Top Engineering Jobs in Bangalore

Lead the design, development, testing, implementation, and maintenance of contact center solutions using Genesys and Amazon Connect. Develop high-quality applications, utilities, and automation; analyze customer needs; contribute to product roadmaps; apply AI automation; document solutions; and provide technical leadership for future capabilities.

Lead and grow a platform engineering team in Bangalore while providing hands-on architectural oversight and technical leadership. The role involves building managed data stores, internal developer platforms, cloud infrastructure, automation pipelines, and AI/ML infrastructure. Responsibilities include reviewing designs, debugging complex systems, mentoring engineers, driving reliability and security, and coordinating execution across global teams. Candidates need extensive software engineering and management experience, distributed systems expertise, cloud architecture knowledge, and fluency in modern programming and infrastructure technologies.

Leads software engineering teams and complex technology initiatives within post-trade technology. Establishes governance for AI-enabled engineering, SDLC automation, security, resiliency, and quality controls. Oversees technical direction, budgets, resources, talent development, hiring, and cross-functional delivery. Develops scalable solutions using cloud-native technologies, AWS, Databricks, Snowflake, data lakes, Spark, Python or Java, and SQL while influencing senior business and technology stakeholders.

Leads software engineering across design, development, testing, troubleshooting, code review, and operational stability. Drives secure, scalable Java, React, Spring Boot, AWS, and Terraform solutions; evaluates architectures and vendors; and promotes engineering communities of practice. Establishes governance and operating practices for enterprise AI-assisted development, SDLC automation, responsible AI, resiliency, security, and continuous delivery across multiple teams.

Leads and develops software engineering teams, oversees technical strategy, architecture alignment, cloud modernization, security, scalability, code quality, and delivery execution. Partners with product leaders, architects, vendors, and global teams to remove obstacles, manage risk, advance Agile and DevOps practices, and deliver modern Java-based solutions. The role also manages engineering talent, budgets, performance, hiring, and career development while driving adoption of AI and generative AI capabilities.

Design, develop, test, implement, and support full-stack software solutions across Agile teams. Build cloud-based applications, collaborate with product managers, stay current with technology trends, mentor engineers, and use modern programming languages, databases, containers, orchestration platforms, and cloud services to deliver financial technology products.

Leads a Payments engineering team building backend systems for financial institution onboarding, payment orchestration, ledgers, reconciliation, bank and PSP integrations, and bulk payment processing. Owns technical direction, delivery, reliability, security, financial correctness, incident response, and cross-functional roadmaps. Recruits, coaches, and manages engineers while supporting cross-border payments, stablecoin settlement, geographic expansion, and collaboration across US- and India-based teams.

Leads multiple software engineering teams, overseeing delivery, compliance, stakeholder relationships, and day-to-day implementation. Guides engineers, drives responsible adoption of AI-assisted development and SDLC automation, manages dependencies, and ensures secure, resilient, high-quality application delivery. Requires software engineering expertise, people management, cloud-native AWS experience, agile practices, and financial-services IT knowledge, with preferred experience in Java, React, global stakeholders, AI transformation, and agentic workflows.

Leads the architecture and delivery of a large-scale reconciliation platform modernization, replacing legacy systems through parallel runs, phased cutovers, and decommissioning. Owns distributed-system architecture, non-functional requirements, migration strategy, production readiness, performance and cost engineering, auditability, and operational reliability. Coordinates multiple engineering workstreams, manages dependencies and risks, and coaches senior engineers and technical leads. The role requires deep AWS, Java, distributed systems, large-scale data processing, Apache Iceberg, and Apache Spark expertise.

Leads the Enterprise Payments engineering team, setting roadmap priorities, developing engineers, ensuring reliable delivery, and building scalable, secure payment systems. The role oversees operational excellence, customer support models, cross-functional collaboration, hiring, and team culture. Candidates need extensive engineering leadership experience, deep fintech or payments expertise, and hands-on knowledge of distributed systems, databases, SDLC practices, and scalable microservice architectures.

Leads multiple software engineering teams within infrastructure platforms, providing technical direction, coaching, budget and delivery oversight. Drives adoption of enterprise SDLC frameworks, AI-assisted engineering, automation, governance, security, and reliability practices. Guides Java-based distributed platform design, REST APIs, workflow orchestration, observability, resiliency, storage, and data-transfer solutions. Partners with SRE and stakeholders to manage risks, improve operational efficiency, develop talent, and deliver cloud-native and AI-enabled capabilities.

Leads a team of Production Engineers responsible for the reliability, scalability, availability, and operational excellence of globally distributed production services. Drives automation, observability, incident response, operational readiness, resilience testing, and architectural improvements across a multi-cloud platform. Partners with engineering teams to reduce operational toil, improve service maturity, and strengthen reliability practices.

Leads a software engineering team responsible for designing, developing, testing, deploying, maintaining, and improving applications. Mentors engineers, promotes best practices, supports complex solution delivery, and develops AI-powered applications using modern platforms. The role oversees end-to-end engineering, including development, test automation, DevOps, architecture, application support, performance optimization, and collaboration across global technical and business teams.

Leads the Developer Platform engineering organization by treating the internal platform as a product, defining roadmaps, prioritizing backlogs, and delivering secure, reliable self-service development and deployment workflows. Manages and mentors engineering talent, drives architecture for distributed systems, promotes CI/CD and operational excellence, collaborates across teams, supports recruitment and development, and participates in operational reviews and support rotations.

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 multiple backend, cloud, and observability engineering teams within a financial institution. Responsibilities include coaching engineers, setting team standards, managing technology projects, coordinating dependencies, ensuring compliance, and improving delivery through responsible AI-assisted development and SDLC automation. The role requires cloud-native experience, software development lifecycle expertise, agile practices, application resiliency, security knowledge, and financial services technology experience. Preferred skills include Python, data platforms, databases, AI/ML, frontend technologies, and observability tools.

Leads multiple software engineering teams, oversees delivery and implementation, develops and reviews secure production code, drives AI-assisted engineering and SDLC automation, improves application stability, and evaluates vendor and architectural solutions. Requires advanced Java or Python skills, system design and application development experience, software lifecycle expertise, agile and security knowledge, and the ability to promote responsible AI adoption across engineering teams.

Leads multiple software quality engineering teams within asset and wealth management. Responsibilities include developing enterprise QE strategies, automated and performance testing frameworks, CI/CD orchestration, load and scalability testing, monitoring and analytics, AWS validation, and bottleneck analysis. Manages 6–8 QEs, partners cross-functionally, ensures compliance, and guides responsible adoption of AI-assisted engineering and SDLC automation practices.

Leads the Payments engineering team in designing, building, and launching scalable FinTech platform features. Drives architecture, cross-team project delivery, production reliability, and business outcomes while partnering with Product and UX. Coaches and mentors engineering leaders and senior technical staff, hires team members, and promotes strong engineering practices. The role focuses on resilient, secure backend services and payment systems supporting high-volume transaction processing.

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 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.

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 the TDP Insights and Atlassian Data Resiliency engineering team, owning people leadership, strategy, execution, reliability, and operational outcomes. The role guides telemetry, analytics, backup, restore, and recovery capabilities across multi-cloud environments; establishes technical standards, service objectives, and resiliency measures; manages incidents, costs, dependencies, and roadmaps; and partners with product, infrastructure, security, compliance, and customer-facing teams across multiple geographies.

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.

Assists with designing, developing, testing, debugging, deploying, documenting, and supporting software applications. Collaborates with product managers, designers, architects, and engineers to deliver features, improve performance, automate deployments, resolve technical issues, and maintain code quality through testing and reviews.