Kubernetes Engineer - Freelancer

Job Summary

We are seeking a highly skilled AWS Cloud/DevOps Engineer with hands-on experience in Amazon Web Services (AWS), Infrastructure as Code (Terraform), and observability tools such as Splunk, AppDynamics, or Grafana. The ideal candidate will be responsible for designing, deploying, automating, and supporting scalable cloud infrastructure while ensuring reliability, security, and operational efficiency.

Key Responsibilities

• Design, deploy, and manage cloud infrastructure on AWS.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure provisioning and application deployments.
• Configure and manage monitoring, logging, and alerting using Splunk, AppDynamics, or Grafana.
• Monitor system performance and troubleshoot infrastructure and application issues.
• Implement AWS security best practices, IAM policies, and networking configurations.
• Support and optimize CI/CD pipelines for automated deployments.
• Collaborate with development, security, and operations teams to improve platform reliability.
• Optimize cloud resources for performance, availability, scalability, and cost efficiency.
• Create and maintain technical documentation, operational procedures, and runbooks.

Required Skills

• Strong hands-on experience with Amazon Web Services (AWS).
• Expertise in Terraform for Infrastructure as Code.
• Experience with one or more monitoring/observability tools:
• Splunk
• AppDynamics
• Grafana
• Strong knowledge of AWS services such as:
• EC2
• VPC
• IAM
• S3
• RDS
• CloudWatch
• ELB/ALB
• Auto Scaling
• Route 53
• Experience with Linux administration.
• Proficiency in scripting using Bash, Python, or Shell scripting.
• Experience with Git and version control systems.
• Knowledge of CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or AWS CodePipeline.
• Strong troubleshooting and problem-solving skills.

Preferred Skills

• Experience with Docker and Kubernetes (EKS).
• Knowledge of Prometheus and Grafana-based monitoring.
• Familiarity with Ansible or other configuration management tools.
• Understanding of AWS CloudFormation (preferred but not mandatory).
• AWS Certifications (Associate or Professional) are a plus.

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. 

Hi,

We are looking for candidate with experience in DevSecOps.

Please find below JD for your reference.

Responsibilities:

Execute shell scripts for seamless automation and system management.

Implement infrastructure as code using Terraform for AWS, Kubernetes, Helm, kustomize, and kubectl.

Oversee AWS security groups, VPC configurations, and utilize Aviatrix for efficient network orchestration.

Contribute to Opentelemetry Collector for enhanced observability.

Implement microsegmentation using AWS native resources and Aviatrix for commercial routes.

Enforce policies through Open Policy Agent (OPA) integration.

Develop and maintain comprehensive runbooks for standard operating procedures.

Utilize packet tracing for network analysis and security optimization.

Apply OWASP tools and practices for robust web application security.

Integrate container vulnerability scanning tools seamlessly within CI/CD pipelines.

Define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaborate with software and platform engineers to infuse security principles into DevOps teams.

Regularly monitor and report project status to the management team.

Qualifications:

Proficient in shell scripting and automation.

Strong command of Terraform, AWS, Kubernetes, Helm, kustomize, and kubectl.

Deep understanding of AWS security practices, VPC configurations, and Aviatrix.

Familiarity with Opentelemetry for observability and OPA for policy enforcement.

Experience in packet tracing for network analysis.

Practical application of OWASP tools and web application security.

Integration of container vulnerability scanning tools within CI/CD pipelines.

Proven ability to define security requirements for source code repositories, binary repositories, and secrets managers in CI/CD pipelines.

Collaboration expertise with DevOps teams for security integration.

Regular monitoring and reporting capabilities.

Site Reliability Engineering experience.

Hands-on proficiency with source code management tools, especially Git.

Cloud platform expertise (AWS, Azure, or GCP) with hands-on experience in deploying and managing applications.

Please send across your updated profile.

Role : Senior Engineer Infrastructure

Key Responsibilities:

● Infrastructure Development and Management: Design, implement, and manage robust and scalable infrastructure solutions, ensuring optimal performance,security, and availability. Lead transition and migration projects, moving legacy systemsto cloud-based solutions.

● Develop and maintain applications and services using Golang.

● Automation and Optimization: Implement automation tools and frameworksto optimize operational processes. Monitorsystem performance, optimizing and modifying systems as necessary.

● Security and Compliance: Ensure infrastructure security by implementing industry best practices and compliance requirements. Respond to and mitigate security incidents and vulnerabilities.

Qualifications:

● Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

● Good understanding of prominent backend languageslike Golang, Python, Node.js, or others.

● In-depth knowledge of network architecture,system security, infrastructure scalability.

● Proficiency with development tools,server management, and database systems.

● Strong experience with cloud services(AWS.), deployment,scaling, and management.

● Knowledge of Azure is a plus

● Familiarity with containers and orchestration services,such as Docker, Kubernetes, etc.

● Strong problem-solving skills and analytical thinking.

● Excellent verbal and written communication skills.

● Ability to thrive in a collaborative team environment.

● Genuine passion for backend development and keen interest in scalable systems. 

LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀

Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.

🏢 ZoomOps Technolgy Solutions Private Limited

📍 Location: Gurgaon

💼 Full-time position

🔧 Key Skills & Requirements:

✔ 7-9 years of hands-on experience in DevOps roles

✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure

✔ Strong background in Solution Architecture

✔ Expertise in writing Automation Scripts using Python and Bash

✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..

Responsibilities:

🔹 Lead and mentor the DevOps team, driving innovation and best practices

🔹 Design and implement robust CI/CD pipelines for seamless software delivery

🔹 Architect and optimize cloud infrastructure for scalability and efficiency

🔹 Automate manual processes to enhance system reliability and performance

🔹 Collaborate with cross-functional teams to drive continuous improvement

Join us to work on exciting projects and make a significant impact in the tech space!

Apply now and take the next step in your DevOps career!

Not just a delivery company…

RaRa Delivery is revolutionising instant delivery for e-commerce in Indonesia through data driven logistics.

RaRa Delivery is making instant and same-day deliveries scalable and cost-effective by leveraging a differentiated operating model and real-time optimisation technology. RaRa makes it possible for anyone, anywhere to get same day delivery in Indonesia. While others are focusing on ‘one-to-one’ deliveries, the company has developed proprietary, real-time batching tech to do ‘many-to-many’ deliveries within a few hours.. RaRa is already in partnership with some of the top eCommerce players in Indonesia like Blibli, Sayurbox, Kopi Kenangan and many more.

We are a distributed team with the company headquartered in Singapore 🇸🇬 , core operations in Indonesia 🇮🇩 and technology team based out of India 🇮🇳

Future of eCommerce Logistics.

• Datadriven logistics company that is bringing in same day delivery revolution in Indonesia 🇮🇩
• Revolutionising delivery as an experience
• Empowering D2C Sellers with logistics as the core technology

• Build and maintain CI/CD tools and pipelines.
• Designing and managing highly scalable, reliable, and fault-tolerant infrastructure & networking that forms the backbone of distributed systems at RaRa Delivery.
• Continuously improve code quality, product execution, and customer delight.
• Communicate, collaborate and work effectively across distributed teams in a global environment.
• Operate to strengthen teams across their product with their knowledge base
• Contribute to improving team relatedness, and help build a culture of camaraderie.
• Continuously refactor applications to ensure high-quality design
• Pair with team members on functional and non-functional requirements and spread design philosophy and goals across the team
• Excellent bash, and scripting fundamentals and hands-on with scripting in programming languages such as Python, Ruby, Golang, etc.
• Good understanding of distributed system fundamentals and ability to troubleshoot issues in a larger distributed infrastructure
• Working knowledge of the TCP/IP stack, internet routing, and load balancing
• Basic understanding of cluster orchestrators and schedulers (Kubernetes)
• Deep knowledge of Linux as a production environment, container technologies. e.g. Docker, Infrastructure As Code such as Terraform, K8s administration at large scale.
• Have worked on production distributed systems and have an understanding of microservices architecture, RESTful services, CI/CD.

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

The Lead DevOps Engineer will be responsible for the management, monitoring and operation of our applications and services in production. The DevOps Engineer will be a hands-on person who can work independently or with minimal guidance and has the ability to drive the team’s deliverables by mentoring and guiding junior team members. You will work with the existing teams very closely and build on top of tools like Kubernetes, Docker and Terraform and support our numerous polyglot services.

Introducing a strong DevOps ethic into the rest of the team is crucial, and we expect you to lead the team on best practices in deployment, monitoring, and tooling. You'll work collaboratively with software engineering to deploy and operate our systems, help automate and streamline our operations and processes, build and maintain tools for deployment, monitoring, and operations and troubleshoot and resolve issues in our development, test and production environments. The position is based in our Bangalore office.

Primary Responsibilities

• Providing strategies and creating pathways in support of product initiatives in DevOps and automation, with a focus on the design of systems and services that run on cloud platforms.
• Optimizations and execution of the CI/CD pipelines of multiple products and timely promotion of the releases to production environments
• Ensuring that mission critical applications are deployed and optimised for high availability, security & privacy compliance and disaster recovery.
• Strategize, implement and verify secure coding techniques, integrate code security tools for Continuous Integration
• Ensure analysis, efficiency, responsiveness, scalability and cross-platform compatibility of applications through captured  metrics, testing frameworks, and debugging methodologies.
• Technical documentation through all stages of development
• Establish strong relationships, and proactively communicate, with team members as well as individuals across the organisation

Requirements

• Minimum of 6 years of experience on Devops tools.
• Working experience with Linux, container orchestration and management technologies (Docker, Kubernetes, EKS, ECS …).
• Hands-on experience with "infrastructure as code" solutions (Cloudformation, Terraform, Ansible etc).
• Background of building and maintaining CI/CD pipelines (Gitlab-CI, Jenkins, CircleCI, Github actions etc).
• Experience with the Hashicorp stack (Vault, Packer, Nomad etc).
• Hands-on experience in building and maintaining monitoring/logging/alerting stacks (ELK stack, Prometheus stack, Grafana etc).
• Devops mindset and experience with Agile / SCRUM Methodology
• Basic knowledge of Storage , Databases (SQL and noSQL)
• Good understanding of networking technologies, HAProxy, firewalling and security.
• Experience in Security vulnerability scans and remediation
• Experience in API security and credentials management
• Worked on Microservice configurations across dev/test/prod environments
• Ability to quickly adapt new languages and technologies
• A strong team player attitude with excellent communication skills.
• Very high sense of ownership.
• Deep interest and passion for technology
• Ability to plan projects, execute them and meet the deadline
• Excellent verbal and written English communication.