Position Name:- Azure Infrastructure Engineer
Year of Exp:- 8+ years
Mode :- Remote
Key Important Skill Set:-
Cloud Networking
Azure Networking
Hub-and-Spoke Architecture
Azure Kubernetes Service (AKS)
Terraform Automation
State File Management (Terraform)
Disaster Recovery (DR) Setup
High Availability Configuration
Network Troubleshooting (Azure)
AKS Networking
Scaling and Load Balancing (AKS)
VM Deployment (Terraform)
Service Mesh
Helm for AKS
Production-Level Infrastructure Management
Network Security Groups (NSG)
Container Management (AKS)
Detailed Job Description: -
Key Responsibilities:
Operate and troubleshoot production AKS clusters
Build and deploy workloads using Docker and Helm
Automate infra provisioning with Terraform
Configure autoscaling using KEDA and HPA
Manage Istio or equivalent service mesh (ingress, routing, mTLS)
Maintain robust CI/CD pipelines (Azure DevOps/GitHub Actions)
Handle complex Azure networking (VNet, NSG, DNS, LB, peering)
Support and execute disaster recovery procedures
Shubham Vishwakarma
Full Stack Developer - Averlon
About Prakhar Software Solutions
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Python
Java
NodeJS (Node.js)About CNH
Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.
Role Summary
We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.
The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.
Key Responsibilities
Technical Leadership
- Lead the design, development, and deployment of scalable applications and platforms.
- Drive engineering best practices, coding standards, architecture reviews, and technical governance.
- Ensure system reliability, performance, security, and scalability.
- Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.
Team Leadership
- Build, mentor, and manage high-performing engineering teams.
- Conduct performance reviews, coaching, and career development discussions.
- Foster a culture of accountability, innovation, collaboration, and continuous learning.
- Support hiring and talent development initiatives.
Product & Delivery Management
- Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
- Drive sprint planning, prioritization, estimation, and delivery management.
- Ensure timely and high-quality execution of engineering roadmaps.
- Manage risks, dependencies, and technical debt effectively.
Stakeholder Management
- Collaborate with Operations, Clinical, Customer Success, and Business teams.
- Communicate project progress, risks, and outcomes to leadership.
- Support strategic initiatives through technology-driven solutions.
Quality & Compliance
- Ensure adherence to information security, data privacy, and healthcare compliance requirements.
- Establish monitoring, testing, and release management processes.
- Drive automation, observability, and operational excellence.
Qualifications
- Bachelor's or Master's degree in Engineering, Computer Science, or related field.
- 8–12+ years of software engineering experience.
- 3–5+ years of experience leading engineering teams.
- Experience building and scaling enterprise-grade applications.
Technical Skills & Expertise
- Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
- Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
- Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
- Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
- Expertise in cloud platforms such as AWS, Azure, or GCP.
- Experience implementing monitoring, logging, and observability solutions.
- Familiarity with modern databases, distributed systems, and high-availability architectures.
- Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
- Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.
Additional Responsibilities
- Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
- Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
- Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
- Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
- Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.
Preferred Candidate Profile
- 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
- Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
- Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
- Experience managing engineering teams delivering mission-critical products at scale.
CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.
Calling New & Existing clients.
Upselling the packages
Closing sales and achieving sales targets.
Responsible for making outbound calls and regular follow up on leads assigned.
Selling Membership over the phone and achieve the targeted sales numbers & value, set quality parameters
Understand the Customer requirements, encourage them to upgrade / renew the packages.
Build customer relationships with existing clients by reaching out via phone calls, emails, or other forms of communication to increase the likelihood of them using our services again
🌟 We Are Hiring! 🌟
🚀 Launch Your Career in Digital Marketing with UpTeams App! 🚀
UpTeams App is on the lookout for passionate freshers and digital marketing course graduates to join our growing team!
🌟 Key Skills Required:
✅ Strong Communication Skills
✅ Creative Content Creation
✅ Campaign Management Expertise
📍 Location:
EliteEvince Technologies,
A-713, Dev Aurum Commercial,
Deer Circle, Prahladnagar, Ahmedabad
Job Responsibilities
1. Monitor legal risk in real estate documentation and advise clients accordingly.
2. Interpret laws, rulings and regulations for real estate transactions.
3. Draft and negotiate real estate transactions.
4. Draft routine leases and amendments.
5. Manage regulatory and compliance-related services.
6. Support legal and general advisory needs associated with a large-scale real estate portfolio.
Requirements:
1. 1 to 3 years’ experience minimum
2. Kannada language is must
3. Real estate background experience is must
Required Skills:
1. Basic experience in real estate law and industry knowledge that includes litigation, lease transactions, property management, and purchase and sale transactions.
2. Basic experience in title insurance underwriting, curative and claims.
3. Basic understanding of foreclosure.
4. Analytical thinker with basic conceptual and research skills.
5. Natural leader who displays sound judgment and attention to detail.
6. Proficient with Microsoft Office programs
Kubernetes
Docker
Amazon Web Services (AWS)Key Responsibilities:
- Drive the architectural design, solution planning, and feasibility study on Cloud Computing Infrastructure.
- Deliver new IT services and exploit current infrastructure technologies.
- Drive the infrastructure roadmaps and planning in adopting the cloud infrastructure in a long
run.
- Conduct research and make recommendations on suitable cloud platforms & services.
- Advice on and implement cloud best practices.
Job Requirements:
Desired understanding of the following - VPC, EC2, S3, IAM, Route 53,
Lambda, Billing, AWS MYSQL, Kinesis, API Gateway, Cloud Watch, EBS, AMI, RDS, Dynamo
DB, ELB, Light sail, Kubernetes, Docker, NAT Gateway
Education & Experience:
- 3 to 5 years related work experience
- Bachelor's degree in Computer Science, Information Technology or related field
- Solid experience in infrastructure architecture solutions design
- Solid knowledge in AWS/Google Cloud
- Experience in managing implementations on public clouds (AWS/Google Cloud)
- Excellent analytical and problem-solving skills - Good command of written and spoken English.
- Certification for AWS/Google Cloud Architect - Associate level
HTML/CSS
Javascript
Angular (2+)
AngularJS (1.x)EXP:2+YRS
LOCATION: MUMBAI (HYBRID/REMOTE)
GOOD COMMUNICATION
Design, code, test, debug & document software account to the requirement
Develop, maintain, support programs as required
Analyze, diagnose, resolve errors in applications
Follow all standards/methodologies
Participate in requirements analysis
What you will do:
- Deciding accessories for models in photo shoots
- Product styling
- Campaign styling
- Catalogue Styling
- Arranging props for shoots
- Developing mood boards
What you need to have:
- Minimum experience of 2 years in catalogue and campaign shoots
- Ability to imbibe good time management and multi-tasking skills
Urgent requirement for IT Recruiter for a US-based MNC
Apply only if you have experience in End to end It Recruitment.
Apply only if okay for CIEL HR payroll.
Please note the notice period. we are looking for an immediate to 15 days joiner only.
Experience: 3+ years
Location: Baner, Pune(looking for people in Pune only)
Notice Period: Immediate to 15 days
Working: currently WFH
Skills: End to End recruitment, Stakeholder management, Bulk hiring
Machine Learning (ML)
Data ScienceWe’re building the future of private financial markets
Traditionally a space only for the wealthy and well-connected, we believe in a future where private markets are more accessible to investors and fundraisers. By leveling the playing field we hope to create a more equitable economy, where inspiring companies are connected to inspired investors, whoever and wherever they are.
Leveraging our trusted brand, global networks and incredible team, we’re building a technology-enabled ecosystem that is as diverse and dynamic as our investor network. As we progress on this ambitious journey, we’re looking for energetic and creative people to support and leave their mark on our platform.
Before Applying
- We have big plans to disrupt the traditional fundraising process for private businesses
- You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
- Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
- We work really hard but play really hard as well
Job purpose
- We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.
Roles and responsibilities
- Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
- Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
- Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
- Apply your expertise in data science, statistical analysis, data mining and the visualisation of data to derive insights that value-add to business decision making (e.g. hypothesis testing, development of MVPs, prototyping etc).
- Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverable.
You’ll be a great fit for us if you
- Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
- At least 3 to 5 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics,multi-variate testing and algorithm-optimization for machine learning
- Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensional reduction, recommendation systems,neural nets etc.
- Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
- Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
- Highly proficient in data visualization and the use of dash boarding tools (e.g.Tableau, Matplotlib, plot.ly etc).
- Proven track record in delivering bespoke data science solutions in a cross-functional setting.
- Experience in managing a small team is preferred.
Bonus attributes
- Interested in dealing with data, including finding, and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
- Preferably have some understanding of terms in financial statements and financial ratios
- Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
- Ability to work under pressure and tight timings
- Team oriented, but highly independent for their own projects
- High level of organisational skills and ability to prioritize
Amazon Web Services (AWS)KubernetesRoles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon