Senior 3D Artist

Role : Analyst -Accounts Payable

We're searching for an Accounts Payable professional to serve as a proactive financial strategist, optimizing the Procure-to-Pay (P2P) cycle and safeguarding our financial health through precision and process innovation.

Your Responsibilities

You are the proactive financial backbone of our business, ensuring our financial operations thrive within a secure and compliant framework. Your role is about actively shaping our future by identifying and neutralizing financial risks. Here’s how you'll make your mark:

Financial Operations & Management

• Oversee global invoice processing (PO and non-PO), ensuring timely and accurate entry into financial systems.
• Prepare and execute vendor payments, managing a high volume of transactions with precision.
• Conduct regular vendor, credit card, and inter-company reconciliations, promptly resolving discrepancies.

Compliance & Risk Mitigation

• Maintain a strong understanding of direct and indirect taxes, including GST, TDS, and VAT, as well as other relevant global tax regulations.
• Assist in internal and external audits by providing necessary documentation and explanations.
• Manage the provision and prepaid processes, ensuring proper accounting treatment and reporting.

Process Improvement & Automation

• Actively participate in the P2P cycle, identifying opportunities for efficiency gains.
• Champion and implement system and process automation to streamline workflows and enhance productivity.

Functional Skills



• Global Financial Operations: Expert ability to manage high-volume global invoice processing and vendor payments with precision.
• Reconciliation & Reporting: Mastery in performing financial reconciliations and preparing accurate financial reports.
• Tax & Compliance Mastery: A strong understanding of global tax regulations, including GST, TDS, and VAT.
• Process Optimization & Automation: Proven track record of identifying and implementing process improvements and system automation to enhance efficiency.
• Analytical Problem-Solving: A strong ability to identify and resolve discrepancies promptly using analytical and problem-solving skills.

Tech Superpowers

• Financial Software & ERP Fluency: Proficiency in financial software and ERP systems.
• AP Automation Acumen: Experience with automated accounts payable systems and workflows.
• Data-Driven Decisioning: The ability to leverage data to inform financial reports and drive process improvements.

Experience & Relevance

• Accounts Payable Leadership: Proven experience in a high-volume Accounts Payable role.
• Global Expertise: Strong background in global invoice processing and compliance.
• Financial Knowledge: Comprehensive knowledge of the P2P cycle and accounting principles.

Bonus Points (you'll thrive if you have)

• Entrepreneurial Mindset: High ownership and bias for action; sees financial challenges as opportunities for impact.
• Process-First Focus: Relentlessly focused on improving workflows and ensuring financial operations are efficient and scalable.
• "0 to 1" Action Over Deliberation: Instrumental in building or scaling new financial processes; defaults to solve and deliver tangible outcomes over just documenting.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional. As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better. We build alongside our clients. Not for the vanity metrics. But for the transformation to embed lasting competitive advantage for our clients.

The result? Modern business reinvention, built on math, tech, and clarity of purpose

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

• Strong WordPress fullstack developer (frontend focused) Profile
• Mandatory (Experience 1): Must have 4+ YOE as a WordPress fullstack developement (80% Frontend, 20% backend)
• Mandatory (Experience 2): Must have 3+ YOE as a WordPress frontend developement using HTML, CSS, Javascript
• Mandatory (Experience 3): Must have 6 month+ experience in WordPress backend developement using php
• Mandatory (Skills 1): Strong knowledge of version control (Git) and collaborative code workflows
• Mandatory (Skills 2): Must have good communication skill

Preferred

• Preferred (Skills 1): Good knowledge of front-end frameworks/libraries (React, Angular, or Vue.js)

Hiring for Salesforce CPQ Architect

Location: Remote (Contract Position)

Experience: 8–10 Years

About the Role:

We are seeking an experienced Salesforce CPQ Lead to guide CPQ solution design, configuration, and implementation across multiple client projects. The ideal candidate will have deep technical and functional expertise in Salesforce CPQ, strong leadership skills, and hands-on experience in managing end-to-end CPQ delivery in enterprise environments.

Key Responsibilities:

Lead design and implementation of Salesforce CPQ solutions aligning with business needs and best practices.

Conduct requirement workshops with business stakeholders to gather, analyze, and translate needs into scalable CPQ configurations.

Design data models, pricing rules, product configurations, approval workflows, and guided selling processes.

Manage end-to-end release cycles: from design, development, testing, and deployment to post-go-live support.

Collaborate with developers, architects, QA teams, and integration specialists to ensure smooth solution delivery.

Optimize performance and maintain system integrity through best practice configuration and technical oversight.

Provide mentorship and guidance to the CPQ project team and serve as a subject matter expert.

Required Skills & Qualifications:

7–10 years of total Salesforce experience, with at least 4–5 years in CPQ-specific projects.

Proven expertise in Salesforce CPQ (Configure-Price-Quote), including product rules, pricing, discounting, quote templates, and renewal/amendment processes.

Experience leading requirement discovery sessions, solution design, and technical documentation.

Strong understanding of Salesforce Sales Cloud, Service Cloud, and integration patterns.

Hands-on experience with Apex, Lightning Components, and Salesforce automation tools (Flow, Process Builder, Validation Rules).

CPQ Specialist or Advanced Specialist certification preferred.

Excellent communication and client engagement skills in remote environments.

Nice to Have:

Experience with Salesforce Billing or Revenue Cloud.

Exposure to multi-org or multi-country project implementations.

Knowledge of Agile delivery methodologies.

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#SalesforceCPQ

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#SalesforceSalesCloud

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#ServiceCloud

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#integrationpatterns

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#Apex

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#Lightning

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#Components

#HiringAlert

We are looking "Software Engineer" for Reputed Client @ Permanent Role.

• Experience: 2 - 4 yrs

Skills :

Primary Skills

•2+ years of experience in Web API, C#.Net, OOPS and Entity framework

•Minimum 1+ years of experience on Web Application development HTML, CSS, JavaScript/JQuery, Entity framework and Linq Queries

•Must have a good exposure on query writing and DB management for writing stored procedures/ user-defined functions

Secondary Skills

•Experience in analysing existing code and debugging.

•Should have a solid understanding of the SDLC processes (Design, Construction, Testing, Deployment)

•Proven experience of delivering on-time and with quality

•Should have good unit testing skills to review his own development and identify all the defects and get it fixed before releasing the code

Desired Skills

•Should have experience in developing ERP applications or Database Intensive Data Entry applications.

•Been on a same role for a period of 2 years or more

•Hands on experience of configuration management and version maintenance

•Prior experience of working in the shipping domain

•Should be able to understand the Functional Specifications and Technical Specifications and develop the application as per the specification provided.

•Full stack developers with experience in Developing products with Angular and C# APIs, from ground-up will be a plus.

Location : Bangalore

Technical Experience :

- Net development work experience

- Proficiency in NET Development with Asp.net and MVC.

- Strong object-oriented programming OOPS design skills, SOLID principles and proficiency in software design patterns

- Experience in database MS SQL Server.

- Experience with version control systems GitHub and Bitbucket

Professional Attributes :

1. Should have good communication Skills

2. Should be a good team player

3. Should be able to work independently and under pressure

4. Should have good logical and analytical thinking

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral