Lead UI/UX Designer

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in

2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its

clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL,

Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a

company.

Job Role: Manual Software Tester

Experience Level: 1 - 2 years

Location: Bangalore, On-site

Job Overview:

As a Software Tester, you will collaborate closely with project developers, business analysts, and the team to ensure that our software solutions meet and exceed user expectations. You will be

responsible for developing test cases, performing various types of testing, conducting root cause analysis on defects, and contributing to the continuous improvement of our software testing processes. Additionally, you will evaluate the functioning of the website and provide valuable feedback.

Key Responsibilities:

1. Collaboration and Requirement Analysis:

- Work collaboratively with project developers, business analysts, and the team members to

understand software requirements and user expectations.

2. Testing and Defect Management:

- Perform root cause analysis on defects found during testing to identify underlying issues and

potential project risks.

- Conduct exploratory and usability testing to proactively discover and report bugs before software

release.

- Execute comprehensive testing against the software to ensure all features function as designed

and meet intended user needs.

3. Website Functionality Check and Feedback:

- Regularly evaluate the functionality of the website to ensure it meets usability standards and user

expectations.

- Provide constructive feedback to developers and stakeholders regarding the website's

performance, user interface, and overall user experience.

4. Documentation and Reporting:

- Document test results, track defects, and provide clear and concise reports on testing progress

and outcomes to stakeholders.

- Communicate effectively with cross-functional teams to ensure alignment on testing results,

feedback, and priorities.

Qualifications:

● Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work

experience).

● Proven experience as a Software Tester or Quality Assurance Analyst.

● Strong understanding of software testing methodologies, tools, and processes.

● Experience in developing and executing test cases based on requirements and specifications.

● Ability to perform root cause analysis and effectively mitigate project risks related to defects.

● Proficiency in conducting exploratory testing and usability testing to identify potential issues.

● Excellent analytical and problem-solving skills with meticulous attention to detail.

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.

1.      Core Responsibilities

·        Leading solutions for data engineering

·        Maintain the integrity of both the design and the data that is held within the architecture

·        Champion and educate people in the development and use of data engineering best practises

·        Support the Head of Data Engineering and lead by example

·        Contribute to the development of database management services and associated processes relating to the delivery of data solutions

·        Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.

·        Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise

·        Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.

·        Provide support for the scoping and delivery of BI capability to internal users.

·        Identify risks and issues and escalate to Line / Project manager. 

·        Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.

·        Develop and maintain documentation in support of all BI processes.

·        Proactively identify cost-justifiable improvements to data manipulation processes.

·        Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.

·        Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.

·        Demonstrate enthusiasm and self-motivation at all times.

·        Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.

·        Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years Data Engineering / ETL development experience is essential

·        5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential

·        5 years experience of working in a structured Change Management project lifecycle is essential

·        Experience of working in a financial services environment is desirable

·        Experience of dealing with senior management within a large organisation is desirable

·        5 years experience of developing in conjunction with large complex projects and programmes is desirable

·        Experience mentoring other members of the team on best practise and internal standards is essential

·        Experience with cloud data platforms desirable (Microsoft Azure) is desirable

3.      Knowledge Requirements

·        A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential

·        Strong demonstrable knowledge of data warehouse methodologies

·        Robust understanding of high level business processes is essential

·        Understanding of data migration, including reconciliation, data cleanse and cutover is desirable

Responsibilities

1. Create data funnels to feed into models via web, structured and unstructured data
2. Maintain coding standards using  SDLC, Git, AWS deployments etc
3. Keep abreast of developments in the field
4. Deploy models in production and monitor them
5. Documentations of processes and logic
6. Take ownership of the solution from code to deployment and performance

• Developing new product features
• Working on developing https://www.productmanagerhq.com/2018/10/product-strategies-for-switching-costs/">product strategies
• Problem Solving 
• Communication
• Analytical
• Project Management

• As an APM, you will be reporting to Product Owners. Our product is at a very young age, and hence has a long way to go. As an APM, you get to work on the vision of the product and get direct involvement with the ideation and implementation of product features. The key responsibilities of this position will be:
• Collecting quantitative https://www.productmanagerhq.com/2018/06/data-driven-vs-data-informed/">product data and metrics
• Synthesizing https://www.productmanagerhq.com/2018/08/effective-user-interviews/">customer research
• Gathering product https://www.productmanagerhq.com/2014/10/what-is-a-user-story/">requirements and aligning them with business goals
• Coordinating with https://www.productmanagerhq.com/2015/04/how-to-work-with-stakeholders-as-a-pm/">stakeholders to achieve the product vision