Develop scalable full-stack applications using Node.js, NestJS, Vue.js, and JavaScript. Build RESTful APIs, deploy cloud-native workloads on GCP, automate infrastructure with Terraform and Kubernetes, and manage databases and data pipelines using PostgreSQL, BigQuery, Dataflow, Composer, Airflow, and Kafka. Implement CI/CD, observability, security, and compliance practices. Mentor team members, conduct code reviews, and contribute to architectural and infrastructure decisions.
Application Development
- Build robust, scalable server-side applications using Node.js, NestJS, and Vue.js.
- Collaborate closely with front-end teams to design and implement responsive, interactive user interfaces using Vue.js and JavaScript.
- Write clean, efficient, and well-documented code while adhering to established coding standards, testing practices, and performance guidelines.
- Design and develop secure, high-performance back-end components to ensure application reliability and scalability.
- Design and implement RESTful APIs to support front-end and third-party integrations.
- Apply multiple architectural styles and design patterns to build maintainable systems.
- Continuously adopt modern development practices to improve development cycle time and delivery efficiency.
- Deploy, manage, and scale applications on Google Cloud Platform (GCP).
- Demonstrate working knowledge of GCP Cloud Run and containerized workloads.
- Leverage cloud-native services for application development, data integration, and continuous deployment.
- Optimize cloud resources for performance, scalability, and cost efficiency.
- Automate infrastructure provisioning and resource management using tools such as Terraform, Kubernetes, Ansible, and Argo CD.
- Design, develop, and maintain databases using PostgreSQL, SQL, and BigQuery.
- Build and optimize data pipelines and workflows using Google Dataflow, Google Composer, or Apache Airflow for orchestration and scheduling.
- Work with both structured and unstructured datasets to support data ingestion, analytics, and reporting.
- Utilize Kafka to build real-time data pipelines and streaming applications.
- Write, optimize, and maintain complex SQL queries for data transformation and analysis.
- Design, implement, and manage CI/CD pipelines to enable reliable and automated deployments.
- Improve system observability through effective logging, monitoring, and alerting practices.
- Ensure applications comply with security standards and industry best practices.
- Collaborate with security teams to identify vulnerabilities, implement mitigation strategies, and enforce compliance requirements.
- Adhere to data protection and regulatory standards, including HIPAA where applicable.
- Coach team members and conduct code reviews (PR reviews) to ensure high-quality deliverables.
- Participate in cross-team collaboration meetings and represent the team in architectural and infrastructure discussions.
- Conduct regular training and knowledge-sharing sessions to upskill the team on modern tools, technologies, and best practices.
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Operate and secure SailPoint’s global SaaS infrastructure. Responsibilities include file integrity monitoring, audit evidence automation, base-image hardening, release automation, vulnerability remediation, compliance support, incident response, and on-call production operations. The role collaborates with engineering and cybersecurity teams to securely deploy services, improve operational practices, troubleshoot systems and networks, and maintain security across AWS or Azure environments.
Top Skills:
AWSAzureChefIdsIpsJenkinsPuppetPythonRubySIEMSirpTerraformWaf
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Defines end-to-end architectures for agentic AI, intelligent triage, and root-cause analysis platforms. Designs multi-agent systems, autonomous investigation workflows, human-in-the-loop controls, evaluation frameworks, and AI monitoring. Architects integrations across data, engineering, manufacturing, and AI platforms using APIs, microservices, and orchestration layers. Provides technical leadership, architectural governance, mentoring, and executive alignment while establishing standards for AI engineering, MLOps, and AgentOps.
Top Skills:
Agentic AiAgentopsAiopsAPIsAutogenAzure AiClaudeCloud-Native ArchitectureCrewaiDistributed SystemsGenerative AiGraphragKnowledge GraphsLangchainLanggraphLarge Language Models (Llms)MicroservicesMlopsNvidia AiOpenaiRag
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Defines enterprise data architecture for AI-driven triage and root-cause analysis systems. Designs data lakes, semantic layers, knowledge graphs, vector databases, schemas, ingestion pipelines, APIs, and governance frameworks. Establishes data quality, lineage, security, and observability standards across engineering and manufacturing domains. Enables GraphRAG, hybrid retrieval, agentic AI workflows, and low-latency inference at scale while partnering with cloud and infrastructure teams.
Top Skills:
Agentic AiAPIsArcadedbAWSAzureConfluenceData LakesData ModelingData WarehousesEtl/Elt PipelinesGoogle Cloud PlatformGraph DatabasesGraphragJIRAKnowledge GraphsLlm ApplicationsMetadata ManagementNeo4JRagTigergraphVector Databases
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.


.jpeg)