Devops Architect

Job Summary:

We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.

Key Responsibilities:

• Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
• Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
• Develop and manage infrastructure using Terraform or CloudFormation.
• Manage and orchestrate containers using Docker and Kubernetes (EKS).
• Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
• Write robust automation scripts using Python and Shell scripting.
• Monitor system performance and availability, and ensure high uptime and reliability.
• Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
• Maintain clear documentation and provide technical support to stakeholders and clients.
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Required Skills:

• Minimum 4+ years of experience in a DevOps or related role.
• Proven experience in client-facing engagements and communication.
• Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
• Proficiency in Infrastructure as Code using Terraform or CloudFormation.
• Hands-on experience with Docker and Kubernetes (EKS).
• Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
• Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
• Proficient in Python and Shell scripting.
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Preferred Qualifications:

AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.

Experience working in Agile/Scrum environments.

Strong problem-solving and analytical skills.

We are seeking an experienced Operations Lead to drive operational excellence and lead a dynamic team in our fast-paced environment. The ideal candidate will combine strong technical expertise in Python with proven leadership capabilities to optimize processes, ensure system reliability, and deliver results.

Key Responsibilities

• Team & stakeholder leadership - Lead 3-4 operations professionals and work cross-functionally with developers, system administrators, quants, and traders

• DevOps automation & deployment - Develop deployment pipelines, automate configuration management, and build Python-based tools for operational processes and system optimization

• Technical excellence & standards - Drive code reviews, establish development standards, ensure regional consistency with DevOps practices, and maintain technical documentation

• System operations & performance - Monitor and optimize system performance for high availability, scalability, and security while managing day-to-day operations

• Incident management & troubleshooting - Coordinate incident response, resolve infrastructure and deployment issues, and implement automated solutions to prevent recurring problems

• Strategic technical leadership - Make infrastructure decisions, identify operational requirements, design scalable architecture, and stay current with industry best practices

• Reporting & continuous improvement - Report on operational metrics and KPIs to senior leadership while actively contributing to DevOps process improvements

Qualifications and Experience

• Bachelor's degree in Computer Science, Engineering, or related technical field
• Proven experience of at least 5 years as a Software Engineer including at least 2 years as a DevOps Engineer or similar role, working with complex software projects and environments.
• Excellent knowledge with cloud technologies, containers and orchestration.
• Proficiency in scripting and programming languages such as Python and Bash.
• Experience with Linux operating systems and command-line tools.
• Proficient in using Git for version control.

Good to Have

• Experience with Nagios or similar monitoring and alerting systems
• Backend and/or frontend development experience for operational tooling
• Previous experience working in a trading firm or financial services environment
• Knowledge of database management and SQL
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Experience with DevOps practices and CI/CD pipelines
• Understanding of network protocols and system administration

Why You’ll Love Working Here

We’re a team that hustles—plain and simple. But we also believe life outside work matters. No cubicles, no suits—just great people doing great work in a space built for comfort and creativity.

Here’s what we offer:

💰 Competitive salary – Get paid what you’re worth.

🌴 Generous paid time off – Recharge and come back sharper.

🌍 Work with the best – Collaborate with top-tier global talent.

✈️ Adventure together – Annual offsites (mostly outside India) and regular team outings.

🎯 Performance rewards – Multiple bonuses for those who go above and beyond.

🏥 Health covered – Comprehensive insurance so you’re always protected.

⚡ Fun, not just work – On-site sports, games, and a lively workspace.

🧠 Learn and lead – Regular knowledge-sharing sessions led by your peers.

📚 Annual Education Stipend – Take any external course, bootcamp, or certification that makes you better at your craft.

🏋️ Stay fit – Gym memberships with equal employer contribution to keep you at your best.

🚚 Relocation support – Smooth move? We’ve got your back.

🏆 Friendly competition – Work challenges and extracurricular contests to keep things exciting.

We work hard, play hard, and grow together. Join us.

(P.S. We hire for talent, not pedigree—but if you’ve worked at a top tech co or fintech startup, we’d love to hear how you’ve shipped great products.)

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.

The candidates should have:

·  Strong knowledge on Windows and Linux OS

·   Experience working in Version Control Systems like git

·  Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.

·  Basic understanding of SQL commands

·  Experience working on Azure Cloud DevOps

• Candidate should have good Platform experience on Azure with Terraform.
• The devops engineer  needs to help developers, create the Pipelines and K8s Deployment Manifests.
• Good to have experience on migrating data from (AWS) to Azure. 
• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
• VMs to be provisioned on Azure Cloud and managed.
• Good hands on experience of Networking on Cloud is required.
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
• Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential. 
• Requirement is  to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
• The experience in AWS is desirable 
• Python experience is optional however Power shell is mandatory
• Know-how on the use of GitHub

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.

Job Description :

• Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
• Extensive AWS/GCP Core Infrastructure skills
• Infrastructure/ IAC Automation, Integration - Terraform
• Kubernetes resources engineering and management
• Experience with DevOps tools, CICD pipelines and release management
• Good at creating documentation(runbooks, design documents, implementation plans )

Linux Experience :

1. Namespace
2. Virtualization
3. Containers

Networking Experience

1. Virtual networking
2. Overlay networks
3. Vxlans, GRE

Kubernetes Experience :

Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.

Observability                              

Experience in observability is a plus

Cloud automation :

Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

- You will manage all elements of the post-sale program relationship with your customers, starting with customer on-boarding and continuing throughout the customer relationship. 

- As the primary customer interface, you engage with customer teams to educate, identify needs, develop designs, set goals, manage and execute on plans that unlock continuous, incremental value from their investments in the CloudPassage Halo platform.

- You are hands-on during execution and thoroughly enjoy seeing your security projects come to life and supporting them afterwards. You are a trusted adviser.

Responsibilities :

- Manage a portfolio of 5+ Enterprise customer accounts with complex needs (typical enterprise customers invest between $500k and $4m+ per year with CloudPassage, have hundreds to tens of thousands of individual public cloud infrastructure deployments, and protect hundreds of thousands of cloud infrastructure assets with Halo).

- Provide level-3 technical support on your customer's most complex issues

- Lead implementation of low-level security controls in Cloud environments, for services, server and containers

- Remotely diagnose & resolve DevSecOps issues in customer environments - able to resolve their DevOps issues that may be interfering with CloudPassage processing.

- Interact with CloudPassage Engineering team by providing customer issue reproduction and data capture, technical diagnostics and validating fixes. QA experience preferred.

- Establish and program manage proactive, value-driven, high-touch relationships with your customers to understand, document and align customer strategies, business objectives, designs, processes and projects with Halo platform capabilities and broader CloudPassage services.

- Develop a trusted advisor relationship by building and maintaining appropriate relationships at all levels with your customer accounts, creating a premium and high-caliber experience.

- Ensure continued satisfaction, identify & confirm unaddressed customer needs that can be value-add opportunities for up-sell and cross-sell, and communicate those needs to the CloudPassage sales team. Identify any early CSAT issues and renewal risks and work with the internal team to remediate and ensure strong CSAT and a successful renewal.

- Be a strong customer advocate within CloudPassage and identify and support areas for improvement in the customer experience, both in our product and processes.

- Be team-oriented, but with a bias towards action to get things done for your customers.

Requirements : Strong cloud security knowledge & experience including :

- End-to-end enterprise security processes

- Cloud security - cloud migrations & shift in security requirements, tooling & approach

- Hands-on DevOps, DevSecOps architecture & automation (critical)

- 4+ years experience in security consulting and project/program management serving cybersecurity customers.

- Complex, level 3 technical support

- Remotely diagnosing & resolving DevSecOps issues in customer environments

- Interacting with CloudPassage Engineering team with customer issue reproduction

- Experience working in a security SaaS company in a startup environment.
 
- Experience working with Executive and C-Level teams.

- Ability to build and maintain strong relationships with internal and external constituents.

- Excellent organization, project management, time management, and communication skills.

- Understand and document customer requirements, map to product, track & report metrics, identify up-sell and cross-sell opportunities.
 
- Analytical both quantitatively and qualitatively.

- Excellent verbal and written communication skills.
 
- Security certifications (Security +, CISSP, etc.).

Expert Technical Skills :

- Consulting and project management : documenting project charters, project plans, executing delivery management, status reporting. Executive-level presentation skills.

- Security best practices expertise : software vulnerabilities, configuration management, intrusion detection, file integrity.

- System administration (including Linux and Windows) of cloud environments : AWS, Azure, GCP; strong networking/proxy skills.

Proficient Technical Skills :

- Configuration/Orchestration (Chef, Puppet, Ansible, SaltStack, CloudFormation, Terraform).

- CI/CD processes and environments.

Familiar Technical Skills & Knowledge : Python scripting & REST API's, Docker containers, Zendesk & JIRA.

1. Experience: 3-5 Years
2. Scripting: PowerShell and either of ( JavaScript, Python)
3. Kubernetes and docker Hands-On   
4. Good to have either (Azure / AWS ) 
5. Any of DB technologies Hands-ON: No SQL - Admin, COSMOS DB, MONGO DB, Maria DBA  
6. Good to have Analytics knowledge