Top Engineering Jobs in Delhi

Develops and maintains ETL/ELT pipelines, legacy SSIS and SSAS solutions, reporting platforms, and relational and dimensional data models. Tunes SQL, data pipelines, semantic layers, and reporting workloads for performance and reliability. Supports Snowflake and cloud-native data platforms, documents data lineage and procedures, responds to ServiceNow incidents, and follows HIPAA, ITIL, governance, and change-control standards. Collaborates across technical and analytics teams while supporting healthcare data systems and modernization initiatives.

Leads and develops a distributed software engineering team responsible for a customer-deployed virtual appliance. Owns engineering execution, architecture guidance, roadmap delivery, Scrum practices, reliability, incident response, vulnerability remediation, hiring, and team development. Requires technical fluency in Linux, virtualization, containers, customer-installed software, SaaS connectivity, and AI/LLM tools, while partnering closely with Product Management and cross-functional engineering teams.

Leads software engineering teams building and operating AutoZone’s global data platform on Google Cloud. Oversees ETL pipelines, data services, monitoring, security, CI/CD, containerized deployments, and system reliability. Manages engineers and technical leads, drives delivery execution, mentors staff, and partners with architecture, product, security, and business stakeholders. Requires extensive software development and data platform leadership experience, Java expertise, database knowledge, cloud-native development, and strong compliance awareness.

Build and ship scalable backend services, REST APIs, AI-powered products, data models, Elasticsearch search systems, AWS infrastructure, and polished React/Gatsby frontends. Own architecture and projects end to end, from problem definition through deployment and iteration. The role requires strong software engineering fundamentals, hands-on LLM and AI-agent development, product thinking, technical ownership, and attention to reliability, performance, security, and maintainability.

Own the AI, backend, and infrastructure organizations, setting technical direction and scaling systems for a global travel platform. Build production multi-agent systems with durable execution, evaluation infrastructure, guardrails, and cost controls. Lead backend architecture, infrastructure automation, observability, developer platforms, and platform engineering. Hire and develop engineering leaders, managers, and senior individual contributors while maintaining a high technical and execution standard.

Develop and integrate autonomy and edge-AI capabilities using the Hivemind SDK for unmanned platforms across air, sea, and space. Work with customers to deploy and debug integrations, provide technical training, document solutions, collaborate with product teams, and conduct on-site deployments and flight testing (~30% travel).

Develop and integrate Hivemind autonomy capabilities for unmanned platforms across air/sea/space. Collaborate with customers to enable edge-AI, debug integrations, deploy infrastructure at customer sites, provide technical training, document systems, and work with product/engineering to iterate. Travel to customer sites (~30%).

Leads the engineering organization and oversees software delivery, system architecture, platform security, AI adoption, and engineering excellence. Scales high-traffic e-commerce platforms, integrates AI technologies into products and development workflows, ensures compliance, and partners with Product, Operations, founders, and senior leadership. The role also includes team development, mentoring, cross-functional collaboration, and ownership of the engineering and AI roadmaps.

Leads a cross-functional team of backend, mobile, and web engineers building global in-person acquiring products. Owns technical direction, architecture, delivery, reliability, and scaling of ePOS, Tap to Pay, mobile applications, pricing engines, payment networks, and third-party integrations. Partners with Product Management, drives platform transformation, mentors engineers, and oversees the full product lifecycle from development and testing through deployment, monitoring, and production operations.

Build and ship AI-powered features for fashion, beauty, and home using large-scale product, image, and consumer data. Prototype with LLMs, agents, multimodal and CV models, run experiments, measure impact, and take models end-to-end from hypothesis to production while collaborating with product, design, and business teams.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Leads project execution, mechanical and electrical engineering, facility operations, utilities, maintenance, commissioning, vendor management, statutory compliance, budgeting, HSE, and operational readiness for a large logistics park. Oversees MEP systems, warehouses, infrastructure, contractors, asset reliability, utility performance, documentation, and stakeholder coordination while ensuring safe, compliant, cost-effective, and reliable operations.

Work on real-world software projects: design, develop, test, and improve software. Collaborate with stakeholders, learn new technologies, apply engineering principles, and enhance product reliability, performance, and observability in a team environment.

Leads global enterprise network security architecture and engineering initiatives, including SASE, ZTNA, firewalls, proxies, DDI, wireless security, and load balancing. Defines security and automation roadmaps, addresses vulnerabilities and zero-day threats, and partners with operations, engineering teams, and vendors. Establishes monitoring, reliability, standards, and incident response practices supporting 99.999% availability while mentoring globally distributed engineering teams.

Leads product engineering teams delivering scalable enterprise applications. Responsibilities include defining technical strategy, architecting Java and Spring Boot backend systems, designing APIs and microservices, optimizing SQL databases, overseeing delivery, managing risks, establishing engineering standards, mentoring technical teams, and partnering with product and senior leadership on roadmaps. The role also involves Agile practices, application reliability, performance monitoring, and stakeholder collaboration.

Build and maintain automated end-to-end coverage for critical student-recruitment workflows using Playwright, Cypress, or similar tools. Validate role-based permissions, configuration changes, APIs, and complex edge cases; integrate tests into CI/CD; triage defects; and establish lightweight QA processes, test plans, severity standards, and release criteria.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Designs, implements, and refines threat detection and response use cases aligned with MITRE ATT&CK and the Cyber Kill Chain. Collaborates with threat intelligence, incident response, forensics, and security operations teams; analyzes attack patterns; participates in red-team and penetration-testing exercises; develops security metrics and management reports; and leads junior analysts as needed. The role requires expertise in security monitoring, incident response, forensics, network and host controls, cloud security, and multiple forensic and SIEM tools.

Debug and improve diverse codebases by fixing software defects, identifying vulnerabilities, conducting security assessments, refactoring legacy code, and optimizing secure backend systems. The specialist will document technical findings and contribute cybersecurity and software engineering expertise to AI training datasets. Work is fully remote and requires independent execution across project specifications.

Leads cloud platform architecture, reliability, modernization, automation, cost optimization, and operational excellence across Azure-based SaaS infrastructure with some AWS. Manages and develops cloud and database engineers, establishes observability and incident-response practices, improves CI/CD, supports highly available systems, and partners with engineering, product, and security teams. The role remains hands-on with Infrastructure-as-Code while overseeing hiring, performance management, capacity planning, and technical strategy.

Lead and scale Litmos’s India engineering organization, including hiring, team development, engineering culture, global integration, delivery, and operational excellence. Drive software development processes, CI/CD, testing, incident management, technical governance, architecture decisions, and technical debt reduction. Partner with product and global engineering leaders to deliver roadmap commitments. Maintain technical credibility across C#/.NET, Azure, Azure DevOps, SQL Server, and production Agentic AI systems.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Supports design, implementation, operation, and maintenance of multi-cloud platforms across GCP, AWS, and Azure. Responsibilities include cloud infrastructure automation, monitoring, incident management, security and compliance, backup and disaster recovery, system administration, outage analysis, and operational process improvement. The role also partners with application and product teams, supports CI/CD and configuration management, and provides 24/7 cloud hosting operations.

Designs and reviews ground-mounted and rooftop solar PV systems, including sizing, energy yield, layouts, cable routing, earthing, equipment selection, and BOS optimization. Coordinates with execution, procurement, vendors, and O&M teams; supports commissioning and resolves design issues. Manages multiple projects, site feasibility studies, engineering timelines, BOQs, technical reports, documentation, quality, and compliance with electrical and safety standards.

Supports data engineering initiatives that make raw data usable and accessible. Works on moderately complex projects, applies technical concepts to identify solutions, resolves technical issues, and contributes to data acquisition, integration, provisioning, analytics platforms, and business intelligence capabilities.