Business Development Executive (BDE/BDM)

• Audit technical, on‑page and off‑page issues; ship fixes that lift traffic and revenue.

• Create keyword maps, content briefs and internal‑linking plans using Ahrefs/GSC data piped through Python or n8n.

• Build workflows in n8n, Airops and Zapier to scrape SERPs, cluster queries, monitor logs and flag anomalies in real time.

• Deploy GPT‑4o / Claude via API to generate schema, outreach copy and QA at scale, maintaining EEAT.

• Guide devs on Core Web Vitals, hreflang, structured data and site architecture.

• Automate dashboards in Looker Studio/BigQuery for transparent reporting.

Job Description

Role Overview:

We're looking for a passionate DevOps engineer with a minimum of 10 years’ experience across all levels, who will work closely with the development teams in Agile setup to continuously improve, support, secure, and operate our production and test environments. We believe in automating our infrastructure as much as possible and pursuing challenging problems in a sustainable and repeatable way.

Our Toolchain

• Ansible, Docker, Kubernetes, Terraform, Gitlab, Jenkins, Fastlane, New Relic, Datadog, SonarQube, IaC
• Apache, Nginx, Linux, Ubuntu, Microservices, Python, Shell, Bash, Helm
• Selenium, Jmeter, Slack, Jira, SAST, OSSEC, OWASP
• Node.JS, PHP, Golang, MySQL, MongoDB, Firebase, Redis, Elastic search,
• VPC, API Gateway, Cognito, DocumentDB, ECS, Lambda, Route53, ACM, S3, EC2, IAM

You'll need:

• Production experience with distributed/scalable systems consisting of multiple microservices and/or high-traffic web applications
• Experience with configuration management systems such as Ansible, Chef, Puppet
• Extensive knowledge of the Linux operating system
• Troubleshooting skills that range from diagnosis to solution for Dev team issues
• Knowledge of how the web works and HTTP fundamentals
• Knowledge of IP networking, DNS, load balancing, and firewalling

Bonus points, if you have:

• Experience in agile development and delivery process.
• Good knowledge of at least one programming language. TecStub uses e.g. Nodes, PHP
• Experience in containerizing applications and deployment to production (Docker, Kubernetes)
• Experience in building modern Terraform infrastructures in cloud environments (AWS, GCP, etc...)
• Experience in analysis of application and database performance monitoring tools (Newrelic, datalog, cluster control, etc..)
• Experience with SQL databases like MySQL, NoSQL, Realtime database stores like Redis, or anything in between.
• Experience being part of the engineering team that built the platform.
• Knowledge of good security practices, including network security, system hardening, secure software, and compliance.
• Familiarity with automated build pipeline / continuous integration using Gitlab and Jenkins and Kubernetes/Docker with this setup, we're deploying to production 2 times per day!

Interview Process:

The entire interview process would take approximately 10 Days.

1. HR Screening Call (15 minutes)
2. Technical Interview Round Level 1 (30 Minutes)
3. Technical Interview Round Level 2 (60 minutes)
4. Final Interview Round (60 minutes)
5. Offer

About Tecstub:

Tecstub is a renowned global provider of comprehensive digital commerce solutions for some of the world's largest enterprises. With offices in North America and Asia-Pacific, our team offers end-to-end solutions such as strategic Solution Consulting, eCommerce website and application development, and support & maintenance services that are tailored to meet our clients' unique business goals. We are dedicated to delivering excellence by working as an extended partner, providing next-generation solutions that are sustainable, scalable, and future-proof. Our passionate and driven team of professionals has over a decade of experience in the industry and is committed to helping our clients stay ahead of the competition.

We value our employees and strive to create a positive work environment that promotes work-life balance and personal growth. As part of our commitment to our team, we offer a range of benefits to ensure our employees are supported and motivated.

• A 5-day work week that promotes work-life balance and allows our employees to take care of personal responsibilities while excelling in their professional roles.
• 30 annual paid leaves that can be utilized for various personal reasons, such as regional holidays, sick leaves, or any other personal needs. We believe that taking time off is essential for overall well-being and productivity.
• Additional special leaves for birthdays, maternity and paternity events to ensure that our employees can prioritize their personal milestones without any added stress.
• Health insurance coverage of 3 lakhs sum insured for our employees, spouse, and children, to provide peace of mind and security for their health needs.
• Vouchers and gifts for important life events such as birthdays and anniversaries, to celebrate our employees' milestones and show appreciation for their contributions to the company.
• A dedicated learning and growth budget for courses and certifications, to support our employees' career aspirations and encourage professional development.
• Company outings to celebrate our successes together and promote a sense of camaraderie among our team members. We believe that celebrating achievements is an important part of building a positive work culture.

Skills

AWS, Terraform, KUBERNETES, GITHUB, APACHE, BASH, DOCKER, ANSIBLE, GIT, Microservices, UBUNTU, GITLAB, CI/CD, APACHE SERVER, NGINX, NODEJS

We are looking for an enthusiastic technical sales executive to join our growing sales team. In this role, he/she will be required to source new customers from USA, UK, UAE & India, and business contacts, demonstrate the technical features of our products, drive sales, and maintain strong customer relations. 

Technical Sales Executive Responsibilities:  

• Sourcing potential new customers.  

• Actively seeking out new sales opportunities through cold calling, networking, and social media. 

• Setting up meetings with potential clients and listening to their wishes and concerns. 

• Negotiate/close deals and handle complaints or objections 

• Prepare and deliver appropriate presentations on products and services 

• Maintaining regular contact with existing customers.  

• Demonstrating the technical features and benefits of our products.  

• Advising customers on technology upgrades and related products.  

• Composing tender documents and customer proposals.  

• Maintaining strong customer relations.  

• Meeting sales targets.  

Technical Sales Executive Requirements:  

• Degree in business administration or related field.  

• Previous experience as a sales executive.  

• Strong knowledge of scientific and technical products.  

• Excellent interpersonal skills.  

• Strong communication skills.  

• Basic knowledge of computer systems and Office Software.  

• Ability to meet sales and commission targets.  

• Ability to travel.  

What you need to have:

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases