362 Microsoft Windows Azure Jobs in India

We are looking for a talented .NET Software Engineer to join our growing team and help us build smart, scalable technology solutions that streamline and automate complex business operations. In this role, you’ll work in a collaborative, agile environment where continuous improvement, ownership, and innovation are part of our everyday culture.

If you enjoy solving real business challenges through clean architecture and high-quality code, this is an opportunity to make a direct impact on the performance and efficiency of the systems our clients rely on. Join us and help shape the technology behind smarter, better-optimized workflows.

What You’ll Be Doing:

• Develop, integrate, and test complex enterprise-level applications that support critical business processes.
• Collaborate with developers, architects, and product teams to refine requirements and translate them into scalable technical solutions.
• Troubleshoot and enhance system architecture, identifying and resolving performance or reliability bottlenecks.
• Implement and advocate for best practices in coding standards, system design, testing, security, and maintainability.
• Review code and pull requests to ensure alignment with specifications and overall product quality.
• Participate in agile ceremonies, manage deliverables, and consistently meet development timelines.

What We’re Looking For:

• Proven proficiency in C#/.NET and experience building enterprise applications.
• Strong hands-on experience with MySQL, SQL databases, and advanced querying techniques.
• Familiarity with Angular or other modern front-end frameworks (nice to have).
• Solid understanding of version control, CI/CD pipelines, automated testing, and agile development tools such as Git and Jira.
• Experience working with finance or accounting systems is a strong advantage.
• Ability to write clean, maintainable, and well-documented code with a focus on performance and scalability.
• Strong written and verbal communication skills in English (upper-intermediate level or higher).
• A proactive, resourceful, and solution-oriented mindset — someone who takes ownership and delivers results.
• A degree in Computer Science, Software Engineering, or a related field is a plus.

Role Overview

• Role: Senior DevOps / CloudOps Engineer
• Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
• Environment: Scale-Up product ecosystem demanding Startup Agility

Key Responsibilities

• Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
• IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
• CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
• Container Orchestration: Manage Docker containers and Kubernetes clusters ensuring seamless micro-services orchestration, zero-downtime rollouts, and failover resilience.
• Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
• Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability

Required Skills & Qualifications

• Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
• Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
• Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
• Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
• Scripting & Automation: Good scripting fundamentals in Python, Bash
• Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.

JOB DESCRIPTION

Position: Full-Stack Developer + DevOps Engineer

Department: Customer Support

Location:Chennai

Employment Type: Full-Time

Experience: Min 5 years of experience

Job Summary

We are looking for a hands-on Full-Stack Developer with DevOps experience who can build, deploy, maintain, and scale web applications. The ideal candidate should have strong experience in React, Python, cloud infrastructure, CI/CD pipelines, and application deployment. The candidate will be responsible for developing frontend and backend applications while ensuring reliable deployments, infrastructure management, and production performance.

Key Responsibilities

1. Full-Stack Development

* Develop responsive and scalable web applications using React.

* Build and maintain backend services, APIs, and business logic using Python.

* Integrate frontend applications with backend services and databases.

* Write clean, reusable, maintainable, and well-tested code.

* Debug application issues and improve performance and security.

2. DevOps and Cloud Infrastructure

* Manage and maintain cloud infrastructure using AWS and/or Microsoft Azure.

* Build, configure, and maintain CI/CD pipelines for automated testing and deployment.

* Automate application builds, releases, and deployment workflows.

* Manage server environments, application hosting, monitoring, and logging.

* Troubleshoot production issues and ensure application availability and reliability.

* Implement infrastructure automation and deployment best practices.

3. Collaboration and Ownership

* Collaborate with engineering, product, and QA teams.

* Participate in code reviews, technical discussions, and release planning.

* Identify opportunities to improve development workflows and deployment efficiency.

* Take ownership of application development, infrastructure, and production support.

Required Skills

·       Strong hands-on experience with React.

·       Proficiency in Python and backend development.

·       Experience building and integrating REST APIs.

·       Practical experience with AWS and/or Microsoft Azure.

·       Hands-on experience configuring and managing CI/CD pipelines.

·       Understanding of cloud deployments, servers, networking, and application monitoring.

·       Familiarity with Git, version control, and collaborative development workflows.

·       Strong debugging, troubleshooting, and problem-solving skills.

Good to Have

·       Experience with Docker and Kubernetes.

·       Infrastructure as Code tools such as Terraform.

·       Experience with databases such as PostgreSQL.

·       Knowledge of Linux, scripting, security, and cloud cost optimization.

·       Experience with automated testing and production monitoring.

Immediate-Joiner Only

We are looking for a Dedicated Candidate for the following role –

Role: .NET Tech Lead

Experience: 7+ Years

Location: Hybrid (Noida)

Duration: 6 Months

Required Skills:

Experience with React.

Strong knowledge of system design, scalable solutions, and application architecture.

Hands-on experience with SQL databases.

Expertise in .NET Core and backend development.

Solution Architect experience is preferred.

Experience with Azure DevOps and CI/CD pipelines.

Our Story

At The Alter Office, we build what comes next. We operate as an internal innovation lab, creating stealth products, new business bets, and high-leverage systems designed to unlock disproportionate value for us and our partner company ITW Consulting.

Our work is not centered around being a conventional service partner. Instead, we focus on building products and platforms that solve complex, strategic problems and create long-term advantage. Where needed, we have stepped in on critical opportunities beyond the usual scope, especially when speed, product thinking, and execution depth mattered most.

About the Role

We are building a holistic AdTech platform that delivers premium value to both advertisers and publishers, and the backend is where that entire ecosystem actually runs - the ad marketplace, campaign creation, ad-serving decisioning, analytics collection, attribution, and ROAS measurement.

Concretely, that means large-scale architecture: the ad-serving systems that make real-time decisioning calls at volume, the scalable data platforms that ingest and process billions of events a day, the analytics platforms that turn that data into attribution and ROAS numbers advertisers and publishers trust, and the autonomous AI agents we're building to automate campaign optimization and decisioning across the platform.

We are looking for someone who is eager to learn, enjoys solving technical problems, and wants to grow beyond simply implementing tasks. You'll have opportunities to understand how backend systems connect to the product and gradually take ownership of larger parts of the platform.

Key Responsibilities

• Build and maintain backend APIs and services for our ad marketplace, campaign management, and analytics platforms.
• Work with senior engineers to design and implement scalable backend solutions.
• Develop RESTful APIs and asynchronous backend workflows.
• Work with SQL databases such as MySQL and PostgreSQL and NoSQL technologies such as MongoDB and Redis.
• Implement data models, database queries, caching, and basic performance optimizations.
• Contribute to backend infrastructure supporting analytics, attribution, and AI-powered platform features.
• Collaborate with product, frontend, backend, and DevOps teams to deliver end-to-end features.
• Implement authentication, authorization, and basic security practices under the guidance of senior engineers.
• Write clean, maintainable, documented, and tested code.
• Use Git and participate in code reviews and team development practices.
• Learn and contribute to deploying backend services on cloud platforms such as AWS, GCP, or Azure.
• Work with Docker for containerizing backend services.
• Contribute to CI/CD pipelines and development workflows.
• Help monitor, debug, and troubleshoot backend services in development and production environments.
• Explore event-driven and distributed architectures using technologies such as message brokers, WebSockets, or GraphQL where appropriate.

Requirements

• 1–2 years of professional backend engineering experience, including relevant internship or project experience.
• Proficiency in at least one backend language, with the ability and willingness to adapt to other languages such as Node.js/JavaScript, Go, Python, and Java.
• Good understanding of RESTful API design and backend fundamentals.
• Good understanding of asynchronous programming and how backend services communicate.
• Familiarity with relational databases such as MySQL or PostgreSQL.
• Familiarity with at least one NoSQL database such as MongoDB or Redis is a plus.
• Good understanding of data modeling and writing SQL queries.
• Familiarity with Git and software development workflows.
• Good understanding of Docker and containerized applications.
• Exposure to cloud platforms such as AWS, GCP, or Azure is a plus.
• Understanding of basic backend security concepts such as authentication, authorization, and secure API practices.
• Strong problem-solving and debugging skills.
• Good communication and willingness to collaborate with other engineers and product teams.
• Strong learning mindset and willingness to work with unfamiliar technologies.
• Comfortable working in a fast-paced environment with evolving priorities.

5 steps, and we tell you where you stand at each one.

Online Assessment : Evaluate coding skills, backend fundamentals, SQL, problem-solving, and technical understanding.

Technical Interview 1 : Discuss previous projects, backend experience, APIs, databases, system design, and production experience.

Take-Home Assessment : A practical backend assignment to evaluate code quality, architecture, scalability, testing, and ability to build a production-ready solution.

Technical Interview 2 : Deep dive into the take-home assignment, system design, technical decisions, scalability, debugging, cloud, and architecture.

HR Interview : Discuss communication, ownership, culture fit, career goals, compensation, availability, and overall expectations.

Senior CloudOps Engineer – Microsoft Azure

Technology: Microsoft Azure | Cloud Operations | Governance | FinOps

Experience: 6+ Years

Location: Remote – Trivandrum

Employment Type: Contract-to-Hire (C2H)

Work Mode: Remote

Job Description

We are looking for a Senior CloudOps Engineer with strong hands-on Microsoft Azure experience to manage cloud operations, platform reliability, security governance, and cost optimization. The role focuses on production operations, governance enforcement, security, and ensuring reliable and cost-efficient cloud infrastructure.

Key Responsibilities

• Own Azure platform reliability, availability, and operational readiness.
• Lead incident management, root cause analysis, and remediation activities.
• Implement Azure governance using Azure Policy, RBAC, PIM, naming conventions, and tagging standards.
• Drive FinOps initiatives, including resource rightsizing, reservations, savings plans, and cost optimization.
• Manage Azure Kubernetes Service (AKS), focusing on scaling, resource utilization, and operational boundaries.
• Maintain operational runbooks, SOPs, and change management processes.
• Manage Azure subscriptions, management groups, networking, identity, and access controls.
• Identify and remediate governance gaps, excessive permissions, and configuration drift.

Must-Have Skills

• 6+ years of hands-on Microsoft Azure experience with production operations ownership.
• Strong expertise in Azure infrastructure, networking, subscriptions, and management groups.
• Experience with Azure governance, Azure Policy, RBAC, and identity/access management.
• Working knowledge of Infrastructure as Code (Terraform, ARM templates, or Bicep).
• Experience in incident management, root cause analysis, and operational remediation.
• Understanding of Azure cost optimization and FinOps practices.
• Ability to enforce security, governance, and operational standards.

Good-to-Have Skills

• Hands-on experience with Azure Kubernetes Service (AKS).
• Experience establishing CloudOps processes and governance frameworks.
• Exposure to Azure Cost Management, reservations, and savings plans.
• Experience with ITIL-based IT service management.

Mandatory Certifications

Candidates must have at least 2–3 relevant certifications from the following list:

• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Microsoft Certified: Azure Administrator Associate (AZ-104)
• Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-140)
• Microsoft Certified: Azure Fundamentals (AZ-900)
• Preferred: ITIL 4 Foundation

Important Note

This is a Cloud Operations-focused role, not a DevOps enablement or application development position. Candidates must demonstrate strong operational ownership, governance enforcement, security awareness, and cost accountability.

.

Position Summary

We are seeking a Mid-Level .NET Developer to design, develop, and support enterprise

applications. The ideal candidate has strong experience with .NET, SQL Server, REST APIs, and

Azure, and enjoys building scalable, high-quality software in a collaborative Agile environment.

Responsibilities

 Design, develop, test, and maintain .NET applications and RESTful APIs.

 Develop and optimize SQL Server databases, stored procedures, and queries.

 Troubleshoot and resolve application issues while ensuring high performance.

 Collaborate with business analysts, QA, and cross-functional teams.

 Participate in code reviews and follow secure coding and development best practices.

 Support Azure-hosted applications and CI/CD deployment processes.

Qualifications

 4–7 years of hands-on experience with C#, .NET Core/.NET, ASP.NET, and Web APIs.

 Strong experience with SQL Server and T-SQL.

 Experience with Azure services and Azure DevOps.

 Proficiency with Git, REST APIs, and object-oriented design principles.

 Experience working in Agile/Scrum environments.

 Strong analytical, communication, and problem-solving skills.

Preferred Skills

 Experience with microservices, Azure Functions, Docker, or Kubernetes.

 Familiarity with React, Angular, or Blazor is a plus.

Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Position Summary

We are seeking a hands-on Mid-Level Azure Cloud Engineer to manage, maintain, and optimize

our Microsoft Azure environment. The ideal candidate has strong experience across Azure

infrastructure, networking, security, identity, automation, and cloud operations, and can

independently support day-to-day cloud administration and deployments.

Responsibilities

 Manage and maintain Azure infrastructure, including virtual networks, virtual machines,

storage, Azure SQL, App Services, Key Vault, and Azure Functions.

 Administer Microsoft Entra ID (Azure AD), RBAC, Conditional Access, and

identity/security policies.

 Monitor cloud health, performance, costs, and security using Azure Monitor, Log

Analytics, and Microsoft Defender.

 Implement and maintain Infrastructure as Code (Terraform, Bicep, or ARM templates).

 Support CI/CD pipelines using Azure DevOps and Git.

 Configure backups, disaster recovery, high availability, and business continuity solutions.

 Troubleshoot Azure networking, application, and infrastructure issues.

 Work closely with development, security, and infrastructure teams to ensure reliable

cloud operations.

Qualifications

 4–7 years of Azure cloud engineering experience.

 Strong hands-on experience with Azure networking, compute, storage, App Services,

Azure SQL, Key Vault, and Azure Monitor.

 Experience with Microsoft Entra ID (Azure AD), RBAC, MFA, Conditional Access, and

identity management.

 Experience with Azure DevOps, Git, CI/CD, PowerShell, and Infrastructure as Code

(Terraform, Bicep, or ARM).

 Knowledge of cloud security, governance, backup, disaster recovery, and cost

optimization.

 Strong troubleshooting, documentation, and communication skills.

 Experience supporting production cloud environments in an enterprise setting.

Preferred Skills

 Experience with Kubernetes (AKS), Docker, Azure API Management, Azure Front Door,

and Microsoft Defender for Cloud.

 Azure Administrator (AZ-104) or Azure Solutions Architect (AZ-305) certification

preferred.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.

Job Description:

About the Role

Euphoric Thought Technologies is looking for a skilled Python Developer with Azure experience to join our growing engineering team. The ideal candidate should have strong hands-on experience in Python development, cloud-native application development on Microsoft Azure, REST APIs, and modern software engineering practices. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable applications for enterprise clients.

Key Responsibilities

• Design, develop, test, and maintain Python-based applications and microservices.
• Build and integrate RESTful APIs and backend services.
• Develop and deploy applications using Microsoft Azure cloud services.
• Implement scalable, secure, and high-performance cloud solutions.
• Work with Azure App Services, Azure Functions, Azure Storage, Azure SQL, and Azure Key Vault.
• Collaborate with frontend developers, DevOps engineers, QA teams, and business stakeholders.
• Write clean, reusable, and well-documented code following coding standards.
• Optimize application performance and troubleshoot production issues.
• Participate in code reviews and contribute to technical discussions.
• Support CI/CD implementation and deployment automation.

Required Skills

• 3–5 years of hands-on experience in Python development.
• Strong knowledge of Python frameworks such as FastAPI, Flask, or Django.
• Experience with Microsoft Azure cloud services.
• Good understanding of REST APIs and microservices architecture.
• Experience with Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, and Azure Key Vault.
• Good knowledge of SQL databases such as SQL Server or PostgreSQL.
• Familiarity with Git version control.
• Experience with Docker and containerization.
• Understanding of CI/CD pipelines using Azure DevOps or GitHub Actions.
• Knowledge of software design principles and object-oriented programming.
• Strong debugging, analytical, and problem-solving skills.

Preferred Skills

• Experience with Kubernetes (AKS).
• Exposure to messaging services such as Azure Service Bus or Event Hub.
• Knowledge of Redis or caching mechanisms.
• Experience with monitoring tools such as Azure Monitor or Application Insights.
• Understanding of Agile/Scrum development methodologies.

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Company Overview:

Euphoric Thought Technologies is a technology services firm specializing in digital transformation and data-driven solutions. We partner with global enterprises to modernize their infrastructure, streamline complex workflows, and leverage cloud-native architectures to drive operational efficiency. Our culture is built on technical excellence, collaborative problem-solving, and a commitment to delivering scalable software solutions that solve real-world business challenges across the finance, retail, and logistics sectors.

Role Overview:

As a Python Developer with Azure expertise, you will be responsible for designing, developing, and maintaining robust data pipelines and cloud-based applications. You will work closely with cross-functional engineering teams and data architects to translate business requirements into high-performance technical solutions. Your work will directly influence the scalability and reliability of our client’s cloud infrastructure, ensuring seamless data integration and optimized performance in a high-stakes production environment.

Key Responsibilities:

- Architect and implement scalable Python-based applications to automate data processing tasks and enhance system functionality.

- Design and deploy end-to-end data pipelines using Azure Data Factory to ensure efficient data movement and transformation for internal stakeholders.

- Optimize cloud infrastructure performance by monitoring resource utilization and implementing cost-effective configuration changes within the Azure ecosystem.

- Collaborate with engineering leads to troubleshoot complex technical issues, ensuring minimal downtime and high availability for critical business applications.

- Document technical specifications and system architectures to facilitate knowledge sharing and long-term maintainability of codebases.

Required Skillset:

- Demonstrated proficiency in developing production-grade applications using Python, with a strong grasp of data structures and algorithms.

- Hands-on experience in configuring and managing cloud services within the Azure environment, specifically focusing on cloud computing best practices.

- Proven ability to build and orchestrate complex data workflows using Azure Data Factory to support large-scale data integration projects.

- Strong analytical mindset with the ability to communicate technical concepts clearly to both technical and non-technical team members.

- Capability to work effectively in an on-site environment in Greater Noida, maintaining high productivity and collaboration within an agile team structure.

- A minimum of 3 to 5 years of 

Technical Skills

● Strong in React / Angular / Vue.

● Required skills: state management, responsive UI design, component-based architecture.

● Strong in at least one backend stack such as Java (Spring Boot) / .NET / Python.

● Experience with REST APIs / GraphQL and authentication / authorization.

● Strong in PostgreSQL / MySQL / SQL Server.

● Knowledge of NoSQL such as MongoDB / Redis is a plus.

● Understanding of microservices / modular monolith, API-first design, and event-driven systems at a basic level.

● Familiar with Git, CI/CD pipelines, and Docker.

● Cloud technology exposure in Microsoft Azure / AWS.

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

8-12 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.

• Bachelor’s degree in computer science, Information Technology, or related field.

• Strong proficiency in PySpark, Python, SQL.

• Strong experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with performance tuning of data pipelines and workflow

• Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.

• Experience with data modeling, ETL processes, Delta Lake and data warehousing.

• Experience on Delta Live Tables, Autoloader & Unity Catalog.

Preferred - Knowledge of the insurance industry and its data requirements.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

• Excellent communication and problem-solving skills to work effectively with diverse teams

• Excellent problem-solving skills and ability to work under tight deadlines. 

Solid product experience and an educational background from Tier‑1 universities are preferred.

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata’s AI capabilities. 

In this role, you will: 

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. 
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. 
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. 
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns. 
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). 
• Use AI powered engineering tools to improve development quality, speed, and productivity. 
• Mentor engineers, supporting them in technical planning, implementation, and best practices. 
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. 
• Write unit and integration tests and participate in code reviews to uphold engineering excellence. 
• Investigate production issues, ensuring timely and effective solutions. 
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies. 

Who You’ll Work With 

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction. 

What Makes You a Qualified Candidate 

(Nonnegotiable qualifications) 

• Bachelor’s degree in Computer Science or equivalent from a recognized institution. 
• 5+ years of experience in backend services, distributed systems, or data platform development. 
• Strong proficiency in Java, Go, or Python for service development. 
• Good understanding of design principles, distributed system patterns, and service framework. 
• Hands-on experience designing and developing RESTful APIs. 
• Experience with SQL and NoSQL databases and data modelling. 
• Strong debugging, problem solving, and troubleshooting skills. 
• Experience with modern containerization and orchestration tools such as Kubernetes. 
• Knowledge of public cloud platforms. 
• Experience with AI productivity tools (e.g., GitHub Copilot). 
• Ability to work independently, drive workstreams, and deliver high quality outcomes. 
• Strong communication and collaboration skills. 

What You’ll Bring 

(Preferred qualifications) 

• Familiarity with messaging systems such as Kafka. 
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. 
• A track record of influencing design decisions and driving engineering best practices. 
• The ability to mentor engineers and guide them through design, planning, and execution. 
• A proactive mindset and comfort working in fast paced, dynamic environments. 
• Curiosity, adaptability, and a passion for building impactful AI-driven products. 

Key Responsibilities

Azure Infrastructure: Deploy, configure, and manage Azure IaaS and PaaS services, including Virtual Machines, Virtual Networks, Network Security Groups, Azure Firewall, VPN/ExpressRoute gateways, storage, App Services, and Azure SQL.

Azure Landing Zones: Implement and maintain landing zones aligned with the Microsoft Cloud Adoption Framework, including management groups, subscriptions, RBAC, Azure Policy, and resource tagging.

Cloud Migration: Execute on-premises-to-Azure migrations using Azure Migrate, Azure Site Recovery (ASR), and database migration tools.

Identity and Access Management: Manage Microsoft Entra ID integrations, Entra Connect, Conditional Access, Privileged Identity Management (PIM), and managed identities.

Backup and Disaster Recovery: Configure and manage Azure Backup, Azure Site Recovery, monitoring, and disaster recovery solutions.

L2 Support and Incident Management: Resolve infrastructure incidents and service requests within agreed SLAs, perform root-cause analysis, and escalate complex issues to L3 teams with detailed diagnostics.

Cloud Security: Apply security baselines using Microsoft Defender for Cloud and implement secure-score recommendations.

Automation and Infrastructure as Code: Automate routine tasks using PowerShell and Azure CLI, and work with ARM templates, Bicep, or Terraform.

Cost Optimization: Monitor Azure consumption, optimize resource utilization, and prepare monthly cloud usage and cost reports.

Technical Documentation: Prepare low-level designs, operational runbooks, as-built documentation, and project handover documents.

Presales Support: Assist with effort estimation, technical solution inputs, and proof-of-concept implementations.

Required Skills and Qualifications

3–5 years of hands-on experience in Microsoft Azure infrastructure.

At least 2 years of experience in customer-facing consulting or managed services environments.

Strong working knowledge of Azure networking, compute, storage, and identity services.

Practical experience delivering at least one end-to-end Azure migration or landing zone deployment.

Good understanding of Windows Server, Active Directory, DNS, and DHCP.

Hands-on scripting experience with PowerShell.

Working knowledge of Bicep, ARM templates, or Terraform.

Familiarity with ITIL processes and ticketing tools such as ServiceNow, Jira Service Management, Freshservice, or similar platforms.

Strong written and verbal English communication skills, with the ability to interact with customer IT teams.

Certifications

Mandatory

Microsoft Certified: Azure Administrator Associate (AZ-104).

Preferred

Microsoft Certified: Azure Solutions Architect Expert (AZ-305).

Microsoft Certified: Azure Security Engineer Associate (AZ-500).

Microsoft Certified: Azure Network Engineer Associate (AZ-700).

Good to Have

Experience with Azure Virtual Desktop deployment and image management.

Exposure to Microsoft Sentinel or Microsoft Defender XDR.

Experience supporting UAE government or semi-government customers.

Arabic language proficiency.

Candidate Requirements

Currently based in the UAE with a valid residence visa, or able to transfer the visa without delay.

Available to join immediately or within 15 days.

A valid UAE driving licence is preferred for customer site visits.

Willing to work at customer premises and support occasional after-hours change windows

Position: Technical Architect – Data Engineering

Job Summary:

• We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
• The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
• The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities

• Design enterprise-scale data lakehouse and data warehouse architectures.

• Define data ingestion, transformation, and serving architecture.

• Lead architecture discussions and technical governance.

• Design scalable ETL/ELT frameworks using Databricks and Snowflake.

• Define best practices for security, performance, CI/CD, and DevOps.

• Guide engineering teams on implementation.

• Collaborate with business, product, and data governance teams.

Must Have Skills :

• Azure or AWS

• Databricks

• Snowflake

• Data Lakehouse Architecture

• PySpark

• SQL

• Data Modelling

• ETL/ELT Architecture

• Performance Optimization

• CI/CD

• Terraform or Infrastructure as Code (preferred)

Preferred

• Insurance domain

• dbt

• Unity Catalog

• Delta Lake

• Iceberg

• Azure Data Factory / AWS Glue  

Technical Lead 

Job Description 

Role Overview 

We are seeking a highly skilled Data Engineering Lead with minimum of 5 years of hands-on experience in Azure data engineering, data warehousing, and automation-driven  integration. The ideal candidate should be a proven technical lead, capable of driving end-to-end 

project delivery and working closely with customer teams. This is a Work from Office / Customer Site role. 

Roles and Responsibilities 

• Lead the design, development, and delivery of data engineering and automation projects. 

• Architect and implement ETL/ELT pipelines using Azure Data Factory. 

• Design and manage enterprise data warehouses including dimensional modeling and 

schema optimization. 

• Manage Azure components including Storage Accounts, Data Lakes, Azure SQL, and Synapse. 

• Drive automation initiatives across data ingestion and transformation workflows. 

• Collaborate with business and technical stakeholders to translate requirements into scalable solutions. 

• Mentor team members and enforce engineering best practices. 

• Serve as the technical anchor responsible for ensuring high-quality, on-time delivery. 

Skills and Qualification 

• Strong hands-on experience with Azure Data Factory, Azure Storage, Azure SQL/Synapse. 

• Deep understanding of data warehousing concepts: star/snowflake schemas, fact/dimension modeling. 

• Experience with automation-led data engineering solutions. 

• Strong troubleshooting, optimization, and analytical skills. 

• Excellent communication and stakeholder management abilities. 

• Proven experience as a Technical Lead leading teams and delivery. 

Must Have 

• Min of 5 years of relevant data engineering experience. 

• Strong Azure Data Engineering and Data Warehousing expertise. 

• Proven Technical Lead experience. 

• Ability to work from office and customer site. 

• Strong ownership mindset with a focus on quality and delivery excellence.

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

Job Details:

We are seeking an experienced Full Stack .NET Developer with Azure to join our dynamic team. The ideal candidate will have a robust background in full stack development with expertise in Azure, React, Node.js, C#, .NET, Python (FastAPI/Flask), Terraform, and CI/CD pipelines. You will play a key role in developing, optimizing, and deploying scalable applications on Azure, ensuring high performance, security, and reliability.

This role will involve collaboration across teams, working on both frontend and backend solutions, and utilizing cloud technologies to drive project success.

Key Responsibilities:

• Design, develop, and maintain full stack applications using Azure, React, Node.js, C#, .NET, and Python (FastAPI/Flask APIs).
• Develop and integrate RESTful APIs using .NET and Python frameworks (FastAPI/Flask).
• Build and manage CI/CD pipelines to streamline deployment and automate testing processes.
• Develop infrastructure as code (IaC) with Terraform to manage and provision resources in the Azure environment.
• Ensure application scalability, security, and performance across all layers of the stack.
• Work closely with cross-functional teams to translate business requirements into technical specifications.
• Troubleshoot, debug, and enhance existing applications to optimize performance.
• Implement best practices for cloud security, data protection, and compliance within Azure services.
• Conduct code reviews and provide technical mentorship to junior developers as needed.

Required Skills & Qualifications:

Experience: 7-10 years of full stack development experience, with a strong focus on Azure cloud.

Frontend:

• Proficient with React.js, building and optimizing web interfaces.

Backend:

• Solid knowledge of Node.js, C#, and .NET for building robust backend applications.
• Hands-on experience in Python development, specifically building APIs using FastAPI and/or Flask.
• Strong understanding of RESTful API design and microservices architecture.

Cloud Infrastructure:

• Experience with Azure services, deployment, and scaling applications on Azure.

Infrastructure as Code (IaC):

• Hands-on experience with Terraform for Azure resource management.

CI/CD:

• Proficient in setting up and maintaining CI/CD pipelines using Azure DevOps or similar tools.

Database:

• Familiarity with Azure SQL, Cosmos DB, or other databases for full stack applications.

Best Practices:

• Strong understanding of software development best practices, including security, testing, and DevOps.

Job Description

We are looking for an experienced Azure Synapse Data Engineer with strong hands-on expertise in Azure data engineering, data warehousing, ETL/ELT, and SQL performance optimization.

Key Responsibilities

• Design, develop, and optimize solutions using Azure Synapse Analytics.
• Build and maintain data integration pipelines using Azure Data Factory (ADF) and Synapse Pipelines.
• Design and implement scalable Azure Data Lake Storage Gen2 (ADLS Gen2) architectures.
• Develop robust and high-performance ETL/ELT frameworks for enterprise data platforms.
• Monitor and troubleshoot large-scale data ingestion, transformation, and processing workloads.
• Identify and resolve performance bottlenecks across data movement and transformation processes.
• Ensure data quality, availability, reliability, and consistency across analytics platforms.
• Perform advanced SQL query analysis and optimization.
• Analyze execution plans and optimize complex analytical workloads.
• Configure and tune Synapse Dedicated SQL Pools.
• Design efficient partitioning strategies for large datasets.
• Optimize indexing, statistics, and workload distribution to improve query performance.

Mandatory Skills

• Azure Synapse Analytics
• Azure Data Factory (ADF)
• Synapse Pipelines
• ADLS Gen2
• ETL/ELT
• Strong SQL
• Synapse Dedicated SQL Pool
• SQL query/execution plan optimization
• Partitioning, indexing, and statistics
• Azure data warehouse / data lake architecture
• Performance tuning and troubleshooting

Ideal Candidate

A strong Azure Data Engineer with hands-on experience in Synapse + ADF + ADLS Gen2 + Advanced SQL + Dedicated SQL Pool performance tuning.

Solution Architect – AZURE Data Engineering

Job Overview

We are looking for an experienced Solution Architect – Data Engineering with strong expertise in designing data solutions and hands-on experience with Azure, Synapse, PySpark, Data Warehousing, and Data Lakes. The ideal candidate should have strong architectural and data engineering knowledge.

Key Responsibilities

• Design and implement scalable data architecture and solutions.
• Develop and manage Data Warehouse and Data Lake architectures.
• Design data platforms using Medallion Architecture.
• Lead Data Engineering and ETL activities.
• Work with Azure Synapse Analytics for data processing and analytics.
• Develop data solutions using PySpark / Apache Spark.
• Define and implement data validation and data quality processes.
• Collaborate with business, data, and technology teams to deliver effective data solutions.

Required Skills

• Strong experience in Solution Architecture / Data Architecture.
• Strong knowledge of Data Warehouse and Data Lake architecture.
• Good understanding of Medallion Architecture.
• Strong experience in Data Engineering and ETL.
• Hands-on experience with Microsoft Azure and Azure Synapse Analytics.
• Strong knowledge of PySpark / Apache Spark.
• Experience with Data Validation and Data Quality.
• Good communication and stakeholder management skills.
• 
  

Experience

8+ Years

About the Role

We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.

This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.

This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.

Responsibilities

• Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
• Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
• Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
• Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
• Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
• Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
• Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
• Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.

Qualifications

• Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
• Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
• Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
• Advanced knowledge of Kubernetes and Terraform in production environments.
• Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
• Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
• Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
• Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
• Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
• Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
• Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
• Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for 

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

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).

What you'll do

Own a client end to end. Learn their business, find what to automate or rebuild, and lead the work that ships it.

Turn business problems into technical solutions sit in the call, understand the real problem, design the fix, and decide how it gets built.

Stay hands-on. You'll still write code, build integrations, and work with APIs every day.

Build on whatever the client runs Zoho, Salesforce, Azure, similar platforms, and custom apps where needed.

Run delivery: scope it, sequence it, ship it, support it. The timeline is yours.

Review code and designs. Mentor the developers on your projects and unblock them fast.

Be the escalation point when something breaks or an integration misbehaves.

Own client communication on the technical side status, tradeoffs, bad news, early.

Keep the bar high: clear docs, clear updates, clear commit history.

What we're looking for

4–7 years shipping software, with real depth in REST APIs and system integrations.

Experience leading projects or small teams — the person others check with before they build.

Strong with business platforms (Zoho, Salesforce, or similar). Much of the leverage lives there, not in custom code.

You can sit with a non-technical client, understand the problem, and come back with a working solution.

Still enjoy building. This is technical leadership, not coordination.

Self-driven. You'll often be the senior-most engineer on the account.

Why you'll love this role

Full ownership from first call to delivery — you run projects, not a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

A step into technical leadership without giving up the hands-on work.

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

Employment Type: Full-time, Contractual

Contract Duration: 3–6 Months

Job Summary

We are looking for a skilled .NET Developer with strong experience in C#, ASP.NET Core,

Web APIs, and modern application development practices. The ideal candidate should have a

solid understanding of .NET fundamentals, dependency injection, middleware, action filters,

model binding, and application architecture.

Key Responsibilities

 Design, develop, and maintain scalable applications using .NET and ASP.NET Core.

 Develop and consume RESTful APIs and microservices.

 Implement Dependency Injection and follow SOLID principles.

 Develop and configure Middleware components for request processing.

 Implement and customize Action Filters for authorization, validation, logging, and

exception handling.

 Work with Model Binding, Validation, and API request/response handling.

 Optimize application performance and troubleshoot production issues.

 Collaborate with cross-functional teams in Agile environments.

 Participate in code reviews and follow coding best practices.

Mandatory Technical Skills

.NET & C#

 Strong knowledge of C# and .NET Framework/.NET Core.

 Good understanding of OOPs concepts and design patterns.

 Hands-on experience with Extension Methods.

 Understanding of Delegates, Events, Lambda Expressions, LINQ, and Async

Programming.

 Knowledge of IDisposable interface and Using Statement.

ASP.NET Core

 ASP.NET Core MVC

 ASP.NET Core Web API

 Dependency Injection (Singleton, Scoped, Transient lifetimes)

 Middleware Pipeline

 Action Filters

 Model Binding

 Authentication & Authorization

 Exception Handling and Logging

Database

 SQL Server

 Stored Procedures

 Query Optimization

 Entity Framework Core

Additional Skills

 REST APIs

 Git

 Azure DevOps / CI-CD

 Unit Testing

Preferred Skills

 Microservices Architecture

 Docker & Kubernetes

 Azure Cloud Services

 Messaging Services (RabbitMQ, Service Bus)

 Clean Architecture / Domain Driven Design

Interview Focus Areas

Candidates should be able to explain and demonstrate:

 Dependency Injection and service lifetimes (Singleton, Scoped, Transient)

 Middleware vs Action Filters

 Model Binding in ASP.NET Core

 Extension Methods

 IDisposable and Using Statement

 ASP.NET Core Request Pipeline

 REST API Design Principles

Job Description:

Job title : Cloud Architect

Experience: 10+ years

Location: Chennai / Pune / Hyderabad / Bangalore

Shift: UK Shift

Work Mode: Onsite(WFO)

Notice Period: Immediate Joiner/ serving notice period only

Project Scope:

This engagement automates end-to-end infrastructure build provisioning across on-prem and Azure. The team will build a shared ServiceNow-led intake, approval, orchestration, and closed-loop status model, using Jenkins/Ansible for on-prem builds and Azure DevOps/Terraform for cloud builds. Automation includes standards, security/compliance controls, scan gates, CMDB/change updates, and handover.    

Roles and Responsibilities:

Define Azure automation architecture, governance, and reusable cloud build patterns.            

Own Azure architecture for automated build provisioning using the ServiceNow-led control plane.

Define approved build patterns, SKUs, landing-zone integration, Terraform standards, Azure DevOps architecture, and guardrails.

Translate security, compliance, resiliency, tagging, cost, and data-residency requirements into automated controls.

Design ServiceNow, rules engine, Azure DevOps, Terraform, Azure Policy, CMDB, and callback integrations.

Review solution designs and assure quality with cloud, security, finance, and platform teams.

Required Skills:

Azure landing zones, networking, RBAC, Key Vault, Azure Policy, Terraform, Azure DevOps, FinOps, ServiceNow APIs.          

10+ years in infrastructure/cloud engineering; 5+ years designing Azure solutions.

Bachelor’s degree or equivalent experience; Azure Solutions Architect certification preferred.

Technical Lead – Embedded Software Application Projects

link: https://www.ziliconcloud.com/careers

ZILICONCLOUD PRIVATE LIMITED is looking for an experienced Technical Lead with 5–8 years of industry experience in Embedded Systems, IoT, AI, Cloud, and Software Engineering.

The candidate will lead Embedded, IoT, Edge AI, and Cloud projects, define system architecture, convert requirements into technical tasks, and ensure successful project execution and delivery.

Key Responsibilities

• Design modular system architectures for Embedded, IoT, Edge AI, Cloud, REST APIs, and dashboards.
• Convert requirements into clear tasks, milestones, and deliverables.
• Track project progress, manage technical risks, and ensure on-time delivery.
• Guide engineers on coding standards, Git, testing, debugging, and documentation.
• Troubleshoot issues across hardware, firmware, IoT, cloud, backend, and UI.
• Support system integration, testing, debugging, and performance improvement.
• Review technical designs, code, and test results.
• Lead prototype development, integration, technical reviews, and demonstrations.
• Mentor young engineers and explain complex technical concepts in a simple and practical way.
• 
  

Required Skills

C/C++, Python, JavaScript/TypeScript, Linux, FreeRTOS, Microcontrollers, REST APIs, MQTT, Git, Embedded Software, IoT, and system debugging.

Preferred: AWS IoT, Microsoft Azure, ThingsBoard, OpenCV, TensorFlow Lite (TFLite), React, Flutter, or FastAPI.

Education

B.E./B.Tech/M.E./M.Tech in ECE, CSE, Embedded Systems, Mechatronics, or a related field.

📍 Location: East Tambaram, Chennai, Tamil Nadu

💼 Experience: 5–8 Years

🕒 Employment Type: Full-Time

Job Title: Automation Engineer – Watermelon Tool 

Experience: 6–7 Years

Location: Bangalore

Work Mode: Hybrid

Notice Period: Immediate Joiners (Apply only if you can join within 15 Days)

Key Responsibilities:

Design, develop, and maintain automated test scripts using the Watermelon automation tool.

Build and enhance automation frameworks for web, API, and enterprise applications.

Analyze business and functional requirements to identify automation opportunities.

Execute automated regression, smoke, sanity, and functional test suites.

Maintain reusable automation components and improve test coverage.

Integrate automation scripts with CI/CD pipelines.

Perform root cause analysis for failed test cases and provide detailed defect reports.

Work closely with developers, business analysts, and QA teams to resolve issues.

Ensure automation standards, coding best practices, and documentation are followed.

Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.

Required Skills:

5–10 years of experience in Automation Testing.

Strong hands-on experience with the Watermelon automation tool (mandatory).

Experience in test automation framework development and maintenance.

Knowledge of API testing and automation.

Experience with SQL for database validation.

Familiarity with Git or other version control systems.

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI.

Strong understanding of SDLC, STLC, and Agile methodologies.

Excellent debugging, analytical, and problem-solving skills.

Good verbal and written communication skills.

Preferred Skills:

Experience with Selenium, Playwright, Cypress, or similar automation tools.

Knowledge of Java, Python, or JavaScript for automation scripting.

Exposure to cloud platforms such as AWS, Azure, or GCP.

Experience working in enterprise-scale automation projects.

ISTQB or equivalent testing certification is an added advantage.

Roles & Responsibilities:

Develop scalable and maintainable automation solutions.

Improve automation coverage and reduce manual testing effort.

Collaborate with stakeholders to deliver quality software releases.

Identify automation improvements and implement best practices.

Support production validation and release testing activities.

Mandatory Skills:

Watermelon Automation Tool

Test Automation

Automation Framework Development

API Testing

SQL

Git

CI/CD

Agile Methodology

Job Title : MLOps Engineer

Mode: Hybrid

Experience : 4 to 7 Years

Location : Hyderabad (Priority)/Bengaluru locations only

Notice Period : Immediate Joiner

Job Summary:

We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment.

Key Responsibilities:

• Develop and maintain machine learning pipelines for training, testing, and deploying models

• Design and implement infrastructure for managing and monitoring machine learning models

• Work with data scientists to build scalable, efficient, and automated model training and testing processes

• Collaborate with software engineers to integrate machine learning models into production systems

• Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment

• Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance

• Develop and maintain documentation and best practices for MLOps processes and procedures.

Experience:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

• 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale

•Proficiency in programming languages such as Python, Java, and C++

•Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras

• Experience with containerization technologies such as Docker and Kubernetes

• Strong understanding of DevOps principles and practices

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud

Experience: 3-5 years

Wissen Technology is now hiring for a Java Developer (with Azure) - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-5 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

WowPe is a leading fintech company revolutionizing the way businesses handle financial transactions. Our suite of innovative products includes a secure Payment Gateway for seamless online transactions, robust Payouts solutions to streamline bulk payments, and a versatile Point of Sale (POS) system for efficient in-store transactions. At WowPe, we’re dedicated to providing user-friendly, scalable, and reliable solutions that empower businesses to grow and succeed in today’s fast-paced digital economy.

We are looking for a highly skilled Cloud Infrastructure & Cloud Network Engineer to design, build, and manage secure, scalable hybrid cloud environments at WowPe. This role will focus on cloud networking, hybrid connectivity, infrastructure automation, security, reliability, and performance across on-prem and cloud platforms (AWS/Azure). You will play a critical role in ensuring high availability, security, and performance of our fintech platforms.

A Day in the Life

• Design and review cloud network architectures (VPC/VNet, routing, segmentation)
• Troubleshoot latency, connectivity, VPN, and performance issues
• Work with DevOps and application teams to support deployments and scalability
• Automate infrastructure provisioning and security guardrails
• Monitor network health, traffic flow, and system performance
• Ensure security, compliance, and disaster recovery readiness
• Support hybrid connectivity between on-prem data centers and cloud environments.

Key Responsibilities

Cloud Networking & Hybrid Architecture

• Design and implement VPC/VNet architectures, subnetting, routing tables, NAT, gateways, and secure segmentation
• Build and manage hybrid connectivity between on-prem data centers and cloud using Site-to-Site VPN, ExpressRoute, Direct Connect
• Configure and manage Layer 4 & Layer 7 load balancers for high availability and traffic distribution
• Architect DNS, CDN, and edge networking strategies for low-latency global access

Security & Zero-Trust

• Implement Zero-Trust networking using security groups, NACLs, identity-aware proxies, mTLS
• Design secure access controls and network isolation
• Work closely with security teams to ensure PCI, ISO, SOC compliance readiness

Automation, Platform & Reliability

• Automate infrastructure provisioning using Infrastructure as Code (Terraform/ARM/CloudFormation)
• Build self-healing, auto-scaling architectures with health checks and fault tolerance
• Support and manage Kubernetes clusters (EKS/AKS) including networking and service communication
• Integrate infra with CI/CD pipelines for safe and frequent deployments

Operations & Observability

• Perform advanced troubleshooting for latency, packet loss, MTU, routing loops
• Implement and manage monitoring, logging, and observability (Prometheus, Grafana, ELK, Azure Monitor, CloudWatch)
• Design and maintain disaster recovery architectures, multi-region networking, and replication strategies
• Ensure high availability, performance optimization, and cost efficiency

Basic Qualifications & Skills

• 4+ years of experience in Cloud Infrastructure & Cloud Networking
• Strong hands-on experience with AWS and/or Azure
• Deep understanding of VPC/VNet, routing, NAT, gateways, load balancers, DNS
• Experience with Hybrid connectivity (VPN, ExpressRoute, Direct Connect)
• Solid knowledge of network security, firewalls, access control, segmentation
• Hands-on experience with Infrastructure as Code (Terraform preferred)
• Experience in monitoring, troubleshooting, and incident handling
• Strong understanding of high availability, DR, and performance optimization

Preferred Qualifications

• Experience in fintech, BFSI, or high-compliance environments
• Exposure to Zero-Trust architecture and security best practices
• Experience with Kubernetes (EKS/AKS), service mesh, microservices networking
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of CDN, edge networking, and global traffic management
• Experience with compliance frameworks (PCI-DSS, ISO 27001, SOC2)
• Ability to design large-scale, resilient, production-grade architectures

Hiring Alert – Java Full Stack with Python | Noida | FTE with Client

We are hiring for the below opportunity:

Role: Java Full Stack Developer with Python

Employment Type: Full-Time (FTE) with Client

Location: Noida

CTC: ₹30–35 LPA + 10% Variable (Maximum budget; non-negotiable)

Notice Period: Immediate joiners or candidates with up to 30 days' notice only

Mandatory Skills

• Strong experience in Java
• Full Stack development experience
• Good hands-on experience with Python
• Relevant experience in modern backend and frontend technologies

Selection Process

1. Online Assessment Test (mandatory)
2. Candidates who clear the assessment will be invited for an In-Person/Face-to-Face Interview.

Interview Date: Saturday, 8th August

Interview Location: Noida (Candidates must be available to attend in person.)

Important Notes

• Candidates must be willing to take the assessment before the interview.
• Salary expectations should be within the mentioned budget (₹30–35 LPA + 10% Variable, non-negotiable).
• Only immediate joiners or candidates serving a notice period of 30 days or less will be considered.

Please share suitable profiles after confirming:

• Current CTC
• Expected CTC (within budget)
• Notice Period
• Willingness to take the assessment
• Availability for the Face-to-Face interview in Noida on Saturday, 8th August

Microsoft Technical Consultant 

Company Name

Savex Technologies Pvt. Ltd.

Mode of Working

Work Form Office

Days of Working

6 days a week(1st and 2nd Saturday is off; remaining Saturdays are Half day working)

Responsibilities

Objective:

• Skilled Technical Consultant with expertise in presales, delivery, and support of Microsoft solutions such as Intune, Azure, and related technologies.
• This role involves assisting with solution design, deployment, migration, and post-implementation support while working closely with customers and internal teams.

Presales

✓ Collaborate with the sales team to understand customer requirements and design tailored technical solutions for Microsoft products like M365, Intune, Azure as well as other products like Okta, Zoho, Kaspersky, and Freshworks

✓ Prepare and deliver technical presentations, demonstrations, and proof-of-concept sessions for M365, O365, Azure,Okta,Zoho,Kaspersky and Freshworks

✓ Assist in creating technical proposals, scope documents, and cost estimations for Microsoft and associated third-party products.

✓ Act as a technical advisor to clients, addressing concerns and questions during the presales phase.

 Delivery

✓ Manage and execute the deployment of M365, O365, , Azure solutions,Okta,Zoho,Kaspersky and Freshworks including tenant\Product setup, configuration, and optimization.

✓ Plan and perform migrations such as O365 to O365 or Azure migrations with minimal downtime.

✓ Customize and integrate Microsoft tools to align with business requirements.

✓ Coordinate with cross-functional teams to ensure timely and successful project delivery.

Support

✓ Provide Level 2 support for Microsoft solutions as well as for Okta,Zoho,Kaspersky and Freshworks, resolving escalated issues for those products and other integrated systems.

✓ Troubleshoot and resolve technical problems in a timely manner, escalating to L3 or vendor support when necessary.

✓ Monitor and manage security solutions (e.g., Kaspersky), ensuring compliance with organizational policies.

✓ Support and maintain ITSM tools (Zoho Ticketing, Freshworks), ensuring effective tracking and resolution of client issues.

Technical Skills

✓ Expertise in M365 and O365 suite: Exchange Online, SharePoint, Teams, OneDrive, AD and other Microsoft Services.

✓ Strong knowledge of Azure services: Virtual Machines, Storage, Identity Management, AD Connec & other Azure Services.

Migrations:

✓ Hands-on experience with O365 tenant-to-tenant migrations & other e-mails services to O365 migration.

✓ Proficiency in Azure migrations, including lift-and-shift or modernization approaches.

Skills Needed

Qualification: 

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of relevant experience in technical consulting, particularly with Microsoft and ITSM tools.
• Certifications in Microsoft products (e.g., M365, Azure Fundamentals, Azure Administrator) is must.
• Strong problem-solving skills and the ability to work independently or as part of a team.
• Excellent verbal and written communication skills.

Other

• Willingness to travel occasionally for onsite client engagements.
• Ability to work under pressure and meet tight deadlines.
• Strong organizational skills with attention to detail.

Interview process

1st Virtual Round

2nd Face to Face Round

Required Technical Skill Set

MS Azure, M365, PowerShell

No of Requirements

1

Desired Experience Range

5 to 10 Years

Location of Requirement

Bangalore/Hydrabad

Desired Competencies (Technical/Behavioral Competency)

Must-Have

·        Hands-on experience in Automating solutions in Power shell at L3 level

·        Experience in monitoring, troubleshooting, and executing Azure Runbooks for operational automation

·        Working knowledge of Microsoft 365 Groups management and support

·        String Experience in M365 License Management

·        Strong understanding of Agile methodologies, with experience working in Scrum or Kanban environments

·        Knowledge of Azure monitoring and diagnostics tools (Log Analytics, Application Insights, Alerts)

·        Good understanding of application security, reliability, and performance optimization in cloud environments

·        Excellent problem-solving, collaboration, and communication skills

·        Proficiency in DevOps practices, including CI/CD pipeline implementation and maintenance (Azure DevOps or GitHub Actions)

Good-to-Have

·        AZ-204

·        Good understanding of M365 Security and Compliance features, including retention, audit, and data governance policies

We are hiring an experienced Azure DevOps Architect to design and drive enterprise-scale cloud engineering, DevOps transformation, and automation initiatives.

Responsibilities:

• Design and implement scalable Azure cloud architectures and DevOps solutions.
• Build and optimize CI/CD pipelines using Azure DevOps / GitHub Actions.
• Drive DevSecOps, Infrastructure-as-Code (Terraform), and cloud automation practices.
• Work with Kubernetes (AKS), Docker, and cloud-native platforms.
• Define engineering standards around security, governance, monitoring, and platform engineering.
• Explore AI-enabled engineering capabilities using Azure AI Foundry, Azure OpenAI, and MCP.

Qualifications:

• 10+ years of experience in Azure Cloud, DevOps, or Cloud Architecture.
• Strong hands-on expertise in Azure, Azure DevOps, Terraform, CI/CD, Kubernetes, and DevSecOps.
• Experience designing enterprise-grade cloud platforms and automation solutions.
• Exposure to AI/GenAI integration in engineering workflows is a plus.

Senior Cloud Site Reliability Engineer (CSRE) – Azure

About Searce:

Searce is an AI-native, engineering-led modern technology consultancy that empowers

clients to futurify their businesses by delivering real, intelligent business outcomes. As a

trusted partner for over 3,000 clients globally, Searce specializes in cloud modernization,

data engineering, applied AI, and robust cloud platform security. Driven by a "HAPPIER"

cultural mindset and our proprietary evlos problem-solving framework, we eliminate

bureaucratic fluff to build working prototypes fast and scale enterprise production

environments intelligently. We don't just fix systems; we leverage multi-cloud technologies

to transform client operations into distinct competitive advantages.

Position Overview:

We are looking for a high-caliber Senior or Lead Cloud Site Reliability Engineer (CSRE) to

architect, secure, and stabilize next-generation hybrid and multi-cloud environments.

Operating at the intersection of infrastructure design, security compliance, and production

operations, you will serve as the technical Subject Matter Expert (SME) across GCP, Azure,

and AWS.

Whether optimizing a microservice mesh on GKE, tuning autoscaling on AKS, or driving a

massive disaster recovery drill across AWS regions, your focus will be absolute reliability. For

the Lead path, you will couple this deep engineering toolkit with stakeholder management

and mentorship to drive an elite operational culture.

Experience & Level Expectation:

Years of Experience: 3 to 10 years of intensive, hands-on production operations

experience in a dedicated DevOps, Cloud Platform Engineering, or SRE role.

Associate level (3-5 Years): Expected to show flawless execution of IaC, advanced

triaging of infrastructure failures, and ownership of the CI/CD and deployment

lifecycles.

Intermediate level (5-10 Years): Expected to take architectural ownership, serve as

primary Incident Commander for complex outages, design cross-cloud governance

frameworks, and act as a reliable bridge between technical teams and client

leadership.

Key Responsibilities & Role Expectations:

Multi-Cloud Platforms & Orchestration: Design, configure, and maintain

production-grade Kubernetes clusters across major platforms (AKS).

Manage advanced network routing, service meshes (e.g., Istio), and multi-tenant

isolation.

Infrastructure as Code (IaC) & GitOps: Build declarative, enterprise-grade, reusable

infrastructure components using Terraform or Crossplane. Standardize automated

environment provisioning to eliminate configuration drift across multi-branch

environments.

Incident Management & Reliability (SRE): Own and optimize the production on-call

rotation. Lead rapid mitigation strategies for Sev-1/Sev-2 system outages, reducing

Mean Time to Recovery (MTTR) through centralized log and metric correlation.

Root Cause Analysis (RCA): Facilitate rigorous, blameless post-incident reviews to

identify core architectural vulnerabilities and establish long-term fixes preventing

recurrence.

Lifecycle, Patching & Upgrades: Plan and execute zero-downtime cluster upgrades,

operating system patching strategies (Linux/Windows), database lifecycle updates,

and multi-region Disaster Recovery (DR) failover drills.

Core Core Operations & Legacy Integration: Manage enterprise-level hybrid

networking architecture (VPCs, Firewalls, Load Balancers, DNS routing, and DHCP

configurations) while effectively connecting cloud native services to legacy

infrastructures like Active Directory.

Security & Governance: Embed Zero Trust policies, secure secrets management

(Secrets Manager/Key Vault), and continuous vulnerability patching into the

automated SDLC pipeline.

Required Technical Skills:

- Microsoft Azure: Azure Virtual Machines, Virtual Networks, Azure Active Directory, Azure Update Management.

- Containers & Orchestration

• Production-level management of GKE, AKS, and EKS.
• Advanced mastery of Docker, Helm, Kubernetes StatefulSets, Pod Disruption

Job Title : Senior Azure Data / MLOps / AI Platform Engineer

Experience : 6+ Years

Employment Type : Contract

Role Level : Senior

Project : Leading South Africa Telecommunications Operator

Department : Data & AI Engineering

Job Overview :

We are looking for a Senior Azure Data / MLOps / AI Platform Engineer to design, build, and manage Azure-native cloud infrastructure, MLOps pipelines, and AI platforms supporting enterprise-scale data products and AI applications.

The ideal candidate will have strong expertise in Azure Cloud, Azure Databricks, Infrastructure as Code, CI/CD, Kubernetes, and MLOps, enabling scalable deployment of machine learning, GenAI, and AI Agent solutions.

Mandatory Skills :

Microsoft Azure, Azure Databricks, Terraform/Bicep, Azure DevOps or GitHub Actions, Docker, Kubernetes (AKS), MLflow, Azure ML, Kubeflow, CI/CD, MLOps, Infrastructure as Code, Azure Monitor, Prometheus, Grafana, Vector Databases, AI Platform Engineering.

Key Responsibilities :

• Design, deploy, and maintain Azure cloud infrastructure, landing zones, networking, storage, and compute environments.
• Build and manage Azure Databricks environments for data engineering and AI workloads.
• Develop Infrastructure as Code using Terraform or Bicep.
• Create and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
• Implement MLOps solutions including model deployment, MLflow, model registry, monitoring, drift detection, and automated retraining.
• Deploy and manage AI platform components such as vector databases, model-serving endpoints, and AI infrastructure.
• Manage containerized workloads using Docker, Kubernetes (AKS), and cloud-native deployment practices.
• Monitor platform performance, observability, security, reliability, and infrastructure costs.
• Collaborate with Data Engineering, AI/ML, GenAI, Cybersecurity, and Solution Architecture teams to deliver scalable enterprise AI platforms.

Required Skills :

• 6+ years of experience in Cloud, Platform, or MLOps Engineering.
• Strong hands-on experience with Microsoft Azure services and Azure infrastructure.
• Expertise in Azure Databricks, Terraform/Bicep, and Infrastructure as Code.
• Experience with Azure DevOps or GitHub Actions for CI/CD.
• Strong MLOps knowledge including MLflow, Azure ML, Kubeflow, Model Registry, Model Deployment, Monitoring, and Drift Detection.
• Experience with Docker, Kubernetes (AKS), and Container Orchestration.
• Familiarity with Vector Databases, GenAI infrastructure, LLM deployment, and AI platform engineering.
• Experience with monitoring tools such as Azure Monitor, Prometheus, and Grafana.

Good to Have :

• Experience with Azure OpenAI, AI platforms, or enterprise GenAI deployments.
• Telecom, Banking, or other large enterprise domain experience.
• Microsoft Azure, Databricks, or MLOps certifications.

Please find below the job description for Senior Azure Fabric Data Architect role with Wissen Technology.

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Job Description:

Experience: 8–15+ Years

Location: Wissen Office (Pune/Bengaluru)

Position: 1

Job Summary

We are looking for an experienced Azure Fabric Data Architect to lead the design and implementation of an enterprise data platform on Microsoft Fabric. The role involves architecting scalable data solutions, defining data governance, and enabling AI-driven analytics for a global financial services client.

Key Responsibilities

• Design end-to-end data architecture using Microsoft Fabric.
• Build enterprise Lakehouse, Data Warehouse, and OneLake solutions.
• Define data ingestion, ETL/ELT, governance, security, and performance strategies.
• Lead architecture for AI-powered analytics, AI Agents, and enterprise chatbots using Azure AI services.
• Work with business stakeholders to translate requirements into technical solutions.
• Mentor engineering teams and provide technical leadership.

Required Skills

• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, OneLake)
• Azure Data Engineering
• Power BI
• Azure AI Services / Azure OpenAI
• Data Architecture & Data Modeling
• SQL, Python
• Azure DevOps, CI/CD
• Strong stakeholder management and solution design experience

Technical Requirements

Any one Cloud Certification is madatory (AZ104 / AWS solution)

· Strong knowledge of application operations in cloud environments (Azure - Must , AWS understanding)

· Proficiency in monitoring and observability tools (Datadog, Grafana, Prometheus, ELK).

· Experience with incident management, RCA, and operational troubleshooting.

· Understanding of CI/CD concepts, tooling and ability to work with release teams.

· Familiarity with infrastructure components: load balancers, storage networking, DNS and certificates.

· Experience with automation and scripting (Bash, Python, PowerShell).

· Knowledge of application deployment patterns (blue/green, rolling, canary).

· Understanding of security practices: access controls, vulnerability handling, compliance alignment.

· Ability to interpret logs, metrics, traces, and performance data.

· Experience managing multi-environment application lifecycles (Dev, QA, UAT, Prod).

· Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM, AWS CloudFormation for

environment provisioning and configuration consistency.

Functional Requirements

· Ability to ensure 24x7 application reliability and operational excellence.

· Manage end-to-end application lifecycle including deployments, configurations, and environment

health.

· Collaborate with engineering, CloudOps, and Security teams to ensure smooth operations.

· Own operational KPIs such as uptime, MTTR, change success rate, and SLA/SLO adherence.

· Perform release coordination, deployment validation, and post-release monitoring.

· Lead incident response, communication, and escalation handling.

· Participate in change management and risk assessments for all application changes.

· Maintain runbooks, SOPs, and operational documentation.

· Drive continuous improvement for operational workflows and process maturity.

· Support audit, compliance, and security requirements for applications.

Job Title : API Lead

Experience : 8+ Years

Location : Remote (Laptop pickup required for 2 days from Noida, Hyderabad, Chennai, Pune, or Bengaluru)

Shift : IST (Regular Day Shift)

Role Overview :

We are looking for an experienced API Lead with strong expertise in C#.NET, Azure Cloud, Azure Functions, and Azure Kubernetes Service (AKS) to design, develop, and lead scalable, secure, and high-performance APIs and microservices for cloud-native applications.

Mandatory Skills :

C#, .NET, .NET Core/.NET 6+, Azure Cloud Services, Azure Functions, Azure Kubernetes Service (AKS), REST API Development, Docker, Kubernetes, Azure SQL/Cosmos DB, and CI/CD using Azure DevOps or GitHub Actions.

Mandatory Skills :

• C#.NET (.NET Core/.NET 6+)
• Azure Cloud Services
• Azure Functions
• Azure Kubernetes Service (AKS)
• REST API Development
• Docker and Kubernetes
• Azure SQL and/or Cosmos DB
• CI/CD (Azure DevOps or GitHub Actions)

Key Responsibilities :

• Design and develop RESTful APIs and microservices using C# and .NET Core/.NET 6+.
• Build and integrate solutions using Azure services such as Azure Functions, APIM, App Services, and Storage.
• Deploy and manage containerized applications using Docker and AKS.
• Implement API security using OAuth2, JWT, and Managed Identities.
• Optimize API performance and collaborate with Architecture, DevOps, and QA teams.

Required Technical Skills :

Must-Have Skills :

• Strong expertise in C#, .NET Core, and .NET 6+.
• Hands-on experience with Azure Functions and Azure Kubernetes Service (AKS).
• Strong understanding of REST API architecture and best practices.
• Experience with Docker and Kubernetes concepts.
• Knowledge of Azure API Management (APIM) and Azure PaaS services.
• Experience with Azure SQL Database and Cosmos DB.
• Familiarity with CI/CD pipelines using Azure DevOps and/or GitHub Actions.
• Strong understanding of API authentication and security mechanisms (OAuth2, JWT, Managed Identities).
• Experience with monitoring, troubleshooting, and performance tuning of APIs.

Good to Have :

• Experience with microservices architecture and distributed systems.
• Exposure to Infrastructure as Code (Terraform/Bicep).
• Experience with Application Insights and Azure Monitor.
• Knowledge of Agile/Scrum methodologies.

About the Role 

We are looking for a Senior DevOps Engineer to lead the design, automation, and scaling of our hybrid cloud infrastructure spanning public cloud and private/on-premises environments. You will partner closely with software engineering, security, and product teams to build reliable, secure, and high-performance systems that support rapid product delivery. This is a hands-on role with significant influence over our infrastructure strategy, deployment workflows, and engineering culture. 

Key Responsibilities 

• Architect, deploy, and maintain scalable, highly available infrastructure across both public cloud (AWS, Azure, GCP) and private cloud platforms (OpenStack, VMware vSphere/Tanzu, Nutanix, or similar). 
• Operate and maintain on-premises infrastructure: hypervisors, compute, storage (Ceph, NetApp, SAN/NAS), networking (SDN, VLANs, BGP, MPLS), and hardware capacity planning, alongside their public cloud equivalents. 
• Design and own CI/CD pipelines that deploy seamlessly across public and private environments. 
• Implement and manage Infrastructure as Code (Terraform, Ansible, Pulumi) with strong version control and review practices, using providers for both public and private cloud platforms. 
• Manage container orchestration (Kubernetes, ECS, OpenShift, Rancher) across managed cloud services and self-managed/bare-metal clusters, including upgrades, autoscaling, and workload reliability. 
• Build observability into all systems through logging, metrics, tracing, and alerting (Prometheus, Grafana, Datadog, ELK, or similar) with unified visibility across hybrid environments. 
• Champion security best practices: secrets management, IAM hardening, network segmentation, vulnerability scanning, and compliance (SOC 2, ISO 27001, HIPAA, or data-sovereignty requirements). 
• Lead incident response, root-cause analysis, and post-mortems; drive long-term reliability improvements and SLO/SLA adherence. 
• Optimize cost, capacity, and resource utilization across public cloud spend and on-premises hardware without compromising performance or availability. 
• Partner with data center operations and network providers on hardware provisioning, firmware management, MPLS circuit management, and lifecycle planning. 
• Mentor junior DevOps and software engineers; promote DevOps culture, automation-first thinking, and shared ownership of production. 
• Evaluate and introduce new tools, platforms, and processes that improve developer productivity and system reliability. 

Required Qualifications 

• 5+ years of experience in DevOps, SRE, or Platform Engineering roles, with at least 2 years at a senior level. 
• Deep expertise with at least one major public cloud provider (AWS, Azure, or GCP) in production. 
• Hands-on experience operating private cloud or virtualization platforms (OpenStack, VMware, Nutanix, or equivalent) in production. 
• Strong experience with virtualization, storage systems, and enterprise networking in on-premises environments. 
• Strong hands-on experience with Kubernetes in production, including both managed cloud and self-managed/bare-metal clusters. 
• Proficiency in Infrastructure as Code (Terraform and Ansible strongly preferred). 
• Solid scripting and programming skills in Python, Go, Bash, or similar. 
• Experience designing and operating CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, CircleCI, or ArgoCD. 
• Strong Linux systems administration and networking fundamentals (TCP/IP, DNS, load balancing, VPNs, firewalls, routing, MPLS). 
• Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, New Relic, ELK, or OpenTelemetry). 
• Proven track record of leading incident response and improving system reliability. 
• Excellent communication skills and the ability to collaborate across engineering, security, infrastructure, and product teams. 

Preferred Qualifications 

• Experience designing hybrid and multi-cloud architectures, including secure connectivity (Direct Connect, ExpressRoute, MPLS, VPN, SD-WAN) between public and private environments. 
• Familiarity with service meshes (Istio, Linkerd), API gateways, and GitOps workflows (ArgoCD, Flux). 
• Background in security-focused or regulated environments and exposure to compliance frameworks. 
• Experience with database administration (PostgreSQL, MySQL, Redis, MongoDB) in cloud-managed and self-hosted setups. 
• Contributions to open-source DevOps or cloud infrastructure tooling. 
• Relevant certifications (AWS Solutions Architect / DevOps Engineer, Azure Administrator, CKA, CKAD, RHCE, VMware VCP, OpenStack Certified Administrator, HashiCorp Terraform Associate). 

Mandatory Skills: ETL, Data Warehousing, Python, GCP Services

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 4+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes

● Good understanding of SDLC, Agile and Scrum processes.

● Strong problem-solving, multi-tasking, and organizational skills.

● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.

● Good written and verbal communication skills.

● Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Position: Cloud Sales Executive Industry: Web Hosting & Cloud Solutions Experience: 1–4Years Location: Amrapali Circle, Vaishali Nagar, Jaipur. Employment Type: Full-Time About Us: We are a fast-growing web hosting and cloud services provider, delivering secure, scalable, and reliable digital infrastructure to businesses across industries. With a commitment to performance, innovation, and customer success, we empower clients with world-class solutions like Shared Hosting, VPS, Dedicated Servers, Reseller Hosting, and cloud offerings on AWS, Azure, and Google Cloud. We're looking for a Senior Business Development Executive who thrives in a fast-paced, tech-driven environment and is passionate about driving growth through strategic outreach and relationship building. Role Overview: As a Senior Business Development Executive, you will be responsible for identifying, engaging, and converting prospective clients into long-term partners. You will leverage multiple channels such as cold calls, emails, LinkedIn networking, and industry events to generate quality leads and close sales. This role requires in-depth IT sales knowledge, excellent communication skills, and a solid understanding of cloud technologies and modern hosting infrastructure. You’ll be the bridge between client needs and our technical capabilities, offering customized solutions that drive real business value. Key Responsibilities: o Proactively identify potential clients using calls, emails, social media (especially LinkedIn), and industry connections o Build and maintain a pipeline of qualified leads in Google Sheets, ensuring all interactions are logged and updated o Understand client requirements, pain points, and business goals to recommend suitable hosting or cloud solutions o Conduct product walkthroughs, presentations, and consultations to guide decision-making o Prepare professional, customized proposals, pricing quotations, and service agreements o Handle negotiations with confidence, ensuring win-win outcomes for both client and company o Will be responsible for B2B and B2C and Pre-Sales and Post Sales and Tech teams to ensure accurate scoping and troubleshooting. o Close deals and ensure a smooth handoff to onboarding and support teams o Stay updated with industry trends, competitor activities, and emerging cloud technologies (AWS, Azure, GCP, Linode) o Educate clients on the benefits of moving to the cloud or upgrading their hosting infrastructure o Work with the marketing team to align outreach strategies and campaign goals o Participate in webinars, exhibitions, and other marketing events to represent the company What We’re Looking For: • 4–6 years of proven experience in business development, preferably in web hosting, cloud, or IT infrastructure sales • Strong knowledge of web hosting services and cloud technologies like AWS, Azure, GCP, Linode and more. • Exceptional written and verbal communication skills • Ability to prepare accurate, compelling quotations and proposals • Self-driven, goal-oriented, and confident in both outbound sales and consultative selling • Strong presentation, negotiation, and relationship management skills • Ability to work independently while contributing to a collaborative team culture Preferred Skills (Bonus Points): • Technical certifications in cloud platforms (AWS/Azure/GCP, Linode) • Experience in managed web hosting services • Basic understanding of B2B and B2C Selling What We Offer: • Salary as per industry with performance-based incentives • A supportive and collaborative team environment • Opportunities for learning and certification in cloud and IT technologies • Career growth in a rapidly expanding company 

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.

About the Role

The PMO Manager You will oversee resource allocation, financial project controlling, and overall delivery management. Your goal is to ensure the right people are on the right projects at the right time, ensuring that budgets are respected and delivery timelines are met.

Key Responsibilities

• Resource Orchestration: Manage workload, vacation planning, and project assignments for the entire team.
• Project Controlling: Monitor project budgets and delivery milestones to ensure financial health.
• Agile Integration: Attend daily Scrums to gain real-time transparency into team capacity and roadblocks.
• Dynamic Re-allocation: Quickly shift resources between projects based on shifting priorities and daily insights.
• Skill Management: Track team skillsets, identify "skill gaps," and plan for training or new staffing needs.
• Strategic Oversight: Participate in Steering Committee (SteerCo) meetings to report on delivery status.

Requires Technical Skills

• Project Management Tools: Strong proficiency in Azure DevOps, Jira, or similar task-tracking platforms.
• Reporting & Analysis: Advanced skills in MS Excel (for budgeting/controlling) and MS Project.
• Communication Suite: Mastery of MS Teams, PowerPoint, and Word for stakeholder reporting.
• D365 Exposure: Familiarity with Dynamics CRM environments is highly preferred to understand the project landscape.

Qualification & Preferred

• Education: Degree in IT, Business, Engineering, or equivalent professional training.
• Experience: Proven track record in a PMO role is mandatory. Must have experience in project controlling and process optimization.
• Good to Have: Professional project management
• Process Knowledge: Deep understanding of the Project Life Cycle (PLC) and Software Development Life Cycle (SDLC).

Company Description:

VDart Digital is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.

Role Description

• Design, build, and own enterprise-scale data platforms on Azure
• Take end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness
• Act as a bridge between business stakeholders, data engineering, and analytics teams to deliver scalable, high-performance solutions

Key Responsibilities

• Design and implement data pipelines using Azure Data Factory (ADF), including REST API and external source integration
• Build data transformation workflows using Databricks (PySpark) for complex and nested JSON datasets
• Architect and implement Delta Lake-based platforms with fact and dimension models (star schema)
• Define and enforce best practices for data modeling, performance optimization, and cost efficiency
• Own the full data platform lifecycle: architecture, deployment, monitoring, and support
• Establish production readiness frameworks including logging, alerting, and data quality checks
• Collaborate with business and analytics teams to translate requirements into scalable solutions
• Mentor engineering teams and drive architectural governance

Required Experience & Skills

• Experience building pipelines using Azure Data Factory
• Experience integrating REST APIs using Azure Data Factory
• Experience building transformations using Databricks (PySpark)
• Experience handling complex and nested JSON datasets using PySpark
• Experience designing dimensional models (star schema)
• Experience implementing fact and dimension tables in Databricks Delta Lake
• 15–20 years of experience in enterprise data platforms, with at least 5 years in Azure data services
• Ability to bridge business, data engineering, and analytics teams
• Experience owning end-to-end production readiness including architecture, deployment, monitoring, and support

We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants.  The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies. 

Responsibilities: 

• Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies 
• Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories 
• Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly 
• Leverage Generative AI services to enhance chatbot responses with creativity and personalization 
• Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience 
• Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions 
• Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization 
• Stay updated on the latest advancements in Conversational AI technologies and best practices.
• Apply Microsoft Foundry methodologies for rapid prototyping, iterative experimentation, and accelerated delivery of AI-driven chatbot solutions
• Build, refine, and scale enterprise-grade chatbot applications using Foundry-aligned engineering practices, reusable components, and standardized deployment workflows

Preferred Qualifications: 

• 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots 
• Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization 
• Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic 
• Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems 
• Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation 
• Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs 
• Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation 
• Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange 
• Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements 
• SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod).
• Hands-on experience working with Microsoft Foundry frameworks, including rapid MVP creation, modular architecture patterns, and AI-driven solution accelerators
• Demonstrated experience building, deploying, and optimizing chatbot applications using Foundry engineering standards and reusable AI components
• Excellent communication, collaboration, and problem-solving skills 
• Ability to work independently and manage multiple projects simultaneously 
• Passion for innovation and a strong desire to push the boundaries of Conversational AI technology 

Role: Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 6.5+ years

Skills: C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure

Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure

Functions, Azure Blob storage, Caching, NoSQL Databases

About the role:

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software

that solves real problems. Strives for security, performance, simplicity, usability, and maintainability.

Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution

● Works within established agile methods, promoting an atmosphere of continuous improvement.

● Continuously learns new technologies and patterns and practices.

● Documents knowledge for the benefit of the team.

● Reports to the team on obstacles and roadblocks.

● Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team

meetings.

● Promote patterns and best practices on the team.

● Mentors and guides the less experienced software engineers.

2. Planning and Design

● Works with the product team and stakeholders to refine and document requirements.

● Estimates effort for planning purposes.

● Designs and documents enterprise-level software architecture, consulting with Enterprise

Architecture when appropriate.

3. Development

● Writes code to develop software that meets requirements and specifications.

● Follows established software development life cycle (SLDC).

● Writes code with readability and future maintenance in mind.

● Follows established source control standards and best practices.

● Adheres to established secure coding practices.

● Reviews code for other developers.

● Leads team-based development efforts.

4. Quality Assurance

● Validates QA findings and fixes defects.

● Develops integration and testing points in the software that allow for QA testing.

● Assists QA in running performance and load tests.

5. Release

● Assists with release planning and releases.

6. Support

● Assists the support team as needed, including root cause analysis.

● Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

Solid Understanding of The Following:

● Microservices Architecture:

Confidential. c Foxsense Innovations. 1

● Microservices design principles (bounded contexts, loose coupling)

● API-first design and contract management

● Event-driven design principles

● Asynchronous messaging patterns

● Eventual consistency concepts

● Idempotency and message replay handling

● ASP.NET Core Web API development

● Web Apps

● Azure Kubernetes Service (AKS)

● Azure Blob Storage usage and lifecycle management

● API Gateway / Azure API Management concepts

● Entra (Authentication)

● Azure Service Bus

● Azure Functions

● Caching

● NoSQL DatabasesProcesses & Standards: Git, GitFlow, OO Programming, Kanban, Secure

Coding, & Agile Methodologies

Bonus Skills:

● Excellent written and verbal communication

● Excellent documentation

● Continuous learning

● Collaboration across team and functional boundaries

● Troubleshooting and creative problem solving

● Design simple architecture that supports complex applications and APIs

● Architect extensible databases

● Author complex component-based client applications and restful APIs

● Perform advanced CRUD operations against multiple data sources

● Manipulate enterprise level data structures

● Mentor less experienced team members

● Take ownership of team processes and legacy applications

● Perform business analysis tasks, such as requirements gathering and wireframing

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks)