ServiceNow HR Application Support
at 20 years IT Company providing Enterprise services
Javascript
HTML/CSS- Willing to work in Night shift (6pm to 3am)
- 2-5 years of ServiceNow HR Application support
- Must be proficient with analyzing log files and standard debugging concept.
- Familiarity with tools practices of the trade such as incident management, knowledgebase, escalation management.
- Previous experience working with the ServiceNow Modules (HR - Case and Onboarding, ITSM, SLA Management, Service Catalog, Workflows Approvals etc)
- Min 2 year of experience in JavaScript, HTML, CSS, REST/SOAP, XML, Json
- Experience providing SaaS support is desirable
- Knowledge of ITIL standard methodologies
- Experience in L2, L3 support
- Databases understanding (MySQL, Oracle SQL etc)
- Good analytic skills, ability to prioritize tasks
- Ability to work as a team member and deal with multi-task issues
- Experience in manual testing might be an advantage
- Excellent communication skills (verbal and written)
- Experience in working in an Agile environment and good understanding of DevOps concepts
- ServiceNow administration/Developer Certification is a plus
Shubham Vishwakarma
Full Stack Developer - Averlon
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Name of the College: KGiSL Institute of Technology
College Profile: The main objective of KGiSL Institute of Technology is to
provide industry embedded education and to mold the students for leadership in
industry, government, and educational institutions; to advance the knowledge
base of the engineering professions; and to influence the future directions of
engineering education and practice. The ability to connect to the future
challenges and deliver industry-ready human resources is a credibility that
KGISL Educational Institutions have progressively excelled at. Industry -
readiness of its students is what will eventually elevate an institution to star
status and its competitiveness in the job market. Choice of such an institution
will depend on its proximity to industry, the relevance of its learning
programme to real-time industry and the active connect that a student will have
with industry professionals.
Job Title: Associate Professor
Departments:
● CSE
Qualification:
● ME/M.Tech & Ph.D
Experience:
● Experience - 10-15 Years
Candidate Profile:
● Candidate should complete their PG & Ph.D in the relevant discipline
● Candidate should have Good Communication Skills
● Commitment towards work
PythonReview Criteria:
Mandatory:
- Strong AI Runtime Engineering (Lead / Staff) Profiles
- Must have 4+ years of software engineering experience
- Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
- Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
- Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
- Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
- Must have strong programming skills in Python, Java, C++ , etc
Preferred:
Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks
Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration
Role & Responsibilities:
As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.
What you’ll do:
Lead Runtime Design & Development:
- Own the core runtime architecture supporting AI training and inference at scale.
- Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
- Optimize distributed training reliability, orchestration, and job-level fault tolerance.
Drive Performance at Scale:
- Profile and enhance low-level system performance across training and inference pipelines.
- Improve packaging, deployment, and integration of customer models in production environments.
- Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.
Build Internal Tooling & Frameworks:
- Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
- Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
- Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.
Collaborate & Mentor:
- Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
- Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.
Ideal Candidate:
- 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
- Experience in delivering PaaS services.
- Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
- Strong programming skills in Python and C++ (Go or Rust is a plus).
- Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
- Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
- Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.
Java
Amazon Web Services (AWS)Key Responsibilities:
• Design, develop, and maintain Java-based applications using best practices and modern frameworks.
• Integrate and manage AWS services such as EC2, S3, RDS, Lambda, and CloudFormation.
• Develop RESTful APIs and microservices architecture to support scalable and robust applications.
• Implement CI/CD pipelines using tools like Jenkins, Git, and Docker to automate deployment processes.
• Monitor and troubleshoot application performance, defect triaging, and reliability issues, providing timely support and resolution.
• Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality software.
• Conduct code reviews and ensure adherence to coding standards and best practices.
• Stay updated with the latest industry trends and AWS services to continuously improve our technology stack.
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5-7 years of experience in Java development, with a strong understanding of object-oriented programming and design patterns.
• Proficiency in AWS services such as EC2, S3, RDS, Lambda, CloudFormation, etc.
• Experience with Spring Boot and other Java frameworks.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with containerization technologies like Docker and Kubernetes.
• Experience with CI/CD tools and processes.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.
Java- 5+ Years Java/JEE development experience in an enterprise.
- 3+ Experience in #Grails Web Framework and #Groovy Language.
- Must have experience integrating Grails code with front-end JavaScript frameworks including Jquery.
- Must have experience working with XML and JSON using Grails, JMS and Web, services, XML, Apache Tomcat, SQL and Unix and GIT.
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Exp 1 to 8 yrs. Ctc 4 to 20 lpa
A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen's attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. A malware analyst is sometimes called a reverse engineer.
Security product companies, in industries such as anti-virus or network intrusion prevention, may hire malware analysts to develop ways of blocking malicious code. Large organizations in non-security industries may also hire full-time malware analysts to help protect their environment from attacks, or to respond to incidents that involve malicious software. Malware analysis skills are also valued by companies that cannot justify hiring full-time people to perform this work, but who wish their security or IT administrators to be able to examine malicious software when the need arises.
.NET
C#IoT backend - * Good work experience in C#.Net, Asp.Net Web APIs, Microservices
* Good development work experience in Azure: AppServices, Functions, Authentication, Consuming and leveraging Azure SAAS services, IoT services, MQTT, IoT Hub, Working with schema less databases, Timeseries database, etc
* Good experience in MS SQL
# Good to have is some development experience in front-end technologies JavaScript, Angular, React, etc
Software Development Manager
Full Time, Permanent
What You Will Need:
- 8+ years of experience as an engineer or a lead - solving real world customer problems.
- BE / B.Tech / M.Tech - preferably in Computer Science
- Strong background in building backend technologies over distributed systems.
- Hands on experience in building platforms, technologies, and systems for products they have worked on.
- Proven track record of building and managing high performing engineering teams.
- The ability to convince, negotiate and work with equally competent and smart stakeholders.
- Experience building complex technical solutions - highly scalable service-oriented architectures, distributed cloud-based systems - which power our fintech products.
- Proven ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.
- Comfortable to work in a fast paced, evolving work environment
- Act as an entrepreneur - taking ownership of the problem statement end-to-end.
- Deliver best products from all engineering aspects like designing, architecting across multiple product lines.
- Lead a diverse team of high performing engineers - who set new standards everyday.
- Be a great engineer yourself - to be able to hire, mentor, and grow the engineering team.
- Handle multiple competing priorities and ambiguity - all in a fast-paced, high growth environment.
- Direct and provide ongoing leadership for a team of individual contributors, set objectives, review performances, define growth plan and nurture
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
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.
React.jsJavascriptHTML/CSS
Vue.js
Angular (2+)About us:
At Priori Capital, we are building The financial SaaS for the Businesses operating with digital assets by empowering the teams to operate in an effective, efficient and error-free manner by bringing all things finance on one platform. We aim to solve digital asset management for institutions offering cryptographic security, user management setup and secure access to the blockchain ecosystem.
We’re looking for someone passionate about driving innovation and solving exciting problems.
What are you joining:
- We are currently in a fast-paced growth environment where the only constant is evolution!
- Our team includes individuals with experience in internationally known blockchain and fintech companies like Polygon (Matic), udaanCapital, Iris, Infosys, Cognizant etc.
- We are an early stage start-up with funding from founders of Polygon and a part of the Kira community.
What will you do:
- Design to simplify the complexity - Work with our designers to simplify the systems that are working across chains, protocols or existing financial systems.
- Build for the future of finance - Build, deploy and come back to the whiteboard with the core team to innovate, ideate and scale solutions.
- Own your ship - Be responsible to build framework components, own the development process and drive the development cycle to improve transparency and productivity across the team.
What are we looking for:
- 2+ years of experience in Frontend Engineering building scalable web applications: Experience in web3/fintech is not a mandate to apply. You learn as you go!
- You should be good at your game: Detailed oriented and have a thorough knowledge of JavaScript, HTML5 and CSS3 & hands-on experience with either of VueJS, Angular, React OR similar.
- You have a strong bias for action: You seek problems. If you see one, you find the solution. If you have one, you should be already building it. If it fails, you move to the next!
- You want to grow but together: You want to learn and master new skills by tackling new problems with the team
We are more excited if you have this:
- Knowledge of Git, GraphQL, Flux, Webpack, etc.
- Good at analytical problem solving, know-how of core computer science and algorithms.
- Interested in blockchain or finance.
- Experience in Fintech or Web3 Applications
Benefits:
- Learn from the best!
- Work from wherever
- Self-managed leave policy
- Focus on Work-life Balance
- Learning Budget to hone a skill or learn new ones
- Be a part of the fast-growing environment
- Competitive Salary
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon