Cloudforms performance ENgineer

Role Overview:

We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
• Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
• Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
• Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
• Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
• Implement security best practices in pipelines, infrastructure, and cloud environments.
• Maintain version control and manage release cycles.
• Troubleshoot and resolve production issues efficiently.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, IT, or related field.
• Proven experience in DevOps, system administration, or cloud engineering.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
• Hands-on experience with containerization (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, or GCP).
• Scripting skills (Python, Bash, or PowerShell).
• Knowledge of infrastructure as code (Terraform, CloudFormation).
• Familiarity with monitoring and logging tools.
• Strong problem-solving, communication, and teamwork skills.

Preferred Qualifications:

• Experience with microservices architecture.
• Knowledge of networking, load balancing, and firewalls.
• Exposure to Agile/Scrum methodologies.

What We Offer:

• Competitive salary
• Flexible working hours and remote options.
• Learning and development opportunities.
• Collaborative and inclusive work environment.

Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines

OVERVIEW

We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.

The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.

CORE TECHNICAL REQUIREMENTS

Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.

Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.

CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.

Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.

PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.

Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.

WHAT YOU WILL OWN

Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.

Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.

VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.

Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.

Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.

Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.

WHAT SUCCESS LOOKS LIKE

Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.

ENGINEERING STANDARDS

Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.

Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.

Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.

Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.

CURRENT ENVIRONMENT

GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.

WHAT WE ARE LOOKING FOR

Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.

Calm Under Pressure: When production breaks, you diagnose methodically.

Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.

Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.

EDUCATION

University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.

NOTE- This is a contractual role for a period of 3-6 months.

Responsibilities:

● Set up and maintain CI/CD pipelines across services and environments

● Monitor system health and set up alerts/logs for performance & errors ● Work closely with backend/frontend teams to improve deployment velocity

● Manage cloud environments (staging, production) with cost and reliability in mind

● Ensure secure access, role policies, and audit logging

● Contribute to internal tooling, CLI automation, and dev workflow improvements

Must-Haves:

● 2–3 years of hands-on experience in DevOps, SRE, or Platform Engineering

● Experience with Docker, CI/CD (especially GitHub Actions), and cloud providers (AWS/GCP)

● Proficiency in writing scripts (Bash, Python) for automation

● Good understanding of system monitoring, logs, and alerting

● Strong debugging skills, ownership mindset, and clear documentation habits

● Infra monitoring tools like Grafana dashboards

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Job requirements

Key Responsibilities:

• Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
• Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
• Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
• Communicate clearly and fluently in English with customers and internal teams.
• Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
• Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.

Shift Details:

• Engineers rotate shifts, typically working 4–5 shifts per week.
• Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
• Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.

Qualifications:

• 2–5 years of experience in DevOps or cloud support roles.
• Strong familiarity with AWS and/or Azure cloud environments.
• Experience with CI/CD tools such as GitHub Actions or Jenkins.
• Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
• Basic scripting skills in Bash, Python, or comparable languages.
• Excellent communication skills in English.
• Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
• Prior experience in a shift-based support environment is preferred.

What We Offer:

• Remote work opportunity — work from anywhere in India with a stable internet connection.
• Comprehensive training program including:
• Shadowing existing processes to gain hands-on experience.
• Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.

Company Overview 

Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge. 

Position Overview 

We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability. 

Key Responsibilities 

• Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices. 
• Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency. 
• Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users. 
• Implement and manage CI/CD pipelines to automate software delivery and ensure code quality. 
• Manage and configure cloud-based infrastructure services to optimize performance and cost. 
• Collaborate with development teams to design and implement scalable, reliable, and secure applications. 
• Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues. 
• Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data. 
• Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability. 
• Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability. 

Qualifications 

• Bachelor's degree in Computer Science, Engineering, or related field 
• Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role 
• Strong understanding of cloud computing principles and experience with AWS 
• Experience of building and supporting complex CI/CD pipelines using Github 
• Experience of building and supporting infrastructure as a code using Terraform 
• Proficiency in scripting and automating tools 
• Solid understanding of networking concepts and protocols 
• Understanding of security best practices and experience implementing security controls in cloud environments 
• Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage. 

5 to 10 years of software development & coding experience

Experience with Infrastructure as Code development (Automation, CICD) AWS CloudFormation, AWS CodeBuild, CodeDeploy are a must have. 

Experience troubleshooting AWS policy or permissions related errors during resource deployments \

Programming experience; preferred Python, PowerShell, bash development experience \

Have Experience with application build automation tools like Apache Maven, Jenkins, Concourse, and Git supporting continuous integration / continuous deployment capabilities (CI/CD) à GitHub and GitHub actions for deployments are must-have skills (Maven, Jenkins, etc. are nice to have)

Have configuration management experience (Chef, Puppet, or Ansible)

Worked in a Development Shop or have SDLC hands on Experience

Familiar with how to write software, test plans, automate and release using modern development methods

AWS certified at an appropriate level

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

Role : DevOps Engineer 

Experience : 1 to 2 years and 2 to 5 Years as DevOps Engineer (2 Positions)

Location : Bangalore. 5 Days Working.

Education Qualification : Tech/B.E for Tier-1/Tier-2/Tier-3 Colleges or equivalent institutes 

Skills :- DevOps Engineering, Ruby On Rails or Python and Bash/Shell skills, Docker, rkt or similar container engine, Kubernetes or similar clustering solutions

As DevOps Engineer, you'll be part of the team building the stage for our Software Engineers to  work on, helping to enhance our product performance and reliability. 

Responsibilities: 

• Build & operate infrastructure to support website, backed cluster, ML projects in the  organization. 
• Helping teams become more autonomous and allowing the Operation team to focus on  improving the infrastructure and optimizing processes. 
• Delivering system management tooling to the engineering teams. 
• Working on your own applications which will be used internally. 
• Contributing to open source projects that we are using (or that we may start). 
• Be an advocate for engineering best practices in and out of the company. 
• Organizing tech talks and participating in meetups and representing Box8 at industry  events. 
• Sharing pager duty for the rare instances of something serious happening. ∙ Collaborate with other developers to understand & setup tooling needed for Continuous  Integration/Delivery/Deployment (CI/CD) practices. 

Requirements: 

• 1+ Years Of Industry Experience Scale existing back end systems to handle ever increasing  amounts of traffic and new product requirements. 
• Ruby On Rails or Python and Bash/Shell skills. 
• Experience managing complex systems at scale. 
• Experience with Docker, rkt or similar container engine. 
• Experience with Kubernetes or similar clustering solutions. 
• Experience with tools such as Ansible or Chef Understanding of the importance of smart  metrics and alerting. 
• Hands on experience with cloud infrastructure provisioning, deployment, monitoring (we are  on AWS and use ECS, ELB, EC2, Elasticache, Elasticsearch, S3, CloudWatch). 
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Knowledge of data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience in working on linux based servers. 
• Managing large scale production grade infrastructure on AWS Cloud. 
• Good Knowledge on scripting languages like ruby, python or bash. 
• Experience in creating in deployment pipeline from scratch. 
• Expertise in any of the CI tools, preferably Jenkins. 
• Good knowledge of docker containers and its usage. 
• Using Infra/App Monitoring tools like, CloudWatch/Newrelic/Sensu. 

Good to have: 

• Knowledge of Ruby on Rails based applications and its deployment methodologies.
• Experience working on Container Orchestration tools like Kubernetes/ECS/Mesos.
• Extra Points For Experience With Front-end development NewRelic GCP Kafka,  Elasticsearch.

• Expertise in Infrastructure & Application design & architecture
• Expertise in AWS, OS & networking
• Having good exposure on Infra & Application security
• Expertise in Python, Shell scripting
• Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
• Solid background in systems engineering and operations
• Strong in Devops methodologies and processes
• Strong in CI/CD pipeline & SDLC.