Team Lead Automation Engineer

Strong AI/ML Engineer Profile

Mandatory (Experience) : Must have 3+ years of experience in software engineering with atleast 1+ years in GenAI application development and production deployment

Mandatory (GenAI Application Development): Must have proven experience building GenAI applications covering RAG pipelines, multi-agent systems, Text2SQL, and fine-tuning

Mandatory (Production GenAI Deployment): Must have expertise deploying production-grade GenAI applications including model evaluation, optimisation, and ownership of full production rollouts

Mandatory (ML & Data Science Tooling): Must have strong hands-on experience with core ML and data science tools including pandas, scikit-learn, and PyTorch

Mandatory (Cloud ML Infrastructure): Must have experience building and deploying production-grade ML workloads on at least one of AWS, Azure, or GCP

Mandatory (Communication): Must have strong English communication skills with the ability to work across time zones and collaborate cross-functionally with product, engineering, and business stakeholders

Mandatory (Note 1) : Role is Hybrid, WFH flexibility as well upto 6 days a month

Mandatory (Note 2) : CTC is inclusive of 10% variable

Mandatory (Note 3): Candidates should be available to join within May 31st or June first week max

About Us:

MyOperator is India’s leading Cloud Telephony platform, empowering 40,000+ businesses to communicate smarter. We’re now expanding into Conversational AI and Chatbots, aiming to build intelligent customer engagement solutions from the ground up. We're seeking a Product Manager with hands-on experience in building AI-driven chatbot products who can lead this initiative from zero to launch.

Key Responsibilities:

• Chatbot Product Ownership: Lead the end-to-end development of our chatbot product, from ideation, architecture definition, and MVP launch to scale-up.
• Product Strategy & Roadmap: Define and own the chatbot product vision and roadmap aligned with business goals and customer needs.
• Requirement Documentation: Draft comprehensive Product Requirement Documents (PRDs) detailing user stories, workflows, and technical integrations (LLMs, APIs).
• Conversation Design & UX: Collaborate with UX teams to craft intuitive conversational flows and ensure a seamless user experience across WhatsApp, Web, and App.
• AI/ML Collaboration: Work closely with Data Science and Engineering teams to integrate LLMs (OpenAI, Vertex AI) for dynamic, context-aware interactions.
• Data-Driven Decisions: Utilize tools like Mixpanel, Google Analytics, and bot analytics platforms to monitor user behavior, define success metrics, and iterate features.
• Cross-functional Leadership: Partner with Tech, Sales, Marketing, and Customer Success teams to align product development with market demands and go-to-market strategy.
• Project Management: Drive agile processes using Jira, ensuring timely sprint deliveries, backlog grooming, and resolution of blockers.

Qualifications:

• Experience: 2+ years in Product Management, with direct experience in chatbot or conversational AI product development.
• AI & LLM Knowledge: Strong understanding of Large Language Models (LLMs), NLP technologies, and experience integrating AI-powered chatbots.
• Platform Ecosystem: Exposure to WhatsApp Business API ecosystem and conversational commerce tools.
• Mobile & Web Product Understanding: Ability to oversee chatbot deployment across mobile apps and web platforms.
• Analytical Skills: Proficient in product analytics using Mixpanel, Google Analytics, or Adobe Analytics.
• Project Management Tools: Experience with Jira or similar agile project management tools.
• Education: Bachelor’s degree in Computer Science, Engineering, or Business; MBA is a plus.
• Soft Skills: Strong problem-solving skills, data-driven mindset, excellent communication, and collaborative leadership.

Why Join Us?

• Lead the Chatbot Product from zero-to-one in a fast-growing SaaS environment.
• Work with a cross-functional, high-impact team on cutting-edge AI solutions.
• Career growth and leadership opportunities in Conversational AI domain.
• Competitive compensation, remote-first work culture, and collaborative environment.

Senior Systems Administrator JD – VPN

As a Senior Systems Administrator, you will be working to enhance and support the VPN, DNS and proxy infrastructure of a highly distributed network of systems that serve as the backbone of global VPN platforms. Your primary role will be to improve performance, create new solutions for scalability and enhance existing processes.

Professional Experience

• Senior-level Linux system administration in high-traffic, fault-tolerant environments (typically 5-7 years).
• Recent team lead or mentoring responsibility.

Technical Expertise

• Deep Linux knowledge (CentOS/RHEL or similar), strong command-line proficiency.
• Virtualization: KVM / QEMU.
• Containers & orchestration: Docker; Swarm/Kubernetes (EKS, ECS).
• Scripting & automation: Bash and Python.
• Experience with several of the following: Salt / Salt Stack, Ansible, Puppet, Terraform, Vault.
• CI/CD: GitLab pipelines and related tooling.
• Hands-on with tools such as: Prometheus, Grafana, Nagios, Elasticsearch, Logstash, Kibana (ELK).
• Datacenter infrastructure and performance tuning for optimal system health.

Networking & Security

• Strong understanding of TCP/IP, HTTP, DNS, routing, and packet analysis.
• Firewall and traffic control: iptables / ipsets.
• VPN protocols and proxy technologies: WireGuard, OpenVPN, StrongSwan.

Personal Attributes

• Self-starter who enjoys working independently and close collaboration with peers with minimal supervision.
• Eager problem solver who actively seeks process and performance improvements.
• Comfortable reading and writing technical documentation in English; day-to-day team communication is in English
• Service-oriented teammate with excellent verbal and written communication skills; able to convey complex technical concepts to non-technical stakeholders.

Desired (Nice-to-Have)

• Experience administering Elasticsearch/Grafana/Kibana clusters at scale.
• Familiarity with formal change-management policies and processes.
• Demonstrated success supporting or evolving multiple customer-facing security products.

Key Responsibilities

• Design, enhance, and maintain internet-security platforms (VPN, DNS, proxy) through robust tooling and automation.
• Augment system monitoring for better availability, visibility, alerting, and proactive capacity planning.
• Investigate, troubleshoot, and resolve production incidents surfaced by internal monitoring or external reports.
• Participate in architecture and design discussions to define scalable solutions for new and existing services.
• Deliver project work for new business initiatives: environment build-out, infrastructure upgrades, product enhancements, and new-feature rollouts.
• Collaborate with peers on complex technical challenges while also executing individual contributor tasks.
• Participate in an 1-in-5 on-call rotation covering evenings, weekends, and holidays as business needs dictate.

The Head - Artificial Intelligence & Embedded Systems plays a pivotal role in leading the labs strategic vision and operational excellence, fostering a culture of innovation and "learning by doing" among students. This individual is responsible for setting the labs strategic direction, managing a team of stream leaders, and ensuring the labs success in bridging the gap between academia and industry. As a thought leader and brand ambassador, the Head of the lab promotes the labs focus areas both internally and externally, embodying the qualities of leadership and innovation that inspire students and staff alike.

Key Responsibilities:

 Vision and Strategy:

 Develop and communicate a clear vision for the Innovation Labs, aligning with the institution’s strategic objectives.

 Set strategic goals for the lab, including defining key areas of focus, innovation strategies, and research priorities.

 Ensure the labs activities contribute to the broader academic and research missions of the institution.

 Leadership and Management:

 Lead and manage a team of stream leaders, fostering an environment of collaboration, innovation, and excellence.

 Drive a culture of "learning by doing", encouraging students and mentors to engage in hands-on, experiential learning. Impact key outcomes like placements, hackathon wins, patents etc.

 Oversee the labs operations, ensuring resources are effectively allocated and managed to support its goals.

 Ensure that the academia-innovation labs gap is bridged. 

 Innovation Lab - Industry Interface:

 Build and maintain strong relationships with industry partners, facilitating collaborations that enhance the labs research and innovation projects.

 Serve as a key liaison between the lab and academic departments, promoting interdisciplinary industry relevant research and learning opportunities.

 Lead initiatives to secure funding, sponsorship, and partnerships that support the labs activities and growth.

 Brand Ambassador and Thought Leadership:

 Act as a brand ambassador and thought leader, representing the Innovation Labs at conferences, seminars, and public forums.

 Promote the labs achievements and projects through various channels, enhancing its reputation and visibility.

 Foster a network of alumni, industry leaders, and academic peers to support and engage

with the labs work.

 Mentorship and Role Modeling:

 Serve as a mentor and role model for students and mentors, inspiring them to pursue innovation and excellence.

 Encourage the development of leadership skills among lab members, particularly stream leaders and emerging talents.

 Support a learning environment that values diversity, inclusivity, and personal growth.

Skills and Qualifications:

 Advanced degree in a relevant field (e.g., Engineering, Computer Science, Business

Administration) or equivalent experience in innovation management.

 Proven leadership experience in managing research or innovation labs, particularly in an academic or similar setting.

 Deep technical expertise in AI/ML and/or embedded systems with a passion for continuous learning.

 Strong strategic thinking and planning skills, with the ability to translate vision into actionable plans.

 Excellent relationship-building skills, with experience in academia-industry partnerships.

 Demonstrated success in securing funding, sponsorships, or partnerships.

 Exceptional communication and public speaking skills, capable of engaging a wide range of audiences.

 Deep understanding of the latest trends and technologies in areas relevant to the labs focus.

Job Location: Coimbatore, Tamil Nadu

Pay Scale: As per norms

Role & Responsibilities:

• Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
• Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
• Transform business and design needs into innovative products.
• Drive all projects to completion within deadlines.
• Perform thorough testing to find issues ahead of time.
• Engineering software needs more precise analysis & coding skillset 
• Enhance skill set by working with fortune 500 clients
• Interacting with internal team.

 Qualifications:

• B.E in computer science or related fields.
• Hand on development experience with web & database technologies (MS SQL).
• Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
• Ability to work at the tactical and strategic levels of IT initiatives.
• Impressive hands-on experience in .Net technologies. Impressive hands-on experience and knowledge with C#, SQL, JSON, XML, Win Forms & MVC, Angular, JavaScript, jQuery , HTML/CSS.
• Self-Motivated, flexible & Innovative.

• Working knowledge of Node-Sync, callback hell and ways to control asynchronous behavior of Node functions.
• Strong command on ES6(EcmaScript) or Javascript and its concepts like prototypes, call back, closures etc
• Should have deep understanding of Native Node.js, Express.js, HAPI.js and middlewares.
• Candidates must have proper understanding and command on RESTful API development and consumptions.
• Candidates must know to use promises, async-await to control synchronization of business logic components.
• Candidates must have knowledge of JWT, oAuth and passport.js for user authentication.
• Candidates must have knowledge of GIT, Bit-bucket.
• Candidates must have knowledge of application deployment.
• Experience with NoSQL databases eg mongodb (preferred).

Have at least 2 years of experience with two or more development languages. Experience

working on Python is a MUST and that on JAVA is nice to have.

• Experience in building web platform with Angular 9+ (React could be an alternative) is a MUST
• Experience in building applications with containerization like Docker and Kubernetes
• Experience in writing relatively complex DB queries (preferably SQL Server, MySQL). Experience working on No-SQL DB is nice to have.

• Experience in building RESTful APIs using Python and web frameworks such as Spring MVC, Flask
• Experience in working in any of the ORM tools like SQLAlchemy, SQLObject, Storm, Django
• Skillful in writing high-quality, well-tested code
• Proficient in Object-Oriented programming
• Comfortable with Agile methodologies, such as Scrum, Kanban
• Experience in working with JavaScript frameworks (such as ag-Grid, D3) to build in-app reports is nice to have

• Key competencies required: Problem-Solving, Analytical, Collaboration, and Accountability
• An influencer by always advocating for technical excellence and innovation while being open to change when needed

• Resilient in ambiguous situations and can approach challenges from multiple perspectives
• Advantage if has a working knowledge of cloud technology such as AWS, Azure
• Efficiently utilize DevOps tools and practices to build and deploy software
• Have knowledge of Test Driven Development