Automation Testing

About the Role

We are looking for a detail-oriented Content Editor to join our growing marketing team. You will be responsible for reviewing, editing, and optimizing content across blogs, landing pages, website copy, emails, social media, and marketing assets. The ideal candidate has a strong command of English, understands SEO best practices, and can transform good content into high-performing content.

If you have a passion for storytelling, exceptional editing skills, and experience working with AI-assisted content creation, we'd love to hear from you.

Key Responsibilities

• Edit and proofread blog articles, website content, landing pages, emails, ebooks, and other marketing collateral.
• Ensure all content is grammatically correct, factually accurate, and aligned with the company's brand voice.
• Optimize content for SEO, including keywords, headings, metadata, internal linking, and readability.
• Review AI-generated content and refine it to ensure originality, clarity, and a human-first writing style.
• Collaborate with content writers, SEO specialists, designers, and product marketers to deliver high-quality content.
• Maintain editorial guidelines, style guides, and publishing standards.
• Publish and format content in WordPress or other CMS platforms.
• Update and refresh existing content to improve rankings and relevance.
• Verify statistics, claims, and references before publication.
• Ensure content is delivered on schedule while maintaining high quality standards.
• Monitor content performance and recommend improvements based on analytics.
• 
  

Requirements

• Bachelor's degree in English, Journalism, Communications, Marketing, or a related field.
• 2-5 years of experience in content editing, copy editing, or editorial roles.
• Exceptional written and spoken English.
• Strong understanding of SEO fundamentals and content optimization.
• Experience editing long-form and short-form digital content.
• Familiarity with WordPress or other Content Management Systems.
• Experience with tools such as Google Docs, Grammarly, Google Search Console, Google Analytics, Ahrefs, Semrush, or similar SEO platforms.
• Comfortable working with AI writing tools such as ChatGPT, Claude, or Gemini.
• Excellent attention to detail and time management skills.
• Ability to manage multiple projects in a fast-paced environment.
• 
  

Preferred Qualifications

• Experience editing content for B2B SaaS or technology companies.
• Understanding of lead generation, inbound marketing, and content marketing.
• Basic knowledge of HTML and on-page SEO.
• Experience with content performance analysis and optimization.

What You'll Bring

• Strong editorial judgment and attention to detail.
• Ability to simplify complex topics into engaging content.
• A collaborative mindset with excellent communication skills.
• A passion for producing high-quality content that drives business results.

Why Join Us?

• Opportunity to work with a fast-growing B2B SaaS company.
• Collaborative and learning-focused work environment.
• Ownership of impactful content initiatives.
• Exposure to SEO, AI-powered content workflows, and growth marketing.
• Career growth opportunities as the company scales.

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.
• 
  

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

What will you do?

Governance and Policy Development   

·         Develop, implement, and maintain governance policies, SOPs, and related documentation. 

·         Ensure all policies align with industry standards (e.g., FedRAMP, NIST SP 800-53, ISO 27001 family, and HIPAA). 

·         Monitor policy effectiveness and recommend updates based on organizational changes or regulatory updates. 

Risk Management   

·  Conduct risk assessments to identify vulnerabilities, threats, and compliance gaps. 

·  Collaborate with cross-functional teams to design and implement remediation strategies. 

·  Maintain risk registers and monitor mitigation efforts. 

Compliance Oversight   

·  Support the organization in achieving and maintaining FedRAMP certification. 

·  Manage periodic audits, security assessments, and readiness activities for compliance frameworks. 

·  Track and report on compliance metrics, audit findings, and resolution status. 

Training and Awareness   

·  Develop and deliver training programs to enhance employee understanding of compliance policies and procedures. 

·  Act as a point of contact for compliance-related queries within the organization. 

Incident Response and Reporting   

·  Support incident response processes to ensure effective investigation and reporting of compliance-related incidents. 

·  Collaborate with stakeholders to implement corrective actions and prevent recurrence. 

Vendor and Third-Party Risk Management   

·  Assess third-party vendors for compliance with organizational policies and standards. 

·  Ensure contracts include appropriate compliance requirements. 

What do you bring to the table?

Education & Experience   

·  Overall 12- 15 years of relevant experience

·  Bachelor's degree in Information Technology, Cybersecurity, Risk Management, or related field (Master’s preferred). 

·  3+ years of experience in governance, risk, and compliance roles, with specific experience in FedRAMP compliance.  

Knowledge & Skills   

·  Strong understanding of FedRAMP, NIST SP 800-53, ISO 27001, and other relevant frameworks. 

·  Experience in drafting policies, procedures, and SOPs. 

·  Familiarity with GRC tools and platforms (e.g., Archer, ServiceNow GRC). 

·  Excellent communication and documentation skills. 

·  Analytical mindset with attention to detail. 

Certifications (Preferred)   

·  Certified Information Systems Security Professional (CISSP) 

·  Certified Information Systems Auditor (CISA) 

·  Certified Information Security Manager (CISM) 

·  ISO 27001 Lead or Internal auditor

Position: Marketing Manager

CTC: 7 LPA - 9 LPA

Work Location: HRBR Layout, Bangalore, Karnataka

Key Performance Indicators:

• Marketing Qualified Leads
• Growth in Website Visitors
• RoI on Digital & Offline Marketing Campaigns
• Improve the Performance of Digital Marketing Channels (Email, BPN, WPN, Social Media etc)
• Generate Leads through Event Participation or other Channels

Key Responsibilities:

• Create and manage content for the Companies social media handles, emails, and other forms of digital communication
• Preparing periodic marketing plan- monthly quarterly
• Making Marketing budgets
• Meeting marketing revenue targets
• Generating expected Mqls
• Handling branding and sales promotional campaigns
• Stay up to date on the latest social media trends, and implement them in Companies marketing campaigns.
• Prepare reports and analytics on the overall performance of various marketing campaigns, including ROIs and KPIs

Marketing Channels:

• Browser Push Notifications
• Web Push Notification
• Email, SMS, WhatsApp
• Social Media - Facebook, LinkedIn, Twitter, Instagram
• Blog & Other guest posting platforms
• Trade Promotional Events

Skills & Ability:

• Social media savvy, with a passion for staying on top of trends
• Strong sense of creativity, and innovation to create and develop content.
• Strong project management and managerial skills
• Ability to multitask.

Technical Skills:

Knowledge of the following tools are added advantages

• SEO and SEM strategy and keyword research
• Word press blogging
• Facebook, LinkedIn, Instagram business page management
• Canva for image editing
• Browser push notifications software
• Web-push notifications
• Google Docs
• GetSiteControl

Education & Experience:

• MBA (Marketing) is preferred
• Experience: 3 to 5 Years of experience in Digital Marketing
• Location: Bangalore (Work from office only)

Additional Benefits:

• Health Insurance is provided
• Meal allowance is provided
• Performance based incentives

Job Types: Full-time, Permanent

Pay: ₹700,000.00 - ₹900,000.00 per year

Benefits:

• Health insurance

Schedule:

• Day shift

Supplemental Pay:

• Performance bonus

Ability to commute/relocate:

• Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required)

Education:

• Master's (Preferred)

Experience:

• total work: 1 year (Preferred)
• Digital marketing: 3 years (Required)

Srijan is hiring for a Scrum Master/Senior Scrum Master role with a permanent WFH option.

A notice period of 30 days or less is preferred.
Remote working option available.


Roles and Responsibility:

 Backlog Maintenance

• Create and Manage Backlog
• Backlog grooming: Manage/Update “sprint-backlog” and “project-backlog” regularly after client calls and demos
• Plans forward-looking technology investigations (spikes / POC)
• After each sprint demo work with the dev team to estimate and re-estimate the backlog
• Facilitate prioritization of backlog first time;
• Facilitate prioritization of backlog during planning n+1 sprint with client
• Creating mock-ups/wireframes/Sketch images to illustrate or to detail for getting clarity from the client, and for communicating the task to the dev team
• Use JIRA for all backlog (no use of Google spreadsheets)

Daily Stand-ups

• Drive daily-stand-ups
• Ask what was done yesterday, what is the plan for today
• Ask probing questions in the stand-ups and outside of it
• Identify potential roadblocks or challenges that may come up
• Consult Group Lead and raise your concerns
• Implement advice by GL
• Ensure that the team is working towards completion of the sprint; each stand-up well did, will suggest if the velocity is enough to complete Sprint or no
• (Maintain and) Update the “information radiator board (with stickies)” for all sprints

Sprint Demos

• Run sprint demos
• Calls must be marked on the client and team’s calendar; no ambiguity in when calls happen
• Every member must be present on calls at least 2-mins before the scheduled time on the calendar; be the first to join the call as moderator
• If you are unable to join, ensure that the session is recorded; if it cannot be recorded, ensure the team has captured all feedback during the demo

Business Analysis

• Understand the business of the client and the project
• This will enable you to question business needs that clients communicate
• Validate and record agreements in stories, acceptance criteria
• Create mock-ups/wireframes/Sketch annotations to illustrate or to detail --  for getting clarity from the client; and for communicating the task to the dev team -- put these in stories in JIRA

Project Management

• The Plan -- Do -- Check -- Act (Complete control on the project)
• Create Physical boards “information radiator board (with stickies)
• Plan deliverables (JIRA/Sprint) along with the team
• Organize the Sprint, get re-estimates done,
• Plan Sprint n+1 with the client -- prepared stories for the n+1 sprint to be taken up by dev team; work with QA in
• Learn to read JIRA Burndown Charts to know if the project is on time or is there likely to be a delay
• If there is likely to be a delay, speak to the Agile Coach / Group Lead to decide the nature of communication to be sent to the client
• Release Planning - define release goals

Quality Assurance

• Detail out stories with acceptance criteria
• Ensure all stories have acceptance criteria
• Work with QA in improving quality of acceptance criteria
• Work towards zero-defect sprints
• Defect triage - accept/reject
• Support the Dev+QA team in testing yourself
• Use JIRA for all these activities
• Drive testing strategy
• Deliver stories piecemeal for testing throughout the sprint
• Validate technical architecture by asking relevant questions

Stakeholder Management

• Send out weekly Status emails to internal and external clients -- must be on SM’s calendar
• Red, Amber, Green status
• Budget consumption
• Key activities this week
• Pre-empt and document roadblocks that you/team foresee
• Raise/Flag issues to clients and work aggressively within the team/org to mitigate this
• Coach clients on agile/scrum, our model, align them on our practices, using Jira, etc

Engineering Practices

• Drive towards Unit Testing
• Drive towards Continuous Integration (CI) using Jenkins; leads to a clear release and deployment strategy/plan
• Piecemeal UAT strategy
• Drive Intrinsic quality like Code, stories written, test scenarios written
• Continuously monitor and improve them. Question people on them
• Use Jira rigorously to track stories, defects, and manage it end to end.

People, Process and Tool Coach

• Coach people to improve in their role
• Challenge and question people on the way they are working to make it better
• Run sprint-retros
• During retros listen for “cause” behind the words; by asking probing questions
• Continuously strive to improve yourself
• Handhold team on Scrum way of doing
• Strategize which tool to use for what purposes.

• 8+ years of experience as a Scrum Master
• Must have experience leading a team of around 15-20 team members in an Agile environment.
• Experience working in multi-geo or offshore environment
• JIRA experience
• Excellent verbal, written, and presentation skills
• Proven success in delivering projects within budget and specified timeframes, while ensuring customer satisfaction
• Proven problem-solving skills from problem assessment to solution selection
• Ability to identify alternatives and make contingency plans
• Capacity to embrace change and quickly adapt to new situations, changes in direction, and altering priorities
• Proven ability to thrive in a fast-paced, dynamic environment
• Ability to handle multiple projects and assignments
• Ability to demonstrate critical thinking, providing options and recommendations relating to resolving issues, mitigating risks, and resolving escalated items.
• CSM (Certified) or PMP (Certified) Good to have

Rules & Responsibilities:

• Design, implement and maintain all AWS infrastructure and services within a managed service environment
• Should be able to work on 24 X 7 shifts for support of infrastructure.
• Design, Deploy and maintain enterprise class security, network and systems management applications within an AWS environment
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security
• Manage the production deployment and deployment automation
• Implement process and quality improvements through task automation
• Institute infrastructure as code, security automation and automation or routine maintenance tasks
• Experience with containerization and orchestration tools like docker, Kubernetes
• Build, Deploy and Manage Kubernetes clusters thru automation
• Create and deliver knowledge sharing presentations and documentation for support teams
• Learning on the job and explore new technologies with little supervision
• Work effectively with onsite/offshore teams

Qualifications:

• Must have Bachelor's degree in Computer Science or related field and 4+ years of experience in IT
• Experience in designing, implementing, and maintaining all AWS infrastructure and services
• Design and implement availability, scalability, and performance plans for the AWS managed service environment
• Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability, and security
• Hands-on technical expertise in Security Architecture, automation, integration, and deployment
• Familiarity with compliance & security standards across the enterprise IT landscape
• Extensive experience with Kubernetes and AWS(IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB)
• Solid understanding of AWS IAM Roles and Policies
• Solid Linux experience with a focus on web (Apache Tomcat/Nginx)
• Experience with automation/configuration management using Terraform\Chef\Ansible or similar.
• Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML
• Experience in managing and working with the offshore teams
• Familiarity with CI/CD systems such as Jenkins, GitLab CI
• Scripting experience (Python, Bash, etc.)
• AWS, Kubernetes Certification is preferred
• Ability to work with and influence Engineering teams

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler