
Our client is a disruptive performance marketing agency with a data-driven approach adding impetus to its client's growth. The agency has developed two proprietary tools that enables them to execute large scale marketing campaigns. Atomated media buying, centralized data tracking, business intelligence reports and personalized ads are the major services offered to the clients.
- Understanding client goals, creating and executing strategies to exceed these goals.
- Preparing and analysing of performance reports & review with clients.
- Providing strategic insights on the landing page, ad creative etc.
- Analysing performance of digital campaigns across the level; providing tactical recommendations for increased performance.
- Assisting in identifying opportunities that are most effective at driving conversions, revenue, ROI, and scale across Digital Marketing programs.
- Measuring the success of campaigns using appropriate key performance indicator (KPI) classifications – impressions, clicks, CTR, CPC, CPA, CPM, conversions.
- Reviewing and analysing results from current program offerings & suggesting changes and enhancements to help increase conversions, revenue and ROI.
- Assisting in training on tactical processes and best practices to Digital Analyst(s).
- Attending and participating in all relevant meetings.
- Collecting, reporting, analysing and interpreting the digital analytics data to drive decision making and improve its digital products.
- Creating case studies on the work.
- Researching, building frameworks and innovating the offering portfolio of the company.
- Establishing thought leadership by contributing articles towards the official.
- Managing projects related to digital analytics from start to finish including data integration, report and dashboard automation, product analytics and insight, data collection, and product optimisation
- In depth knowledge of Google Adwords, Facebook Ads and Google Analytics.
- Ability to multitask in a fast paced environment.
- A firm believer in stats and can weave stories around numbers.
- Aggressive about meeting goals & timelines.
- Editorial experience is a plus.
- Strong writing and creativity skills.
- Detail-oriented, takes initiative.
- Able to effectively work independently, or at times as part of a team.
- Strong working knowledge of Microsoft Office, specifically Word, Excel and PowerPoint is a must.
- Excellent problem solving and analytical skills and combine creativity with strong quantitative skills.
- Above 80% in class 10th & 12th Maths score.
- BE/ BTech - Should be from Tier 1/ Tier 2 college

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At Kitchen Spurs, we help restaurants grow by combining data, design, and operational intelligence. We’re hiring a Catalog Lead to take full ownership of how menus are structured, priced, and presented on delivery platforms like Swiggy and Zomato—while managing execution through POS systems or first-party menu tools.
This is a critical, cross-functional role that directly impacts discoverability, conversions, and revenue for our restaurant partners. As a team lead, you will also be responsible for mentoring, training, and overseeing a team of catalog executives, ensuring accuracy, speed, and consistency in execution at scale.
Role Overview
You will be responsible for crafting and managing the digital menu experience across platforms. While the menu is presented to customers via Swiggy and Zomato, it's often managed through external POS systems (like Petpooja or DotPe) or the platforms' own menu dashboards. This role requires strong attention to detail, platform fluency, and a deep understanding of how to drive performance through better catalog design.
Key Responsibilities
- Take full ownership of how restaurant partners' menus appear on Swiggy and Zomato
- Navigate POS systems and aggregator dashboards to implement structured, conversion-optimized menus
- Work closely with internal teams and restaurant partners to translate business goals into catalog strategy
- Benchmark competitors and guide pricing, add-on logic, modifiers, images, and naming conventions
- Document processes and develop SOPs to support execution at scale
- Train and manage a team of catalog executives to maintain quality and turnaround times
- Ensure menus are not only accurate, but also positioned to maximize AOV, frequency, and discoverability
- Use a combination of culinary knowledge and performance data to refine catalog strategies.
What We’re Looking For
- 2 to 5 years experience working with e-commerce catalogs
- Comfort with online tools (either first party or via middleware like UrbanPiper, DotPe, Petpooja)
- Strong understanding of menu performance drivers - from pricing and categorization to imagery and modifiers.
- A process-oriented mindset with the ability to define playbooks and troubleshoot at scale.
- Excellent communication and client-facing skills with a consultative approach.
- Hands-on problem solver with ownership mentality and first-principles thinking.
- Ability to collaborate across teams (e.g., Account Managers, Developers)
- Experience using ChatGPT or similar AI tools to plan smarter and execution at scale, eg, menu descriptions, cross sell suggestios (e.g., descriptions, tags), or assist with operational documentation and efficiency
Good to Have
- Proficiency with Google Sheets (QUERY, VLOOKUP, ARRAYFORMULA, etc.)
- Background in food delivery, restaurant tech, or menu merchandising
- Experience managing catalogs across multiple brands
- Visual judgment in selecting and refining food images for platform use
- Proven ability to lead and mentor a team.
Job Summary:
The Incident Response (IR) Lead manages a team of experts with diverse skill setsincluding Security Operations Center (SOC), Forensics, and technical Subject Matter Expert (SME) advisory. The IR Lead is specifically tasked with managing all aspects of an Incident Response engagement to include incident validation, monitoring, containment, log analysis, system forensic analysis, and reporting. The Incident Response Lead is also responsible for building the relationship with the client and client’s counsel and ensuring the engagement’s objectives and expectations are met and executed successfully as documented in the statement of work. You will leverage a solid foundation of technical expertise in Cybersecurity, Incident Response, and Digital Forensics to successfully execute your responsibilities.
ROLES AND RESPONSIBILITIES
· Accurately collects information from the client concerning the incident to include but not be limited to the client’s environment, size, technology, and security threats. In addition, the IR Lead is responsible for capturing all client’s expectations and objectives throughout the engagement to ensure successful delivery.
· The main point of contact manages and participates in all communications with the client and the client’s counsel during the engagement. The IR Lead sets the cadence for communications.
· Management and Coordination of all technical efforts for the IR engagement to drive the process forward through; tool deployment, ransomware decryption, restoration, and recovery efforts, system rebuilds, system, application, and network administration tasks.
· Coordinates with the Ransom Specialist when ransom negotiations are needed. Ensures updates regarding ransom status are delivered to the client and counsel in a timely fashion.
· Manages and coordinates the onsite efforts with the Onsite Lead or team ensuring they understand and can execute the objectives for the onsite work. Additional responsibilities with onsite efforts include ensuring communications are frequent and getting the daily onsite update communicating these back to the IR Director and/or IR Ops Associate for their Tiger Team.
· Ensures the Forensic Lead is coordinating the collection of data necessary for the investigation.
· Ensures SentinelOne is deployed on time and adding value.
· Communicates with sales when appropriate for SentinelOne, provide client contact.
· Communicates in tandem with the Forensic Lead pertinent findings to the client during the investigation.
· Follows up with the SOC Lead on SentinelOne alerts and encourages/coordinates client participation with the product.
· Accountable for final report review, ensuring the report is accurate, professional, and meets the objective of client counsel.
· Other duties as assigned.
DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required personnel so classified.
Role Description : Skills & Knowledge
1. Experience leading scoping calls
2. Strong background and practical hands-on experience with Windows or Linux System and Network Administration, Security DevOps, Incident Response and Digital Forensics, or Security Engineering
3. Practical experience performing in a functional role including but not limited to one or more of the following disciplines: computer forensics, Incident Response, data analytics, Security Operations, and Engineering, Digital Investigations
4. Possesses strong verbal and written communication skills
JOB REQUIREMENTS
· Bachelor's degree in Computer Science, Computer Engineering, Information Assurance, Forensic Sciences, or related technical field; Graduate degree preferred
· 10+ years experience leading full-cycle incident response investigations and communicating with the client/counsel/carriers
· Must be eligible to work in the US without sponsorship
WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of this job.
PHYSICAL DEMANDS
· No physical exertion is required.
· Travel within or outside of the state.
· Light work: Exerting up to 20 pounds of force occasionally, and/or up-to 10 pounds of force as frequently as needed to move objects.
Exp 1 to 8 yrs. Ctc 4 to 20 lpa
A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen's attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. A malware analyst is sometimes called a reverse engineer.
Security product companies, in industries such as anti-virus or network intrusion prevention, may hire malware analysts to develop ways of blocking malicious code. Large organizations in non-security industries may also hire full-time malware analysts to help protect their environment from attacks, or to respond to incidents that involve malicious software. Malware analysis skills are also valued by companies that cannot justify hiring full-time people to perform this work, but who wish their security or IT administrators to be able to examine malicious software when the need arises.
Experience:4-7years
Package: Exp- 3.5X max
Location: Hyderabad Location (WFO)
Skillset: Java developer with spring boot and microservices
Note: If you get selected you need to come and work in the office Hyderabad location

Role & responsibilities:
- Developing ETL pipelines for data replication
- Analyze, query and manipulate data according to defined business rules and procedures
- Manage very large-scale data from a multitude of sources into appropriate sets for research and development for data science and analysts across the company
- Convert prototypes into production data engineering solutions through rigorous software engineering practices and modern deployment pipelines
- Resolve internal and external data exceptions in timely and accurate manner
- Improve multi-environment data flow quality, security, and performance
Skills & qualifications:
- Must have experience with:
- virtualization, containers, and orchestration (Docker, Kubernetes)
- creating log ingestion pipelines (Apache Beam) both batch and streaming processing (Pub/Sub, Kafka)
- workflow orchestration tools (Argo, Airflow)
- supporting machine learning models in production
- Have a desire to continually keep up with advancements in data engineering practices
- Strong Python programming and exploratory data analysis skills
- Ability to work independently and with team members from different backgrounds
- At least a bachelor's degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education is welcome and encouraged.
- 3+ years of work in software/data engineering.
- Superior interpersonal, independent judgment, complex problem-solving skills
- Global orientation, experience working across countries, regions and time zones

- Translation of complex functional requirements into technical requirements
- Design, develop and maintain complex systems using best of the breed development practices and technology.
- Responsible for the overall software development life cycle.
- Delivery of High Quality & Scalable systems and applications with a sharp focus on timelines.
- Being on the lookout for bettering the software engineering practices and tools within the organization
- Collaboration with other stakeholders to provide robust and well-rounded solutions
- Report on the status of product delivery and quality to management, customer support and product teams.
- Experience of 5+ years in designing & developing highly scalable, performant web applications
- Strong programming, debugging, and problem-solving skills
- Strong Computer Science Fundamentals (Data structures and Algorithms)
- Sound understanding of object-oriented programming and excellent software design skills.
- Good experience of Restful services using Java Springboot
- Strong understanding of database design and SQL (PostgreSQL / MySQL) development
- Good to have knowledge of NoSQL technologies like Redis, MongoDB, Cassandra or any other NoSQL database
- Knowledge of design patterns and good to have experience of large-scale applications
- Should have experience in Apache Kafka, RabbitMQ, SQS or other Queueing systems.
- Experience of working with Amazon Web Services (AWS), Google Cloud Computing (GCP) would be considered as an advantage
- Experience of developing with Serverless Model will be an advantage.





