Business Development Manager

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.

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Key Skills Required

• 5–7 years of experience in Oracle Fusion Cloud Applications
• Strong hands-on experience in:
• BI Publisher (BIP)
• OBIEE reports
• AP Payment Templates
• Experience in minimum 2 end-to-end implementations including:
• Fusion Finance implementations
• Rollouts, upgrades, lift & shift
• Managed services projects
• Good process and table-level knowledge of Fusion Financial modules:
• GL, AP, AR, FA, Cash Management
• Intercompany, Expenses, Procurement
• Experience with Flexfields and Extensions
• Hands-on experience in Unit Testing & UAT support
• Experience in data upload/migration using FBDI / ADFDI
• Strong communication and client-handling skills
• Ability to independently conduct client workshops

- Coordinate project management activities, projects, people, communications

- Handle customer communications through emails, tickets and conference calls

- Serve as the project coordinator, maintaining timelines and ensuring accurate delivery dates.

- Supervise current projects and coordinate all team members to keep workflow on track

- Monitor and report on the progress of project to all stakeholders especially our customers

- Coordinate project schedules, resources, equipment and information for internal teams

- Act as the main point of contact and communicate project status to all stakeholders

- Organize, attend, and participate in stakeholder meetings

- Document meeting notes and follow up on action items and decisions from meetings

- Organize and maintain project materials such as documents, designs etc

- Provide operational support as needed

This is what you need to qualify:

- Proven 1 year work experience as a Project Coordinator or similar role in Information Technology (IT) related projects

- Outstanding communication and interpersonal skills.

- Basic understanding of Information Technology concepts required. Intermediate knowledge of IT hardware, software, and networking beneficial.

- Strong client-facing and teamwork skills.

- Excellent organizational and time-management skills.

- Attention to detail and strong work ethics

Desired skills and education requirement:

- 1 to 4years of related experience in marketing calls preferably real estate associates/ Bachelors degree.

- Should be comfortable to work from office.

- Excellent English and Hindi.

- Communication skills.

- Convincing skills.

Roles and responsibilities:

- Dialling enquiries and understanding the requirements and sharing relevant information about the properties.

- Updating all the information and scheduling property visits.

- Responding outbound and inbound calls.

- Scheduling follow-up calls and ensuring the clients are contacted.

- Cross pitching properties based on client requirement.

- Allocating leads to respective sales executive and collecting feedback.

- Ensuring all enquiries with feedback are updated regularly in the software.

- Supporting the sales team in pre-sales activities.

Role - Lead- Backend Engineering

Work Mode- Hybrid

Location- Thane, Mumbai.

About the Company: 

Ventura is an omnichannel trading and investment platform with a network of branches, sub-brokers and Digital Channels. Founded in 1994, the company is now entering the next phase of growth by pivoting to a digital-first approach and strengthening its direct-to-consumer franchise. The company has now carved out a separate fintech vertical tasked with digital transformation using cutting-edge technology and bringing in fresh talent. 

Job Description: 

We are looking for a Backend Engineering lead whose highly talented individuals come from diverse backgrounds and are looking to solve real client problems at scale. We are looking for passionate techies with skills primarily around AWS and the latest tech stack who are aspiring for a fast-track career.

Join us if you like to:

· Build out a next-gen fintech product from ground 0

· Opportunity to influence the design of the product

· Flexible and Hybrid work environment running out of Slack

· Flat org structure

· Stay up-to-date on industry trends and emerging technologies

We’ll need you to bring:

· Bachelor's degree in Engineering or Master's degree in CS/ IT.

· 7+ years of experience 

· Clean coding skills around C++/Python/NodeJS/Go.

· Knowledge of Redis.

· Experienced in SQL with Postgres and Good to have Influx DB.

· Knowledge of NGINX or any other API gateway.

· Strong AWS skills, techies with certifications from AWS are particularly encouraged to apply - AWS API Gateway, Route53, Lambda, EC2, RDS, SQS, CloudWatch, Cognito, QuickSight

Demonstratable experience around writing testable code, working with git, doing peer-level code review, daily standups, and generally championing software excellence

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to work on, helping to enhance our product performance and reliability.

Responsibilities:

• Build & operate infrastructure to support website, backed cluster, ML projects in the organization.
• Helping teams become more autonomous and allowing the Operation team to focus on improving the infrastructure and optimizing processes.
• Delivering system management tooling to the engineering teams.
• Working on your own applications which will be used internally.
• Contributing to open source projects that we are using (or that we may start).
• Be an advocate for engineering best practices in and out of the company.
• Organizing tech talks and participating in meetups and representing Box8 at industry events.
• Sharing pager duty for the rare instances of something serious happening.
• Collaborate with other developers to understand & setup tooling needed for Continuous Integration/Delivery/Deployment (CI/CD) practices.

Requirements:

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing amounts of traffic and new product requirements.
• Ruby On Rails or Python and Bash/Shell skills.
• Experience managing complex systems at scale.
• Experience with Docker, rkt or similar container engine.
• Experience with Kubernetes or similar clustering solutions.
• Experience with tools such as Ansible or Chef Understanding of the importance of smart metrics and alerting.
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch).
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers.
• Managing large scale production grade infrastructure on AWS Cloud.
• Good Knowledge on scripting languages like ruby, python or bash.
• Experience in creating in deployment pipeline from scratch.
• Expertise in any of the CI tools, preferably Jenkins.
• Good knowledge of docker containers and its usage.
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu.

Good to have:

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka, Elasticsearch.