Top Tech Jobs & Startup Jobs in Hyderabad

Leads backend software engineering for JPMorgan Chase’s Infrastructure Platforms team. Responsibilities include designing, developing, testing, debugging, and securing production software; reviewing code; improving application resilience and operational stability; adopting AI-assisted engineering practices; automating recurring remediation; and evaluating vendor and architectural solutions. Requires advanced programming expertise, cloud-native experience, SDLC proficiency, agile delivery knowledge, and financial-services IT experience.

Leads multiple software engineering departments and technical areas within JPMorganChase’s Consumer and Community Banking Technology organization. Establishes enterprise strategies for agentic AI-enabled engineering, SDLC and TLM automation, release governance, test modernization, resilience, and incident response. Manages large technical teams, influences senior stakeholders, drives cross-functional adoption, oversees complex projects, and advances secure, responsible AI and cloud-native engineering practices across the firm.

Develops secure, scalable frontend software for fraud protection products within an agile team. Builds React and TypeScript applications using micro frontend architecture, integrates APIs and third-party applications, troubleshoots runtime and dependency issues, and creates automated tests. Produces architecture artifacts, analyzes application data, improves coding standards and system resiliency, and uses enterprise-approved AI development tools responsibly. Collaborates on CI/CD, security, and application reliability while contributing to technical solutions and peer practices.

Develop end-to-end product design solutions, create high-fidelity designs, and collaborate with engineering and product management. Present ideas, gather feedback, and review design proposals in cross-functional teams. The role requires user-centered design, portfolio evidence, interactive design and wireframing skills, product lifecycle experience, and the ability to integrate AI into workflows or problem-solving.

Architects and builds scalable distributed data platform systems, ingestion solutions, backend storage components, libraries, and frameworks. Provides technical leadership for complex initiatives, establishes engineering best practices, troubleshoots production issues, and evaluates emerging technologies. The role focuses on Java, JVM performance, Kubernetes, Kafka, Iceberg, Flink, Spark, data lakes, fault tolerance, and high-performance distributed systems.

Investigate and resolve complex card fraud and non-fraud disputes in compliance with card scheme rules and regulatory requirements. Manage daily workloads, SLAs, KPIs, documentation, and reporting while escalating complex issues. Identify workflow inefficiencies, support process improvements, and collaborate with Customer Support, Compliance, and Product teams to resolve escalations and identify emerging fraud trends.

Leads moderately complex software engineering initiatives, including planning, design, coding, testing, debugging, documentation, upgrades, and deployments. Reviews technical challenges, resolves issues, leads projects, supports compliance requirements, and serves as an escalation point while guiding less experienced engineers and collaborating with colleagues and managers.

Supports complex operational and customer support initiatives, resolves escalated issues, interprets policies and procedures, provides subject matter expertise, assists colleagues, recommends process improvements, and collaborates with internal stakeholders. The role requires independent judgment, technical knowledge, compliance awareness, and four or more years of operations support experience.

Performs routine clerical and operations support tasks, including receiving, logging, batching, distributing, filing, photocopying, answering phones, and handling mail. Works under close supervision, follows established procedures, receives direction from supervisors, and escalates questions or issues to experienced team members. Requires at least six months of operations support experience or equivalent experience, training, military experience, or education.

Micron internship offering hands-on experience across semiconductor design, data science/AI, engineering and manufacturing, or business operations. Interns collaborate on projects, develop AI proficiency, and support technology development, process improvement, and strategic initiatives within a cross-functional, inclusive environment.

Owns validation strategy and execution for client SSD products. Develops test plans, automation strategies, test cases, pass/fail criteria, and validation frameworks; analyzes results, reduces test time, manages defects, and drives root-cause resolution. Collaborates with R&D, quality, manufacturing, and global engineering teams while applying Python, AI/ML, and deep PCIe SSD, NAND, storage hierarchy, and NVMe expertise to improve product quality and delivery.

Leads firmware engineering teams responsible for analyzing, designing, programming, debugging, and optimizing embedded code for SSD and storage products. Oversees software interactions with analog and digital hardware, operating systems, ASICs, and SoCs. Manages firmware development using C, C++, and assembly, supports storage interfaces and flash translation technologies, estimates development work, troubleshoots performance issues, and develops engineering talent.

Lead and grow a team building Kubernetes observability integrations: oversee Go/Python data collectors, scalable backend services, UI dashboards, and K8s SRE agents; drive technical strategy (OpenTelemetry), ensure end-to-end delivery from agents and Helm charts to frontend, manage incident response and support rotations, and advocate open-source contributions.

Design, develop, and scale production-grade AI solutions, including agentic systems, copilots, document intelligence, summarization, retrieval, and workflow automation. Build AI-enabled applications, APIs, microservices, data pipelines, and enterprise integrations. Manage Azure DevOps CI/CD, monitoring, production support, performance, security, governance, and compliance while collaborating with cross-functional teams.

Design, develop, test, and support scalable enterprise applications using Java, Spring Boot, ReactJS, microservices, REST APIs, and Azure Cloud. Troubleshoot production issues, improve reliability and performance, participate in Agile ceremonies and code reviews, and contribute to automation and engineering excellence. The role also supports AI-assisted development practices and modern engineering tools.

Lead technical strategy and solution architecture for complex, high-value GSI-led bids. Develop joint solutions, proposals, architectures, demonstrations, and executive presentations while coordinating MongoDB, partners, customers, sales, delivery, legal, and finance stakeholders. Translate business outcomes into scalable, secure MongoDB architectures and partner delivery models, identify risks and competitive threats, support strategic pursuits, create reusable bid assets, and mentor architects and partner technical teams.

Own statutory accounting, filings, financial reporting, audits, reconciliations, and close processes for international entities. Review intercompany and payroll accounting, manage regulatory submissions, analyze large datasets, coach Staff Accountants, and drive process improvements and automation. Requires a qualified Chartered Accountant with 6+ years of post-qualification experience, strong GAAP and IFRS knowledge, multinational accounting experience, and proficiency in Excel and related systems.