Client serving or Brand Communication

Technical Support Engineer

About the Role:

We're looking for a Technical Support Engineer to join our team and serve as the critical bridge between our customers and engineering team. This role combines customer-facing support with hands-on technical troubleshooting, requiring someone who can both empathise with user challenges and dive into code to identify and resolve issues.

You'll be the first line of technical defence, investigating customer-reported issues, reproducing bugs, reading through our codebase to understand root causes, and working closely with the development team to implement fixes. This is ideal for someone who enjoys problem-solving, loves helping people, and wants to leverage their technical skills in a customer-focused role.

Key Responsibilities:

Technical Investigation & Bug Identification

• Review application logs, error messages, and stack traces to diagnose issues
• Read and navigate through our MERN stack codebase to understand system behaviour
• Reproduce reported bugs in staging/development environments
• Identify whether issues stem from code bugs, configuration problems, infrastructure issues, or user error
• Perform root cause analysis and provide technical insights to the engineering team

Monitoring & Proactive Support

• Monitor AWS infrastructure health and application performance metrics
• Identify patterns in support tickets that may indicate broader system issues
• Collaborate with engineering on bug fixes and verify resolutions in production
• Test new features from a customer perspective before release

Required QualificationsTechnical Skills

• Strong understanding of web application architecture and software engineering principles
• Hands-on experience with the MERN stack (MongoDB, Express.js, React, Node.js)
• Ability to read and understand JavaScript/TypeScript code
• Experience with AWS services (ECS, S3, Lambda, CloudWatch, RDS, etc.)
• Familiarity with RESTful APIs, HTTP protocols, and debugging API requests
• Understanding of database concepts and ability to write basic MongoDB and SQL queries
• Experience with Git and version control concepts
• Knowledge of browser developer tools for debugging frontend issues

Soft Skills

• Excellent written and verbal communication skills with ability to explain technical concepts to non-technical users
• Strong analytical and problem-solving mindset
• Patience and empathy when dealing with frustrated customers
• Self-motivated with ability to manage multiple issues simultaneously
• Detail-oriented with good documentation habits

Experience

• 1+ years in technical support, customer success, or similar role
• 1+ years working with or around software development teams
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Nice to Have

• Experience with AWS troubleshooting and CloudWatch logs analysis
• Familiarity with containerization (Docker) and CI/CD pipelines
• Previous experience in a SaaS or platform company
• Experience with monitoring tools (Datadog, New Relic, Sentry, etc.)
• Exposure to agile development methodologies

What You'll Work With

• Frontend: React.js applications with modern JavaScript/TypeScript
• Backend: Node.js/Express.js APIs
• Database: MongoDB, MySQL
• Infrastructure: AWS (various services)
• Tools: GitHub, JIRA, Slack
• Environment: Fast-paced with direct access to engineering team

AI Lead (Backend Systems & Architecture)

This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.

At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.

You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.

What You’ll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
• Own systems end-to-end: architecture, development, deployment, and scaling
• Build reliable, high-performance distributed systems
• Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
• Lead backend and AI initiatives with strong technical ownership
• Ensure performance, scalability, observability, and cost efficiency
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to build AI-native solutions

What We’re Looking For

• Proven experience in architecting and scaling backend systems end-to-end
• Strong expertise in Python (Django / Flask / FastAPI)
• Deep understanding of distributed systems and system design
• Hands-on experience with AWS or GCP in production environments
• Solid experience working with LLMs (Claude, GPT, etc.)
• Strong knowledge of:
• Retrieval-Augmented Generation (RAG)
• Vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience in building and managing microservices architectures
• Ability to lead teams, mentor engineers, and drive technical excellence
• Strong problem-solving skills with an ownership mindset

Nice to Have

• Experience building AI agents or autonomous systems
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• Understanding of 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 in fast-moving, ambiguous environments
• You stay updated with the latest advancements in AI and backend technologies

This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.

Required Qualifications:

•           Bachelor’s degree in Computer Science, Engineering, or a related field.

•           5+ years of overall software development experience; minimum 4+ years in RPA development (UiPath, Blue Prism, or Automation Anywhere).

•           Deep understanding of healthcare industry processes (EMR/EHR, claims processing, eligibility, compliance, etc.) is highly preferred.

•           Proven ability to manage full RPA deployment including bots, orchestrators, and system integrations in enterprise environments.

•           UiPath Advanced Developer or similar RPA certifications are a plus.

•           Solid problem-solving, analytical, and communication skills.

Preferred Skills:

•           Integration of RPA with AI/ML technologies or cloud platforms (Azure, AWS, GCP).

•           Strong experience with scripting (Python, PowerShell, etc.), SQL, and integration via REST/SOAP APIs.

•           Understanding of process improvement methodologies (Lean, Six Sigma).

•           Track record of designing reusable components and frameworks, especially in a regulated healthcare environment.

•           Strong documentation and stakeholder management abilities.

Soft Skills:

•           Strong communication and interpersonal skills for cross-functional collaboration.

•           Ability to mentor, lead, and motivate technical teams.

•           Exceptional organizational and multitasking skills, especially in fast-paced and dynamic work environments.

As a Pre-Sales Solutions Engineer, you will play a critical role in the sales process by demonstrating SmartWinnr’s products and solutions to prospective customers. You will work closely with the sales team to understand client requirements, craft tailored demonstrations, and effectively communicate the value of our offerings. This role requires a combination of technical understanding, excellent communication skills, and the ability to present solutions in a way that resonates with diverse stakeholders.

Responsibilities include but are not limited to:



• Conduct product demonstrations and presentations tailored to the needs and interests of potential customers.
• Collaborate closely with the sales team to understand customer requirements and propose the right product solutions.
• Assist in creating and customizing demo environments and scenarios that highlight the product’s key features.
• Provide technical support during the pre-sales process, addressing any technical questions or concerns that arise.
• Document and maintain records of all customer interactions, demo sessions, and feedback for continuous improvement.
• Work with the product team to relay customer feedback and help refine product offerings.
• Assist in the preparation of proposals and other sales-related documentation.

Responsibilities :

Professional Experience

• 2–5 years of experience in pre-sales, solutions engineering, or technical consulting.
• Proven track record of supporting B2B sales cycles and delivering effective product demonstrations.

Skills & Tools

• Strong presentation, communication, and interpersonal skills.
• Familiarity with SaaS products, technical integrations, and solution design.
• Proficiency with CRM platforms (preferably Pipedrive) and productivity tools like MS Office or Google Workspace.

Personal Attributes

• Customer-focused with a consultative approach to problem-solving.
• Proactive, adaptable, and quick to learn in dynamic environments.
• Collaborative team player with a positive attitude and growth mindset.

Job Description

• Build pixel-perfect, buttery smooth UIs
• Leverage native APIs for deep integrations
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality

Requirements

• 2+ years of relevant industry experience in React Native
• A deep understanding of JavaScript
• Familiarity with video recording, playback, and uploading libraries
• Experience with Native Android app deployment
• Familiarity with modern front-end build pipelines and tools
• Familiarity with RESTful APIs
• Familiarity with code versioning tools (such as Git)

1. Managing Availability, Performance, Capacity of infrastructure and applications.
2. Building and implementing observability for applications health/performance/capacity.
3. Optimizing On-call rotations and processes.
4. Documenting “tribal” knowledge.
5. Managing Infra-platforms like Mesos/Kubernetes, CICD, Observability (Prometheus/New

Relic/ELK, Databases, Data Platforms Infrastructure

1. Providing help in onboarding new services with a production readiness review process.
2. Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
3. Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
4. Working with the Dev team to have in depth understanding of the application architecture and

its bottlenecks.

1. Identifying observability gaps in product services, infrastructure and working with stake owners

to fix it.

1. Managing Outages and doing detailed RCA with developers and identifying ways to avoid that

situation.

1. Managing/Automating upgrades of the infrastructure services.
2. Automate toil work.
3. A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.

• Experience with tracking and improving critical KPIs on a dashboard.
• Content is going to be a huge part of our marketing efforts. Having experience in driving relevant traffic from content and measuring conversion and ROI from it is required.
• Strong understanding of how to drive relevant traffic from channels like Facebook, Instagram, Pinterest, search – both organic and paid.
• Practical experience with email marketing is a must. Proficiency with marketing tools & technologies like email automation, landing page design and instrumentation, and A/B testing are a must.
• Strong sense of product as you’ll be a key influencer in how the product shapes over time.
• Creative thinker, story-teller and problem solver with attention to detail.
• Bachelor’s degree, preferably a master’s degree is required.
• Hands on experience in the eCommerce domain, especially on the seller side.
• Understand how to build and nurture a community of users, advocates and influencers and use this to amplify the word of mouth for the product.
• Exceptional writing skills, ability to edit and proofread content for clarity, grammar and accuracy.
• Hands on experience or comfortable with any or all of the following: SQL, HTML, CSS, JavaScript or programming in any language is a strong plus.
• Any experience with data sciences and analytics, R or python.
• Knowledge of or experience with UI/UX, graphics design or product management.
• US education is a strong plus. All customers are in the US to having spent time there and cultural familiarity is helpful.