Senior Devops Engineer

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

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

Job Purpose and Impact

The DevOps Engineer is a key position to strengthen the security automation capabilities which have been identified as a critical area for growth and specialization within Global IT’s scope. As part of the Cyber Intelligence Operation’s DevOps Team, you will be helping shape our automation efforts by building, maintaining and supporting our security infrastructure.

Key Accountabilities

• Collaborate with internal and external partners to understand and evaluate business requirements.
• Implement modern engineering practices to ensure product quality.
• Provide designs, prototypes and implementations incorporating software engineering best practices, tools and monitoring according to industry standards.
• Write well-designed, testable and efficient code using full-stack engineering capability.
• Integrate software components into a fully functional software system.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Proficiency in at least one configuration management or orchestration tool, such as Ansible.
• Experience with cloud monitoring and logging services.

Qualifications

Minimum Qualifications

• Bachelor's degree in a related field or equivalent exp
• Knowledge of public cloud services & application programming interfaces
• Working exp with continuous integration and delivery practices

Preferred Qualifications

• 3-5 years of relevant exp whether in IT, IS, or software development
• Exp in:
•  Code repositories such as Git
• Scripting languages (Python & PowerShell)
• Using Windows, Linux, Unix, and mobile platforms within cloud services such as AWS
• Cloud infrastructure as a service (IaaS) / platform as a service (PaaS), microservices, Docker containers, Kubernetes, Terraform, Jenkins
• Databases such as Postgres, SQL, Elastic

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

• Experience working on billing and budgets for a GCP project - MUST
• Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
• Experience in implementing the recommendations on GCP
• Architect Certifications on GCP - MUST
• Excellent communication skills (both verbal & written) - MUST
• Excellent documentation skills on processes and steps and instructions- MUST
• At least 2 years of experience on GCP.

Basic Qualifications:

• Bachelor’s/Master’s Degree in Engineering OR Equivalent.
• Extensive scripting or programming experience (Shell Script, Python).
• Extensive experience working with CI/CD (e.g. Jenkins).
• Extensive experience working with GCP, Azure, or Cloud Foundry.
• Experience working with databases (PostgreSQL, elastic search).
• Must have 2 years of minimum experience with GCP certification.

Benefits :

• Competitive salary.
• Work from anywhere.
• Learning and gaining experience rapidly.
• Reimbursement for basic working set up at home.
• Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Ideal joining preferences:
Immediate or 15 days

Key Sills Required for Lead DevOps Engineer

Containerization Technologies

Docker, Kubernetes, OpenShift

Cloud Technologies

AWS/Azure, GCP

CI/CD Pipeline Tools

Jenkins, Azure Devops

Configuration Management Tools

Ansible, Chef,

SCM Tools

Git, GitHub, Bitbucket

Monitoring Tools

New Relic, Nagios, Prometheus

Cloud Infra Automation

Terraform

Scripting Languages

Python, Shell, Groovy

·       Ability to decide the Architecture for the project and tools as per the availability

·       Sound knowledge required in the deployment strategies and able to define the timelines

·       Team handling skills are a must

·       Debugging skills are an advantage

·       Good to have knowledge of Databases like Mysql, Postgresql

It is advantageous to be familiar with Kafka. RabbitMQ

·       Good to have knowledge of Web servers to deploy web applications

·       Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning

·       Advantage to having experience in DevSecOps

Note: Tools mentioned in bold are a must and others are added advantage

Job Summary: We are looking for a senior DevOps engineer to help us build functional systems that improve customer experience. They will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. 

Key Responsibilities

• Utilise various open source technologies & build independent web based tools, microservices and solutions
• Write deployment scripts 
• Configure and manage data sources like MySQL, Mongo, ElasticSearch, etc
• Configure and deploy pipelines for various microservices using CI/CD tools
• Automated server monitoring setup & HA adherence
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Coordination and communication within the team and with customers where integrations are required
• Work with company personnel to define technical problems and requirements, determine solutions, and implement those solutions.
• Work with product team  to design automated pipelines to support SaaS delivery and operations in cloud platforms.
• Review and act on the Service requests, Infrastructure requests and Incidents logged by our Implementation teams and clients. Identifying, analysing, and resolving infrastructure vulnerabilities and application deployment issues
• Modifying and improving existing systems. Suggest process improvements and implement them.
• Collaborate  with Software Engineers to help them deploy and operate different systems, also help to automate and streamline company's operations and processes.
• Developing interface simulators and designing automated module deployments.

Key Skills

• Bachelor's degree in software engineering, computer science, information technology, information systems.
• 3+ years of experience in managing Linux based cloud microservices infrastructure (AWS, GCP or Azure)
• Hands-on experience with databases including MySQL. 
• Experience OS tuning and optimizations for running databases and other scalable microservice solutions 
• Proficient working with git repositories and git workflows
• Able to setup and manage CI/CD pipelines
• Excellent troubleshooting, working knowledge of various tools, open-source technologies, and cloud services
• Awareness of critical concepts in DevOps and Agile principles
• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills
• Extensive experience in DevOps engineering, team management, and collaboration.
• Ability to install and configure software, gather test-stage data, and perform debugging.
• Ability to ensure smooth software deployment by writing script updates and running diagnostics.
• Proficiency in documenting processes and monitoring various metrics.
• Advanced knowledge of best practices related to data encryption and cybersecurity.
• Ability to keep up with software development trends and innovation.
• Exceptional interpersonal and communication skills
• 
  

Experience:

• Must have  4+ years of experience as Devops Engineer in a SaaS product based company

About SuperProcure

SuperProcure is a leading logistics and supply chain management solutions provider that aims to bring efficiency, transparency, and process optimization across the globe with the help of technology and data. SuperProcure started our journey in 2017 to help companies digitize their logistics operations. We created industry-recognized products which are now being used by 150+ companies like Tata Consumer Products, ITC, Flipkart, Tata Chemicals, PepsiCo, L&T Constructions, GMM Pfaudler, Havells, others. It helps achieve real-time visibility, 100% audit adherence & transparency, 300% improvement in team productivity, up to 9% savings in freight costs and many more benefits. SuperProcure is determined to make the lives of the logistic teams easier, add value, and help in establishing a fair and beneficial process for the company. 

Super Procure is backed by IndiaMart and incubated under IIMCIP & Lumis, Supply Chain Labs. SuperProcure was also recognized as Top 50 Emerging Start-ups of India at the NASSCOM Product Conclave organized in Bengaluru and was a part of the recently launched National Logistics policy by the prime minister of India. More details about our journey can be found here

Life @ SuperProcure 

SuperProcure operates in an extremely innovative, entrepreneurial, analytical, and problem-solving work culture. Every team member is fully motivated and committed to the company's vision and believes in getting things done. In our organization, every employee is the CEO of what he/she does; from conception to execution, the work needs to be thought through.

Our people are the core of our organization, and we believe in empowering them and making them a part of the daily decision-making, which impacts the business and shapes the company's overall strategy. They are constantly provided with resources, 

mentorship and support from our highly energetic teams and leadership. SuperProcure is extremely inclusive and believes in collective success.

Looking for a bland, routine 9-6 job? PLEASE DO NOT APPLY. Looking for a job where you wake up and add significant value to a $180 Billion logistics industry everyday? DO APPLY.

OTHER DETAILS

• Engagement : Full Time
• No. of openings : 1
• CTC : 12 - 20lpa