11+ RCA Jobs in Hyderabad | RCA Job openings in Hyderabad

We are hiring an L1 IT Support Engineer with 2–3 years of experience in desktop/helpdesk support to provide first-level technical assistance across end-user systems, cloud, and enterprise IT environments.

Key Responsibilities

• Troubleshoot Windows OS and Office 365 issues (Outlook, Teams, OneDrive)
• Manage Active Directory tasks: password resets, access/user management
• Install/configure laptops, desktops, printers, and software
• Perform basic network troubleshooting (Wi-Fi, VPN, DNS, DHCP)
• Support AWS CloudWatch alerts and basic Linux troubleshooting
• Handle patching, RCA, documentation, and SOP updates
• Manage tickets in ServiceNow/Jira and meet SLA timelines
• Support onboarding/offboarding and escalate complex issues to L2

Required Skills

• 2–3 years in IT Support / Helpdesk / Desktop Support
• Strong in Windows 10/11, Office 365, Active Directory
• Basic exposure to AWS / CloudWatch and Linux/Unix
• Familiarity with ServiceNow/Jira, ITIL/SLA processes
• Knowledge of SIP/VoIP basics is a plus
• Strong communication and troubleshooting skills

Key Skills:

• Hands-on experience with AWS services such as EC2, S3, Lambda, API Gateway, RDS, or DynamoDB ☁️

• Basic understanding of AI/ML concepts and experience with Python-based ML libraries (NumPy, Pandas, Scikit-learn, etc.) 🤖

• Experience in Python / Node.js / Java for backend development 💻

• Understanding of REST APIs and microservices architecture

• Familiarity with Git, CI/CD pipelines, and DevOps fundamentals

• Knowledge of Docker / containerization (preferred) 🐳

• Basic understanding of cloud security, IAM roles, and policies 🔐

• Experience in using AI tools (e.g., ChatGPT, GitHub Copilot, or similar tools) for development, debugging, documentation, and productivity in day-to-day tasks ⚡

Roles & Responsibilities:

• Develop and maintain cloud-based applications on AWS ☁️

• Build and integrate APIs and backend services

• Assist in deploying, monitoring, and managing applications on AWS infrastructure

• Work with the team to integrate AI/ML models or AI-powered services into applications 🤖

• Utilize AI tools for coding assistance, debugging, automation, and improving development efficiency

• Optimize applications for performance, scalability, and reliability

• Collaborate with cross-functional teams for design, development, and deployment

• Troubleshoot and resolve cloud or application-related issues

AWS Certification is mandatory

Education Qualification:

B.Tech/M.Tech from CSE/IT/AI/ML/ECE

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

We are looking for candidates have 4 to 7 years of professional expertise in the development of .Net Core, Asp.Net, .Net Framework, WebApi applications and angular applications. Also how have experience in 3rd party integrations like payment gateways.

• Experience integrating Third Party SDKs and APIs.
• Should have 3+ Years of Angular Js Work Experience or 3+ Years of Experience Developing the Angular 8/10/12/14/16 Web Applications.
• It's advantageous to be familiar with Angular Application Deployment.
• Working knowledge with Microsoft SQL.
• Understanding of HTML and CSS.a working knowledge of agile approaches.
• Good familiarity with version control tools like TFS and GIT.
• sms integration, image storage
• Strong analytical and problem-solving abilities.

●      2+ Years of experience of Android native development with Java and Kotlin

●      Experience in Android Studio IDE and tools like Android Device Monitor, Logcat

●      Hands-on experience on MVVM architecture pattern

●      Solid experience/understanding of OOPS concepts and Design patterns.

●      Knowledge on cross platforms like Flutter, React Native is an added advantage

●      Thorough knowledge of Android APIs and platform capabilities (location-based capabilities within apps)

●      Experience with offline storage, threading, and performance tuning

●      Proven knowledge of Android UI design principals, patterns, and best practices

●      Experience with publishing applications on Google Play Store and app signing process

●      Expertise in payment gateway and social media integration

●      Proficient understanding of code versioning tools, such as Git

●      Familiarity with CI/CD

●      Provide technical leadership and functional help working closely with team members

●      Design, implement and maintain application within all phases of the software development life cycle (SDLC) on Microsoft Azure (or AWS)

●      Independently carry out the activities without much of guidance

●      Create, understand, and validate design and estimates and be able to justify them

●      Applies knowledge of principles and techniques to solve technical problems.

●      Works closely with other functions to understand customer needs and to develop product roadmaps.

●      Translate design and wireframes into high-quality mobile applications.

●      Strong troubleshooting and analytical skills and detail oriented

●      Comprehensive understanding of OOPS concepts, data structures, algorithms and product development techniques and theories

●      Should be able to design schema for enterprise level applications

●      Should be able to apply design patterns

●      Should be open to face new challenges and learn new technologies

●      Experience with debugging, performance profiling and optimization

VIDEO EDITOR

Tesseract Esports is looking for an experienced Video Editor to provide to provide digital content such as frag movies, hype videos, highlights and various ancillary content for Esports. This role is responsible for pre and post-production of all video deliverables.

You will interact with creative and broadcast teams and other client staff to produce the deliverables for internal and external use. 

About Tesseract Esports

Tesseract Esports was founded in 2015 with an intent to elevate and transform the nascent gaming scene in South and Southeast Asia into a high profile and professional esport. We played a pioneering role by being the first to launch and introduce mobile esports in the region. We were also among the first to produce the biggest and most successful esports events and gaming activations in India at an unprecedented scale, paving the way for the growth of esports in the country.

We have since gone to partner with game publishers, developers, brands and media platforms to produce large scale esports events and engagements and become one of the leading esports production houses in the Asia-Pacific. We have worked with Qualcomm, MPL, Tencent Games, Razer, Garena, Acer and several other partners on many successful live and online esports activations. We are a growing team of highly skilled and passionate individuals focused on delivering the best competitive experiences. We are headquartered at our state of the art production studio in Hyderabad, India which also happens to be the largest esports facility in South Asia.

• Developer with 3-5 years of well-proven experience in Web UI & middleware REST API development using NodeJS and ReactJS
• Must be well versed with using anonymous functions, Prototypes, Call-back functions, promises in Node JS
• Experience in ReactJS component lifecycle and Redux
• Must be able to create and consume data from REST services.
• Experience in Babel and Webpack
• Must be familiar with Github and GitLab
• Must have strong experience in MYSQL, Postgres relational databases and MongoDB.
• Experience in HTML5, CSS3, SASS, LESS is an added advantage
• Experience in GCP, Azure, AWS cloud technologies is an added advantage
• Familiarity with continuous integration