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Description
As a Render Technical Director (Render TD), you will be responsible for ensuring the smooth running of the rendering and lighting tools, software and workflows used on our award-winning VFX and Feature Animation shows. You will be providing front-line technical support to lighting artists, identifying inefficiencies in workflows and troubleshooting lighting scenes to enable our talented lighting artists to deliver world-class work on each show.
Our Render TDs are highly technical and demonstrate an aptitude for creative problem solving. You will regularly be required to:
- provide face-to-face support and assistance for lighting artists
- assist with the creation of technical robust setups, such as light rigs and scene templates, for use throughout our shows
- contribute to testing and provide feedback for software releases from our R&D teams that impact lighting and rendering
- help identify and resolve inefficiencies in the lighting and rendering pipeline
As well as being able to demonstrate technical skill and initiative, you will need to be an excellent communicator and be able to work enthusiastically in a highly collaborative environment. You will work closely with our Render Supervisors as well as supervisors from other departments, such as Model, Texture, Look Development and FX, to identify and highlight rendering considerations and help optimize their lighting tools and workflows. Your ability to aid communication between these departments in the reporting and resolving of issues and to accurately communicate between technical developers and non-technical artists will help you thrive in this role.
Above all, you will be working as part of a team of exceptionally talented TDs and Render Supervisors alongside our dynamic and creative R&D department, contributing to the production of exceptional VFX and Animation work on projects ranging from blockbuster epics to television dramas.
Must have:
- Previous experience in the visual effects or a related industry
- Practical experience with lighting and rendering DCCs such as Clarisse, Katana and Houdini
- Experience with path tracing renderers such as Clarisse, Renderman and Mantra
Nice to have:
- Render wrangling experience
- Look development experience
- Shader writing experience
- Python programming skills
- Experience writing tools ands scripts for the lighting pipeline
About Us
We are DNEG, one of the world’s leading VFX and animation studios for the creation of award-winning feature film, television and multiplatform content. We employ nearly 8,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London) and Asia (Bangalore, Mohali,Chennai, Mumbai).
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.
Zoho One CRM Consultant
Entering Data
Setting up pages
Information
A Zoho One CRM consultant helps businesses implement and optimize Zoho CRM and other Zoho applications. They are experts in CRM systems and best practices, and can help streamline sales, marketing, and customer service processes.
- Communicating with customers, making outbound calls to potential customers and following up on leads.
- Understanding customers' needs and identifying sales opportunities.
- Answering potential customers' questions and sending additional information per email.
- Keeping up with product and service information and updates.
- Creating and maintaining a database of current and potential customers.
- Explaining and demonstrating features of products and services.
- Staying informed about competing products and services.
- Upselling products and services.
- Researching and qualifying new leads.
- Closing sales and achieving sales targets.
1. At least 3+ years of experience in Oracle ERP/Fusion SaaS/PaaS project implementations as a technical developer
2. Completed at least 1 ERP or Oracle Cloud (Fusion) project implementations
3. Extensive Knowledge on underlying database structure for ERP/Oracle Cloud (Fusion)
4. Extensively worked on BI Publisher reports, FBDI/OTBI and Oracle Integration Cloud (OIC)
5. Have strong technical knowledge on Oracle Database SQL and PLSQL
6. VBCS development experience is an added advantage
Job Title: Java Full Stack Developer
Work Location: Bangalore, Chennai, Mysore
Experience: 5+ Years
Budget: up to 18 Lakhs
Notice Period: Immediate to 30 days
Mandatory Skills: Java, Java Script, HTML, CSS
Job Description:
A Bachelor's degree in computer science, statistics, or Engineering.
· At least 5 years of strong knowledge and experience in developing web applications using J2EE, Multi thread programming, Data structure, Junit and Mockito
· Strong knowledge in Spring Boot, Microservices, LOG4j, Spring security
· Strong Experience in Angular JS responsive frameworks. ReactJS.
· Strong knowledges in JavaScript, TypeScript, jQuery, HTML5, CSS.
· Experience working with tools like Git, Maven, Gradle.
· Demonstrate strong design and programming skills using JSON, Web Services, XML in Unix and Windows environments.
· Experience with Build Automation, Continuous Integration and Test Automation (npm, Gradle, Maven, Jenkins).
· Thorough understanding of Integrated Development Environments like Visual Studio Code, Eclipse and IntelliJ.
· Good understanding of Databases, Frameworks, Design, Algorithms, etc.
· Working knowledge with Oracle, Mongo DB databases.
· Strong agile/scrum development experience
· Experience in Cloud platforms including deploying applications in a containerized platform is preferred.
· Experience in full lifecycle with requirements to development to support.
· Excellent verbal communication skills.
· Good problem-solving skills.
WHAT WE'RE LOOKING FOR
- Bachelors or masters in software engineering, Computer Science or other relevant disciplines
- 2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
- Strong Knowledge in Python v3.x Language
- Experience in REST APIs with JSON
- Error handling and Logging
- Any DB knowledge
- Knowledge on Sumo Logic log aggregation is a plus
- Must know how to produce high quality, “Clean” code that is performant, maintainable and secure




