50+ Kubernetes Jobs in India

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level

​

This role is ideal for engineers with 3-5 years of experience and a strong background in building secure, scalable platforms.

We are looking for hands-on DevOps and Backend Engineers with real-world experience in application/feature development, system design, testing practices such as TDD, full-stack development, handling production incidents, distributed systems, and modern infrastructure challenges. 

What You’ll Do as a Software Craftsperson

• Design and document real-world DevOps and backend scenarios based on production incidents such as outages, scaling challenges, and secure deployments
• Translate real engineering experiences into benchmark tasks that contribute to training next-generation AI systems
• Contribute to building secure, scalable, Kubernetes-native architectures across modern infrastructure environments
• Work across critical engineering domains including CI/CD pipelines, observability, identity & access management, infrastructure-as-code, and backend services
• Collaborate with internal teams to design and simulate realistic engineering workflows and system behaviors
• Apply practical engineering judgment to model distributed systems challenges and improve system resilience and reliability

Requirements

What You’ll Bring

3-5 years of experience in DevOps and Backend Engineering with a strong foundation in building secure, scalable systems.

Strong hands-on expertise in DevOps and backend technologies (Node.js/Java/Go/Python) including:

• Kubernetes, Terraform, and CI/CD pipelines
• Tools such as k9s, k3s (GitLab CI preferred)
• Backend technologies such as Go, Python, or Java
• Experience with Docker, gRPC, and Kubernetes-native services

Demonstrated experience working with secure, offline or air-gapped deployments (highly preferred)

Familiarity with distributed systems and backend architecture, with exposure to ML or distributed pipelines being a plus.

Hands-on experience across multiple core functional areas, with exposure to at least five of the following:

• Identity & Access Management
• Observability (Prometheus + Grafana)
• CI/CD Pipelines
• Keycloak
• GitLab CI
• Terraform OSS
• Kubernetes ecosystem tools

Strong problem-solving ability with real-world experience in handling production systems, incidents, and infrastructure challenges

Ability to work across multiple layers of the stack, from infrastructure to backend services, while ensuring scalability, reliability, and security

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.

Our environment is built for crafters: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.

​

Perks

• Dedicated learning & development budget
• Sponsorship for conference talks
• Comprehensive medical & term insurance
• Employee-friendly leave policies
• Home Office fund
• Medical Insurance

We are looking for a highly skilled Linux-focused DevOps Engineer with strong troubleshooting capabilities. The ideal candidate must have hands-on experience in Linux systems, OpenStack, Kubernetes, and Ansible automation. This role requires deep debugging skills and structured root cause analysis.

Key Responsibilities

• Troubleshoot complex infrastructure and application issues through deep log analysis.

• Manage and optimize Linux-based production environments.

• Deploy and manage workloads in Kubernetes clusters.

• Provision and manage infrastructure using OpenStack.

• Automate configuration management using Ansible. • Diagnose networking issues including DNS, routing, and firewall configurations.

• Develop automation scripts using Bash or Python.

• Participate in production incident handling and RCA documentation. Required Skills & Experience

• Strong Linux internals knowledge (systemd, processes, memory, I/O). • Experience analyzing system logs (/var/log, journalctl, dmesg).

• Hands-on Kubernetes production troubleshooting.

• OpenStack VM provisioning and networking knowledge.

• Ansible playbook and role development experience.

• Strong scripting skills (Bash or Python).

Good to Have

• Terraform exposure. • Monitoring tools such as Prometheus, Grafana, ELK. • Experience in multi-tenant environments. • On-call production support experience.

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

Role & Responsibilities

• Develop and deliver automation software to build and improve platform functionality
• Ensure reliability, availability, and manageability of applications and cloud platforms
• Champion adoption of Infrastructure as Code (IaC) practices
• Design and build self-service, self-healing, monitoring, and alerting platforms
• Automate development and testing workflows through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers)
• Build and manage container hosting platforms using Kubernetes

Requirements

• Strong experience deploying and maintaining GCP cloud infrastructure
• Well-versed in service-oriented and cloud-based architecture design patterns
• Knowledge of cloud services including compute, storage, networking, messaging, and automation tools (e.g., CloudFormation/Terraform equivalents)
• Experience with relational and NoSQL databases (Postgres, Cassandra)
• Hands-on experience with automation/configuration tools (Puppet, Chef, Ansible, Terraform)

Additional Skills

• Strong Linux system administration and troubleshooting skills
• Programming/scripting exposure (Bash, Python, Core Java, or Scala)
• CI/CD pipeline experience (Jenkins, Git, Maven, etc.)
• Experience integrating solutions in multi-region environments
• Familiarity with Agile/Scrum/DevOps methodologies

Role: Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE: 6.5+ years

Skills: C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure

Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure

Functions, Azure Blob storage, Caching, NoSQL Databases

About the role:

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software

that solves real problems. Strives for security, performance, simplicity, usability, and maintainability.

Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution

● Works within established agile methods, promoting an atmosphere of continuous improvement.

● Continuously learns new technologies and patterns and practices.

● Documents knowledge for the benefit of the team.

● Reports to the team on obstacles and roadblocks.

● Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team

meetings.

● Promote patterns and best practices on the team.

● Mentors and guides the less experienced software engineers.

2. Planning and Design

● Works with the product team and stakeholders to refine and document requirements.

● Estimates effort for planning purposes.

● Designs and documents enterprise-level software architecture, consulting with Enterprise

Architecture when appropriate.

3. Development

● Writes code to develop software that meets requirements and specifications.

● Follows established software development life cycle (SLDC).

● Writes code with readability and future maintenance in mind.

● Follows established source control standards and best practices.

● Adheres to established secure coding practices.

● Reviews code for other developers.

● Leads team-based development efforts.

4. Quality Assurance

● Validates QA findings and fixes defects.

● Develops integration and testing points in the software that allow for QA testing.

● Assists QA in running performance and load tests.

5. Release

● Assists with release planning and releases.

6. Support

● Assists the support team as needed, including root cause analysis.

● Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

Solid Understanding of The Following:

● Microservices Architecture:

Confidential. c Foxsense Innovations. 1

● Microservices design principles (bounded contexts, loose coupling)

● API-first design and contract management

● Event-driven design principles

● Asynchronous messaging patterns

● Eventual consistency concepts

● Idempotency and message replay handling

● ASP.NET Core Web API development

● Web Apps

● Azure Kubernetes Service (AKS)

● Azure Blob Storage usage and lifecycle management

● API Gateway / Azure API Management concepts

● Entra (Authentication)

● Azure Service Bus

● Azure Functions

● Caching

● NoSQL DatabasesProcesses & Standards: Git, GitFlow, OO Programming, Kanban, Secure

Coding, & Agile Methodologies

Bonus Skills:

● Excellent written and verbal communication

● Excellent documentation

● Continuous learning

● Collaboration across team and functional boundaries

● Troubleshooting and creative problem solving

● Design simple architecture that supports complex applications and APIs

● Architect extensible databases

● Author complex component-based client applications and restful APIs

● Perform advanced CRUD operations against multiple data sources

● Manipulate enterprise level data structures

● Mentor less experienced team members

● Take ownership of team processes and legacy applications

● Perform business analysis tasks, such as requirements gathering and wireframing

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in AWS cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Location: Bangalore preferred / Hybrid as applicable

Experience: 3+ years

Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline

Salary: Above market standards, flexible for the right candidate

Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations

About FrontM

FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.

The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.

Role Summary

As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.

This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.

Key Responsibilities

Cloud Infrastructure & DevOps Architecture (≈45%)

· Own, maintain and improve AWS cloud infrastructure for FrontM platforms

· Create and maintain Terraform scripts for infrastructure deployment and management

· Manage Kubernetes workloads deployed within AWS EKS

· Support multi-zone AWS infrastructure design for availability, resilience and scale

· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap

CI/CD, Operations & Platform Reliability (≈35%)

· Build, maintain and improve CI/CD pipelines for backend and platform services

· Oversee technical operations with hands-on administration, monitoring and release support

· Ensure continuous server uptime, stability, performance and maintainability

· Debug, respond to and restore system outages in production and staging environments

· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io

· Support backend stability, scale and performance across Node.js, Java and related services

Security, Networking & Production Support (≈20%)

· Maintain AWS security configurations, access controls and monitoring practices

· Support complex networking requirements across multi-domain SaaS implementations

· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users

· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements

· Document operational procedures, incident findings and technical support steps clearly

Required Technical Skills

Cloud Infrastructure & AWS

· Strong hands-on experience with AWS infrastructure and cloud operations

· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda

· Experience with AWS security setup, monitoring and multi-zone infrastructure

· Ability to manage infrastructure using Terraform

Kubernetes, CI/CD & Observability

· Strong experience with Kubernetes, preferably AWS EKS

· Extensive CI/CD and DevOps experience

· Experience with infrastructure observability and application monitoring tools

· Ability to diagnose production bottlenecks, server failures and performance issues

Backend, Networking & SaaS Operations

· Experience supporting Node.js, Java and backend system procedures for stability and scale

· Good understanding of APIs, integrations and backend service dependencies

· Experience with complex networking and multi-domain SaaS implementations

· Ability to troubleshoot technical issues with non-technical end users

Nice to Have

· Experience with MongoDB clusters in MongoDB Atlas

Personal Attributes

· Strong ownership mindset for uptime, reliability and production stability

· Practical problem-solving approach with the ability to act quickly during incidents

· Clear written and spoken communication in English

· Ability to work independently and coordinate with senior management when required

· Comfortable working in fast-moving engineering teams

· Attention to detail in security, monitoring, documentation and operational processes

Why join FrontM?

Long-Term Career Growth

Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.

Engineering Challenges That Matter

Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.

Broad Technical Ownership

Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.

Apply now

Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Position: Microsoft .NET Full Stack Developer

Experience: 4–6 Years

Open Positions: 10

Location: PAN India (Final Round – Face-to-Face Interview)

Budget: Up to 15 LPA

Notice Period: Immediate joiners preferred

Key Responsibilities:

· Work on highly distributed and scalable system architecture

· Design, develop, test, and maintain high-quality software solutions

· Ensure performance, security, and maintainability of applications

· Collaborate with cross-functional teams and stakeholders

· Perform system testing and resolve technical issues

Required Skills:

· Strong experience in ASP.NET, C#, .NET Core, MVC

· Hands-on experience with SQL Server / PostgreSQL

· Experience in Angular / React (Frontend technologies)

· Knowledge of microservices architecture & RESTful APIs

· Familiarity with CQRS pattern

· Exposure to AWS / Docker / Kubernetes

· Experience with CI/CD pipelines (Azure DevOps, Jenkins)

· Knowledge of Node.js is an added advantage

· Understanding of Agile methodology

· Good exposure to cybersecurity and compliance

Technology Stack:

· Microsoft .NET technologies (primary)

· Cloud platforms: AWS (SaaS/PaaS/IaaS)

· Databases: MSSQL, MongoDB, PostgreSQL

· Caching: Redis, Memcached

· Messaging queues: RabbitMQ, Kafka, SQS

Developing Solutions for Microsoft Azure - Skill, Solution Architecture

Bangalore-Hybrid

Fulltime

we will be needing highly skilled Kubernetes Expert with deep experience in Azure Kubernetes Service (AKS) to lead the deployment and operations of Confluent Platform in a production-grade environment. Should be able to implement, and optimize a scalable, secure, and resilient streaming platform using Confluent for Kubernetes (CFK) and modern Kafka architecture (KRaft mode).

Required Skills & Experience

Expertise on Azure platform.

Knowledge on Kafka and streaming capabilities.

Hands-on experience with Kubernetes with AKS in production environments.

Strong knowledge of Confluent Platform and Kafka internals, including KRaft mode.

Expertise in AKS networking (Azure CNI, ingress/WAF) and storage (Azure Disk/Files, CSI drivers).

Proficiency in Helm, GitOps workflows, and CI/CD pipelines.

Experience with TLS, RBAC, Managed Identity, and secrets management.

Familiarity with observability tools ( Grafana, Confluent Control Center).

Strong troubleshooting and performance tuning skills for distributed systems.

Language : C# / Python , JavaScript, java [ Any one should be fine]

Data Serialization Format - JSON, YAML

Key Responsibilities

Implement AKS clusters optimized for stateful workloads like Kafka.

Deploy and manage Confluent Platform components (Kafka brokers, KRaft controllers, Connect, Schema Registry, ksqlDB, Control Center) using CFK.

Configure networking, storage, and security for AKS clusters following best practices.

Implement TLS, RBAC, and secrets management (Azure Key Vault/Vault).

Monitor and optimize performance, scalability, and cost efficiency.

Automate deployments using Helm and GitOps.

Ensure high availability, disaster recovery, and compliance with security standards.

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Core Responsibilities:

• Design, develop, and maintain backend services using Python or Golang.
• Write clean, efficient, and well-documented code following best practices.
• Build and consume RESTful APIs and microservices.
• Collaborate with QA, DevOps, and product teams for smooth feature delivery.
• Participate in peer code reviews and technical discussions.
• Debug and fix issues, ensuring system stability and performance.
• Continuously learn and apply new technologies and tools in backend development.

Experience and Expertise:

• 0–2 years of software development experience (internships or projects acceptable).
• Proficiency in at least one backend programming language (Python or Golang).
• Strong understanding of object-oriented programming and software fundamentals.
• Knowledge of data structures, algorithms, and database concepts.
• Familiarity with Linux-based development environments.
• Exposure to Git and version control workflows.

Skills:

• Strong analytical and problem-solving ability.
• Willingness to learn, adapt, and take ownership.
• Effective communication and teamwork skills.
• Curiosity for emerging technologies, including AI-driven development, backend technologies, distributed systems, and modern engineering practices.

Role Overview:

As a Backend Developer at LearnTube.ai, you will ship the backbone that powers 2.3 million learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

Skip the wait and get noticed faster by completing our AI-powered screening. Click this link to start your quick interview. It only takes a few minutes and could be your shortcut to landing the job! -https://bit.ly/LT_Python

What You'll Do:

At LearnTube, we’re pushing the boundaries of Generative AI to revolutionize how the world learns. As a Backend Engineer, your roles and responsibilities will include:

• Ship Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves:

• 3+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Go / Rust for high-perf services
• Observability: Prometheus, Grafana, OpenTelemetry

About Us: 

At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

• AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
• Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.

Meet the Founders: 

LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes. We’re proud to be recognised by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.

Why Work With Us? 

At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

• Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
• Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
• Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
• Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
• Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
• Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.

Job Title : Backend Engineer (AI-First | FinTech/Crypto)

Experience : 3 to 6 Years

Location : Gurugram (Sector 49)

Working Hours : 10:00 AM – 6:00 PM

Work Mode : On-site | 6 Days Working

Employment Type : Full-time

Role Overview :

This is not a typical ticket-based engineering role. You will take end-to-end ownership of systems—designing architecture, building scalable solutions, and solving real-world performance challenges.

We operate in an AI-first engineering environment, leveraging advanced tools and automation workflows to build high-performance distributed systems.

Mandatory Skills :

Java/Spring Boot or Node.js, System Design (HLD/LLD), Distributed Systems, Event-Driven Architecture (Kafka/RabbitMQ), Low-Latency APIs, PostgreSQL/MongoDB, CI/CD, Docker/Kubernetes, AI-assisted development (Copilot/Cursor/Claude)

Key Responsibilities :

• Design and build scalable backend systems (Java/Spring Boot, Node.js, or similar).
• Architect and implement event-driven systems (Kafka, RabbitMQ, pub/sub).
• Develop secure and reliable financial systems with strong data integrity.
• Solve scalability and performance challenges in fintech/crypto environments.
• Own features end-to-end: design → development → deployment → monitoring.
• Work with real-time data pipelines (WebSockets, streaming, event sourcing).
• Define service contracts and optimize system architecture.

AI-First Engineering (Must-Have Mindset) :

You will :

• Use tools like GitHub Copilot, Cursor, and Claude in daily development
• Follow spec-driven development using structured instructions
• Review, validate, and ship AI-generated code with strong engineering judgment

Core Requirements :

• 3+ years of backend development experience.
• Strong expertise in Java (Spring Boot) or Node.js.
• Solid understanding of System Design (HLD/LLD, Distributed Systems).
• Experience with event-driven architectures (Kafka, RabbitMQ, async pipelines).
• Hands-on experience building low-latency, high-throughput systems.
• Strong database knowledge (PostgreSQL, MongoDB, etc.).
• Understanding of security, performance optimization, and reliability.
• Experience with CI/CD, Git, Docker, Kubernetes.
• Exposure to React / React Native is a plus.

Good to Have (Differentiators) :

• Experience in FinTech / Crypto / Web3 / Blockchain.
• Built systems for trading, payments, or real-time financial data.
• Experience with AI agents, automation pipelines, or agent-based systems.
• Exposure to parallel AI workflows (coding / testing / refactoring).
• Contributions to open source or technical blogs.
• Experience handling production-scale systems.

Role Overview

We are looking for a hands-on Senior Telephony Engineer who actively writes production-grade code and has deep experience with Asterisk-based systems, Java backend development, and high-scale dialler platforms.

Key Responsibilities

This is NOT an architecture-only role we need someone who can:

• Write code
• Debug real-time call issues
• Build and optimize telephony flows end-to-end
• Key Responsibilities (Hands-on Coding Focus)
• Develop and maintain Asterisk dialplans, AGI scripts, and call flows
• Build Java-based backend services for telephony control and orchestration
• Implement and optimize predictive / preview / progressive diallers
• Integrate telephony stack with:

Kafka

RabbitMQ

• Write scalable code for call routing, retry logic, and queue handling
• Work directly on SIP signalling, RTP flows, and debugging call issues
• Handle real-time call events, CDR processing, and logging pipelines
• Optimize systems for high concurrency (thousands of parallel calls)
• Debug production issues like:

Call drops

Latency

One-way audio

SIP failures

Qualifications & Skills

• Bachelors degree in Computer Engineering; Masters is a plus.
• Telephony (Core Requirement)
• Strong hands-on experience with Asterisk
• Deep knowledge of:

SIP / RTP / VoIP

Dialplans

AGI / AMI

• Experience building or maintaining dialers (very important)
• Backend Development
• Strong coding skills in Java (Spring Boot preferred)
• Experience building microservices / APIs
• Comfortable writing high-performance, low-latency code
• Messaging & Event Systems
• Hands-on experience with:

Apache Kafka

RabbitMQ

• Ability to implement event-driven systems
• Scaling & Performance
• Experience handling high call volumes (1000+ concurrent calls)

Understanding of:

• Multi-threading
• Queue management
• Load handling
• Good to Have
• Experience with predictive dialers
• Exposure to WebRTC / real-time communication
• Experience with Docker / Kubernetes
• Understanding of TRAI / Indian telecom ecosystem
• Experience with FreeSWITCH (bonus)

What We Are NOT Looking For

• Pure solution architects who dont code
• People with only theoretical telecom knowledge
• Candidates without real dialer / Asterisk production experience

What We Are Looking For

Someone who has:

• Written real dialplans and backend code
• Debugged live call issues
• Worked on production telephony systems
• A problem solver who can go deep into logs, packets, and code

Impact of the Role

You will directly contribute to building a high-scale telephony + AI voice platform, working on real-time systems that handle thousands of concurrent calls.

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)

Key Responsibilities:

• Work on highly distributed and scalable system architecture

• Design, develop, test, and maintain high-quality software solutions

• Ensure performance, security, and maintainability of applications

• Collaborate with cross-functional teams and stakeholders

• Perform system testing and resolve technical issues

Required Skills:

• Strong experience in ASP.NET, C#, .NET Core, MVC

• Hands-on experience with SQL Server / PostgreSQL

• Experience in Angular / React (Frontend technologies)

• Knowledge of microservices architecture & RESTful APIs

• Familiarity with CQRS pattern

• Exposure to AWS / Docker / Kubernetes

• Experience with CI/CD pipelines (Azure DevOps, Jenkins)

• Knowledge of Node.js is an added advantage

• Understanding of Agile methodology

• Good exposure to cybersecurity and compliance

Technology Stack:

• Microsoft .NET technologies (primary)

• Cloud platforms: AWS (SaaS/PaaS/IaaS)

• Databases: MSSQL, MongoDB, PostgreSQL

• Caching: Redis, Memcached

• Messaging queues: RabbitMQ, Kafka, SQS

Budget: 35 LPA to 45 LPA

Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Key Responsibilities:

• Design, develop, and deploy computer vision and machine learning models for analyzing visual and document-based data.
• Build pipelines that convert unstructured visual inputs into structured and usable information.
• Develop and evaluate models for tasks such as object detection, segmentation, document parsing, and image understanding.
• Apply OCR and related techniques to extract meaningful information from complex documents and imagery.
• Work with large datasets and build efficient training and evaluation pipelines.
• Handle real-world visual datasets that may contain noise, inconsistencies, incomplete information, or varying formats.
• Experiment with different approaches to solve challenging computer vision problems and evaluate tradeoffs between accuracy, performance, and complexity.
• Collaborate with product and engineering teams to integrate machine learning models into scalable production systems.
• Continuously improve model performance, accuracy, and robustness in real-world environments.
• Stay up to date with the latest developments in AI and computer vision and apply relevant techniques where appropriate.
• Actively leverage modern AI tools and frameworks to accelerate experimentation, development, and engineering workflows.

Requirements:

• 5+ years of hands-on experience building and deploying machine learning models, particularly in Computer Vision or document understanding.
• Strong proficiency in Python for machine learning and data processing.
• Hands-on experience with modern ML frameworks such as PyTorch and libraries in the Hugging Face ecosystem.
• Experience with computer vision tooling such as OpenCV.
• Experience with common ML and data science libraries such as scikit-learn, NumPy, and Pandas.
• Experience developing models for tasks such as segmentation, object detection, or document analysis.
• Experience working with large image datasets and building training pipelines.
• Solid understanding of model evaluation, data preprocessing, and performance optimization.
• Strong problem-solving skills and ability to work in a fast-paced product environment.
• Ability to collaborate effectively with cross-functional engineering and product teams.
• The candidate should be based in India
• Willing to work remotely full-time
• Work schedule is Mon to Fri, 3:30am to 12:30pm IST

Preferred Qualifications:

• Experience with TensorFlow or other deep learning frameworks.
• Experience working with OCR pipelines or document analysis systems.
• Experience deploying machine learning models in production environments.
• Experience with containerized deployments such as Docker or Kubernetes.
• Experience working with complex technical documents, diagrams, or structured visual data.
• Familiarity with spatial or geometry-related data problems.
• Experience with libraries such as Detectron2, MMDetection, or similar.
• Familiarity with frameworks used to integrate modern AI models into applications (e.g., LangChain or similar tooling).
• Contributions to open-source ML or computer vision projects are a plus.

Additional Information:

• The problems we work on involve complex visual and document-based data, so we value engineers who enjoy tackling challenging technical problems and experimenting with different approaches to reach practical solutions.
• Candidates are required to include links to relevant projects, GitHub repositories, research work, or examples of machine learning systems they have built.

Benefits:

• Flexible remote work opportunities with career development opportunities
• Engagement with a supportive and collaborative global team
• Competitive market based salary

Dear Candidates,

We have an urgent requirement for a Technical Lead – Full Stack role based in Bangalore. Please find the details below:

Work Location (WFO):

Nagar, Bengaluru, Karnataka

Interview Process:

L1 Interview – Face-to-Face at Office

Experience Required:

4-6 Years (Minimum1+ years in Technical Leadership role)

Role Overview:

The candidate will lead the technical vision and architecture of a compliance platform by designing scalable, secure, and high-performance systems. The role involves driving full-stack development across .NET and open-source technologies, enabling unified AI Agent capabilities, Single Authentication (SSO), and a One-UI experience.

Key Responsibilities:

• Define and own end-to-end architecture including micro-frontends, .NET services, FastAPI APIs, and microservices
• Lead full-stack development using .NET and modern open-source technologies
• Modernize legacy systems (ASP.NET, .NET Core, MS SQL Server) to cloud-native architecture
• Design and implement AI Agents, SSO, and unified UI experiences
• Manage sprint planning, backlogs, and collaborate with Product Owners
• Implement CI/CD pipelines using Jenkins, GitHub Actions
• Drive containerization and orchestration using Docker & Kubernetes
• Ensure secure deployments and cloud infrastructure management
• Establish engineering best practices, code reviews, and architecture governance
• Mentor teams on Clean Architecture, SOLID principles, and DevOps practices

Required Skills:

• ReactJS, FastAPI, Python, REST/GraphQL
• ASP.NET, MVC, .NET Core, Entity Framework, MS SQL Server
• Strong experience in Microservices Architecture
• DevOps: CI/CD, Jenkins, GitOps, Docker, Kubernetes
• Cloud Platforms: AWS / Azure / GCP
• AI/ML & LLM tools: OpenAI, Llama, LangChain, etc.
• Security: RBAC, API security, secrets management

Qualifications:

• BE / BTech in Computer Science

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

• Bachelor’s degree in computer science, Web Development, or a related field (or equivalent practical experience).
• Minimum of 4 to 8 years of professional experience in Java

development.

• Strong proficiency in Java and object-oriented programming.
• Minimum of 4 years of experience in building microservices with Spring Boot.
• Solid understanding of RESTful APIs and experience with API design and integration.
• Strong problem-solving skills and the ability to think critically.

Job Title: Senior Java Architect (12+ Years Experience)

Location: Remote (2 PM - 11 PM IST)

Experience: 12+ Years

Salary: ₹15L - ₹21L/yr

Employment Type: Contract (1 Year Extendable)

Job Description:

We are looking for a highly experienced Java Architect to join our team on a long-term contract basis. The ideal candidate should have deep expertise in designing scalable enterprise applications using Java and microservices architecture. The candidate should be capable of driving architecture decisions, mentoring development teams, and delivering high-performance solutions for enterprise-grade systems.

Key Responsibilities:

• Design and architect scalable enterprise applications using Java and microservices
• Lead system design and architecture decisions for complex applications
• Develop and implement microservices architecture patterns
• Drive technical architecture across multiple development teams
• Mentor and guide senior developers and engineering teams
• Handle high-traffic, scalable enterprise application architecture
• Collaborate with stakeholders to define technical requirements and roadmaps
• Ensure system performance, scalability, and reliability
• Review code and architecture designs for best practices
• Work with Spring Boot, Spring Cloud, and modern Java frameworks

Required Skills & Qualifications:

• 12+ years of hands-on experience in Java development and architecture
• Strong expertise in microservices architecture and design patterns
• Deep knowledge of system design principles and enterprise architecture
• Hands-on experience with Spring Boot and Spring Cloud
• Experience designing scalable, high-performance enterprise applications
• Proficiency in RESTful APIs, messaging systems, and API gateways
• Strong understanding of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Knowledge of database design (SQL and NoSQL)
• Expertise in JVM tuning and performance optimization

Technical Skills:

• Java 11+ (Java 17/21 preferred)
• Spring Boot, Spring Cloud, Spring Security
• Microservices architecture and design patterns
• RESTful APIs, GraphQL, gRPC
• Apache Kafka, RabbitMQ, or similar messaging systems
• Docker, Kubernetes, CI/CD pipelines
• PostgreSQL, MySQL, MongoDB, or similar databases
• Redis, Elasticsearch, or caching solutions
• Maven, Gradle, Git

Additional Requirements:

• Ability to work 2 PM - 11 PM IST (US/Europe Shift Timing)
• Immediate availability or short notice period (15 days max)
• Strong problem-solving and analytical skills
• Excellent communication skills for stakeholder collaboration
• Experience mentoring technical teams
• Contract commitment for a minimum of 1 year (extendable)

Good to Have (Preferred Skills):

• Experience with reactive programming (WebFlux, Project Reactor)
• Cloud certification (AWS Solutions Architect, etc.)
• Experience with observability tools (Prometheus, Grafana)
• Knowledge of domain-driven design (DDD)
• Experience with multi-cloud or hybrid cloud architectures
• Freelance/contract experience (preferred)

What We Offer:

• 1.2 ~ 1.8 LPM fixed contract salary
• Long-term contract (1-year extendable)
• Remote work with a flexible 2-11 PM IST schedule
• Work with cutting-edge enterprise technologies
• Opportunity to architect large-scale systems
• Collaborate with experienced engineering teams
• Immediate start for the right candidates

Work mode- WFO 5 days

Location: Hyderabad (Onsite)

Experience- 7+

• K8s Hands-on experience
• Linux Troubleshooting Skills
• Experience on OnPrem Servers and Management
• Helm
• Docker
• Ingress and Ingress Controllers
• Networking Basics
• Proficient Communication

Must-Have Skills:

• Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
• Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
• Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
• Security & compliance knowledge for regulated industries.
• Preferred: Experience with GKE, RKE, Rook-Ceph, and certifications like CKA, CKAD.

Who You Are

• A Kubernetes expert who thrives on scalability, automation, and security.
• Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
• Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
• A problem solver who simplifies complexity and drives cloud-native adoption.

What You’ll Do

• Architect & automate Kubernetes solutions for airgap and multi-region clusters.
• Optimize CI/CD pipelines & cloud-native deployments.
• Work with open-source projects, selecting the right tools for the job.
• Educate & guide teams on modern cloud-native infrastructure best practices.
• Solve real-world scaling, security, and infrastructure automation challenges.

Why Join Us?

• Work on high-impact Kubernetes projects in regulated industries.
• Solve real-world automation & infrastructure challenges with cutting-edge tools.
• Grow in a team that values learning, open-source contributions, and innovation.

What are we looking for?

• You have a good understanding and work experience in AKS, Kubernetes, and EKS.
• You are able to manage multi region clusters for disaster recovery.
• You have a good understanding of AWS stack.
• You have experience of production level in Kubernetes. 
• You are comfortable coding/programming and can do so whenever required. 
• You have worked with programmable infrastructure in some way - Built a CI/CD pipeline, Provisioned infrastructure programmatically or Provisioned monitoring and logging infrastructure for large sets of machines.
• You love automating things, sometimes even what seems like you can’t automate - such as one of our engineers used Ansible to set up the Ubuntu workstation and runs a playbook every time something has to be installed.
• You don’t throw around words such as “high availability” or “resilient systems” without understanding at least their basics. Because you know that words are easy to talk about but there is a fair amount of work to build such a system in practice.
• You love coaching people - about the 12-factor apps or the latest tool that reduced your time of doing a task by X times and so on. You lead by example when it comes to technical work and community.
• You understand the areas you have worked on very well but, you are curious about many systems that you may not have worked on and want to fiddle with them.
• You know that understanding applications and the runtime technologies gives you a better perspective - you never looked at them as two different things.

What you will be learning and doing?

• You will be working with customers trying to transform their applications and adopt cloud-native technologies. The technologies used will be Kubernetes, Prometheus, Service Mesh, Distributed tracing and public cloud technologies or on-premise infrastructure.
• The problems and solutions are continuously evolving in space but fundamentally you will be solving problems with simplest and scalable automation.
• You will be building open source tools for problems that you think are common across customers and industry. No one ever benefited from re-inventing the wheel, did they? 
• You will be hacking around open source projects, understand their capabilities, limitations and apply the right tool for the right job.
• You will be educating the customers - from their operations engineers to developers on scalable ways to build and operate applications in modern cloud-native infrastructure.

Role & Responsibilities

• Develop and deliver automation software to build and improve platform functionality
• Ensure reliability, availability, and manageability of applications and cloud platforms
• Champion adoption of Infrastructure as Code (IaC) practices
• Design and build self-service, self-healing, monitoring, and alerting platforms
• Automate development and testing workflows through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers)
• Build and manage container hosting platforms using Kubernetes

Requirements

• Strong experience deploying and maintaining GCP cloud infrastructure
• Well-versed in service-oriented and cloud-based architecture design patterns
• Knowledge of cloud services including compute, storage, networking, messaging, and automation tools (e.g., CloudFormation/Terraform equivalents)
• Experience with relational and NoSQL databases (Postgres, Cassandra)
• Hands-on experience with automation/configuration tools (Puppet, Chef, Ansible, Terraform)

Additional Skills

• Strong Linux system administration and troubleshooting skills
• Programming/scripting exposure (Bash, Python, Core Java, or Scala)
• CI/CD pipeline experience (Jenkins, Git, Maven, etc.)
• Experience integrating solutions in multi-region environments
• Familiarity with Agile/Scrum/DevOps methodologies

What are we looking for?

• You have a good understanding and work experience in AKS, Kubernetes, and EKS.
• You are able to manage multi region clusters for disaster recovery.
• You have a good understanding of AWS stack.
• You have experience of production level in Kubernetes. 
• You are comfortable coding/programming and can do so whenever required. 
• You have worked with programmable infrastructure in some way - Built a CI/CD pipeline, Provisioned infrastructure programmatically or Provisioned monitoring and logging infrastructure for large sets of machines.
• You love automating things, sometimes even what seems like you can’t automate - such as one of our engineers used Ansible to set up the Ubuntu workstation and runs a playbook every time something has to be installed.
• You don’t throw around words such as “high availability” or “resilient systems” without understanding at least their basics. Because you know that words are easy to talk about but there is a fair amount of work to build such a system in practice.
• You love coaching people - about the 12-factor apps or the latest tool that reduced your time of doing a task by X times and so on. You lead by example when it comes to technical work and community.
• You understand the areas you have worked on very well but, you are curious about many systems that you may not have worked on and want to fiddle with them.
• You know that understanding applications and the runtime technologies gives you a better perspective - you never looked at them as two different things.

What you will be learning and doing?

1. You will be working with customers trying to transform their applications and adopt cloud-native technologies. The technologies used will be Kubernetes, Prometheus, Service Mesh, Distributed tracing and public cloud technologies or on-premise infrastructure.
2. The problems and solutions are continuously evolving in space but fundamentally you will be solving problems with simplest and scalable automation.
3. You will be building open source tools for problems that you think are common across customers and industry. No one ever benefited from re-inventing the wheel, did they? 
4. You will be hacking around open source projects, understand their capabilities, limitations and apply the right tool for the right job.
5. You will be educating the customers - from their operations engineers to developers on scalable ways to build and operate applications in modern cloud-native infrastructure.

About the role

We are looking for talented Senior Backend Engineers (5+ years of experience) to join our team and take ownership of different parts of our stack. You will be working alongside a team of Engineers locally and directly with the U.S. Engineering team on all aspects of product/application development. You will leverage your experiences and abilities to inform decisions across product development and technology. You will help us build the foundation of our 2nd Headquarters in Pune: its culture, its processes, and its practices. There are a ton of interesting problems to solve, so come hungry. If your colleagues describe you as curious, driven, kind, and creative you are a culture fit.

What Success Looks Like

• You write, review and ship code in production. Your employer or client's success depends on the software you build
• You use Generative AI tools on a daily basis to enhance the quality and efficacy of your software and non-software deliverables
• You are a self-starter and enjoy working with minimal supervision
• You evaluate and make technical architecture decisions with a long-term view, optimizing for speed, quality, and safety
• You take pride in the product you create and the code that you write
• Your team can rely on you to get them out of a sticky situation in production
• You can work well on a team of sales executives, designers and engineers in an in-person environment
• You are passionate about the enterprise software development lifecycle and feel strongly about improving it
• You are a first principles engineer who exercises curiosity about the technologies you work with
• You can learn quickly about technologies, software and code that you are not familiar with, often from rudimentary documentation
• You take ownership of the code that you write, and you help the team operate with everything that you build, throughout its lifecycle
• You communicate openly and solicit feedback on important decisions, keeping the team aligned on your rationale
• You exercise an optimistic mindset and are willing to go the extra mile to make things work

Areas of Ownership

Our hiring process is designed for you to demonstrate a generalist set of capabilities, with a specialization in Backend Technologies.

Required Technical Experience (MUST HAVE):

• Expertise in Python -
• Deep hands-on experience with Terraform -
• Proficiency in Kubernetes -
• Experience with cloud platforms (GCP strongly preferred, AWS/Azure acceptable) -

Additional experience with some of the following:

• Backend Frameworks and Technologies (Node.js, NuxtJS, Express.js)
• Programming languages (JavaScript, TypeScript, Java, C++, Go)
• RPCs (REST, gRPC or GraphQL)
• Databases (SQL, NoSQL, Postgres, MongoDB, or Firebase)
• CI/CD (Jenkins, CircleCI, GitLab or similar)
• Source code versioning tools such as Git or Perforce
• Microservices architecture

Ways to stand out

• Familiarity with AI Platforms
• Extensive experience with building enterprise-scale applications with >99% SLAs
• Deep expertise across the full required stack: Python, Terraform, Kubernetes, and GCP

You'll Get...

• Competitive Salary
• Medical Insurance Benefits
• Employer Provident Fund contributions with Gratuity after 5 years of service
• Company-sponsored US onsite trips for high performers, based on business requirements
• Potential international transfer support for top performers, based on business requirements
• Technology (hardware, software, trainings, etc.) equipment and/or allowance
• The opportunity to re-shape an entire industry
• Beautiful office environment
• Meal allowance and/or food provision on site

Culture

Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.

Virtual Hiring Drive Site Reliability Engineer (SRE)

Date: 25th April 2026, Saturday (Single-Day Drive)

Mode: 100% Virtual - All interview rounds on the same day

Experience: 3 to 7 Years

Note : We are looking for quick joiners who can join us within 30 days.

About the Role

We are looking for a Site Reliability Engineer who understands the realities of running production systems at scale. If building reliable, scalable, and observable systems excites you, you'll enjoy working with us.

At One2N, we solve One-to-N problems where proof of concept is already built and the real challenge lies in scalability, maintainability, performance, and reliability.

You will work closely with startups and mid-sized clients, helping them architect production-grade infrastructure and observability systems.

Key Responsibilities

• Design and build platform engineering solutions with a self-serve model
• Architect and optimize observability systems (metrics, logs, traces)
• Implement monitoring, logging, alerting & dashboards
• Build and optimize CI/CD pipelines
• Automate repetitive operational and infrastructure tasks (IaC-first approach)
• Improve Developer Experience (DX)
• Guide teams on SRE best practices & on-call processes
• Participate in code reviews and mentor engineers
• Contribute to cloud-native and platform engineering initiatives

Must-Have Skills

• 3 - 7 years experience in DevOps / SRE / Platform Engineering
• Strong hands-on with Kubernetes on AWS
• Expertise in observability tools like Datadog / Honeycomb / ELK / Grafana / Prometheus
• Experience with Docker & Microservices architecture
• Infrastructure as Code using Terraform / Pulumi
• Strong Linux troubleshooting skill
• Programming knowledge in Golang / Python / Java
• Automation & scripting expertise

6 + years of hands-on development experience and in-depth knowledge of , Spring Java, Spring boot, Quarkus and nice to have front-end technologies like Angular, React JS

● Excellent Engineering skills in designing and implementing scalable solutions

● Good knowledge of CI/CD Pipeline with strong focus on TDD

● Strong communication skills and ownership

● Exposure to Cloud, Kubernetes, Docker, Microservices is highly desired.

● Experience in working on public cloud environments like AWS, Azure, GCP w.r.t. solutions development, deployment & adoption of cloud-based technology components like IaaS / PaaS offerings

● Proficiency in PL/SQL and Database development.

Strong in J2EE & OOPS Design Patterns.

Dear Candidates,

Exp: 3+ years

NP: Immediate to 7 days

Location: Bangalore, Chennai

5 days week

Job Description

Function: Software Engineering → Full-Stack Development

Fintech/BFSI domain experience.

• React.js
• Node.js
• AWS

 Requirements:

• Mandatory Skill: Strong Experience in React JS, Node JS, and AWS -3+ years of relevant experience from Current Projects.
• Expertise with at least one Object-oriented JavaScript Framework (React, Angular, Ember, Dojo, Node, etc. ).
• Good to have hands-on experience in Python development.
• Proficiency with Object Oriented Programming, multi-threading, data serialization, and REST API to connect applications to back-end services.
• Proficiency in Docker, Kubernetes (k8s), Jenkins, and GitHub Actions is essential for this role.
• Proven cloud development experience AWS.
• Understanding of IT life cycle methodology and processes.
• Experience in understanding and Leading Enterprise Platforms/Solutions.
• Experience working with Microservices/Service Oriented Architecture Frameworks.
• Good Understanding of Middleware technologies.
• Possess expertise in at least one unit testing framework.
• Education: Avoid UG Degree alone and look only at B. E/B. Tech/MCA/M. Sc.

Must-Have Skills:

• Hands-on experience with airgap Kubernetes clusters, ideally in regulated industries (finance, healthcare, etc.).
• Strong expertise in CI/CD pipelines, programmable infrastructure, and automation.
• Proficiency in Linux troubleshooting, observability (Prometheus, Grafana, ELK), and multi-region disaster recovery.
• Security & compliance knowledge for regulated industries.
• Preferred: Experience with GKE, RKE, Rook-Ceph and certifications like CKA, CKAD.

Who You Are

• A Kubernetes expert who thrives on scalability, automation, and security.
• Passionate about optimizing infrastructure, CI/CD, and high-availability systems.
• Comfortable troubleshooting Linux, improving observability, and ensuring disaster recovery readiness.
• A problem solver who simplifies complexity and drives cloud-native adoption.

What You’ll Do

• Architect & automate Kubernetes solutions for airgap and multi-region clusters.
• Optimize CI/CD pipelines & cloud-native deployments.
• Work with open-source projects, selecting the right tools for the job.
• Educate & guide teams on modern cloud-native infrastructure best practices.
• Solve real-world scaling, security, and infrastructure automation challenges.

Why Join Us?

• Work on high-impact Kubernetes projects in regulated industries.
• Solve real-world automation & infrastructure challenges with cutting-edge tools.
• Grow in a team that values learning, open-source contributions, and innovation.

We are looking for an experienced Backend Engineer with strong expertise in Kubernetes internals, control-plane development, and Golang-based microservices. If you enjoy building scalable infrastructure components and working with modern cloud-native technologies, this role is for you.

Key Responsibilities

• Design and implement Kubernetes controllers/operators and define new Custom Resource Definitions (CRDs).
• Develop REST and gRPC APIs for platform components and services.
• Contribute to Kubernetes management plane development and enhancements.
• Build and maintain microservices using Golang (1–2 years of hands-on experience required).
• Work with virtualization and container platforms such as KubeVirt, OpenShift, and similar technologies.
• Collaborate with engineering teams to design scalable infrastructure solutions.
• Use AI-assisted development tools such as GitHub Copilot or Augment (nice to have).

Required Skills

• Strong experience with Kubernetes internals, especially controller/operator implementation.
• Experience defining and managing CRDs.
• Hands-on development experience with Golang microservices.
• Experience building and consuming REST and gRPC APIs.
• Exposure to virtualisation technologies (KubeVirt, OpenShift, etc.).
• Prior work on Kubernetes management plane components or similar distributed systems.

Good to Have

• Experience working with AI-driven development tools.
• Exposure to cloud-native environments, containers, and orchestration technologies.

Job role: Systems Engineer (L2)

Location: Remote/Bengaluru

Experience: 3-6 years

About the Role:

We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.

Key Responsibilities:

 — Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.

 — Manage and optimize networking components — routers, switches, firewalls, load balancers.

 — Handle incident response — monitor systems, identify issues, resolve production problems.

 — Implement DevOps best practices — CI/CD pipelines, automation, containerization.

 — Collaborate with backend and product teams on system architecture.

— Performance tuning — ensure high availability and reliability of platform.

— Security management — implement security protocols and compliance standards.

Required Skills:

Technical:

• Linux/Unix administration — strong fundamentals
• Networking — TCP/IP, DNS, BGP, VoIP protocols
• Cloud platforms — AWS/GCP/Azure — minimum 2 years
• DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
• Monitoring tools — Grafana, Prometheus, Kibana, Datadog
• Scripting — Python, Bash, Shell
• Databases — MySQL, PostgreSQL, Redis

Soft skills:

• Strong problem-solving under pressure
• Good communication — English written and verbal
• Team player — collaborative mindset

Good to Have:

• Experience in telecom/CPaaS/cloud communications industry
• Knowledge of VoIP, SIP, RTP protocols
• AI/ML operations experience
• CCNA/AWS certifications

✅ Mandatory Skills

• Strong programming experience in C++ (C++11/14/17)
• Hands-on experience with Kubernetes (K8s)Application-level understanding
• Experience with StatefulSets & DaemonSets
• Good understanding of Linux systems
• Experience in multithreading and concurrency
• Strong problem-solving and debugging skills

⭐ Good to Have

• Experience in Microservices architecture
• Knowledge of Docker / containerization
• Basic knowledge of Python (for scripting/automation)
• Exposure to Distributed Systems
• Familiarity with CI/CD pipelines
• Experience with cloud platforms (AWS / Azure / GCP)

Job Title: Lead Software Engineer

Experience: 4 - 12 yr

Department: Software

Reports To: Senior Software Engineer / Software Architect

Purpose of the Role

The incumbent will be responsible for designing and developing robust software solutions for products in the domains of Warehouse Automation, Industrial Automation, Robotics, and IoT. The role includes defining software architecture, ensuring scalability and performance, and mentoring the development team to drive technical excellence and innovation.

Technical Skills Required

• Proven experience in designing, developing, and deploying high-volume, scalable applications.
• Expertise in distributed systems, microservices, and central system architectures.
• Programming & Frameworks: Proficiency in Java 17+.
• Experience with frameworks such as Spring, Hibernate, Kubernetes, and RESTful APIs.
• Knowledge of JPA, MS SQL, and database modelling/design.
• Hands-on experience with GCP, AWS, or Azure for cloud architecture.
• Familiarity with virtualization and containerization technologies.
• Strong skills in data modelling and database design.
• Knowledge of secure coding practices.
• Tech stack: Java, MSSQL, MySQL, Spring Boot, Redis, Data Structures, Linux, basics of Kubernetes.

Behavioural Skills Required

• Attention to Detail (Proficient)
• Problem Solving
• Decision Making
• Collaborative approach
• Adaptability to a volatile environment
• Accountability
• Good Leadership skills

Job Responsibilities

• Understand requirements and define database and application structure under guidance of Software Architect.
• Write high-quality, scalable, and efficient code.
• Prepare Functional Requirement Documents (FRD) based on inputs from BA team.
• Guide junior and mid-level developers and provide technical support.
• Collaborate to identify and fix technical issues in UAT/Production.
• Work closely to meet project deadlines.
• Take ownership of product implementations at customer sites.
• Hands-on development for assigned modules/products.
• Handle application performance in production.
• Work with customers to understand automation requirements.
• Review and merge code changes from the team.
• Conduct sprint meetings, demos, and resolve development roadblocks.
• Optimize code for performance and efficiency.

Role Overview

We are looking for a skilled Systems Engineer with strong expertise in Ansible automation, Kubernetes, and system-level scripting. This role focuses on building scalable automation and managing GPU-aware infrastructure.

Key Responsibilities

• Develop and maintain automation workflows using Ansible
• Write and optimize Ansible playbooks for infrastructure and application deployment
• Automate system-level tasks using Bash scripting
• Debug and test automation workflows for reliability and scalability
• Manage Kubernetes clusters, including:
• Pod lifecycle management
• Networking and firewall configurations
• GPU resource mapping and scheduling
• Custom Resource Definitions (CRDs)
• Collaborate with engineering teams to integrate automation into CI/CD pipelines
• Ensure secure and scalable infrastructure for AI workloads

Requirements

• Strong hands-on experience with Ansible and automation workflows
• Solid Linux system administration experience
• Proficiency in Bash scripting
• Deep understanding of Kubernetes (pods, networking, CRDs, GPU scheduling)
• Experience in debugging and optimizing automation systems
• Strong problem-solving and ownership mindset

Nice to Have

• Experience with GPU workloads or HPC environments
• Exposure to monitoring tools like Prometheus and Grafana

Lead Software Development Engineer in Test (SDET) – UI, focused on driving UI test automation strategy, framework design, and quality leadership for modern web applications. The role is hands-on and cross-functional, emphasizing scalable, maintainable, and reliable Playwright-based UI automation and a strong culture of quality across the SDLC.

Role Overview

• Acts as a technical leader and mentor for the UI SDET/QA automation team.
• Owns the UI automation vision and framework architecture, primarily using Playwright with TypeScript.
• Partners closely with Product, Engineering, UX, and DevOps to ensure high-quality frontend delivery.
• Champions continuous improvement, engineering excellence, and rapid feedback.

Core Technology Stack

• Playwright – primary UI automation framework
• TypeScript – main automation language
• Jest – unit testing and utilities
• Docker & Kubernetes – containerized test environments
• GitHub Actions – CI/CD integration
• Karate – API and E2E testing support

Key Responsibilities

Technical Leadership & Strategy

• Lead the design, implementation, and evolution of UI automation frameworks.
• Enforce best practices such as Page Object Model (POM), data-driven testing, and atomic test design.
• Reduce flakiness, improve execution speed, and ensure meaningful assertions.

Quality & Process Ownership

• Own and execute comprehensive UI test plans aligned with BDD practices.
• Establish and maintain robust regression testing.
• Drive root cause analysis and continuous improvement for UI defects.
• Incorporate feedback from test outcomes and production issues to improve coverage.

Culture & Collaboration

• Promote a TDD mindset and shared ownership of test automation among engineers.
• Champion a culture of quality, learning, and continuous improvement.
• Support team growth through coaching, feedback, and skills development.
• Ensure strong documentation, code quality, and knowledge sharing.

Core Skills & Qualities

• Strong expertise in Playwright, POM, and UI automation best practices.
• Advanced knowledge of TypeScript, waits, locators, and test stability techniques.
• Experience with CI/CD pipelines, test reporting, and analytics.
• Strong collaboration, communication, and stakeholder management skills.
• Awareness of technical debt, system design trade-offs, and test strategy balance.
• Comfort with ambiguity, fast change, and evolving technologies.

Preferred & Highly Desirable Experience

Preferred

• 5+ years of UI SDET/QA/software engineering experience.
• 2+ years in a technical leadership role.
• Proven success delivering scalable and reliable UI automation systems.
• Experience mentoring engineers in agile, cross-functional teams.

Highly Desirable

• Testing non-deterministic systems, including AI/ML or GenAI-driven UIs.
• Using AI to accelerate testing and SDLC processes.
• Experience with Docker/Kubernetes for test environments.
• Understanding of the Test Pyramid and balancing UI, integration, and unit tests.
• Experience in distributed or multidisciplinary teams.

Required Skills

• 8+ years of DevOps / Cloud Engineering experience
• Strong hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC, etc.)
• Expertise in Kubernetes (deployment, scaling, cluster management)
• Strong experience in PostgreSQL and AWS RDS administration
• Proficiency in Terraform for infrastructure automation
• Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, etc.)
• Strong knowledge of Java (mandatory) and application deployment lifecycle
• Experience with Docker and containerization
• Solid understanding of networking, security, and system architecture
• Strong troubleshooting and problem-solving skills

Job Title:

DevOps / MLOps Engineer – GCP, Kubernetes, GPU Workloads, Python

Job Description

We are looking for an MLOps Engineer with 4–7 years of experience in cloud infrastructure, web application development, and ML pipeline deployment. The ideal candidate will manage GPU workloads on Kubernetes (GKE/EKS), optimize ML infrastructure, and handle scalable web applications in cloud environments.

Responsibilities:

• Develop and maintain web apps using Python, TypeScript, and Node.js.
• Manage DevOps pipelines and production infrastructure on GCP, including Terraform, Kubernetes, and cloud storage.
• Deploy, scale, and monitor ML models (vLLM, Triton, TensorRT-LLM) on multi-GPU instances.
• Optimize GPU resources, container GPU passthrough, autoscaling, and cost efficiency.
• Write and run tests for application and infrastructure code.
• Collaborate effectively using online communication tools (Slack, Teams, Zoom).
• Utilize AI coding copilots and productivity tools to accelerate development.

Requirements:

• 4–7 years experience in cloud infrastructure and DevOps/MLOps roles.
• Strong skills in Python, TypeScript, Node.js, and Kubernetes (GKE/EKS).
• Experience with GPU workloads, Terraform, SaaS environments, and Linux administration.
• Knowledge of ML model deployment, CUDA/NCCL debugging, and GPU optimization.
• Conversational English (written, verbal, listening).

Required - CI/CD, Node.js, TypeScript, CUDA, NCCL, GPU optimization, ML model deployment, Infrastructure as Code, Cloud infrastructure, and AI coding copilots.

Job Types: Full-time, Permanent

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).

Job Title: Consultant – Enterprise Application Development

Location: Bengaluru (Hybrid / On-site)

Engagement: Full-Time

Experience: 10 – 15 years preferred

About Us: Introducing VTT, a comprehensive mobility service provider catering to diverse multinational sectors like IT/ITES, KPO/BPO, Financial, Pharma, and more across Indian cities. Our “Managed Mobility Program” includes Fleet Management, Technology, Resource Management, Car Rentals, Logistics, and Special Services (Ambulance and PWD vehicles). Trusted by Fortune companies such as Cisco, Morgan Stanley, Wells Fargo, Google, PWC, and others, we pride ourselves on leveraging expertise and cutting-edge technology for safe, efficient, and uninterrupted service delivery. With a commitment to excellence, we ensure best-in-class standards for all our clients. Trip to school is now timely, comfy and secure! Our well maintained f leet is here to enrich your child’s commute, keeping students punctual and safe thanks to GPS tracking paired with well-trained drivers. Our routes are carefully planned, our drivers attentive, and everything hassle-free.

Role Overview

We are looking for a seasoned Consultant with comprehensive expertise in enterprise-level application development across backend, frontend, mobile, DevOps, and cloud. The role demands a strong architectural mindset combined with hands-on execution. The Consultant will also play a critical role in understanding the current system architecture end-to-end, driving technical improvements, building the tech team foundation, and establishing structured technical documentation.

Key Responsibilities

• Understand the complete architecture of the existing systems, including web, mobile, backend services, and cloud environment.

• Provide hands-on leadership across backend, frontend, mobile, DevOps, and cloud infrastructure.

• Architect and optimize enterprise-grade applications for scalability, security, performance, and reliability.

• Conduct technical due diligence on current systems and propose improvements or refactoring plans.

• Build the foundation for the internal engineering team including hiring support, role definitions, and best-practice processes.

• Drive engineering workflows including coding standards, branching strategy, CI/CD, monitoring, and release management.

• Create comprehensive technical documentation covering system architecture, API specs, deployment playbooks, and SOPs.

• Review code and provide mentorship to engineering resources.

• Coordinate with product and business teams to translate requirements into technical design and actionable development roadmap.

• Troubleshoot and resolve deep-stack issues during development or production.

Technical Expertise Required

Backend

• Java / Spring Boot

• Node.js

•Microservices architecture

• REST / GraphQL

Frontend

• React js

• Responsive UI, component-based architecture, state management

Mobile

• Flutter

• React Native

Cloud & DevOps

• AWS (ECS / EKS / EC2 / RDS / Lambda / S3 / IAM / CloudWatch etc.)

• CI/CD pipelines (GitHub Actions / Jenkins / GitLab CI or equivalent)

• Docker / Kubernetes

• Infrastructure-as-code (Terraform / CloudFormation)

Database

• MongoDB

• Knowledge of PostgreSQL / MySQL is an added advantage

Professional Attributes

• Strong architectural thinking with the ability to simplify complex systems.

• Excellent communication and stakeholder management skills.

• Ability to work independently without constant supervision.

• Capability to mentor, lead, and build an engineering team from scratch.

• Process-driven mindset with a focus on best practices and documentation.

Deliverables

• Architectural understanding and documentation of current systems.

• Recommendations and implementation plan for system upgrades or restructuring.

• Establishment of core engineering processes and standards.

• Hiring support and technical evaluation of developers.

Job Title : Golang Backend Developer

Experience : 3+ Years

Location : Bangalore (Work From Office)

Notice Period : Immediate to 15 Days (Strict)

🚀 About the Role :

We are looking for a Backend Developer with strong Golang expertise to build scalable, high-performance systems. You will play a key role in designing microservices, handling concurrent workloads, and developing robust backend architectures for production-scale applications.

🔥 Mandatory Skills :

Strong hands-on experience in Golang, Microservices Architecture, REST APIs, Concurrency (goroutines & channels), PostgreSQL/MySQL, Redis, Messaging Systems (Kafka/RabbitMQ/SQS), AWS/GCP, Docker & Kubernetes, and CI/CD pipelines.

🛠️ Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build high-performance REST APIs and microservices.
• Develop concurrent and distributed systems using goroutines and channels.
• Implement event-driven and asynchronous architectures.
• Optimize system performance, latency, and database efficiency.
• Integrate messaging systems and caching layers for scalability.
• Collaborate with cross-functional teams for end-to-end delivery.
• Ensure high code quality, testing, and system reliability.
• Monitor, debug, and enhance production systems.

Required Skills & Qualifications :

• Strong hands-on experience in Golang (must-have).
• Solid understanding of Concurrency in Go (goroutines, channels, worker pools).
• Experience with Microservices Architecture.
• Strong knowledge of RESTful API development.
• Proficiency in Databases : PostgreSQL / MySQL / MongoDB.
• Hands-on experience with Redis (caching).
• Experience with Messaging Systems: Kafka / RabbitMQ / SQS.
• Hands-on experience with AWS or GCP.
• Experience with Docker & Kubernetes.
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, etc.).
• Strong understanding of Data Structures, Algorithms, and System Design.

Good to Have :

• Experience with gRPC-based microservices.
• Familiarity with monitoring tools like Prometheus, Grafana.
• Exposure to high-scale distributed systems.
• Experience with event-driven architectures.
• Knowledge of security practices (JWT, OAuth2, RBAC).

What We’re Looking For :

• Strong problem-solving and debugging skills.
• Ownership mindset with end-to-end feature delivery.
• Ability to write clean, efficient, and maintainable code.
• Comfortable working in a fast-paced, high-growth environment.

You can also register yourself on the below platform to proceed further :

https://hireinsecond.com/jobseeker-register

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

We're seeking an experienced Senior Backend Engineer to join our team. As a senior backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic.

Responsibilities:

● Design, develop, and deploy backend systems, including APIs, databases, and server-side logic

● Write clean, efficient, and well-documented code that adheres to industry standards and best practices

● Code Quality: Ensure code quality through code reviews, adherence to best practices, and continuous improvement

● Mentorship: Guide and mentor team members, fostering growth and innovation

● Collaboration: Work closely with stakeholders to align technical goals with business objectives

● Problem-Solving: Analyze and resolve technical challenges promptly ● Innovation: Stay updated with the latest technology trends and integrate them into solutions

Requirements:

● At least 7+ years of experience building scalable and reliable backend systems

● Strong expertise in NodeJS/NestJS, Express, PostgreSQL

● Experience with microservices architecture and distributed systems

● Proficiency in database design (SQL and NoSQL)

● Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines

● Deep understanding of design patterns, data structures, and algorithms

● Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes

● Exceptional communication and leadership skills

● Strong understanding of object-oriented programming principles and design patterns

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

● Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Description

Company is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.

As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their Google Cloud journey. You will be expected to work a large spectrum of technology and tools including public cloud platforms, AI and LLMs, Kubernetes, data processing systems, databases, and more.

What you will do...

• Working with our clients to understand their requirements and technical challenges. Using this input you will develop a technical design for a solution and communicate the value of your solution to the client team.
• You will work to develop delivery estimates and an estimated project plan.
• You will act as the lead technical member of the implementation project team. You are responsible for making the key technical and keeping delivery on track. You should be able to unblock when things are stuck.
• Utilize a broad range of technologies such as Kubernetes, AI, and Large Language Models (LLMs), to develop scalable and efficient cloud applications.
• Stay abreast of industry trends and new technologies to drive continuous improvement in cloud solutions and practices.
• Work closely with cross-functional teams to deliver end-to-end cloud solutions, from conceptualization to deployment and maintenance.
• Engage in problem-solving and troubleshooting to address complex technical challenges in a cloud environment.

What we need...

• 5+ years of experience working in a Software Engineering capacity
• Excellent knowledge and experience with Python, and preferably additional languages such as Go
• Strong critical thinking skills, and a bias towards problem solving
• Familiarity with implementing microservice architectures
• Fundamental skills with Kubernetes. You should be familiar with packaging and deploying your applications to k8s
• Experience building applications that work with data, databases, and other parts of the data ecosystem is preferred
• Familiarity with Generative AI workflows, frameworks like Langchain, and experience with Streamlit are all highly desirable, but at a minimum you should have a willingness to learn
• Experience deploying production workloads on the public cloud - either GCP or AWS
• Experience using CI/CD tools such as GitHub Actions, GitLab, etc
• Able to work with new tools and technologies where you may not have prior experience
• Comfortable with being on video in meetings internally and with clients
• Strong English communications skills

We are a fully remote company and offer competitive compensation and benefits.

Senior Software Engineer 

Challenge convention and work on cutting edge technology that is transforming the way our customers manage their physical, virtual and cloud computing environments. Virtual Instruments seeks highly talented people to join our growing team, where your contributions will impact the development and delivery of our product roadmap. Our award-winning Virtana Platform provides the only real-time, system-wide, enterprise scale solution for providing visibility into performance, health and utilization metrics, translating into improved performance and availability while lowering the total cost of the infrastructure supporting mission-critical applications.  

We are seeking an individual with expert knowledge in Systems Management and/or Systems Monitoring Software, Observability platforms and/or Performance Management Software and Solutions with insight into integrated infrastructure platforms like Cisco UCS, infrastructure providers like Nutanix, VMware, EMC & NetApp and public cloud platforms like Google Cloud and AWS to expand the depth and breadth of Virtana Products. 

Work Location: Pune/ Chennai

Job Type: Hybrid

Role Responsibilities: 

• The engineer will be primarily responsible for architecture, design and development of software solutions for the Virtana Platform 
• Partner and work closely with cross functional teams and with other engineers and product managers to architect, design and implement new features and solutions for the Virtana Platform. 
• Communicate effectively across the departments and R&D organization having differing levels of technical knowledge.  
• Work closely with UX Design, Quality Assurance, DevOps and Documentation teams. Assist with functional and system test design and deployment automation 
• Provide customers with complex and end-to-end application support, problem diagnosis and problem resolution 
• Learn new technologies quickly and leverage 3rd party libraries and tools as necessary to expedite delivery 

Required Qualifications:    

• Minimum of 7+ years of progressive experience with back-end development in a Client Server Application development environment focused on Systems Management, Systems Monitoring and Performance Management Software. 
• Deep experience in public cloud environment using Kubernetes and other distributed managed services like Kafka etc (Google Cloud and/or AWS) 
• Experience with CI/CD and cloud-based software development and delivery 
• Deep experience with integrated infrastructure platforms and experience working with one or more data collection technologies like SNMP, REST, OTEL, WMI, WBEM. 
• Minimum of 6 years of development experience with one or more of these high level languages like GO, Python, Java. Deep experience with one of these languages is required. 
• Bachelor’s or Master’s degree in computer science, Computer Engineering or equivalent 
• Highly effective verbal and written communication skills and ability to lead and participate in multiple projects 
• Well versed with identifying opportunities and risks in a fast-paced environment and ability to adjust to changing business priorities 
• Must be results-focused, team-oriented and with a strong work ethic 

Desired Qualifications: 

• Prior experience with other virtualization platforms like OpenShift is a plus 
• Prior experience as a contributor to engineering and integration efforts with strong attention to detail and exposure to Open-Source software is a plus 
• Demonstrated ability as a lead engineer who can architect, design and code with strong communication and teaming skills 
• Deep development experience with the development of Systems, Network and performance Management Software and/or Solutions is a plus 

About Virtana:  Virtana delivers the industry’s only broadest and deepest Observability Platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. 

Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. 

Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. 

We are looking for a DevOps Engineer with hands-on experience in managing production infrastructure using AWS, Kubernetes, and Terraform. The ideal candidate will have exposure to CI/CD tools and queueing systems, along with a strong ability to automate and optimize workflows.

Responsibilities: 

* Manage and optimize production infrastructure on AWS, ensuring scalability and reliability.

* Deploy and orchestrate containerized applications using Kubernetes.

* Implement and maintain infrastructure as code (IaC) using Terraform.

* Set up and manage CI/CD pipelines using tools like Jenkins or Chef to streamline deployment processes.

* Troubleshoot and resolve infrastructure issues to ensure high availability and performance.

* Collaborate with cross-functional teams to define technical requirements and deliver solutions.

* Nice-to-have: Manage queueing systems like Amazon SQS, Kafka, or RabbitMQ.

Requirements: 

* 4+ years of experience with AWS, including practical exposure to its services in production environments.

* Demonstrated expertise in Kubernetes for container orchestration.

* Proficiency in using Terraform for managing infrastructure as code.

* Exposure to at least one CI/CD tool, such as Jenkins or Chef.

* Nice-to-have: Experience managing queueing systems like SQS, Kafka, or RabbitMQ.

Must Have Skills:

• Overall 10+ years of experience in application development using Golang.
• Experience in designing and developing REST based services / Microservice development.
• Ability to design scalable, robust, and error-tolerant systems.
• Understanding of software architecture and distributed systems.
• Proficient in writing efficient and optimized algorithms under time constraints.
• Skilled in developing solutions that balance performance, readability, and maintainability.
• Ability to effectively communicate coding decisions and rationale during problem-solving discussions.
• Hands-on experience with queuing mechanisms such as Kafka or RabbitMQ.
• Candidates should be adaptable and eager to quickly learn and integrate into the existing tech stack if they lack direct experience.
• Candidate should have good communication skills (written and verbal).
• Experience with delivering projects in an agile environment using SCRUM methodologies.

Good to have:

• Experience to AWS, CI/CD, DevOps.
• Experience using container management tools such as Kubernetes, Docker and Rancher.
• Any one of these data store Cassandra, Postgres, Couchbase, or other NoSQL servers.

Job Title: Cloud Development & Linux Debugging Engineer

Experience: 5–10 Years

Location: Bangalore / Chennai

Job Summary

We are looking for an experienced Cloud Development & Linux Debugging Engineer with strong expertise in Linux internals, system-level programming, and cloud technologies. The ideal candidate will have hands-on experience in developing, debugging, and optimizing Linux-based systems along with exposure to DevOps tools and containerized environments.

Key Responsibilities

• Develop and debug software at the Linux system level (kernel/user space).
• Work on Linux internals, low-level system components, and performance optimization.
• Design, develop, and maintain applications using Python and C/C++.
• Troubleshoot complex issues in Linux and cloud-based environments.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Contribute to automation and infrastructure using DevOps tools.
• Work with containerized and cloud platforms such as Kubernetes and OpenStack.

Required Skills

• Strong experience in Linux software development (Linux internals, system-level programming).
• Proficiency in Python and C/C++.
• Solid debugging and analytical skills.
• Hands-on experience with Ansible, Puppet, and DevOps practices.
• Experience working with OpenStack and Kubernetes.
• Good understanding of Agile/Scrum methodologies.
• Excellent communication and teamwork skills.

Preferred Skills (Good to Have)

• Experience with Go / Golang and Go templating.
• Knowledge of Kubernetes Operators and Helm.
• Exposure to containerization technologies (Docker, Kubernetes).
• Contributions to open-source projects.
• Experience with cloud-native architectures.

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
• Self-driven individual with a strong learning mindset.
• Ability to work independently and in collaborative team environments.