Devops Tech Lead

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

Job Title: DevOps Engineer

Job Description: We are seeking an experienced DevOps Engineer to support our Laravel, JavaScript (Node.js, React, Next.js), and Python development teams. The role involves building and maintaining scalable CI/CD pipelines, automating deployments, and managing cloud infrastructure to ensure seamless delivery across multiple environments.

Responsibilities:

Design, implement, and maintain CI/CD pipelines for Laravel, Node.js, and Python projects.

Automate application deployment and environment provisioning using AWS and containerization tools.

Manage and optimize AWS infrastructure (EC2, ECS, RDS, S3, CloudWatch, IAM, Lambda).

Implement Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Manage configuration automation using Ansible.

Build and manage containerized environments using Docker (Kubernetes is a plus).

Monitor infrastructure and application performance using CloudWatch, Prometheus, or Grafana.

Ensure system security, data integrity, and high availability across environments.

Collaborate with development teams to streamline builds, testing, and deployments.

Troubleshoot and resolve infrastructure and deployment-related issues.

Required Skills:

AWS (EC2, ECS, RDS, S3, IAM, Lambda)

CI/CD Tools: Jenkins, GitLab CI/CD, AWS CodePipeline, CodeBuild, CodeDeploy

Infrastructure as Code: Terraform or AWS CloudFormation Configuration Management: Ansible

Containers: Docker (Kubernetes preferred)

Scripting: Bash, Python

Version Control: Git, GitHub, GitLab

Web Servers: Apache, Nginx (preferred)

Databases: MySQL, MongoDB (preferred)

Qualifications:

3+ years of experience as a DevOps Engineer in a production environment.

Proven experience supporting Laravel, Node.js, and Python-based applications.

Strong understanding of CI/CD, containerization, and automation practices.

Experience with infrastructure monitoring, logging, and performance optimization.

Familiarity with agile and collaborative development processes.

Job Title: Lead DevOps Engineer

Experience Required: 4 to 5 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

•     Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

Job Brief:

We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.

Job Location:

Pune.

Job Description:

• Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
• Experience interacting with customer.
• Excellent communication.
• Hands-on in creating and managing Jenkins job, Groovy scripting.
• Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
• Experience in Maven.
• Experience in scripting languages like Bash, Powershell, Python.
• Experience in automation tools like Terraform, Ansible, Chef, Puppet.
• Excellent troubleshooting skills.
• Experience in Docker and Kuberneties with creating docker files.
• Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.

Job Requirements 

Required Experience 

5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment 

management. 

Strong expertise in Salesforce deployment processes, including CI/CD pipelines. 

Significant hands-on experience with at least two of the following tools: Gearset, Copado, 

Flosum. 

Solid understanding of Salesforce architecture, metadata, and development lifecycle. 

Familiarity with version control systems (e.g., Git) and agile methodologies. 

Key Responsibilities 

Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, 

Copado, or Flosum. 

Automate and optimize deployment processes to ensure efficient, reliable, and repeatable 

releases across Salesforce environments. 

Collaborate with development, QA, and operations teams to gather requirements and ensure 

alignment of deployment strategies. 

Monitor, troubleshoot, and resolve deployment and release issues. 

Maintain documentation for deployment processes and provide training on best practices. 

Stay updated on the latest Salesforce DevOps tools, features, and best practices. 

Technical Skills 

Skill Area Requirements 

Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments 

CI/CDBuilding and maintaining pipelines, automation, and release management 

Version ControlProficiency with Git and related workflows 

Salesforce PlatformUnderstanding of metadata, SFDX, and environment management 

Scripting 

Familiarity with scripting (e.g., Shell, Python) for automation (preferred) 

Communication 

Strong written and verbal communication skills 

Preferred Qualifications 

Bachelor’s degree in Computer Science, Information Technology, or related field. 

Certifications 

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus. 

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial. 

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

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

Senior Software Engineer I - DevOps Engineer

Exceptional software engineering is challenging. Amplifying it to ensure that multiple teams can concurrently create and manage a vast, intricate product escalates the complexity. As a Senior Software Engineer within the Release Engineering team at Sumo Logic, your task will be to develop and sustain automated tooling for the release processes of all our services. You will contribute significantly to establishing automated delivery pipelines, empowering autonomous teams to create independently deployable services. Your role is integral to our overarching strategy of enhancing software delivery and progressing Sumo Logic’s internal Platform-as-a-Service.

What you will do:

• Own the Delivery pipeline and release automation framework for all Sumo services

• Educate and collaborate with teams during both design and development phases to ensure best practices.

• Mentor a team of Engineers (Junior to Senior) and improve software development processes.

• Evaluate, test, and provide technology and design recommendations to executives.

• Write detailed design documents and documentation on system design and implementation.

• Ensuring the engineering teams are set up to deliver quality software quickly and reliably.

• Enhance and maintain infrastructure and tooling for development, testing and debugging

What you already have

• B.S. or M.S. Computer Sciences or related discipline

• Ability to influence: Understand people’s values and motivations and influence them towards making good architectural choices.

• Collaborative working style: You can work with other engineers to come up with good decisions.

• Bias towards action: You need to make things happen. It is essential you don’t become an inhibitor of progress, but an enabler.

• Flexibility: You are willing to learn and change. Admit past approaches might not be the right ones now.

Technical skills:

• 4+ years of experience in the design, development, and use of release automation tooling, DevOps, CI/CD, etc.
• 2+ years of experience in software development in Java/Scala/Golang or similar
• 3+ years of experience on software delivery technologies like jenkins including experience writing and developing CI/CD pipelines and knowledge of build tools like make/gradle/npm etc.
• Experience with cloud technologies, such as AWS/Azure/GCP
• Experience with Infrastructure-as-Code and tools such as Terraform
• Experience with scripting languages such as Groovy, Python, Bash etc.
• Knowledge of monitoring tools such as Prometheus/Grafana or similar tools
• Understanding of GitOps and ArgoCD concepts/workflows
• Understanding of security and compliance aspects of DevSecOps

About Us

Sumo Logic, Inc. empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its Sumo Logic SaaS Analytics Log Platform, which helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful real-time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

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• Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
• Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
• Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
• Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
• Design and implement DevOps processes for new projects following the department's objectives of automation.
• Collaborate on projects with development teams to provide recommendations, support and guidance.
• Work towards full automation, monitoring, virtualization and containerization.
• Create and maintain tools for deployment, monitoring and operations.
• Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
• Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
• Maintain 24/7 availability for responsible systems and be open to on-call rotation.