Backend developer

Role Overview:

As a Backend Developer at LearnTube.ai, you will ship the backbone that powers 2.3 million learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

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What You'll Do:

At LearnTube, we’re pushing the boundaries of Generative AI to revolutionise how the world learns. As a Backend Engineer, you will be building the backend for an AI system and working directly on AI. Your roles and responsibilities will include:

• Ship Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves:

• 2+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Go / Rust for high-perf services
• Observability: Prometheus, Grafana, OpenTelemetry

About Us: 

At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

• AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
• Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.

Meet the Founders: 

LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes. We’re proud to be recognised by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.

Why Work With Us? 

At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

• Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
• Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
• Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
• Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
• Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
• Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.

About Verix

Verix is a platform for verification, engagement, and trust in the age of AI. Powered by blockchain and agentic AI, Verix enables global organizations—such as Netflix, Amdocs, The Stevie Awards, Room to Read, and UNICEF—to seamlessly design, issue, and manage digital credentials for learning, enterprise skilling, continuing education, compliance, membership, and events.

With dynamic credentials that reflect recipient growth over time, modern design templates, and attached rewards, Verix empowers enterprises to drive engagement while building trust and community.

Founded by industry veterans Kirthiga Reddy (ex-Meta, MD Facebook India) and Saurabh Doshi (ex-Meta, ex-Viacom), Verix is backed by Polygon Ventures, Micron Ventures, FalconX, and leading angels including Randi Zuckerberg and Harsh Jain.

What is OptimizeGEO?

OptimizeGEO is Verix’s flagship product that helps brands stay visible and discoverable in AI-powered answers.

Unlike traditional SEO that optimizes for keywords and rankings, OptimizeGEO operationalizes AEO/GEO principles ensuring brands are mentioned, cited, and trusted by generative systems (ChatGPT, Gemini, Perplexity, Claude, etc.) and answer engines (featured snippets, voice search, and AI answer boxes).

Role Overview

We are hiring a Backend Engineer to build the data and services layer that powers OptimizeGEO’s analytics, scoring, and reporting.

This role partners closely with our SEO/AEO domain experts and data teams to translate frameworks—gap analysis, share-of-voice, entity/knowledge-graph coverage, trust signals—into scalable backend systems and APIs.

You will design secure, reliable, and observable services that ingest heterogeneous web and third-party data, compute metrics, and surface actionable insights to customers via dashboards and reports.

Key Responsibilities

• Own backend services for data ingestion, processing, and aggregation across crawlers, public APIs, search consoles, analytics tools, and third-party datasets.
• Operationalize GEO/AEO metrics (visibility scores, coverage maps, entity health, citation/trust signals, competitor benchmarks) as versioned, testable algorithms.
• Design & implement APIs for internal use (data science, frontend) and external consumption (partner/export endpoints), with clear SLAs and quotas.
• Data pipelines & orchestration: batch and incremental jobs, queueing, retries/backoff, idempotency, and cost-aware scaling.
• Storage & modeling: choose fit-for-purpose datastores (OLTP/OLAP), schema design, indexing/partitioning, lineage, and retention.
• Observability & reliability: logging, tracing, metrics, alerting; SLOs for freshness and accuracy; incident response playbooks.
• Security & compliance: authN/authZ, secrets management, encryption, PII governance, vendor integrations.
• Collaborate cross-functionally with domain experts to convert research into productized features and executive-grade reports.

Minimum Qualifications

• 4–8 years of experience building backend systems in production (startups or high-growth product teams preferred).
• Proficiency in one or more of: Python, Node.js/TypeScript, Go, or Java.
• Experience with cloud platforms (AWS/GCP/Azure) and containerized deployment (Docker, Kubernetes).
• Hands-on with data pipelines (Airflow/Prefect, Kafka/PubSub, Spark/Flink or equivalent) and REST/GraphQL API design.
• Strong grounding in systems design, scalability, reliability, and cost/performance trade-offs.

Preferred Qualifications (Nice to Have)

• Familiarity with technical SEO artifacts: schema.org/structured data, E-E-A-T, entity/knowledge-graph concepts, and crawl budgets.
• Exposure to AEO/GEO and how LLMs weigh sources, citations, and trust; awareness of hallucination risks and mitigation.
• Experience integrating SEO/analytics tools (Google Search Console, Ahrefs, SEMrush, Similarweb, Screaming Frog) and interpreting their data models.
• Background in digital PR/reputation signals and local/international SEO considerations.
• Comfort working with analysts to co-define KPIs and build executive-level reporting.

What Success Looks Like (First 6 Months)

• Ship a reliable data ingestion and scoring service with clear SLAs and automated validation.
• Stand up share-of-voice and entity-coverage metrics that correlate with customer outcomes.
• Deliver exportable executive reports and dashboard APIs consumed by the product team.
• Establish observability baselines (dashboards & alerts) and a lightweight on-call rotation.

Tooling & Stack (Illustrative)

• Runtime: Python / TypeScript / Go
• Data: Postgres / BigQuery + object storage (S3 / GCS)
• Pipelines: Airflow / Prefect, Kafka / PubSub
• Infra: AWS / GCP, Docker, Kubernetes, Terraform
• Observability: OpenTelemetry, Prometheus / Grafana, ELK / Cloud Logging
• Collab: GitHub, Linear / Jira, Notion, Looker / Metabase

Working Model

• Hybrid-remote within India with periodic in-person collaboration (Bengaluru or mutually agreed hubs).
• Startup velocity with pragmatic processes; bias to shipping, measurement, and iteration.

Equal Opportunity

Verix is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Title: Lead Java Developer

Experience Required: 7+ Years

Location: Mumbai

About the Role

We are seeking a highly skilled Senior Backend Developer with deep expertise in building scalable, high-performance applications. The ideal candidate will have strong hands-on experience with Java, Spring Boot, Microservices, and distributed systems. You will play a key role in designing and optimizing APIs, architecting robust systems, and collaborating with cross-functional teams to deliver innovative solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend systems using Java, Spring Boot, and Microservices architecture.
• Build and optimize APIs for large-scale applications ensuring high performance and reliability.
• Apply clean coding principles, SOLID design patterns, and clean architecture to deliver maintainable and robust code.
• Work with distributed systems technologies (Kafka, ELK, in-memory databases, Cassandra, or similar).
• Write efficient SQL queries and integrate with relational and NoSQL databases.
• Collaborate with product managers, architects, and other developers to define and align on technical decisions.
• Identify and solve complex problems with innovative and scalable solutions.
• Drive best practices in coding standards, system design, and performance optimization.
• Communicate complex technical concepts clearly across teams and stakeholders.

Skills & Qualifications

• 7+ years of experience as a Backend Developer.
• Strong expertise in Java, Spring Boot, Microservices, SQL.
• Significant experience in API design and optimization for enterprise-scale applications.
• Proficiency in distributed systems & related technologies (Kafka, ELK, in-memory DBs, Cassandra, etc.).
• Strong understanding of object-oriented engineering principles (SOLID, clean architecture).
• Excellent problem-solving and analytical skills with the ability to simplify complex concepts.
• Strong communication and collaboration skills, with the ability to influence and align teams.

• 2+ years of experience in Python, Django, Mongo, Express, MySQL, etc
• Have built applications capable of serving high volume with low latency in production
• Following practices of agile development with continuous integration/deployment
• Experience in deploying applications in AWS cloud
• Knowledge in building applications for Fintech/payments domain is a bonus
• Bachelor’s or Master’s degree in CS or equivalent from a reputed institution
• Self-starter, hustler, and a desire to achieve greatness is a MUST
• Immediate joining preferred
• You will have the flexibility to design the application and systems from the ground up.
• Your primary responsibility is to implement business logic in the backend and create awesome restful APIs for seamless integration with our mobile front end.

Affinsys is a Cognitive CX platform that combines Human & AI realms to help businesses with  customer experience management, hyper-personalization & operations automation. With laser sharp focus on Customer Experience automation for financial services, we use Deep learning, NLP, computer vision, big data, recommendation system & speech analytics fused with our domain knowledge of working with 100's of banks across 50 countries to help financial institutions shift : from legacy to latest channels (Embedded Financial services), from transactions to goal based journeys (Personalized customer experience), from reactive service provider to proactive advisor (Robo/AI based advisory), from silos to ecosystem (Open banking).

• Well versed in Core Java, OOPs concepts, collections, multi-threading, concurrency, lambdas, and streams.
• Hands-on knowledge of Spring Core, MVC, JPA, Security, transaction
• Working knowledge of REST API designing as well as development, using Spring.
• Exposure to Spring Boot, Docker, Kubernetes, OpenShift for the microservices environment.
• Savvy with SQL and database concepts.
• Ability to use frameworks like JUnit, Mockito, etc., for implementing unit testing.
• Sound understanding of code versioning tools, such as Git/bit bucket with Maven.
• Should have worked in a CI/CD environment with TeamCity/Jenkins.

About us:

NetCracker Technology, a subsidiary of NEC Corporation, is the leading provider of BSS/OSS solutions to service providers around the world. From billing, customer care, and real-time charging and policy solutions, to resource and network management, service fulfillment & assurance, our comprehensive software and services capabilities enhance the customer experience through content-rich offerings and reduced costs.

NetCracker's innovative end-to-end BSS/OSS solutions enable service providers to operationalize next-generation connectivity, maximize the convergence of Network and IT, monetize content, and deliver a compelling customer experience.

Founded in 1993, NetCracker became a subsidiary of NEC Corporation in 2008 and acquired the Convergys Information Management division in 2012. We are CMML 5, Product based company. 

Job Responsibilities:

• Work as a member of development team towards the Product Suite
• Estimating efforts and duration on development
• Involved in solution implementation projects
• Interaction with Business Analysts, Quality Assurance and Customer Support teams
• Provide expertise and best practices on technical aspects of product development and implementation projects including performance
• Introduce new development technologies, instruments and techniques

Job Requirements:

• Experience in writing technical design and development of the application
• Good understanding and hands-on work experience in Core Java/J2EE & concepts such as OOPS, multithreading, Collections, Concurrency, Exception Handling, JDBC, File I/O, XML APIs etc
• Should have worked on Java 1.8
• Design skills –Design Patterns, hands on in restful services
• Working experience on spring core
• Hands on in writing complex SQL queries
• Knowledge of web-services (REST and SOAP);
• Familiarity with NOSQL [eg. Mongo DB] is preferred;
• Familiarity with message queues like Kafka.
• Know-how on containerization applications like Docker, Kubernetes is preferred.
• Proficient understanding of code versioning tool – SVN.
• Hands-on experience in writing Unit tests using Junit.
• Working experience in Jenkins, Maven, SonarQube.
• Experience in tuning applications based on Performance tests/ Load tests/ Stress tests is preferred.
• Knowledge of development lifecycle, standards, approaches, utilities and environment: shells, IDEs.
• Familiarity with JIRA / JQL is an added advantage 

Experience:

• 5 to 11 years of core development / Product experience

Education:

• BE/Btech/MCA