Top Tech Jobs & Startup Jobs in Pune

Lead compliance programs covering ISO 27001 implementation, external audits, SOC 2 Type 2, QMS, HIPAA, PCI DSS, and SOX. Manage internal audits across HR, administration, and IT; complete RFI/RFQ questionnaires; and support delivery compliance activities. Requires at least five years of relevant experience and a degree in engineering, computer science, or an equivalent field.

Lead mobile automation testing by designing, building, and maintaining automated test suites and frameworks for mobile apps. Define strategies and best practices, integrate tests with CI/CD, mentor junior engineers, analyze results and defects, and collaborate with product and development teams throughout sprints.

Designs, develops, and maintains automated testing frameworks and processes. Executes automated test cases, analyzes results, troubleshoots scripts, and reports findings. Collaborates with cross-functional and distributed teams, contributes to technical solutions, and supports Agile SDLC and STLC practices. Requires strong Java, Selenium, Cucumber, Serenity, API automation, CI/CD, and debugging skills, with preferred experience in AWS, Docker, EKS, databases, Kafka, Spring, and REST services.

The job description provides very limited details. The role appears to support infrastructure and IT operations, but specific responsibilities, procedures, qualifications, tools, and technologies are not listed.

Lead the design, development, and optimization of enterprise AEM digital experiences. Build cloud-native AEM components, templates, services, headless content models, and omnichannel delivery solutions. Manage Cloud Manager CI/CD pipelines, repository synchronization, Dispatcher, CDN, reverse proxy, and load-balancing configurations. Integrate AEM with APIs, Adobe Experience Cloud, Adobe I/O, and DAM systems. Support multi-site architecture and establish AI-assisted development practices using tools such as GitHub Copilot.

Design, develop, test, and maintain scalable backend services, APIs, and microservices. Optimize databases and data models, integrate third-party services and payment gateways, implement security controls, troubleshoot production issues, and support CI/CD deployments. Collaborate with frontend, product, and QA teams; participate in code reviews and technical design discussions; and produce clean, documented, high-performance software.

Develop and maintain full-stack applications using Java, Spring Boot, REST, database technologies, and modern front-end frameworks. Work on greenfield engineering initiatives, AWS cloud solutions, asynchronous processing, WebSockets, authentication, CI/CD pipelines, testing, and UI interoperability. Apply engineering best practices including code reviews and branching strategies, while collaborating through Jira, Confluence, Git, Maven, and Jenkins. Blockchain experience and AWS certification are advantageous.

Build scalable full-stack applications and distributed systems using Java, Spring Boot, REST APIs, microservices, and modern frontend frameworks. Develop cloud-native solutions on AWS with Kubernetes, Docker, CI/CD, and infrastructure automation. Improve reliability through observability, monitoring, alerting, incident analysis, and root cause analysis. Design automated testing across unit, integration, functional, and end-to-end layers. Drive technical solutions independently, mentor engineers, and collaborate across globally distributed teams.

Design and develop Java, Spring, and Spring Boot applications on AWS using serverless and container-based EKS architectures. Build REST APIs and fault-tolerant, transactional systems; customize CI/CD pipelines and use Terraform. Reverse engineer legacy mainframe platforms, identify and mitigate risks, solve technical problems, manage project deadlines, and collaborate with stakeholders and geographically distributed teams.

Develop and deliver AI/ML solutions by building supervised and unsupervised models, deep learning systems, NLP and LLM applications. Responsibilities include LLM fine-tuning, prompt engineering, RAG, vector databases, transformer architectures, and AI agent deployment. The role requires partnering with business stakeholders, presenting technical findings, and continuously learning emerging AI technologies.