50+ Kubernetes Jobs in India

Please note that salary will be based on experience.

Job Title: Full Stack Engineer

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

Job Summary

We are seeking a skilled Full Stack Engineer with solid hands-on experience across frontend and backend development. You will work on mission-critical features, ensuring seamless performance, scalability, and reliability across our products.

Responsibilities

• Design, develop, and maintain scalable full-stack applications.
• Build responsive, high-performance UIs using Typescript & Next.js.
• Develop backend services and APIs using Python (FastAPI/Django).
• Work closely with product, design, and business teams to translate requirements into intuitive solutions.
• Contribute to architecture discussions and drive technical best practices.
• Own features end-to-end — design, development, testing, deployment, and monitoring.
• Ensure robust security, code quality, and performance optimization.

Tech Stack

Frontend: Typescript, Next.js, React, Tailwind CSS

Backend: Python, FastAPI, Django

Databases: PostgreSQL, MongoDB, Redis

Cloud & Infra: AWS/GCP, Docker, Kubernetes, CI/CD

Other Tools: Git, GitHub, Elasticsearch, Observability tools

Requirements

Must-Have:

• 2+ years of professional full-stack engineering experience.
• Strong expertise in either frontend (Typescript/Next.js) or backend (Python/FastAPI/Django) with familiarity in both.
• Experience building RESTful services and microservices.
• Hands-on experience with Git, CI/CD, and cloud platforms (AWS/GCP/Azure).
• Strong debugging, problem-solving, and optimization skills.
• Ability to thrive in fast-paced, high-ownership startup environments.

Good-to-Have:

• Exposure to Docker, Kubernetes, and observability tools.
• Experience with message queues or event-driven architecture.

Perks & Benefits

• Upskilling support – courses, tools & learning resources.
• Fun team outings, hackathons, demos & engagement initiatives.
• Flexible Work-from-Home: 12 WFH days every 6 months.
• Menstrual WFH: up to 3 days per month.
• Mobility benefits: relocation support & travel allowance.
• Parental support: maternity, paternity & adoption leave.

Job Title : Full Stack Engineer (Python + React.js/Next.js)

Experience : 1 to 6+ Years

Location : Bengaluru (Indiranagar)

Employment : Full-Time

Working Days : 5 Days WFO

Notice Period : Immediate to 30 Days

Role Overview :

We are seeking Full Stack Engineers to build scalable, high-performance fintech products.

You will work on both frontend (Typescript/Next.js) and backend (Python/FastAPI/Django), owning features end-to-end and contributing to architecture, performance, and product innovation.

Main Tech Stack :

Frontend : Typescript, Next.js, React

Backend : Python, FastAPI, Django

Database : PostgreSQL, MongoDB, Redis

Cloud : AWS/GCP, Docker, Kubernetes

Tools : Git, GitHub, CI/CD, Elasticsearch

Key Responsibilities :

• Develop full-stack applications with clean, scalable code.
• Build fast, responsive UIs using Typescript, Next.js, React.
• Develop backend APIs using Python, FastAPI, Django.
• Collaborate with product/design to implement solutions.
• Own development lifecycle: design → build → deploy → monitor.
• Ensure performance, reliability, and security.

Requirements :

Must-Have :

• 1–6+ years of full-stack experience.
• Product-based company background.
• Strong DSA + problem-solving skills.
• Proficiency in either frontend or backend with familiarity in both.
• Hands-on experience with APIs, microservices, Git, CI/CD, cloud.
• Strong communication & ownership mindset.

Good-to-Have :

• Experience with containers, system design, observability tools.

Interview Process :

1. Coding Round : DSA + problem solving
2. System Design : LLD + HLD, scalability, microservices
3. CTO Round : Technical deep dive + cultural fit

Key Responsibilities

•     Design, develop, and implement backend services using Java (latest version), Spring Boot, and Microservices architecture.
•     Participate in the end-to-end development lifecycle, from requirement analysis to deployment and support.
•     Collaborate with cross-functional teams (UI/UX, DevOps, Product) to deliver high-quality, scalable software solutions.
•     Integrate APIs and manage data flow between services and front-end systems.
•     Work on cloud-based deployment using AWS or GCP environments.
•     Ensure performance, security, and scalability of services in production.
•     Contribute to technical documentation, code reviews, and best practice implementations.

Required Skills:

•     Strong hands-on experience with Core Java (latest versions), Spring Boot, and Microservices.
•     Solid understanding of RESTful APIs, JSON, and distributed systems.
•     Basic knowledge of Kubernetes (K8s) for containerization and orchestration.
•     Working experience or strong conceptual understanding of cloud platforms (AWS / GCP).
•     Exposure to CI/CD pipelines, version control (Git), and deployment automation.
•     Familiarity with security best practices, logging, and monitoring tools.

Preferred Skills:

•     Experience with end-to-end deployment on AWS or GCP.
•     Familiarity with payment gateway integrations or fintech applications.
•     Understanding of DevOps concepts and infrastructure-as-code tools (Added advantage).

We are seeking strong Java Full Stack Engineers who can independently contribute across backend and frontend systems. The ideal candidate should take complete ownership of delivery, collaborate effectively with cross-functional teams, and build scalable, high-performance applications.

Key Responsibilities

• Build, enhance, and maintain full-stack applications using Java, Spring Boot, Angular
• Own end-to-end feature development — design, development, testing, and deployment.
• Develop scalable microservices and ensure system performance, reliability, and security.
• Collaborate with product, QA, and architecture teams to deliver high-quality software.
• Optimize applications for speed, responsiveness, and maintainability on both backend and frontend.
• Troubleshoot complex issues across the stack and drive solutions independently.

Technical Skills:

• Strong experience in Java, Spring Boot, and Microservices, and Angular
• Solid understanding of Core Java, LLD, Design Patterns, and basic System Design
• Hands-on experience with Kafka, MongoDB, Redis, and distributed systems
• Experience with SQL or NoSQL databases

Additional Expectations

• Ability to work with minimal supervision and deliver high-quality code on time
• Strong debugging, problem-solving, and ownership mindset
• Experience building scalable, resilient, and performant applications
• Excellent communication and collaboration skills

Job Description: Senior Backend

Location: Bangalore (Onsite)

Skills Required:

• Deep expertise in backend architecture using Python (FastAPI, Django), Node.js (NestJS, Express), or GoLang.
• Strong experience with cloud infrastructure - AWS, GCP, Azure, and containerization (Docker, Kubernetes).
• Proficiency in infrastructure-as-code (Terraform, Pulumi, Ansible).
• Mastery in CI/CD pipelines, GitOps workflows, and deployment automation (GitHub Actions, Jenkins, ArgoCD, Flux).
• Experience building high-performance distributed systems, APIs, and microservices architectures.
• Understanding of event-driven systems, message queues, and streaming platforms (Kafka, RabbitMQ, Redis Streams).
• Familiarity with database design and scaling - PostgreSQL, MongoDB, DynamoDB, TimescaleDB.
• Deep understanding of system observability, tracing, and performance tuning (Prometheus, Grafana, OpenTelemetry).
• Familiarity with AI integration stacks - deploying and scaling LLMs, vector databases (Pinecone, Weaviate, Milvus), and inference APIs (vLLM, Ollama, TensorRT).
• Awareness of DevSecOps practices, zero-trust architecture, and cloud cost optimization.
• Bonus: Hands-on with Rust, WebAssembly, or edge computing platforms (Fly.io, Cloudflare Workers, AWS Greengrass).

Who We Are Looking For:

Upsurge Labs builds across robotics, biotech, AI, and creative tech, each product running on the backbone of precision-engineered software.

We are looking for a Senior Backend / DevOps Engineer who can architect scalable, resilient systems that power machines, minds, and media.

You should be someone who is :

• Disciplined and detail-oriented, thriving in complex systems without compromising reliability.
• Organized enough to manage chaos and gritty enough to debug at 3 a.m. if that’s what the mission demands.
• Obsessed with clean code, system resilience, and real-world impact.
• Finds satisfaction in building infrastructure where reliability, scalability, and performance are central.
• Comfortable working at the intersection of AI, automation, and distributed systems.
• Understands that this work is challenging and fast-paced, but rewarding for those who push boundaries.

At Upsurge Labs, only the best minds build the foundations for the future. If you’ve ever dreamed of engineering systems that enable breakthroughs in AI and robotics, this is your arena.

Profile: Sr. Devops Engineer

Location: Gurugram

Experience: 05+ Years

Notice Period: can join Immediate to 1 week

Company: Watsoo

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of proven hands-on DevOps experience.
• Strong experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.).
• Expertise in containerization & orchestration (Docker, Kubernetes, Helm).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
• Experience with monitoring and logging solutions (Prometheus, Grafana, ELK, CloudWatch, etc.).
• Proficiency in scripting languages (Python, Bash, or Shell).
• Knowledge of networking, security, and system administration.
• Strong problem-solving skills and ability to work in fast-paced environments.
• Troubleshoot production issues, perform root cause analysis, and implement preventive measures.

Advocate DevOps best practices, automation, and continuous improvement

Experience: 5-8 years of professional experience in software engineering, with a strong

background in developing and deploying scalable applications.

● Technical Skills:

○ Architecture: Demonstrated experience in architecture/ system design for scale,

preferably as a digital public good

○ Full Stack: Extensive experience with full-stack development, including mobile

app development and backend technologies.

○ App Development: Hands-on experience building and launching mobile

applications, preferably for Android.

○ Cloud Infrastructure: Familiarity with cloud platforms and containerization

technologies (Docker, Kubernetes).

○ (Bonus) ML Ops: Proven experience with ML Ops practices and tools.

● Soft Skills:

○ Experience in hiring team members

○ A proactive and independent problem-solver, comfortable working in a fast-paced

environment.

○ Excellent communication and leadership skills, with the ability to mentor junior

engineers.

○ A strong desire to use technology for social good.

Preferred Qualifications

● Experience working in a startup or smaller team environment.

● Familiarity with the healthcare or public health sector.

● Experience in developing applications for low-resource environments.

● Experience with data management in privacy and security-sensitive applications.

Experience: 5-8 years of professional experience in software engineering, with a strong

background in developing and deploying scalable applications.

● Technical Skills:

○ Architecture: Demonstrated experience in architecture/ system design for scale,

preferably as a digital public good

○ Full Stack: Extensive experience with full-stack development, including mobile

app development and backend technologies.

○ App Development: Hands-on experience building and launching mobile

applications, preferably for Android.

○ Cloud Infrastructure: Familiarity with cloud platforms and containerization

technologies (Docker, Kubernetes).

○ (Bonus) ML Ops: Proven experience with ML Ops practices and tools.

● Soft Skills:

○ Experience in hiring team members

○ A proactive and independent problem-solver, comfortable working in a fast-paced

environment.

○ Excellent communication and leadership skills, with the ability to mentor junior

engineers.

○ A strong desire to use technology for social good.

Preferred Qualifications

● Experience working in a startup or smaller team environment.

● Familiarity with the healthcare or public health sector.

● Experience in developing applications for low-resource environments.

● Experience with data management in privacy and security-sensitive applications.

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

Strong experience with AWS Cloud Services – EKS, S3, DynamoDB, IAM.

Proficiency in Terraform for Infrastructure-as-Code (IaC).

Solid experience in CI/CD pipeline creation using Jenkins and Harness.

Hands-on experience with Kubernetes (EKS) and microservices deployments.

Proficient in scripting languages – Groovy, PowerShell, Bash.

Working knowledge of Bitbucket, JFrog, and SonarQube.

Good understanding of DevSecOps and cloud security practices.

Job Title: DevOps Engineer

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

Responsibilities:

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

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

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

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

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

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

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

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

Troubleshoot and resolve infrastructure and deployment-related issues.

Required Skills:

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

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

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

Containers: Docker (Kubernetes preferred)

Scripting: Bash, Python

Version Control: Git, GitHub, GitLab

Web Servers: Apache, Nginx (preferred)

Databases: MySQL, MongoDB (preferred)

Qualifications:

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

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

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

Experience with infrastructure monitoring, logging, and performance optimization.

Familiarity with agile and collaborative development processes.

Dear Candidate

Looking for Telecom Advance Support Engineer (PSO)

If this opportunity hits you Kindly revert.

Job Description:

3+ years’ experience working as a support engineer / Network Engineer /deployment Engineer/ Solutions Engineer/integration Engineer in the telecom deployment industry. 

■ BE/ B.Sc. in CS, EE, Telecommunications graduate with honors from an elite university – (70%- 90% depending on the colleges. Delhi university a plus).

■ Telecom Knowledge (IMS, 4G) - Mandatory.

■ Linux OS, SQL knowledge – Mandatory. Vertica DB, scripting - a plus.

■ Open stack / Cloud based infrastructure (OpenStack/Kubernetes), knowledge is a plus

■ Be available to work off business hours to address critical matters/situations based on Radcom’s on-call support model

■ Willing to work in evening and night shifts and Weekend.

■ Fluent English – Mandatory

■ Valid passport 

Visible to teammates 

Add private requirements that your team and AI Resume Review will use to evaluate candidates. 

Public: Show on job boards 

■ Based in RADCOM India offices, Delhi, India. 

■ Responsible for all the technical support aspects required by the client for RADCOM’s solutions, including integration, deployment, and customization of applications; and KPI reports for individual customer needs.

■ Support and deployment of Radcom’s solution at cloud-based customer environments (case to case basis)

■ Having very good customer interaction interface and able to drive customer calls independently.

■ Able to drive and deliver internal customer small project - end to end handling along with taking care of all internal required communications.

■ Working closely with the management on customer updates and future plan

■ Daily maintenance and problem resolution, System patches and software upgrades, and routine system configuration

■ Identifies, diagnoses, and resolves issues related to System with good troubleshooting and root cause finding.

■ If required: travel to on-site support outside India, training, installation, and configuration, etc

Thanks & Regards

Shreya Tiwari

Technical Recruiter - HR

RADCOM

Role Summary

We are hiring a Senior Java Developer with strong backend development experience to build scalable, high-performance applications and lead technical initiatives.

Key Responsibilities

• Develop and maintain applications using Java 8/11/17, Spring Boot, and REST APIs.
• Design and implement microservices and backend components.
• Work with SQL/NoSQL databases, API integrations, and performance optimization.
• Collaborate with cross-functional teams and participate in code reviews.
• Deploy applications using CI/CD, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).

Skills Required

• Strong in Core Java, OOPS, multithreading, collections.
• Hands-on with Spring Boot, Hibernate/JPA, Microservices.
• Experience with REST APIs, Git, and CI/CD pipelines.
• Knowledge of Docker/Kubernetes and cloud basics.
• Good understanding of database queries and performance tuning.

Nice to Have

• Experience with messaging systems (Kafka/RabbitMQ).
• Basic frontend understanding (React/Angular).

About Us:

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

Key Responsibilities

CI/CD and Infrastructure Automation

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

Cloud and On-Prem Infrastructure Management

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

Performance Monitoring and Optimization

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

Security and Compliance

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

Required Skills and Qualifications

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

Good to Have (Optional)

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

Why Join Us?

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

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

The ideal candidate will play a key role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and high-performance data and analytics solutions. This role requires strong expertise in Azure, Databricks, and cloud-native DevOps practices.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
• Implement best practices across resource groups, virtual networks, storage accounts, etc.
• Ensure cost optimization, high availability, and disaster recovery for business-critical systems.

2. Databricks Platform Management

• Set up, configure, and maintain Databricks workspaces for data engineering, ML, and analytics workloads.
• Automate cluster management, job scheduling, and performance monitoring.
• Integrate Databricks seamlessly with Azure data and analytics services.

3. CI/CD Pipeline Development

• Design and implement CI/CD pipelines for infrastructure, applications, and data workflows.
• Work with Azure DevOps / GitHub Actions (or similar) for automated testing and deployments.
• Drive continuous delivery, versioning, and monitoring best practices.

4. Monitoring & Incident Management

• Implement monitoring and alerting with Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
• Diagnose and resolve issues to ensure minimal downtime and smooth operations.

5. Security & Compliance

• Enforce IAM, encryption, network security, and secure development practices.
• Ensure compliance with organizational and regulatory cloud standards.

6. Collaboration & Documentation

• Work closely with data engineers, software developers, architects, and business teams to align infrastructure with business goals.
• Maintain thorough documentation for infrastructure, processes, and configurations.

Required Qualifications

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

Must-Have Experience

• 6+ years in DevOps / Cloud Engineering roles.
• Proven expertise in:
• Microsoft Azure (Azure Data Lake, Databricks, ADF, Azure Functions, AKS, Azure AD)
• Databricks for data engineering / analytics workloads.
• Strong experience applying DevOps practices to cloud-based data and analytics platforms.

Technical Skills

• Infrastructure as Code (Terraform, ARM, Bicep).
• Scripting (Python / Bash).
• Containerization & orchestration (Docker, Kubernetes).
• CI/CD & version control (Git, Azure DevOps, GitHub Actions).

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and collaboration abilities.
• Ability to operate in cross-functional and fast-paced environments.

DevOps Engineer (1–2 Years Experience)

Job Description

We are seeking a motivated and enthusiastic DevOps Engineer with 1–2 years of hands-on experience in cloud and DevOps technologies. The ideal candidate will work closely with development and operations teams to support, automate, and optimize the deployment pipeline, cloud infrastructure, and application performance across AWS and Azure environments.

Roles & Responsibilities

• Deploy, manage, and monitor applications in AWS and Azure cloud environments.
• Work with Linux-based systems to ensure reliable performance, configuration, and maintenance.
• Build and maintain CI/CD pipelines using modern DevOps tools (GitHub Actions, GitLab CI, Jenkins, etc.).
• Create and maintain containerized applications using Docker.
• Assist in implementing IaC (Infrastructure as Code) and automation processes.
• Troubleshoot infrastructure, deployment, and application-related issues.
• Collaborate with development teams to enable smooth DevOps processes.
• Write scripts using Bash or Python to automate routine operational tasks.
• Participate in continuous improvement of deployment reliability and scalability.

Required Skills

• 1–2 years of hands-on experience in DevOps or Cloud Engineering.
• Practical working knowledge of AWS and Azure cloud services.
• Strong understanding and experience with Linux operating systems.
• Experience using Docker, Git, and CI/CD pipeline tools.
• Basic knowledge of Kubernetes concepts (pods, deployments, services).
• Ability to write automation scripts using Bash or Python.
• Strong analytical thinking, problem-solving, and troubleshooting skills.

Good to Have Skills

• Experience with Terraform or other Infrastructure-as-Code tools.
• Familiarity with monitoring and logging tools (Prometheus, Grafana, CloudWatch, ELK, etc.).
• Understanding of networking fundamentals (TCP/IP, DNS, load balancing, routing).
• Exposure to microservices architecture and container orchestration concepts.

Job Type

• Full-time

Location

• On-site

Salary

• As per industry standards

Location: Bengalore, India, Exp: 3-5 Yrs

Backend Developer (Golang) - Trading & Fintech

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What we expect:

 You should already be exceptional at Golang. If you need hand-holding, this isn’t the place for you.

 You thrive on challenges, not on perks or financial rewards.

 You measure success by your own growth, not external validation.

 Taking calculated risks excites you—you’re here to build, break, and learn.

 You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading environment.

 You understand the stakes—milliseconds can make or break trades, and precision is everything.

What you will do:

 Develop and optimize high-performance backend systems in Golang for trading platforms and financial services.

 Architect low-latency, high-throughput microservices that push the boundaries ofspeed and efficiency.

 Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

 Own your work—no babysitting, no micromanagement.

 Work alongside equally driven engineers who expect nothing less than brilliance.

Must have skills:

 Learn faster than you ever thought possible.

 Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

 Deep understanding of concurrency, memory management, and system design.

 Experience with Trading, market data processing, or low-latency systems.

 Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing.

 Hands-on with Docker, Kubernetes, and CI/CD pipelines.

 A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

 Past experience in fintech, trading systems, or algorithmic trading.

 Contributions to open-source Golang projects.

 A history of building something impactful from scratch.

 Understanding of FIX protocol, WebSockets, and streaming APIs.

Why Join Us?

 Work with a team that expects and delivers excellence.

 A culture where risk-taking is rewarded, and complacency is not.

 Limitless opportunities for growth—if you can handle the pace.

 A place where learning is currency, and outperformance is the only metric that matters.

The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech. This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

About the Role

We’re looking for an Elixir Developer who is passionate about building scalable, high performance backend systems. You’ll work closely with our engineering team to design, develop, and maintain reliable applications that power mission-critical systems.

Key Responsibilities

• Develop and maintain backend services using Elixir and Phoenix framework.

• Build scalable, fault-tolerant, and distributed systems.

• Integrate APIs, databases, and message queues for real-time applications.

• Optimize system performance and ensure low latency and high throughput.

• Collaborate with frontend, DevOps, and product teams to deliver seamless solutions.

• Write clean, maintainable, and testable code with proper documentation.

• Participate in code reviews, architectural discussions, and deployment automation.

Required Skills & Experience

• 2–4 years of hands-on experience in Elixir (or strong functional programming background).

• Experience with Phoenix, Ecto, and RESTful API development.

• Solid understanding of OTP (Open Telecom Platform) concepts like GenServer, Supervisors, etc.

• Proficiency in PostgreSQL, Redis, or similar databases.

• Familiarity with Docker, Kubernetes, or cloud platforms (AWS/GCP/Azure).

• Understanding of CI/CD pipelines, version control (Git), and agile development.

Good to Have

• Experience with microservices architecture or real-time data systems.

• Knowledge of GraphQL, LiveView, or PubSub.

• Exposure to performance profiling, observability, or monitoring tools.

Strong Software Engineer, Engineering Manager Profiles

Mandatory (Experience) – Must have minimum 4+ years of hands on experience in software development

Mandatory (Tech Skillset) – Must have 3+ years of hands-on experience in backend development using Java / Node.js / Go / Python (any 1) OR 3+ YOE in frontend Development using React / Angular / Vue (any 1)

Mandatory (Mentoring Skillset) – Must have at least 1+ year of experience leading or mentoring a team of software engineers.

Mandatory (Tech Skills) – Must have a solid understanding of microservices architecture, APIs, and cloud platforms (AWS / GCP / Azure).

Mandatory (DevOps Skillset) – Must have hands-on experience working with Docker, Kubernetes, and CI/CD pipelines.

Mandatory (Company) – Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)

Mandatory (Education) – Undergraduation from Tier-1 Engineering College (IIT, BITS, IIIT, NSUT, DTU, etc.)

Mandatory (Note): No hire policy from Sprinklr

Role: Azure AI Tech Lead

Exp-3.5-7 Years

Location: Remote / Noida (NCR)

Notice Period: Immediate to 15 days

Mandatory Skills: Python, Azure AI/ML, PyTorch, TensorFlow, JAX, HuggingFace, LangChain, Kubeflow, MLflow, LLMs, RAG, MLOps, Docker, Kubernetes, Generative AI, Model Deployment, Prometheus, Grafana

JOB DESCRIPTION

As the Azure AI Tech Lead, you will serve as the principal technical expert leading the design, development, and deployment of advanced AI and ML solutions on the Microsoft Azure platform. You will guide a team of engineers, establish robust architectures, and drive end-to-end implementation of AI projects—transforming proof-of-concepts into scalable, production-ready systems.

Key Responsibilities:

• Lead architectural design and development of AI/ML solutions using Azure AI, Azure OpenAI, and Cognitive Services.
• Develop and deploy scalable AI systems with best practices in MLOps across the full model lifecycle.
• Mentor and upskill AI/ML engineers through technical reviews, training, and guidance.
• Implement advanced generative AI techniques including LLM fine-tuning, RAG systems, and diffusion models.
• Collaborate cross-functionally to translate business goals into innovative AI solutions.
• Enforce governance, responsible AI practices, and performance optimization standards.
• Stay ahead of trends in LLMs, agentic AI, and applied research to shape next-gen solutions.

Qualifications:

• Bachelor’s or Master’s in Computer Science or related field.
• 3.5–7 years of experience delivering end-to-end AI/ML solutions.
• Strong expertise in Azure AI ecosystem and production-grade model deployment.
• Deep technical understanding of ML, DL, Generative AI, and MLOps pipelines.
• Excellent analytical and problem-solving abilities; applied research or open-source contributions preferred.

We are looking for highly experienced Senior Java Developers who can architect, design, and deliver high-performance enterprise applications using Spring Boot and Microservices . The role requires a strong understanding of distributed systems, scalability, and data consistency.

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

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, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (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 Sage maker 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)

Job Description:

Infilect is a GenAI company pioneering the use of Image Recognition in Consumer Packaged Goods retail.

We are looking for a Senior DevOps Engineer to be responsible and accountable for the smooth running of our Cloud, AI workflows, and AI-based Computer Systems. Furthermore, the candidate will supervise the implementation and maintenance of the company’s computing needs including the in-house GPU & AI servers along with AI workloads.

Responsibilities

• Understanding and automating AI based deployment an AI based workflows
• Implementing various development, testing, automation tools, and IT infrastructure
• Manage Cloud, computer systems and other IT assets.
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Design, develop, implement, and coordinate systems, policies, and procedures for Cloud and on-premise systems
• Ensure the security of data, network access, and backup systems
• Act in alignment with user needs and system functionality to contribute to organizational policy
• Identify problematic areas, perform RCA and implement strategic solutions in time
• Preserve assets, information security, and control structures
• Handle monthly/annual cloud budget and ensure cost effectiveness

Requirements and skills

• Well versed in automation tools such as Docker, Kubernetes, Puppet, Ansible etc.
• Working Knowledge of Python, SQL database stack or any full-stack with relevant tools.
• Understanding agile development, CI/CD, sprints, code reviews, Git and GitHub/Bitbucket workflows
• Well versed with ELK stack or any other logging, monitoring and analysis tools
• Proven working experience of 2+ years as an DevOps/Tech lead/IT Manager or relevant positions
• Excellent knowledge of technical management, information analysis, and of computer hardware/software systems
• Hands-on experience with computer networks, network administration, and network installation
• Knowledge in ISO/SOC Type II implementation with be a 
• BE/B.Tech/ME/M.Tech in Computer Science, IT, Electronics or a similar field

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.

What We Expect:

• You should already be exceptional at Backend. If you need hand-holding, this isn’t the place for you.

• You thrive on challenges, not on perks or financial rewards.

• You measure success by your own growth, not external validation.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a pay check; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and optimize high-performance backend systems in for trading platforms and financial services.

• Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency.

• Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

• Own your work—no babysitting, no micromanagement.

• Work alongside equally driven engineers who expect nothing less than brilliance.

• Learn faster than you ever thought possible.

Must-Have Skills:

• Proven expertise in Backend (if you need to prove yourself, this isn’t the role for you).

• Deep understanding of concurrency, memory management, and system design.

• Experience with Trading, market data processing, or low-latency systems.

• Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing.

• Hands-on with Docker, Kubernetes, and CI/CD pipelines.

• A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Contributions to open-source projects.

• A history of building something impactful from scratch.

• Understanding of FIX protocol, WebSockets, and streaming APIs.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.

Type: Client-Facing Technical Architecture, Infrastructure Solutioning & Domain Consulting (India + International Markets)

Role Overview

Tradelab is seeking a senior Solution Architect who can interact with both Indian and international clients (Dubai, Singapore, London, US), helping them understand our trading systems, OMS/RMS/CMS stack, HFT platforms, feed systems, and Matching Engine. The architect will design scalable, secure, and ultra-low-latency deployments tailored to global forex markets, brokers, prop firms, liquidity providers, and market makers.

Key Responsibilities

1. Client Engagement (India + International Markets)

• Engage with brokers, prop trading firms, liquidity providers, and financial institutions across India, Dubai, Singapore, and global hubs.
• Explain Tradelab’s capabilities, architecture, and deployment options.
• Understand region-specific latency expectations, connectivity options, and regulatory constraints.

2. Requirement Gathering & Solutioning

• Capture client needs, throughput, order concurrency, tick volumes, and market data handling.
• Assess infra readiness (cloud/on-prem/colo).
• Propose architecture aligned with forex markets.

3. Global Architecture & Deployment Design

• Design multi-region infrastructure using AWS/Azure/GCP.
• Architect low-latency routing between India–Singapore–Dubai.
• Support deployments in DCs like Equinix SG1/DX1.

4. Networking & Security Architecture

• Architect multicast/unicast feeds, VPNs, IPSec tunnels, BGP routes.
• Implement network hardening, segmentation, WAF/firewall rules.

5. DevOps, Cloud Engineering & Scalability

• Build CI/CD pipelines, Kubernetes autoscaling, cost-optimized AWS multi-region deployments.
• Design global failover models.

6. BFSI & Trading Domain Expertise

• Indian broking, international forex, LP aggregation, HFT.
• OMS/RMS, risk engines, LP connectivity, and matching engines.

7. Latency, Performance & Capacity Planning

• Benchmark and optimize cross-region latency.
• Tune performance for high tick volumes and volatility bursts.

8. Documentation & Consulting

• Prepare HLDs, LLDs, SOWs, cost sheets, and deployment of playbooks.
• Required Skills
• AWS: EC2, VPC, EKS, NLB, MSK/Kafka, IAM, Global Accelerator.
• DevOps: Kubernetes, Docker, Helm, Terraform.
• Networking: IPSec, GRE, VPN, BGP, multicast (PIM/IGMP).
• Message buses: Kafka, RabbitMQ, Redis Streams.

Domain Skills

• Deep Broking Domain Understanding.
• Indian broking + global forex/CFD.
• FIX protocol, LP integration, market data feeds.
• Regulations: SEBI, DFSA, MAS, ESMA.

Soft Skills

• Excellent communication and client-facing ability.
• Strong presales and solutioning mindset.
• Preferred Qualifications
• B.Tech/BE/M.Tech in CS or equivalent.
• AWS Architect Professional, CCNP, CKA.

Why Join Us?

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

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

Review Criteria

• Strong Senior/Lead DevOps Engineer Profile
• 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
• Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
• Solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
• Good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
• Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
• Its an IC role

Preferred

• Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
• Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
• Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Role & Responsibilities

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.

Key Responsibilities:

Cloud & Infrastructure as Code (IaC)-

• Architect and manage AWS environments ensuring scalability, security, and high availability.
• Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
• Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.

CI/CD & Automation:

• Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
• Automate deployments, provisioning, and monitoring across environments.

Containers & Orchestration:

• Deploy and operate workloads on Docker and Kubernetes (EKS).
• Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
• Optimize performance of containerized and microservices applications.

Monitoring & Reliability:

• Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Establish logging, alerting, and proactive monitoring for high availability.

Security & Compliance:

• Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
• Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
• Configure VPNs, firewalls, and secure access policies and AWS organizations.

Databases & Analytics:

• Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Manage data reliability, performance tuning, and cloud-native integrations.
• Experience with Apache Airflow and Spark.

Ideal Candidate

• 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
• Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
• Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
• Proven ability with CI/CD pipeline automation and DevSecOps practices.
• Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
• Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Strong scripting skills (Shell/bash, Python, or similar) for automation.
• Bachelor / Master’s degree
• Effective communication skills

Job Title : DevOps Engineer – Fintech (Product-Based)

Experience : 5+ Years

Location : Mumbai

Job Type : Full-Time | Product Company

Role Summary :

We are hiring a DevOps Engineer with strong product-based experience to manage infrastructure for a Fintech platform built on stateful microservices.

The role involves working across hybrid cloud + on-prem, with deep expertise in Kubernetes, Helm, GitOps, IaC, and Cloud Networking.

Mandatory Skills :

Product-based experience, deep Kubernetes (managed & self-managed), custom Helm Chart development, ArgoCD/FluxCD (GitOps), strong AWS/Azure cloud networking & security, IaC module development (Terraform/Pulumi/CloudFormation), experience with stateful microservices (DBs/queues/caches), multi-tenant deployments, HA/load balancing/SSL/TLS/cert management.

Key Responsibilities :

• Deploy and manage stateful microservices in production.
• Handle both managed & self-managed Kubernetes clusters.
• Develop and maintain custom Helm Charts.
• Implement GitOps pipelines using ArgoCD/FluxCD.
• Architect and operate secure infra on AWS/Azure (VPC, IAM, networking).
• Build reusable IaC modules using Terraform/CloudFormation/Pulumi.
• Design multi-tenant cluster deployments.
• Manage HA, load balancers, certificates, DNS, and networking.

Mandatory Skills :

• Product-based company experience.
• Strong Kubernetes (EKS/AKS/GKE + self-managed).
• Custom Helm Chart development.
• GitOps tools : ArgoCD/FluxCD.
• AWS/Azure cloud networking & security.
• IaC module development (Terraform/Pulumi/CloudFormation).
• Experience with stateful components (DBs, queues, caches).
• Understanding of multi-tenant deployments, HA, SSL/TLS, ingress, LB.

Job Title: Senior Devops Engineer (Full-time)

Location: Mumbai, Onsite

Experience Required: 5+ Years

Job Description

We are seeking an experienced DevOps Engineer to build and manage infrastructure for a FinTech product company operating with stateful microservices. The deployment environments include hybrid cloud and on-premise setups. The ideal candidate must have strong production experience with Kubernetes, cloud platforms, and infrastructure automation.

Key Responsibilities

• Design, build, and manage infrastructure for stateful microservices (databases, queues, caching layers).
• Work on Kubernetes environments—both managed (EKS/AKS/GKE) and self-managed clusters.
• Build, enhance, and maintain custom Helm Charts for complex deployments.
• Set up and manage CI/CD pipelines using ArgoCD, FluxCD, or similar GitOps tools.
• Architect and optimize multi-tenant deployment models.
• Implement and manage high availability, load balancing, certificate management (SSL/TLS).
• Design deployment architectures based on business requirements.
• Manage cloud infrastructure on AWS/Azure including VPC, IAM, cloud networking, and security.
• Work with Infrastructure-as-Code (IaC) tools (Terraform/CloudFormation/Pulumi), including writing reusable modules.
• Monitor, troubleshoot, and optimize performance across production environments.
• Ensure security best practices in networking, access control, and secrets management.

Mandatory Skills

• 5+ years of DevOps experience in product-based companies (not services/consulting).
• Strong hands-on experience with stateful microservices in production.
• Deep expertise in Kubernetes (managed + self-managed).
• Strong ability to write custom Helm Charts.
• Experience with multi-tenant production environments.
• Expertise in AWS or Azure (cloud networking, IAM, VPC, security groups, etc.).
• Experience setting up GitOps-based CI/CD (ArgoCD/FluxCD).
• Strong understanding of HA, load balancing, DNS, SSL/TLS certificates.
• Ability to justify architectural decisions and propose deployment designs.
• Hands-on experience with IaC tools and writing custom Terraform/Pulumi modules.

Nice to Have

• Exposure to hybrid cloud deployments
• Knowledge of on-premise orchestration & networking
• Experience with service mesh (e.g., Istio, Linkerd)
• Experience with monitoring/logging tools (Prometheus, Grafana, Loki, ELK)

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed.

About the Company

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

Position Summary

We are seeking a highly experienced and visionary Senior Engineering Manager – Inference Services to lead and scale our team responsible for building high-performance inference systems that power cutting-edge AI/ML products. This role requires a blend of strong technical expertise, leadership skills, and product-oriented thinking to drive innovation, scalability, and reliability of our inference infrastructure.

Key Responsibilities

Leadership & Strategy

• Lead, mentor, and grow a team of engineers focused on inference platforms, services, and optimizations.
• Define the long-term vision and roadmap for inference services in alignment with product and business goals.
• Partner with cross-functional leaders in ML, Product, Data Science, and Infrastructure to deliver robust, low-latency, and scalable inference solutions.

Engineering Excellence

• Architect and oversee development of distributed, production-grade inference systems ensuring scalability, efficiency, and reliability.
• Drive adoption of best practices for model deployment, monitoring, and continuous improvement of inference pipelines.
• Ensure high availability, cost optimization, and performance tuning of inference workloads across cloud and on-prem environments.

Innovation & Delivery

• Evaluate emerging technologies, frameworks, and hardware accelerators (GPUs, TPUs, etc.) to continuously improve inference efficiency.
• Champion automation and standardization of model deployment and lifecycle management.
• Balance short-term delivery with long-term architectural evolution.

People & Culture

• Build a strong engineering culture focused on collaboration, innovation, and accountability.
• Provide coaching, feedback, and career development opportunities to team members.
• Foster a growth mindset and data-driven decision-making.

Basic Qualifications

Experience

• 12+ years of software engineering experience with at least 4–5 years in engineering leadership roles.
• Proven track record of managing high-performing teams delivering large-scale distributed systems or ML platforms.
• Experience in building and operating inference systems, ML serving platforms, or real-time data systems at scale.

Technical Expertise

• Strong understanding of machine learning model deployment, serving, and optimization (batch & real-time).
• Proficiency in cloud-native technologies (Kubernetes, Docker, microservices architecture).
• Hands-on knowledge of inference frameworks (TensorFlow Serving, Triton Inference Server, TorchServe, etc.) and hardware accelerators.
• Solid background in programming languages (Python, Java, C++ or Go) and performance optimization techniques.

Preferred Qualifications

• Experience with MLOps platforms and end-to-end ML lifecycle management.
• Prior work in high-throughput, low-latency systems (ad-tech, search, recommendations, etc.).
• Knowledge of cost optimization strategies for large-scale inference workloads.

About the Job

This is a full-time role for a Lead DevOps Engineer at Spark Eighteen. We are seeking an experienced DevOps professional to lead our infrastructure strategy, design resilient systems, and drive continuous improvement in our deployment processes. In this role, you will architect scalable solutions, mentor junior engineers, and ensure the highest standards of reliability and security across our cloud infrastructure. The job location is flexible with preference for the Delhi NCR region.

Responsibilities

• Lead and mentor the DevOps/SRE team
• Define and drive DevOps strategy and roadmaps
• Oversee infrastructure automation and CI/CD at scale
• Collaborate with architects, developers, and QA teams to integrate DevOps practices
• Ensure security, compliance, and high availability of platforms
• Own incident response, postmortems, and root cause analysis
• Budgeting, team hiring, and performance evaluation

Requirements

Technical Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of professional DevOps experience with demonstrated progression.
• Strong architecture and leadership background
• Deep hands-on knowledge of infrastructure as code, CI/CD, and cloud
• Proven experience with monitoring, security, and governance
• Effective stakeholder and project management
• Experience with tools like Jenkins, ArgoCD, Terraform, Vault, ELK, etc.
• Strong understanding of business continuity and disaster recovery

Soft Skills

• Cross-functional communication excellence with ability to lead technical discussions.
• Strong mentorship capabilities for junior and mid-level team members.
• Advanced strategic thinking and ability to propose innovative solutions.
• Excellent knowledge transfer skills through documentation and training.
• Ability to understand and align technical solutions with broader business strategy.
• Proactive problem-solving approach with focus on continuous improvement.
• Strong leadership skills in guiding team performance and technical direction.
• Effective collaboration across development, QA, and business teams.
• Ability to make complex technical decisions with minimal supervision.
• Strategic approach to risk management and mitigation.

What We Offer

• Professional Growth: Continuous learning opportunities through diverse projects and mentorship from experienced leaders
• Global Exposure: Work with clients from 20+ countries, gaining insights into different markets and business cultures
• Impactful Work: Contribute to projects that make a real difference, with solutions generating over $1B in revenue
• Work-Life Balance: Flexible arrangements that respect personal wellbeing while fostering productivity
• Career Advancement: Clear progression pathways as you develop skills within our growing organization
• Competitive Compensation: Attractive salary packages that recognize your contributions and expertise

Our Culture

At Spark Eighteen, our culture centers on innovation, excellence, and growth. We believe in:

• Quality-First: Delivering excellence rather than just quick solutions
• True Partnership: Building relationships based on trust and mutual respect
• Communication: Prioritizing clear, effective communication across teams
• Innovation: Encouraging curiosity and creative approaches to problem-solving
• Continuous Learning: Supporting professional development at all levels
• Collaboration: Combining diverse perspectives to achieve shared goals
• Impact: Measuring success by the value we create for clients and users

Apply Here - https://tinyurl.com/t6x23p9b

The Role

As a Senior Clojure Engineer, you’ll play a pivotal role in developing and enhancing our clients eDiscovery SaaS platform. You’ll be involved in the entire product lifecycle—designing, developing, deploying, and maintaining new and existing features. This position requires someone who is hands-on, operates independently, and communicates effectively in a remote-first environment.

Responsibilities:

• Build and maintain tools and workflows for our platform, including UX, file upload, search engine, and GraphQL.
• Write functional, secure, and scalable front-end and back-end code.
• Collaborate with the support team to deliver exceptional user experiences.
• Ensure code quality through automated testing, functional testing, and peer reviews.
• Contribute to architectural decisions and technical strategies.
• Communicate regularly via Slack and Zoom to stay aligned with the team.

Why Join Us?

• Impactful Work: Your contributions directly influence our platform and customers.
• No Red Tape: A lean team with no unnecessary meetings or micromanagement.

Is This Role for You?

• You are patient, empathetic, and customer-focused.
• You are self-motivated and can work independently without micromanagement.
• You excel at clear communication, proactively updating progress, and reaching out when stuck.

Qualifications and skills we are looking for

• At least 5 years of experience in web development.
• Proficient with Clojure and Clojurescript
• Experience/Proficiency with frontend frameworks in Clojurescript especially reagent/re-frame.
• Experience/Proficiency with React and Typescript.
• Familiarity with HTML and CSS and associated frameworks like Tailwind CSS.
• Preferred: Experience with Java, Linux, Kubernetes and Docker.
• Strong problem-solving abilities, excellent communication skills, and a collaborative mindset.
• Ability to grok existing code and adopt its style..
• Security-conscious mindset.

How to Apply

If you’re excited to solve challenging problems, deliver impactful solutions, and join a fast-growing team, we’d love to hear from you!

JD for Cloud engineer

Job Summary:

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

• Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
• Implement Google Cloud Storage, Cloud SQL, filestore,  for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash and Powershell scripting
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

We are seeking a highly skilled Full Stack Developer with strong proficiencyi n Node.js, React.js, and modern database design principles. The ideal candidate will be responsible for designing, developing, testing, and deploying scalable web applications that deliver exceptional user experiences and robust backend performance.

Key Responsibilities

• Participate in end-to-end product development — from

conceptualization to deployment and support.

• Design and develop RESTful and GraphQL APIs using Node.js and frameworks such as Express or NestJS.
• Build and maintain responsive front-end interfaces using React.js, HTML5, CSS3, and modern libraries like Redux or React Query.
• Architect, create, and maintain database schemas, relationships, and efficient data models in PostgreSQL or MySQL.
• Optimize queries, indexes, and data access patterns for performance and scalability.
• Implement and maintain observability and monitoring using tools such as Prometheus and Grafana.
• Troubleshoot and debug API issues, backend bottlenecks, and production incidents effectively.
• Write automated unit, integration, and end-to-end tests to ensure high code quality.
• Collaborate with cross-functional teams (Product, QA, DevOps, Design, Data) to ship high-impact features.
• Deploy and manage applications on AWS, Azure, or GCP using CI/CD pipelines and container technologies such as Docker and Kubernetes.
• Contribute to code reviews, maintain best practices in software design, and ensure adherence to coding standards.
• Continuously explore and learn emerging technologies to improve efficiency and scalability.
• Demonstrate problem-solving skills through debugging, performance tuning, and design optimization.

Technical Skills & Requirements

• 5+ years of hands-on experience in full stack development.
• Strong proficiency in:
• Backend: Node.js (Express.js, NestJS)
• Frontend: React.js, Next.js, Redux/Context API
• Database: PostgreSQL / MySQL (schema design, indexing, joins, and data type optimization)
• API: REST and GraphQL design, implementation, and security.
• Proficient in JavaScript (ES6+), TypeScript, and asynchronous programming.
• Experience with Git, Yarn/NPM, and Visual Studio Code or equivalent tools.
• Familiarity with observability, logging, and tracing concepts — using tools such as Grafana & Prometheus.
• Knowledge of cloud services (AWS, GCP, Azure) including compute, storage, and managed databases.
• Understanding of CI/CD pipelines, Docker, and Kubernetes for modern deployments.
• Strong grasp of software design patterns, system architecture, and scalability principles.
• Excellent problem-solving, debugging, and analytical abilities.

Preferred Skills

• Experience with microservices architecture or event-driven systems.
• Exposure to Kafka, Redis, or message queues.
• Familiarity with automated testing frameworks (Jest, Cypress, Mocha).
• Understanding of security best practices (JWT, OAuth, HTTPS, CORS).

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.
• Typically 5–7 years of relevant experience in software development.
• Demonstrated experience working in an Agile or Scrum environment.

Soft Skills

• Strong communication and collaboration skills.
• Self-motivated, quick learner, and capable of working autonomously.
• Passionate about writing clean, maintainable, and efficient code.
• Curious about new technologies and approaches to problem-solving.

Required Skills & Qualifications:

✔ Experience: 4+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

About Us: The Next Generation of WealthTech  

We're Cambridge Wealth, an award-winning force in mutual fund distribution and Fintech. We're not just moving money; we're redefining wealth management for everyone from retail investors to ultra-HNIs (including the NRI segment). Our brand is synonymous with excellence, backed by accolades from the BSE and top Mutual Fund houses.

If you thrive on building high-performance, scalable systems that drive real-world financial impact, you'll feel right at home. Join us in Pune to build the future of finance.

[Learn more: www.cambridgewealth.in]

The Role: Engineering Meets Team Meets Customer

We're looking for an experienced, hands-on Tech Catalyst to accelerate our product innovation. This isn't just a coding job; it's a chance to blend deep backend expertise with product strategy. You will be the engine driving rapid, data-driven product experiments, leveraging AI and Machine Learning to create smart, personalized financial solutions. You'll lead by example, mentoring a small, dedicated team and ensuring technical excellence and rapid deployment in the high-stakes financial domain.

Key Impact Areas: Ship Fast, Break Ground  

1. Backend & AI/ML Innovation  

• Rapid Prototyping: Design and execute quick, iterative experiments to validate new features and market hypotheses, moving from concept to production in days, not months.
• AI-Powered Features: Build scalable Python-based backend services that integrate AI/ML models to enhance customer profiling, portfolio recommendation, and risk analysis.
• System Architecture: Own the performance, stability, and scalability of our core fintech platform, implementing best practices in modern backend development.

2. Product Leadership & Execution  

• Agile Catalyst: Drive and optimize Agile sprints, ensuring clear technical milestones, efficient resource allocation, backlog grooming and maintaining a laser focus on preventing scope creep.
• Mentorship & Management: Provide technical guidance and mentorship to a team of developers, fostering a culture of high performance, code quality, and continuous learning.
• Domain Alignment: Translate complex financial requirements and market insights into precise, actionable technical specifications and seamless user stories.
• Problem Solver: Proactively identify and resolve technical and process bottlenecks, acting as the ultimate problem solver for the engineering and product teams.

3. Financial Domain Expertise  

• High-Value Delivery: Apply deep knowledge of the mutual fund and broader fintech landscape to inform product decisions, ensuring our solutions are compliant, competitive, and truly valuable to our clients.
• Risk & Security: Proactively architect solutions with security and financial risk management baked in from the ground up, protecting client data and assets.

Your Tech Stack & Experience  

The Must-Haves  

• Mindset: A verifiable track record as a proactive First Principle Problem Solver with an intense Passion to Ship production-ready features frequently.
• Customer Empathy: Keeps the customer's experience in mind at all times.
• Team Leadership: Experience in leading, mentoring, or managing a small development team, driving technical excellence and project delivery.
• Systems Thinker: Diagnoses and solves problems by viewing the organization as an interconnected system to anticipate broad impacts and develop holistic, strategic solutions.
• Backend Powerhouse: 2+ years of professional experience with a strong focus on backend development.
• Python Guru: Expert proficiency in Python and related frameworks (e.g., Django, Flask) for building robust, scalable APIs and services.
• AI/ML Integration: Proven ability to leverage and integrate AI/ML models into production-level applications.
• Data Driven: Expert in SQL for complex data querying, analysis, and ETL processes.
• Financial Domain Acumen:Strong, demonstrable knowledge of financial products, especially mutual funds, wealth management, and key fintech metrics.

Nice-to-Haves  

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Zoho Analytics, Zoho CRM and Zoho Deluge
• Familiarity with modern data analysis tools and visualization platforms (e.g., Mixpanel, Tableau, or custom dashboard tools).
• Understanding of Mutual Fund, AIF, PMS operations

Ready to Own the Backend and Shape Finance?  

This is where your code meets the capital market. If you’re a Fintech-savvy Python expert ready to lead a team and build a scalable platform in Pune, we want to talk.

Apply now to join our award-winning, forward-thinking team.

Our High-Velocity Hiring Process:  

• You Apply & Engage: Quick application and a few insightful questions. (5 min)
• Online Tech Challenge: Prove your tech mettle. (90 min)
• People Sync: A focused call to understand if there is cultural and value alignment. (30 min)
• Deep Dive Technical Interview: Discuss architecture and projects with our senior engineers. (1 hour)
• Founder's Vision Interview: Meet the leadership and discuss your impact. (1 hour)
• Offer & Onboarding: Reference and BGV check follow the successful offer.

What are you building right now that you're most proud of?

Your Responsibilities

1. Design, implement, and maintain cloud infrastructure on Azure, ensuring

scalability, reliability, and security.

2. Setup and manage Kubernetes clusters for container orchestration, including

deployment, scaling, and monitoring.

3. Develop and maintain automated deployment pipelines using GitHub Actions or

similar CI/CD tools.

4. Utilize configuration management tools like Helm, Kubernetes, and Ansible for

infrastructure as code (IaC) and automated provisioning.

5. Collaborate closely with development teams to streamline workflows and

improve release processes.

6. Monitor system performance, troubleshoot issues, and implement solutions to

ensure optimal uptime and performance.

7. Stay up-to-date with industry best practices, emerging technologies, and trends in

DevOps and cloud computing.

The Skills you’ll need

In order to be successful in this role, you must have the following skills & experience:

1. 4-5 years of professional experience in DevOps or related roles.

2. Strong experience with cloud platforms such as AWS or Azure.

3. Proficiency in setting up and managing Kubernetes clusters.

4. Hands-on experience with containerization technologies like Docker.

5. Demonstrated expertise in building and maintaining CI/CD pipelines using GitHub

Actions or similar tools.

6. Solid understanding of infrastructure as code (IaC) principles, with experience

using tools like Helm, Kubernetes, and Ansible.

7. Excellent communication skills and ability to collaborate effectively with

cross-functional teams.

8. Proven problem-solving skills and ability to thrive in a fast-paced, dynamic

environment.

Good to have skills

1. Self-starter and highly motivated individual who is prepared to use his/her own

initiative in understanding and following up issues.

2. Takes ownership and responsibility of problems through to resolution.

3. Keen to learn business processes and technical skills.

4. Ability to work under pressure and multi-task when necessary.

5. Hands on experience using tools like Trello, Gitlab, Zoom

Advanced Backend Development: Design, build, and maintain efficient, reusable, and reliable Python code. Develop complex backend services using FastAPI, MongoDB, and Postgres.

Microservices Architecture Design: Lead the design and implementation of a scalable microservices architecture, ensuring systems are robust and reliable.

Database Management and Optimization: Oversee and optimize the performance of MongoDB and Postgres databases, ensuring data integrity and security.

Message Broker Implementation: Implement and manage sophisticated message broker systems like RabbitMQ or Kafka for asynchronous processing and inter-service communication.

Git and Version Control Expertise: Utilize Git for sophisticated source code management. Lead code reviews and maintain high standards in code quality.

Project and Team Management: Manage backend development projects, coordinating with cross-functional teams. Mentor junior developers and contribute to team growth and skill development. Cloud Infrastructure Management: Extensive work with cloud services, specifically Google Cloud Platform (GCP), for deployment, scaling, and management of applications.

Performance Tuning and Optimization: Focus on optimizing applications for maximum speed, efficiency, and scalability.

Unit Testing and Quality Assurance: Develop and maintain thorough unit tests for all developed code. Lead initiatives in test-driven development (TDD) to ensure code quality and reliability.

 Security Best Practices: Implement and advocate for security best practices, data protection protocols, and compliance standards across all backend services.

About the Role

We’re looking for an Elixir Developer who is passionate about building scalable, high performance backend systems. You’ll work closely with our engineering team to design, develop, and maintain reliable applications that power mission-critical systems.

Key Responsibilities

• Develop and maintain backend services using Elixir and Phoenix framework.

• Build scalable, fault-tolerant, and distributed systems.

• Integrate APIs, databases, and message queues for real-time applications.

• Optimize system performance and ensure low latency and high throughput.

• Collaborate with frontend, DevOps, and product teams to deliver seamless solutions.

• Write clean, maintainable, and testable code with proper documentation.

• Participate in code reviews, architectural discussions, and deployment automation.

Required Skills & Experience

• 2–4 years of hands-on experience in Elixir (or strong functional programming background).

• Experience with Phoenix, Ecto, and RESTful API development.

• Solid understanding of OTP (Open Telecom Platform) concepts like GenServer, Supervisors, etc.

• Proficiency in PostgreSQL, Redis, or similar databases.

• Familiarity with Docker, Kubernetes, or cloud platforms (AWS/GCP/Azure).

• Understanding of CI/CD pipelines, version control (Git), and agile development.

Good to Have

• Experience with microservices architecture or real-time data systems.

• Knowledge of GraphQL, LiveView, or PubSub.

• Exposure to performance profiling, observability, or monitoring tools.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine

fintech.

We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.

Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
• Monitor and optimize Azure environments to ensure high availability, performance, and security.
• Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
• Troubleshoot and resolve issues related to build, deployment, and infrastructure.
• Implement and manage version control systems, primarily using Git.
• Manage containerization and orchestration using tools like Docker and Kubernetes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.

About OOLIO

Founded in 2019, Oolio has rapidly grown into Australia’s largest hospitality tech provider, trusted by industry giants like Star Casinos. Our innovative solutions empower businesses to streamline operations, enhance guest experiences, and drive revenue growth.

With a global footprint, we’ve established offices in the UK, US, and New Zealand, delivering cutting-edge technology to some of the world’s most dynamic hospitality brands. At Oolio, we’re not just building software - we’re shaping the future of hospitality with innovation, agility, and a passion for excellence.

As a leading hospitality technology company, we deliver solutions that help restaurants, cafes, and food service businesses streamline operations, integrate ordering and payments, and enhance customer experiences. Our platform is built on modern cloud-native technologies and follows an event-driven architecture, enabling high scalability and reliability.

Responsibilities

• Design, develop, and maintain scalable and high-performance web and mobile applications.
• Work across the stack with Go, React and Node.js.
• Working understanding of React Native is a plus.
• Architect and optimize APIs and microservices to ensure reliability, scalability, and security.
• Deploy, monitor, and manage cloud infrastructure using Kubernetes and AWS.
• Collaborate with product managers, designers, and other engineers to build seamless user experiences.
• Conduct code reviews, mentor junior developers, and promote best practices in software development.
• Continuously improve system performance, observability, and developer productivity.
• Troubleshoot and resolve production issues, ensuring uptime and reliability.

Requirements

• 6+ years of experience as a Backend Engineer, working on production-grade applications.
• Strong proficiency in Golang (5+ yrs) for back-end development. Experience with React Native is a plus.
• Experience with Reactjs or Nodejs is a plus.
• Solid understanding of microservices architecture and API development.
• Experience with Kubernetes, Docker, and cloud platforms (AWS) - 4+ yrs.
• Knowledge of databases (SQL and NoSQL) such as PostgreSQL and DynamoDB.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Built offline-first applications.
• Excellent communication and teamwork abilities.

Nice-to-Have

• Experience in the POS or payments industry.
• Knowledge of GraphQL and gRPC.
• Familiarity with event-driven architecture (Kafka, RabbitMQ, etc.).
• Exposure to performance tuning and high-traffic system optimizations.

What We Offer

• Competitive salary and benefits package.
• Hybrid work model with flexibility.
• Opportunity to work on cutting-edge technology in a fast-growing industry.
• A collaborative and dynamic work environment with a talented global team.
• Career growth opportunities and ongoing learning support.

Junior DevOps Engineer

Experience: 2–3 years

About Us

We are a fast-growing fintech/trading company focused on building scalable, high-performance systems for financial markets. Our technology stack powers real-time trading, risk management, and analytics platforms. We are looking for a motivated Junior DevOps Engineer to join our dynamic team and help us maintain and improve our infrastructure.

Key Responsibilities

• Support deployment, monitoring, and maintenance of trading and fintech applications.
• Automate infrastructure provisioning and deployment pipelines using tools like Ansible, Terraform, or similar.
• Collaborate with development and operations teams to ensure high availability, reliability, and security of systems.
• Troubleshoot and resolve production issues in a fast-paced environment.
• Implement and maintain CI/CD pipelines for continuous integration and delivery.
• Monitor system performance and optimize infrastructure for scalability and cost-efficiency.
• Assist in maintaining compliance with financial industry standards and security best practices.

Required Skills

• 2–3 years of hands-on experience in DevOps or related roles.
• Proficiency in Linux/Unix environments.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Working knowledge of scripting languages (Bash, Python).
• Experience with configuration management tools (Ansible, Puppet, Chef).
• Understanding of networking concepts and security practices.
• Exposure to monitoring tools (Prometheus, Grafana, ELK stack).
• Basic understanding of CI/CD tools (Jenkins, GitLab CI, GitHub Actions).

Preferred Skills

• Experience in fintech, trading, or financial services.
• Knowledge of high-frequency trading systems or low-latency environments.
• Familiarity with financial data protocols and APIs.
• Understanding of regulatory requirements in financial technology.

What We Offer

• Opportunity to work on cutting-edge fintech/trading platforms.
• Collaborative and learning-focused environment.
• Competitive salary and benefits.
• Career growth in a rapidly expanding domain.

Job Summary :

We are looking for a proactive and skilled Senior DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms (AWS, GCP, or Azure).

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling.

CI/CD & Release Management :

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

Containerization & Orchestration using Kubernetes :

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

Monitoring & Incident Management :

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 8+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

ROLES AND RESPONSIBILITIES:

We are looking for a Software Engineering Manager to lead a high-performing team focused on building scalable, secure, and intelligent enterprise software. The ideal candidate is a strong technologist who enjoys coding, mentoring, and driving high-quality software delivery in a fast-paced startup environment.

KEY RESPONSIBILITIES:

• Lead and mentor a team of software engineers across backend, frontend, and integration areas.
• Drive architectural design, technical reviews, and ensure scalability and reliability.
• Collaborate with Product, Design, and DevOps teams to deliver high-quality releases on time.
• Establish best practices in agile development, testing automation, and CI/CD pipelines.
• Build reusable frameworks for low-code app development and AI-driven workflows.
• Hire, coach, and develop engineers to strengthen technical capabilities and team culture.

IDEAL CANDIDATE:

• B.Tech/B.E. in Computer Science from a Tier-1 Engineering College.
• 3+ years of professional experience as a software engineer, with at least 1 year mentoring or managing engineers.
• Strong expertise in backend development (Java / Node.js / Go / Python) and familiarity with frontend frameworks (React / Angular / Vue).
• Solid understanding of microservices, APIs, and cloud architectures (AWS/GCP/Azure).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Excellent communication and problem-solving skills.

PREFERRED QUALIFICATIONS:

• Experience building or scaling SaaS or platform-based products.
• Exposure to GenAI/LLM, data pipelines, or workflow automation tools.
• Prior experience in a startup or high-growth product environment.

Python Backend Developer

We are seeking a skilled Python Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be on developing server-side logic to ensure high performance and responsiveness to requests from the front end. You will also be responsible for integrating front-end elements built by your coworkers into the application, as well as managing AWS resources.

Roles & Responsibilities

• Develop and maintain scalable, secure, and robust backend services using Python
• Design and implement RESTful APIs and/or GraphQL endpoints
• Integrate user-facing elements developed by front-end developers with server-side logic
• Write reusable, testable, and efficient code
• Optimize components for maximum performance and scalability
• Collaborate with front-end developers, DevOps engineers, and other team members
• Troubleshoot and debug applications
• Implement data storage solutions (e.g., PostgreSQL, MySQL, MongoDB)
• Ensure security and data protection

Mandatory Technical Skill Set

• Implementing optimal data storage (e.g., PostgreSQL, MySQL, MongoDB, S3)
• Python backend development experience
• Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions
• Implemented and managed containerization platforms such as Docker and orchestration tools like Kubernetes
• Previous hands-on experience in:
• EC2, S3, ECS, EMR, VPC, Subnets, SQS, CloudWatch, CloudTrail, Lambda, SageMaker, RDS, SES, SNS, IAM, S3, Backup, AWS WAF
• SQL

About Us:

Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make

a mark in the trading and fintech industry. If you are looking for just another backend role, this

isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits

every day. If you thrive in high-stakes environments and have a deep passion for performance

driven backend systems, we want you.

What We Expect:

• You should already be exceptional at Golang. If you need hand-holding, this isn’t the place for you.

• You thrive on challenges, not on perks or financial rewards.

• You measure success by your own growth, not external validation.

• Taking calculated risks excites you—you’re here to build, break, and learn.

• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading

environment.

• You understand the stakes—milliseconds can make or break trades, and precision is everything.

What You Will Do:

• Develop and optimize high-performance backend systems in Golang for trading platforms and financial

services.

• Architect low-latency, high-throughput microservices that push the boundaries of speed and efficiency.

• Build event-driven, fault-tolerant systems that can handle massive real-time data streams.

• Own your work—no babysitting, no micromanagement.

• Work alongside equally driven engineers who expect nothing less than brilliance.

• Learn faster than you ever thought possible.

Must-Have Skills:

• Proven expertise in Golang (if you need to prove yourself, this isn’t the role for you).

• Deep understanding of concurrency, memory management, and system design.• Experience with Trading, market data processing, or low-latency systems.

• Strong knowledge of distributed systems, message queues (Kafka, RabbitMQ), and real-time

processing.

• Hands-on with Docker, Kubernetes, and CI/CD pipelines.

• A portfolio of work that speaks louder than a resume.

Nice-to-Have Skills:

• Past experience in fintech, trading systems, or algorithmic trading.

• Contributions to open-source Golang projects.

• A history of building something impactful from scratch.

• Understanding of FIX protocol, WebSockets, and streaming APIs.

Why Join Us?

• Work with a team that expects and delivers excellence.

• A culture where risk-taking is rewarded, and complacency is not.

• Limitless opportunities for growth—if you can handle the pace.

• A place where learning is currency, and outperformance is the only metric that matters.

• The opportunity to build systems that move markets, execute trades in microseconds, and redefine

fintech.

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

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

Job Details

- Job Title: ML Engineer II - Aws, Aws Cloud

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description:

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

Aws, Aws Cloud, Amazon Redshift, Eks

NP: Immediate – 30 Days

Job Details

- Job Title: Lead I - Software Engineering - Java, J2Ee, Spring

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Summary:

We are looking for an experienced Senior Java Developer with expertise in building robust, scalable web applications using Java/J2EE, Spring Boot, REST APIs, and modern microservices architectures. The ideal candidate will be skilled in both back-end and middleware technologies, with strong experience in cloud platforms (AWS), and capable of mentoring junior developers while contributing to high-impact enterprise projects.

The developer will be responsible for full-cycle application development: from interpreting specifications and writing clean, reusable code, to testing, integration, and deployment. You will also work closely with customers and project teams to understand requirements and deliver solutions that optimize cost, performance, and maintainability.

Key Responsibilities:

Application Development & Delivery

• Design, code, debug, test, and document Java-based web applications aligned with design specifications.
• Build scalable and secure microservices using Spring Boot and RESTful APIs.
• Optimize application performance, maintainability, and reusability by using proven design patterns.
• Handle complex data structures and develop multi-threaded, performance-optimized applications.
• Ensure code quality through TDD (JUnit) and best practices.

Cloud & DevOps

• Develop and deploy applications on AWS Cloud Services: EC2, S3, DynamoDB, SNS, SES, etc.
• Leverage containerization tools like Docker and orchestration using Kubernetes.

Integration & Configuration

• Integrate with various databases (PostgreSQL, MySQL, Oracle, NoSQL).
• Configure development environments and CI/CD pipelines as per project needs.
• Follow configuration management processes and ensure compliance.

Testing & Quality Assurance

• Review and create unit test cases, scenarios, and support UAT phases.
• Perform defect root cause analysis (RCA) and proactively implement quality improvements.

Documentation

• Create and review technical documents: HLD, LLD, SAD, user stories, design docs, test cases, and release notes.
• Contribute to project knowledge bases and code repositories.

Team & Project Management

• Mentor team members; conduct code and design reviews.
• Assist Project Manager in effort estimation, planning, and task allocation.
• Set and review FAST goals for yourself and your team; provide regular performance feedback.

Customer Interaction

• Engage with customers to clarify requirements and present technical solutions.
• Conduct product demos and design walkthroughs.
• Interface with customer architects for design finalization.

Key Skills & Tools:

Core Technologies:

• Java/J2EE, Spring Boot, REST APIs
• Object-Oriented Programming (OOP), Design Patterns, Domain-Driven Design (DDD)
• Multithreading, Data Structures, TDD using JUnit

Web & Data Technologies:

• JSON, XML, AJAX, Web Services
• Database Technologies: PostgreSQL, MySQL, Oracle, NoSQL (e.g., DynamoDB)
• Persistence Frameworks: Hibernate, JPA

Cloud & DevOps:

• AWS: S3, EC2, DynamoDB, SNS, SES
• Version Control & Containerization: GitHub, Docker, Kubernetes

Agile & Development Practices:

• Agile methodologies: Scrum or Kanban
• CI/CD concepts
• IDEs: Eclipse, IntelliJ, or equivalent

Expected Outcomes:

• Timely delivery of high-quality code and application components
• Improved performance, cost-efficiency, and maintainability of applications
• High customer satisfaction through accurate requirement translation and delivery
• Team productivity through effective mentoring and collaboration
• Minimal post-production defects and technical issues

Performance Indicators:

• Adherence to coding standards and engineering practices
• On-time project delivery and milestone completion
• Reduction in defect count and issue recurrence
• Knowledge contributions to project and organizational repositories
• Completion of mandatory compliance and technology/domain certifications

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Relevant certifications (e.g., AWS Certified Developer, Oracle Certified, Scrum Master)

Soft Skills:

• Strong analytical and problem-solving mindset
• Excellent communication and presentation skills
• Team leadership and mentorship abilities
• High accountability and ability to work under pressure
• Positive team dynamics and proactive collaboration

Skills

Java, J2Ee, Spring

Must-Haves

Java, J2Ee, Spring

Machine Learning + Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

NP: Immediate – 30 Days

Position-Tech Lead

Experience: 8-10

Job Location: Pune 

We are seeking a highly skilled Tech Lead with strong expertise in Java, microservices architecture, and cloud-native application development. The ideal candidate will bring hands-on leadership experience in designing scalable solutions, guiding development teams, and collaborating with DevOps engineers on OpenShift (OCP) platforms. This role requires a blend of technical leadership, solution design, and delivery ownership.

Key Responsibilities

Lead the design and development of Java / Spring Boot based microservices in a cloud-native environment.

Provide technical leadership to a team of developers, ensuring adherence to coding, security, and architectural best practices.

Collaborate with architects and DevOps engineers to deploy and manage microservices on Red Hat OpenShift (OCP).

Oversee end-to-end delivery including requirement analysis, design, development, code review, testing, and deployment.

Define and implement API specifications, integration patterns, and microservices orchestration.

Work closely with DevOps teams to integrate CI/CD pipelines, containerized deployments, Helm, and GitOps workflows.

Ensure application performance, scalability, and reliability with proactive observability practices (Grafana, Prometheus, etc.).

Required Skills & Qualifications

8-10 years of proven experience in Java application development with at least 4+ years in microservices architecture.

Strong expertise in Spring Boot, REST APIs, JPA/Hibernate, and messaging frameworks (Kafka, RabbitMQ, etc.).

Hands-on experience with containerization (Docker) and orchestration (OpenShift/Kubernetes).

Familiarity with OCP DevOps practices including CI/CD (ArgoCD, Tekton, Jenkins), Helm, and YAML deployments.

Good understanding of observability stacks (Grafana, Prometheus, Loki, Alertmanager) and logging practices.

Solid knowledge of cloud-native design principles, scalability, and fault tolerance.

Exposure to security best practices (OAuth, RBAC, secrets management via Vault or similar).