Mobile automation tester

About MyOperator

MyOperator is a Business AI Operator platform that enables businesses, teams, and AI agents to work together seamlessly for customer operations such as Sales, Support, Escalations, Feedback, and Refund processes. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows including voice bots, WhatsApp automation, and intelligent call routing.

We are building for reliability, speed, and impact. MyOperator values ownership, critical thinking, and execution. This is a high-expectation, high-learning environment where engineers are empowered to solve complex problems and build systems that directly affect customer outcomes.

Role Overview

We are looking for a skilled and proactive Site Reliability Engineer (SRE) to take end-to-end ownership of production reliability, observability, and performance engineering across MyOperator’s AI-powered communication infrastructure.

This role is not operational-only — it requires strong system design thinking, deep troubleshooting ability, and a production ownership mindset. You will define reliability standards, build observability frameworks, lead incident response, and drive SLO-based engineering practices across distributed AWS and Kubernetes environments.

Key Responsibilities

• Own production reliability, uptime, latency, and error budgets across critical services.
• Design and manage production-grade monitoring using Grafana, VictoriaMetrics (Prometheus), and PromQl, AWS CloudWatch.
• Define and enforce SLIs, SLOs, and SLA thresholds for AI communication systems (voice bots, WhatsApp APIs, call routing).
• Build real-time operational dashboards for incident response, capacity planning, and leadership visibility.
• Implement end-to-end distributed tracing using OpenTelemetry (OTEL Collector).
• Design and maintain centralized logging with strong correlation between logs, metrics, and traces.
• Create SLO-based alerting systems with minimal noise and fast incident detection.
• Lead incident response lifecycle: alert triage, mitigation, RCA documentation, and preventive improvements.
• Drive MTTR reduction through structured monitoring, automation, and reliability engineering practices.
• Monitor and troubleshoot AWS EKS (Kubernetes) production workloads.
• Instrument and monitor LLM API integrations, AI inference pipelines, and messaging systems.
• Analyze logs using OpenSearch / ELK for anomaly detection and root cause identification.
• Automate operational workflows using Python or Bash to eliminate manual toil.
• Drive performance optimization, scalability improvements, and capacity planning.
• Collaborate with engineering teams to instrument new services from day one.

Required Skills & Qualifications

• 3–6 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• Hands-on experience with:
• VictoriaMetrics / Prometheus (time-series monitoring)
• Grafana dashboards and visualization
• PromQL for writing complex queries and alerts
• Experience implementing distributed tracing using OpenTelemetry (Mandatory).
• Strong experience with centralized logging systems (ELK / OpenSearch / Loki).
• Experience with alerting frameworks such as Alertmanager or Grafana Alerts.
• Strong understanding of SLIs, SLOs, SLA design, and reliability engineering principles.
• Hands-on experience managing AWS production workloads (EC2, RDS, ELB, CloudWatch, IAM).
• Experience with Kubernetes (AWS EKS preferred).
• Familiarity with CI/CD pipelines and automation tools.
• Good understanding of Linux systems, networking, and cloud infrastructure.
• Experience handling production incidents and participating in on-call rotations.
• Ability to automate operational tasks using Python or Bash.

Good to Have

• Experience with OpenSearch / ELK log pipelines and anomaly detection.
• Kubernetes monitoring (pod health, node metrics, autoscaling behavior).
• CI/CD observability integration (Jenkins, GitHub Actions).
• Experience in monitoring LLM APIs and AI inference pipelines.
• Familiarity with MLOps or AI observability tools (Arize, WhyLabs, etc.).
• Service mesh exposure (Istio).
• Infrastructure as Code (Terraform, CloudFormation).
• Experience with chaos engineering or load testing tools.
• Multi-cluster or multi-region architecture exposure.

Key Expectations

• Ownership of production systems and high availability.
• Strong troubleshooting and debugging skills.
• Focus on automation and reliability improvements.
• Proactive approach to incident prevention.
• Ability to reduce alert noise and improve signal quality.
• Data-driven approach to reliability engineering.

This Role Is Not For

• Candidates with purely development experience and no production ownership.
• Candidates without real incident response or on-call experience.
• Freshers or candidates with less than 3 years of experience.

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

Ideal Candidate

6+ years of experience selling B2B SaaS to US customers

Prior success as one of the first AEs at a startup; comfortable working in a fast-paced, early stage startup environment

Track record of consistently beating your quota

Solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early stage setup

Strong project management skills and proactiveness, given the long sales cycle and pilot (free trials) heavy nature of deals.

Strong first principles understanding of business fundamentals; Ability to understand the product at a granular level; Ability to empathise with the end user, and understand their pain points

Strong first principles understanding of different stages of the sales funnel, and experience with good CRM hygiene

Strong first principles understanding of sales processes e.g. MEDDPICC

Willingness to get your hands dirty and do the grunt work in the early days.

MANDATORY - Willing to work in the US time zone (~4 am IST) on weekdays (Mon-Fri) because the majority of our clients are based in the US. You have flexibility on when you want to start your day in the afternoon (IST), or take breaks (e.g. family time, gym etc). This role will require you to stretch outside your comfort zone.

Job Role: Customer Support Executive (Jaipur)

Location: Jaipur (On-site)

Employment Type: Full-time, Permanent

Shifts: Rotational; Night shifts as per business requirement

Experience: Freshers to 3 years

Compensation:

• International Process: ₹23,000 – ₹34,000 CTC/month
• Domestic Process (if applicable): ₹12,000 – ₹22,000 CTC/month

Role Overview

We are hiring Customer Support Executives for our International (Voice/Chat/Email) process in Jaipur. You will handle customer queries professionally, ensure timely resolution, and deliver a great customer experience.

Key Responsibilities

• Handle customer queries via phone calls, emails, and chats.
• Diagnose issues, provide accurate resolutions, and escalate when needed.
• Document interactions in CRM/tools and follow defined SLA/TAT.
• Collaborate with team/lead to improve customer satisfaction and KPIs.

Must-Have Skills

• Excellent English communication (spoken and written).
• Customer first mindset; active listening and problem-solving.
• Typing accuracy and basic computer proficiency.
• Willingness to work night/rotational shifts for international support.

Eligibility

• Undergraduates/Graduates/Postgraduates are welcome.
• Freshers and experienced candidates (up to 3 years) can apply.
• Immediate joiners preferred.

Benefits

• Cab facility for night shifts (as per company policy).
• One-time meal during shifts (as applicable).
• Performance incentives and growth opportunities.

Who we are:

Stanza Living is India’s largest and fastest growing tech-enabled, managed accommodation company that delivers a hospitality-led living experience to migrant students and young working professionals across India.

We have a full-stack business model that focuses on design, development and delivery of daily living solutions tailored to the young consumers’ lifestyle. From smartly-planned

residences, host of amenities and services for hassle-free living to exclusive community engagement programmes – everything is seamlessly integrated through technology to ensure the highest consumer delight.

Today, we are:

• India’s largest managed accommodation company with over 50,000 beds under management across 24+ cities

• Most capitalized player in the managed accommodation space, backed by global marquee investors – Falcon Edge, Equity International, Sequoia Capital, Matrix Partners, Accel Partners

• Recognized as the Best Real Estate Tech company across the Globe in 2020 by leading analysis agency, Tracxn

• LinkedIn Top Startup to Work for - 2022

The opportunity: Job Responsibilities:

• Perform data analysis on large volumes of data to identify trends and/or data processing rules

• Team player of core analytics team.

• Responsible for weekly and monthly Sales/Marketing Reports on Gross and Net basis and other adhoc reports.

• Generating reports on daily basis at all stages ·

• Analyze the data to come out with insights on what leads to better conversions, student preferences, role on various

investments and channels, optimizing the spend etc.

• Prepare reports and dashboard for various business functions to keep track of important business metrics.

• Elicit and document requirements at various levels including Business, Logical and Physical/Technical

Skill Sets

• Good hands-on Advanced Excel & SQL.

• Has extensively worked on live Dashboards, reporting, data manipulation and making flat tables in SQL

• Knowledge in Python/R

• Strong analytical skills and ability to interpret data

• Natural curiosity and self-drive to understand the broader business in order to provide the appropriate reporting support

• Extremely high ownership, self-starter and work in a constantly-changing and fast-growing environment

• Establish collaborative and trusting relationships with the business’s key internal leaders and stakeholders in order to ensure that there is a free flow of ideas and information across the business

• First principle thinking and strong problem solving

What Can You Expect:

• A phenomenal work environment, with extremely high ownership and growth opportunities

• Opportunity to shape a potential unicorn

• Quick iterations and deployments - fail-fast attitude

• Opportunity to work on cutting-edge technologies

• Access to a world-class mentorship network

achelor of Engineering or Technology; or any degree on par;

·  12-15 years of Experience in security and similar areas solution/product development, design, etc

·  Minimum 7-8 years of experience in an Enterprise or Cyber Security practice dedicated role

·  Experience in Enterprise deployment of security with in depth knowledge of security, implementing security solutions and working closely with global customer accounts.

·  Proficient with concepts like SOC, OWASP Top 10 etc

·  Understanding of Enterprise Cyber security models like Mitre ATTACK and roadmap modelling.

·  Excellent analytical and problem-solving skills to drive product development

·  Excellent communicator, whether writing, speaking or presenting

·  Experience gathering and analysing data to create useful metrics that support positive change

We seek to hire skilled Magento Developers who can add value to our hustling team.

Responsibilities:

Specializes in backend development.

Certified Magento developers will be prefered.

Strong PHP, MYSQL, OOPS, Javascript and RDBMS concept.

Experience in development, customization and integration on Magento 2.x

Developed & managed e-commerce websites using Magento Enterprise/community.

Should have strong knowledge of MVC architecture.

Eav Concepts must be clear.

Good Knowledge of UI components and knockout js.

Well aware of magento directory structure and purpose of each directory.

Should have good Communication skills.

Should have technical bent of mind

Should have problem solving, prioritizing tasks, multi-tasking abilities

Should be able to understand and handle tasks independently.

Ability to work to deadlines & as a team member.

Should be aware of current Magento coding guidelines.

Working knowledge of GIT

Must have knowledge of working on magento theme and its structure

Must be aware of magento code flow and magento core modules.

Should have have knowledge Rest api and graphQl

Experience in React js (Pwa Studio) will be prefered.

In this role, you will:

• Integrate user-facing elements developed by front-end developers.
• Build efficient, testable, and reusable PHP modules.
• Solve complex performance problems and architectural challenges.
• Integrate data storage solutions.

You may be a fit if you have:

• 2 – 4 years of experience in building PHP web frameworks such as Lavarel.
• Understand the fully synchronous behavior of PHP.
• Understanding of MVC design patterns
• A proficient understanding building rich UI & front-end technologies, such as JavaScript,

HTML5, and CSS3.

• Working knowledge of object-oriented PHP programming
• Understanding of accessibility and security compliance.
• Strong knowledge of the common PHP or web server exploits and their solutions.
• Experience in using fundamental design principles for a scalable application.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments.

• Knowledge of Integrating multiple data sources and databases into one system.
• Familiarity with limitations of PHP as a platform and its workarounds.
• Understanding of creating database schemas that represent and support business processes.
• Familiarity with SQL/NoSQL, Postgresql databases and their declarative query languages