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SAP Controlling Analyst

Callaway Golf is a growing collection of brands that blend of experience and diverse backgrounds, and our leaders have a strong history of building and selling successful initiatives. We are working to build a truly groundbreaking company, and we want top-notch people to join us in that mission.

JOB OVERVIEW

The Principal Analyst, SAP Controlling will be the functional lead for retail processes and capabilities and be an advocate for both business and technology decisions within our global IT organization.

This position is responsible for the design and management of business system solutions for Callaway Golf. We leverage ECC and SAP S/4. The incumbent will partner with corporate IT, business leaders and stakeholders to identify solutions to business needs, leveraging technology to add value to the company. 

Must have superior business relationship skills and functional knowledge with change management experience. Our company is going through a technology evolution and this role will be key to many of these initiatives. This role will need to be a strong team leader who can develop their own resources while building strong cross-team collaboration and solutions.

ROLES AND RESPONSIBILITIES

• Provide solutions for business needs in all areas of the company.
• Coordinate with corporate IT, vendors and business users on project deliverables
• Manage the design, development and implementation of global business solutions.
• Design solutions with innovation and ensuring the ability to deliver value over time.
• Manage the design for a matrix of plants and retail location and the related inventory movements
• Responsible to provide global visibility, collaboration, and analytics to business leaders.
• Establish, grow, and enhance collaborative relationships with regional business leads.
• Provide value-added input and alternatives and facilitate requirements definition whenever appropriate.
• Manage multiple projects/solutions for multiple business areas.
• Collaborate within the department to ensure alignment and adherence to stated goals.
• Collaborate with business areas to understand needs and develop or introduce solutions to maximize value.
• Leverage matrix approach to sharing of resources in support of business needs.
• Manage internal/external resources as “virtual” project teams.
• Act as an active change agent within the organization challenging the team and business to improve and excel.

TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities)

• Have the necessary level of expertise in the following SAP modules (preferably on S/4):

o  Expert – SAP CO – Product Costing

o  Expert – SAP CO – Profitability Analysis

o  Expert – SAP CO – Cost Center Accounting

o  Expert – SAP CO – Internal Orders

o  Strong – SAP FI – General Ledger

o  Strong – SAP FI – Accounts Receivable

o  Strong – SAP FI – Accounts Payable

o  Strong – SAP CO – Project Systems

o  Strong – SAP EC – Profit Center Accounting

o  Desired but not required – SAP Material Ledger

o  Desired but not required – SAP FSCM

o  Desired but not required – SAP Fixed Assets

o  Desired but not required – SAP EC-CS

• Expert Accounting experience – CMA or CA preferred
• Experience with SAP IS-Retail or IS-Fashion is a plus
• Business process skills to facilitate conversations about best practices and solutions
• Excellent management and leadership skills: people, process and technology.
• Demonstrated achievement in developing and maintaining business partnership at all levels and from varying cultures around the world.
• Strong interpersonal communication skills; flexibility; responsiveness.
• Participative management style, advocate team-based concepts.
• Diverse background with broad knowledge of solution platforms, custom development, package implementations to work on highly complex projects.

Understand client business requirements and translate them into technical solutions.

Conduct requirement gathering, analysis, solution design, and technical documentation.

Work closely with development, QA, infrastructure, and business teams throughout the project lifecycle.

Provide technical guidance and recommend suitable technologies, architectures, and solutions.

Participate in system integration, implementation, testing, deployment, and troubleshooting.

Analyze existing systems and identify opportunities for optimization and improvement.

Prepare technical specifications, solution documents, architecture diagrams, and project documentation.

Act as a technical point of contact for clients and internal stakeholders.

Identify technical risks, dependencies, and challenges and provide appropriate solutions.

Support pre-sales activities, including technical discussions, solution presentations, and proposal preparation when required.

Stay updated with emerging technologies, industry trends, and best practices.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Role & Responsibilities

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

Key Responsibilities-

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

Ideal Candidate

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in **Python or Bash**
• Understanding of monitoring, incident management, and cloud security basics

Nice to Have-

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Electrum is looking for an experienced and proficient DevOps Engineer. This role will provide you with an opportunity to explore what’s possible in a collaborative and innovative work environment. If your goal is to work with a team of talented professionals that is keenly focused on solving complex business problems and supporting product innovation with technology, you might be our new DevOps Engineer. With this position, you will be involved in building out systems for our rapidly expanding team, enabling the whole engineering group to operate more effectively and iterate at top speed in an open, collaborative environment. The ideal candidate will have a solid background in software engineering and a vivid experience in deploying product updates, identifying production issues, and implementing integrations. The ideal candidate has proven capabilities and experience in risk-taking, is willing to take up challenges, and is a strong believer in efficiency and innovation with exceptional communication and documentation skills.

YOU WILL:

• Plan for future infrastructure as well as maintain & optimize the existing infrastructure. 
• Conceptualize, architect, and build:
• 1. Automated deployment pipelines in a CI/CD environment like Jenkins;
• 2. Infrastructure using Docker, Kubernetes, and other serverless platforms; 
• 3. Secured network utilizing VPCs with inputs from the security team. 
• Work with developers & QA team to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional, and performance status.
• Work with developers to institute systems, policies, and workflows which allow for a rollback of deployments. 
• Triage release of applications/ Hotfixes to the production environment on a daily basis.
• Interface with developers and triage SQL queries that need to be executed in production environments.
• Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
• Assist the developers and on calls for other teams with a postmortem, follow up and review of issues affecting production availability.
• Scale Electum platform to handle millions of requests concurrently.
• Reduce Mean Time To Recovery (MTTR), enable High Availability and Disaster Recovery

PREREQUISITES:

• Bachelor’s degree in engineering, computer science, or related field, or equivalent work experience.
• Minimum of six years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructures such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail, and other services provided by AWS.
• At least 2 years of experience in building and owning serverless infrastructure.
• At least 2 years of scripting experience in Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible).
• Experience building a multi-region highly available auto-scaling infrastructure that optimizes performance and cost.
• Experience in automating the provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
• Must have prior experience automating deployments to production and lower environments.
• Worked on providing solutions for major automation with scripts or infrastructure.
• Experience with APM tools such as DataDog and log management tools.
• Experience in designing and implementing Essential Functions System Architecture Process; establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
• Experience establishing and enforcing:
• 1. System monitoring tools and standards
• 2. Risk Assessment policies and standards
• 3. Escalation policies and standards
• Excellent DevOps engineering, team management, and collaboration skills.
• Advanced knowledge of programming languages such as Python and writing code and scripts.
• Experience or knowledge in - Application Performance Monitoring (APM), and prior experience as an open-source contributor will be preferred.

• Solid understanding of IP network and TCP/IP
• Minimum of 7+ years’ work experience in IT
• Minimum of 4+ years experience as DevOps Enginneer
• Good interpersonal skills and communication written and oral.

POSITION SUMMARY:

We are looking for a passionate, high energy individual to help build and manage the infrastructure network that powers the Product Development Labs for F5 Inc. The F5 Infra Engineer plays a critical role to our Product Development team by providing valuable services and tools for the F5 Hyderabad Product Development Lab. The Infra team supports both production systems and customized/flexible testing environments used by Test and Product Development teams. As an Infra Engineer, you ’ll have the opportunity to work with cutting-edge technology and work with talented individuals. The ideal candidate will have experience in Private and Public Cloud – AWS-AZURE-GCP, OpenStack, storage, Backup, VMware, KVM, XEN, HYPER-V Hypervisor Server Administration, Networking and Automation in Data Center Operations environment at a global enterprise scale with Kubernetes, OpenShift Container Flatforms.

EXPERIENCE

7- 9+ Years – Software Engineer III

PRIMARY RESPONSIBILITIES:

• Drive the design, Project Build, Infrastructure setup, monitoring, measurements, and improvements around the quality of services Provided, Network and Virtual Instances service from OpenStack, VMware VIO, Public and private cloud and DevOps environments.

• Work closely with the customers and understand the requirements and get it done on timelines.

• Work closely with F5 architects and vendors to understand emerging technologies and F5 Product Roadmap and how they would benefit the Infra team and its users.

• Work closely with the Team and complete the deliverables on-time

• Consult with testers, application, and service owners to design scalable, supportable network infrastructure to meet usage requirements.

• Assume ownership for large/complex systems projects; mentor Lab Network Engineers in the best practices for ongoing maintenance and scaling of large/complex systems.

• Drive automation efforts for the configuration and maintainability of the public/private Cloud.  

• Lead product selection for replacement or new technologies

• Address user tickets in a timely manner for the covered services

• Responsible for deploying, managing, and supporting production and pre-production environments for our core systems and services.

• Migration and consolidations of infrastructure

• Design and implement major service and infrastructure components.

• Research, investigate and define new areas of technology to enhance existing service or new service directions.

• Evaluate performance of services and infrastructure; tune, re-evaluate the design and implementation of current source code and system configuration.

• Create and maintain scripts and tools to automate the configuration, usability and troubleshooting of the supported applications and services.

• Ability to take ownership on activities and new initiatives.

• Infra Global Support from India towards product Development teams.

• On-call support on a rotational basis for a global turn-around time-zones

• Vendor Management for all latest hardware and software evaluations keep the system up-to-date.

KNOWLEDGE, SKILLS AND ABILITIES:

• Have an in-depth multi-disciplined knowledge of Storage, Compute, Network, DevOps technologies and latest cutting-edge technologies.

• Multi-cloud - AWS, Azure, GCP, OpenStack, DevOps Operations

• IaaS- Infrastructure as a service, Metal as service, Platform service

• Storage – Dell EMC, NetApp, Hitachi, Qumulo and Other storage technologies

• Hypervisors – (VMware, Hyper-V, KVM, Xen and AHV)

• DevOps – Kubernetes, OpenShift, docker, other container and orchestration flatforms

• Automation – Scripting experience python/shell/golan , Full Stack development and Application Deployment

• Tools - Jenkins, splunk, kibana, Terraform, Bitbucket, Git, CI/CD configuration.

• Datacenter Operations – Racking, stacking, cable matrix, Solution Design and Solutions Architect 

• Networking Skills –   Cisco/Arista Switches, Routers, Experience on Cable matrix design and pathing (Fiber/copper)

• Experience in SAN/NAS storage – (EMC/Qumulo/NetApp & others)

• Experience with Red Hat Ceph storage.

• A working knowledge of Linux, Windows, and Hypervisor Operating Systems and virtual machine technologies

• SME - subject matter expert for all cutting-edge technologies

• Data center architect professional & Storage Expert level Certified professional experience .

• A solid understanding of high availability systems, redundant networking and multipathing solutions

• Proven problem resolution related to network infrastructure, judgment, negotiating and decision-making skills along with excellent written and oral communication skills.

• A Working experience in Object – Block – File storage Technologies

• Experience in Backup Technologies and backup administration.

• Dell/HP/Cisco UCS server’s administration is an additional advantage.

• Ability to quickly learn and adopt new technologies.

• A very very story experience and exposure towards open-source flatforms.

• A working experience on monitoring tools Zabbix, nagios , Datadog etc ..

• A working experience on and BareMetal services and OS administration.

• A working experience on the cloud like AWS- ipsec, Azure - express route, GCP – Vpn tunnel etc.

• A working experience in working using software define network like (VMware NSX, SDN, Openvswitch etc ..)

• A working experience with systems engineering and Linux /Unix administration

• A working experience with Database administration experience with PostgreSQL, MySQL, NoSQL

• A working experience with automation/configuration management using either Puppet, Chef or an equivalent

• A working experience with DevOps Operations Kubernetes, container, Docker, and git repositories

• Experience in Build system process and Code-inspect and delivery methodologies.

• Knowledge on creating Operational Dashboards and execution lane.

• Experience and knowledge on DNS, DHCP, LDAP, AD, Domain-controller services and PXE Services

• SRE experience in responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning.

• Vendor support – OEM upgrades, coordinating technical support and troubleshooting experience.

• Experience in handling On-call Support and hierarchy process.

• Knowledge on scale-out and scale-in architecture.

• Working experience in ITSM / process Management tools like ServiceNow, Jira, Jira Align.

• Knowledge on Agile and Scrum principles

• Working experience with ServiceNow

• Knowledge sharing, transition experience and self-learning Behavioral.