Develops MDM data model and architecture

Configure MDM tools to perform MDM design as required

3+ years of experience in Pimcore

5+ years of experience in PHP/MySQL

3+ years of experience in MVC (Model-View-Controller) framework

4+ years of experience in Symfony 4.x.

Experience in front-end technologies like HTML, CSS, and Ajax.

Strong experience in design, implementation, and optimization of RDBMS databases,

especially MySQL/ MariaDB.

In-depth knowledge of MySQL Database.

Data analysis, data standardization, and data cleanup

Command over Object-Oriented PHP programming

Experience with RESTful services

Experience with DevOps (CICD, etc.).

Experience with Git.

Software Engineer – C++ (3-6 years of experience)

1. Telecom/Volte LTE 2g 3g  Preferred
2. Programming knowledge of multi-threading, sockets, IPCs.
3. Well versed with std and boost libraries.
4. Working knowledge of GNU compilers, optimization techniques on Unix/Linux based systems.
5. Proficient in debugging tools like GDB/Valgrind and profiling tools like oprofile.
6. Knowledge of Diameter (AAA) Stack

• Development experience of communication protocol stacks
• Hands on experience in multi-threaded design techniques and implementation
• Good hands-on experience on data structures and algorithms