TalentXO

Role & Responsibilities

We are looking for a dynamic, tech-savvy Technical Account Manager who is passionate about emerging technology and dedicated to delivering exceptional customer experiences. As a key member of our global supply team, you will be pivotal in engaging with both prospective and existing clients, particularly with top endemic publisher accounts in the AdTech/Pharma Tech sectors, support the onboarding process, helping customers gain maximum value from our solutions.

• Account management: build and maintain strong, strategic relationships with clients, acting as a trusted technical advisor throughout the onboarding and post-implementation phases
• Onboarding & implementation: support technical onboarding for new clients, managing integrations and ensuring clients are set up for success from day one
• Ongoing client support: act as the primary technical contact for key accounts, troubleshooting issues, and proactively identifying opportunities to drive client satisfaction and retention
• Conduct live demos: present our solutions to prospective clients, emphasizing unique benefits and features, and tailor demos for varying audience levels, with a focus on endemic and top publisher accounts
• Cross-functional collaboration: identify client needs and customise demo experiences for prospective and new clients, ensuring alignment with their goals, particularly with top publisher accounts
• Feedback & reporting: gather insights from client interactions to inform product development. Regularly report on account health, demo success, and product feedback, helping share future enhancement

Ideal Candidate

• Strong Technical Account Manager (Publisher Side) Profile
• Mandatory (Experience 1) – Must have minimum 6+ years of total experience, including 5+ years as a Technical Account Manager in AdTech, Programmatic Advertising, or Digital Media
• Mandatory (Experience 2) – Must have hands-on experience managing end to end top publisher accounts or supply-side relationships; technical onboarding, integrations, troubleshooting, and providing technical assistance to publishers
• Mandatory (Experience 3) – Strong working knowledge of SSPs, programmatic ecosystem, ad-serving workflows, and ability to explain technical concepts clearly to non-technical stakeholders
• Mandatory (Experience 4) – Demonstrated experience conducting live product demos, explaining features/benefits, and tailoring demos for publisher / stakeholders
• Mandatory (Experience 5) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
• Mandatory (Experience 6) – Experience collaborating closely with technical, product, customer success, and sales teams to solve client issues and drive adoption
• Mandatory (Company) – Must come from an AdTech, Programmatic, SSP, Publisher-side, or Digital Media Tech organisation dealing with supply partnerships / publisher ops
• Preferred (Experience) – Must have strong real-time problem solving skills with ability to independently troubleshoot technical issues during onboarding and ongoing publisher support

Role & Responsibilities

This role is a highly specialized business-facing AI team. We deliver professional AI products and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. We look for individuals with strong, unique specializations to improve the overall strength of the team. This role is the right fit for you if you love working with customers, teammates, and fuelling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

Objectives of role:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Mosaic AI research to solve business problems
• Own production rollouts of consumer and internally facing GenAI applications
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
• Required /Proven experience with the following:
• Experience in building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine- tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience in building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline like Computer Science or equivalent practical experience Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience in using the Databricks Intelligence Platform and Apache Spark? to process large-scale distributed datasets
• We require fluency in English and willingness to work across time zones.

Ideal Candidate

• Strong AI/ML Engineer Profile
• Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment
• Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning
• Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts
• Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch
• Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP
• Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders
• Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month
• Mandatory (Note 2) : CTC is inclusive of 10% variable
• Mandatory (Note 3): Candidates should be available to join within May 31st or June first week max
• Preferred (Education): Must hold a graduate degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline or equivalent practical experience
• Preferred (Tools): Hands-on experience with the Databricks and Apache Spark
• Preferred (Pharma/Life Sciences Domain): Good understanding of Pharma Quality Standards and Practices or prior experience in pharmaceutical or life sciences contexts is a meaningful plus.

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

DBS Mintek Pvt Ltd is looking for an experienced and detail-oriented Accounts Manager to oversee end-to-end accounting operations, ensure statutory compliance, and manage financial reporting for our Pune office. The ideal candidate should possess strong hands-on expertise in accounting, taxation, audits, and financial finalization processes.

Key Responsibilities

• Independently manage day-to-day accounting operations.
• Maintain accurate books of accounts using Tally.
• Handle bookkeeping, journal entries, and ledger scrutiny.
• Prepare and finalize Trial Balance, Profit & Loss Account, and Balance Sheet.
• Manage month-end, quarter-end, and year-end closing activities.
• Ensure timely GST filings, reconciliations, and handling of notices.
• Manage TDS deductions, payments, return filings, and reconciliations.
• Oversee direct and indirect tax compliance and return filings.
• Handle PF compliance and other statutory filings.
• Coordinate and manage internal and statutory audits, including audit finalization.
• Prepare MIS reports and financial analysis using Advanced Excel.
• Ensure adherence to accounting standards, statutory regulations, and company policies.
• Liaise with auditors, tax consultants, banks, and internal stakeholders.

Required Skills & Expertise

• Strong hands-on experience in Tally and accounting software.
• Thorough knowledge of bookkeeping, journal entries, and audit finalization.
• Expertise in GST, TDS, tax returns, and statutory compliance.
• Proficiency in preparing P&L, Balance Sheet, and Trial Balance.
• Experience in managing year-end closing processes.
• Advanced Excel skills (Pivot Tables, VLOOKUP/XLOOKUP, complex formulas).
• Strong understanding of Indian taxation laws and accounting standards.
• Excellent analytical, coordination, and communication skills.

Qualifications & Experience

• Bachelor’s or Master’s degree in Commerce / Accounting / Finance.
• CA Inter / CMA Inter or relevant certification preferred.
• 4–8 years of relevant experience, preferably handling accounts independently.

Preferred Attributes

• High level of accuracy and attention to detail.
• Ability to work independently and meet strict deadlines.
• Leadership capability to guide junior accounts staff.
• Strong compliance-driven and ethical approach.

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