Top AWS Jobs in Hyderabad

Develops cloud-native software and infrastructure-as-code solutions using Terraform, AWS, and Golang. Builds reusable Terraform modules, APIs, microservices, event-driven systems, and asynchronous workflows. Troubleshoots infrastructure deployments, supports CI/CD automation, and ensures scalability, security, resiliency, and compliance. Collaborates with application teams and uses AI-assisted development tools responsibly to improve engineering productivity and code quality.

Develop and scale C#/.NET test automation for DryvIQ’s Kubernetes-based distributed applications. Build API, integration, system, UI, regression, and end-to-end coverage; improve frameworks, reusable utilities, diagnostics, test data, and CI/CD integration. Validate microservices, asynchronous workflows, deployments, upgrades, recovery, and enterprise integrations. Diagnose complex failures using logs and system evidence, collaborate with engineering and QA teams, contribute to Python/PyTest tooling, and provide technical guidance.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage P1/P2 incidents; troubleshoot Java Spring Boot microservices, deployments, APIs, and Kubernetes environments; analyze logs, traces, and metrics; perform root cause analysis; coordinate escalations; document incidents; and improve monitoring and alerting processes.

Monitor application and infrastructure health using Dynatrace, Splunk, and Zabbix; triage and troubleshoot P1/P2 incidents; perform root cause analysis; investigate Java, Spring Boot, REST API, deployment, and performance issues; coordinate escalations; document incidents; communicate status updates; and improve monitoring, alerting, and operational processes.

Designs, administers, and optimizes enterprise backup, recovery, and cyber resilience solutions across on-premises, hybrid-cloud, and public-cloud environments. Leads backup and disaster recovery initiatives, ensures RPO/RTO compliance, develops Terraform-based infrastructure automation, and scripts operational processes using Python, PowerShell, and Bash. Implements monitoring, observability, immutable backups, cyber vaults, isolated recovery environments, and air-gapped recovery capabilities. Troubleshoots complex infrastructure issues, supports audits and compliance, and drives technical roadmaps and operational excellence.

Develops secure, high-quality software for banking data products, including migration, reconciliation, and data publishing tools. Responsibilities include system design, backend and ETL development, AWS cloud deployment, database development, testing, CI/CD, troubleshooting, architecture documentation, and data analysis. The role also promotes responsible AI-assisted development, contributes to engineering communities, and mentors or leads technical initiatives.

Supports IT operations across Linux and Windows systems in lab, data center, and cloud environments. Provides rotational on-call support, incident and problem management, monitoring, troubleshooting, root-cause analysis, and SLA compliance. Implements automation, AI-enabled tools, scalable process improvements, and infrastructure solutions using cloud, containerization, CI/CD, and monitoring technologies. The role is open to fresh graduates.

Develops secure, scalable Java software for JPMorganChase’s Consumer and Community Banking technology teams. Responsibilities include system design, application development, debugging, testing, architecture documentation, production stability, data analysis, and troubleshooting. The role uses AI-assisted development tools responsibly to improve coding, testing, documentation, and delivery while validating outputs for security and correctness. Candidates need 3+ years of software engineering experience, SDLC and agile knowledge, and experience with system design, modern programming languages, and database querying.

Leads software engineering and application production support initiatives in a 16/7 environment. Responsibilities include designing, coding, testing, deployments, incident response, root-cause analysis, monitoring, observability, reliability improvements, automation, change coordination, business continuity planning, and post-incident reviews. The role partners with development, infrastructure, and architecture teams to improve application availability, supportability, and operational processes, while serving as an escalation point and guiding less experienced staff.

Leads software engineering within an agile banking technology team, designing, developing, testing, debugging, and operationalizing secure, scalable production systems. Builds Java and Spring Boot microservices, React or Angular applications, Kafka event-driven architectures, and NoSQL solutions on AWS or Cloud Foundry. Promotes responsible AI-assisted development, automation, secure coding, testing, and operational stability. Leads architecture evaluations, design reviews, mentoring, vendor discussions, and cross-team technical alignment.

Build, deploy, and operate production backend and cloud services using Go, Python, AWS, and Terraform. Design event-driven and serverless systems, telemetry and analytics pipelines, and secure infrastructure. Own features through release, monitoring, incident response, and root-cause prevention. Improve CI/CD, observability, runbooks, and on-call practices while collaborating across global teams. Provide code reviews, technical guidance, and cross-functional support for enterprise data and cloud platforms.

Develop and support mobile software features and flexible services in a collaborative agile team. Troubleshoot issues across operating systems, databases, applications, JavaScript, and networks. Design microservices and APIs, write unit tests, support production systems, follow technology trends, and mentor engineers. The role requires hands-on full-stack development using Java, AWS, SQL, and React or Angular, along with technical decision-making, collaboration, training, and a strong focus on software quality.

Lead software engineering efforts within an agile financial services team by designing, developing, testing, debugging, and supporting secure, scalable applications. The role requires advanced Java, Python, Spark, AWS, and SQL expertise, cloud-native experience, SDLC proficiency, and operational resiliency knowledge. It also involves promoting responsible AI-assisted development, automating recurring remediation, reviewing code, and evaluating vendor and architectural solutions.

Leads the design, development, and maintenance of scalable .NET and cloud-based microservices across Azure and AWS. Provides technical leadership through architecture, code and design reviews, mentoring, performance optimization, troubleshooting, and cloud cost analysis. Establishes CI/CD, automated testing, infrastructure-as-code, and deployment practices while ensuring scalability, availability, and non-functional requirements. Collaborates across teams to define solutions, estimate work, integrate systems, and evaluate emerging AI, machine learning, and cloud technologies.

Leads development of scalable full-stack enterprise applications using Java, Spring Boot, React or Angular, microservices, APIs, and cloud platforms. Integrates AI/ML, generative AI, LLM, and predictive capabilities into production systems. Oversees secure coding, performance, monitoring, CI/CD, Kubernetes deployments, and infrastructure automation. Collaborates with cross-functional teams, troubleshoots production issues, participates in architecture decisions, mentors engineers, and drives modern engineering practices.

Lead reliability engineering for critical enterprise applications and infrastructure. Manage P1/P2 incidents, troubleshoot production issues, meet SLA and SLO targets, conduct root cause analysis, and improve observability, automation, disaster recovery, and high availability. Develop AI-powered operational solutions, reduce toil, support major events and on-call rotations, and mentor junior engineers. The role requires cloud, infrastructure-as-code, monitoring, scripting, incident management, and large-scale production support expertise.

Design, develop, deploy, and maintain enterprise web applications using GoLang, Java Spring Boot, React, and cloud platforms. Build microservices and REST APIs, optimize performance and security, support deployment and monitoring, and apply DevOps practices. Collaborate with Product, QA, and UX teams, conduct code reviews, mentor junior developers, and develop AI-powered solutions using modern platforms and AI tools.

Design, develop, test, deploy, and maintain scalable Java and Spring Boot backend services, REST APIs, and microservices. Optimize relational and NoSQL databases, implement automated testing, manage CI/CD pipelines, troubleshoot production issues, and collaborate in Agile/Scrum teams. The role also involves using AI-assisted development tools, evaluating emerging technologies, and applying secure coding practices.

Leads multiple software engineering teams within financial services, overseeing technology implementations, coding governance, compliance, stakeholder relationships, and delivery. Guides engineers, builds executable backlogs, drives automation across the SDLC, and delivers scalable applications using AWS, Java, big data, distributed systems, APIs, microservices, and event streaming. Coaches technical teams and influences senior business and technology leaders.

Leads and coaches multiple software engineering teams while overseeing resources, budgets, technical execution, and operating practices. Drives enterprise adoption of AI-assisted engineering and SDLC automation with governance, security, quality, and measurable delivery outcomes. Guides Java backend development and AWS cloud-native distributed services, participates in architecture and design reviews, promotes testing, CI/CD, observability, and secure coding, and collaborates with product and business stakeholders.

Leads software engineering within JPMorganChase Deposits 2.0, designing, developing, testing, securing, and troubleshooting scalable production systems. Reviews code, improves operational stability, evaluates architectures and vendors, promotes engineering best practices, and leads adoption of responsible AI-assisted development tools. Coaches teams on validating AI-generated outputs for correctness, performance, security, and resiliency while advancing automation and continuous delivery.

Lead architecture and development of highly distributed, enterprise-scale cloud security systems. Establish coding, testing, observability, and CI/CD standards; guide technical decisions; and drive cross-team initiatives in performance, reliability, and technology adoption. Build Java and Go services using microservices, databases, cloud infrastructure, identity and access management, and fault-tolerant distributed systems. Apply AI/ML and agentic AI technologies to improve engineering outcomes.

Leads the architecture, development, deployment, monitoring, and support of scalable Python backend platforms, APIs, microservices, document-processing workflows, and cloud integrations. Owns complex technical initiatives, production reliability, testing, security, observability, and performance optimization. Collaborates across product, security, DevOps, QA, architecture, and business teams while mentoring engineers. The role also applies AI-assisted development, LLMs, and agentic workflows to regulated healthcare and business processes.

Leads the design, development, troubleshooting, and delivery of secure, scalable distributed systems. Builds Java and Spring Boot microservices, Kafka-based event architectures, AWS data platforms, and Spark processing solutions. Creates architecture artifacts, maintains production code, improves system performance, and analyzes large datasets. Promotes responsible use of AI-assisted engineering tools for coding, testing, documentation, troubleshooting, and code review while coaching teams on secure validation practices.

Leads software engineering for secure, scalable Agentic AI products. Provides technical direction, develops and reviews production code, improves AI-assisted engineering practices, establishes validation and governance standards, and influences application design and operations. Requires advanced programming, AI agent frameworks, MCP, database, AWS cloud-native, resilient web services, and responsible AI expertise. Acts as a subject matter expert and mentors engineering teams.