11+ User Testing Jobs in Coimbatore | User Testing Job openings in Coimbatore

Job details: Fresher/Experience.

Pay Scale : As per Norms.

Location: Saravanampatti, Coimbatore.

Core Qualifications

• Educational Background: A Bachelor’s and Master’s degree in Computer Science, IT, or a related engineering field.
• Eligibility Exams: Clearing the UGC-NET (National Eligibility Test) or SLET/SET (State Level Eligibility Test) is a standard requirement in India.
• Ph.D. Requirement: A Doctorate is often required for long-term career progression and is mandatory for certain university-level appointments as per UGC norms.

1. Programming and Coding Languages

• Core Languages:
• Python – General-purpose, easy-to-learn, popular for data science, web development, automation, etc.
• JavaScript – Essential for web development (both frontend and backend).
• Java – Widely used in enterprise applications, Android development.
• C/C++ – Great for systems programming, high-performance computing.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

AEM Sites Developer

Pattem Digital Technologies is looking for a highly effective Adobe Experience manager(AEM) Developer to join our team. This person will utilize best practices and methodologies to design and implement the best solution for our clients. This key member of our team contributes to the entire software development lifecycle including analysis, requirement specification, use case and data modeling, technical design, development, testing, and implementation. This individual will be focused on delivering assigned tasks and/or specific tracks of the solution on time, escalating issues when appropriate as well as educating and leading others in the form of code reviews, workshops, and documentation.

Know your work :

• Build and maintain solutions for AEM (Sites, Assets). 
• Work in Agile Methodology - be part of Sprint Ceremonies, provide accurate estimates for assigned development Stories & deliver on time. 
• Follow Best and Recommended Practices while implementing solutions. 
• Ensure Code Quality, Readability, Maintainability and Security. 
• Coordinate with multiple teams (Ex: UI/QA) for any dependencies. 
• Write JUnit Test Cases for Unit Testing 
• Communicate with customer teams on requirements effectively. 
• Manage customer expectations of response time and issue resolution 
• Troubleshoot and reproduce the technical problems reported by customers and define workarounds. 
• Create and integrate content-driven applications on top of the AEM platform, and integrate with other systems.
• The AEM Developer provides technical leadership with a focus on CMS solutions. This Includes planning, guiding the design, estimation, user interface, people management, issue resolution and quality assurance. 
• Collaborate across disciplines and use their in-depth knowledge of AEM technology to help deliver business solutions for our clients.

What you need to apply :

• Good understanding of UI technologies like JQuery, Java Script, HTML 5, CSS. 
• Good understanding of backend technologies like Java EE, Servlets, JSP, Tag libraries, and JSTL skills, combined with a good understanding of Enterprise Java frameworks such as Spring, Spring Boot and Hibernate.
• Good understanding of CI/CD tools like Maven, Jenkins. 
• Good understanding of Code Quality and Security tools like SONAR. 
• Good understanding of Touch UI, Sightly (HTL) and Sling Models.
• Good understanding of AEM Backend Development like Sling Servlets, OSGi Components and JCR Queries. 
• Solid experience in problem analysis and resolution of technical problems.
• Ability to handle clients professionally during all interfaces. 
• Ability to work in extended hours to overlap with North America timings. 
• Strong written and verbal communication skills. 
• Minimum 3+ years of experience in AEM.
• 3-4 years of experience in CMS implementations with Adobe Experience manager(AEM).
• Hands-on work experience on Adobe 6.x versions.
• Knowledge in AEM foundational concepts, including the CRX repository, the AEM platform, the use of core frameworks such as Apache Sling and Apache Felix. 
• Knowledge on latest AEM features.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

1. Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

2. Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Why you’ll love being a ‘Searcian’

NOT your ‘usual’ management consultancy; we ‘solve differently’.

• We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
• The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
• No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
• No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
• No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
• Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
• Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
• Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
• You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
• Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

Job description

We are seeking a skilled Level 1/Level 2 SAS Administrator with at least 3 years of experience to provide technical support to our US-based clients. This is an onsite role requiring availability during night shifts (US time zones). The successful candidate will be responsible for managing and maintaining SAS environments, troubleshooting technical issues, performing installations and upgrades, and ensuring optimal system performance. This role demands strong analytical and problem-solving skills to resolve complex challenges while providing proactive and reliable support.

Key Responsibilities:

• SAS Environment Management: Administer SAS servers and tools, including configuration, performance tuning, and routine maintenance of SAS applications.
• SAS Grid Management: Manage SAS Grid environments, ensuring efficient workload balancing and high availability.
• Metadata Management: Manage SAS metadata, including user account creation, role assignment, permissions, and library configuration.
• Issue Troubleshooting: Diagnose and resolve SAS server and application issues such as performance bottlenecks, user access problems, and system errors.
• System Administration: Perform SAS installations, upgrades, hotfixes, and patch management across development, testing, and production environments.
• SAS Migration & Upgrade: Plan and execute SAS environment migrations and upgrades with minimal downtime.
• Batch Job Management: Schedule and monitor batch jobs using tools such as SAS Flow Manager or LSF to ensure timely data processing and adherence to SLAs.
• Backup and Recovery: Conduct regular metadata and system backups, validate backup integrity, and manage restoration processes during disaster recovery scenarios.
• Incident Management: Manage tickets (e.g., P1, P2) for SAS-related issues using ITSM tools like ServiceNow or JIRA, ensuring timely resolution and communication updates.
• Security Management: Implement and review security policies, renew SAS licenses and SSL certificates, and conduct periodic access audits.
• Monitoring and Maintenance: Monitor SAS server health, analyze usage metrics and logs, and proactively address potential issues.
• Documentation: Develop and maintain comprehensive documentation for SAS environment configurations, troubleshooting procedures, and operational processes.

Required Qualifications:

• Minimum of 3 years of hands-on experience in SAS Administration, managing enterprise-level SAS environments.
• Expertise in SAS tools such as SAS Management Console, SAS Enterprise Guide, and SAS Studio.
• Strong understanding of operating systems (Linux/UNIX, Windows) and database systems (e.g., Teradata, Oracle, SQL).
• Experience with batch job scheduling and monitoring tools (e.g., Flow Manager, BMC Control-M).
• Proven experience troubleshooting SAS environment issues, including metadata management and performance tuning.
• Experience in SAS Grid, SAS Metadata, SAS Migration, and SAS Upgrades.
• Excellent verbal and written communication skills, with the ability to effectively interact with US-based clients.
• Willingness to work onsite during night shifts in alignment with US time zones.

If you are a dedicated SAS Administrator looking to work in a challenging and rewarding environment, we encourage you to apply.

• Criteria : BCA / BSc/BE / BTech passouts
• Experience Required : 1 to 2 Years (Freshers Do Not Apply)
• Candidates should be ready to learn (Low-Code .NET based platform)
• Looking for immediate joiners only