Top Engineering Jobs in Bangalore

Lead development and operation of a greenfield, high-throughput, multi-cloud log processing pipeline using Go, Python, AWS Lambda, Kinesis, and Splunk Cloud. Responsibilities include event transformation, routing, timestamp normalization, observability, error handling, infrastructure as code, CI/CD, architecture decisions, code reviews, and production operations across AWS, GCP, and Azure.

Lead a globally distributed observability engineering team responsible for metrics, logging, alerting, capacity planning, and reliability platforms. Hire and develop engineers, set priorities, guide technical decisions, improve SLO-based alerting and telemetry, participate in incident response, and sustain effective on-call operations. Collaborate with Site Reliability Engineering and Product Engineering while applying AI tools to engineering workflows and incident triage.

Leads software engineering for a technical area within data and wealth management. Owns end-to-end technical solutions, engineering governance, AI-enabled development and SDLC automation, cloud-native delivery, security, resiliency, and reusable platforms. Manages resources, budgets, cross-functional teams, hiring, talent development, and stakeholder relationships. Drives responsible AI adoption, productivity improvements, process modernization, and delivery across business, product, and technology organizations.

Leads multiple software engineering teams responsible for electronic trading platforms. Defines technology strategy, drives low-latency and high-throughput architecture, oversees modernization, resiliency, scalability, security, and operational excellence. Manages engineering managers and senior engineers, supports hiring and talent development, partners with trading and business stakeholders, and guides delivery across market connectivity, pricing, execution, risk, reporting, and trade-processing systems. Requires deep expertise in Java or C++, distributed systems, performance engineering, and electronic trading workflows.

Builds and supports infrastructure applications across hybrid cloud environments, focusing on capacity management, monitoring, resiliency, deployment readiness, and root-cause troubleshooting. Partners with application and infrastructure teams to identify and remediate capacity risks, improve MTTR, and maintain secure, auditable systems. Uses Kubernetes, Jenkins, Terraform, Kafka, observability tools, databases, and validated enterprise AI capabilities to improve infrastructure engineering workflows.

Provides enterprise technical leadership across data engineering, distributed systems, cloud-native software, and generative AI. Owns architecture strategy, modernization, governance, scalability, security, reliability, and operational standards for data and application platforms. Designs streaming, lakehouse, microservices, RAG, and agentic AI solutions using technologies such as Spark, Kafka, Java, Kubernetes, Azure, and GCP. Influences executives, leads architecture reviews, drives legacy-to-cloud transformation, and partners with engineering, data science, security, product, and business teams.

Manages and develops software engineering teams while guiding architecture, application modernization, cloud readiness, security, scalability, and production stability. Leads technical strategy, code reviews, agile and DevOps practices, risk mitigation, vendor collaboration, resource allocation, hiring, and talent development. Partners with product, architecture, business, and risk stakeholders to deliver innovative solutions, including AI-assisted engineering initiatives and generative AI capabilities.

Leads and manages a software engineering team delivering scalable enterprise applications and digital solutions. Oversees architecture, development, project planning, quality assurance, technical support, documentation, and process improvement. Partners cross-functionally to align technology outcomes with business needs, while mentoring engineers, guiding technical decisions, and fostering a high-performing engineering culture. The role also supports data platforms, integrations, AI-enabled capabilities, DevSecOps, SRE, and modern software architecture practices.

Leads and mentors a build and release engineering team supporting enterprise CI/CD, source control, sandbox tooling, and JUNOS/EVO platform delivery. Owns architecture, scalability, reliability, automation, release governance, DevSecOps, SBOM/VEX management, incident response, and AI/ML-driven pipeline improvements. This working manager contributes directly to coding, design reviews, debugging, and technical strategy while influencing cross-functional engineering organizations.

Lead Atlassian’s ITSM Analytics engineering organization, shaping a multi-pod team responsible for reporting, analytics, data pipelines, GraphQL APIs, React interfaces, and data infrastructure. Set technical direction, scale analytics products, drive performance and data quality, deliver enterprise-ready releases, and hire, coach, and retain senior engineers.

Lead 2–3 scrum teams comprising 12–20 people while shaping Jira Platform capabilities, technical strategy, architecture, and engineering practices. Drive AI transformation, enterprise readiness, scalability, security, reliability, and operational excellence. Mentor engineers, collaborate with principal engineers and global stakeholders, define direction amid ambiguity, and deliver strategic platform and product outcomes in a distributed SaaS environment.

Provides Level 3 customer support for HPE Slingshot software and HPC environments. Analyzes, reproduces, isolates, and resolves complex issues; performs Linux diagnostics, system testing, upgrades, and performance analysis; coordinates escalations with HPE R&D and external suppliers; documents resolutions; supports maintenance windows and major incidents; and mentors less-experienced staff.

Leads 2–3 scrum teams of 12–20 engineers, driving technical architecture, product and platform roadmaps, engineering excellence, operational excellence, and business outcomes. Coaches engineers and managers, develops high-performing teams, influences product direction, and provides clarity in ambiguous environments. Partners with product, design, architecture, and global stakeholders while supporting large-scale SaaS software development and continuous delivery.

Leads 2–3 scrum teams of 12–20 engineers, overseeing technical architecture, product and platform roadmaps, engineering excellence, and operational improvement. Builds and develops high-performing teams, coaches engineers and managers, collaborates with product, design, and architecture leaders, and drives execution across distributed teams in an ambiguous global environment.

Leads Database Engineering and Cloud Infrastructure teams responsible for multi-cloud database architecture, scalability, resiliency, automation, FinOps, and operational excellence across AWS and Azure. Oversees relational databases, Redis and Valkey infrastructure, infrastructure-as-code, database migration pipelines, disaster recovery, performance optimization, and zero-downtime operations. Manages and mentors senior engineers while establishing SLOs, security standards, and incident-management practices.

Leads multiple infrastructure engineering teams supporting Cisco telephony, VoIP, SIP networks, PBX environments, and related integrations. Provides technical direction, mentorship, staffing and budget input, stakeholder management, and delivery oversight aligned with compliance, security, resiliency, and service-level requirements. Establishes AI-assisted engineering workflows with validation, traceability, and auditability. Requires substantial expertise in telephony architecture, SBCs, SIP interoperability, networking protocols, scripting, monitoring, DevOps, and site reliability practices.

Leads engineering teams building enterprise developer tools, IDE platforms, frameworks, utilities, configuration services, and automation platforms. Sets technical strategy, drives cloud-native and platform engineering adoption, manages architecture and security standards, improves developer productivity through automation and AI, and oversees reliability, modernization, incident management, budgets, roadmaps, hiring, and talent development. Partners with product, architecture, security, risk, infrastructure, vendors, and executive stakeholders.

Develop secure, high-quality software and supporting infrastructure for Chase UK’s digital banking platform. Responsibilities include system design, application development, testing, troubleshooting, CI/CD and developer-experience improvements, architecture documentation, data analysis, and operational stability. The role also involves Atlassian SaaS administration, SSO and SCIM integrations, and Terraform-based infrastructure provisioning while collaborating with distributed engineering teams.

Lead engineering teams building and operating Atlassian’s Plato Data Platform across streaming ingestion and MPP query/serving. Own reliability, performance, cost, scale, data quality, and observability for high-scale production infrastructure. Manage hiring, coaching, retention, and development of senior engineers and managers while providing technical leadership in distributed systems, Kubernetes, and cloud data infrastructure on GCP or AWS.

Administer and support production Microsoft SQL Server instances and related data repositories. Monitor systems, verify backups, troubleshoot failures, manage access under HIPAA and SOX guidelines, tune performance, support vendor-maintained environments, follow change-management procedures, document standards, and collaborate with data operations teams. The role also requires explaining technical issues to nontechnical stakeholders and coordinating multiple concurrent efforts.

Lead a software engineering team building Toast Advertising, a SaaS product integrating Google and Meta campaigns with restaurant ordering, reservations, catering, and sales data. Responsibilities include roadmap planning, execution management, cross-functional collaboration, mentoring engineers, ensuring product impact and quality, knowledge sharing, hiring, and team development. The role requires experience delivering software in SaaS environments, managing teams, working with third-party integrations, and operating in early-stage technology startups.

Lead and grow a multi-pod engineering team building Atlassian’s JSM analytics platform. Own technical direction and delivery for custom metrics, insights, operations and assets reporting, spanning React frontends, GraphQL APIs, distributed data pipelines and cloud infrastructure. Drive products from early access through general availability while improving scale, performance, data quality and observability. Hire, coach and retain senior engineers and deliver analytics capabilities for enterprise customers.

Lead a backend engineering team building customer and platform offerings, including gRPC APIs and observability infrastructure. Responsibilities include setting technical direction, defining roadmaps and OKRs, reviewing architecture, improving delivery and reliability, managing incidents, coaching engineers, and collaborating with product, design, customer success, marketing, and customers. The role requires leadership of cloud-scale distributed systems and a strong focus on customer and developer experience.

Leads a globally distributed engineering team responsible for GitLab’s Continuous Deployment capabilities. The role includes hiring, coaching, technical direction, architecture, roadmap collaboration, delivery reliability, incident participation, and establishing team processes. The manager guides development of distributed, durable workflow and deployment systems using Kubernetes, GitOps, progressive delivery, policy governance, and event-driven architectures in a remote-first environment.

Leads software engineering managers and experienced engineers, oversees complex software delivery, and drives architecture adherence, modernization, security, scalability, and operational stability. Partners with product, architecture, vendors, and business stakeholders to resolve technical roadblocks, guide agile and DevOps practices, manage resources, and deliver strategic technology outcomes. Builds engineering capability through coaching, code reviews, hiring, performance management, and talent development.