Creative Designer

What makes Techjays an inspiring place to work

At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.

We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.

Our strength lies in combining deep backend engineering with AI system design, building AI-native platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready.

Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.

We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.

You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.

Years of Experience: 5 - 8 years

Location: Remote/ Coimbatore

Key Skills:

• Backend Development (Expert): Python, Django/Flask, RESTful APIs, Websockets
• Cloud Technologies (Proficient): AWS (EC2, S3, Lambda), GCP (Compute Engine, Cloud Storage, Cloud Functions), CI/CD pipelines with Jenkins/GitLab CI or Github Actions
• Databases (Advanced): PostgreSQL, MySQL, MongoDB
• AI/ML (Familiar): Basic understanding of Machine Learning concepts, experience with RAG, Vector Databases (Pinecone or ChromaDB or others)
• Tools (Expert): Git, Docker, Linux

Roles and Responsibilities:

• Design, development, and implementation of highly scalable and secure backend services using Python and Django.
• Architect and develop complex features for our AI-powered platforms
• Write clean, maintainable, and well-tested code, adhering to best practices and coding standards.
• Collaborate with cross-functional teams, including front-end developers, data scientists, and product managers, to deliver high-quality software.
• Mentor junior developers and provide technical guidance.

What We’re Looking For Beyond Skills

• Builder mindset — you think in systems, not just tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous environments
• Clear communication and collaborative approach
• Ability to work in a fast-paced, evolving startup environment

What We Offer

• Competitive compensation
• Flexible work environment (Remote / Coimbatore office)
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems
• Exposure to global clients and high-impact projects
• A culture that values clarity, integrity, and continuous growth
• 
  

If you want to build AI-native systems that are used in the real world, not just prototypes, Techjays is the place to do it.

Survey Form Link

Job Description

      The ideal candidate will possess expertise in Core Java (at least Java 8), Spring framework, JDBC, threading, database management, and cloud platforms such as Azure and GCP. The candidate should also have strong debugging skills, the ability to understand multi-service flow, experience with large data processing, and excellent problem-solving abilities.

JD:

1. Develop, and maintain Java applications using Core Java, Spring framework, JDBC, and threading concepts.
2. Strong understanding of the Spring framework and its various modules.
3. Experience with JDBC for database connectivity and manipulation
4. Utilize database management systems to store and retrieve data efficiently.
5. Proficiency in Core Java8 and thorough understanding of threading concepts and concurrent programming.
6. Experience in in working with relational and nosql databases.
7. Basic understanding of cloud platforms such as Azure and GCP and gain experience on DevOps practices is added advantage.
8. Knowledge of containerization technologies (e.g., Docker, Kubernetes)
9. Perform debugging and troubleshooting of applications using log analysis techniques.
10. Understand multi-service flow and integration between components.
11. Handle large-scale data processing tasks efficiently and effectively.
12. Hands on experience using Spark is an added advantage.
13. Good problem-solving and analytical abilities.
14. Collaborate with cross-functional teams to identify and solve complex technical problems.
15. Knowledge of Agile methodologies such as Scrum or Kanban
16. Stay updated with the latest technologies and industry trends to improve development processes continuously and methodologies.

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

• At least 4 to 7 years of relevant experience as Big Data Engineer
• Hands-on experience in Scala or Python
• Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
• Strong programming experience in building applications/platform using Scala or Python.
• Experienced in implementing Spark RDD Transformations, actions to implement business analysis

We are a stealth startup (founded by IIT-IIM alums) building a niche gamified parental community and market place for parents of children aged 0-12 years. We are looking for a CTO/Co-founder who has significant consumer facing app build experience (4+ years app building, 6-7 years overall experience) with comfort around React Native, Java, Node JS, Mango DB etc. Tech leaders from Hyderabad would be given preference (not necessary).

This role will drive operations on focused contractual agreements while working with a team of highly motivated, technical individuals who work in a collegial, collaborative work environment. Your key role is leading and coordinating a multisite VMWare operation ensuring systems and resources remain operational. In addition, you would contribute to the analysis and formulation of strategic performance direction across all areas of responsibility.

Primary Responsibilities

• Support the full system engineering life-cycle of VMware infrastructure: requirements analysis, design, development, integration, testing and implementation
• Manage and maintain multiple vCenter, vSphere, ESXi systems to include VSAN clusters
• Ensure security patching and system hardening are maintained to meet integrity and availability requirements
• Maintain system resource optimization based on analysis of hosted systems
• Draft and review information security policies, standards, and procedures.
• Complete risk and vulnerability assessment at the network, system, and application level.
• Complete regular situational awareness reports and daily monitoring

Desired Certifications / Training:

• VMware VCP or higher
• System Admin / Data Center Admin Training 

EDUCATION & EXPERIENCE:  

• Requires BE
• 1.5 +  – 7  years of prior relevant experience

Target Closure of Hiring  

• 12th Dec 2022

• 4 L to 16 L INR 

• No

• as per Shift  on Roaster

• Mumbai

As Lead Software Engineer, we are looking for a person who loves to engineer design specs into usable interactions. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the development team to understand and bridge the gap between graphical design and technical implementation, taking an active role and defining how the application looks as well as how it works.

This is an innovative role and requires a candidate who is extremely motivated, dedicated, and passionate about development. It's a high growth opportunity to be part of a fast-growing startup!

Key Responsibilities :

- Build scalable web applications using MERN Stack
- Convert visual designs to UI elements with an acute eye for detail and design fidelity
- Make web applications responsive and cross-browser compatible
- Optimize application performance and reduce page loading speed
- Collaborate with various teams to develop new features
- Ability to work under pressure and deliver projects with tight deadlines
- Implement unit tests and integration tests to drive development efficiency.

Requirements :

- 3 years of work experience comprising of Backend(preferably NodeJS), Frontend (React/Angular) and Software Design/Architecture
- 2+ years experience building Production grade applications on ReactJS or Angular - STRICT REQUIREMENT
- Expertise in building UI components in a reusable manner.
- Knowledge of messaging services like Apache Kafka, RabbitMQ
- Experience in integrating REST APIs and developing data processing pipelines
- Experience in distributed web services development and chaining
- Understanding of cloud services like AWS and GCP
- Experience with DevOps technologies such as Docker, Kubernetes, Jenkins, CI/CD, etc
- Experience in working with Mapping Library like Google Maps, Mapbox or Leaflet is a plus.

Salary - 4-6.5 lpa