
Responsibilities -
Excellent in Follow ups
Good command in excel/Google sheets
Excellent in schedule maintenance.
Prepare internal and external reports
Uphold a strict level of confidentiality.
Diary management and arranging appointments, booking meeting rooms and conference facilities.
Requirements-
Only female candidates with Good communication skills.
Strong personality with ability to get the work done.
Location - Bangalore
Salary - Upto 35k
Languages - Hindi /English / Kannada .
(Hindi is Must )
Note - We are looking only for Married candidates.

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Position: Administrative Assistant to Management
Experience: 3+ year in an administrative role, preferably in a corporate setting
salary: 30-40k
Education: Bachelor degree in Business Administration, Hospitality, or related field
Location: Surat
Industry: Building material industry
Job Summary:
We are seeking a highly organized and detail-oriented Administrative Assistant to provide support to our management team. The successful candidate will be responsible for managing travel arrangements, corporate credit cards, corporate gifts, and other administrative tasks.
Key Responsibilities:
1. Travel Arrangements: Book flights, hotels, and rental cars for management team members; ensure all travel arrangements are made in accordance to the management.
2. Credit Card Management: Manage 70+ corporate credit cards, including tracking expenses, reconciliations, and ensuring timely payments.
3. Corporate Gift Arrangements: Coordinate and arrange corporate gifts for clients, vendors, and employees, ensuring timely delivery and presentation.
4. Administrative Support: Provide administrative assistance to the management team, including preparing documents, reports, and presentations.
5. Calendar Management: Manage calendars for management team members, ensuring timely scheduling of meetings and appointments.
Skills:
Excellent communication, organizational, and time management skills.
Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
Ability to work independently and as part of a team.
Strong attention to detail and problem-solving skills.
mail updated resume with current salary-
email: jobs[at]glansolutions[dot]com
satish: 88 O2 74 97 43
Job Title: AWS Devops Engineer – Manager Business solutions
Location: Gurgaon, India
Experience Required: 8-12 years
Industry: IT
We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.
Key Deliverables (Essential functions & Responsibilities of the Job):
· Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.
· Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.
· Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.
· Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.
· Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.
· Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.
· Work closely with development teams to improve application reliability, scalability, and performance.
· Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.
· Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.
· Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.
Knowledge Skills and Abilities:
· 7+ years of hands-on AWS DevOps experience, especially with middleware services.
· Strong expertise in MongoDB Atlas or other cloud MongoDB services.
· Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.
· Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.
· Excellent scripting skills in Python, Bash, or PowerShell.
· Experience in containerization and orchestration: Docker, EKS, ECS.
· Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.
· Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.
· Ability to solve complex problems and thrive in a fast-paced environment.
Preferred Qualifications
· AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.
· MongoDB Certified DBA or Developer.
· Experience with serverless services like AWS Lambda, Step Functions.
· Exposure to multi-cloud or hybrid cloud environments.
Mail updated resume with current ctc-
Email: etalenthire[at]gmail[dot]com
Satish; 88 O2 74 97 43
Responsibilities:
• ACCOUNT MANAGEMENT and OPERATIONS
• Handles day-to-day administration of accounts independently in coordination with the team. Ensures timely execution of work
• Understands clients' requirements in functional as well as business aspects to execute campaigns.
• Generate campaign/project proposals, pricing as well as critical path
• Maintains relationship with key individuals (project owners) at middle management levels of the client organization
• Develops a thorough understanding of brands • Ensures seamless execution of client campaigns, prioritizes resources, and keeps Reporting manager and other groups well informed of progress and changes • Participates in interactive strategy Developmnent with the Strategy Team
Skills:
• Should be able to build strong client relationships
• Should be able to build strategic partnerships
• Client assessment skill
• Excellent Communication Skills
• Decision rnaking skills
• Planning and Organizing Skills
If interested kindly share updated cv at hitanya(at)zohomail(dot)in


Position Summary
Designing, developing, and debugging new and existing software using Microsoft .Net tools and database platforms. Work in every level of our technology department, providing solutions to meet the needs of our end-users. A Software Engineer will also document solutions and designs, test code modifications and provide mentoring to programmers and junior developers.
Responsibilities:
- Work closely with senior engineers to develop high-quality software solutions
- Collaborate with team members to analyze user requirements and design software solutions
- Participate in agile development processes, including sprint planning, daily stand-ups, and sprint reviews
- Write clean, maintainable, and efficient code
- Develop and maintain unit tests to ensure code quality
- Contribute to the design and architecture of microservices-based applications
- Collaborate with cross-functional teams to troubleshoot, debug, and optimize software applications
Requirements:
- 5-10 years of experience in software development
- Proficiency in C#, .NET, Microservices architecture, SQL, and Azure services
- Experience with Agile development methodologies
- Strong problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Excellent communication skills and willingness to ask questions and seek guidance when needed
Additional Preferred Skills:
- Familiarity with other programming languages and technologies is a plus




LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.
Responsibilities :
Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties
Requirements:
Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.



Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
Location: MBFC / Command Center, Changi Business Park, Singapore
Duration: 12 Months Renewable Contract
Description
- We are looking for highly motivated and experienced individuals to join our client as Application/Production Support Analyst supporting banking systems and applications.
Mandatory Skill(s)
- Degree in Computer Science, Business Information Technology or related disciplines;
- 3-5 years of experience providing support to business systems and applications in banking or financial service sectors;
- Possesses good knowledge on Site Reliability Engineering best practices and experience adhering to Site Reliability Engineering guidelines in the work;
- Able to troubleshoot and provide solutions for technical issues and routes to appropriate escalation groups;
- Good analytical skills with excellent communication;
- Good in understanding internal processes and resolving issues;
- Should have keen interest in providing high service quality and familiar with the demand of a 24×7 support environment.
Desirable Skill(s)
- Prior experience in the banking industry;
- Experience in application implementation projects in financial institutions would be a great advantage.
Responsibilities
- Perform work in rotational shifts to provide 24/7 on-site or on-call support;
- Responsible for health-check, continuous L1 and L2 support and rectification for mission critical Web-based applications;
- Responsible for the day-to-day maintenance of the application systems in operation;
- Handle Incident and Problem management;
- Work closely with key stakeholders, including management, development teams, end users, and unit leaders and communicate application problems and issues;
- Provide root cause analysis techniques to determine cause and resolve complex system issues or escalate to application managers and the management team;
- Involve with onsite and offshore teams across multiple technologies/applications;
- Lead formal and informal Post Event Problem Reviews;
- Actively involved in Continuous improvement of the system such as removal of TOIL, job automation, performance, tuning;
- Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health.
* Excellent selling, communication & negotiation skills.
* Time management and organizational skills.
* Ability to create and deliver presentations tailored to audience needs.
* Relationship management skills and openess to feedback.
PLease find the details below:
1) Exposure in Mainframe Production Support along with Mainframe Development.
2) Exposure in java Migration system.
3) strong in cobol, jcl and db2.
4) strong interpersonal skill
Requirements
- Design, write and build tools to improve the reliability, latency, availability and scalability of HealthifyMe application.
- Communicate, collaborate and work effectively across distributed teams in a global environment
- Optimize performance and solve issues across the entire stack: hardware, software, application, and network.
- Experienced in building infrastructure with terraform / cloudformation or equivalent.
- Experience with ansible or equivalent is beneficial
- Ability to use a wide variety of Open Source Tools
- Experience with AWS is a must.
- Minimum 5 years of running services in a large scale environment.
- Expert level understanding of Linux servers, specifically RHEL/CentOS.
- Practical, proven knowledge of shell scripting and at least one higher-level language (eg. Python, Ruby, GoLang).
- Experience with source code and binary repositories, build tools, and CI/CD (Git, Artifactory, Jenkins, etc)
- Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience supporting multi-tier web application architectures.
Look forward to
- Working with a world-class team.
- Fun & work at the same place with an amazing work culture and flexible timings.
- Get ready to transform yourself into a health junkie
Join HealthifyMe and make history!

