Senior Engineer Infrastructure

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.

• Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
• Design and build tools and frameworks that support deployment and management and platforms
• Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
• Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
• Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
• Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
• Work independently across multiple platforms and applications to understand dependencies
• Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
• Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
• Competencies
• Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
• Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
• Working knowledge of Amazon Web Services and related APIs
• Ability to deliver and manage web or cloud-based services
• General familiarity with monitoring tools
• General familiarity with configuration/provisioning tools such as Terraform
• Experience
• Experience working within an Agile type environment
• 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
• 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes

DevOps 

Engineers : Min 3 to 5 Years 
Tech Leads : Min 6 to 10 Years 

• Implementing & supporting CI/CD/CT pipelines at scale.  
• Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.  
• Extensive experience with Shell scripts (bash).  
• Knowledge and practical experience of Jenkins for CI.  
• Experienced in build & release management.  
• Experience of deploying JVM based applications.  
• Enterprise AWS deployment with sound knowledge on AWS & AWS security.  
• Knowledge of encryption technologies: IPSec, SSL, SSH. 
• Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments. 
• DNS providing and maintenance.  
• Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.  
• Knowledge of app and server monitoring tools such as ELK/AppEngine. 
• Excellent written, oral communication and interpersonal skills. 

Are you the one? Quick self-discovery test:

1. Love for the cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
2. Passion: When was the last time you went to a remote gas station while on vacation and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
3. Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?

Your bucket of undertakings:

This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.

1. Be the first one to experiment on new-age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs evolve
3. Use your experience in the Google cloud platform, AWS, or Microsoft Azure to build hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud-based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
6. Participate in technical reviews of requirements, designs, code, and other artifacts
7. Identify and keep abreast of new technical concepts in the google cloud platform
8. Security, Risk, and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance, and related areas.

Accomplishment Set 

• Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility 
• Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
• Strong service attitude and a commitment to quality.
• Highly organised and efficient.
• Confident working with others to inspire a high-quality standard.

Experience :

• 4-8 years experience in Cloud Infrastructure and Operations domains
• Experience with Linux systems and/OR Windows servers
• Specialize in one or two cloud deployment platforms: AWS, GCP
• Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine, API Gateway, AppSync and ServiceMesh)
• Experience in one or more scripting language-Python, Bash
• Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
• Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)
• DevOps Technologies (AWS DevOps, Jenkins, Git, Maven)
• Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef, Packer
• Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

Education :

1. Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives those fancy degrees!
3. 3-8 years of experience with hands-on experience in Cloud Computing (AWS/GCP) and IT operational experience in a global enterprise environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies.

• Azure Devops - Working experience in Azure yaml pipelines. (Note – Some say they worked in yaml but it’s for Jenkins and not Azure devops)
• Azure – Infrastructure automation using Terraform/ARM templates. (Note – Some say that they worked in terraform but it’s for AWS and not Azure). Please confirm Terraform for Azure infrastructure automation.
• Powershell scripting to automate and deploy .Net applications.

A strong background in Azure OR Amazon Web Services (AWS) or a similar cloud platform is a must-have, certification is a plus.

Excellent technical skills and knowledge include but not limited to: cloud methodologies like PaaS and SaaS; programming languages such as Python, Java, .Net; orchestration systems such as Chef, Ansible, Terraform; Azure IaaS servers; PowerShell scripting.

Fully aware of the DevOps cycle with hands-on on deployment models to the cloud.

Experience working with Docker and related containerization technologies.

Experience working on orchestration platforms such as AKS, RedHat OpenShift etc.

Extensive knowledge working with logging and monitoring tools such as EFK, visualization tools such as Grafana and Prometheus.

Exposure to security alert monitoring tools.