Lead AI Engineer WFH

Key Responsibilities:-

• Design, build, and enhance Salesforce applications using Apex, Lightning Web Components (LWC), Visualforce, and SOQL.
• Implement integrations with external systems using REST APIs and event-driven messaging (e.g., Kafka).
• Collaborate with architects and business analysts to translate requirements into scalable, maintainable solutions.
• Establish and follow engineering best practices, including source control (Git), code reviews, branching strategies, CI/CD pipelines, automated testing, and environment management.
• Establish and maintain Azure DevOps-based workflows (repos, pipelines, automated testing) for Salesforce engineering.
• Ensure solutions follow Salesforce security, data modeling, and performance guidelines.
• Participate in Agile ceremonies, providing technical expertise and leadership within sprints and releases.
• Optimize workflows, automations, and data processes across Sales Cloud, Service Cloud, and custom Salesforce apps.
• Provide technical mentoring and knowledge sharing when required.
• Support production environments, troubleshoot issues, and drive root-cause analysis for long-term reliability.
• Stay current on Salesforce platform updates, releases, and new features, recommending adoption where beneficial.

Required Qualifications:-

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 6+ years of Salesforce development experience with strong knowledge of Apex, Lightning Web Components, and Salesforce APIs.
• Proven experience with Salesforce core clouds (Sales Cloud, Service Cloud, or equivalent).
• Strong hands-on experience with API integrations (REST/SOAP) and event-driven architectures (Kafka, Pub/Sub).
• Solid understanding of engineering practices: Git-based source control (Salesforce DX/metadata), branching strategies, CI/CD, automated testing, and deployment management.
• Familiarity with Azure DevOps repositories and pipelines.
• Strong knowledge of Salesforce data modeling, security, and sharing rules.
• Excellent problem-solving skills and ability to collaborate across teams.

Preferred Qualifications:-

• Salesforce Platform Developer II certification (or equivalent advanced credentials).
• Experience with Health Cloud, Financial Services Cloud, or other industry-specific Salesforce products.
• Experience implementing logging, monitoring, and observability within Salesforce and integrated systems.
• Background in Agile/Scrum delivery with strong collaboration skills.
• Prior experience establishing or enforcing engineering standards across Salesforce teams.

female only, presentable

Facebook / instagram / linked posts

Prepare creatives as well,

graphics Knowledge and experience of BRAVO software is must

send emails to clients, promotional mails, prepare flyers, collaterals, to increase the reach of indo nippon among the clients and increase footfall through social media, prepare PPT

Experience - 1-2 years

Salary - 25 - 30K

Timing - 10 - 6 PM Mon to saturday (2nd and 4th saturday -work from home)

SEO & Outreach Specialist

EXPERIENCE : 3 - 5 Years

As we scale our inbound engine, we’re looking for an SEO & Outreach Specialist who can turn great content into discoverable, high-performing assets that drive measurable impact across organic channels.

Role Summary:

We are looking for a technical + content-savvy SEO expert to lead our organic growth initiatives. This role is critical for driving qualified traffic to our website through on-page optimization, outreach, and distribution.

Roles & Responsibilities:

●      Optimize blog content for targeted keywords, internal linking, and schema.

●      Manage Quora, Reddit, and Web 2.0 content distribution to drive referral traffic.

●      Build backlinks through ethical outreach, guest posting, and partnerships.

●      Conduct keyword research to support content planning and campaign SEO.

●      Track and report on rankings, backlinks, domain authority, and traffic impact.

●      Collaborate with content and design teams to implement best SEO practices.

Must have skills:

●      3-5 years of experience in SEO for B2B websites.

●      Must have: Pragmatic SEO & programmatic SEO experience.

●      Hands-on experience with Ahrefs, SEMrush, Google Search Console, etc.

●      Familiarity with link-building strategies, outreach, and community engagement.

●      Good writing/editing sense to tweak content for optimization.

●      Self-starter with a proactive mindset and the ability to work in a fast-paced, high-growth environment.

Good to have skills:

●      Experience in IT services or SaaS domain.

●      Experience with Quora/Reddit or guest post partnerships.

Hiring an Android developer from our IT company Logical Softtech,Indore, M.P.

1) Android developer who has done projects on Android studio or React native or Flutter can apply for the job roles.

2)He should have knowledge in JSON parsing and sdk, plugin, 3rd party integration.

3) Job Location : work from office Indore location only

Devops Engineer

Roles and Responsibilities:

As a DevOps Engineer, you’ll be responsible for ensuring that our products can be seamlessly deployed on infrastructure, whether it is on-prem or on public clouds.

• Create, Manage and Improve CI / CD pipelines to ensure our Platform and Applications can be deployed seamlessly
• Evaluate, Debug, and Integrate our products with various Enterprise systems & applications
• Build metrics, monitoring, logging, configurations, analytics and alerting for performance and security across all endpoints and applications
• Build and manage infrastructure-as-code deployment tooling, solutions, microservices and support services on multiple cloud providers and on-premises
• Ensure reliability, availability and security of our infrastructure and products
• Update our processes and design new processes as needed to optimize performance
• Automate our processes in compliance with our security requirements
• Manage code deployments, fixes, updates, and related processes
• Manage environment where we deploy our product to multiple clouds that we control as well as to client-managed environments
• Work with CI and CD tools, and source control such as GIT and SVN. DevOps Engineer

Skills/Requirements:

• 2+ years of experience in DevOps, SRE or equivalent positions
• Experience working with Infrastructure as Code / Automation tools
• Experience in deploying, analysing, and debugging on multiple environments (AWS, Azure, Private Clouds, Data Centres, etc), Linux/Unix administration, Databases such as MySQL, PostgreSQL, NoSQL, DynamoDB, Cosmos DB, MongoDB, Elasticsearch and Redis (both managed instances as well as self-installed).
• Knowledge of scripting languages such as Python, PowerShell and / or Bash.
• Hands-on experience with the following is a must: Docker, Kubernetes, ELK Stack
• Hands-on experience with at least three of the following- Terraform, AWS Cloud Formation, Jenkins, Wazuh SIEM, Ansible, Ansible Tower ,Puppet ,Chef
• Good troubleshooting skills with the ability to spot issues.
• Strong communication skills and documentation skills.
• Experience with deployments with Fortune 500 or other large Global Enterprise clients is a big plus
• Experience with participating in an ISO27001 certification / renewal cycle is a plus.
• Understanding of Information Security fundamentals and compliance requirements

Work From Home

Start Up Background is preferred

Company Location: Noida

About Us :

• RaRa Now is revolutionizing instant delivery for e-commerce in Indonesia through data-driven logistics.

• RaRa Now is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimization technology. RaRa makes it possible for anyone, anywhere to get same-day delivery in Indonesia. While others are focusing on - one-to-one- deliveries, the company has developed proprietary, real-time batching tech to do - many-to-many- deliveries within a few hours. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan, and many more.

• We are a distributed team with a company headquartered in Singapore, core operations in Indonesia, and a technology team based out of India.

Future of eCommerce Logistics :

• Data-driven logistics company that is bringing in a same-day delivery revolution in Indonesia

• Revolutionizing delivery as an experience

• Empowering D2C Sellers with logistics as the core technology

About the Role :

• Writing scalable, robust, testable, efficient, and easily maintainable code
• Translating software requirements into stable, working, high performance software
• Playing a key role in architectural and design decisions, building toward an efficient microservices distributed architecture.
• Strong knowledge of Go programming language, paradigms, constructs, and idioms
• Knowledge of language patterns such as - Goroutine and Channels
• Experience with the full site of Go frameworks and tools, including :
• Dependency management tools such as Godep.
• Popular Go web frameworks, such as Echo
• Request routing and API mechanisms
• Ability to write clean and effective Godoc comments
• Familiarity with code versioning tools - primarily Git.
• A basic understanding of computing and Linux systems
• Basic knowledge of Systems Engineering
• Memory management and pointers, specifically in Golang
• Implement Docker for smaller-scale applications that require simpler deployments

• Employ Linux Terminal command structures to allow easy back-end operations for less-expert technical staff
• Structure our user interface with React and ensure REST API access is available for enterprise-grade finance customers on-demand

Job Description:

• To resolve the tickets raised as per the defined standards of time, cost, and quality for increased customer satisfaction.

Skills and Experience

• Good SQL & PLSQL knowledge.
• Good Unix basic commands knowledge.
• Good Unix scripting knowledge will be an advantage.
• ANSI SQL
• Unix - Others/
• Experience - Fresher

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology