Devops Engineer

Job Position: DevOps Engineer

Experience Range: 2 - 3 years

Type:Full Time

Location:India (Remote)

Desired Skills: DevOps, Kubernetes (EKS), Docker, Kafka, HAProxy, MQTT brokers, Redis, PostgreSQL, TimescaleDB, Shell Scripting, Terraform, AWS (API Gateway, ALB, ECS, EKS, SNS, SES, CloudWatch Logs), Prometheus, Grafana, Jenkins, GitHub

Your key responsibilities:

• Collaborate with developers to design and implement scalable, secure, and reliable infrastructure.
• Manage and automate CI/CD pipelines (Jenkins - Groovy Scripts, GitHub Actions), ensuring smooth deployments.
• Containerise applications using Docker and manage workloads on Kubernetes (EKS).
• Work with AWS services (ECS, EKS, API Gateway, SNS, SES, CloudWatch Logs) to provision and maintain infrastructure.
• Implement infrastructure as code using Terraform.
• Set up and manage monitoring and alerting using Prometheus and Grafana.
• Manage and optimize Kafka, Redis, PostgreSQL, TimescaleDB deployments.
• Troubleshoot issues in distributed systems and ensure high availability using HAProxy, load balancing, and failover strategies.
• Drive automation initiatives across development, testing, and production environments.

What you’ll bring

Required:

• 2–3 years of hands-on DevOps experience.
• Strong proficiency in Shell Scripting.
• Practical experience with Docker and Kubernetes (EKS).
• Knowledge of Terraform or other IaC tools.
• Experience with Jenkins pipelines (Groovy scripting preferred).
• Exposure to AWS cloud services (ECS, EKS, API Gateway, SNS, SES, CloudWatch).
• Understanding of microservices deployment and orchestration.
• Familiarity with monitoring/observability tools (Prometheus, Grafana).
• Good communication and collaboration skills.

Nice to have:

• Experience with Kafka, HAProxy, MQTT brokers.
• Knowledge of Redis, PostgreSQL, TimescaleDB.
• Exposure to DevOps best practices in agile environments.

Job Title: Cloud Engineer - Azure DevOps

Job Location: Mumbai (Andheri East)

About the company:
MIRACLE HUB CLIENT,   is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision-making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise

Skill-sets Required:

• Azure Architecture
• DevOps Expert
• Infrastructure as a code
• Automate CICD pipelines
• Security and Risk Compliance
• Validate Tech Design

Job Role:

• Create a well-informed cloud strategy and manage the adaption process and Azure based architecture
• Develop and organize automated cloud systems
• Work with other teams in continuous integration and continuous deployment pipeline in delivering solutions
• Work closely with IT security to monitor the company's cloud privacy

Desired Candidate Profile:

• Bachelor’s degree in computer science, computer engineering, or relevant field.
• A minimum of 3 years’ experience in a similar role.
• Strong knowledge of database structure systems and data mining.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• IMMEDIATE JOINING (A notice period of 1 month is also acceptable)
• Excellent English communication and presentation skills, both verbal and written
• Charismatic, competitive and enthusiastic personality with negotiation skills

Compensation: 12-15 LPA with minimum 5 years of experience. ( OR AS PER LAST DRAWN )

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

• 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.

Task:

• Need to run our software products in different international environments (on premise and cloud providers)
• Support the developers while debugging issues
• Analyse and monitor software during runtime to find bugs, performance issues and plan growth of the system
• Integrate new technologies to support our products while growing in the market
• Develop Continuous Integration and Continuous Deployment Pipelines
• Maintain our on premise hosted servers and applications, like operating system upgrades, software upgrades, introducing new database versions etc.
• Automation of task to reduce amount of human errors and parallelize work

We wish:

• Basic OS knowledge (Debian, CentOS, Suse Enterprise Linux)
• Webserver administration and optimization (Apache, Traefik)
• Database administration and optimization (Mysql/MariaDB, Oracle, Elasticsearch)
• jvm administration and optimization application server administration and optimization (Servicemix, Karaf, Glassfish, Springboot)
• Scripting experience (Perl, Python, PHP, Java)
• Monitoring experience (Icinga/Nagios, Appdynamics, Prometheus, Grafana)
• Knowledge container management (Docker/ContainerD, DC/OS, Kubernetes)
• Experience with automatic deployment processes (Ansible, Gitlab-CI, Helm)
• Define and optimize processes for system maintenance, continuous integration, and continuous delivery
• Excellent communication skill & proficiency in English is necessary
• Leadership skill with team motivational approach
• Good Team player

We Offer:

• Freedom to realise your own ideas & individual career & development opportunity.
• A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
• Professional challenges and career development opportunities.

Your Contact for this position is Janki Raval .

Would you like to become part of this highly innovative, dynamic, and exciting world?

We look forward to your expressive Resume.

Required qualifications and must have skills  

• 5+ years of experience managing a team of 5+ infrastructure software engineers 

• 5+ years of experience in building and scaling technical infrastructure 

• 5+ years of experience in delivering software 

• Experience leading by influence in multi-team, cross-functional projects 

• Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers 

• Experience with cloud service providers such as AWS, GCP, or Azure 

• Experience with containerization technologies such as Kubernetes and Docker 

Nice to have Skills   

• Experience with Hadoop, Hive and Presto 

• Application/infrastructure benchmarking and optimization 

• Familiarity with modern CI/CD practices 

• Familiarity with reliability best practices 

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.

• Engineering in computer science
• 3-5 years of experience in setup and management of Kubernetes infrastructure
• Expert level skills in analytical & problem solving
• Ability to communicate clearly in English

• Microsoft Azure
• Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
• Linux internals & services
• Docker, Docker Registry
• NGINX, Load Balancing, Firewall, Security, PKI
• Shell & Awk Script, Azure Templates & scripting, Python Scripting
• Knowledge of NoSQL Databases

• You have a Bachelor's degree in computer science or equivalent
• You have at least 7 years of DevOps experience.
• You have deep understanding of AWS and cloud architectures/services.
• You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
• You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
• You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
• You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
• You have a track record of delivering successful solutions and collaborating with others.
• You take security into account when building new systems.

• 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
• 2+ years of hands-on experience as a DevOps engineer
• Strong leadership, communication and interpersonal skills geared to getting things done
• Developing themselves and the talent within their charge – fostering and creating opportunity for the team
• Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
• Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
• Own site stability, performance, capacity planning, DevOps recruitment.