SAP Controlling Analyst

About MyOperator

MyOperator is a Business AI Operator, a category leader that unifies WhatsApp, Calls, and AI-powered chat & 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 Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount.

Job Summary

We are looking for a skilled and motivated DevOps Engineer with 3+ years of hands-on experience in AWS cloud infrastructure, CI/CD automation, and Kubernetes-based deployments. The ideal candidate will have strong expertise in Infrastructure as Code, containerization, monitoring, and automation, and will play a key role in ensuring high availability, scalability, and security of production systems.

Key Responsibilities

• Design, deploy, manage, and maintain AWS cloud infrastructure, including EC2, RDS, OpenSearch, VPC, S3, ALB, API Gateway, Lambda, SNS, and SQS.
• Build, manage, and operate Kubernetes (EKS) clusters and containerized workloads.
• Containerize applications using Docker and manage deployments with Helm charts
• Develop and maintain CI/CD pipelines using Jenkins for automated build and deployment processes
• Provision and manage infrastructure using Terraform (Infrastructure as Code)
• Implement and manage monitoring, logging, and alerting solutions using Prometheus and Grafana
• Write and maintain Python scripts for automation, monitoring, and operational tasks
• Ensure high availability, scalability, performance, and cost optimization of cloud resources
• Implement and follow security best practices across AWS and Kubernetes environments
• Troubleshoot production issues, perform root cause analysis, and support incident resolution
• Collaborate closely with development and QA teams to streamline deployment and release processes

Required Skills & Qualifications

• 3+ years of hands-on experience as a DevOps Engineer or Cloud Engineer.
• Strong experience with AWS services, including:
• EC2, RDS, OpenSearch, VPC, S3
• Application Load Balancer (ALB), API Gateway, Lambda
• SNS and SQS.
• Hands-on experience with AWS EKS (Kubernetes)
• Strong knowledge of Docker and Helm charts
• Experience with Terraform for infrastructure provisioning and management
• Solid experience building and managing CI/CD pipelines using Jenkins
• Practical experience with Prometheus and Grafana for monitoring and alerting
• Proficiency in Python scripting for automation and operational tasks
• Good understanding of Linux systems, networking concepts, and cloud security
• Strong problem-solving and troubleshooting skills

Good to Have (Preferred Skills)

• Exposure to GitOps practices
• Experience managing multi-environment setups (Dev, QA, UAT, Production)
• Knowledge of cloud cost optimization techniques
• Understanding of Kubernetes security best practices
• Experience with log aggregation tools (e.g., ELK/OpenSearch stack)

Language Preference

• Fluency in English is mandatory.
• Fluency in Hindi is preferred.

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Required Qualifications

● Experience:

○ 5+ years of hands-on experience as a DevOps Engineer or similar role, with

proven expertise in building and customizing Helm charts from scratch (not just

using pre-existing ones).

○ Demonstrated ability to design and whiteboard DevOps pipelines, including

CI/CD workflows for microservices applications.

○ Experience packaging and deploying applications with stateful dependencies

(e.g., databases, persistent storage) in varied environments: on-prem (air-gapped

and non-air-gapped), single-tenant cloud, multi-tenant cloud, and developer trials.

○ Proficiency in managing deployments in Kubernetes clusters, including offline

installations, upgrades via Helm, and adaptations for client restrictions (e.g., no

additional tools or VMs).

○ Track record of handling client interactions, such as asking probing questions

about infrastructure (e.g., OS versions, storage solutions, network restrictions)

and explaining technical concepts clearly.

● Technical Skills:

○ Strong knowledge of Helm syntax and functionalities (e.g., Go templating, hooks,

subcharts, dependency management).

○ Expertise in containerization with Docker, including image management

(save/load, registries like Harbor or ECR).

○ Familiarity with CI/CD tools such as Jenkins, ArgoCD, GitHub Actions, and

GitOps for automated and manual deployments.

○ Understanding of storage solutions for on-prem and cloud, including object/file

storage (e.g., MinIO, Ceph, NFS, cloud-native like S3/EBS).

○ In-depth knowledge of Kubernetes concepts: StatefulSets, PersistentVolumes,

namespaces, HPA, liveness/readiness probes, network policies, and RBAC.

○ Solid grasp of cloud networking: VPCs (definition, boundaries, virtualization via

SDN, differences from private clouds), bare metal vs. virtual machines

(advantages like resource efficiency, flexibility, and scalability).

○ Ability to work in air-gapped environments, preparing offline artifacts and

ensuring self-contained deployment

Job Description

We are seeking a seasoned DevOps Architect to join our dynamic team. The ideal candidate should possess a deep understanding of DevOps principles, system design, and architecture, with a focus on creating robust and scalable infrastructure solutions through automation. This role requires a candidate with hands-on experience in development, testing, and deployment processes. Additionally, the candidate should have a minimum of 5 years of experience in DevOps operations and should be proficient in team management, coordination, problem-solving, troubleshooting, and technical expertise.

About the company:

A rapidly growing omni-channel luxury retailer with eight stores across Mumbai, Delhi, Kolkata and a global e-commerce platform servicing 65+ countries worldwide. The 18-year-old company is an established market leader with considerable brand equity.

Location: Prabhadevi, Mumbai

Key Responsibilities:

• System Design and Architecture: Develop robust and scalable system designs that align with business requirements and industry best practices.
• Automation: Implement automation solutions to streamline processes and enhance system reliability.
• Development, Testing, and Deployment: Oversee the entire software development lifecycle, from code creation to testing and deployment.
• Coordination and Issue Resolution: Collaborate with cross-functional teams, resolve technical issues, and ensure smooth project execution.
• Troubleshooting: Apply your technical expertise to diagnose and resolve complex system issues efficiently.
• Interpersonal Skills: Communicate effectively with team members, stakeholders, and management to ensure project success.
• Ecommerce (B2C) Expertise: Bring in-depth knowledge of Ecommerce (B2C) operations to tailor DevOps solutions to our specific needs.
• Infrastructure Automation: Design and implement infrastructure automation tools and workflows to support CI/CD initiatives.
• CI/CD Pipeline Management: Build and operate complex CI/CD pipelines at scale, ensuring efficient software delivery.
• Cloud Expertise: Possess knowledge of handling GCP/AWS clouds, optimizing cloud resources, and managing cloud-based applications.
• Cybersecurity: Ensure that systems are safe and secure against cybersecurity threats, implementing best practices for data protection and compliance.

Requirements

Qualifications:

• Bachelor's degree in Computer Science or related field (Master's preferred).
• Minimum 5 years of hands-on experience in DevOps operations.
• Has worked to ensure system reliability, scale & performance in high growth environments.
• Experienced in designing and implementing scalable and robust IT solutions.
• Strong technical background and proficiency in DevOps tools and practices.
• Experience with Ecommerce (B2C) platforms is mandatory.
• Excellent team management, coordination, and interpersonal skills.
• Proficiency in troubleshooting and issue resolution.
• Familiarity with the latest open-source technologies.
• Expertise in CI/CD pipeline management.
• Knowledge of GCP/AWS cloud services.
• Understanding cybersecurity best practices.

Benefits

• Group Mediclaim cover 2.5 L sum assured (Employee + Spouse + 2 Children) & Group Personal Accident – 5 L sum assured.
• Rewards & Recognition programmes

About the Role:

We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.

Key Responsibilities:

Cloud Management:

• Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
• Ensure high availability, scalability, and security of cloud resources.

Containerization & Orchestration:

• Develop and manage containerized applications using Docker.
• Deploy, scale, and manage Kubernetes clusters.

CI/CD Pipelines:

• Build and maintain robust CI/CD pipelines to automate the software delivery process.
• Implement monitoring and alerting to ensure pipeline efficiency.

Version Control & Collaboration:

• Manage code repositories and workflows using Git.
• Collaborate with development teams to optimize branching strategies and code reviews.

Automation & Scripting:

• Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
• Write scripts to optimize and maintain workflows.

Monitoring & Logging:

• Implement and maintain monitoring solutions to ensure system health and performance.
• Analyze logs and metrics to troubleshoot and resolve issues.

Required Skills & Qualifications:

• 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
• Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
• Hands-on experience building and managing CI/CD pipelines.
• Proficient in using Git for version control.
• Experience with scripting languages such as Bash, Python, or PowerShell.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Solid understanding of networking, security, and system administration.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Preferred Qualifications:

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
• Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
• Familiarity with serverless architectures and microservices.

About the job

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
• 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary
• Work Remotely
• Health insurance
• Unlimited Time Off
• Support for continual learning (free books and online courses)
• Reimbursement for streaming services (think Netflix)
• Reimbursement for gym or physical activity of your choice
• Flex hours
• Leveling Up Opportunities

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database