7 System deployment Jobs in India

ABOUT

The Persona Labs is building a new kind of social platform focused on something most social products do not explicitly optimize for: helping people become real friends.

We want to help people discover interesting people around them, find meaningful common ground, start low-pressure interactions, continue promising conversations, create shared experiences, and ultimately build real-life friendships.

DISCOVER → CURIOSITY → COMPATIBILITY → INTERACTION → UNDERSTAND → IRL EXPERIENCE → FRIENDSHIP

THE AI LAYER - COMPANION INTELLIGENCE

Alongside the platform, we are building a proactive personal AI companion that learns about the user and helps them navigate this journey through personalized recommendations, suggestions, reminders, conversations, and experiences. 

THE OPPORTUNITY

We are looking for a Founding ML Engineer to build the intelligence layer of the platform from the ground up. This is a 0→1 Applied AI / ML role where you will work directly with the founder and Product Engineer to turn ambiguous problems around users, relationships, recommendations and personal intelligence into working systems.

You will be expected to:

Understand the problem → identify the signals → design the intelligence system → prototype → evaluate → deploy → learn → improve.

WHAT YOU WILL BUILD & OWN

USER INTELLIGENCE

User representations, behavioural models, interests, preferences, contextual signals, and evolving understanding of the user. MEMORY Short- and long-term memory, episodic/preference/relationship memory, retrieval, relevance and updating.

RECOMMENDATION & MATCHING

People discovery, compatibility, activity/experience recommendations, and personalized ranking.

INTENT & INTEREST

Infer what the user is trying to do and learn what they care about from behaviour, not only declared interests.

RANKING

Decide what should appear first across potentially thousands of relevant people, activities or experiences.

CONTENT INTELLIGENCE

Classification, toxicity, spam, policy signals, quality, relevance, and semantic understanding.

RELATIONSHIP INTELLIGENCE

Reciprocity, interaction health, shared interests, progression, declining engagement and shared activity.

NEXT-BEST-ACTION

Determine the most useful action now: show a person, suggest a question, recommend an activity, reconnect, or do nothing.

TRUST / SAFETY INTELLIGENCE

Fake-account signals, spam, abuse, behavioural anomalies, risky interactions and moderation assistance.

COMPANION INTELLIGENCE

Use signals and outputs to help the companion decide what to say, suggest, recommend or not do. 

WHAT YOUR DAY-TO-DAY LOOKS LIKE

• Translate ambiguous product problems into ML/AI system designs.

• Build models and intelligence pipelines using behavioural, relational and contextual signals.

• Develop recommendation, matching and personalization systems.

• Design memory and retrieval systems that help the companion understand the user over time.

• Build and evaluate LLM-powered and agentic workflows.

• Decide when to use traditional ML, rules, retrieval, ranking or LLMs.

• Prototype quickly, test assumptions and iterate based on real user behaviour.

• Work closely with the founder and Product Engineer to turn intelligence into product experiences.

• Design APIs and production systems that bring ML/AI capabilities into the application.

• Build evaluation, monitoring and feedback loops so the intelligence improves over time.

WHO SHOULD APPLY

• Experience: 0–4 years’ experience, including exceptional fresh graduates. Strong 1–3 year engineers and experienced 3–4 year product builders are welcome.

• Strong foundations in ML, Python, statistics and software engineering.

• Evidence of Building: Experience with AI/ML projects, recommendation systems, LLM applications or personalization is highly valued.

• Strong evidence of building: Shipped projects, research, hackathons, internships, open source or startup work. 

WHAT WE LOOK FOR

MACHINE LEARNING DEPTH

Can you understand the modelling problem underneath the application?

RECOMMENDATION & PERSONALIZATION

Can you reason about relevance, ranking, cold start and behavioural signals?

AI ENGINEERING

Can you turn LLMs and agents into reliable product capabilities rather than simple API wrappers?

USER INTELLIGENCE

Can you design systems that gradually understand a person from sparse and changing signals?

SYSTEMS THINKING

Can you move from a model to a production system with APIs, data, latency, cost and monitoring?

EVALUATION MINDSET

Can you determine whether the intelligence actually helped the user?

PRODUCT JUDGMENT

Can you decide what the system should do when there is no predefined answer?

SPEED OF EXECUTION

Can you move from idea → prototype → evaluation → production quickly and responsibly?

BUILD WITH US

You will join at a stage where many of the answers do not exist yet. You will not simply implement a model someone else selected; you will help decide how the product learns to understand people.

CAREERS:

Apply with your resume, GitHub, portfolio or shipped work.

https://forms.gle/12YpUSBY2Sqs5xjp8

www.thepersonalabs.com

Job Description: Lead - Cloud Engineering (AWS / Azure)

Role Title: Lead - Cloud Engineering

Experience Level: 10+ Years

Domain Focus: Healthcare AI & Cloud Infrastructure

Location: Remote

Job Overview

We are seeking an experienced Lead - Cloud Engineering with over 10 years of IT experience to lead our cloud strategy, architecture, and infrastructure teams. In this role, you will oversee end-to-end cloud deployment, multi-cloud migration, and scalable architecture designed to support cutting-edge Generative AI applications in the healthcare technology domain.

The ideal candidate brings deep technical expertise in both AWS and Azure, strong hands-on capability in cloud infrastructure, and proven leadership experience driving security, compliance, and team growth.

Key Responsibilities

Cloud Architecture & Migration

• Lead the architecture, design, and execution of cloud migrations, deployments, and modernizations across AWS and Azure environments.
• Drive Infrastructure as Code (IaC) standards using Terraform, CloudFormation, or Bicep to ensure scalable, automated infrastructure provisioning.
• Build high-availability, low-latency architectures optimized for data-intensive Generative AI and Machine Learning workloads.

Security & Healthcare Compliance

• Enforce healthcare security standards including HIPAA, HITRUST, SOC 2, and data governance best practices across all cloud assets.
• Implement Zero-Trust security, Identity Access Management (IAM), data encryption key management, and continuous vulnerability monitoring.

Leadership & Team Management

• Manage, mentor, and scale a high-performing team of DevOps, Cloud, and SRE Engineers.
• Drive Agile workflows, sprint planning, incident response frameworks, and SLA compliance.
• Collaborate closely with Data Engineering, AI/ML, and Software Product teams to align infrastructure with business roadmaps.

Operations & FinOps

• Establish cloud cost optimization strategies (FinOps) to manage computing costs associated with AI models and large-scale data processing.
• Manage monitoring, alerting, and telemetry frameworks (e.g., Prometheus, Datadog, CloudWatch) to ensure 99.99% uptime.

Key Requirements

• Experience: 10+ years of overall IT experience with at least 5+ years in a cloud leadership or lead architect role.
• Cloud Platforms: Advanced hands-on expertise with both AWS (e.g., EC2, S3, EKS, Bedrock, SageMaker) and Azure (e.g., AKS, Azure OpenAI, Blob, Virtual Machines).
• DevOps & IaC: Strong background in Terraform, Docker, Kubernetes, CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
• Domain Knowledge: Prior experience building or managing cloud environments within Healthcare, Life Sciences, or HealthTech is strongly preferred.
• AI/ML Familiarity: Experience supporting cloud infrastructure for machine learning pipelines, LLM deployments, or GPU compute management.
• Certifications (Preferred): AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA).

Job Title : Workday Procurement Consultant

Experience : 7+ Years

Location : Remote

Shift : Night Shift

Employment Type : Contract/Full-Time

Mandatory Skills :

Workday Procurement, Supplier Accounts, Requisitions, Purchase Orders, Inventory, Supplier Contracts, Functional Configuration, UAT, Requirement Gathering, Testing, Deployment, and Post-Go-Live Support.

Job Summary :

We are seeking an experienced Workday Procurement Consultant with 7+ years of functional expertise to support the implementation, configuration, and optimization of Workday Procurement solutions. The ideal candidate will collaborate with business stakeholders, procurement teams, and technical teams to deliver scalable and efficient procurement processes within the Workday ecosystem.

Key Responsibilities :

• Lead requirement gathering sessions and functional workshops with business stakeholders.
• Configure and support Workday Procurement modules, including:
• Procurement
• Supplier Accounts
• Requisitions
• Purchase Orders
• Inventory
• Supplier Contracts
• Analyze existing procurement processes and recommend best practices aligned with Workday capabilities.
• Work closely with Finance, Supply Chain, and IT teams to ensure seamless process integration.
• Participate in end-to-end implementation activities, including:
• Requirement Gathering
• Solution Design
• Configuration
• Testing
• Deployment
• Post-Production Support
• Prepare functional specifications and collaborate with technical teams on integrations and reporting requirements.
• Conduct User Acceptance Testing (UAT) and provide end-user training.
• Troubleshoot procurement-related issues and provide effective functional solutions.
• Ensure compliance with organizational procurement policies, controls, and governance standards.

Required Qualifications :

• 7+ years of experience in Workday functional consulting with strong expertise in Workday Procurement.
• Hands-on experience in configuring Procurement, Supplier Accounts, Requisitions, Purchase Orders, Inventory, and Supplier Contracts.
• Strong understanding of procurement and supply chain business processes.
• Experience in full lifecycle Workday implementations and support engagements.
• Ability to create functional design documents and collaborate with integration teams.
• Experience in UAT, training, and post-production support activities.
• Excellent analytical, communication, and stakeholder management skills.

Preferred Skills :

• Experience working with Finance and Supply Chain modules within Workday.
• Knowledge of Workday reporting and integrations.
• Exposure to global procurement processes and best practices.
• Workday certification is preferred.

This role offers an opportunity to work on enterprise-scale Workday implementations in a fully remote setup with night shift support.

Dear Candidate

Looking for Telecom Advance Support Engineer (PSO)

If this opportunity hits you Kindly revert.

Job Description:

3+ years’ experience working as a support engineer / Network Engineer /deployment Engineer/ Solutions Engineer/integration Engineer in the telecom deployment industry. 

■ BE/ B.Sc. in CS, EE, Telecommunications graduate with honors from an elite university – (70%- 90% depending on the colleges. Delhi university a plus).

■ Telecom Knowledge (IMS, 4G) - Mandatory.

■ Linux OS, SQL knowledge – Mandatory. Vertica DB, scripting - a plus.

■ Open stack / Cloud based infrastructure (OpenStack/Kubernetes), knowledge is a plus

■ Be available to work off business hours to address critical matters/situations based on Radcom’s on-call support model

■ Willing to work in evening and night shifts and Weekend.

■ Fluent English – Mandatory

■ Valid passport 

Visible to teammates 

Add private requirements that your team and AI Resume Review will use to evaluate candidates. 

Public: Show on job boards 

■ Based in RADCOM India offices, Delhi, India. 

■ Responsible for all the technical support aspects required by the client for RADCOM’s solutions, including integration, deployment, and customization of applications; and KPI reports for individual customer needs.

■ Support and deployment of Radcom’s solution at cloud-based customer environments (case to case basis)

■ Having very good customer interaction interface and able to drive customer calls independently.

■ Able to drive and deliver internal customer small project - end to end handling along with taking care of all internal required communications.

■ Working closely with the management on customer updates and future plan

■ Daily maintenance and problem resolution, System patches and software upgrades, and routine system configuration

■ Identifies, diagnoses, and resolves issues related to System with good troubleshooting and root cause finding.

■ If required: travel to on-site support outside India, training, installation, and configuration, etc

Thanks & Regards

Shreya Tiwari

Technical Recruiter - HR

RADCOM

We are pleased to inform you that we have multiple job openings available exclusively for local candidates from Morbi or nearby areas.

If you or anyone in your network residing in Morbi is actively seeking a job opportunity, we encourage you to apply or share this information further.

Location: Morbi [Onsite: Only based for local candidate]

1. End User Technical Support

o   Provide hands-on support for desktops, laptops, printers, scanners, biometric/attendance systems, and conference room equipment (projectors, TVs, audio systems, etc.).

o   Assist users in day-to-day operations of Microsoft 365 tools including OneDrive, SharePoint, Outlook, Teams, etc.

o   Guide users on common software installations and resolve application-related issues (PDF tools, browser settings, printer drivers, etc.).

2. System Configuration & Deployment

o   Configure laptops and desktops as per IT policy and defined software baseline.

o   Ensure proper asset tagging and labeling before system handover to users.

o   Join eligible systems to Active Directory based on company policy and user profile.

o   Ensure installation and activation of Antivirus/EDR solutions (e.g., CrowdStrike, Defender, etc.).

3. Hardware & Peripheral Troubleshooting

o   Perform basic hardware diagnosis and troubleshooting (RAM, HDD, cables, display, power, etc.).

o   Perform basic network diagnosis. Do internal coordination with Network team if it is network issue.

o   Coordinate with OEM/vendor for parts replacement under warranty (if applicable).

o   Support for printer maintenance, toner replacement, and troubleshooting printing issues.

4. Helpdesk Ticketing and SLA Compliance

o   Acknowledge and act on tickets assigned via the Helpdesk tool (ManageEngine ServiceDesk Plus or equivalent).

o   Update ticket progress and provide regular feedback to the Helpdesk coordinator and end-user.

o   Ensure timely resolution of all tickets within defined SLA timelines.

o   Escalate unresolved or delayed issues to the next level in the support hierarchy.

5. Asset Management Support

o   Maintain and update asset information related to assigned systems and peripherals.

o   Coordinate with the Helpdesk/Asset team for movement, reallocation, or disposal of IT assets.

o   Support in physical verification, tagging, and reconciliation of IT inventory.

Minimum 2 years of working experience.

Can work on live projects of international clients.

Can handle multiple projects

Error-free coding.

Required Experience, Skills and Qualifications

Objective-C, or increasingly, the Swift 3.0 programming language

Apples Xcode IDE

Frameworks and APIs like Foundation, UIKit, and CocoaTouch

UI and UX design experience

Apple Human Interface Guidelines

2D and 3D graphics frameworks like SpriteKit and SceneKit

OpenGL or Metal, iOS graphics APIs

Familiarity with iOS 10 and newer OS versions

A Git code repository technology

Strong Objective-C skills and inside-and-out knowledge of the iOS SDK.

Experience using and creating scalable web-based Restful APIs.

We have openings for Fullstack / Backend / Frontend Developers who can write reliable, scalable, testable and maintainable code.

At Everest, we innovate at the intersection of design and engineering to produce outstanding products. The work we do is meaningful and challenging - which makes it interesting. Imagine each line of your code, making the world a better place. We work on five workdays weeks, and overtime is a rarity. If clean architecture, TDD, DDD, DevOps, Microservices, Micro-frontends, scalable systems resonate with you, please apply.

To see the quality of our code, you can checkout some of our open source projects: https://github.com/everest-engineering

If you want to know more about our culture:

https://github.com/everest-engineering/manifesto

Some videos that can help:

https://www.youtube.com/watch?v=A7y9RpqXAdA;

https://youtu.be/PPjyP1WPOn8" target="_blank">https://youtu.be/PPjyP1WPOn8

• Passion to own and create amazing product.
• Should be able to clearly understand the customer's problem.
• Should be a collaborative problem solver.
• Should be able a team player.
• Should be open to learn from others and teach others.
• Should be a good problem solver.
• Should be able to take feedback and improve continuously.
• Should commit to inclusion, equity & diversity.
• Should maintain integrity at work

• Familiarity with Agile methodologies and clean code.

• Design and/or contribute to client-side and server-side architecture.

• Well versed with fundamentals of REST.

• Build the front-end of applications through appealing visual design.

• Knowledge of one or more front-end languages and libraries (e.g. HTML / CSS, JavaScript, XML, jQuery, Typescript) JavaScript frameworks (e.g. Angular, React, Redux, Vue.js)

• Knowledge of one or more back-end languages (e.g. C#, Java, Python, Go, Node.js and frameworks like SpringBoot, .NET Core) 

• Well versed with fundamentals of database design.

• Familiarity with databases - RDBMS like MySQL, Postgres & NoSQL like MongoDB, DynamoDB.

• Well versed with one or more cloud platforms like - AWS, Azure, GCP.

• Familiar with Infrastructure as Code - CloudFormation & Terraform & deployment tools like Docker, Kubernetes.

• Familiarity with CI/CD tools like Jenkins, CircleCI, Github Actions..

• Unit testing tools like Junit, Mockito, Chai, Mocha, Jest