11+ HAProxy Jobs in Bangalore (Bengaluru) | HAProxy Job openings in Bangalore (Bengaluru)

KaiOS is a mobile operating system for smart feature phones that stormed the scene to become the 3rd largest mobile OS globally (2nd in India ahead of iOS). We are on 100M+ devices in 100+ countries. We recently closed a Series B round with Cathay Innovation, Google and TCL.

What we are looking for:

• BE/B-Tech in Computer Science or related discipline
• 3+ years of overall commercial DevOps / infrastructure experience, cross-functional delivery-focused agile environment; previous experience as a software engineer and ability to see into and reason about the internals of an application a major plus
• Extensive experience designing, delivering and operating highly scalable resilient mission-critical backend services serving millions of users; experience operating and evolving multi-regional services a major plus
• Strong engineering skills; proficiency in programming languages
• Experience in Infrastructure-as-code tools, for example Terraform, CloudFormation
• Proven ability to execute on a technical and product roadmap
• Extensive experience with iterative development and delivery
• Extensive experience with observability for operating robust distributed systems – instrumentation, log shipping, alerting, etc.
• Extensive experience with test and deployment automation, CI / CD
• Extensive experience with infrastructure-as-code and tooling, such as Terraform
• Extensive experience with AWS, including services such as ECS, Lambda, DynamoDB, Kinesis, EMR, Redshift, Elasticsearch, RDS, CloudWatch, CloudFront, IAM, etc.
• Strong knowledge of backend and web technology; infrastructure experience with at-scale modern data technology a major plus
• Deep expertise in server-side security concerns and best practices
• Fluency with at least one programming language. We mainly use Golang, Python and JavaScript so far
• Outstanding analytical thinking, problem solving skills and attention to detail
• Excellent verbal and written communication skills

Requirements

Designation: DevOps Engineer

Location: Bangalore OR Hongkong

Experience: 4 to 7 Years

Notice period: 30 days or Less

DevOps Engineer

Location: Bangalore office

About Peliqan

Peliqan is an all-in-one data platform combining ELT/ETL pipelines, a built-in data warehouse, SQL and low-code Python transformations, reverse ETL, and AI-powered data activation. We connect 250+ data sources and serve enterprise teams, consultants, and SaaS companies. SOC 2 Type II certified and GDPR compliant.

The Role

Own and evolve the infrastructure powering Peliqan's multi-tenant data platform. You'll manage Kubernetes clusters, cloud resources, CI/CD pipelines, and monitoring — keeping everything reliable, secure, and scalable. You'll be the go-to person for infrastructure support across the engineering team.

Responsibilities

Manage and optimise Kubernetes clusters running production workloads — data pipelines, APIs, and customer-facing services.

Maintain Docker-based local development environments for the engineering team.

Administer cloud infrastructure on AWS and Google Cloud (compute, storage, networking, managed databases).

Build and maintain CI/CD pipelines for automated testing, building, and deploying across staging and production.

Set up and manage monitoring, alerting, and logging for platform health and incident response.

Manage release processes — deployments, rollbacks, and release strategies.

• Maintain infrastructure-as-code using Helm charts.
• Support security hardening and compliance efforts (SOC 2, GDPR).

Requirements

3+ years in a DevOps, SRE, or Infrastructure Engineering role.

Strong hands-on experience with Kubernetes and Helm charts.

Deep familiarity with Docker for containerisation and local dev workflows.

Production experience with AWS and/or Google Cloud.

• Proficiency in Python and Bash scripting for automation and tooling.
• Solid grasp of DevOps principles: infrastructure-as-code, GitOps, observability, continuous delivery.
• Experience with CI/CD platforms (GitHub Actions, GitLab CI, or similar).

Nice to Have

• Experience supporting multi-tenant SaaS platforms or data infrastructure at scale.
• Knowledge of PostgreSQL, MySQL, or cloud-managed database administration.
• Exposure to security compliance frameworks (SOC 2, ISO 27001, GDPR).

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

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry.

Key Responsibilities

CI/CD and Infrastructure Automation

• Design, implement, and maintain CI/CD pipelines to support fast and reliable releases
• Automate deployments using tools such as Terraform, Helm, and Kubernetes
• Improve build and release processes to support high-performance and low-latency trading applications
• Work efficiently with Linux/Unix environments

Cloud and On-Prem Infrastructure Management

• Deploy, manage, and optimize infrastructure on AWS, GCP, and on-premises environments
• Ensure system reliability, scalability, and high availability
• Implement Infrastructure as Code (IaC) to standardize and streamline deployments

Performance Monitoring and Optimization

• Monitor system performance and latency using Prometheus, Grafana, and ELK stack
• Implement proactive alerting and fault detection to ensure system stability
• Troubleshoot and optimize system components for maximum efficiency

Security and Compliance

• Apply DevSecOps principles to ensure secure deployment and access management
• Maintain compliance with financial industry regulations such as SEBI
• Conduct vulnerability assessments and maintain logging and audit controls

Required Skills and Qualifications

• 2+ years of experience as a DevOps Engineer in a software or trading environment
• Strong expertise in CI/CD tools (Jenkins, GitLab CI/CD, ArgoCD)
• Proficiency in cloud platforms such as AWS and GCP
• Hands-on experience with Docker and Kubernetes
• Experience with Terraform or CloudFormation for IaC
• Strong Linux administration and networking fundamentals (TCP/IP, DNS, firewalls)
• Familiarity with Prometheus, Grafana, and ELK stack
• Proficiency in scripting using Python, Bash, or Go
• Solid understanding of security best practices including IAM, encryption, and network policies

Good to Have (Optional)

• Experience with low-latency trading infrastructure or real-time market data systems
• Knowledge of high-frequency trading environments
• Exposure to FIX protocol, FPGA, or network optimization techniques
• Familiarity with Redis or Nginx for real-time data handling

Why Join Us?

• Work with a team that expects and delivers excellence.
• A culture where risk-taking is rewarded, and complacency is not.
• Limitless opportunities for growth—if you can handle the pace.
• A place where learning is currency, and outperformance is the only metric that matters.
• The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

Role – Sr. Devops Engineer

Location - Bangalore

Experience 5+ Years

Responsibilities

• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Incidence management and root cause analysis.
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs

Requirements

• 5-6 years of relevant experience in a Devops role.
• Good knowledge in cloud technologies such as AWS/Google Cloud.
• Familiarity with container orchestration services, especially Kubernetes experience (Mandatory) and good knowledge in Docker.
• Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab, or Jenkins.
• Good knowledge in complex Debugging mechanisms (especially JVM) and Java programming experience (Mandatory)
• Significant experience with Windows and Linux operating system environments
• A team player with excellent communication skills.

Roles and Responsibilities:

• Gather and analyse cloud infrastructure requirements

• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby

preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and

discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,

CloudFormation), and automated imaging tools (Packer)

• Support existing infrastructure, analyse problem areas and come up with solutions

• An eye for monitoring – the candidate should be able to look at complex infrastructure and be

able to figure out what to monitor and how.

• Work along with the Engineering team to help out with Infrastructure / Network automation needs.

• Deploy infrastructure as code and automate as much as possible

• Manage a team of DevOps

Desired Profile:

• Understanding of provisioning of Bare Metal and Virtual Machines

• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.

• Experience in scripting languages like Ruby/ Python/ Shell Scripting

• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts

• Strong Linux/Unix administration skills.

• Self-starter who can implement with minimal guidance

• Hands-on experience setting up CICD from SCRATCH in Jenkins

• Experience with Managing K8s infrastructure

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

Our Client is a B2B2C tech Web3 startup founded by founders - IITB Graduates who are experienced in retail, ecommerce and fintech.
Vision: Our Client aims to change the way that customers, creators, and retail investors interact and transact at brands of all shapes and sizes. Essentially, becoming the Web3 version of brands driven social ecommerce & investment platform.

• Azure Devops - Working experience in Azure yaml pipelines. (Note – Some say they worked in yaml but it’s for Jenkins and not Azure devops)
• Azure – Infrastructure automation using Terraform/ARM templates. (Note – Some say that they worked in terraform but it’s for AWS and not Azure). Please confirm Terraform for Azure infrastructure automation.
• Powershell scripting to automate and deploy .Net applications.