DevOps Engineer

Contract Job: DevOps / Azure DevOps

Contract Term: Max 3-6 months

Looking For Immediate joiners only

Remote Opportunity

• CI/CD, deployment, environment management, and release support
• This can be a shared capability/position as well

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.

• 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.

Description

DevOps Engineer / SRE

• Understanding of maintenance of existing systems (Virtual machines), Linux stack
• Experience running, operating and maintainence of Kubernetes pods
• Strong Scripting skills
• Experience in AWS
• Knowledge of configuring/optimizing open source tools like Kafka, etc.
• Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
• Optimizing and standardizing monitoring, alerting.
• Experience in Google cloud platform
• Experience/ Knowledge  in Python will be an added advantage
• Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform  etc

Role Purpose:

As a DevOps ,  You should be strong in both the Dev and Ops part of DevOps. We are looking for someone who has a deep understanding of systems architecture, understands core CS concepts well, and is able to reason about system behaviour rather than merely working with the toolset of the day. We believe that only such a person will be able to set a compelling direction for the team and excite those around them. 

If you are someone who fits the description above, you will find that the rewards are well worth the high bar. Being one of the early hires of the Bangalore office, you will have a significant impact on the culture and the team; you will work with a set of energetic and hungry peers who will challenge you, and you will have considerable international exposure and opportunity for impact across departments.

Responsibilities

1. Deployment, management, and administration of web services in a public cloud environment
2. Design and develop solutions for deploying highly secure, highly available, performant and scalable services in elastically provisioned environments
3. Design and develop continuous integration and continuous deployment solutions from development through production
4. Own all operational aspects of running web services including automation, monitoring and alerting, reliability and performance
5. Have direct impact on running a business by thinking about innovative solutions to operational problems
6. Drive solutions and communication for production impacting incidents
7. Running technical projects and being responsible for project-level deliveries
8. Partner well with engineering and business teams across continents

Required Qualifications

1. Bachelor’s or advanced degree in Computer Science or closely related field
2. 4 - 6 years professional experience in DevOps, with at least 1/2 years in Linux / Unix
3. Very strong in core CS concepts around operating systems, networks, and systems architecture including web services
4. Strong scripting experience in Python and Bash
5. Deep experience administering, running and deploying AWS based services
6. Solid experience with Terraform, Packer and Docker or their equivalents
7. Knowledge of security protocols and certificate infrastructure.
8. Strong debugging, troubleshooting, and problem solving skills 
9. Broad experience with cloud hosted applications including virtualization platforms, relational and non relational data stores, reverse proxies, and orchestration platforms
10. Curiosity, continuous learning and drive to continually raise the bar
11. Strong partnering and communication skills

Preferred Qualifications

1. Past experience as a senior developer or application architect strongly preferred.
2. Experience building continuous integration and continuous deployment pipelines
3. Experience with Zookeeper, Consul, HAProxy, ELK-Stack, Kafka, PostgreSQL.
4. Experience working with, and preferably designing, a system compliant to any security framework (PCI DSS, ISO 27000, HIPPA, SOC 2, ...)
5. Experience with AWS orchestration services such as ECS and EKS.
6. Experience working with AWS ML pipeline services like AWS Sagemak

REVOS is a smart micro-mobility platform that works with enterprises across the automotive shared mobility value chain to enable and accelerate their smart vehicle journeys. Founded in 2017, it aims to empower all 2 and 3 wheeler vehicles through AI-integrated IoT solutions that will make them smart, safe, connected. We are backed by investors like USV and Prime Venture.

 Duties and Responsibilities :

• Automating various tasks in cloud operations, deployment, monitoring, and performance optimization for big data stack.
• Build, release, and configuration management of production systems.
• System troubleshooting and problem-solving across platform and application domains.
• Suggesting architecture improvements, recommending process improvements.
• Evaluate new technology options and vendor products.
• Function well in a fast-paced, rapidly-changing environment
• Communicate effectively with people at all levels of the organization

Qualifications and Required Skills:

• Overall 3+ years of experience in various software engineering roles.
• 3+ years of experience in building applications and tools in any tech stack, preferably deployed on cloud
• Recent 3 years’ experience must be on Serverless/cloud-native development in AWS (preferred)/Azure
• Expertise in any of the programming languages – (NodeJS or Python preferable)
• Must have hands-on experience in using AWS/Azure - SDK/APIs.
• Must have experience in deploying, releasing, and managing production systems
• MCA or a degree in engineering in Computer Science, IT, or Electronics stream

Responsibilities

- Building and maintenance of resilient and scalable production infrastructure 

Improvement of monitoring systems

- Improvement of monitoring systems

- Creation and support of development automation processes (CI / CD)

- Participation in infrastructure development 

- Detection of problems in architecture and proposing of solutions for solving them 

- Creation of tasks for system improvements for system scalability, performance and monitoring

- Analysis of product requirements in the aspect of devops

- Incident analysis and fixing

Skills and Experience

- Understanding of the distributed systems principles 

- Understanding of principles for building a resistant network infrastructure 

- Experience of Ubuntu Linux administration (Debian-like will be a plus)

- Strong knowledge of Bash

- Experience of working with LXC-containers 

- Understanding and experience with infrastructure as a code approach 

- Experience of development idempotent Ansible roles

- Experience of working with git

Preferred experience

 Experience with relational databases (PostgeSQL), ability to create simple SQL queries 

- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)

- Understanding of dynamic routing (OSPF) 

- Knowledge and experience of working with network equipment Cisco

- Experience of working with Cisco NX-OS

- Experience of working with IPsec, VXLAN, Open vSwitch

- Knowledge of principles of multicast protocols IGMP, PIM

- Experience of setting multicast on Cisco equipment

- Experience administering Atlassian products