Become a QA Automation Engineer.

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.

Spring Boot Developers build the Java-based microservices and enterprise backends that run India's banking, fintech, and product-company infrastructure — HDFC Bank's core-banking services, Razorpay's payment processing, PhonePe's UPI switch, Flipkart's order management, and Cred's rewards engine all run significant Spring Boot workloads. The role demands fluency in the full Spring ecosystem: REST controllers with validation, JPA/Hibernate for ORM, Spring Security with JWT/OAuth2, Spring Cloud (Eureka, Gateway, Config Server) for microservices coordination, and Actuator with Micrometer for production observability. India's IT services giants (TCS, Infosys, Wipro, Cognizant) all have Java/Spring Boot as their dominant backend skill, while product companies (Zerodha, Groww, Meesho, Swiggy, ShareChat) and banking captives (Goldman Sachs Bengaluru, JPMorgan Hyderabad, Deutsche Bank Pune) hire Spring Boot specialists at 2-4x services-company compensation with meaningful ESOP upside.

Senior: ₹58.0L

Design, install, and operate the electrical systems that move power from generation to industrial loads and household sockets across India — generation plants, EHV substations, transmission lines, distribution networks, motor drives, switchgear, and the electrical bays inside cement, steel, refining, and manufacturing plants. The work spans load-flow and short-circuit studies in ETAP / DIgSILENT / SKM, protection-relay coordination on Schneider, ABB, Siemens, and Hitachi-Energy gear, motor-control-centre and PCC design, drive commissioning (Variable-Frequency Drives, soft-starters, MV drives), HT/LT panel engineering, plant electrical-safety audits to IS-732 / IS-3043 / IEC 61936, and SCADA / DCS integration for substations and process plants. In India the role lives at three very different employers — central and state PSUs (NTPC, BHEL, POWERGRID, NHPC, NLC, Coal India captives, state DISCOMs, GETCO, MSETCL), private power and industrial groups (Tata Power, Adani Power and Adani Green, JSW, Reliance, Vedanta, Hindalco, ACC, UltraTech), and motor / equipment manufacturers and GCC R&D centres (CG Power, Havells, Siemens India, ABB India, Schneider Electric India, Hitachi Energy, Rockwell Automation, Larsen & Toubro Electrical & Automation). Pay, work culture, and growth curves vary widely across these three lanes, and the same B.Tech can land in any of them.

Senior: ₹40.0L

Magento Developers (Adobe Commerce Developers) build, customize, and scale enterprise e-commerce platforms on Magento 2 / Adobe Commerce -- writing PHP modules using the observer-plugin (interceptor) pattern, extending GraphQL schemas for headless storefronts, modeling product data with Magento EAV (Entity-Attribute-Value) architecture, and managing indexer queues that keep catalog, price, and search data consistent at scale. In India, Magento work concentrates at Adobe Commerce partner agencies -- Webkul Software (Jaipur), Codilar Technologies (Bengaluru), Wagento, Aimee Soft -- plus in-house teams at mid-market to enterprise retailers migrating from custom PHP to Adobe Commerce. The stack demands a rare combination: deep PHP 8 and Magento 2 internals, performance engineering (Varnish FPC, Redis caching, Elasticsearch/OpenSearch), and API integration with ERPs (SAP, Navision), PIMs (Akeneo), and payment gateways. Entry-level roles start with theme and admin customization; senior and lead engineers own multi-store architecture, B2B Commerce module configuration, CI/CD pipelines for Magento Cloud, and headless PWA Studio or Hyva front-end implementation.

Senior: ₹45.0L

SOC Analysts are the 24x7 watchdogs of enterprise security — they monitor SIEM platforms (Splunk, QRadar, Microsoft Sentinel, ELK) for threats, triage alerts against MITRE ATT&CK, investigate indicators of compromise, and execute incident-response runbooks from containment through post-incident reporting. In India, they work across three tiers: L1 (alert queue management at MSSPs like TCS Cyber SOC, Paladion/Atos, Wipro Limited, and Infosys), L2/L3 (deep forensic investigation and threat hunting at in-house SOCs at HDFC Bank, ICICI Bank, Reliance Jio, and KPMG's managed-security arm), and SOC Lead (programme ownership, MTTD/MTTR governance, CERT-In coordination). The role is operationally intensive, requiring calm judgment under fire, log-pattern recognition, and escalation discipline when a true positive lands at 3 AM.

Senior: ₹32.0L

Data Platform Engineers build and operate the shared infrastructure that every data-producing and data-consuming team in the company depends on — Spark and Trino/Presto cluster management, Airflow/Dagster operator frameworks, Snowflake and Databricks tenancy governance, schema registries, data catalog and lineage tooling (DataHub, OpenMetadata, Atlan), and the SLOs that underpin all downstream analytics and ML work. The distinction from a Data Engineer is operational ownership: a Data Platform Engineer does not primarily author business pipelines but instead owns the platform those pipelines run on — cluster sizing, Spark executor config, Airflow scheduler tuning, warehouse credit budgets, access-control frameworks, and cost-attribution dashboards. In India the role has consolidated at petabyte-scale operators — Flipkart, Walmart Global Tech, Uber India, Razorpay, CRED, PhonePe, Swiggy, Zomato — and at the GCCs of global hyperscalers and banks where the Indian data platform team often owns a globally shared service.

Senior: N/A