DevOps Engineer Azure

REVIEW CRITERIA:

MANDATORY:

• Strong Hands-On AWS Cloud Engineering / DevOps Profile
• Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
• Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
• Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
• Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
• Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
• Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills

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

Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=

LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.

Responsibilities:

• Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud
• Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems
• Automate the deployment and configuration of the virtualized infrastructure and the entire software stack
• Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO
• Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud
• Define and build processes to identify performance bottlenecks and scaling pitfalls
• Manage robust monitoring and alerting infrastructure 
• Explore new tools to improve development operations to automate daily tasks
• Ensure High Availability and Auto-failover with minimum or no manual interventions

Requirements:

• Bachelor’s degree in Computer Science, Information Technology or a related field
• 11 to 14 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Strong background in Linux/Unix Administration and Python/Shell Scripting
• Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Experience 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 query analysis, peformance tuning, database redesigning, 
• 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.
• Excellent leadership skill.

The candidate must have 2-3 years of experience in the domain. The responsibilities include:

● Deploying system on Linux-based environment using Docker

● Manage & maintain the production environment

● Deploy updates and fixes

● Provide Level 1 technical support

● Build tools to reduce occurrences of errors and improve customer experience

● Develop software to integrate with internal back-end systems

● Perform root cause analysis for production errors

● Investigate and resolve technical issues

● Develop scripts to automate visualization

● Design procedures for system troubleshooting and maintenance

● Experience working on Linux-based infrastructure

● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)

● Configuration and managing databases such as Mongo

● Excellent troubleshooting

● Experience of working with AWS/Azure/GCP

● Working knowledge of various tools, open-source technologies, and cloud services

● Awareness of critical concepts in DevOps and Agile principles

● Experience of CI/CD Pipeline

Responsibilities

● Be a hands-on engineer, ensure frameworks/infrastructure built is well designed,

scalable & are of high quality.

● Build and/or operate platforms that are highly available, elastic, scalable, operable and

observable.

● Build/Adapt and implement tools that empower the TI AI engineering teams to

self-manage the infrastructure and services owned by them.

● You will identify, articulate, and lead various long-term tech vision, strategies,

cross-cutting initiatives and architecture redesigns.

● Design systems and make decisions that will keep pace with the rapid growth of TI AI.

● Document your work and decision-making processes, and lead presentations and

discussions in a way that is easy for others to understand.

● Available for on-call during emergencies to handle and resolve problems in a quick and

efficient manner.

Requirements

● 2+ years of Hands-on experience as a DevOps / Infrastructure engineer with AWS and

Kubernetes or similar infrastructure platforms. (preferably AWS)

● Hands-on with DevOps principles and practices ( Everything-as-a-code, CI/CD, Test

everything, proactive monitoring etc).

● Experience in building and operating distributed systems.

● Understanding of operating systems, virtualization, containerization and networks

preferable

● Hands-on coding on any of the languages like Python or GoLang.

● Familiarity with software engineering practices including unit testing, code reviews, and

design documentation.

● Strong debugging and problem-solving skills Curiosity about how things work and love to

share that knowledge with others.

Benefits :

● Work with a world class team working on a very forward looking problem

● Competitive Pay

● Flat hierarchy

● Health insurance for the family

The AWS Cloud/Devops Engineer will be working with the engineering team and focusing on AWS infrastructure and automation.  A key part of the role is championing and leading infrastructure as code.  The Engineer will work closely with the Manager of Operations and Devops to build, manage and automate our AWS infrastructure. 

Duties & Responsibilities:

• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Work collaboratively with software engineering to define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as code
• Ensure configuration and compliance with configuration management tools
• Administer and troubleshoot Linux based systems
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization

Qualifications:

• At least 1-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Expertise using Chef for configuration management
• Hands-on experience deploying and managing infrastructure with Terraform
• Solid foundation of networking and Linux administration
• Experience with CI-CD, Docker, GitLab, Jenkins, ELK and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Strong bias for action and ownership

About the job

Our goal

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

The culture

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

The role:

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

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

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

Responsibilities

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

Qualifications

Work Experience

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

Skills

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

Benefits

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

You will excel in this role if

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

• Design, Develop, deploy, and run operations of infrastructure services in the Acqueon AWS cloud environment
• Manage uptime of Infra & SaaS Application
• Implement application performance monitoring to ensure platform uptime and performance
• Building scripts for operational automation and incident response
• Handle schedule and processes surrounding cloud application deployment
• Define, measure, and meet key operational metrics including performance, incidents and chronic problems, capacity, and availability
• Lead the deployment, monitoring, maintenance, and support of operating systems (Windows, Linux)
• Build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies
• Run incident resolution within the environment, facilitating teamwork with other departments as required
• Automate the deployment of new software to cloud environment in coordination with DevOps engineers
• Work closely with Presales, understand customer requirement to deploy in Production
• Lead and mentor a team of operations engineers
• Drive the strategy to evolve and modernize existing tools and processes to enable highly secure and scalable operations
• AWS infrastructure management, provisioning, cost management and planning
• Prepare RCA incident reports for internal and external customers
• Participate in product engineering meetings to ensure product features and patches comply with cloud deployment standards
• Troubleshoot and analyse performance issues and customer reported incidents working to restore services within the SLA
• Monthly SLA Performance reports

As a Cloud Operations Manager in Acqueon you will need…. 

• 8 years’ progressive experience managing IT infrastructure and global cloud environments such as AWS, GCP (must)
• 3-5 years management experience leading a Cloud Operations / Site Reliability / Production Engineering team working with globally distributed teams in a fast-paced environment
• 3-5 years’ experience in IAC (Terraform, K8)
• 3+ years end-to-end incident management experience
• Experience with communicating and presenting to all stakeholders
• Experience with Cloud Security compliance and audits
• Detail-oriented. The ideal candidate is one who naturally digs as deep as they need to understand the why
• Knowledge on GCP will be added advantage
• Manage and monitor customer instances for uptime and reliability
• Staff scheduling and planning to ensure 24x7x365 coverage for cloud operations
• Customer facing, excellent communication skills, team management, troubleshooting

At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time. 

SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations. 

Day to day responsibilities include:

1. Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
2. Work on Linux/Unix OS and Multi tech application patching
3. Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
4. Create and modify scripts or applications to perform tasks
5. Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
6. Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it. 
7. Managing release of the sprint. 
8. Educating team of the best practices.
9. Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
10. Implementing cost effective measure on cloud and minimizing existing costs.

Skills and prerequisites

1. OOPS knowledge
2. Problem solving nature
3. Willing to do the R&D
4. Works with the team and support their queries patiently 
5. Bringing new things on the table - staying updated 
6. Pushing solution above a problem. 
7. Willing to learn and experiment
8. Techie at heart
9. Git basics
10. Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
11. Basic Linux handling 
12. Docker and orchestration (Great to have)
13. Scripting – python (preferably)/bash