Kubernetes
PythonJD for Cloud engineer
Job Summary:
We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.
You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.
Key Responsibilities:
1. Cloud Infrastructure Design & Management
- Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
- Implement Google Cloud Storage, Cloud SQL, filestore, for data storage and processing needs.
- Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
- Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
2. Kubernetes & Container Orchestration
- Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
- Work with Helm charts for microservices deployments.
- Automate scaling, rolling updates, and zero-downtime deployments.
3. Serverless & Compute Services
- Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
- Optimize containerized applications running on Cloud Run for cost efficiency and performance.
4. CI/CD & DevOps Automation
- Design, implement, and manage CI/CD pipelines using Azure DevOps.
- Automate infrastructure deployment using Terraform, Bash and Powershell scripting
- Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Required Skills & Qualifications:
✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.
✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.
✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.
✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.
✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.
✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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About jhana
jhana is an early-stage, seed-funded startup that builds intelligent practice tools for the law across research, drafting, and document management. At jhana.ai, we are transforming the legal industry with India’s first AI-driven Paralegal. Our product delivers critical legal insights through advanced AI, producing outputs like redlines, memos, and risk assessments to streamline workflows for legal teams. Recognized as the Best Legal Tech Startup in Asia and Oceania by ALITA, we are on a mission to empower professionals with technology that drives efficiency and excellence.
Job Description:
jhana is looking for an Sr. Account Manager with background in law to drive growth, optimize business & sales processes, and manage high-value client relationships. This role is ideal for legal professionals with business acumen who seek opportunities in a high-growth, client-focused environment. The candidate must be comfortable working in a dynamic, tech-driven space and be willing to travel for client meetings and industry events.
Responsibilities
Here’s a more refined, sharper version that further streamlines the language and elevates the impact of each point:
- Sales & Business Development: Define and refine scalable sales processes, drive lead generation, and manage the entire sales cycle to closure.
- Client Relationship & Strategic Engagement – Manage key client relationships as a trusted advisor, ensuring high retention and satisfaction, and representing the company at client meetings, industry events, and conferences.
- Pipeline Management & Conversion Optimization – Build and manage a structured sales pipeline, enhancing lead-to-deal conversion and ensuring predictable, sustained revenue growth.
- Proactive Sales Strategy & Execution – Drive business development by proactively sourcing and closing new opportunities, setting the standard as a top-performing salesperson with a hunter mentality.
- Consultative Selling & Client Partnership – Leverage a consultative approach to tailor solutions to client needs, fostering strong relationships through impactful presentations, demos, and negotiations.
- Market & Competitive Intelligence – Stay ahead of industry trends, competitor activities, and client needs to refine sales strategies, shape product positioning, and drive a competitive edge.
- Cross-functional Collaboration & Data-Driven Reporting – Partner with Marketing, Product, and Customer Success teams to align efforts with company goals, while leveraging CRM systems to track sales performance, forecast accurately, and adjust strategies based on data insights.
- Leadership in Team Development - Mentoring junior team members, spearhead cross-functional projects with product, marketing, and customer success teams to ensure unified client engagement and retention strategies, and actively participate in strategic discussions by offering insights on process enhancements, client feedback, and sales tactics to drive company growth.
- Client Engagement & Travel: Represent jhana at client meetings, conferences, and industry events, involving regular travel as well as virtual interactions.
Skills & Experience
- Education: Bachelor’s degree in Law, Business, or a related field. Advanced degrees (JD, MBA) preferred.
- Legal Industry Experience: 5+ years (Senior Account Manager) in a top-tier law firm or legal chamber with a strong grasp of legal processes and industry challenges is mandatory.
- Leadership & Collaboration : Demonstrated ability to mentor and coach junior colleagues, share best practices, and drive collaborative initiatives across departments. Comfort taking ownership of new projects, providing strategic input, and setting a high bar for performance.
- Consultative Sales & Relationship Building: Adept at identifying client needs and crafting tailored solutions. Track record of consistently meeting or exceeding sales goals, maintaining client satisfaction, and establishing long-term partnerships.
- Strategic and Data-Driven Mindset: Experience developing or optimizing sales strategies based on market trends and client feedback.
- Sales & Business Development Expertise: Proven background in Law, sales, account management, or business development, ideally in the legal tech or SaaS sector (preferred).
- Process Development & Leadership: Experience in designing and implementing scalable sales strategies. Ability to mentor and lead teams effectively.
- Tech & Data Proficiency: Proficiency in CRM platforms (e.g., Salesforce, HubSpot), data analytics, and sales tracking tools (preferred).
- Communication & Negotiation: Exceptional verbal and written communication skills with the ability to articulate complex concepts clearly.
Additional Requirements
- Willingness to travel frequently for client meetings and events.
- Strong adaptability to a fast-paced, evolving startup environment.
- Tech-savvy with a keen interest in legal innovation and AI-driven solutions.
What We Offer
- Best-in class salary, benefits and performance-based incentives.
- High-impact role with growth opportunities to build and scale the sales function.
- A dynamic, inclusive, and mission-driven work environment.
Job description
1.Responsible for making sure supplies, stock, materials, packages, and/or products are processed through the delivery and/or warehouse system efficiently and safely.
2.Achieve high levels of customer satisfaction through excellence in receiving, identifying, dispatching and assuring quality of goods 2. Organize and Plan Inventory storage area. Co-ordinate, Maintain and monitor the receipt and dispatch of goods.
3. Ensure orders are processed efficiently and that the delivery of materials meets customers timescales/requirements.
4.Communicate with suppliers, retailers, customers etc. to achieve profitable deals and mutual satisfaction.
5.Supervise and control order picking, goods in, goods out operations to ensure accuracy with minimum handling and stock damage.
6.Plan and track the shipment of final products according to customer requirements.
7.Keep logs and records of warehouse stock, executed orders etc.
Rolehttps://www.naukri.com/logistics-executive-jobs">Logistics Executive
Industry Typehttps://www.naukri.com/fmcg-jobs">FMCG
Functional Areahttps://www.naukri.com/procurement-supply-chain-jobs">Procurement & Supply Chain
Job Description:
- 5-8 years of experience as business analyst preferably with some experience in healthcare domain
- Experience in capturing/ defining requirements and creating business requirements document/ software requirements specifications
- Extensive and hands on experience in creating wireframes using tools like Visio etc.
- Experience in communicating with stakeholders across the board, including clients, business team, and the development team to make sure the goals are clear and the vision is aligned with business objectives
- Experience as a BA in software development/ implementation projects is a must
- Experience in creating and prioritizing the list of user stories/ backlog items and prioritize them based on the overall strategy and business objectives
- Experience in overseeing the development of the product and taking necessary steps to keep the project on track
- Strong communication skills, documentation skills. Excellent PPT, word and excel skills are a must
Good to have
- Have worked with hospitals or outpatient clinics or public sector healthcare entities
- BA may have to travel for a few weeks Internationally
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
JavaPython
PHP
C++WORK EXPERIENCE: 0.6 TO 3 YRS
SALARY: Negotiable (Base on Experience)
SHIFTS: Flexible to Work in Night Shifts (Male candidates are preferred)
CONTACT : Malar HR
Roles & Responsibilities
- The Designer/Developer is responsible for the design, layout and coding of a Website, Web Application, etc.
- They are involved with the technical and graphical aspects of a website - how the site works and how it looks. They can also be involved with the maintenance and update of an existing site and upgrades on existing Web Application.
- Write the programming code, either from scratch or by adapting existing website software and graphics packages to meet business requirements
- Test the website and identify any technical problems
- Upload the site onto a server and register it with different search engines.
- HTML, JavaScript, jQuery, and CSS.
- Adobe Illustrator.
- PHP, Java, Ruby, Python, Ajax, Angular JS.
- Frameworks - Zend, Symfony, CakePHP, Laravel & Codeigniter.
- MySQL, Oracle, and SQL Server.
Android DevelopmentJava
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon