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Role Description
Key Responsibilities:
- Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
- Handle password resets, account access, and user management (Active Directory)
- Install/configure laptops, desktops, printers, and software
- Perform basic network troubleshooting (Wi-Fi, VPN, DNS)
- Log and track issues in ServiceNow/Jira and meet SLA timelines
- Escalate complex issues to L2 teams
- Support user onboarding/offboarding and system setup
- Maintain basic documentation and SOPs
Required Skills:
- Strong 2-3 years of experience in IT Support / Helpdesk / Desktop Support
- Good knowledge of Windows OS (10/11) and Microsoft Office 365
- Basic exposure to AWS is mandatory.
- Basic knowledge of Active Directory, networking, and security concepts
- Exposure to Linux/Unix environments (basic level)
- Familiarity with ticketing tools (ServiceNow, Jira, etc.)
- Basic understanding of programming/scripting (Java, Python, etc.) is a plus
- Experience in fast-paced or SaaS environments is an advantage
- Strong communication skills (English) and problem-solving ability

About the Role
We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor. The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production.
The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows, along with excellent problem-solving and client-facing skills.
Key Responsibilities
Forward Deployed Engineering
- Work directly with clients and stakeholders to understand business and technical requirements.
- Translate business problems into scalable technical and data solutions.
- Rapidly prototype, test, iterate, and productionize solutions.
- Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
- Troubleshoot production issues and continuously improve deployed solutions.
- Act as a technical bridge between clients and internal engineering teams.
Databricks & Data Engineering
- Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
- Build and optimize ETL/ELT and data processing pipelines.
- Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows.
- Develop data ingestion and transformation pipelines for structured and semi-structured data.
- Optimize Databricks workloads for performance, scalability, reliability, and cost.
- Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.
Cursor & AI-Assisted Development
- Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
- Effectively use AI coding assistants to understand existing codebases and develop new features.
- Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code.
- Use AI-assisted development for rapid prototyping and proof-of-concept development.
- Work with modern AI/LLM APIs and tools where required for customer solutions.
- Stay current with emerging AI-assisted software engineering practices.
Production & Deployment
- Develop production-ready applications, APIs, and data pipelines.
- Work with Git, CI/CD, APIs, containers, and cloud environments.
- Monitor application and pipeline performance and resolve production issues.
- Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
- Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.
Required Skills & Experience
- 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field.
- Strong hands-on experience with Databricks.
- Strong proficiency in Python, PySpark, and SQL.
- Experience with Delta Lake and Lakehouse architecture.
- Experience building production-grade data pipelines.
- Hands-on experience with Cursor or similar AI-powered coding assistants.
- Strong understanding of REST APIs and system integrations.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong debugging, problem-solving, and analytical skills.
- Excellent communication and client-facing abilities.
Preferred Skills
- Experience with Databricks Unity Catalog, Workflows, and MLflow.
- Experience with Generative AI / LLM applications.
- Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms.
- Experience with RAG, vector databases, embeddings, or AI agents.
- Experience with Docker, Kubernetes, and CI/CD.
- Experience in a consulting, customer-facing engineering, or professional services environment.
- Exposure to Agile/Scrum methodologies.
Key Competencies
- Strong problem-solving and ownership mindset
- Ability to work in ambiguous and fast-paced environments.
- Strong client/stakeholder management skills.
- Ability to understand business requirements and convert them into technical solutions.
- Strong communication and presentation skills.
- Ability to rapidly learn new technologies and tools.
- Comfortable working with AI-assisted development while maintaining high engineering standards.
Education
- Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline.
Why this role exists
Our infrastructure footprint is growing faster than our headcount, and we believe most of that
gap should be closed by automation and AI agents — not by hiring more humans to do toil. We
need someone early in their career who treats manual work as a bug, ships scripts and agents
instead of tickets, and wants to grow into deeper ownership over the next two years.
You will not be the most senior person on the team. You will be the one who multiplies the team.
What you'll own
In your first 1 months
• Take ownership of one slice of our CI/CD pipeline and make it measurably
faster, more reliable, or cheaper. We expect a number on a dashboard to move.
• Build at least three internal automations that replace manual ops toil —
using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force
multiplier.
• Be the first responder for a defined set of alerts. Write the runbooks. Drive
the alert volume down.
• Support senior engineers on AI/ML infrastructure (GPU nodes, inference
services, model deployment) — observe, document, and gradually take on contained
changes under review.
By 3 months you should be
• The go-to person for at least two production systems.
• Shipping routine infrastructure changes without needing senior review.
• Treating "manual" as a code smell.
Required (we will reject without these)
• 0–3 years hands-on experience with one major cloud (AWS, GCP, or
Azure — one is fine, depth beats breadth).
• Fluent in Linux command line, bash, and at least one scripting language
(Python or Go preferred).
• Have shipped something to production that real users hit. A side project
counts; a graded coursework lab does not.
• Comfortable with Docker — you can explain what an image vs. a
container is and why it matters.
• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,
TLS, ports, basic subnets — enough to debug "it works on my machine."
• Git fluency: branches, merges, rebases, conflict resolution.
• CI/CD pipelines — you have authored or substantially modified pipelines
in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."
• Kubernetes basics — kubectl for real work, can read pod logs,
understand deployments and services, can debug a CrashLoopBackOff without
panicking. You do not need to have run a cluster; you do need to have lived inside one.
• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic
CLIs, etc.). You should be able to walk us through specific tasks where they made you
faster, and specific tasks where they failed you and how you noticed. "I have tried it" is
not enough.
Bonus (real plus, not required)
• Infrastructure as Code: Terraform, Pulumi, or Ansible.
• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.
• Have built or extended an LLM-based agent — a custom MCP server, a
scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond
chat-with-Claude.
• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or
ML pipelines.
What we don't care about
• Whether your degree is in CS — or whether you have a degree at all.
• Brand-name companies on your resume.
• Certifications. They are fine. They do not substitute for having shipped.
How we work
• We default to automation. If you do something manually twice, the third
time you script it or hand it to an agent.
• AI agents are part of the workflow, not a novelty. Expect interview
questions about exactly how you use them — and where you have caught them being
wrong.
• Small, reversible changes beat big-bang rollouts.
• Postmortems are blameless and written down.
• We push back on each other. If you only execute, you will be unhappy
here.
How to apply
Send:
• Your resume.
• A short note (≤200 words) describing one infra or automation problem you
solved, and how AI agents factored in — or did not, and why. We read these. Generic
notes get rejected.
Internal note — delete before posting externally
• Comp band, location policy, team name, and reporting line marked
[CONFIRM] need to be filled in before this goes external.
• The Required list is intentionally tight: CI/CD and Kubernetes basics
promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The
remaining pool will skew toward people who have actually shipped infra at a startup, not
bootcamp grads or pure cloud-cert holders.
• IaC, observability, agent-building, and GPU/ML serving stay as bonus.
Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces
hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5
yrs) and raise the band.
• Screening implication: the resume screen should explicitly check for
CI/CD pipeline authorship and any K8s-touching production work. If neither is on the
resume, reject at screen. Do not waste interview slots.
• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of
active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and
screen for it in interview instead). Do not relax the "shipped to production" requirement
— that is the load-bearing filter.
Designation: Sales & Customer Service Executive (Only Chennai Candidates)
Roles and Responsibilities:
- Actively promote our range of heritage handloom sarees and clothing to potential customers who visit our website.
- Understand customer needs and communicate how the product adds value to meet those needs.
- Upsell or cross-sell additional products or services to maximize sales revenue.
- Provide personalized recommendations and suggestions based on customer preferences.
- Follow up with customers to ensure their satisfaction and encourage repeat purchases.
- Communicate with Customers both pre and post purchase - Emails, Web chats, WhatsApp Chats, Phone Call.
- Order checking and Quality Checks prior to shipping products to customers.
- Follow up with Logistics for tracking shipments, and order fulfilment.
- Make video product demos of sarees and clothes to customers who need more information.
Key Skills
- English communication skills - Oral, Telephonic and Written
- Pleasant and sweet temperament
- Systematic follow ups with customers
- 0-2 Yrs of experienced candidates can apply.
Netsuite Technical Consultant
Job Summary:
• Work closely with functional consultants for the successful implementation of the
project.
• Provide NetSuite training and technical support to end-users throughout the
implementation.
• Provide technical support to clients as and when required post-implementation.
• Should have experience on Suite talk, Suite Builder, Suite Analytics, Suite Let.
• Perform integration, configuration, data migration and user access control settings
involving NetSuite.
• Development of Scripts and Workflows to Enhance NetSuite. Create, Maintain, &
Optimize existing NetSuite customizations
Company: Altimetrik
MUST HAVE - SKILLS & EXPERIENCE:
- Around 4 +years of overall software development experience.
- Around 3 years of expertise in Go Language (aka GoLang) and SQL, with skills in data retrieval and manipulation.
- 3+ years of experience with JavaScript, including expertise in leveraging libraries like jQuery and Bootstrap, and proficiency in customizing CSS for styling and layout management.
- Experience in developing and managing Application Programming Interfaces (APIs).
- Development experience in a Linux/Unix environment, coupled with proficiency in bash scripting and Linux commands, provides a significant edge.
- Willingness to learn Perl as needed to migrate or support existing Perl applications.
- Currently a hands-on software developer, actively writing code and contributing to software development projects.
- Experience with tools and pipelines such as Rally, GitHub, Jenkins, Jira, etc. is desirable.
- Excellent troubleshooting, debugging, multi-tasking, analytical, and problem-solving skills are essential.
- Self-starter with good communication skills, fluent in English (written and verbal).
- Ability to quickly learn new technologies or skills is a must.
- Expertise with the RedHat OpenShift Container Platform.
- Expertise with Kubernetes.
- Expertise in IaC tools: Terraform, Ansible, Go
- Experience in Infrastructure provisioning, monitoring and Ops
- Expertise working with Docker or similar container technologies.
Location : Chennai
Years of Experience : 4 to 8 years +
Are you a front-end developer looking to fast-track your learning and growth? Have you looked at world class products like Asana, Notion, or Airtable, and felt “I wish I were part of the early team that built these products”?
We’re a team that has previously built and rolled out globally successful SaaS products used by tens of thousands of customers. We’re laser focused on delivering a world class new product again, and looking for an ambitious front-end engineer to join our existing team of 9 engineers.
If it excites you to think of a fast paced start-up environment, building something big from scratch, breaking down new problems, creating well structured UI components, executing on pixel perfect design, paying great attention to every little interaction detail, and doing demos of your work every Friday with a happy and passionate team, then this is the right opportunity for you.
Some of the tech problems you get to work-on as a front-end developer would include building real-time collaboration experiences across our product, building live document editing and modern spreadsheet experiences from scratch, creating flexible new Kanban-style views of work tasks, and crafting cool new UI components and interactions that we will use across our product.
About you:
- Knowledge in the following areas
- React
- SPA Framework patterns
- Hands-on experience in HTML, CSS, SASS & Object Oriented Javascript
- Worked with features provided by browsers (Caching / Storage / Compatibility etc )
Nice to have:
- Familiarity with AWS
- Experience with startups or early stage teams
- Knowledge of module bundlers like Webpack
What’s in it for me?
- Great opportunity: Rocketlane genuinely cares about everyone we hire. You’ll learn new things and grow no matter how experienced you are; you will be working with founders who have more than three decades of collective experience in building significant B2B SaaS startups.
- Great team: Work with a world-class, high-velocity team that truly embodies the values of empathy, curiosity, and customer-centricity. Check out thehttps://www.linkedin.com/feed/hashtag/?keywords=rocketlane_meet_the_team"> MTT(Meet The Team) videos on our LinkedIn.
- Great culture: An open, fun, and exciting startup culture that empowers its people to champion big problems with the freedom to think and innovate.
- Growth: You could easily and quickly transition into other sales roles you might like.
- Impact: You get to be part of a global, passionate team in a fast-paced and growth-oriented environment. The team has a work philosophy of being high on ambition, ownership, and a bias for action.
- Monetary rewards and benefits: Competitive salary, flexible leave policy, and more!
Roles and Responsibilities:
- Acquire and activate travel agents through various channels like office visits, telephone, email, social networks, events & meetings.
- Establish, grow, and maintain commercial ties with travel agents—both current and potential—in the designated territory to attract new partners for our services.
- Create a sales funnel, identify the right leads, define long-term goals, and engage in strategic business planning.
- Align sales activities with tele-sales team, product, marketing, and customer success team.
- Build in-depth understand of our products and give demos or solve product queries to convert agents.
- Attend road shows, trade fairs and other travel industry events.
- Maintain and analyse data.
- Stay updated on industry insights and opportunities for strategic planning and growth.
Experience and Skills you MUST have:
- At least 4 years sales experience in the travel industry
- Excellent communication and interpersonal skills
- Ability to build relationships
- Prior experience in acquiring travel agents or in visas or insurance is a big plus
- Proficient with using CRMs and google sheets
- Ability to handle pressure
What we are: Established in 2015, Zedbee is a start-up with IIT Madras as an R&D partner. We offer IoT enabled Energy Management Solutions for Factories and Building Management Solutions which covers energy savings, air quality, comfort, safety, security and anything a client wants the building to express. With PAN India presence, we have grown 6X times this financial year. We provide end to end solutions that includes hardware, software, cloud and visuals dashboards using ML/AI as required. Backed by investors like IAN, Keiretsu and Stanford, Zedbee’s key differentiators are:
• Data aggregator and Controller - Ease of installation (wireless & plug and play)
• Self-learning algorithms - Performance improvement with scale
• ZB IoT Platform - Expandable to new applications
What we offer:
• Exceptional opportunity to manage multiple facets of business and learn from true industry innovators.
• Be a part of an exciting team that continuously experiments new things despite being frugal.
If you are the few who get on the floor, roll up sleeves and deliver results, you are the one we are looking for!
Requirements:
• Any Diploma or Graduation, Post Graduation in Management, Marketing, Sales or similar
• Experience working with Factory Automation, Energy Management Solutions/IOT Solutions or selling any similar product to factories/ SMEs and Manufacturers across South India or Chennai.
• Good reach to SMEs of India - May be direct/Forums/Distributors/Association
• Ability to sell automation / IoT products
• Capable of managing ~ 80 - 100 leads per month with closure rate of ~ 5%
• Should have good knowledge about SaaS / Subscription business.
Job Description:
• To promote, sell and develop service offers activity to Industries focused to SMEs/Factories across India or specifically any region
• Approach customers key players to secure orders. The objective is to integrate the hardware and software products available and Automation Combine product basket while offering technically feasible solutions in Energy management systems.
• Develop long term customer relationships and maximize account penetration and customer retention.
• Generate orders and work on increasing revenue and customer base

at MirrAR Innovation Technologies Private Limited
Description
Experience: 1.5 to 3 yrs
* Hands on work experience developing in Java and J2EE
* Hands on work experience developing in JavaScript
* Extensive working experience in Springboot
* Good to have No SQL (Mongo DB) and My SQL Exposure
* Good to have experience in AWS cloud environment
* Designing, developing, troubleshooting and debugging software within a project scope ensuring that work product meets end user acceptance criteria.
* Managing self-directed assignments to resolve software defects or implement features to meet schedule commitments with a high-level of quality.
* Acquiring knowledge of industry and company standards, tools and technology with a focus on pragmatic application to business-focused software solutions through initiative and self-study
Requirements
Primary Skill Java Springboot, Java Script
Good to have Mongo Db (No Sql), My SQL and Exposure to AWS
Benefits
Salary:300000 LPA to 500000 LPA





