Docker
Kubernetes
Amazon Web Services (AWS)
Python
NodeJS (Node.js)
PHPDevOps Engineer
KNOLSKAPE is looking for a DevOps Engineer to help us build Educational platforms and products that make learning experiential for leaders of the world.
DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in working with cloud technologies, setting up efficient deployment processes, and are motivated to work with diverse and talented teams, we’d like to meet you.
Ultimately, you will execute and automate operational processes fast, accurately, and securely.
Skills and Experience
- 2+ years of experience in building infrastructure experience with Cloud Providers ( AWS / Azure / GCP)
- Build and Deployment Management (Gitlab).
- Experience in writing automation scripts using Shell, Python, and Terraform based.
- Good experience in building pipelines with YAML-based knowledge of the GitLab environment.
- System Administration skill set.
- Docker/Kubernetes container infrastructure and orchestration
- Deploying/operating NodeJs/PHP/LAMP framework-based clusters with infrastructure.
- Monitoring, metrics collection, and distributed tracing
- Infrastructure as code” – Experience with Terraform preferred.
- Strong AWS Deployment Experience
- Provide system-level technical support
- Desire to learn new technologies while supporting existing
Roles and Responsibilities
- End to End-building CI/CD pipelines using tools like Jenkins and Jenkins Pipelines etc.
- Build CI/CD pipelines to orchestrate provisioning and deployment of both large scale systems
- Develop and implement instrumentation for monitoring the health and availability of services including fault detection, alerting, triage, and recovery (automated and manual)
- Develop, improve, and thoroughly document operational practices and procedures.
- Perform tasks related to securing and keeping the products, tools, and processes you are responsible for securing our infrastructure.
- Agile software development practices
- Understand IT processes, including architecture, design, implementation, and operations
- Open Source development experience
- Self-motivated, able and willing to help where help is needed
- Able to build relationships, be culturally sensitive, have goal alignment, have learning agility
Location: Bangalore
About KNOLSKAPE
KNOLSKAPE is an end-to-end learning and assessment platform for accelerated employee development. Our core belief is that desired business outcomes are achieved best when learning needs are aligned with business requirements, but traditional methodologies for capability development require a new, more updated approach. Keeping with this philosophy, we offer engaging, immersive, and experiential learning and assessment solutions - strategy cascading, business acumen, change management, leadership pipeline, digital capabilities, and talent assessments. Leveraging a blended omnichannel delivery model, KNOLSKAPE offers instructor-led classroom sessions, live virtual sessions, and self-paced courses to suit every learning need.
More than 300 clients in 25 countries have benefited from KNOLSKAPE's award-winning experiential solutions. A 120+ strong team based out of offices in Singapore, India, Malaysia, and the USA serves a rapidly growing global client base across industries such as banking and finance, consulting, IT, FMCG, retail, manufacturing, infrastructure, pharmaceuticals, engineering, auto, government and academia.
KNOLSKAPE is a global Top 20 gamification company, recipient of numerous Brandon Hall awards, and has been recognized as a company to watch for in the Talent Management Space, by Frost & Sullivan, and as a disruptor in the learning space, by Bersin by Deloitte.
Shubham Vishwakarma
Full Stack Developer - Averlon
About KNOLSKAPE
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Machine Learning (ML)Amazon Web Services (AWS)We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.
The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.
Must have skills & Qualifications:
- 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
- Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
- Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
- Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
- Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
- Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
- Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
- Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
- Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
- Experience with feature engineering pipelines and Feature Store management.
- Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
- Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
- Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
- Strong foundation in Python and cloud-native development patterns.
- Solid understanding of security best practices, IAM, secrets management, and artifact governance.
Good to have skills:
- Experience with vector databases, RAG pipelines, or multi-agent AI systems.
- Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
- Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
- Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
- Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
- Ability to translate business goals into scalable AI/ML platform designs.
- Strong communication and cross-team collaboration skills.
- Ability to guide engineering teams through technical uncertainty and design choices.
Key Responsibilities:
- Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
- Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
- Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
- Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
- Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
- Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
- Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
- Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
- Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
- Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices.
PythonJOB DETAILS:
* Job Title: DevOps Engineer (Azure)
* Industry: Technology
* Salary: Best in Industry
* Experience: 2-5 years
* Location: Bengaluru, Koramangala
Review Criteria
- Strong Azure DevOps Engineer Profiles.
- Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).
- Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.
- Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell
- Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database
- Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis
Preferred
- Knowledge of containerisation and orchestration tools such as Docker and Kubernetes.
- Knowledge of Infrastructure as Code and configuration management tools such as Terraform and Ansible.
- Preferred (Education) – BE/BTech / ME/MTech in Computer Science or related discipline
Role & Responsibilities
- Build and maintain Azure DevOps YAML-based CI/CD pipelines for build, test, and deployments.
- Manage Azure DevOps Repos, Pipelines, Boards, and Artifacts.
- Implement Git branching strategies and automate release workflows.
- Develop scripts using Bash, Python, or PowerShell for DevOps automation.
- Monitor systems using Grafana, Prometheus, Datadog, or CloudWatch and handle incidents.
- Collaborate with dev and QA teams in an Agile/Scrum environment.
- Maintain documentation, runbooks, and participate in root cause analysis.
Ideal Candidate
- 2–5 years of experience as an Azure DevOps Engineer.
- Strong hands-on experience with Azure DevOps CI/CD (YAML) and Git.
- Experience with Microsoft Azure (OCI/AWS exposure is a plus).
- Working knowledge of SQL Server, PostgreSQL, or Oracle.
- Good scripting, troubleshooting, and communication skills.
- Bonus: Docker, Kubernetes, Terraform, Ansible experience.
- Comfortable with WFO (Koramangala, Bangalore).
Amazon Web Services (AWS)DockerKubernetesRoles 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).
Kubernetes
grafanaAbout Kiru:
Kiru is a forward-thinking payments startup on a mission to revolutionise the digital payments landscape in Africa and beyond. Our innovative solutions will reshape how people transact, making payments safer, faster, and more accessible. Join us on our journey to redefine the future of payments.
Position Overview:
We are searching for a highly skilled and motivated DevOps Engineer to join our dynamic team in Pune, India. As a DevOps Engineer at Kiru, you will play a critical role in ensuring our payment infrastructure's reliability, scalability, and security.
Key Responsibilities:
- Utilize your expertise in technology infrastructure configuration to manage and automate infrastructure effectively.
- Collaborate with cross-functional teams, including Software Developers and technology management, to design and implement robust and efficient DevOps solutions.
- Configure and maintain a secure backend environment focusing on network isolation and VPN access.
- Implement and manage monitoring solutions like ZipKin, Jaeger, New Relic, or DataDog and visualisation and alerting solutions like Prometheus and Grafana.
- Work closely with developers to instrument code for visualisation and alerts, ensuring system performance and stability.
- Contribute to the continuous improvement of development and deployment pipelines.
- Collaborate on the selection and implementation of appropriate DevOps tools and technologies.
- Troubleshoot and resolve infrastructure and deployment issues promptly to minimize downtime.
- Stay up-to-date with emerging DevOps trends and best practices.
- Create and maintain comprehensive documentation related to DevOps processes and configurations.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a DevOps Engineer or in a similar role.
- Experience configuring infrastructure on Microsoft Azure
- Experience with Kubernetes as a container orchestration technology
- Experience with Terraform and Azure ARM or Bicep templates for infrastructure provisioning and management.
- Experience configuring and maintaining secure backend environments, including network isolation and VPN access.
- Proficiency in setting up and managing monitoring and visualization tools such as ZipKin, Jaeger, New Relic, DataDog, Prometheus, and Grafana.
- Ability to collaborate effectively with developers to instrument code for visualization and alerts.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and teamwork skills.
- A proactive and self-motivated approach to work.
Desired Skills:
- Experience with Azure Kubernetes Services and managing identities across Azure services.
- Previous experience in a financial or payment systems environment.
About Kiru:
At Kiru, we believe that success is achieved through collaboration. We recognise that every team member has a vital role to play, and it's the partnerships we build within our organisation that drive our customers' success and our growth as a business.
We are more than just a team; we are a close-knit partnership. By bringing together diverse talents and fostering powerful collaborations, we innovate, share knowledge, and continually learn from one another. We take pride in our daily achievements but never stop challenging ourselves and supporting each other. Together, we reach new heights and envision a brighter future.
Regardless of your career journey, we provide the guidance and resources you need to thrive. You will have everything required to excel through training programs, mentorship, and ongoing support. At Kiru, your success is our success, and that success matters because we are the essential partners for the world's most critical businesses. These companies manufacture, transport, and supply the world's essential goods.
Equal Opportunities and Accommodations Statement:
Kiru is committed to fostering a workplace and global community where inclusion is celebrated and where you can bring your authentic selfbecause that's who we're interested in. If you are interested in this role but don't meet every qualification in the job description, don't hesitate to apply. We are an equal opportunity employer.
KubernetesDockerRequired Skills
• Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill.
• Integration and maintenance of automated tools
• Strong analytical and problem-solving skills
• Working experience in source control tools such as GIT/Github/Gitlab/TFS
• Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms)
• Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc) • Advanced Linux admin experience
• Using Jenkins or similar tools
• Deep understanding of Container orchestration(Preferably Kubernetes )
• Strong knowledge of Object Storage(Preferably Cept on Rook)
• Experience in installing, managing & tuning microservices environments using Kubernetes & Docker both on-premise and on the cloud.
• Experience in deploying and managing spring boot applications.
• Experience in deploying and managing Python applications using Django, FastAPI, Flask.
• Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow /Mlflow.
• Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy
• Experience in monitoring tools like Prometheus, Grafana.
• Experience in provisioning & maintaining SQL/NoSQL databases.
Desired Skills
• Configuration software: Ansible
• Excellent communication and collaboration skills
• Good experience on Networking Technologies like a Load balancer, ACL, Firewall, VIP, DNS
• Programmatic experience with AWS, DO, or GCP storage & machine images
• Experience on various Linux distributions
• Knowledge of Azure DevOps Server
• Docker management and troubleshooting
• Familiarity with micro-services and RESTful systems
• AWS / GCP / Azure certification
• Interact with the Engineering for supporting/maintaining/designing backend infrastructure for product support
• Create fully automated global cloud infrastructure that spans multiple regions.
• Great learning attitude to the newest technology and a Team player
DockerKubernetesAmazon Web Services (AWS)● Improve CI/CD tooling using gitlab.
● Implement and improve monitoring and alerting.
● Build and maintain highly available systems.
● Implement the CI pipeline.
● Implement and maintain monitoring stacks.
● Lead and guide the team in identifying and implementing new technologies.
● Implement and own the CI.
● Manage CD tooling.
● Implement and maintain monitoring and alerting.
● Build and maintain highly available production systems.
Skills
● Configuration Management experience such as Kubernetes, Ansible or similar.
● Managing production infrastructure with Terraform, CloudFormation, etc.
● Strong Linux, system administration background.
● Ability to present and communicate the architecture in a visual form. Strong knowledge of AWS,
Azure, GCP.
Docker
Jenkins| CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |
DockerKubernetesAmazon Web Services (AWS)We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.
What we are looking for
- Must have strong knowledge of Kubernetes and Helm3
- Should have previous experience in Dockerizing the applications.
- Should be able to automate manual tasks using Shell or Python
- Should have good working knowledge on AWS and GCP clouds
- Should have previous experience working on Bitbucket, Github, or any other VCS.
- Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
- Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
- Should have a good understanding of ELK Stack.
- Exposure on Jira, confluence, and Sprints.
What you will do:
- Mentor junior Devops engineers and improve the team’s bar
- Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
- Oversight of all server environments, from Dev through Production.
- Responsible for the automation and configuration management
- Provides stable environments for quality delivery
- Assist with day-to-day issue management.
- Take lead in containerising microservices
- Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
- Enables the automation of CI/CD
- Implement dashboard to monitors various
- 1-3 years of experience in DevOps
- Experience in setting up front end best practices
- Working in high growth startups
- Ownership and Be Proactive.
- Mentorship & upskilling mindset.
- systems and applications
what you’ll get- Health Benefits
- Innovation-driven culture
- Smart and fun team to work with
- Friends for life
DockerKubernetesMandatory:
● A minimum of 1 year of development, system design or engineering experience ●
Excellent social, communication, and technical skills
● In-depth knowledge of Linux systems
● Development experience in at least two of the following languages: Php, Go, Python,
JavaScript, C/C++, Bash
● In depth knowledge of web servers (Apache, NgNix preferred)
● Strong in using DevOps tools - Ansible, Jenkins, Docker, ELK
● Knowledge to use APM tools, NewRelic is preferred
● Ability to learn quickly, master our existing systems and identify areas of improvement
● Self-starter that enjoys and takes pride in the engineering work of their team ● Tried
and Tested Real-world Cloud Computing experience - AWS/ GCP/ Azure ● Strong
Understanding of Resilient Systems design
● Experience in Network Design and Management
KubernetesDockerAbout the client :
Asia’s largest global sports media property in history with a global broadcast to 150+ countries. As the world’s largest martial arts organization, they are a celebration of Asia’s greatest cultural treasure, and its deep-rooted Asian values of integrity, humility, honor, respect, courage, discipline, and compassion. Has achieved some of the highest TV ratings and social media engagement metrics across Asia with its unique brand of Asian values, world-class athletes, and world-class production. Broadcast partners include Turner Sports, Star India, TV Tokyo, Fox Sports, ABS-CBN, Astro, ClaroSports, Bandsports, Startimes, Premier Sports, Thairath TV, Skynet, Mediacorp, OSN, and more. Institutional investors include Sequoia Capital, Temasek Holdings, GIC, Iconiq Capital, Greenoaks Capital, and Mission Holdings. Currently has offices in Singapore, Tokyo, Los Angeles, Shanghai, Milan, Beijing, Bangkok, Manila, Jakarta, and Bangalore.
Position : Devops Engineer – SDE3
As part of the engineering team, you would be expected to have deep technology expertise with a passion for building highly scalable products. This is a unique opportunity where you can impact the lives of people across 150+ countries!
Responsibilities
• Develop Collaborate in large-scale systems design discussions.
• Deploying and maintaining in-house/customer systems ensuring high availability, performance and optimal cost.
• Automate build pipelines. Ensuring right architecture for CI/CD
• Work with engineering leaders to ensure cloud security
• Develop standard operating procedures for various facets of Infrastructure services (CI/CD, Git Branching, SAST, Quality gates, Auto Scaling)
• Perform & automate regular backups of servers & databases. Ensure rollback and restore capabilities are Realtime and with zero-downtime.
• Lead the entire DevOps charter for ONE Championship. Mentor other DevOps engineers. Ensure industry standards are followed.
Requirements
• Overall 5+ years of experience in as DevOps Engineer/Site Reliability Engineer
• B.E/B.Tech in CS or equivalent streams from institute of repute
• Experience in Azure is a must. AWS experience is a plus
• Experience in Kubernetes, Docker, and containers
• Proficiency in developing and deploying fully automated environments using Puppet/Ansible and Terraform
• Experience with monitoring tools like Nagios/Icinga, Prometheus, AlertManager, Newrelic
• Good knowledge of source code control (git)
• Expertise in Continuous Integration and Continuous Deployment setup using Azure Pipeline or Jenkins
• Strong experience in programming languages. Python is preferred
• Experience in scripting and unit testing
• Basic knowledge of SQL & NoSQL databases
• Strong Linux fundamentals
• Experience in SonarQube, Locust & Browserstack is a plus
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon