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SAP PS

Exp: 3yrs relevant in SAP PS

Job Location: Mumbai

Need Immediate Joiner or Max 30 days

- Sap PS Certification Mandatory

- Functional SAP PS Consultant with S / 4 HANA exposure along with SAP SD,FI knowledge,

- Must have end-to-end implementation done.

Key Responsibilities

• Develop and implement a comprehensive L&D strategy aligned with business priorities and growth targets.
•  Act as a strategic advisor to senior leadership on talent development, succession planning, and sales readiness.       
• Promote a culture of continuous learning, high performance, and sales excellence.
• Build and maintain leadership pipelines, addressing critical skill gaps across the organization.
• Integrate market insights, product knowledge, customer-centric strategies, and competitive intelligence into learning journeys.
• Team Development: Build, mentor, and empower high-performing teams that are mission-aligned and impact-driven.

Key Competencies Required:

• Deep expertise in L&D strategy, payroll management, and talent acquisition.
• Ability to structure, monitor, and optimize team performance.
• Strong strategic thinking and ability to align HR initiatives with business objectives.
• Experienced in managing and developing large sales teams, driving capability and performance.

Our Mission

To make video as accessible to machines as text and voice are today.

At lookup, we believe the world's most valuable asset is trapped. Video is everywhere, but it's unsearchable—a black box of insight that no one can open or atleast open affordably. We’re changing that. We're building the search engine for the visual world, so anyone can find or do anything with video just by asking.

Text is queryable. Voice is transcribed. Video, the largest and richest data source of all, is still a black box. A computer can't understand it, and so its value remains trapped.

Our mission at lookup is to fix this.

About the Role

We are looking for founding Backend Engineers to build a highly performant, reliable, and scalable API platform that makes enterprise video knowledge readily available for video search, summarization, and natural‑language Q&A. You will partner closely with our ML team working on vision‑language models to productionize research and deliver fast, trustworthy APIs for customers.

Examples of technical challenges you will work on include: distributed video storage, a unified application framework and data model for indexing large video libraries, low‑latency clip retrieval, vector search at scale, and end‑to‑end build, test, deploy, and observability in cloud environments.

What You’ll Do:

• Design and build robust backend services and APIs (REST, gRPC) for vector search, video summarization, and video Q&A.
• Own API performance and reliability, including low‑latency retrieval, pagination, rate limiting, and backwards‑compatible versioning.
• Design schemas and tune queries in Postgres, and integrate with unstructured storage.
• Implement observability across metrics, logs, and traces. Set error budgets and SLOs.
• Write clear design docs and ship high‑quality, well‑tested code.
• Collaborate with ML engineers to integrate and productionize VLMs and retrieval pipelines.
• Take ownership of architecture from inception to production launch.

Who You Are:

• 3+ years of professional experience in backend development.
• Proven experience building and scaling polished WebSocket, gRPC, and REST APIs.
• Exposure to distributed systems and container orchestration (Docker and Kubernetes).
• Hands‑on experience with AWS.
• Strong knowledge of SQL (Postgres) and NoSQL (e.g., Cassandra), including schema design, query optimization, and scaling.
• Familiarity with our stack is a plus, but not mandatory: Python (FastAPI), Celery, Kafka, Postgres, Redis, Weaviate, React.
• Ability to diagnose complex issues, identify root causes, and implement effective fixes.
• Comfortable working in a fast‑paced startup environment.

Nice to have:

• Hands-on work with LLM agents, vector embeddings, or RAG applications.
• Building video streaming pipelines and storage systems at scale (FFmpeg, RTSP, WebRTC).
• Proficiency with modern frontend frameworks (React, TypeScript, Tailwind CSS) and responsive UI design.

Location & Culture

• Full-time, in-office role in Bangalore (we’re building fast and hands-on).
• Must be comfortable with a high-paced environment and collaboration across PST time zones for our US customers and investors.
• Expect startup speed — daily founder syncs, rapid design-to-prototype cycles, and a culture of deep ownership.

Why You’ll Love This Role

• Work on the frontier of video understanding and real-world AI — products that can redefine trust and automation.
• Build core APIs that make video queryable and power real customer use.
• Own systems end to end: performance, reliability, and developer experience.
• Work closely with founders and collaborate in person in Bangalore.
• Competitive salary with meaningful early equity.

Responsibilities:

• Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
• Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
• Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
• Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
• Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.

Requirements:

• 3+ years of hands-on experience in developing and managing machine learning or data platforms
• Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
• Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
• Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

We are looking for a Director of Engineering to lead one of our key product engineering teams. This role will report directly to the VP of Engineering and will be responsible for successful execution of the company's business mission through development of cutting-edge software products and solutions.

• As an owner of the product you will be required to plan and execute the product road map and provide technical leadership to the engineering team.
• You will have to collaborate with Product Management and Implementation teams and build a commercially successful product.
• You will be responsible to recruit & lead a team of highly skilled software engineers and provide strong hands on engineering leadership.
• Requirement deep technical knowledge in Software Product Engineering using Amazon Web Services,Java 8 Java/J2EE, Node.js, React.js, fullstack, NosqlDB, mongodb, cassandra, neo4j, elastic search, kibana, elk, kafka, redis, docker, kubernetes, Amazon Web Services ,Architecture Concepts,Design PatternsData Structures & Algorithms,Distributed Computing,Multi-threading,AWS,Docker,Kubernetes, apache, solr, activemq, rabbitmq, spark, scala, sqoop, hbase, hive, websocket, webcrawler, springboot, etc. is a must.

• 16+ years of experience in Software Engineering with at least 5+ years as an engineering leader in a software product company.
• Hands-on technical leadership with proven ability to recruit high performance talent
• High technical credibility - ability to audit technical decisions and push for the best solution to a problem.
• Experience building E2E Application right from backend database to persistent layer.
• Experience UI technologies Angular, react.js, Node.js or fullstack environment will be preferred.
• Experience with NoSQL technologies (MongoDB, Cassandra, Neo4j, Dynamodb, etc.)
• Elastic Search, Kibana, ELK, Logstash.
• Experience in developing Enterprise Software using Agile Methodology.
• Good understanding of Kafka, Redis, ActiveMQ, RabbitMQ, Solr etc.
• SaaS cloud-based platform exposure.
• Experience on Docker, Kubernetes etc.
• Ownership E2E design development and also quality enterprise product/application deliverable exposure
• A track record of setting and achieving high standards
• Strong understanding of modern technology architecture
• Key Programming Skills: Java, J2EE with cutting edge technologies
• Excellent team building, mentoring and coaching skills are a must-have

• Interacting with channel partners and their major end customers to solicit inputs for devising a product and price strategy to meet end user requirements
• Reviewing performance of channel partners – off take and order flow for ensuring achievement of monthly zonal targets
• Monitoring achievement of targets
• Implementing the sales strategy for the sale of product(s) in a specified area to increase turnover
• Monitoring achievement of sales targets for each CSC within the area
• Monitoring achievement of collection targets to reduce exposure to outstanding receivables
• Monitoring competitor activities in terms of their MOP, products, market share and production capacity for respective areas
• Interacting with quality/ R&D department for new product development basis customer feedback and competitor product portfolio
• Coordinating with CSC, production and dispatch teams for meeting customer order requirements within agreed timelines
• Ensuring timely payment and debt free transactions along with reconciliation of accounts
• Ensuring timely "C" Form submission and payout of performance incentives committed to channel partners

What you need to have:

• Prior experience in Channel Sales and Modern Trade 
• Experience in Paper / Packaging / Publishing Industry preferred
•  

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.