TalentXO

Role & Responsibilities

• You take end-to-end ownership of infrastructure, design, scale, and operate it. This goes beyond execution. Here's what that looks like day to day:
• Own the design, architecture, and reliability of Locus's cloud infrastructure across AWS, Azure, GCP, and Aliyun, supporting multi-region, global deployments.
• Lead the evolution of our CI/CD ecosystem, optimize and refactor our Jenkins-as-Code setup for scalability, performance, and developer efficiency.
• Drive the Infrastructure as Code (IaC) journey end-to-end, migrate existing cloud resources, alarms, and configurations fully into code with strong versioning, review, and rollback practices.
• Partner with engineering teams to identify and resolve performance, scalability, and reliability bottlenecks, deep dives into memory, CPU, networking, and storage constraints.
• Define and implement monitoring, alerting, and incident response best practices, improve MTTR, system observability, and operational readiness.
• Lead initiatives around cost optimization, security hardening, and capacity planning, keep infrastructure efficient and compliant as the platform scales.
• Act as a technical mentor for junior DevOps engineers and raise the overall DevOps maturity across teams.

Ideal Candidate

• Strong Senior DevOps Engineer Profile
• Mandatory (Experience 1): Must have 5+ years in DevOps / SRE / Infrastructure roles with hands-on experience (clear scale signals like traffic, uptime, latency, infra size should be mentioned)
• Mandatory (Experience 2): Must have B2B SaaS company experience with multi-tenant architecture OR multiple production stacks (multi-env / multi-client systems)
• Mandatory (Tech Skills 1 - Cloud & Infra): AWS (VPC, EKS, EC2, RDS, networking), Kubernetes (EKS) at scale, Designing high availability, multi-region systems
• Mandatory (Tech Skills 2 - Automation & IaC): Terraform (must-have), Helm / GitOps, Strong scripting (Python / Go / Bash)
• Mandatory (Tech Skills 3 - CI/CD & Release): Scalable CI/CD pipelines (GitHub Actions / Jenkins), Zero/low downtime deployments
• Mandatory (Tech Skills 4 - Reliability & Observability): SRE principles (SLOs, SLIs, error budgets), Monitoring tools (Prometheus, Grafana, Datadog), Alerting, on-call, incident management
• Mandatory (Education): BTech in Computer Science or related fields
• Mandatory (Company): Strong B2B SaaS product companies only (good scaled)

Role & Responsibilities

• Own end-to-end data architecture across Medallion layers (Bronze/Silver/Gold) on AWS
• Design atomic star schema data models (fact and dimension tables) across multiple business domains
• Define and implement aggregation and KPI layers aligned to business reporting requirements
• Establish data modelling standards, naming conventions, and design patterns across teams
• Ensure alignment with enterprise data strategy and roadmap
• Translate business processes into scalable and reusable data models
• Write and review SQL, Python, and Spark code for pipelines and transformations
• Build and validate data models in Snowflake or Databricks
• Deliver pipelines using AWS services (S3, Glue, Athena)
• Perform data reconciliation and validation across layers (source → curated → BI)
• Ensure data quality, consistency, and integrity across the pipeline
• Own end-to-end SDLC (requirements → design → build → test → release → operate)
• Lead and unblock data engineers and analysts on day-to-day delivery
• Identify blockers, dependencies, and risks early, and propose solutions
• Align delivery with programme roadmap and milestones
• Track execution using Jira and maintain documentation in Confluence
• Gather and validate requirements across multiple business domains
• Translate business requirements into technical designs and data models
• Communicate architecture decisions clearly to non-technical stakeholders
• Drive cross-team alignment to ensure consistent, reliable, and trusted outputs

Ideal Candidate

• Strong Data Architect Profile (AWS / Medallion Architecture / Analytics Transformation)
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Engineering / Data Architecture with strong exposure to large-scale analytics transformation programmes
• Mandatory (Experience 2) – Strong hands-on experience designing and implementing Medallion Architecture (Bronze / Silver / Gold layers) on AWS-based data platforms
• Mandatory (Experience 3) – Strong hands-on experience with Snowflake or Databricks, including data modelling, performance optimization, transformation pipelines, and scalable data warehouse implementations
• Mandatory (Experience 4) – Must have strong expertise in advanced SQL including complex joins, CTEs, window functions, query optimization, and performance tuning
• Mandatory (Experience 5) – Must have Hands-on development experience with Python and Apache Spark/PySpark for large-scale data transformation and processing pipelines
• Mandatory (Experience 6) – Strong experience working with AWS data services including S3, Glue, Athena, and cloud-native analytics/data lake architectures
• Mandatory (Experience 7) – Strong experience in end-to-end ETL/ELT pipeline development including ingestion, transformation, reconciliation, validation, testing, deployment, and production support
• Mandatory (Experience 8) – Experience working across transaction-heavy enterprise domains such as Finance, Supply Chain, HR, Customer, or Operations datasets
• Mandatory (Note) – Only immediate joiners or candidates who can join within 15 days will be considered
• Preferred (Experience) – Experience working with ERP / enterprise systems such as SAP, Oracle, Salesforce, or similar enterprise platforms
• Preferred (Frameworks) – Familiarity with APQC, SCOR, or enterprise process modelling frameworks is an added advantage

Role & Responsibilities

We are building an AI-powered Artwork Validation Platform that reads global regulatory rules and validates product packaging using LLMs and Retrieval-Augmented Generation (RAG). We are looking for a hands-on AI Engineer with strong expertise in the LangChain ecosystem to design, orchestrate, and optimize intelligent AI workflows.

Key Responsibilities:

• Design and build RAG pipelines for rule-based validation
• Extract structured rules from PDF/XML/web sources using LLMs
• Develop AI workflows using LangChain and LangGraph
• Implement semantic search and embeddings for accurate retrieval
• Use LangSmith for debugging, tracing, and evaluation
• Prototype workflows using LangFlow
• Generate explainable AI outputs for artwork validation
• Optimize prompts and reduce hallucinations

Ideal Candidate

• Strong AI Engineer / LLM Engineer profile with hands-on experience building RAG or LLM applications
• Mandatory (Experience): Must have 3+ years of software engineering experience with atleast 6+ months in AI/ML, NLP, or deploying LLM based application
• Mandatory (LLM & RAG): Must have strong hands-on experience building RAG pipelines, LLM workflows, semantic search, or AI-powered retrieval systems
• Mandatory (LangChain Ecosystem): Must have hands-on experience with LangChain. Experience with LangGraph, LangSmith, and LangFlow is highly important
• Mandatory (Vector DB & Embeddings): Must have worked on embeddings and vector databases like Pinecone, FAISS, Weaviate, ChromaDB, etc.
• Mandatory (Programming): Strong Python skills with experience building AI/NLP pipelines or backend AI workflows
• Mandatory (Data Processing): Must have experience working with unstructured data such as PDFs, HTML, XML, scanned documents, or web data
• Mandatory (Prompt Engineering): Must have good understanding of prompt engineering, hallucination reduction, retrieval accuracy, and LLM evaluation
• Mandatory (Company): Service or product companies acceptable given they have real AI/ML, LLM based experience
• Mandatory (Note): Must be comfortable with a 6-day (3 days in office) hybrid work model. Mon-Friday 8:30-5:30 pm and Saturdays 8:30-1:00 pm
• Preferred (Experience): Exposure to food compliance domain

Role & Responsibilities

We’re looking for an experienced Data Architect to lead enterprise-scale data modernization initiatives leveraging Microsoft Fabric. In this role, you will define the target-state architecture, implement Medallion (Bronze/Silver/Gold) architecture within Fabric Lakehouse, and establish enterprise data governance frameworks. You will also build GenAI-ready data platforms that enable advanced analytics, machine learning, and secure enterprise-wide data access.

Responsibilities:

• Lead enterprise-scale implementation of modern data platforms using Microsoft Fabric
• Design and implement Medallion architecture (Bronze/Silver/Gold)
• Architect scalable Lakehouse, Data Warehouse, and Real-Time Analytics solutions
• Define data modeling standards (Dimensional, Data Vault)
• Establish data governance frameworks including cataloging and lineage
• Build CI/CD pipelines for data platforms
• Design AI/ML and Generative AI-ready architectures
• Build ingestion pipelines (batch, streaming, CDC)
• Enable real-time data processing
• Develop target-state architecture and standards
• Collaborate with cross-functional teams
• Act as a trusted advisor to clients

Ideal Candidate

• Strong Microsoft Fabric / Azure Data Architect profile
• Mandatory (Experience 1) – Must have 8+ years of experience in Data Architecture / Data Engineering, with strong exposure to enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have 3+ years of deep hands-on experience in Microsoft Fabric ecosystem including Fabric Lakehouse, OneLake, and Data Factory, with large-scale implementations
• Mandatory (Experience 3) – Strong expertise in designing and implementing Medallion (Bronze/Silver/Gold) architecture and scalable lakehouse platforms supporting batch and real-time workloads
• Mandatory (Experience 4) – Strong experience in Azure data ecosystem including Azure Data Factory, Azure Synapse, ADLS, and Power BI, with good understanding of cloud-native data architectures
• Mandatory (Experience 5) – Proven experience designing scalable data models including Dimensional Modelling (Star/Snowflake) and/or Data Vault for enterprise data warehouses
• Mandatory (Experience 6) – Must have hands-on experience building ingestion pipelines including batch, streaming, and CDC pipelines using tools like Spark, Kafka, or Fabric pipelines
• Mandatory (Experience 7) – Strong experience in implementing data governance frameworks including data cataloging, lineage, metadata management, and security controls
• Mandatory (Skill 1) – Proven experience in building CI/CD pipelines for data platforms using Azure DevOps / Git, including automated deployment and environment management
• Mandatory (Skill 2) – Hands-on experience designing AI/ML-ready data platforms, enabling advanced analytics, machine learning, and Generative AI use cases
• Mandatory (Skill 3) – Experience with orchestration and workflow tools, and integrating data platforms with BI tools like Power BI for enterprise reporting
• Mandatory (Note) – Only immediate joiners (within 15 days) will be considered
• Preferred (Certification) – Microsoft Fabric / Azure certifications; exposure to MDM, data quality frameworks, and enterprise metadata tools

Role & Responsibilities

We're looking for a Senior Visual Designer to own marketing design end-to-end at across the website, long-form content, brand promotions, events, sales collateral- decks, one pagers, social media, and everything in between — as we scale from 1 to 10. (work with marketers - PMM, FM, CM, GM, video designers and junior designers)

This is not a UX or Product Design role.

• Design systems: Build and evolve a scalable design system across the website, brand and marketing collaterals. Create reusable templates and component libraries that let the team execute at scale
• Website design: Own the end-to-end web design experience — collaborate with marketers, manage developer handoffs, and QA implementations for consistency and quality
• Product illustrations: Develop illustrations, flow diagrams, and guide motion assets (GIFs/animations) that make complex product concepts consumable
• Visual assets:
• Content & SEO: Assets that support organic content and repurposing
• Events: Print-ready collateral like backdrops, brochures, standees, swag
• ABM: Tailored assets for high-intent account-based campaigns.
• Socials and ads: Scroll-stopping creatives built to drive clicks and conversions across different channels
• Sales enablement: One-pagers, decks that help the sales team close
• Team and stakeholder management: You are comfortable working with marketers on different initiatives, managing design freelancers and external developers as needed

Ideal Candidate

• Strong Senior Visual Designer Profile (B2B SaaS / Marketing & Brand Design)
• Mandatory (Experience 1): Must have minimum 5+ years of experience in Visual Design / Brand Design / Marketing Design roles (not UI/UX focused)
• Mandatory (Experience 2): Must have minimum 2+ years of experience in B2B SaaS companies, preferably in startup environments (0→1 and/or 1→100 journey) with exposure to building and scaling brand/design systems
• Mandatory (Experience 3): Must have hands-on experience designing marketing and brand collaterals end-to-end including website assets, social media creatives, sales decks, one-pagers, event collaterals, and campaign creatives
• Mandatory (Skill 1): Strong expertise in typography, layout, color theory, composition, spacing, and visual hierarchy with high attention to detail and strong design taste
• Mandatory (Skill 2): Proven ability to create high-quality brand-led creatives across digital (social, ads, SEO content) and offline (events, print, brochures, swag) channels
• Mandatory (Skill 3): Must have experience in end-to-end website design, including working with marketers and developers, handling handoffs, and ensuring QA for final output
• Mandatory (Skill 5): Ability to create product illustrations, diagrams, and visual storytelling assets (including basic motion/GIFs) to simplify complex concepts
• Mandatory (Skill 6): Strong experience working with cross-functional marketing teams (PMM, content, growth, brand) and managing multiple stakeholders/projects
• Mandatory (Tools): Proficiency in Figma, Adobe Creative Suite (Photoshop, Illustrator, InDesign); basic understanding of motion tools is a plus
• Mandatory (Portfolio): Portfolio must showcase B2B SaaS design work, including marketing collaterals, website design, brand assets, and campaigns.
• Mandatory (Company): Product / B2B SaaS companies

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

Role & Responsibilities

We are seeking a seasoned Solution Architect to design and lead AI infrastructure and private cloud initiatives. This role focuses on building scalable, high-performance environments to support AI/ML workloads, data platforms, and enterprise applications. The ideal candidate will have deep expertise in private cloud architectures, GPU-based computing, and modern data center technologies, along with the ability to align infrastructure strategy with business and AI innovation goals.

Key Responsibilities-

• Architect and design AI-ready infrastructure platforms, including GPU clusters, high-performance computing (HPC), and storage systems
• Define and implement private cloud solutions using technologies such as OpenStack and VMware
• Design scalable environments for AI/ML workloads, including training and inference pipelines
• Collaborate with data scientists, platform engineers, and infrastructure teams to translate AI requirements into infrastructure solutions
• Drive infrastructure modernization initiatives, including containerization and orchestration using Kubernetes
• Ensure high availability, performance, scalability, and security of AI platforms
• Design storage solutions optimized for AI workloads (e.g., distributed file systems, object storage)
• Implement networking architectures for high-throughput, low-latency data transfer
• Define automation strategies using Infrastructure as Code (IaC) and configuration management tools
• Establish governance, standards, and best practices for AI infrastructure and private cloud environments
• Evaluate emerging technologies and recommend solutions aligned with enterprise strategy
• Provide technical leadership and guidance across architecture, design, and implementation phases

Ideal Candidate

• Strong Solution Architect – AI Infrastructure & Private Cloud profiles
• Mandatory (Experience 1) – Must have 8+years of experience in IT infrastructure, cloud, or data center architecture roles
• Mandatory (Experience 2) – Must have strong expertise in private cloud and virtualization (OpenStack, VMware vSphere) along with solid knowledge of Linux, networking, and storage architectures.
• Mandatory (Experience 3) – Must have hands-on experience designing AI/ML infrastructure, including GPU-based systems (e.g., NVIDIA platforms), HPC, and AI-optimized storage
• Mandatory (Experience 4) – Must have strong experience with containerization and orchestration (Docker, Kubernetes) and IaC/automation tools (Terraform, Ansible)
• Mandatory (Experience 5) – Must have experience designing scalable AI/ML environments for training/inference pipelines, with high-throughput, low-latency networking and distributed storage
• Mandatory (Experience 6) – Must have familiarity with hybrid cloud integration (AWS, Azure, or GCP) and proven ability to lead architecture design with strong stakeholder management.
• Mandatory (Skill) – Must have familiarity with hybrid cloud integration involving AWS, Azure, or GCP.
• Preferred (Skill 1) – Certifications in cloud (AWS/Azure/GCP), Kubernetes, or VMware/OpenStack, along with experience in MLOps platforms and AI lifecycle management
• Preferred (Skill 2) – Knowledge of high-performance networking (InfiniBand, RDMA) and exposure to data lake architectures and big data platforms
• Preferred (Skill 3) – Experience in large-scale enterprise or hyperscale environments.

Role & Responsibilities

We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.

The Ideal Candidate Will Be Able To-

• Take ownership of delivering performant, scalable and high quality cloud based software, both frontend and backend side.
• Mentor team members to develop in line with product requirements.
• Collaborate with Senior Architect for design and technology choices for product development roadmap.
• Do code reviews.

Ideal Candidate

• Strong Software Engineer fullstack profile using NodeJS / Python and React
• Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
• Mandatory (Core Skills 1): Must have strong experience in working on Typescript
• Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
• Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
• Mandatory (Company) - Product Companies Only
• Mandatory (Education) - B.Tech or Dual degree (Btech and Mtech or Integrated Msc/MS) from Tier 1 Engineering Institutes. Candidates from other institutions will not be considered unless they come from top-tier product companies
• Mandatory (Note) : This role is a hybrid role (2 days WFO)
• Preferred (Experience): Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
• Preferred (Mentoring): Experience in mentoring, coaching the team.

Role & Responsibilities

• Visual Exploration & Style Definition: Lead creative direction for our multi-brand squad. Experiment with illustration styles to nail the perfect "voice" for each product.
• High-Fidelity UI Design: Pixel-perfect, modern, intuitive interfaces balancing "wow" aesthetics with high-scale functionality.
• Culturally Resonant Craft: Weave Indian vibes into every pixel—vibrant traditions meet modern magic for our diverse audience.
• AI-Accelerated Workflow: Harness AI to prototype fast, freeing you for genius-level thinking.
• 3D & Depth Mastery: Blender/Spline pros—shadows, light, depth for premium, tactile feels.
• Kinetic Storytelling: Team up with eng to make motion feel alive, easing high-stress flows.

Ideal Candidate

• Strong Product Visual/UI Designer Profile with experience across UI, illustration, Motion, 3D Design
• Mandatory (Experience 1): Must have 6+ years of experience in Visual Design / UI Design / Motion Design / Creative Design roles
• Mandatory (Experience 2): Must have worked on consumer-facing digital products/apps/web platforms with high-quality visual experiences (App preferred)
• Mandatory (Skill 1 - Visual Design): Strong expertise in Visual Design fundamentals — typography, layout, color theory, composition, spacing, hierarchy, lighting, shadows, and depth.
• Mandatory (Skill 2 - Motion Design): Must have hands-on experience in Motion Design / Animation including interaction motion, transitions, micro-interactions, and storytelling through motion
• Mandatory (Skill 3 - illustration Design): Must have strong Illustration capabilities across 2D/3D, abstract/literal styles, and brand-led visual systems
• Mandatory (Skill 4 - 3D): Must have strong knowledge of 3D tools such as Blender, Spline, Cinema 4D, or equivalent for creating premium visual assets
• Mandatory (Skill 5 - UI Design): Must be capable of creating pixel-perfect high-fidelity UI designs for mobile products
• Mandatory (Skill 6 - Ai): Must have practical experience using AI tools in design workflows for ideation, prototyping, asset generation, or workflow acceleration while maintaining originality
• Mandatory (Tools): Strong proficiency in Figma, Adobe Creative Suite (After Effects, Illustrator, Photoshop), along with 3D tools
• Mandatory (Portfolio): Portfolio is mandatory and must showcase UI Design, Motion Design, Illustration, and 3D work samples (Variety work is required)
• Mandatory (Company): B2C Digital Products Companies
• Preferred (Education 1): Design education from Tier 1 college
• Preferred (Experience 2): Prior experience building multi-brand visual systems or working across multiple products simultaneously.

Role & Responsibilities

• Design, develop, and test new features in the application.
• Regular communication and collaboration with team members throughoutthe development process.
• Implement,test, and fix bugs in application features.
• Participate in fully agile Scrum deliveries as an active team member.
• Design, build, and maintain efficient and reliable C# and Angular code.

Ideal Candidate

• Strong full stack software engineer profile
• Mandatory (Experience): Must have 3+ years of experience as a Fullstack developer
• Mandatory (Backend): Must have strong backend developement experience in C#, .NET and building RESTful APIs
• Mandatory (Frontend): Must have hands-on frontend development experience in Angular 14+ and TypeScript/JavaScript
• Mandatory (Core Skill): Must have working experience in Elasticsearch/OpenSearch (Non-negotiable)
• Mandatory (DB): Exposure to SQL (Relational DBs)
• Mandatory (Caching): Must have experience in caching mechanisms (in-memory/shared cache) and database scaling techniques like sharding & replication
• Mandatory (Authentication): Familiarity with IdentityServer4 and Git
• Mandatory (Engineering Practices): Must have experience writing unit tests and working in Agile/Scrum environments
• Mandatory (Architecture Exposure): Candidates should have experience working on microservices architectures, event-driven systems, or distributed systems
• Mandatory (Company): Product companies
• Mandatory (Note 2): Please make sure candidate has detailed experience about above skills set in resume
• Preferred (Skill): Familiarity with deployment processes and packaging libraries for NPM