AWS Cloud Infrastructure & Snowflake Platform Engineer

Company Description

Rootflo is an innovative AI-driven company transforming finance back offices through advanced revenue intelligence and workflow automation solutions. Specializing in empowering financial institutions, Rootflo partners with leading banks, lending platforms, and insurance companies to revolutionize their operations. Leveraging the power of artificial intelligence, Rootflo provides efficient and intelligent systems that drive business outcomes. The company is dedicated to delivering impactful advancements for modern financial processes.

About the Role

We are looking for a motivated and technically sound Junior Cloud / Infrastructure Engineer with approximately 1 year of hands-on experience in designing, deploying, and managing cloud infrastructure on AWS, GCP, or Azure using Kubernetes. The candidate will work closely with senior engineers to support and maintain scalable, secure, and highly available cloud environments while gaining exposure across the full cloud stack.

Key Responsibilities

Cloud Infrastructure

• Assist in provisioning and managing cloud resources (VMs, storage, networking, databases) on AWS / GCP / Azure in Kubernetes
• Support infrastructure-as-code (IaC) implementation using Terraform
• Monitor cloud resource usage, costs, and performance; raise alerts for anomalies
• Set up log monitoring and other tracking
• Implementing cost optimizations and efficient resource utilisation

Networking & Security

• Configure VPCs, subnets, security groups, IAM roles, and access policies
• Assist in implementing firewalls, SSL/TLS certificates, and VPN connectivity
• Support compliance and security best practices (CIS benchmarks, least privilege)

CI/CD & DevOps Support

• Work with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or similar)
• Assist in containerization and orchestration using Docker and Kubernetes (EKS / GKE / AKS)
• Support deployment automation and version control workflows

Monitoring & Incident Response

• Use monitoring tools such as CloudWatch, Stackdriver, Azure Monitor, Grafana, or Datadog
• Respond to infrastructure alerts and assist in root cause analysis (RCA)
• Participate in on-call rotations and incident triage as required

Collaboration

• Work closely with development, QA, and product teams to support release cycles
• Maintain documentation for infrastructure, runbooks, and architecture diagrams
• Participate in code reviews for infrastructure scripts and configurations

Required Skills & Qualifications

Cloud Platforms (Any One Primary)

• AWS: EC2, S3, RDS, Lambda, VPC, IAM, ECS/EKS, CloudWatch, Route 53
• GCP: Compute Engine, GCS, Cloud SQL, GKE, Cloud Functions, VPC, IAM, Stackdriver
• Azure: VMs, Azure Storage, Azure SQL, AKS, Azure Functions, VNet, AAD, Azure Monitor

Infrastructure & Automation

• Hands-on with Terraform and/or CloudFormation / ARM Templates / GCP Deployment Manager
• Proficiency in Linux/Unix system administration
• Scripting skills in Bash, Python, or PowerShell

Containers & DevOps

• Working knowledge of Docker (build, push, run, Compose)
• Basic understanding of Kubernetes concepts (pods, deployments, services, ingress)
• Familiarity with at least one CI/CD tool

Networking Fundamentals

• Understanding of DNS, HTTP/HTTPS, TCP/IP, load balancers, CDNs
• Experience with cloud-native networking (VPCs, peering, NAT gateways)

Soft Skills

• Strong problem-solving ability and attention to detail
• Good written and verbal communication
• Eagerness to learn and adapt in a fast-paced environment

Good to Have

• Cloud certification: AWS Solutions Architect Associate / GCP ACE / Azure AZ-900 or AZ-104
• Experience with GitOps tools like ArgoCD or Flux
• Exposure to service mesh (Istio, Linkerd)
• Knowledge of Ansible or Chef/Puppet for configuration management
• Familiarity with observability tools: Prometheus, Grafana, ELK Stack
• Experience with cost optimization and FinOps practices

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.

Roles & Responsibilities:

• Bachelor’s degree in Computer Science, Information Technology or a related field

• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure

• Knowledge in Linux/Unix Administration and Python/Shell Scripting

• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure

• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms

• Experience in enterprise application development, maintenance and operations

• Knowledge of best practices and IT operations in an always-up, always-available service

• Excellent written and oral communication skills, judgment and decision-making skills

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.

FINTECH CANDIDATES ONLY

About the job:

Emint is a fintech startup with the mission to ‘Make the best investing product that Indian consumers love to use, with simplicity & intelligence at the core’. We are creating a platformthat

gives a holistic view of market dynamics which helps our users make smart & disciplined

investment decisions. Emint is founded by a stellar team of individuals who come with decades of

experience of investing in Indian & global markets. We are building a team of highly skilled &

disciplined team of professionals and looking at equally motivated individuals to be part of

Emint. Currently are looking at hiring a Devops to join our team at Bangalore.

Job Description :

Must Have:

• Hands on experience on AWS DEVOPS

• Experience in Unix with BASH scripting is must

• Experience working with Kubernetes, Docker.

• Experience in Gitlab, Github or Bitbucket artifactory

• Packaging, deployment

• CI/CD pipeline experience (Jenkins is preferable)

• CI/CD best practices

Good to Have:

• Startup Experience

• Knowledge of source code management guidelines

• Experience with deployment tools like Ansible/puppet/chef is preferable

• IAM knowledge

• Coding knowledge of Python adds value

• Test automation setup experience

Qualifications:

• Bachelor's degree or equivalent experience in Computer Science or related field

• Graduates from IIT / NIT/ BITS / IIIT preferred

• Professionals with fintech ( stock broking / banking ) preferred

• Experience in building & scaling B2C apps preferred

Job Description

• Minimum 3+ yrs of Experience in DevOps with AWS Platform

• Strong AWS knowledge and experience

• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)

• Experience with IAC tools Terraform

• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)

• Significant experience with Linux operating system environments

• Experience with infrastructure scripting solutions such as Python/Shell scripting

• Must have experience in designing Infrastructure automation framework.

• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)

• Excellent problem-solving, Log Analysis and troubleshooting skills

• Experience in setting up centralized logging for system (EKS, EC2) and application

• Process-oriented with great documentation skills

• Ability to work effectively within a team and with minimal supervision

DevOps Architect 

Experience:  10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.

Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired

Technical Skillset: Skills Proficiency level

• Build tools (Ant or Maven) - Expert
• CI/CD tool (Jenkins or Github CI/CD) - Expert
• Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
• Infrastructure As Code (Terraform, Helm charts etc.) - Expert
• Containerization (Docker, Docker Registry) - Expert
• Scripting (linux) - Expert
• Cluster deployment (Kubernetes) & maintenance - Expert
• Programming (Java) - Intermediate
• Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
• Artifactory (JFrog) - Expert
• Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
• Ansible, MySQL, PostgreSQL - Intermediate

At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.

A few recognitions:

• Recognized as Top25 startups in India to work with 2019 by LinkedIn
• Winner of HDFC Bank's Digital Innovation Summit 2020
• Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
• Winner of Amazon AI Award 2019 for Fintech
• Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
• Winner of FinShare 2018 challenge held by ShareKhan
• Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
• 2nd place Citi India FinTech Challenge 2018 by Citibank
• Top 3 in Viacom18's Startup Engagement Programme VStEP

What your average day would look like:

• Deploy and maintain mission-critical information extraction, analysis, and management systems
• Manage low cost, scalable streaming data pipelines
• Provide direct and responsive support for urgent production issues
• Contribute ideas towards secure and reliable Cloud architecture
• Use open source technologies and tools to accomplish specific use cases encountered within the project
• Use coding languages or scripting methodologies to solve automation problems
• Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
• Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time

What you need to work with us:

• Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
• Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
• Proficiency in Unix Operating systems and comfortable with Networking concepts
• Experience with developing/deploying a scalable system
• Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
• Experience in managing Hadoop clusters
• Understanding of containers and have managed them in production using container orchestration services.
• Solid understanding of data structures and algorithms.
• Applied exposure to continuous delivery pipelines (CI/CD).
• Keen interest and proven track record in automation and cost optimization.

Experience:

• 1-4 years of relevant experience
• BE in Computer Science / Information Technology