Senior Devops Engineer

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI 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.

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

We are looking for two Senior DevOps Engineer to join our Mumbai-based infrastructure team for a critical on-premises deployment project. This role is focused on transforming manual, legacy deployment practices into structured, secure, and compliant processes within a Windows-first, latency-sensitive environment.

The successful candidate will drive the creation of SOPs, deployment pipelines (without containerization), and a staging environment to support a hybrid stack of ASP.NET MVC (.NET), MS SQL Server (replication mode), and Java microservices with MySQL. This position requires on-site presence in Mumbai due to regulatory and infrastructure constraints and will play a key role in ensuring compliance with SEBI, RBI, PFMI, and IOSCO standards.

Key responsibility would be to lead deployment modernization efforts in a secure, on-premises environment based in Mumbai. The role involves working with legacy Windows infrastructure, ASP.NET MVC apps, MS SQL replication, and manual deployment processes. No containerization or CI/CD tools are in place, so we’re looking for someone who can establish automation and structure from the ground up.

Mandatory: On-site availability in Mumbai, strong experience with manual Windows-based deployments, regulatory compliance awareness (SEBI/RBI/PFMI).

Duration: 3-6 months | Immediate start

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development at LS telcom in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud as LS service
• Implementation of installations of the LS system solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for LS development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Position Summary

Cloud Engineer helps to solutionize, enable, migrate and onboard clients to a secure cloud
platform, which offload the heavy lifting for the clients so that they can focus on their own business
value creation.

Job Description

• Assessing existing customer systems and/or cloud environment to determine the best migration approach and supporting tools used
• Build a secure and compliant cloud environment, with a proven enterprise operating model, on-going cost optimisation, and day-to-day infrastructure management
• Provide and implement cloud solutions to reduce operational overhead and risk, and automates common activities, such as change requests, monitoring, patch management, security, and backup services, and provides full-lifecycle services to provision, run, and support their infrastructure
• Collaborate with internal service teams to meet the clients’ needs for their infrastructure and application deployments
• Troubleshoot complex infrastructure deployments, recreate customer issues, and build proof of concept environments that abide by cloud-best-practices & well architecture frameworks
• Apply advanced troubleshooting techniques to provide unique solutions to our customers’ individual needs
• Work on critical, highly complex customer problems that will span across multiple cloud platforms and services
• Identify and drive improvements on process and technical related issues. Act as an escalation point of contact for the clients
• Drive clients meetings & communication during reviews

Requirement:

• Degree in computer science or a similar field.
• At least 2 year of experience in the field of cloud computing.
• Experience with CI/CD systems.
• Strong in Cloud services
• Exposure to AWS/GCP and other cloud-based infrastructure platforms
• Experience with AWS configuration and management – EC2, S3, EBS, ELB, IAM, VPC, RDS, CloudFront etc
• Exposure in architecting, designing, developing, and implementing cloud solutions on AWS platforms or other cloud server such as Azure, Google Cloud
• Proficient in the use and administration of all versions of MS Windows Server
• Experience with Linux and Windows system administration and web server configuration and monitoring
• Solid programming skills in Python, Java, Perl
• Good understanding of software design principles and best practices
• Good knowledge of REST APIs
• Should have hands-on experience in any deployment orchestration tool (Jenkins, Urbancode, Bamboo, etc.)
• Experience with Docker, Kubernetes, and Helm charts
• Hands on experience in Ansible and Git repositories
• Knowledge in Maven / Gradle
• Azure, AWS, and GCP certifications are preferred.
• Troubleshooting and analytical skills.
• Good communication and collaboration skills.

As a DevOps Engineer, you are responsible for setting up and maintaining the GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, and Cloud security.

• Set up, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi-hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Work on Docker images and maintain Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Work on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve a successful implementation of integrated solutions within the portfolio.
• Have the necessary technical and professional expertise.

• Minimum 5-12 years of experience in the IT industry.
• Expertise in implementing and managing DevOps CI/CD pipeline.
• Experience in DevOps automation tools. Well versed with DevOps Frameworks, and Agile.
• Working knowledge of scripting using Shell, Python, Terraform, Ansible, Puppet, or chef.
• Experience and good understanding of any Cloud like AWS, Azure, or Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience with Jira is a plus.

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being here.

It  is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II,offers a suite of three products - Plum, Empuls, and Compass. Works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, It  is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

About the Company

• 💰 Early-stage, ed-tech, funded, growing, growing fast
• 🎯 Mission Driven: Make Indonesia competitive on a global scale
• 🥅 Build the best educational content and technology to advance STEM education
• 🥇 Students-First approach
• 🇮🇩 🇮🇳 Teams in India and Indonesia

Skillset 🧗🏼‍♀️

• You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
• You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
• You have experience operating and maintaining production systems in a Linux based public cloud environment
• You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
• You’re in love with system metrics and strive to help deliver improvements to systems all the time
• You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
• You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
• You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
• You have high integrity, and you are reliable

What you can expect from us 👌🏼

☮️ Mentorship, growth, great work culture

• Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
• We are a people-first, high-trust, high-autonomy team
• We live in the TDD, Pair Programming, First Principles world

🌏 Remote done right

• Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
• Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
• A good balance between deep focussed work and collaborative work ⚖️

🖥️ Friendly, humane interview process

• 30-minute alignment check and screening call
• A short take-home coding assignment, no more than 2-3 hours. Time is precious
• Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
• In-depth engineering discussion around your skills and career so far
• System design and architecture interview for seniors

What we ask from you👇🏼

• Bring your software engineering — both individual brilliance and collaborative skills
• Bring your good nature — we're building a team that supports each other
• Be vested or interested in the company vision