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We are looking for a Content enthusiast to join our fast-growing EdTech brand. You will assist in creating, managing and improving content for various marketing channels. You will work on assets that create sales conversions, website, mobile app, direct user communications, and engagement campaigns and will analyze the performance of those assets in detail, crunch the numbers, and optimize them.

Our ideal candidate is a driven professional with demonstrable creative writing skills and also has a knack for data analysis. You should have the willingness to broaden your expertise and go the extra mile. As a content manager for a fast-paced EdTech brand, you should be tech-savvy, a critical thinker and problem-solver, and demonstrate a passion for growth and success.

Ultimately, you should be able to assist in overseeing all marketing content to ensure sales conversions, brand consistency, and a positive customer experience.

Responsibilities

• Work alongside copywriters, UI/UX designers, graphic designers, and team members from other departments to create and deliver assets
• Manage content distribution to online and offline channels 
• Proofread, edit and improve content created by copywriters and ensure brand consistency
• Develop a thorough understanding of conversion optimization and apply it across our brands, platforms, and channels
• Analyze performance data and find creative ways for optimization
• Ensure compliance (e.g. copyright and data protection)

Requirements

• Excellent writing skills 
• Good command on English and Hindi
• Good organizational and time-management skills
• Ability to multi-task and follow deadlines
• Willingness to learn skills outside of comfort zone
• Not afraid of challenges and hard work
• Reliable team player with a sense of ownership
• Attention to detail
• Willingness to grow in a fast-paced environment
• Ability to take initiative
• Hands-on experience with MS Office, particularly Excel

Impeccable English, good communication skills, a humble and cooperative attitude, and lots of hard work are the other expectations of the firm.

We are a hardcore, fast-growth-focused environment and a place where only dedicated, stable, dependable individuals who are willing to immerse themselves completely in this cause can thrive.

This is a full-time work-from-office role based out of Gurgaon.

If you're extremely driven to succeed and grow and willing to go the distance, please apply.

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

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.

Roles and Responsibilities:

• Independently analyze, solve, and correct issues in real time, providing problem resolution end-

to-end.

• Strong experience in development tools, CI/CD pipelines. Extensive experience with Agile.

• Good proficiency overlap with technologies like: Java8, Spring, SpringMVC, RESTful web services, Hibernate, Oracle PL/SQL, SpringSecurity, Ansible, Docker, JMeter, Angular.

• Strong fundamentals and clarity of REST web services. Person should have exposure to

developing REST services which handles large sets

• Fintech or lending domain experience is a plus but not necessary.

• Deep understanding of cloud technologies on at least one of the cloud platforms AWS, Azure or Google Cloud

• Wide knowledge of technology solutions and ability to learn and work with emerging technologies, methodologies, and solutions.

• Strong communicator with ability to collaborate cross-functionally, build relationships, and achieve broader organizational goals.

• Provide vision leadership for the technology roadmap of our products. Understand product capabilities and strategize technology for its alignment with business objectives and maximizing ROI.

• Define technical software architectures and lead development of frameworks.

• Engage end to end in product development, starting from business requirements to realization of product and to its deployment in production.

• Research, design, and implement the complex features being added to existing products and/or create new applications / components from scratch.

Minimum Qualifications

• Bachelor s or higher engineering degree in Computer Science, or related technical field, or equivalent additional professional experience.

• 5 years of experience in delivering solutions from concept to production that are based on Java and open-source technologies as an enterprise architect in global organizations.

• 12-15 years of industry experience in design, development, deployments, operations and managing non-functional perspectives of technical solutions.

e are looking for a strong mobile app developer who welcomes both engineering and maintenance tasks. The primary focus will be to implement new user interfaces and features together with automated unit and integration tests.
You will be working with our candid and collaborative team, where your knowledge and advice about application architecture and the newest mobile technologies will be highly appreciated. The code you write will need to be cleanly organized and of the highest quality. You’ll also help ensure solid application performance and an excellent user experience.

Skills and Qualifications
Deep Knowledge in Flutter with 2+ years of active development.
Extensive knowledge about mobile app development. This includes the whole process, from the first line of code to publishing in the store(s)
Familiarity with RESTful APIs and mobile libraries for networking
Familiarity with the JSON format
Experience with profiling and debugging mobile applications.
Familiarity with Git, Firebase and push notifications systems
Duties and Responsibilities
Developing new features and user interfaces from wireframe models
Ensuring the best performance and user experience of the application
Fixing bugs and performance problems
Writing clean, readable, and testable code
Cooperating with back-end developers, designers, and the rest of the team to deliver well-architected and high-quality solutions.
Knowledge on native android and ios development would be an added advantage.

1. Create all graphical requirements to support Paid Ads, Social Media, SEO, Email Marketing efforts and offline ads - brochures, flyers etc.
2. Includes work like creating single image ads/carousel ads for FB/Instagram/LinkedIn Ads, creating video ads for YouTube/Facebook Ads, Emailer designs, basic UI design for landing pages, website images/banners etc, create brochures, flyers etc for offline ads
3. Tool Knowledge: Any vector design tool, any video editor etc. Adobe Illustrator, Adobe Photoshop/Creative Suite, Final Cut Pro, Adobe Premiere, Adobe Indesign, Invisio etc.