Become an iOS Developer (Swift).

NLP Engineers build production language systems — Indic-language models, automatic speech recognition (ASR) and synthesis (TTS), document understanding for enterprise paperwork, IVR and voice-bot stacks for Indian customer support, named-entity recognition and information extraction, and the increasingly common multimodal pipelines that fuse text with vision and speech. The work blends applied research, production engineering, and dataset craft: you train and fine-tune transformer models for low-resource Indic languages, curate parallel corpora and labeled datasets, optimize inference for cost, debug failure modes that only show up in code-mixed Hindi-English speech or in handwritten Tamil documents, and own quality SLOs that mix accuracy, latency, and fairness across 22 official Indian languages. In India through 2026, NLP is one of the highest-impact applied-AI specializations because the global English-first NLP literature transfers poorly to Indic languages — concentrated demand sits at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), the public-good NLP groups at AI4Bharat (IIT-Madras) and Bhashini (Government of India), enterprise SaaS (Freshworks, Zoho ZIA, Postman, Verloop, Haptik), fintech (Razorpay, Cred, Paytm, M2P, IDfy), and the GCCs of Microsoft, Google, Adobe, and Amazon.

Power BI Developers design, build, and maintain the BI layer that turns raw enterprise data into decision-grade dashboards for finance, operations, sales, and supply-chain teams. The core loop is: connecting heterogeneous sources via Power Query (M language), modelling star schemas with fact and dimension tables, writing DAX measures and calculated columns for time-intelligence and KPI logic, publishing to Power BI Service workspaces, enforcing row-level security policies, and tuning slow reports by reducing visual-query counts and optimising DirectQuery folding. In India, this role is the Microsoft-stack alternative to Tableau development — deeply embedded in the M365-heavy enterprises: TCS, Infosys Nia practice, Wipro's Microsoft Business Applications unit, Mahindra Group, Tata Group digital, L&T Infotech (LTIMindtree), HCL, and every banking captive running Azure Synapse or Fabric. Demand spiked in 2024-2026 as Microsoft Fabric (Lakehouse, Semantic Model, Dataflows Gen2) expanded the Power BI surface area and pushed experienced developers into the ₹18-40L band.

Keep production systems fast, available, and observable for millions of users — by writing software that automates operations, runs capacity planning, designs SLOs and error budgets, and owns the on-call rotation for critical services. The role sits between software engineering and operations: you write Go / Python / Rust code, build reliability tooling, design distributed systems for resilience, run incident response, and push back on product launches that risk SLOs. In India, SRE is a premium specialization concentrated at FAANG-IN (Google SRE Bengaluru, Amazon, Microsoft IDC, Netflix India), product unicorns (Razorpay, Flipkart, Swiggy, Dream11, PhonePe, Zerodha), and the GCCs of high-traffic US firms (Uber, LinkedIn, Atlassian, GitHub, Cloudflare, Stripe). The work overlaps with DevOps but skews more toward software engineering: reliability is a product, not a process. Senior SRE pay in India sits at the very top of the technology bracket, often above equivalent SDE-3 backend roles.

Build and operate the internal developer platform — the CI/CD pipelines, Kubernetes clusters, service mesh, secrets management, observability stack, and IaC modules — that every other engineer in the company ships on. Platform engineers turn raw cloud (AWS/GCP/Azure) into a paved road: a developer pushes code, the platform takes it from commit to canary to production with logs, metrics, and rollback baked in. In India, the role is concentrated at product unicorns (Razorpay, Zerodha, CRED, PhonePe, Swiggy), GCCs of global firms (Microsoft, Atlassian, Stripe, Walmart Global Tech), and SaaS companies scaling past 200 engineers — typically the point at which a dedicated platform team starts paying for itself in shipping velocity.

Solutions Architects are the customer-facing technical role that bridges what a product can do and what a customer actually needs. They design end-to-end deployments, integrations, and migrations on behalf of the customer's engineering team — sizing infrastructure, mapping data flows, picking the right product modules, drafting reference architectures, and partnering with sales and customer-success to win and expand accounts. The role is genuinely hybrid: it requires deep technical depth (cloud, networking, security, distributed systems) and high verbal craft (workshops, executive presentations, written design docs that survive procurement and security review). In India through 2026, Solutions Architect is one of the highest-paid customer-facing technical roles, concentrated at the GCCs of cloud vendors (AWS India, Microsoft Azure India, Google Cloud India, Oracle, IBM), enterprise SaaS companies (Salesforce India, ServiceNow, Snowflake, Databricks, MongoDB, Confluent), B2B Indian product companies (Freshworks, Postman, Atlan, Hasura, Chargebee), and the systems-integrator giants (TCS, Infosys, Wipro, Accenture) where the role sits closer to delivery. Top-tier Solutions Architects in India routinely cross ₹1Cr total comp by L6+ and the role is a common path into VP-Engineering and Field-CTO seats.

Prompt Engineers design, evaluate, and ship LLM-powered features — system prompts, RAG flows, agent orchestration, structured-output schemas, and the eval harnesses that prove a prompt is actually better. The role sits between product, applied ML, and software engineering: you write prompts the way other engineers write code, run cost-quality-latency trade-off experiments, instrument grader pipelines, and own the part of the product that the LLM actually 'speaks.' In India through 2026, the role is one of the fastest-growing AI hires — concentrated at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Atlan, Yellow.ai), product SaaS shops with a serious AI feature surface (Freshworks, Postman, Chargebee, Whatfix, Zoho ZIA), fintechs (Razorpay, Cred, Paytm), and the GCCs of Microsoft, Google, Adobe, and Salesforce. The salary band is unusually wide because the title is new and JDs vary from 'wrote one ChatGPT integration' to 'owns the eval harness for a frontier model.' Sarvam AI made several public crore-level offers to senior prompt and LLM engineers in 2025.

Kotlin Android Developers build the native apps that run on 95%+ of Indian smartphones — from UPI-payments flows at PhonePe and Paytm, to short-video feeds at MX Player and ShareChat, to streaming interfaces at Hotstar, to hyperlocal discovery at Flipkart Quick. The role demands Jetpack Compose UI, Kotlin Coroutines and Flow for async data, Room or SQLDelight for offline persistence, Retrofit + OkHttp for API contracts, and Hilt/Dagger 2 for dependency injection. India is the world's second-largest Android market by volume; nearly every consumer-internet product company (Zomato, CRED, Meesho, Truecaller, Dream11, Razorpay) runs a dedicated Kotlin Android team, and the combination of massive user base with high traffic variance (festival sales, IPL, exam results) produces engineering challenges that top global roles rarely match.

Senior: ₹60.0L

Design, build, test, and maintain backend systems and enterprise applications using Java, Spring Boot, and the broader JVM stack. Day-to-day work includes writing REST APIs, modeling data with JPA/Hibernate, tuning JVM and SQL performance, integrating message queues (Kafka, RabbitMQ), debugging production issues across microservices, and reviewing teammates' pull requests. In India, Java is the single most-listed backend skill at TCS, Infosys, Wipro, Cognizant, Accenture, and HCL — plus product companies like Razorpay, Flipkart, Swiggy, PhonePe, and the GCCs of Goldman Sachs, JPMorgan, Walmart Global Tech, and Morgan Stanley. The combination of mature tooling, strict typing, and decades of enterprise adoption keeps Java the default choice for banking, payments, telecom, and logistics backends across the country.

Senior: ₹55.0L

Design, build, test, and ship native iOS applications using Swift, SwiftUI, and UIKit — apps used by India's premium 4-5% smartphone market and by international users of Indian-origin products. Day-to-day work includes building UI in SwiftUI, modeling data with Core Data or SwiftData, integrating REST and gRPC APIs with URLSession or Alamofire, profiling with Instruments, and shipping releases through TestFlight and the App Store. In India, iOS engineers are concentrated at consumer-app product companies (Swiggy, Zomato, CRED, Razorpay, PhonePe, Dream11, Zerodha, Groww) and the GCCs of Apple, Google, Meta, Amazon, Uber, and Microsoft — with a much smaller volume than Android. The smaller market means fewer roles but a notable scarcity premium: senior iOS engineers in India typically earn more than equivalent Android engineers because supply is tighter, and Mac-based dev environments are required.

Senior: ₹65.0L

Geologists in India map the subsurface, locate economically viable mineral and hydrocarbon deposits, and assess groundwater systems for a country that sits on vast coalfields, Precambrian crystalline basement, and Himalayan fold-and-thrust belts. The dominant employers are the Geological Survey of India (GSI), ONGC, Oil India Limited (OIL), Coal India's subsidiary CMPDI, Hindustan Zinc (Vedanta group), National Mineral Development Corporation (NMDC), and the Atomic Minerals Directorate (AMD) for strategic minerals including uranium and rare-earth elements. Private sector work spans geotechnical consulting firms (Fugro, Strata Geosystems, EPC contractors) and junior mining companies operating in Rajasthan, Chhattisgarh, Jharkhand, and Odisha. Entry is through M.Sc. Geology or M.Sc. Applied Geology from institutions such as IIT Roorkee (Department of Earth Sciences), IIT Kharagpur, Osmania University, BHU, and state universities, followed by the UPSC Geologist Exam (Group A Gazetted post under GSI) or direct PSU recruitment via GATE Geology (GG) or company-specific tests.

Senior: N/A

Data Engineers build and operate the pipelines that move data from source systems (apps, payments, clickstreams, logs) into warehouses and lakehouses where analysts and ML teams can use it. The day-to-day work spans designing schemas, writing batch and streaming ETL jobs, owning Airflow/Dagster DAGs, tuning Spark or dbt models, monitoring pipeline freshness and cost, and partnering with analysts and data scientists who depend on the data being correct, fresh, and explainable. In India, the role is heavily concentrated at product unicorns (Flipkart, Razorpay, Swiggy, Zomato, PhonePe, Cred), fintech and BFSI players (HDFC, Kotak, ICICI), and the GCCs of global firms (Walmart Global Tech, Goldman Sachs, JPMorgan, Microsoft) — all of whom run terabyte-to-petabyte-scale warehouses on Snowflake, BigQuery, Redshift, or Databricks.

Senior: ₹60.0L