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About Searce

Searce (pronounced 'search') is a global, AI-native, and engineering-led modern technology consultancy. Founded in 2004 with a vision to "solve for better," we partner with organizations to "futurify" their businesses by leveraging the full power of Cloud, AI, and Data Engineering.

With a presence across 10+ countries—including the US, India, Singapore, and Australia—Searce has evolved over two decades into a trusted technology partner for over 3,000 clients. We are not just a service provider; we are a group of "solvers-at-heart" who thrive on complex technical challenges.

Why Join the "Solvers" Brigade?

• Award-Winning Excellence: In 2026, Searce was recognized as the Google Cloud Workplace AI Transformation Partner of the Year (APAC). We are a Premier Google Cloud Partner and a top-tier Managed Services Provider (MSP).
• AI-First Mindset: We specialize in Applied AI (Generative & Conventional), Cloud Modernization, and Location Intelligence, helping industries from FinServ and Healthcare to Retail and Manufacturing reinvent themselves.
• The "Futurify" DNA: We don't just maintain; we improve. We use our proprietary EVLOS business innovation framework to ensure our clients aren't just moving to the cloud, but are staying ahead of the curve.
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Our Culture: The HAPPIER Values

We look for individuals who live and breathe our HAPPIER values:

• Humble: We learn from everyone.
• Adaptable: We embrace change as the only constant.
• Positive: We focus on solutions, not just problems.
• Passionate: We are obsessed with engineering excellence.
• Innovative: We challenge the status quo.
• Excellence: We deliver impactful, futuristic outcomes.
• Responsible: We take ownership of our work and its impact.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 5+ years of experience in Azure cloud infrastructure, with a significant portion in cloud managed services. Hands-on experience in Kubernetes is mandatory.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

We are seeking a skilled and detail-oriented AutoCAD Designer to join our team. The ideal candidate will be responsible for creating accurate technical drawings, layouts, and plans using AutoCAD software to support engineering, architectural, and construction projects. You will work closely with engineers, architects, and project managers to understand design requirements and convert concepts into precise 2D and 3D drawings.

Key responsibilities include preparing and revising drawings based on specifications, site measurements, and client inputs; ensuring compliance with industry standards, codes, and company guidelines; and maintaining organized documentation of design files. The AutoCAD Designer will also assist in design modifications, error corrections, and updates throughout the project lifecycle.

The candidate should have a strong understanding of drafting standards, scale, dimensions, and technical symbols. Proficiency in AutoCAD software, attention to detail, and the ability to meet deadlines are essential. Experience in fields such as civil, mechanical, electrical, or architectural drafting is an added advantage.

Strong communication skills and the ability to collaborate effectively with cross-functional teams are required. This role offers an opportunity to contribute to high-quality projects while continuously enhancing technical and design skills.

Job Title :Communication Trainer

Skills :1.Verbal and Non verbal communication

2.Active Listening

3.Presentation and Public speaking skills

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

• Performs implementation of high level design and specifications.
• Develops low level design, class diagrams, flow charts.
• Performs Unit testing of individually developed components and fix errors, if any
• Assist in preparation of design, technical reference & operational documentation, packaging document in collaboration with the Lead.
• Strives for technology innovation in terms of exploring new and efficient ways of writing code
• Is responsible for writing simple, reusable code by following coding standards
• Ensure proper documentation of implementation and reviews.
• Ensure timely follow ups and escalations with leads with respect to any process gaps/risks/impediments.

• Overall 3+  years of software development experience in building web-based and highly scalable applications. 

• Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc. 

• Deep knowledge and development expertise in React Native/ReactJS 

• Hands-on coding experience in developing multi platform (iOS & Android) mobile applications with REST APIs.

• Experience working as a Full stack developer is a big plus.

• Experience in building single page applications or Javascript heavy front end applications in ReactJS is a big plus.

• Experience working in cloud environments with CI/CD and infrastructure automation is a big plus.

• Experience working in an agile team with software engineering practices like automated testing, test-driven-development, continuous integration, etc is a big plus. 

• Strong oral and written communication.

• While working in a team environment, develop PowerApp applications to design document specifications.
• Provide estimates on a required effort to complete design documents.
• Anticipate risks and issues early and coming up with solutions.
• Keeping up to date with the latest trends and certifications while understanding how these relate to the services the company offers.

• Microsoft Dynamics CRM Development experience, with at least 1-year PowerApp development experience
• PowerApps, Power Automate, REST API integration, Azure Functions, Integrations with Dataverse.
• An IT software development background with a minimum of 3 years of Software development experience
• Knowledge of SDLC and Agile methodologies
• Ability to provide technical advice and proven technical expertise in developing and building fit-for-purpose solutions.

We are looking for an experienced and result-driven Digital Marketing Executive to join our awesome marketing team! As a Digital Marketing Executive at our company, you will be responsible for setting up, implementing, and managing the overall company's digital marketing strategy.

Digital marketing strategies are extremely important for our company's success, so your role will play a crucial role in achieving our business goals and objectives.

We are expecting you to have experience and a big passion for digital technologies and all digital marketing channels.
Digital Marketing Executive duties and responsibilities

• Build, plan and implement the overall digital marketing strategy
• Manage the strategy
• Manage and train the rest of the team
• Stay up to date with the latest technology and best practices
• Manage all digital marketing channels
• Measure ROI and KPIs
• Prepare and manage a digital marketing budget
• Oversee all the company's social media accounts
• Manage and improve online content, considering SEO and Google Analytics
• Build an inbound marketing plan
• Forecast sales performance trends
• Motivate the digital marketing team to achieve goals
• Monitor competition and provide suggestions for improvement

Digital Marketing Executive requirements

• 3-5 years of experience as a Digital Marketing Executive
• 3-5 years of experience in developing and implementing digital marketing strategies
• Good knowledge of all different digital marketing channels
• Good knowledge and experience with online marketing tools and best practices
• 3-5 years of hands-on experience with SEO/SEM, Google Analytics and CRM software
• Familiarity with web design
• Sense of ownership and pride in your performance and its impact on a company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• BSc degree in Marketing, Digital technologies or relevant field