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Job Title : Senior SAP PPDS Consultant
Experience : 6+ Years
Location : Open to USI locations (Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon)
Job Type : Full-Time
Start Date : Immediate Joiners Preferred
Job Description :
We are urgently seeking a Senior SAP PPDS (Production Planning and Detailed Scheduling) Consultant with strong implementation experience.
The ideal candidate will be responsible for leading and supporting end-to-end project delivery for SAP PPDS, contributing to solution design, configuration, testing, and deployment in both Greenfield and Brownfield environments.
Mandatory Skills : SAP PPDS, CIF Integration, Heuristics, Pegging Strategies, Production Scheduling, S/4 HANA or ECC, Greenfield/Brownfield Implementation.
Key Responsibilities :
- Lead the implementation of SAP PPDS modules including system configuration and integration with SAP ECC/S4 HANA.
- Collaborate with stakeholders to gather requirements and define functional specifications.
- Design, configure, and test SAP PPDS solutions to meet business needs.
- Provide support for system upgrades, patches, and enhancements.
- Participate in workshops, training sessions, and knowledge transfers.
- Troubleshoot and resolve issues during implementation and post-go-live.
- Ensure documentation of functional specifications, configuration, and user manuals.
Required Skills :
- Minimum 6+ Years of SAP PPDS experience.
- At least 1-2 Greenfield or Brownfield implementation projects.
- Strong understanding of supply chain planning and production scheduling.
- Hands-on experience in CIF integration, heuristics, optimization, and pegging strategies.
- Excellent communication and client interaction skills.
Preferred Qualifications :
- Experience in S/4 HANA environment.
- SAP PPDS Certification is a plus.
- Experience working in large-scale global projects.
Principal DevOps Engineer
Note - Screening Requirement: Please note that this position requires a minimum of 8+ years of hands-on Architecting DevOps/SRE/Platform Engineering experience specializing in AWS, EKS/Kubernetes, Terraform, Python, Jenkins, and AI workflows (Mandatory skills) from scratch.
We are looking for an absolute builder who has a proven track record of personally architecting, designing and setting up production-grade AWS EKS clusters entirely from scratch. If your experience is primarily limited to managing, maintaining, or optimizing pre-existing environments that were already stood up by another team, this is not the right opportunity for you.
Who are we?
Securin is an AI-driven cybersecurity company focused on proactive, adversarial exposure and vulnerability management. Our mission is to help organizations reduce cyber risk by identifying, prioritising, and remediating the issues that matter most. Powered by a seasoned team of threat researchers and status as a Certified Naming Authority (CNA), Securin combines artificial intelligence / machine learning, threat intelligence, and deep vulnerability research (including the Dark Web) to deliver an adversarial approach to cyber defense. We help enterprises shift from reactive patching to strategic, risk-based exposure and vulnerability management – driving smarter security decisions and faster remediation.
What do we promise?
We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritized remediation for every one of our client businesses.
What do we provide?
● A chance to be on the leading edge of cybersecurity and AI
● Ability to have direct impact on company growth and revenue strategy
● An opportunity to mentor and be mentored by experts in multiple disciplines
What do we deliver?
Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks.
Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry.
Core Technology Stack
AWS , EKS / Kubernetes, Jenkins , Python ,Terraform ,CI/CD , AI
Key Responsibilities:
● Architect and manage the end-to-end SaaS platform infrastructure on AWS, including EKS cluster design, VPC networking, IAM, and multi-region availability.
● Build, maintain, and optimize Jenkins-based CI/CD pipelines and develop Python automation scripts for provisioning, deployments, and runbook automation.
● Define and enforce platform SLOs/SLAs; own the observability strategy across logging, metrics, and tracing.
● Manage and participate in the on-call rotation; act as escalation point for P1/P2 incidents and drive post-incident reviews.
● Drive Infrastructure-as-Code (IaC) practices with Terraform/CloudFormation and champions a culture of automation and operational excellence.
● Collaborate cross-functionally with product, security, and engineering teams to align infrastructure roadmap with business goals.
● Identify opportunities to leverage AI to automate operational and DevOps workflows.
● Design and implement AI-assisted solutions for incident triaging, root cause analysis, log analysis, and performance optimization.
● Drive the adoption of AI-powered tools for infrastructure management, deployment automation, monitoring, and troubleshooting.
● Build intelligent workflows that reduce manual effort in release management, capacity planning, and operational support.
● Integrate AI capabilities into CI/CD pipelines to improve code quality, deployment reliability, and operational efficiency.
● Collaborate with engineering teams to automate repetitive tasks and improve developer productivity.
● Define best practices and governance for the safe and effective use of AI across DevOps processes.
● Measure and report on productivity gains, operational improvements, and cost savings achieved through AI adoption.
Requirements:
● 8+ years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
● Deep hands-on expertise with AWS services (EC2, EKS, RDS, S3, IAM, VPC, CloudFront, Route53, Lambda, etc).
● Strong Kubernetes experience: cluster management, Helm, autoscaling (HPA/KEDA).
● Proficiency with Jenkins for complex CI/CD pipeline design and maintenance.
● Solid Python scripting skills for automation, tooling, and infrastructure management tasks.
● Experience with Infrastructure-as-Code using Terraform and/or AWS Cloud Formation.
● Proven track record of architecting and managing end-to-end SaaS products in a cloud-native environment.
● Strong understanding of networking fundamentals, security best practices, and compliance frameworks (SOC 2, ISO 27001 a plus).
● Hands-on experience with on-call processes and incident management frameworks.
Preferred Qualifications:
● AWS certifications: Solutions Architect Professional, DevOps Engineer Professional, or equivalent.
● Familiarity with service mesh, secrets management (Vault, AWS Secrets Manager), and zero-trust security models.
● Experience with multi-tenant SaaS architectures and tenant isolation strategies.
● Knowledge of FinOps principles and AWS cost management tooling.
● Experience with database DevOps: RDS, Aurora schema migrations, and backup strategies.
Core Competencies:
● Strategic Thinking – ability to translate business goals into scalable technical architecture.
● Operational Excellence – strong bias for reliability, automation, and continuous improvement.
● Communication – ability to clearly articulate complex technical topics to non-technical stakeholders.
● Ownership Mindset – proactively identifies and resolves risks without waiting to be asked.
● Resilience Under Pressure – calm and decisive during incidents; leads by example in high-stress situations.
Why should we connect?
We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion.
At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home.
If you are passionate about cybersecurity just as we are, we would love to connect and share ideas

Global Digital Transformation Solutions Provider
JOB DETAILS:
* Job Title: Specialist I - DevOps Engineering
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 7-10 years
* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram
Job Description
Job Summary:
As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.
The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.
Key Responsibilities:
- Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
- Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
- Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
- Define migration scope — determine how much history to migrate and plan the repository structure.
- Manage branch renaming and repository organization for optimized post-migration workflows.
- Collaborate with development teams to determine migration points and finalize migration strategies.
- Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.
Required Qualifications:
- Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
- Hands-on experience with P4-Fusion.
- Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
- Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
- Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
- Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
- Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
- Familiarity with CI/CD pipeline integration to validate workflows post-migration.
- Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
- Excellent communication and collaboration skills for cross-team coordination and migration planning.
- Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.
Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools
Must-Haves
Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)
Roles and Responsibilities:
- AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
- Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
- Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
- Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
- Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
- Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements.
Mandatory Skills:
- Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
- Strong proficiency in automated provisioning and cloud management.
- Experience with Infrastructure as Code tools, particularly Terraform and Packer.
- Solid understanding of CI/CD pipelines and version control systems.
- Strong scripting skills (e.g., Python, Bash) for automation tasks.
- Excellent problem-solving and troubleshooting skills.
- Good interpersonal and communication skills for effective collaboration.
Secondary Skills:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of microservices architecture and serverless computing.
- Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).
Job Description
What does a successful Senior DevOps Engineer do at Fiserv?
This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.
What will you do:
• Build, manage, and deploy CI/CD pipelines.
• DevOps Engineer - Helm Chart, Rundesk, Openshift
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.
• Implementing various development, testing, automation tools, and IT infrastructure
• Optimize and automate release/development cycles and processes.
• Be part of and help promote our DevOps culture.
• Identify and implement continuous improvements to the development practice
What you must have:
• 3+ years of experience in devops with hands-on experience in the following:
- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks
- Building docker images and running/managing docker instances
- Building Jenkins pipelines using groovy scripts
- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes
• Has good understanding on infrastructure as code
• Ability to write and update documentation
• Demonstrate a logical, process orientated approach to problems and troubleshooting
• Ability to collaborate with multi development teams
What you are preferred to have:
• 8+ years of development experience
• Jenkins administration experience
• Hands-on experience in building and deploying helm charts
Process Skills:
• Should have worked in Agile Project
Behavioral Skills :
• Good Communication skills
Skills
PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100
· Strong knowledge on Windows and Linux
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
Minimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure
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.
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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




