
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)

Similar jobs
On the Job
● Build and maintain scalable cloud infrastructure on AWS
● Improve CI/CD pipelines, deployment systems, and developer workflows
● Automate infrastructure provisioning using Infrastructure-as-Code (Terraform/Pulumi)
● Manage and optimize Kubernetes clusters and containerized workloads
● Improve observability across systems through monitoring, logging, and alerting
● Drive reliability initiatives including incident response, root cause analysis, and operational
improvements
● Collaborate with engineering teams to improve service scalability, performance, and security
● Implement IAM, secrets management, and infrastructure security best practices
● Optimize infrastructure costs and improve resource efficiency
● Actively leverage AI tools and workflows to improve engineering productivity and automation
Must Haves
● 3–6 years of experience in DevOps, Platform Engineering, or SRE roles
● Strong hands-on experience with AWS infrastructure and services
● Good understanding of Kubernetes, Docker, and container orchestration
● Experience with Infrastructure-as-Code tools like Terraform or Pulumi
● Strong scripting/coding skills in Python, Go, or Bash
● Experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI,
etc.)
● Understanding of networking fundamentals, Linux systems, and cloud security practices
● Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK, Datadog,
etc.
● Strong debugging and problem-solving skills
● Ability to work independently in a fast-moving environment
Good To Haves
● Experience working in fintech or high-scale startup environments
● Exposure to service mesh, zero-trust security, or secrets management systems
● Experience with multi-cluster Kubernetes environments
● Familiarity with incident management, SLOs, and reliability engineering practices
● Experience building internal developer platforms or automation tooling
Role Overview
We are looking for a DevOps Engineer with 2 – 5 years of experience working on AWS-based production systems. This role strictly requires hands-on experience managing production databases (MongoDB / SQL).
👉 Please apply only if you have hands-on experience managing databases in a production environment.
Key Responsibilities:
- Build and maintain AWS infrastructure with focus on availability, security, and cost.
- Deploy and operate Kubernetes (EKS) clusters and containerized applications in production.
- Manage and scale production databases (backup, replication, performance tuning, upgrades).
- Design and maintain CI/CD pipelines for automated deployments.
- Manage MongoDB or SQL in high-scale environments.
- Implement Infrastructure as Code using Terraform.
- Set up monitoring, logging, and alerting.
- Handle production incidents, on-call support, and RCA.
- Automate ops tasks using Bash / Python.
Requirements:
- 2 – 5 years of DevOps experience.
- Hands-on experience managing production databases (MongoDB or SQL).
- Strong AWS & Kubernetes (EKS) experience in production.
- Experience with CI/CD tools (Jenkins / GitLab CI / GitHub Actions / ArgoCD), Terraform, Linux and networking fundamentals.
- Scripting: Bash / Python.
- Immediate joiners preferred.
Experience with MongoDB is preferred, though candidates with solid SQL database experience will also be considered.
About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
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
Job Description
Role Overview:
We're looking for a passionate DevOps engineer with a minimum of 10 years’ experience across all levels, who will work closely with the development teams in Agile setup to continuously improve, support, secure, and operate our production and test environments. We believe in automating our infrastructure as much as possible and pursuing challenging problems in a sustainable and repeatable way.
Our Toolchain
- Ansible, Docker, Kubernetes, Terraform, Gitlab, Jenkins, Fastlane, New Relic, Datadog, SonarQube, IaC
- Apache, Nginx, Linux, Ubuntu, Microservices, Python, Shell, Bash, Helm
- Selenium, Jmeter, Slack, Jira, SAST, OSSEC, OWASP
- Node.JS, PHP, Golang, MySQL, MongoDB, Firebase, Redis, Elastic search,
- VPC, API Gateway, Cognito, DocumentDB, ECS, Lambda, Route53, ACM, S3, EC2, IAM
You'll need:
- Production experience with distributed/scalable systems consisting of multiple microservices and/or high-traffic web applications
- Experience with configuration management systems such as Ansible, Chef, Puppet
- Extensive knowledge of the Linux operating system
- Troubleshooting skills that range from diagnosis to solution for Dev team issues
- Knowledge of how the web works and HTTP fundamentals
- Knowledge of IP networking, DNS, load balancing, and firewalling
Bonus points, if you have:
- Experience in agile development and delivery process.
- Good knowledge of at least one programming language. TecStub uses e.g. Nodes, PHP
- Experience in containerizing applications and deployment to production (Docker, Kubernetes)
- Experience in building modern Terraform infrastructures in cloud environments (AWS, GCP, etc...)
- Experience in analysis of application and database performance monitoring tools (Newrelic, datalog, cluster control, etc..)
- Experience with SQL databases like MySQL, NoSQL, Realtime database stores like Redis, or anything in between.
- Experience being part of the engineering team that built the platform.
- Knowledge of good security practices, including network security, system hardening, secure software, and compliance.
- Familiarity with automated build pipeline / continuous integration using Gitlab and Jenkins and Kubernetes/Docker with this setup, we're deploying to production 2 times per day!
Interview Process:
The entire interview process would take approximately 10 Days.
- HR Screening Call (15 minutes)
- Technical Interview Round Level 1 (30 Minutes)
- Technical Interview Round Level 2 (60 minutes)
- Final Interview Round (60 minutes)
- Offer
About Tecstub:
Tecstub is a renowned global provider of comprehensive digital commerce solutions for some of the world's largest enterprises. With offices in North America and Asia-Pacific, our team offers end-to-end solutions such as strategic Solution Consulting, eCommerce website and application development, and support & maintenance services that are tailored to meet our clients' unique business goals. We are dedicated to delivering excellence by working as an extended partner, providing next-generation solutions that are sustainable, scalable, and future-proof. Our passionate and driven team of professionals has over a decade of experience in the industry and is committed to helping our clients stay ahead of the competition.
We value our employees and strive to create a positive work environment that promotes work-life balance and personal growth. As part of our commitment to our team, we offer a range of benefits to ensure our employees are supported and motivated.
- A 5-day work week that promotes work-life balance and allows our employees to take care of personal responsibilities while excelling in their professional roles.
- 30 annual paid leaves that can be utilized for various personal reasons, such as regional holidays, sick leaves, or any other personal needs. We believe that taking time off is essential for overall well-being and productivity.
- Additional special leaves for birthdays, maternity and paternity events to ensure that our employees can prioritize their personal milestones without any added stress.
- Health insurance coverage of 3 lakhs sum insured for our employees, spouse, and children, to provide peace of mind and security for their health needs.
- Vouchers and gifts for important life events such as birthdays and anniversaries, to celebrate our employees' milestones and show appreciation for their contributions to the company.
- A dedicated learning and growth budget for courses and certifications, to support our employees' career aspirations and encourage professional development.
- Company outings to celebrate our successes together and promote a sense of camaraderie among our team members. We believe that celebrating achievements is an important part of building a positive work culture.
Skills
AWS, Terraform, KUBERNETES, GITHUB, APACHE, BASH, DOCKER, ANSIBLE, GIT, Microservices, UBUNTU, GITLAB, CI/CD, APACHE SERVER, NGINX, NODEJS
Job Description
- Implement IAM policies and configure VPCs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Should act as Tech Lead and guide the junior members of team and mentor them
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on AWS Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on AWS
- Build, Deploy and Manage production workloads including applications on EC2 instance, APIs on Lambda Functions and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Qualifications
- Prefer to have at least 5+ years of IT experience implementing enterprise applications
- Should be AWS Solution Architect Associate Certified
- Must have at least 3+ years of working as a Cloud Engineer focused on AWS services such as EC2, CloudFront, VPC, CloudWatch, RDS, DynamoDB, Systems Manager, Route53, WAF, API Gateway, Elastic beanstalk, ECS, ECR, Lambda, SQS, SNS, S3 bucket, Elastic Search, DocumentDB IAM, etc.
- Must have a strong understanding of EC2 instances, types and deploying applications to the cloud
- Must have a strong understanding of IAM policies, VPC creation, and other security/networking principles
- Must have through experience in doing on prem to AWS cloud workload migration
- Should be comfortable in using AWS and other migrations tools
- Should have experience is working on AWS performance, Cost and Security optimisation
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on AWS using CodeBuild, CodeDeploy, etc. is an advantage
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerisation technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.
- Mandatory: Docker, AWS, Linux, Kubernete or ECS
- Prior experience provisioning and spinning up AWS Clusters / Kubernetes
- Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
- Experience supporting a managed cloud services infrastructure
- Ability to maintain, monitor and optimise production database servers
- Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
- Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
- Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
- In-depth knowledge on Linux Environment.
- Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
- Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
- Experience in handling large production deployments and infrastructure.
- DevOps based infrastructure and application deployments experience.
- Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
- Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
- He/she should be able to validate that the environment meets all security and compliance controls.
- Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
- Proven written and verbal communication skills.
- Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
- Previous NOC experience.
- Client Facing Experience with excellent Customer Communication and Documentation Skills











