11+ System monitoring Jobs in Chennai | System monitoring Job openings in Chennai
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This role is for Work from the office.
Job Description
Roles & Responsibilities
- Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
- Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
- Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
- Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
- Analytics and analysis of data and provide insights and recommendations
- Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
- Work with the product team in developing new features, identifying solution gaps, etc.
- Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.
Skills & Experience
- At least 2+ years of experience in IT Infrastructure Management
- Experience in working with large-scale IT infra, including applications, databases, and networks.
- Experience in working with monitoring tools, automation tools
- Hands-on experience in Linux and scripting.
- Knowledge/Experience in the following technologies will be an added plus: ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.
Position: Regional sales Manager – Laminates/Sunmica
Locations: Bangalore, Chennai, Ranchi, Kolkata, Rajasthan, Gujarat (Ahmedabad, Vadodara), Uttar Pradesh (Lucknow, Varanasi, Aligarh), Delhi, Jaipur
Experience: 8+ Years in Laminates/Sunmica Sales
Industry: Building Materials / Interior Products / Laminates & Decorative Surfaces
Key Responsibilities:
- Identify, develop, and manage new business opportunities in the Laminates/Sunmica market.
- Build and strengthen relationships with dealers, distributors across assigned territories.
- Plan and execute sales strategies to achieve monthly and quarterly targets.
- Conduct regular market visits in Gujarat, Rajasthan, Delhi, and UP to expand dealer/distributor network.
- Monitor competitor activities, pricing, and marketing strategies.
- Ensure effective order fulfillment, payment follow-up, and after-sales support.
- Collaborate with the marketing and product teams to align customer feedback with product offerings.
Key Requirements:
- Minimum 8 years of experience in business development/sales of laminates, sunmica.
- Proven success in managing territory sales and dealer/distributor development in the listed regions.
- Strong contacts and network in trade channels (distributors/retailers).
- Excellent communication, negotiation, and interpersonal skills.
- Willingness to travel extensively within the assigned states/cities.
Mail updated resume with current salary-
Email: etalenthire[at]gmail[dot]com
Satish: 88O 27 49 743
JOB DESCRIPTION:
Role: GRC Consultant
(1–7 Years Experience)
📍 Location: Anna Salai, Mount Road, Chennai, India
🕒 Full-Time |On-site
Pentabay Software Solutions, a fast-growing IT services company based in Chennai, is hiring a GRC Consultant with 1–4 years of experience in cloud security and GRC (Governance, Risk & Compliance). This is an exciting opportunity for early-career professionals to work with modern cloud platforms, global clients, and industry-standard security frameworks.
🔑 Key Responsibilities
Secure Cloud Infrastructure
Design and deploy secure environments ensuring alignment with HIPAA, GDPR, PCI DSS, PHI, and PII standards.
Firewall & Endpoint Protection
Manage and configure firewalls, WAFs, and endpoint security solutions to protect cloud and hybrid infrastructures.
GRC & Compliance Support
Contribute to Governance, Risk, and Compliance (GRC) initiatives by helping develop and implement policies, assess risks, maintain audit trails, and support compliance reporting.
Security Audits & Risk Assessments
Assist in vulnerability assessments, penetration tests, and audits to identify and remediate risks, ensuring continuous improvement of security posture.
✅ Required Skills & Qualifications:
- 1–7years of experience in cybersecurity, cloud security, or related areas.
- Working knowledge of GRC frameworks, including policy creation, risk identification, and compliance reporting.
- Understanding of HIPAA, GDPR, PCI DSS, and data protection best practices.
- Familiarity with firewall management, network segmentation, and endpoint protection tools.
- Hands-on expertise with cloud platforms: AWS, Azure, GCP.
- Experience working with Canadian or international clients is an added advantage.
- Strong analytical mindset and good written and verbal communication skills
About Moative
Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.
We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Work you’ll do
As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.
You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.
As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.
The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.
Responsibilities
- Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
- Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
- Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
- Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
- Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
- Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.
Who you are
You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.
Requirements and skills
- 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
- Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
- Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
- Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
- Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
- Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.
Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.
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.
Job Description:
We are looking for a full-stack Python Django developer to work on the latest technologies for global education. You’ll be part of a cross-functional team responsible for the entire software development life cycle, from conception to deployment.
As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks, and third-party libraries. With problem-solving approaches and rigorous thinking abilities, we are looking for a learner who may not know all the answers but are obsessive about finding them and know exactly where to look for them.
“If you’re also familiar with Agile methodologies, we’d like to meet you."
Why you should work with us:
Culture:
- Fun and learning environment
- Interact with stakeholders and clients from day one on a project
- Work with professionals across the globe from marketing, to technology, and learn problem-solving from their experiences.
Technology exposure:
- Exposure to the latest technologies like AWS Cloud Platform, Python Programming, and DevOps Processes.
- Opportunity to work in Cloud-based Data Integration Solutions and Products.
- Building our products and solutions on the latest technologies like Python, Django, AWS & Google Cloud, and Microservices.
- Serverless services like AWS Lambda, SQS, SNS, DynamoDB, etc.
- Container-based applications i.e. Microservices built on Dockers, we also use AI for data analytics and reporting.
- Work with agile methodology.
Benefits:
- 5-day working week
- No location constraints
- Competitive salary
- Stable work environment
You are suitable if, you:
- Have 2+ yrs of Python experience.
- Have 2 yrs of experience in Django-powered web/mobile apps.
- Extensive experience in Full-Stack application design and development using Python.
- Have hands-on experience in HTML, JS, Bootstrap, Angular, and server-side APIs integration.
- Have worked on Agile projects
- Have a learning attitude, and excellent communication & interpersonal skills.
- Have the ability to work both in teams and individually.
Job Description:
• At least 4+ years of hands-on experience on solution architecture, integration of solutions.
• Strong experience in the following domains: Java EE including (Web Services, REST,JPA), Spring, SOA, Design patterns, Unit and Integration test cases frameworks,Database (SQL & No SQL)
• Knowledge and experience with CI/CD tools and API usage in Mobile applications
• Able & willing to work hands on both solutions & development
• Able to coach / guide the junior members
- Writing queries used for front- end applications (websites, desktop applications)
- Designing and coding database tables to store the application data
.- Data modeling to visualize database structure.
- Reviewing query performance and optimizing code.
We are looking for a dedicated recruiter to join our HR team in identifying hiring needs and filling job openings.
The responsibilities of a recruiter include identifying future hiring needs, designing job descriptions, sourcing candidates through databases and social media, conducting interviews, filing paperwork, and keeping abreast of employment law and legislation.
You should also monitor new and existing employees and act as their advocate.
A successful recruiter has excellent interpersonal skills, is organized and detail-oriented, remains up-to-date with employment legislature, and keeps informed in company hiring and internship programs.
A good recruiter can assess candidates' skills, experience and relevant knowledge and compare them to job requirements.
Recruiter Responsibilities:
- Identifying future hiring needs and developing job descriptions and specifications.
- Collaborating with department managers to compile a consistent list of requirements.
- Attracting suitable candidates through databases, online employment forums, social media, etc.
- Conducting interviews and sorting through applicants to fill open positions.
- Assessing applicants' knowledge, skills, and experience to best suit open positions.
- Completing paperwork for new hires.
- Promoting the company's reputation and attractiveness as a good employment opportunity.
- Managing internship programs.
- Keeping up-to-date on current employment legislation and regulations and enforcing them within the company.
- Providing recruitment reports to team managers.
Recruiter Requirements:
- Any bachelor's degree.
- The ability to conduct different types of interviews.
- Experience with recruitment processes and databases.
- The ability to design and implement recruiting strategies.
- Excellent communication skills.
- Good interpersonal skills.
- Good decision-making skills.
- A working knowledge of employment law and legislation.
Location: Chennai
Job Type: Permanent
Experience: 4+ Years
Job Description
- Develop and implement test plans and procedures using the testing tools
- Hands on Experience with web application testing.
- Experience with test automation for web using tools such as Selenium using Ruby/Java
- Good knowledge of working with PostgreSQL
- Good knowledge of writing test cases in Zephyr scale (JIRA)
- Good knowledge using Postman API
- Good knowledge of GitHub
- Knowledge in Cucumber with Ruby is added advantage
- Should have worked with Agile technology


