Sr. Devops Engineer

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.

Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients

Please Apply - https://zrec.in/L51Qf?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title:             Senior DevOps Engineer (Infrastructure/SRE)

Department:       Technology

Location:             Gurgaon

Work Mode:         On-site

Working Hours:   10 AM - 7 PM 

Terms:                 Permanent

Experience:      4-6 years

Education:           B.Tech/MCA

Notice Period:     Immediately

About Us

At Infra360.io, we are a next-generation cloud consulting and services company committed to delivering comprehensive, 360-degree solutions for cloud, infrastructure, DevOps, and security. We partner with clients to transform and optimize their technology landscape, ensuring resilience, scalability, cost efficiency and innovation.

Our core services include Cloud Strategy, Site Reliability Engineering (SRE), DevOps, Cloud Security Posture Management (CSPM), and related Managed Services. We specialize in driving operational excellence across multi-cloud environments, helping businesses achieve their goals with agility and reliability.

We thrive on ownership, collaboration, problem-solving, and excellence, fostering an environment where innovation and continuous learning are at the forefront. Join us as we expand and redefine what’s possible in cloud technology and infrastructure.

Role Summary

We are looking for a Senior DevOps Engineer (Infrastructure) to design, automate, and manage cloud-based and datacentre infrastructure for diverse projects. The ideal candidate will have deep expertise in a public cloud platform (AWS, GCP, or Azure), with a strong focus on cost optimization, security best practices, and infrastructure automation using tools like Terraform and CI/CD pipelines.

This role involves designing scalable architectures (containers, serverless, and VMs), managing databases, and ensuring system observability with tools like Prometheus and Grafana. Strong leadership, client communication, and team mentoring skills are essential. Experience with VPN technologies and configuration management tools (Ansible, Helm) is also critical. Multi-cloud experience and familiarity with APM tools are a plus.

Ideal Candidate Profile

• Solid 4-6 years of experience as a DevOps engineer with a proven track record of architecting and automating solutions on Cloud
• Experience in troubleshooting production incidents and handling high-pressure situations.
• Strong leadership skills and the ability to mentor team members and provide guidance on best practices.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Extensive experience with Kubernetes, Terraform, ArgoCD, and Helm.
• Strong with at least one public cloud AWS/GCP/Azure
• Strong with Cost Optimization and Security Best practices
• Strong with Infrastructure automation using Terraform and CI/CD automation
• Strong with Configuration Management using Ansible, Helm etc
• Good with designing architectures (Containers, Serverless, VMs etc)
• Hands-on Experience working on Multiple Projects
• Strong with Client communication and requirements gathering
• Databases management experience
• Good experience with Prometheus, Grafana & Alert Manager
• Able to manage multiple clients and take ownership of client issues.
• Experience with Git and coding best practices
• Proficiency in cloud networking, including VPCs, DNS, VPNs (OpenVPN, OpenSwan, Pritunl, Site-to-Site VPNs), load balancers, and firewalls, ensuring secure and efficient connectivity.
• Strong understanding of cloud security best practices, identity and access management (IAM), and compliance requirements for modern infrastructure.

Good to have

• Multi-cloud experience with AWS, GCP & Azure
• Experience with APM & Observability tools like - Newrelic, Datadog, and OpenTelemetry
• Proficiency in scripting languages (Python, Go) for automation and tooling to improve infrastructure and application reliability.

Key Responsibilities

1. Design and Development:
2. Architect, design, and develop high-quality, scalable, and secure cloud-based software solutions.
3. Collaborate with product and engineering teams to translate business requirements into technical specifications.
4. Write clean, maintainable, and efficient code, following best practices and coding standards.
5. Cloud Infrastructure:
6. Develop and optimise cloud-native applications, leveraging cloud services like AWS, Azure, or Google Cloud Platform (GCP).
7. Implement and manage CI/CD pipelines for automated deployment and testing.
8. Ensure the security, reliability, and performance of cloud infrastructure.
9. Technical Leadership:
10. Mentor and guide junior engineers, providing technical leadership and fostering a collaborative team environment.
11. Participate in code reviews, ensuring adherence to best practices and high-quality code delivery.
12. Lead technical discussions and contribute to architectural decisions.
13. Problem Solving and Troubleshooting:
14. Identify, diagnose, and resolve complex software and infrastructure issues.
15. Perform root cause analysis for production incidents and implement preventative measures.
16. Continuous Improvement:
17. Stay up-to-date with the latest industry trends, tools, and technologies in cloud computing and software engineering.
18. Contribute to the continuous improvement of development processes, tools, and methodologies.
19. Drive innovation by experimenting with new technologies and solutions to enhance the platform.
20. Collaboration:
21. Work closely with DevOps, QA, and other teams to ensure smooth integration and delivery of software releases.
22. Communicate effectively with stakeholders, including technical and non-technical team members.
23. Client Interaction & Management: 
24. Will serve as a direct point of contact for multiple clients.
25. Able to handle the unique technical needs and challenges of two or more clients concurrently. 
26. Involve both direct interaction with clients and internal team coordination.
27. Production Systems Management: 
28. Must have extensive experience in managing, monitoring, and debugging production environments. 
29. Will work on troubleshooting complex issues and ensure that production systems are running smoothly with minimal downtime.

• Provision Dev Test Prod Infrastructure as code using IaC (Infrastructure as Code)
• Good knowledge on Terraform
• In-depth knowledge of security and IAM / Role Based Access Controls in Azure, management of Azure Application/Network Security Groups, Azure Policy, and Azure Management Groups and Subscriptions.
• Experience with Azure and GCP compute, storage and networking (we can also look for GCP )
• Experience in working with ADLS Gen2, Databricks and Synapse Workspace
• Experience supporting cloud development pipelines using Git, CI/CD tooling, Terraform and other Infrastructure as Code tooling as appropriate
• Configuration Management (e.g. Jenkins, Ansible, Git, etc...)
• General automation including Azure CLI, or Python, PowerShell and Bash scripting
• Experience with Continuous Integration/Continuous Delivery models
• Knowledge of and experience in resolving configuration issues
• Understanding of software and infrastructure architecture
• Experience in Paas, Terraform and AKS
• Monitoring, alerting and logging tools, and build/release processes Understanding of computing technologies across Windows and Linux

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team player. You will be a lead developer responsible for the development of new software security policies and enhancements to security on existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. 

Responsibilities

• Consulting with management on the operational requirements of software solutions.
• Contributing expertise on information system options, risk, and operational impact.
• Mentoring junior software developers in gaining experience and assuming DevOps responsibilities.
• Managing the installation and configuration of solutions.
• Collaborating with developers on software requirements, as well as interpreting test stage data.
• Developing interface simulators and designing automated module deployments.
• Completing code and script updates, as well as resolving product implementation errors.
• Overseeing routine maintenance procedures and performing diagnostic tests.
• Documenting processes and monitoring performance metrics.
• Conforming to best practices in network administration and cybersecurity.

Qualifications

• Minimum of 2 years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructure such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail and other services provided by AWS.
• Experience Building a multi-region highly available auto-scaling infrastructure that optimises performance and cost. plan for future infrastructure as well as Maintain & optimise existing infrastructure.
• Conceptualise, architect and build automated deployment pipelines in a CI/CD environment like Jenkins.
• Conceptualise, architect and build a containerised infrastructure using Docker, Mesosphere or similar SaaS platforms.
• Conceptualise, architect and build a secured network utilising VPCs with inputs from the security team.
• Work with developers & QA to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional and performance status.
• Work with developers to institute systems, policies and workflows which allow for rollback of deployments Triage release of applications to production environment on a daily basis.
• Interface with developers and triage SQL queries that need to be executed in production environments.
• Assist the developers and on calls for other teams with post mortem, follow up and review of issues affecting production availability.
• Minimum 2 years’ experience in Ansible.
• Must have written playbook to automate provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
• Must have had prior experience automating deployments to production and lower environments.
• Experience with APM tools like New Relic and log management tools.
• Our entire platform is hosted on AWS, comprising of web applications, webservices, RDS, Redis and Elastic Search clusters and several other AWS resources like EC2, S3, Cloud front, Route53 and SNS.
• Essential Functions System Architecture Process Design and Implementation

• Minimum of 2 years scripting experience in Ruby/Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible)Establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
• Establishing and enforcing systems monitoring tools and standards
• Establishing and enforcing Risk Assessment policies and standards
• Establishing and enforcing Escalation policies and standards

• Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
• Familiarity with Python-related technologies and frameworks like Django or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
• Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
• Good understanding & implementation experience using 12-factor App principles
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices

Job Dsecription:

○ Develop best practices for team and also responsible for the architecture

○ solutions and documentation operations in order to meet the engineering departments quality and standards

○ Participate in production outage and handle complex issues and works towards Resolution

○ Develop custom tools and integration with existing tools to increase engineering Productivity

Required Experience and Expertise

○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.

○ Deep understanding of Terraform with best practices & writing TF modules.

○ Hands-on experience of GCP  and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.

○ Deep understanding of Kernel, Networking and OS fundamentals

NOTICE PERIOD - Max - 30 days

• Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
• Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
• Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
• Participating in on-call escalation to troubleshoot customer-facing issues
• Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
• Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.

• Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team 
• Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
• Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
• Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
• Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
• CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution 
• Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
• Should have strong skills in using JIRA build tool
• Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
• Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
• Experience in monitoring tools like Pingdom, Nagios, etc.
• Experience in reverse proxy services like Nginx and Apache
• Desirable experience in Bitbucket with version control tools like GIT/SVN
• Experience of manual/automated testing desired application deployments
• Experience in database technologies such as PostgreSQL, MySQL
• Knowledge of helm and terraform