

About Concentric AI
About
About us:
Ask any CIO about corporate data and they’ll happily share all the work they’ve done to make their databases secure and compliant. Ask them about other sensitive information, like contracts, financial documents, and source code, and you’ll probably get a much less confident response. Few organizations have any insight into business-critical information stored in unstructured data.
There was a time when that didn’t matter. Those days are gone. Data is now accessible, copious, and dispersed, and it includes an alarming amount of business-critical information. It’s a target for both cybercriminals and regulators but securing it is incredibly difficult. It’s the data challenge of our generation.
Existing approaches aren’t doing the job. Keyword searches produce a bewildering array of possibly relevant documents that may or may not be business critical. Asking users to categorize documents requires extensive training and constant vigilance to make sure users are doing their part. What’s needed is an autonomous solution that can find and assess risk so you can secure your unstructured data wherever it lives.
That’s our mission. Concentric’s semantic intelligence solution reveals the meaning in your structured and unstructured data so you can fight off data loss and meet compliance and privacy mandates.
Check out our core cultural values and behavioural tenets here: https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/
Tech stack
Candid answers by the company
Concentric AI is a US-based Series-A-funded startup. It has engineering offices in Bangalore, San Jose, and Pune.
We are in the data security domain and use AI and machine learning to solve customer use cases. Our customers, large and mid-size enterprise customers are across verticals.
Using Semantic Intelligence, we address data security without rules or regex or end-user involvement. Our product helps gain visibility into the who, where and how of an enterprise customer's sensitive data. A customer can automatically remediate and minimize data risk with Concentric AI.
You can go through details of Concentric product on our website - www.concentric.ai
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Job Role : DevOps Engineer (Python + DevOps)
Experience : 4 to 10 Years
Location : Hyderabad
Work Mode : Hybrid
Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)
Job Description :
We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.
The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.
Key Responsibilities :
- Design and manage containerization and orchestration using Docker & Kubernetes.
- Automate deployments and infrastructure tasks using Ansible & Python.
- Build and maintain CI/CD pipelines for streamlined software delivery.
- Collaborate with development teams to integrate DevOps best practices.
- Monitor, troubleshoot, and optimize system performance.
- Enforce security best practices in containerized environments.
- Provide operational support and contribute to continuous improvements.
Required Qualifications :
- Bachelor’s in Computer Science/IT or related field.
- 4+ years of DevOps experience.
- Proficiency in Python and Ansible.
- Expertise in Docker and Kubernetes.
- Hands-on experience with CI/CD tools and pipelines.
- Experience with at least one cloud provider (AWS, Azure, or GCP).
- Strong analytical, communication, and collaboration skills.
Preferred Qualifications :
- Experience with Infrastructure-as-Code tools like Terraform.
- Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
- Understanding of Agile/Scrum practices.
About Us:
Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry.
Key Responsibilities
CI/CD and Infrastructure Automation
- Design, implement, and maintain CI/CD pipelines to support fast and reliable releases
- Automate deployments using tools such as Terraform, Helm, and Kubernetes
- Improve build and release processes to support high-performance and low-latency trading applications
- Work efficiently with Linux/Unix environments
Cloud and On-Prem Infrastructure Management
- Deploy, manage, and optimize infrastructure on AWS, GCP, and on-premises environments
- Ensure system reliability, scalability, and high availability
- Implement Infrastructure as Code (IaC) to standardize and streamline deployments
Performance Monitoring and Optimization
- Monitor system performance and latency using Prometheus, Grafana, and ELK stack
- Implement proactive alerting and fault detection to ensure system stability
- Troubleshoot and optimize system components for maximum efficiency
Security and Compliance
- Apply DevSecOps principles to ensure secure deployment and access management
- Maintain compliance with financial industry regulations such as SEBI
- Conduct vulnerability assessments and maintain logging and audit controls
Required Skills and Qualifications
- 2+ years of experience as a DevOps Engineer in a software or trading environment
- Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD)
- Proficiency in cloud platforms such as AWS and GCP
- Hands-on experience with Docker and Kubernetes
- Experience with Terraform or CloudFormation for IaC
- Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls)
- Familiarity with Prometheus, Grafana, and ELK stack
- Proficiency in scripting using Python, Bash, or Go
- Solid understanding of security best practices including IAM, encryption, and network policies
Good to Have (Optional)
- Experience with low-latency trading infrastructure or real-time market data systems
- Knowledge of high-frequency trading environments
- Exposure to FIX protocol, FPGA, or network optimization techniques
- Familiarity with Redis or Nginx for real-time data handling
Why Join Us?
- Work with a team that expects and delivers excellence.
- A culture where risk-taking is rewarded, and complacency is not.
- Limitless opportunities for growth—if you can handle the pace.
- A place where learning is currency, and outperformance is the only metric that matters.
- The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.
This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.
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.
Required Skills
• Automation is a part of your daily functions, so thorough familiarity with Unix Bourne shell scripting and Python is a critical survival skill.
• Integration and maintenance of automated tools
• Strong analytical and problem-solving skills
• Working experience in source control tools such as GIT/Github/Gitlab/TFS
• Have experience with modern virtualization technologies (Docker, KVM, AWS, OpenStack, or any orchestration platforms)
• Automation of deployment, customization, upgrades, and monitoring through modern DevOps tools (Ansible, Kubernetes, OpenShift, etc) • Advanced Linux admin experience
• Using Jenkins or similar tools
• Deep understanding of Container orchestration(Preferably Kubernetes )
• Strong knowledge of Object Storage(Preferably Cept on Rook)
• Experience in installing, managing & tuning microservices environments using Kubernetes & Docker both on-premise and on the cloud.
• Experience in deploying and managing spring boot applications.
• Experience in deploying and managing Python applications using Django, FastAPI, Flask.
• Experience in deploying machine learning pipelines/data pipelines using Airflow/Kubeflow /Mlflow.
• Experience in web server and reverse Proxy like Nginx, Apache Server, HAproxy
• Experience in monitoring tools like Prometheus, Grafana.
• Experience in provisioning & maintaining SQL/NoSQL databases.
Desired Skills
• Configuration software: Ansible
• Excellent communication and collaboration skills
• Good experience on Networking Technologies like a Load balancer, ACL, Firewall, VIP, DNS
• Programmatic experience with AWS, DO, or GCP storage & machine images
• Experience on various Linux distributions
• Knowledge of Azure DevOps Server
• Docker management and troubleshooting
• Familiarity with micro-services and RESTful systems
• AWS / GCP / Azure certification
• Interact with the Engineering for supporting/maintaining/designing backend infrastructure for product support
• Create fully automated global cloud infrastructure that spans multiple regions.
• Great learning attitude to the newest technology and a Team player
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies
Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
Hands-on Experience with application build/release processes CI/CD pipelines
Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA
Additional Requirements:
Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
Assist Sales and Marketing team in creating sales and marketing collateral
Write whitepapers and technology blogs to be published on social media and Intuitive website
Create case studies for projects successfully executed by Intuitive delivery team
Conduct sales enablement sessions to coach sales team on new offerings
Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
Strong passion for modern technology exploration and development
Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus
- Candidate should be able to write the sample programs using the Tools (Bash, PowerShell, Python or Shell scripting)
- Analytical/logical reasoning
- GitHub Actions
- Should have good working experience with GitHub Actions
- Repository/Workflow Dispatch, writing reusable workflows, etc
- AZ CLI commands
- Hands-on experience with AZ CLI commands

A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
- Good experience in AWS services like Elastic Compute Cloud(EC2), IAM, RDS, API Gateway, Cognito, etc.
- Using GIT, SonarQube, Ansible, Nexus, Nagios, etc.
- Strong experience in creating, importing and launching volumes with security groups, auto-scaling, Load Balancers, Fault-tolerant
- Experience in configuring Jenkins job with related Plugins for Building, Testing, and Continuous Deployment to accomplish the complete CI/CD.
This person MUST have:
- Min of 3-5 prior experience as a DevOps Engineer.
- Expertise in CI/CD pipeline maintenance and enhancement specifically Jenkins based pipelines.
- Working experience with engineering tools like git, git work flow, bitbucket, JIRA etc
- Hands-on experience deploying and managing infrastructure with CloudFormation/Terraform
- Experience managing AWS infrastructure
- Hands on experience of Linux administration.
- Basic understanding of Kubernetes/Docker orchestration
- Works closely with engineering team for day to day activities
- Manges existing infrastructure/Pipelines/Engineering tools (On Prem or AWS) for engineering team (Build servers/Jenkin nodes etc.)
- Works with engineering team for new config required for infra like replicating the setups, adding new resources etc.
- Works closely with engineering team for improving existing pipelines for build .
- Troubleshoots problems across infrastructure/services
Experience:
- Min 5-7 year experience
Location
- Remotely, anywhere in India
Timings:
- 40 hours a week (11 AM to 7 PM).
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.




























