Devops Engineer

Job Description: DevOps Engineer

Location: Bangalore / Hybrid / Remote

Company: LodgIQ

Industry: Hospitality / SaaS / Machine Learning

About LodgIQ

Headquartered in New York, LodgIQ delivers a revolutionary B2B SaaS platform to the

travel industry. By leveraging machine learning and artificial intelligence, we enable precise

forecasting and optimized pricing for hotel revenue management. Backed by Highgate

Ventures and Trilantic Capital Partners, LodgIQ is a well-funded, high-growth startup with a

global presence.

Role Summary:

We are seeking a Senior DevOps Engineer with 5+ years of strong hands-on experience in

AWS, Kubernetes, CI/CD, infrastructure as code, and cloud-native technologies. This

role involves designing and implementing scalable infrastructure, improving system

reliability, and driving automation across our cloud ecosystem.

Key Responsibilities:

• Architect, implement, and manage scalable, secure, and resilient cloud

infrastructure on AWS

• Lead DevOps initiatives including CI/CD pipelines, infrastructure automation,

and monitoring

• Deploy and manage Kubernetes clusters and containerized microservices

• Define and implement infrastructure as code using

Terraform/CloudFormation

• Monitor production and staging environments using tools like CloudWatch,

Prometheus, and Grafana

• Support MongoDB and MySQL database administration and optimization

• Ensure high availability, performance tuning, and cost optimization

• Guide and mentor junior engineers, and enforce DevOps best practices

• Drive system security, compliance, and audit readiness in cloud environments

• Collaborate with engineering, product, and QA teams to streamline release

processes

Required Qualifications:

• 5+ years of DevOps/Infrastructure experience in production-grade environments

• Strong expertise in AWS services: EC2, EKS, IAM, S3, RDS, Lambda, VPC, etc.

• Proven experience with Kubernetes and Docker in production

• Proficient with Terraform, CloudFormation, or similar IaC tools

• Hands-on experience with CI/CD pipelines using Jenkins, GitHub Actions, or

similar

• Advanced scripting in Python, Bash, or Go

• Solid understanding of networking, firewalls, DNS, and security protocols

• Exposure to monitoring and logging stacks (e.g., ELK, Prometheus, Grafana)

• Experience with MongoDB and MySQL in cloud environments

Preferred Qualifications:

• AWS Certified DevOps Engineer or Solutions Architect

• Experience with service mesh (Istio, Linkerd), Helm, or ArgoCD

• Familiarity with Zero Downtime Deployments, Canary Releases, and Blue/Green

Deployments

• Background in high-availability systems and incident response

• Prior experience in a SaaS, ML, or hospitality-tech environment

Tools and Technologies You’ll Use:

• Cloud: AWS

• Containers: Docker, Kubernetes, Helm

• CI/CD: Jenkins, GitHub Actions

• IaC: Terraform, CloudFormation

• Monitoring: Prometheus, Grafana, CloudWatch

• Databases: MongoDB, MySQL

• Scripting: Bash, Python

• Collaboration: Git, Jira, Confluence, Slack

Why Join Us?

• Competitive salary and performance bonuses.

• Remote-friendly work culture.

• Opportunity to work on cutting-edge tech in AI and ML.

• Collaborative, high-growth startup environment.

• For more information, visit http://www.lodgiq.com

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.

Position: DevOps Engineer

Job Description

The candidate should have the following Skills:

- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).

- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)

- Exposure to Cloud operations, releases, and configuration management

- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.

- Good soft skills, great attitude, and passion for working in a product startup environment

Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.

What we believe?

• Best practices are overrated

• Implementing best practices can only make one n ‘average’ .

• Honesty and Transparency

• We believe in naked truth. We do what we tell and tell what we do.

• Client Partnership

• Client - Vendor relationship: No. We partner with clients instead. 
• And our sales team comprises 100% of our clients.

How we work?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

• Humble: Happy people don’t carry ego around. We listen to understand; not to respond.

• Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.

• Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.

• Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.

• Innovative: Innovate or Die. We love to challenge the status quo.

• Experimental: We encourage curiosity & making mistakes.

• Responsible: Driven. Self motivated. Self governing teams. We own it.

Are you the one? Quick self-discovery test:

• Love for 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.
• Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
• Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
• 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 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
• Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
• Continually augment skills and learn new tech as the technology and client needs evolve
• Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
• Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
• Provide leadership to project teams, and facilitate the definition of project deliverables around core Cloud based technology and methods.
• Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results.
• Define optimal design patterns and solutions for high availability and disaster recovery for applications
• Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in AWS
• Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas
• Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
• Demonstrate leadership ability to back decisions with research and the “why,” and articulate several options, the pros and cons for each, and a recommendation • Maintain overall industry knowledge on latest trends, technology, etc. • • Contribute to DevOps development activities and complex development tasks
• Act as a Subject Matter Expert on cloud end-to-end architecture, including AWS and future providers, networking, provisioning, and management

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.

Education, Experience, etc.

• 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!
• 6 - 10 years of experience with at least 5 - 6 years of hands-on experience in Cloud Computing
• (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
• Good analytical, communication, problem solving, and learning skills.
• Knowledge on programming against cloud platforms such as AWS and lean development methodologies.