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

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).

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).

Key Responsibilities:

• Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
• Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
• Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
• Manage and monitor production deployments to ensure high availability and performance
• Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
• Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
• Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
• Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
• Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
• Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
• Collaborate with development and QA teams to align infrastructure with application needs
• Troubleshoot infrastructure and deployment issues efficiently and proactively
• Ensure cloud cost optimization and usage tracking

Required Skills & Experience:

• 3-4 years of hands-on experience in a DevOps
• Strong expertise with both AWS and Azure cloud platforms
• Proficient in Git, branching strategies, and pull request workflows
• Deep understanding of CI/CD concepts and experience with pipeline tools
• Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
• Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
• Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
• Experience with Infrastructure as Code tools (Terraform preferred)
• Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
• Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
• Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
• Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
• Working knowledge of monitoring and logging tools
• Strong troubleshooting and problem-solving skills

Good to Have (Bonus Points):

• Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
• Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
• Experience with compliance/security best practices (SOC2, ISO, etc.)
• Familiarity with Service Mesh (Istio, Linkerd) and API gateways
• Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)

General Description:

Owns all technical aspects of software development for assigned applications.

Participates in the design and development of systems & application programs.

Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.

Required Skills:

In depth experience configuring and administering EKS clusters in AWS.

In depth experience in configuring **DataDog** in AWS environments especially in **EKS**

In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**

In depth knowledge of observability concepts and strong troubleshooting experience.

Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.

Experience in **Terraform** and Infrastructure as code.

Experience in **Helm**

Strong scripting skills in Shell and/or python.

Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.

Must have a good understanding of cloud concepts (Storage /compute/network).

Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.

Experience with Git and GitHub.

Proficient in developing and maintaining technical documentation, ADRs, and runbooks.

Responsibilities

 Provisioning and de-provisioning AWS accounts for internal customers

 Work alongside systems and development teams to support the transition and operation of client websites/applications in and out of AWS.

 Deploying, managing, and operating AWS environments

 Identifying appropriate use of AWS operational best practices

 Estimating AWS costs and identifying operational cost control mechanisms

 Keep technical documentation up to date

 Proactively keep up to date on AWS services and developments

 Create (where appropriate) automation, in order to streamline provisioning and de-provisioning processes

 Lead certain data/service migration projects

Job Requirements

 Experience provisioning, operating, and maintaining systems running on AWS

 Experience with Azure/AWS.

 Capabilities to provide AWS operations and deployment guidance and best practices throughout the lifecycle of a project

 Experience with application/data migration to/from AWS

 Experience with NGINX and the HTTP protocol.

 Experience with configuration and management software such as GIT  Strong analytical and problem-solving skills

 Deployment experience using common AWS technologies like VPC, and regionally distributed EC2 instances, Docker, and more.

 Ability to work in a collaborative environment

 Detail-oriented, strong work ethic and high standard of excellence

 A fast learner, the Achiever, sets high personal goals

 Must be able to work on multiple projects and consistently meet project deadlines

• 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code. 
• Advanced Linux system administration abilities. 
• Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus. 
• Experience with managing production environments on AWS or GCP. 
• Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus. 
• Experience on any configuration management tools like Ansible, Puppet or Chef is a must. 
• Experience in any one of the scripting languages: Shell, Python, etc. 
• Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must. 
• Solid understanding of SSL and DNS. 
• Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc. 
• Basic understanding of networking concepts.
• Always adhere to security best practices.
• Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.  
• Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage. 

What you get to do 

• Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments 
• Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues 
• Continuously improve Conviva SaaS services and infrastructure for availability, performance and security 
• Implement security best practices – primarily patching of operating systems and applications 
• Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
• Participate in 12x7 on-call rotations 
• Work with third party service/support providers for installations, support related calls, problem resolutions etc. 

ApnaComplex is one of India’s largest and fastest-growing PropTech disruptors within the Society & Apartment Management business.  The SaaS based B2C platform is headquartered out of India’s tech start-up hub, Bangalore, with branches in 6 other cities. It currently empowers 3,600 Societies, managing over 6 Lakh Households in over 80 Indian cities to effortlessly manage all aspects of running large complexes seamlessly.

ApnaComplex is part of ANAROCK Group. ANAROCK Group is India's leading specialized real estate services company having diversified interests across the real estate value chain.

If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, ApnaComplex is the place for you.

Must have-

• Knowledge of Docker
• Knowledge of Terraforms
• Knowledge of AWS

Good to have -

• Kubernetes
• Scripting language: PHP/Go Lang and Python
• Webserver knowledge
• Logging and monitoring experience
• Test, build, design, deployment, and ability to maintain continuous integration and continuous delivery process using tools like Jenkins, maven Git, etc. 
• Build and maintain highly available production systems.
• Must know how to choose the best tools and technologies which best fits the business needs. 
• Develop software to integrate with internal back-end systems.
• Investigate and resolve technical issues.
• Problem-solving attitude.
• Ability to automate test and deploy the code and monitor. 
• Work in close coordination with the development and operations team such that the application is in line with performance according to the customer's expectation.
• Lead and guide the team in identifying and implementing new technologies.

Skills that will help you build a success story with us

• An ability to quickly understand and solve new problems
• Strong interpersonal skills
• Excellent data interpretation
• Context-switching
• Intrinsically motivated
• A tactical and strategic track record for delivering research-driven results

Quick Glances:

• https://www.apnacomplex.com/why-apnacomplex">What to look for at ApnaComplex
• https://www.linkedin.com/company/1070467/admin/">Who are we A glimpse of ApnaComplex, know us better
• https://www.apnacomplex.com/media-buzz">ApnaComplex - Media – Visit our media page  

ANAROCK Ethos - Values Over Value:

Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.

We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity / expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them.

Engineering Leader, Cloud Infrastructure.

Bengaluru, Karnataka, India

Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!

Your Impact:

We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,

networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for

you.

You Will:

Lead, inspire, and influence to make sure your team is successful

Partner with the recruiting team to attract and retain high-quality and diverse talent

Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration

Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.

Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.

You'll need:

BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams

Strong fundamentals in distributed systems design and development

Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management

Experience running production services in Public Clouds such as AWS, GCP, and Azure

Experience with running large stateful data systems in the Cloud

Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)

A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them

Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.

• Proven experience in handling large infrastructure and distributed systems like Kafka, Yarn, Elastic Search, etc..
• Familiarity with Python-related technologies and frameworks like Django or Pyramid.
• Experience with Unix/Linux operating systems internals and administration (e.g. filesystems, inodes, system calls, etc) or networking (e.g. TCP/IP, routing, network topologies, and hardware, SDN, etc)
• Familiarity with at least one of the cloud computing infrastructures - GCP / Azure / AWS
• Familiarity with task queue frameworks like Celery or Pika is a plus.
• Source code management and Implementation of security best practices.
• Experienced in building monitoring/metrics & alerting tool (APM tool), a custom dashboard for each Application stack against the supported environment
• Good understanding & implementation experience using 12-factor App principles
• Awareness of Cloud Security concepts
• Awareness of Information Security concepts and Best Practices