Strategy Intern

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.
• 
  

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.

Job Title: Sales Executive (1 Yrs Exp) – Enterprise AI Software Pre-Sales

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Role Overview:

We are seeking a Sales Executive with 1+ years of experience in B2B IT/Tech/AI/AI Solutions sales and pre-sales activities. This is a remote role with company-provided leads. The candidate will be responsible for driving enterprise AI software sales, conducting solution presentations, and collaborating with technical teams to craft client-focused proposals.

Key Responsibilities:

• Drive B2B enterprise pre sales for AI and solutions, managing the end-to-end sales and pre-sales cycle.

• Engage with potential clients (company-provided leads) to understand business pain points and propose AI-driven software solutions.

• Lead pre-sales activities, including product demonstrations, solution presentations, technical discussions, and proof-of-concept (POC) design.

• Collaborate with the AI and technical teams to design custom solutions and respond to RFPs/RFIs.

• Prepare business and technical proposals, pricing models, and solution roadmaps.

• Build and maintain strong relationships with C-level executives and key decision-makers in enterprise accounts.

• Track, manage, and report pipeline and pre-sales activities using CRM tools.

• Meet or exceed monthly and quarterly B2B sales targets.

Requirements:

• 1+ years of experience in B2B IT/Tech/AI/Solution sales and pre-sales.

• Proven track record in solution selling or enterprise-level software sales.

• Solid understanding of AI, Solution development , or cloud-based solutions and their business applications.

• Exceptional presentation, negotiation, and proposal writing skills.

• Experience with consultative and solution-oriented sales for mid to enterprise clients.

• Familiarity with CRM tools (HubSpot, Salesforce, etc.) and sales automation.

• Bachelor’s degree in IT, Business, Engineering, or a related field.

What We Offer:

• Competitive salary + attractive performance incentives.

• Fully remote, flexible work environment.

• Opportunity to work with cutting-edge AI  products.

• Career growth with a fast-scaling AI consultancy.

• Exposure to global B2B enterprise clients . 

About Role

We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.

This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features

Key Responsibilities

• Design, develop, and maintain scalable backend services using Python
• Build APIs and services using FastAPI, Flask, or Django
• Ensure performance, reliability, and scalability of backend systems
• Integrate AI/ML models into production systems (model inference, automation)
• Build and maintain AI pipelines for data processing and inference
• Deploy and manage applications on AWS, with exposure to GCP and Azure
• Implement CI/CD pipelines, containerization, and cloud deployments
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Optimize cloud infrastructure for cost, performance, and reliability
• Collaborate with product, frontend, and AI teams on end-to-end delivery
• Follow best practices for security, monitoring, and logging

Required Qualifications

• 2–4 years of professional experience in Python development
• Strong understanding of backend frameworks: FastAPI, Flask, Django
• Hands-on experience integrating AI/ML systems into applications
• Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
• Exposure to Google Cloud Platform (GCP) and Microsoft Azure
• Experience with Docker and CI/CD workflows
• Understanding of scalable system design principles
• Strong problem-solving and debugging skills
• Ability to work collaboratively in a product-driven environment

Perks and Benefits

• Work in Nikhil Kamath funded startup
• ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
• Opportunity to build long-term wealth through ESOP participation
• Work on production-scale AI systems used in real-world applications
• Hands-on experience with AWS, GCP, and Azure architectures
• Work with a team that values clean engineering, experimentation, and execution
• Exposure to modern backend frameworks, AI pipelines, and DevOps practices
• High autonomy, fast decision-making, and real ownership of features and systems

Pivelabs, an AI-powered SaaS startup for the global digital marketing industry, is seeking a passionate Marketing Specialist. This role involves owning and executing growth initiatives by identifying and scaling alternative acquisition channels to drive awareness, sign-ups, and revenue.

The Marketing Specialist will be responsible for understanding target audiences and implementing marketing strategies across various digital channels.

The ideal candidate will possess 2+ years of digital marketing experience, specifically in cold email outreach, influencer collaborations, directory listings, newsletters and executing partnerships. Experience with paid ads and SEO is also beneficial. This role involves managing and coordinating budgets, planning calendars, assets, materials, and approvals. A strong understanding of marketing principles, coupled with communication skills and a passion for delivering best-in-class digital marketing, is essential.

How will you make an impact?

• Develop and execute outbound marketing campaigns against targeted audiences from execution to campaign analysis.
• Facilitate teams' campaign operations and workflow deadlines, deliverables and processes to ensure successful and on-time campaign execution.
• Support the Marketing team by monitoring KPIs (such as website traffic, top-of-funnel conversions, ad performance, and revenue) and informing on findings
• Perform analysis of key business metrics to evaluate success and growth opportunities

Key Responsibilities - Assisting

• Affiliate & Referral Programs
• Content Collaborations & Partnerships
• Outbound Campaigns
• Email & LinkedIn Outreach
• Community Engagement & Events
• Partnerships (Exploratory/Optional)

What You’ll Bring

• Completed a degree in Marketing, Business, Communications, or a related field.
• 2+ years of experience in growth, marketing operations, or partnerships (startup/SaaS experience preferred).
• Strong execution skills — you can take an idea from draft to live campaign quickly.
• Experience with affiliates, influencer campaigns, or referral marketing.
• Comfort with outbound tools (LinkedIn automation, email outreach, attribution tracking).
• Excellent communication and relationship-building skills.
• Analytical mindset to measure and optimise campaign performance.
• Job Title: Digital Marketing Specialist Intern
• offline/Remote with Compensation: $300 per month

Why Join Us

• Be part of a lean, high-impact team where your work directly fuels growth.
• Full ownership of execution across channels.
• Work on innovative marketing strategies for a fast-growing global SaaS product.
• Opportunity to experiment, learn, and scale what works.

Job Description:

Organization - Prolifics Corporation

Skill - Java developer

Job type - Full time/Permanent

Location - Bangalore/Mumbai

Experience - 5 to 10 Years

Notice Period – Immediate to 30 Days

Required Skillset:

Spring framework concepts, Spring boot(Mandatory)

Spring batch and dashboard

Apache Kafka(Mandatory)

Azure (Mandatory)

GIT / Maven / Griddle / CI/CD

MS SQL database

Cloud and Data Exposure

Docker, Orchestration using Kubernetes

Genesys pure cloud or any cloud-based contact center platform that can be used to manage customer interactions.

Technical Experience:

The candidate should have 5+ years of experience, preferably at technology or financial firm.

Must have at least 2- 3 years of experience in spring batch / java / Kafka / SQL

Must have hands on experience in database tools and technologies.

Must have exposure to CI / CD and Cloud.

Work scope

Build the spring batch framework to pull the required data from Genesys

Cloud to MS reporting data storage – on prem / Cloud.

Build MS WM Contact Center Data Hub (on Prem / Cloud)

Build dashboard to monitor and manage the data injection, fusion jobs.

Event bridge implementation for real time data ingestion and monitoring

MS Private Cloud

Senior Data Engineer

Responsibilities:

●      Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models

●      Drive the implementation of new data management projects and re-structure of the current data architecture

●      Implement complex automated workflows and routines using workflow scheduling tools 

●      Build continuous integration, test-driven development and production deployment frameworks

●      Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards 

●      Anticipate, identify and solve issues concerning data management to improve data quality

●      Design and build reusable components, frameworks and libraries at scale to support machine learning products 

●      Design and implement product features in collaboration with business and Technology stakeholders 

●      Analyze and profile data for the purpose of designing scalable solutions 

●      Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues

●      Mentor and develop other data engineers in adopting best practices 

●      Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

Qualifications:

●      8+ years of experience developing scalable Big Data applications or solutions on distributed platforms

●      Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools

●      Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake

●      Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.

●      Experience with Spark (Scala/Python/Java) and Kafka

●      Work experience with using Databricks (Data Engineering and Delta Lake components) 

●      Experience working with Big Data platforms, including Dataproc, Data Bricks etc

●      Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow

●      Working knowledge of Data warehousing, Data modeling

●      Experience working in Agile and Scrum development process

●      Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area

Role:

Senior Data Engineer

Total No. of Years:

8+ years of relevant experience 

To be onboarded by:

Immediate

Notice Period:

Skills

Mandatory / Desirable

Min years (Project Exp)

Max years (Project Exp)

GCP Exposure 

Mandatory Min 3 to 7

BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark

Mandatory Min 5 to 9

Relational SQL

Mandatory Min 4 to 8

Shell scripting language 

Mandatory Min 4 to 8

Python /scala language 

Mandatory Min 4 to 8

Airflow/Kubeflow workflow scheduling tool 

Mandatory Min 3 to 7

Kubernetes

Desirable 1 to 6

Scala

Mandatory Min 2 to 6

Databricks

Desirable Min 1 to 6

Google Cloud Functions

Mandatory Min 2 to 6

GitHub source control tool 

Mandatory Min 4 to 8

Machine Learning

Desirable 1 to 6

Deep Learning

Desirable Min 1to 6

Data structures and algorithms

Mandatory Min 4 to 8

Role: As a part of the Engineering team, you will be responsible for driving the mobile App development end-to-end. In this role, you will be working to find creative solutions that improve our customer’s experience and brand reputation when facing technical issues on the platform. You will be responsible for tracing and monitoring real-time transactions through various systems end-to-end, displaying key information, and provided with controls necessary to mitigate incidents.

• Minimum 4-5 years experience in developing mobile applications
• Excellent understanding of software design and object-oriented programming principles.
• Minimum experience of 1.5 years on Flutter, 
• Good knowledge about clean code architecture.
• Knowledge on writing Unit test cases
• Hand-on experience in widget building, its lifecycle, and inbuilt widgets provided by flutter.
• Hands-on experience in API integration in flutter.
• Hands-on experience with local storage, shared preferences, session management.
• Knowledge of Flutter performance and optimization
• Knowledge about architectural differences between ios/android and how flutter handles them.
• Good to have knowledge on Financial domain
• Good to have experience in financial industry/Fintech 
• expirience on doing android release