114 Kubernetes Jobs in Hyderabad | Kubernetes Job openings in Hyderabad

Job Title: Forward Deployed Engineer (FDE) – Agentic AI

Location: Bangalore / Hyderabad

Experience: 8–10 Years

Job Description:

We are looking for an experienced Forward Deployed Engineer to design, build, and deploy end-to-end AI solutions. The candidate should have strong hands-on experience in Agentic AI, Python, AWS, and cloud infrastructure, along with a proven track record of mentoring team members.

Mandatory Skills: Forward Deployed Engineering (FDE), End-to-End AI Development, Python, Model Context Protocol (MCP), AWS, Terraform, Kubernetes, Docker, Agentic AI, GenAI, LLMs, and RAG.

Good to Have: Salesforce, Graph-RAG, LangSmith, Airflow, Kafka, Snowflake, and Pinecone.

Key Requirement: Strong technical expertise in end-to-end AI implementation and demonstrated experience mentoring and upskilling team members. Salesforce experience is an added advantage.

Roles & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.
2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.
3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.
4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.
5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.
6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.
7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

1. Strong Automation Architect Profile with cloud-based automation strategy and framework architecture
2. Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6 years focused continuously on hands-on automation, including automation strategy and framework architecture
3. Mandatory (Experience 2) – Must have hands-on expertise building automation using industry automation tools and frameworks.
4. Mandatory (Experience 3) – Must have a proven record designing scalable automation solutions and leading automation initiatives end to end.
5. Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
6. Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
7. Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
8. Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
9. Mandatory (Title) – Current title must include "Architect". Candidates currently titled Automation Engineer, QA Automation Lead, DevOps Engineer, Cloud Engineer, or other non-architect profiles will not be considered
10. Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
11. Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)

Job Description – Java Full Stack + DevOps Engineer

Position

Java Full Stack + DevOps Engineer

Hiring Requirement

HR: Gangadharam

Experience

8+ Years

Location

Bangalore & Hyderabad

Role Overview

We are looking for an experienced Java Full Stack + DevOps Engineer with strong expertise in Java, React or Angular, DevOps, Virtual Machines, Docker, and Kubernetes.

The ideal candidate should have strong hands-on experience in Java application development along with frontend technologies and containerization/deployment practices.

Mandatory Skills

• Java – Strong hands-on experience
• React or Angular – Frontend development experience
• DevOps – Good understanding of CI/CD and deployment practices
• Virtual Machines (VM)
• Docker
• Kubernetes

Key Responsibilities

• Design, develop, and maintain scalable applications using Java.
• Develop and integrate frontend applications using React or Angular.
• Work closely with DevOps teams to build and maintain CI/CD pipelines.
• Deploy and manage applications in Virtual Machine environments.
• Containerize applications using Docker.
• Deploy, manage, and troubleshoot applications using Kubernetes.
• Work on application performance, scalability, availability, and reliability.
• Collaborate with cross-functional teams including developers, DevOps engineers, and architects.
• Troubleshoot production and deployment-related issues.
• Follow best practices for coding, containerization, deployment, and application security.

Candidate Requirements

• 8+ years of IT experience with strong Java development experience.
• Hands-on experience in React or Angular.
• Strong understanding of DevOps concepts and practices.
• Experience working with VMs, Docker, and Kubernetes.
• Good understanding of application deployment and container orchestration.
• Strong communication and problem-solving skills.

Job Details

HR: Gangadharam

Role: Java Full Stack + DevOps Engineer

Experience: 8+ Years

Location: Bangalore & Hyderabad

Key Skills: Java + React/Angular + DevOps + VM + Docker + Kubernetes

IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

​

Site Reliability Engineer (SRE) / Production Support Engineer

Experience: 5–10 Years

Location: Hyderabad

Work Mode: Face-to-Face Drive

Shift: Rotational Shifts

Job Description

Looking for an experienced SRE / Production Support Engineer with strong experience in application and production support, incident management, monitoring, troubleshooting, and cloud operations.

Key Skills

Production Support, Incident Management, Splunk, APM, SLI/SLO, Cloud, Kubernetes, Docker, Terraform, Linux/Windows Administration, Shell Scripting and Python.

Good understanding of production deployments, batch monitoring, network/load balancing, and troubleshooting is required.

Candidates from SRE, Production Support, Application Support, Cloud Operations, or DevOps backgrounds are preferred.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Job Description – DevOps + Python

Job Title: DevOps + Python Developer

Experience: 4–10 Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

• Python
• Kubernetes
• Containerization
• DevOps
• Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)

Job Description

We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.

The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.

Key Responsibilities

• Develop and maintain applications/scripts using Python.
• Work with Kubernetes and containerized environments.
• Support DevOps processes and automation.
• Work with cloud platforms and cloud-based environments.
• Collaborate with development and infrastructure teams.
• Troubleshoot and resolve deployment and environment-related issues.

Title                                 : Senior AI Platform / MLOps Engineer

Experience                    : 6+ years

Work type                      : Chennai - Work from Office/other locations - Remote

Employment Type      : Full Time

Notice Period              : Immediate

Work Day                     :Mon to Fri

Key Responsibilities:

• Install, configure and operate OpenShift, NVIDIA GPU operator, OpenShift AI, and NIM microservices on 12× RTX PRO 6000 across two servers; single-node and HA control-plane topologies
• Serving configuration and tuning: quantized model deployment (FP8/FP4), replica balancing, batching, KV-cache and context management
• Azure GPU build environments: provisioning, cost control, parity with the on-prem stack via pinned container/model versions; cloud-to-factory migration with parity regression
• GitOps CI/CD, container registry, artifact/model versioning, environment promotion; observability and audit wiring (Splunk, Prometheus/Grafana)
• Benchmark automation: load harness, p50/p95/p99 latency, tokens/sec, GPU utilization; the capacity report data pipeline
• Platform upgrade procedure with evaluation-regression gates; deployment runbook as a first-class deliverable

Technical Skills:

• 6+ years infrastructure/platform engineering with 3+ years production Kubernetes; OpenShift experience strongly preferred
• Hands-on GPU inference serving in production: NIM, Triton, vLLM, or TensorRT-LLM — you have sized, deployed, and tuned LLM serving on real GPUs and can talk memory-bandwidth trade-offs
• GitOps fluency (ArgoCD/Flux), infrastructure-as-code, container internals; comfortable in air-gapped/proxy-restricted enterprise networks
• Observability depth: metrics, traces, log pipelines; has built performance test harnesses, not just run them

• Azure or AWS GPU compute operations experience

Strongly preferred

• NVIDIA GPU operator and AI Enterprise stack specifics; KServe; Milvus or pgvector operations; VAST/NFS/S3 storage integration; banking or other regulated-environment delivery

About Ampera: 

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards 

Roles & Responsibilities

1. Own end-to-end customer deployments across cloud, BYOC, air-gapped, and data-center environments
2. Deploy and operate production environments using Kubernetes, Helm, and Terraform
3. Troubleshoot complex Kubernetes, networking, infrastructure, application, and deployment issues
4. Build and maintain observability, monitoring, alerting, and reliability
5. Handle customer escalations and drive issues to resolution with a "fix first, optimize later" mindset
6. Automate deployment and operational workflows
7. Work closely with Engineering, Product, and Customer teams to resolve production challenges
8. Participate in on-call and shift rotations, including critical customer escalations outside standard working hours

Ideal Candidate

1.Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience

2.Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

3.Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).

4.Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

5.Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

6.Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

7.Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

8.Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

9.Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

10.Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

11.Mandatory (Company): B2B SaaS product companies

12.Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.

13.Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog

14.Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability).

Job Description:

We are looking for an experienced Senior Java Developer with strong expertise in Java, Microservices, AWS, and Serverless Architecture. The ideal candidate should have hands-on experience in developing scalable cloud-based applications and working across the complete software development lifecycle.

Key Responsibilities:

• Develop and maintain applications using Java and Microservices.
• Build serverless solutions using AWS Lambda, API Gateway, DynamoDB, and SQS.
• Design and develop scalable REST APIs.
• Follow Agile and DevOps practices.
• Collaborate with cross-functional teams and participate in pair/mob programming.

Required Skills:

• Strong Java development experience.
• Hands-on experience with AWS services and Serverless Architecture.
• Experience with Spring Boot and Microservices.
• Good understanding of Agile and DevOps.
• Strong communication and problem-solving skills.

Preferred: Docker/Kubernetes, Infrastructure as Code, and EV/Connected Cars domain experience.

Key Selection Criteria: Strong Java + AWS Serverless experience, particularly with Lambda, API Gateway, DynamoDB, and SQS.

Job Title : MLOps Engineer

Mode: Hybrid

Experience : 4 to 7 Years

Location : Hyderabad (Priority)/Bengaluru locations only

Notice Period : Immediate Joiner

Job Summary:

We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment.

Key Responsibilities:

• Develop and maintain machine learning pipelines for training, testing, and deploying models

• Design and implement infrastructure for managing and monitoring machine learning models

• Work with data scientists to build scalable, efficient, and automated model training and testing processes

• Collaborate with software engineers to integrate machine learning models into production systems

• Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment

• Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance

• Develop and maintain documentation and best practices for MLOps processes and procedures.

Experience:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

• 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale

•Proficiency in programming languages such as Python, Java, and C++

•Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras

• Experience with containerization technologies such as Docker and Kubernetes

• Strong understanding of DevOps principles and practices

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud

OpenShift Cloud Platform (OCP)

Location: Hyderabad

Exp: 8+ years

Budget- 25 LPA

Work Timings: 2 shifts (Morning shift & Afternoon Shift)

Primary Skills: OpenShift GKE/AKS, Kubernetes, GitOps

Secondary/Desired Skills (preferred): RHCE/EX280/CKA certification

Cloud Expertise(Azure):

• Strong understanding of cloud services and resources like AI services, webapp, database, including monitoring tools like Azure Monitor and Log Analytics.

• Experience with Infrastructure as Code (IaC) tools such as Arm template / Bicep/Terraform.

• Deep understanding of Networking concepts(DNS, DHCP , Hub and Spoke).

• Understanding on policies and security aspects of cloud.

Kubernetes & Helm:

• In-depth knowledge of Kubernetes concepts such as pods, services, ingress, config maps, and secrets.

• Understand of Kubernetes templates and its deployment.

• Proficiency with Helm/ Kustomize or equivalent for Kubernetes package management and deployment automation.

• Implement Kubernetes best practices, including security, networking, and scaling.

• Concepts of Docker and Containers

CI/CD & Programming:

• Hands-on experience with YAML-based CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).

• Familiarity with scripting and automation tools such as PowerShell, Azure CLI, or Bash.

• Proven skill in python programming and concepts.

Monitoring and Observability:

Expertise in creating and managing Grafana dashboards for visualizing metrics and logs.

• Knowledge of Log Analytics & Azure Application Insights for performance monitoring and tracing.

🚀 We're Hiring | Site Reliability Engineer (SRE)

📍 Location: Hyderabad (Hybrid)

💼 Experience: 4–6 Years

P99Soft is looking for a skilled Site Reliability Engineer (SRE) to join our engineering team. If you're passionate about building highly available, scalable cloud infrastructure and driving automation across modern DevOps environments, we'd love to hear from you.

Key Responsibilities

- Design, implement, maintain, monitor, and support backend servers and microservices infrastructure.

- Build and maintain automation tools for development, testing, operations, and IT infrastructure.

- Participate in 24/7 on-call support for production incidents (PagerDuty).

- Collaborate with cross-functional teams to ensure seamless deployments and operational excellence.

- Define and improve SRE processes across development, testing, releases, and support.

- Troubleshoot complex infrastructure and production issues.

- Drive infrastructure automation and continuous process improvements.

Implement security best practices, vulnerability assessments, and risk management.

- Perform incident management and root cause analysis (RCA).

- Monitor system health, customer experience, and operational KPIs.

Required Skills

- Cloud Platforms: AWS, GCP

- Containerization & Orchestration: Docker, Kubernetes, Rancher, Amazon EKS, Amazon ECS, GKE, Elastic Beanstalk, Google App Engine

- Infrastructure as Code (IaC): Terraform, AWS CloudFormation, GCP Deployment Manager, Ansible

- Monitoring & Observability: Prometheus, Datadog, Alertmanager, Thanos, AWS CloudWatch

- CI/CD: GitLab CI/CD, Jenkins

- Scripting: Python, Golang

- Version Control: GitLab, Perforce, Subversion

- Operating Systems: Ubuntu, CentOS, Amazon Linux, Red Hat Enterprise Linux

If you have hands-on experience managing cloud-native infrastructure, Kubernetes environments, DevOps automation, and production operations, we'd love to connect with you.

📩 Share your resume:

Know someone who would be a great fit? Feel free to like, share, or tag them in the comments.

#Hiring #SiteReliabilityEngineer #SRE #CloudEngineer #DevOps #AWS #GCP #Kubernetes #Docker #Terraform #Jenkins #GitLab #Python #Golang #Infrastructure #CloudComputing #HyderabadJobs #HybridJobs #TechJobs #P99Soft

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Senior Software Engineer

• Minimum 5 years in typescript and Total of minimum 8 Years of experience
• Excellent communication skills. English Language fluency is Mandatory.

We are looking for strong backend senior engineers

• 8+ years experience as Senior Software Engineer
• Have worked in medium- to big-sized companies for at least 3 years ( companies with 50+ developers)
• Strong architecture and planning skills
• Strong AI coding skills (being fluent in developing agents and skills) and using them in their development routines
• Distributed programming knowledge
• Typescript, Postgres & Kubernetes knowledge.

Ways of working

The engineers will be lead/managed by a UK Multinational company engineer manager (initially one currently based in Europe), and we are going to work on hiring one in Asia if we succeed in putting the team together

Engineers will have a direct contract with UK Multinational Company as career employees (entitled to company benefits and career progression) and will be trained in the UK Multinational Company product portfolio and work on several different projects.

We work in an environment where each engineer is presented with a business problem (or user story) and must come up with a detailed plan on how to tackle it (and explain and get approval from the team), which we do during the refinement meetings. In summary, we do not tell the engineers what to do, our expectation from a Senior engineer is that he tells us what to do (he will be trained, of course, in the best practices and technical specs of our environment).

Hiring process

• Hiring manager interview
• System Design interview
• Coding (with AI) interview

About Us:

We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.

Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.

What You'll Do

• Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
• Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
• Craft scalable React UIs that power ops dashboards and parent-facing apps.
• Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
• Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
• Shape the engineering roadmap: propose, prioritise, and ship features with founders.
• Mentor juniors while executing solo on high-impact bets—no layers, just results.

We're Looking For

• 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
• Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
• Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
• Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
• Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.

This Role Is Not For You If…

• You need structured roadmaps, PM hand-holding, or big-tech process.
• Comfort > impact: stable salary over equity upside and chaos.
• You've never worn all hats (dev, ops, product) in a resource-constrained environment.

Why Join Us

• Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
• Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
• Hungry culture: we hire hustlers scaling from 700 to 10k students your wins are visible daily.
• Hungry to Leap? Apply now!

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

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

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.

✅ 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)

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.

Description

SRE Engineer

Role Overview 

As a Site Reliability Engineer, you will play a critical role in ensuring the availability and performance of our customer-facing platform. You will work closely with DevOps, DBA, and Development teams to provision and maintain infrastructure, deploy and monitor our applications, and automate workflows. Your contributions will have a direct impact on customer satisfaction and overall experience.

Responsibilities and Deliverables

• Manage, monitor, and maintain highly available systems (Windows and Linux)

• Analyze metrics and trends to ensure rapid scalability.

• Address routine service requests while identifying ways to automate and simplify.

• Create infrastructure as code using Terraform, ARM Templates, Cloud Formation.

• Maintain data backups and disaster recovery plans.

• Design and deploy CI/CD pipelines using GitHub Actions, Octopus, Ansible, Jenkins, Azure DevOps.

• Adhere to security best practices through all stages of the software development lifecycle

• Follow and champion ITIL best practices and standards.

• Become a resource for emerging and existing cloud technologies with a focus on AWS.

Organizational Alignment

• Reports to the Senior SRE Manager

• This role involves close collaboration with DevOps, DBA, and security teams.

Technical Proficiencies

• Hands-on experience with AWS is a must-have.

• Proficiency analyzing application, IIS, system, security logs and CloudTrail events

• Practical experience with CI/CD tools such as GitHub Actions, Jenkins, Octopus

• Experience with observability tools such as New Relic, Application Insights, AppDynamics, or DataDog.

• Experience maintaining and administering Windows, Linux, and Kubernetes.

• Experience in automation using scripting languages such as Bash, PowerShell, or Python.

• Configuration management experience using Ansible, Terraform, Azure Automation Run book or similar.

• Experience with SQL Server database maintenance and administration is preferred.

• Good Understanding of networking (VNET, subnet, private link, VNET peering).

• Familiarity with cloud concepts including certificates, Oauth, AzureAD, ASE, ASP, AKS, Azure Apps, 

Load Balancers, Application Gateway, Firewall, Load Balancer, API Management, SQL Server, Databases on Azure

Experience

• 7+ years of experience in SRE or System Administration role

• Demonstrated ability building and supporting high availability Windows/Linux servers, with emphasis on the WISA stack (Windows/IIS/SQL Server/ASP.net)

• 3+ years of experience working with cloud technologies including AWS, Azure.

• 1+ years of experience working with container technology including Docker and Kubernetes.

• Comfortable using Scrum, Kanban, or Lean methodologies.

Education

• Bachelor’s Degree or College Diploma in Computer Science, Information Systems, or equivalent 

experience.

Additional Job Details:

• Working hours: 2:00 PM / 3:00 PM to 11:30 PM IST

• Interview process: 3 technical rounds

• Work model: 3 days’ work from office

JOB DETAILS:

* Job Title: Specialist I - DevOps Engineering

* Industry: Global Digital Transformation Solutions Provider

* Salary: Best in Industry

* Experience: 7-10 years

* Location: Bengaluru (Bangalore), Chennai, Hyderabad, Kochi (Cochin), Noida, Pune, Thiruvananthapuram

Job Description

Job Summary:

As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.

The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.

Key Responsibilities:

• Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
• Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
• Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
• Define migration scope — determine how much history to migrate and plan the repository structure.
• Manage branch renaming and repository organization for optimized post-migration workflows.
• Collaborate with development teams to determine migration points and finalize migration strategies.
• Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.

Required Qualifications:

• Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
• Hands-on experience with P4-Fusion.
• Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
• Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
• Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
• Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
• Familiarity with CI/CD pipeline integration to validate workflows post-migration.
• Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
• Excellent communication and collaboration skills for cross-team coordination and migration planning.
• Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.

Skills: Github, Kubernetes, Perforce, Perforce (Helix Core), Devops Tools

Must-Haves

Git/GitHub (advanced), Perforce (Helix Core) (advanced), Python/Shell scripting (strong), P4-Fusion (hands-on experience), Git LFS (proficient)

JOB DETAILS:

* Job Title: Lead I - (Web Api, C# .Net, .Net Core, Aws (Mandatory)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 6 -9 years

* Location: Hyderabad

Job Description

Role Overview

We are looking for a highly skilled Senior .NET Developer who has strong experience in building scalable, high‑performance backend services using .NET Core and C#, with hands‑on expertise in AWS cloud services. The ideal candidate should be capable of working in an Agile environment, collaborating with cross‑functional teams, and contributing to both design and development. Experience with React and Datadog monitoring tools will be an added advantage.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using .NET Core and C#.
• Work with AWS services (Lambda, S3, ECS/EKS, API Gateway, RDS, etc.) to build cloud‑native applications.
• Collaborate with architects and senior engineers on solution design and implementation.
• Write clean, scalable, and well‑documented code.
• Use Postman to build and test RESTful APIs.
• Participate in code reviews and provide technical guidance to junior developers.
• Troubleshoot and optimize application performance.
• Work closely with QA, DevOps, and Product teams in an Agile setup.
• (Optional) Contribute to frontend development using React.
• (Optional) Use Datadog for monitoring, logging, and performance metrics.

Required Skills & Experience

• 6+ years of experience in backend development.
• Strong proficiency in C# and .NET Core.
• Experience building RESTful services and microservices.
• Hands‑on experience with AWS cloud platform.
• Solid understanding of API testing using Postman.
• Knowledge of relational databases (SQL Server, PostgreSQL, etc.).
• Strong problem‑solving and debugging skills.
• Experience working in Agile/Scrum teams.

Good to Have

• Experience with React for frontend development.
• Exposure to Datadog for monitoring and logging.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline, etc.).
• Containerization experience (Docker, Kubernetes).

Soft Skills

• Strong communication and collaboration abilities.
• Ability to work in a fast‑paced environment.
• Ownership mindset with a focus on delivering high‑quality solutions.

Skills

.NET Core, C#, AWS, Postman

Notice period - 0 to 15 days only

Location: Hyderabad

Virtual Interview: 7th Feb 2026

First round will be Virtual

2nd round will be F2F

JOB DETAILS:

* Job Title: Tester III - Software Testing (Automation testing + Python + AWS)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Develop, maintain, and execute automation test scripts using Python.
• Build reliable and reusable test automation frameworks for web and cloud-based applications.
• Work with AWS cloud services for test execution, environment management, and integration needs.
• Perform functional, regression, and integration testing as part of the QA lifecycle.
• Analyze test failures, identify root causes, raise defects, and collaborate with development teams.
• Participate in requirement review, test planning, and strategy discussions.
• Contribute to CI/CD setup and integration of automation suites.

Required Experience:

• Strong hands-on experience in Automation Testing.
• Proficiency in Python for automation scripting and framework development.
• Understanding and practical exposure to AWS services (Lambda, EC2, S3, CloudWatch, or similar).
• Good knowledge of QA methodologies, SDLC/STLC, and defect management.
• Familiarity with automation tools/frameworks (e.g., Selenium, PyTest).
• Experience with Git or other version control systems.

Good to Have:

• API testing experience (REST, Postman, REST Assured).
• Knowledge of Docker/Kubernetes.
• Exposure to Agile/Scrum environment.

Skills: Automation testing, Python, Java, ETL, AWS

JOB DETAILS:

* Job Title: Tester III - Software Testing (Automation Testing + Python + Azure)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Design, develop, and execute automation test scripts using Python.
• Build and maintain scalable test automation frameworks.
• Work with Azure DevOps for CI/CD, pipeline automation, and test management.
• Perform functional, regression, and integration testing for web and cloud‑based applications.
• Analyze test results, log defects, and collaborate with developers for timely closure.
• Participate in requirement analysis, test planning, and strategy discussions.
• Ensure test coverage, maintain script quality, and optimize automation suites.

Required Experience:

• Strong hands-on expertise in automation testing for web/cloud applications.
• Solid proficiency in Python for creating automation scripts and frameworks.
• Experience working with Azure services and Azure DevOps pipelines.
• Good understanding of QA methodologies, SDLC/STLC, and defect lifecycle.
• Experience with tools like Selenium, PyTest, or similar frameworks (good to have).
• Familiarity with Git or other version control tools.

Good to Have:

• Experience with API testing (REST, Postman, or similar tools)
• Knowledge of Docker/Kubernetes
• Exposure to Agile/Scrum environments

Skills: automation testing, python, java, azure

REVIEW CRITERIA:

MANDATORY:

• Strong Hands-On AWS Cloud Engineering / DevOps Profile
• Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
• Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
• Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
• Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
• Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
• Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills

ROLE & RESPONSIBILITIES:

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

KEY RESPONSIBILITIES:

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

IDEAL CANDIDATE:

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in Python or Bash
• Understanding of monitoring, incident management, and cloud security basics

NICE TO HAVE:

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

Required Skills: CI/CD Pipeline, Kubernetes, SQL Database, Excellent Communication & Stakeholder Management, Python

Criteria:

Looking for 15days and max 30 days of notice period candidates.

looking candidates from Hyderabad location only

Looking candidates from EPAM company only 

1.4+ years of software development experience

2. Strong experience with Kubernetes, Docker, and CI/CD pipelines in cloud-native environments.

3. Hands-on with NATS for event-driven architecture and streaming.

4. Skilled in microservices, RESTful APIs, and containerized app performance optimization.

5. Strong in problem-solving, team collaboration, clean code practices, and continuous learning.

6.  Proficient in Python (Flask) for building scalable applications and APIs.

7. Focus: Java, Python, Kubernetes, Cloud-native development

8. SQL database 

Description

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security) 
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

Job Position: Lead II - Software Engineering

Domain: Information technology (IT)

Location: India - Thiruvananthapuram

Salary: Best in Industry

Job Positions: 1

Experience: 8 - 12 Years

Skills: .Net, Sql Azure, Rest Api, Vue.Js

Notice Period: Immediate – 30 Days

Job Summary:

We are looking for a highly skilled Senior .NET Developer with a minimum of 7 years of experience across the full software development lifecycle, including post-live support. The ideal candidate will have a strong background in .NET backend API development, Agile methodologies, and Cloud infrastructure (preferably Azure). You will play a key role in solution design, development, DevOps pipeline enhancement, and mentoring junior engineers.

Key Responsibilities:

• Design, develop, and maintain scalable and secure .NET backend APIs.
• Collaborate with product owners and stakeholders to understand requirements and translate them into technical solutions.
• Lead and contribute to Agile software delivery processes (Scrum, Kanban).
• Develop and improve CI/CD pipelines and support release cadence targets, using Infrastructure as Code tools (e.g., Terraform).
• Provide post-live support, troubleshooting, and issue resolution as part of full lifecycle responsibilities.
• Implement unit and integration testing to ensure code quality and system stability.
• Work closely with DevOps and cloud engineering teams to manage deployments on Azure (Web Apps, Container Apps, Functions, SQL).
• Contribute to front-end components when necessary, leveraging HTML, CSS, and JavaScript UI frameworks.
• Mentor and coach engineers within a co-located or distributed team environment.
• Maintain best practices in code versioning, testing, and documentation.

Mandatory Skills:

• 7+ years of .NET development experience, including API design and development
• Strong experience with Azure Cloud services, including:
• Web/Container Apps
• Azure Functions
• Azure SQL Server
• Solid understanding of Agile development methodologies (Scrum/Kanban)
• Experience in CI/CD pipeline design and implementation
• Proficient in Infrastructure as Code (IaC) – preferably Terraform
• Strong knowledge of RESTful services and JSON-based APIs
• Experience with unit and integration testing techniques
• Source control using Git
• Strong understanding of HTML, CSS, and cross-browser compatibility

Good-to-Have Skills:

• Experience with Kubernetes and Docker
• Knowledge of JavaScript UI frameworks, ideally Vue.js
• Familiarity with JIRA and Agile project tracking tools
• Exposure to Database as a Service (DBaaS) and Platform as a Service (PaaS) concepts
• Experience mentoring or coaching junior developers
• Strong problem-solving and communication skills

Job Title : Senior QA Automation Architect (Cloud & Kubernetes)

Experience : 6+ Years

Location : India (Multiple Offices)

Shift Timings : 12 PM to 9 PM (Noon Shift)

Working Days : 5 Days WFO (NO Hybrid)

About the Role :

We’re looking for a Senior QA Automation Architect with deep expertise in cloud-native systems, Kubernetes, and automation frameworks.

You’ll design scalable test architectures, enhance automation coverage, and ensure product reliability across hybrid-cloud and distributed environments.

Key Responsibilities :

• Architect and maintain test automation frameworks for microservices.
• Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions).
• Ensure reliability, scalability, and observability of test systems.
• Work closely with DevOps and Cloud teams to streamline automation infrastructure.

Mandatory Skills :

• Kubernetes, Helm, Docker, Linux
• Cloud Platforms : AWS / Azure / GCP
• CI/CD Tools : Jenkins, GitHub Actions
• Scripting : Python, Pytest, Bash
• Monitoring & Performance : Prometheus, Grafana, Jaeger, K6
• IaC Practices : Terraform / Ansible

Good to Have :

• Experience with Service Mesh (Istio/Linkerd).
• Container Security or DevSecOps exposure.

Job Description

We are seeking a highly skilled DevOps / Kubernetes Engineer. The ideal candidate will have strong expertise in container orchestration, infrastructure as code, and GitOps workflows, with hands-on experience in Azure cloud environments. You will be responsible for designing, deploying, and managing modern cloud-native infrastructure and applications at scale.

Key Responsibilities:

· Manage and operate Kubernetes clusters (AKS / K3s) for large-scale applications.

· Implement infrastructure as code using Terraform or OpenTofu for scalable, reliable, and secure infrastructure provisioning.

· Deploy and manage applications using Helm and ArgoCD with GitOps best practices.

· Work with Podman and Docker as container runtimes for development and production environments.

· Collaborate with cross-functional teams to ensure smooth deployment pipelines and CI/CD integrations.

· Optimize infrastructure for cost, performance, and reliability within Azure cloud.

· Troubleshoot, monitor, and maintain system health, scalability, and performance.

Required Skills & Experience:

· Strong hands-on experience with Kubernetes (AKS / K3s) cluster orchestration.

· Proficiency in Terraform or OpenTofu for infrastructure as code.

· Experience with Helm and ArgoCD for application deployment and GitOps.

· Solid understanding of Docker / Podman container runtimes.

· Cloud expertise in Azure with experience deploying and scaling workloads.

· Familiarity with CI/CD pipelines, monitoring, and logging frameworks.

· Knowledge of best practices around cloud security, scalability, and high availability.

Preferred Qualifications:

· Contributions to open-source projects under Apache 2.0 / MPL 2.0 licenses.

· Experience working in global distributed teams across CST/PST time zones.

· Strong problem-solving skills and ability to work independently in a fast-paced environment.

Job Title: Python Developer (Full Time)

Location: Hyderabad (Onsite)

Interview: Virtual and Face to Face Interview (Last round)

Experience Required: 4 + Years  

Working Days: 5 Days

About the Role

We are seeking a highly skilled Lead Python Developer with a strong background in building scalable and secure applications. The ideal candidate will have hands-on expertise in Python frameworks, API integrations, and modern application architectures. This role requires a tech leader who can balance innovation, performance, and compliance while driving successful project delivery.

Key Responsibilities

1. Application Development

• Architect and develop robust, high-performance applications using Django, Flask, and FastAPI.

1. API Integration

• Design and implement seamless integration with third-party APIs (including travel-related APIs, payment gateways, and external service providers).

1. Data Management

• Develop and optimize ETL pipelines for structured and unstructured data using data lakes and distributed storage solutions.

1. Microservices Architecture

• Build modular, scalable applications using microservices principles for independent deployment and high availability.

1. Performance Optimization

• Enhance application performance through load balancing, caching, and query optimization to deliver superior user experiences.

1. Security & Compliance

• Apply secure coding practices, implement data encryption, and ensure compliance with industry security and privacy standards (e.g., PCI DSS, GDPR).

1. Automation & Deployment

• Utilize CI/CD pipelines, Docker/Kubernetes, and monitoring tools for automated testing, deployment, and production monitoring.

1. Collaboration

• Partner with front-end developers, product managers, and stakeholders to deliver user-centric, business-aligned solutions.

Requirements

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Technical Expertise

• 4+ years of hands-on experience with Python frameworks (Django, Flask, FastAPI).
• Proficiency in RESTful APIs, GraphQL, and asynchronous programming.
• Strong knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB) and big data tools (Spark, Kafka).
• Familiarity with Kibana, Grafana, Prometheus for monitoring and visualization.
• Experience with AWS, Azure, or Google Cloud, containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab CI).
• Working knowledge of testing tools: PyTest, Selenium, SonarQube.
• Experience with API integrations, booking flows, and payment gateway integrations (travel domain knowledge is a plus, but not mandatory).

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication, presentation, and teamwork abilities.
• Proactive, ownership-driven mindset with the ability to perform under pressure.

CTC: up to 20 LPA

Exp: 4 to 7 Years

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security)
•  
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking

Job Description: Java Developer

Position: Java Developer

Experience: 5 to 7 Years

Notice Period: Immediate Joiner

Key Responsibilities

• Design, develop, and maintain scalable, high-performance Java applications.
• Work with Core Java and Advanced Java concepts to build reliable backend solutions.
• Develop and deploy applications using Spring Boot framework.
• Design and implement RESTful Microservices with best practices in scalability and performance.
• Collaborate with cross-functional teams in an Agile/Scrum environment.
• Manage code versions effectively using Git/GitHub.
• Ensure code quality by integrating and analyzing with SonarQube.
• Participate in code reviews, sprint planning, and daily stand-ups.
• Troubleshoot production issues and optimize system performance.

Required Skills

• Strong proficiency in Core Java (OOPs, Collections, Multithreading, Exception Handling).
• Hands-on experience in Advanced Java (JDBC, Servlets, JSP, JPA/Hibernate).
• Proven experience with Spring Boot for application development.
• Knowledge and experience in Microservices Architecture.
• Familiarity with REST APIs, JSON, and Web Services.
• Proficient in Git/GitHub for version control and collaboration.
• Experience with Sonar Qube for code quality and security checks.
• Good understanding of Agile/Scrum methodologies.
• Strong problem-solving and debugging skills.

Nice-to-Have

• Experience with CI/CD pipelines (Jenkins, GitHub Actions, or similar).
• Familiarity with Docker/Kubernetes for containerized deployments.
• Basic knowledge of cloud platforms (AWS, Azure, GCP).

Role: Senior Backend Developer

Exp: 4 - 7 Years

CTC: up to 22 LPA

Key Responsibilities

• Design, develop, and maintain scalable applications using Java (Spring Boot) and Python (Flask).
• Build RESTful APIs and microservices following best practices.
• Implement event-driven architecture leveraging NATS messaging server.
• Deploy, manage, and optimize applications in Kubernetes and containerized environments.
• Develop and manage CI/CD pipelines, ensuring smooth deployment and delivery.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Write clean, maintainable, and well-documented code.
• Participate in code reviews and contribute to architectural decisions.
• Troubleshoot, debug, and optimize application performance.

Python Developer 

Location: Hyderabad (Apple Office)

Experience: 8+ years (Retail / E-commerce preferred)

Budget- 1.9 lpm + GST

Contract: 1 Year + Extendable

Job Responsibilities / Requirements:

• 8+ years of proven experience, preferably in retail or e-commerce environments.
• Strong expertise in Python development.
• Excellent communication skills with the ability to collaborate across multiple teams.
• Hands-on experience with Container & Orchestration: Kubernetes, Docker.
• Expertise in Infrastructure Automation via Kubernetes YAML configurations.
• Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
• Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
• Experience with Monitoring & Logging: Splunk, Grafana.
• Immediate Joiners Preferred – Urgent Support Required.

Python Developer 

Location: Hyderabad (Apple Office)

Experience: 8+ years (Retail / E-commerce preferred)

Budget- 1.9 lpm + GST

Contract: 1 Year + Extendable

Job Responsibilities / Requirements:

• 8+ years of proven experience, preferably in retail or e-commerce environments.
• Strong expertise in Python development.
• Excellent communication skills with the ability to collaborate across multiple teams.
• Hands-on experience with Container & Orchestration: Kubernetes, Docker.
• Expertise in Infrastructure Automation via Kubernetes YAML configurations.
• Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
• Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
• Experience with Monitoring & Logging: Splunk, Grafana.
• Immediate Joiners Preferred – Urgent Support Required.

🚀 Hiring: Dot net full stack at Deqode

⭐ Experience: 8+ Years

📍 Location: Bangalore | Mumbai | Pune | Gurgaon | Chennai | Hyderabad

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for an experienced Dotnet Full Stack Developer with strong hands-on skills in ReactJS, .NET Core, and Azure Cloud Services (Azure Functions, Azure SQL, APIM, etc.).

⭐ Must-Have Skills:-

➡️ Design and develop scalable web applications using ReactJS, C#, and .NET Core.

➡️Azure (Functions, App Services, SQL, APIM, Service Bus)

➡️Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes.

➡️Advanced experience in Entity Framework Core and SQL Server.

➡️Expertise in RESTful API development and microservices.

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  
• Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)
•  
• Skills & Competencies
• Skills Java (Spring Boot, Spring Cloud, Spring Security)
•  
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

1.4+ years of software development experience

2. Strong experience with Kubernetes, Docker, and CI/CD pipelines in cloud-native environments.

3. Hands-on with NATS for event-driven architecture and streaming.

4. Skilled in microservices, RESTful APIs, and containerized app performance optimization.

5. Strong in problem-solving, team collaboration, clean code practices, and continuous learning.

6. Proficient in Java (Spring Boot) and Python (Flask) for building scalable applications and APIs.

7. Focus: Java, Python, Kubernetes, Cloud-native development

Mandatory Criteria :

• Candidate must have Strong hands-on experience with Kubernetes of atleast 2 years in production environments.
• Candidate should have Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI).
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Candidate should have strong Backend experience.
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

About the Role

We are looking for a highly skilled and motivated Cloud Backend Engineer with 4–7 years of experience, who has worked extensively on at least one major cloud platform (GCP, AWS, Azure, or OCI). Experience with multiple cloud providers is a strong plus. As a Senior Development Engineer, you will play a key role in designing, building, and scaling backend services and infrastructure on cloud-native platforms.

# Experience with Kubernetes is mandatory.

Key Responsibilities

• Design and develop scalable, reliable backend services and cloud-native applications.
• Build and manage RESTful APIs, microservices, and asynchronous data processing systems.
• Deploy and operate workloads on Kubernetes with best practices in availability, monitoring, and cost-efficiency.
• Implement and manage CI/CD pipelines and infrastructure automation.
• Collaborate with frontend, DevOps, and product teams in an agile environment.
• Ensure high code quality through testing, reviews, and documentation.

Required Skills

• Strong hands-on experience with Kubernetes of atleast 2 years in production environments (mandatory).
• Expertise in at least one public cloud platform [GCP (Preferred), AWS, Azure, or OCI].
• Proficient in backend programming with Python, Java, or Kotlin (at least one is required).
• Solid understanding of distributed systems, microservices, and cloud-native architecture.
• Experience with containerization using Docker and Kubernetes-native deployment workflows.
• Working knowledge of SQL and relational databases.

Preferred Qualifications

• Experience working across multiple cloud platforms.
• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
• Exposure to monitoring, logging, and observability stacks (e.g., Prometheus, Grafana, Cloud Monitoring).
• Hands-on experience with BigQuery or Snowflake for data analytics and integration.

Nice to Have

• Knowledge of NoSQL databases or event-driven/message-based architectures.
• Experience with serverless services, managed data pipelines, or data lake platforms.

Job Title : Senior Consultant (Java / NodeJS + Temporal)

Experience : 5 to 12 Years

Location : Bengaluru, Chennai, Hyderabad, Pune, Mumbai, Gurugram, Coimbatore

Work Mode : Remote (Must be open to travel for occasional team meetups)

Notice Period : Immediate Joiners or Serving Notice

Interview Process :

• R1 : Tech Interview (60 mins)
• R2 : Technical Interview
• R3 : (Optional) Interview with Client

Job Summary :

We are seeking a Senior Backend Consultant with strong hands-on expertise in Temporal (BPM/Workflow Engine) and either Node.js or Java.

The ideal candidate will have experience in designing and developing microservices and process-driven applications, as well as orchestrating complex workflows using Temporal.io.

You will work on high-scale systems, collaborating closely with cross-functional teams.

Mandatory Skills :

Temporal.io, Node.js (or Java), React.js, Keycloak IAM, PostgreSQL, Terraform, Kubernetes, Azure, Jest, OpenAPI

Key Responsibilities :

• Design and implement scalable backend services using Node.js or Java.
• Build and manage complex workflow orchestrations using Temporal.io.
• Integrate with IAM solutions like Keycloak for role-based access control.
• Work with React (v17+), TypeScript, and component-driven frontend design.
• Use PostgreSQL for structured data persistence and optimized queries.
• Manage infrastructure using Terraform and orchestrate via Kubernetes.
• Leverage Azure Services like Blob Storage, API Gateway, and AKS.
• Write and maintain API documentation using Swagger/Postman/Insomnia.
• Conduct unit and integration testing using Jest.
• Participate in code reviews and contribute to architectural decisions.

Must-Have Skills :

• Temporal.io – BPMN modeling, external task workers, Operate, Tasklist
• Node.js + TypeScript (preferred) or strong Java experience
• React.js (v17+) and component-driven UI development
• Keycloak IAM, PostgreSQL, and modern API design
• Infrastructure automation with Terraform, Kubernetes
• Experience in using GitFlow, OpenAPI, Jest for testing

Nice-to-Have Skills :

• Blockchain integration experience for secure KYC/identity flows
• Custom Camunda Connectors or exporter plugin development
• CI/CD experience using Azure DevOps or GitHub Actions
• Identity-based task completion authorization enforcement

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

Job Title : Python Data Engineer

Experience : 4+ Years

Location : Bangalore / Hyderabad (On-site)

Job Summary :

We are seeking a skilled Python Data Engineer to work on cloud-native data platforms and backend services.

The role involves building scalable APIs, working with diverse data systems, and deploying containerized services using modern cloud infrastructure.

Mandatory Skills : Python, AWS, RESTful APIs, Microservices, SQL/PostgreSQL/NoSQL, Docker, Kubernetes, CI/CD (Jenkins/GitLab CI/AWS CodePipeline)

Key Responsibilities :

• Design, develop, and maintain backend systems using Python.
• Build and manage RESTful APIs and microservices architectures.
• Work extensively with AWS cloud services for deployment and data storage.
• Implement and manage SQL, PostgreSQL, and NoSQL databases.
• Containerize applications using Docker and orchestrate with Kubernetes.
• Set up and maintain CI/CD pipelines using Jenkins, GitLab CI, or AWS CodePipeline.
• Collaborate with teams to ensure scalable and reliable software delivery.
• Troubleshoot and optimize application performance.

Must-Have Skills :

• 4+ years of hands-on experience in Python backend development.
• Strong experience with AWS cloud infrastructure.
• Proficiency in building microservices and APIs.
• Good knowledge of relational and NoSQL databases.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools and DevOps processes.
• Strong problem-solving and collaboration skills.

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

Job Description

Position Title: Senior System Engineer

Position Type: Full Time

Department: RSG

Reports to: First Level Manager, Indian Development Centre

Company Background:

Cglia is a software development company building highly available, highly secure, cloud-based enterprise software products that helps speed the research process resulting in new drugs, new devices, and new treatments to improve the health and wellbeing of world population.

At Cglia, our work shows our dedication and passion for innovative quality software products that are intuitive and easy to use and exceeds every aspect of customer expectations.

Cglia, is the place that develops world-class professionals who would like to be innovative, creative, learn continuously, and build a solid foundation to build products that are special and delight the customer.

Job Description:

The Senior System Engineer will have expertise in managing both Linux and Windows environments, along with hands-on experience in containerization technologies such as Kubernetes and Docker. Proficiency in Ansible for automation and configuration management is essential. This role is critical in ensuring the seamless operation, deployment, and maintenance of our IT infrastructure.

The ideal candidate has to oversee and participate with the installation, monitoring, maintenance, support, optimization and documentation of all network hardware and software. This includes managing multiple projects, planning network technology roadmaps and configuring/optimizing network services both internally and those integrated with Internet-based services

Job Responsibilities:

· Manage, maintain, and monitor Linux and Windows servers to ensure high availability and performance.

· Perform system upgrades, patches, and performance tuning for both operating systems and DBA servers.

· Deploy, manage, and troubleshoot containerized applications using Kubernetes and Docker.

· Design and implement Kubernetes clusters to ensure scalability, security, and reliability.

· Develop and maintain Ansible playbooks for automation of repetitive tasks, configuration management,

and system provisioning.

· Implement security best practices for both Linux and Windows environments.

· Set up and manage backup and disaster recovery solutions for critical systems and data.

· Work closely with development teams to support CI/CD pipelines and troubleshoot application issues.

· Manage VM Ware in a high availability environment with Disaster Recovery

· Good experience in RAID & Firewall

· Maintaining and managing SQL database server support

· Experience with scripting languages Unix/Shell, Bash or PowerShell

· Assist Quality Assurance with testing program changes, new releases or user documentation and support

new product release activities that include testing customer flows

· Must have the ability to work a flexible schedule and is required to participate in on-call rotation, which

includes different shift timings, weekends, and holidays

· Work across multiple time zones with remote team members

· Perform other duties as deemed necessary to provide quality service to the clients

Experience and Skills Required:

· Minimum 4+ years of experience in Linux and Windows administration

· 3 years of experience in VM Ware in a high availability environment with Disaster Recovery

· Good experience in RAID & Firewall

· 2+ years of experience in SQL database server support

· Ability to quickly acquire an in-depth knowledge of multiple custom applications

· Experience in setting up IT policies based on best practices and monitoring them

· Experience in shell scripting and automating tasks

· Experience in hardware and software monitoring tools

· Experience in administration and best practices for Apache and Tomcat

· Experience in handling Cisco router and firewall configurations and management

· Working knowledge on SQL Server, Oracle and other RDBMS databases

· Must be proactive and possess strong interpersonal, communication and organization skills

· Must possess excellent written and verbal presentation skills

· Must be self-motivated

· Certification in Linux/Windows administration is preferable.

Academics:

· Bachelor's / Master's degree (or equivalent) in computer science or related field or equivalent experience.