Sr.Salesforce service cloud developer

Location: Bangalore

Experience: 3–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most AI products fail not because they lack capability, but because they don’t deliver repeatable outcomes at scale.

We are building a platform where AI agents don’t just respond — they execute workflows reliably across enterprises.

This role exists to ensure:

• We can deploy across multiple Tier-1 customers without breaking
• We can measure outcomes, not activity
• We become impossible to replace at renewal

What you’ll do

You will not manage a backlog.

You will own the product as a system that drives business outcomes.

1. Build the workflow execution platform (v2)

• Ship a platform that supports 3+ concurrent Tier-1 deployments without custom forks
• Eliminate one-off implementations — move toward configurable, reusable systems
• Ensure the product works across real enterprise environments, not ideal ones

2. Own outcome tracking and monetization layer

• Design instrumentation to track:
• Business outcomes (conversion, recovery, resolution)
• Not just interactions or usage
• Enable hybrid pricing models (Stage 2) across multiple accounts
• Ensure every deployment can prove ROI clearly

3. Convert customer reality into product roadmap

• Work directly with insurers like:
• SBI Life Insurance, HDFC Life, ICICI Prudential Life Insurance
• Translate:
• Feedback
• Failure modes
• Operational friction
• into clear product priorities
• Build features that make the platform 2x harder to rip out at renewal

4. Create new AI-native product segments

• Identify workflows that were not possible before AI
• Build entirely new categories of automation and execution
• Go beyond efficiency — enable new revenue or capability layers

5. Drive cost reduction and operational efficiency

• Reduce dependency on:
• Support teams
• Manual intervention
• Move toward self-serve, reliable execution
• Target: support dependency → near zero

6. Improve activation and time-to-value

• Reduce deployment/activation time to 7–21 days
• Work closely with deployment teams to remove friction
• Ensure customers see value within weeks, not months

7. Own customer experience of the product

• Ensure live customers:
• Are satisfied
• See consistent performance
• Track and improve:
• Reliability
• Latency
• Outcome success rates

What success looks like

• Platform supports multiple Tier-1 deployments without breaking
• Outcome tracking is clear, trusted, and monetizable
• Customers can prove ROI within weeks
• Product becomes deeply embedded and hard to replace
• Activation happens in ≤ 21 days
• Support dependency drops significantly

Who you are

• You have 3-5 years of product management experience
• You have built systems, not just features
• You are comfortable working in:
• Ambiguous environments
• Customer-facing contexts
• You think in:
• Outcomes
• Trade-offs
• Systems design

What will make you stand out

• Experience building enterprise SaaS or AI platforms
• Strong understanding of:
• Workflow systems
• Integrations
• Operational constraints
• Have worked closely with customers to shape product direction
• Have built products that are used daily in production environments

Why join

• You will define how AI actually works in enterprises
• Your work directly impacts:
• Revenue
• Retention
• Product defensibility
• You will build a platform that moves from demos → real execution

What this role is not

• Not a backlog manager
• Not a feature prioritizer in isolation
• Not disconnected from customers

What this role is

• A system builder
• A translator of customer reality into product truth
• A driver of outcome-based product thinking

One question to self-evaluate

Can you build a product that works across multiple enterprise customers without breaking — and proves its value every single day?

Role: AI/ ML Engineering

Experience: 3 to 5 yrs

Work location: Hyderabad

Interview mode: Virtual

Notice period: Immediate Joiner

Key Responsibilities:

·        Design and implement RAG pipelines and AI agentic systems using cutting-edge LLM frameworks.

·        Fine-tune open-source LLMs and develop narrow, domain-specific models.

·        Build and maintain ML pipelines using MLFlow and ensure reproducibility, auditability, and version control.

·        Collaborate with cross-functional teams to deploy ML systems into scalable, secure, and production-ready environments.

·        Containerize and serve models using Docker, Kubernetes, and FastAPI.

·        Automate CI/CD workflows using Azure DevOps, with integrated monitoring and alerts.

·        Integrate authentication and authorization flows using Azure AD and Microsoft Graph API.

·        Optimize deployed models for latency, cost-efficiency, and operational maintainability.

Required Skills & Experience:

·        Strong foundation in Computer Science, software architecture, and distributed systems.

·        Proficiency in Python, including both object-oriented and functional programming paradigms.

·        Hands-on experience with open-source LLMs, embedding models, and vector databases.

·        Practical implementation of RAG pipelines and LLM agentic systems.

·        Strong working knowledge of MLOps tooling (e.g., MLFlow), model versioning, and reproducible experiments.

·        Experience deploying ML systems using Docker, Kubernetes, and FastAPI or equivalent frameworks.

·        Proven experience working in Azure cloud ecosystem:

·        Azure DevOps for build/release automation.

·        Azure GraphAPI for accessing organizational data.

·        Secure identity flows using Azure AD.

🚀 Hiring: E-Commerce Executive (Senior/Junior)

📍 Location: Chandigarh | 🕒 Experience: 3–5 Years | 💼 Full-time, Permanent

We’re looking for an enthusiastic E-Commerce Executive to manage and scale our online sales across leading e-commerce marketplaces like Amazon, Flipkart, FirstCry, BigBasket, Grofers, Nykaa, Purplle, Myntra and more.

🔍 Key Responsibilities

• Manage online sales operations across multiple e-commerce portals.
• Handle cataloguing, listings (A+, variations), order processing and account health.
• Develop strategies for sales growth, visibility, combos & discount planning.
• Coordinate with logistics & warehouses for smooth stock availability.
• Work closely with category managers & marketplace agencies for product visibility.
• Analyze data to forecast demand and avoid stockouts.
• Drive 360° operational efficiency from listings to dispatch.

🎯 Requirements

• Graduate/Postgraduate (any discipline).
• 3–5 years of experience in e-commerce sales management.
• Strong knowledge of cataloguing, account health & portal operations.
• Excellent communication & problem-solving skills.

🌟 Perks & Benefits

• Paid time off & sick leave
• Leave encashment
• Provident Fund
• Fixed Day Shift (Work From Office – Chandigarh)

A) Skills Required

Essential Skills (Two top

skills)

3 possible combinations.

1. Candidate having expertise in both ElasticSearch and Kafka, preferably.

OR

2. Candidate having expertise in ElasticSearch and willing to learn Kafka.

OR

3. Candidate having expertise in Kafka and willing to learn ElasticSearch.

B) Other Information

Educational Qualifications Graduate

Experience Mid-Level (6+ years)

Minimum Qualifications:

ElasticSearch/OpenSearch

· Software Lifecycle/programing skills

· Linux

· Python

· Ingestion tools (logstash, OpenSearch Ingestion, Fluentd, fluentbit, Harness,

CloudFormation, container, images, ECS, lambda).

· SQL query

· Json

· AWS knowledge

Kafka/MSK

· Linux

· In-depth understanding of Kafka broker configurations, zookeepers, and

connectors

· Understand Kafka topic design and creation.

· Good knowledge in replication and high availability for Kafka system

· Good understanding of producers and consumer group

· Understanding Kafka partitions and scaling up

· Kafka latency/lag and throughput

· Integrating Kafka connect with various data sources can be internal or external.

· Kafka security using SSL/Certs

Key roles:

·       Develop backend application with clean code practices foe the application

·       Collaborate with frontend developers to integrate user-facing elements with server side logic

·       Troubleshoot and debug application

·       Gather and address technical and design requirements

·       Build reusable code and libraries for future user-facing

·       Communicate with other third-party team for collaborations

Skillset:

·       Core Java - Hands on experience with Jdk 11 and above

·       Experience with code hosting and collaboration tools like Bitbucket/Github/GitLab

·       Microservice architecture - Rest API calls, inter-service exception handling

·       Non-relational DB - MongoDB basic DB commands to insert, update, delete, find records and Indexing

·       Springboot framework - Spring Data JPA, ORM

·       Event driven architecture - Kafka

·       Tools like Postman, Jenkins, Doppler, IDE, MongoDB atlas

Qualifications:

·       UG: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization, BCA in Any Specialization

·       PG: Any Postgraduate

• 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
• Strong industry expertise with containerization technologies including kubernetes, docker-compose
• 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• Experience with scripting languages. Python experience highly desirable.
• 2+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Demonstrated expertise of building cloud native applications
• Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
• Experience in API development using Swagger
• Strong expertise with containerization technologies including kubernetes, docker-compose
• Experience with cloud platform services such as AWS, Azure or GCP.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

• Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
• Assist in dev ops operations
• Develop data ingestion processes and ETLs
• Design and Implement APIs
• Assist in dev ops operations
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

GaragePlug Inc

GaragePlug is one of the fastest-growing Automotive tech startups working towards revolutionising the automotive aftermarket industry with strong state-of-the-art technologies.

Position: Backend Developer (Java Spring Boot)

As we plan to grow, we have many challenges to solve. Some of the new features and products that are already in the pipeline include advanced analytics, search, reporting etc., to name a few. Our present backend is based on the microservices architecture built using Spring Boot. With growing complexity, we are open to using other tools and technologies as needed.

We are looking for a talented and motivated engineer to join our fleet and help us solve real-world problems in this exciting field. Join us and share the dream of building the next generation online platform for the Auto industry.

Experience: 1+ years of experience

What you'll do :

• End to end systems development
• Ownership of complete systems from development to production and maintenance
• Infrastructure management on AWS
• Technologies you'll use :
• Microservices, AWS, Java, Spring-boot
• Nginx
• PostgreSQL, Redis
• ElasticSearch
• Gradle / Maven
• Any cool piece of technology that you can bring onboard.
•  

What you are :

• You love technology and are always open to learning new tools
• You are a self-starter
• You are proficient in Java, SQL
• You have good knowledge of Databases: RDBMS/Document
• You have worked with server technologies: Spring / Dropwizard / Tomcat/Spring Boot
• You have a good understanding of REST API design
• You believe in clean and maintainable code

Location Fully Remote / Bangalore

Apply through this link
 https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2" target="_blank">https://garageplug.freshteam.com/jobs/H-qGPrivc4pt/backend-engineer-2

• Identify bad code practices in PHP and write new rules to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in PHP.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with PHP best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.