What you’ll do? Work closely with the Director of Technology, the Head of IT and Head of Development, to understand and implement the applications features and objectives Work with the Development team to implement best-practices in web-application development Work with the Development team to implement best-practices in web-application deployment practices, both with and without containers (Docker and Kubernetes) Be actively researching existing solutions in the market, to ensure The Company’s products are cutting edge and comparable to other solutions at all times Be a proficient and cutting-edge frontend developer with curiosity about all the different available frameworks (Vue, React, Svelte, etc) so that The Company’s applications can take advantage of the best features of each solution Requirements Skills required 4+ years as a production front-end developer using React and Vue (at least 1 year in each) 2+ years as a senior developer and roles as a solution architect 2+ years working experience in the following areas: Deployment of web applications to AWS ReactJS VueJS TypeScript Containerization with Docker and Kubernetes 2+ years working with any off-the-shelf CMS, such as PayloadCMS, Drupal, Laravel, Wagtail, etc. Working experience in a fast-paced startup-style development environment Must have excellent communication and interpersonal skills
Hands-on experience in Python with 2-4yrs experience in backend web development with Django. Exceptions can be made if you’re really good at any other language with experience in building web/app-based tech products Hands-on experience with frontend codebases using HTML, CSS,JavaScript with knowledge of any frontend framework (Preferably Vue or React) Excellent command over Data Structures and Algorithms with experience in software engineering and product delivery Working knowledge of MongoDB, Redis, MySQL Familiarity with building robust and scalable REST API endpoints. Experience with web technologies like Linux, Apache, Memcache, Redis Familiarity with AWS services having experience with EC2, ELB, AutoScaling, CloudFront, S3, RDS, SNS etc Good understanding of Data Structures, Algorithms, and Operating Systems Good communication and peer networking skills. Strong problem solving and analytical skills Proven ability to author clean, standards-compliant code Self-motivated and detail oriented with the ability to work independently Ability to thrive in a fluid and fast paced environment
Key Responsibilities: Performance Marketing Strategy & Execution Build, manage, and optimize paid campaigns on each marketplace platform to drive sales, visibility, and profitability. Define and monitor platform-specific KPIs (ACOS, ROAS, CTR, Conversion Rate, etc.). Develop tailored performance strategies by platform and product category. Platform Management Liaise with platform category managers and internal teams to align on promotions, product placements, and marketing activations. Manage AMS (Amazon Marketing Services), Myntra Ads, Zepto&Blinkit sponsored listings, and equivalent ad platforms. Monitor platform trends and algorithm changes; adapt strategies accordingly. Budgeting & ROI Optimization Plan and allocate monthly campaign budgets by platform and ensure optimal utilization. Analyse performance data to reduce customer acquisition costs (CAC) and improve return on ad spend (ROAS). Drive contribution margin improvements across all marketplace sales. Reporting & Analysis Create detailed performance dashboards and reports across all marketplaces. Track daily spends, impressions, and conversions; identify high-performing campaigns and areas for improvement. Deliver actionable insights to product, creative, and sales teams. Cross-Functional Collaboration Work closely with the Creative and Content team for platform-specific ad creatives. Coordinate with Supply Chain and Account Management to ensure stock availability for promoted SKUs. Align with the Brand and Pricing team to ensure consistency in positioning and offers. Ideal Candidate Profile: 3-5 years’ experience with Amazon performance marketing 0-2 years’ experience with Quick Commerce performance marketing Prior experience managing performance marketing for a Beauty brand is a bonus Strong understanding of ecommerce metrics and consumer funnels. Proficiency in data analytics tools (Excel, Google Sheets, etc.). Ability to thrive in a fast-paced, growth-driven environment. Excellent communication, negotiation, and organizational skills.
Description About the Role : Were hiring an engineer who blends large-language-model know-how, data-platform chops, and product sense. You will architect the AI stack from ingestion pipelines through model deployment, standup a credit-aware inference platform, and integrate language models into both customer-facing features and internal tools. Key Responsibilities Own the AI roadmap translate business priorities into model, data, and infrastructure milestones. Build data & ML infrastructure design data lake, feature store, vector search (pgvector), model registry, and CI/CD for ML. Develop and deploy models train or fine-tune models the domain data; serve them behind low-latency, cost-controlled APIs. Ensure quality, cost, and compliance set up automated evaluation, token-spend monitoring, and GDPR-safe data flows. Skills And Qualifications 6 to 10 years in back-end or full-stack engineering with at least one Gen-AI product or workflow in production. Strong in Java and fluent in Python or Node for ML tooling. Practical experience with LLMs, embeddings, vector search, and retrieval-augmented generation. Deep familiarity with AWS or GCP services, container orchestration, CI/CD, and monitoring. Comfortable setting up data models and MLOps processes (model registry, drift alerts, blue-green model deploys). Proven leadership in code reviews, technical mentoring, and cross-functional communication (ref:hirist.tech)