50+ Windows Azure Jobs in India

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Job requirements

Key Responsibilities:

• Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
• Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
• Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
• Communicate clearly and fluently in English with customers and internal teams.
• Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
• Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.

Shift Details:

• Engineers rotate shifts, typically working 4–5 shifts per week.
• Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
• Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.

Qualifications:

• 2–5 years of experience in DevOps or cloud support roles.
• Strong familiarity with AWS and/or Azure cloud environments.
• Experience with CI/CD tools such as GitHub Actions or Jenkins.
• Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
• Basic scripting skills in Bash, Python, or comparable languages.
• Excellent communication skills in English.
• Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
• Prior experience in a shift-based support environment is preferred.

What We Offer:

• Remote work opportunity — work from anywhere in India with a stable internet connection.
• Comprehensive training program including:
• Shadowing existing processes to gain hands-on experience.
• Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.

Job Overview:

We are looking for a highly skilled Full-Stack Developer with expertise in .NET Core, to develop and maintain scalable web applications and microservices. The ideal candidate will have strong problem-solving skills, experience in modern software development, and a passion for creating robust, high-performance applications.

Key Responsibilities:

Backend Development:

• Design, develop, and maintain microservices and APIs using.NET Core. Should have a good understanding of .NET Framework.
• Implement RESTful APIs, ensuring high performance and security.
• Optimize database queries and design schemas for SQL Server / Snowflake / MongoDB.

Software Architecture & DevOps:

• Design and implement scalable microservices architecture.
• Work with Docker, Kubernetes, and CI/CD pipelines for deployment and automation.
• Ensure best practices in security, scalability, and performance.

Collaboration & Agile Development:

• Work closely with UI/UX designers, backend engineers, and product managers.
• Participate in Agile/Scrum ceremonies, code reviews, and knowledge-sharing sessions.
• Write clean, maintainable, and well-documented code.

Required Skills & Qualifications:

• 7+ years of experience as a Full-Stack Developer.
• Strong experience in .NET Core, C#.
• Proficiency in React.js, JavaScript (ES6+), TypeScript.
• Experience with RESTful APIs, Microservices architecture.
• Knowledge of SQL / NoSQL databases (SQL Server, Snowflake, MongoDB).
• Experience with Git, CI/CD pipelines, Docker, and Kubernetes.
• Familiarity with Cloud services (Azure, AWS, or GCP) is a plus.
• Strong debugging and troubleshooting skills.

Nice-to-Have:

• Experience with GraphQL, gRPC, WebSockets.
• Exposure to serverless architecture and cloud-based solutions.
• Knowledge of authentication/authorization frameworks (OAuth, JWT, Identity Server).
• Experience with unit testing and integration testing.

Required Skills and Qualifications: 

• .NET: Strong experience with .NET Core, ASP.NET MVC, and Web API.  
• React.js: Proficiency in React.js, including component lifecycle, state management, and UI development.  
• GraphQL: Experience with GraphQL schema design, resolvers, and API development.  
• Azure: Solid understanding of Azure services and cloud-native application development.  
• JavaScript/TypeScript: Strong proficiency in JavaScript and TypeScript.  
• Microservices: Create microservices from monolith architecture
• Modernization: Create APIs, Security in APIs, Version Control
• CI/CD: Experience with Azure CI/CD pipelines and tools.  
• Version Control: Strong command of Git for version control.  
• Agile Methodologies: Experience working in an Agile development environment.  
• Communication Skills: Excellent communication and interpersonal skills.  
• Problem-Solving: Strong problem-solving and analytical skills  
• Team Lead: Must have handled a 4–5-member team.

🔍 We’re Hiring: Solution Engineer (Observability)

📍 Location: ["Remote/Onsite"]

🏢 Company: Product-Based Client

🕒 Experience: 5+ Years

💼 Employment Type: Full-Time

About the Role:

We are hiring for a Solution Engineer – Observability role with one of our fast-scaling product-based clients. This position is ideal for someone with strong technical acumen and exceptional communication skills who enjoys working at the intersection of engineering and customer success.

As a Solution Engineer, you will lead technical conversations with a range of personas—from DevOps teams to C-suite executives—while delivering innovative observability solutions that showcase real value.

Key Responsibilities:

• 🤝 Collaborate closely with Account Executives on technical sales strategy and execution for complex deals.
• 🎤 Deliver engaging product demos and technical presentations tailored to various stakeholder levels.
• 🛠️ Manage technical sales activities including discovery, sizing, architecture planning, and Proof of Concepts (POCs).
• 🔧 Design and implement custom solutions to bridge product gaps and extend core functionality.
• 💡 Provide expert guidance on observability best practices, tools, and frameworks that align with customer needs.
• 📈 Stay current with industry trends, tools, and the evolving Observability ecosystem.

Requirements:

• ✅ 5+ years in a customer-facing technical role such as Pre-Sales Engineer, Solutions Architect, or Technical Consultant.
• ✅ Strong communication, interpersonal, and presentation skills—able to convey complex topics clearly and persuasively.
• ✅ Proven experience with technical integration, conducting POCs, and building tailored observability solutions.
• ✅ Proficiency in one or more programming languages: Java, Go, or Python.
• ✅ Solid understanding of Observability, Monitoring, Log Management, and SIEM tools and methodologies.
• ✅ Familiarity with observability-related platforms such as APM, RUM, and Log Analytics is desirable.
• ✅ Strong hands-on expertise in:
• Cloud platforms: AWS, Azure, GCP
• Containerization & Orchestration: Docker, Kubernetes
• Monitoring stacks: Prometheus, OpenTelemetry

Bonus Points For:

• 🧠 Previous experience in technical sales within APM, Logging, Monitoring, or SIEM platforms

Why Join?

• Work with a cutting-edge product solving complex observability challenges
• Be a key voice in the pre-sales and solutioning cycle
• Partner with cross-functional teams and engage directly with top-tier clients
• Enjoy a collaborative, high-growth environment focused on innovation and performance

If interested please apply on ( https://candidate.hirezy.ai/job/12ORRzQ)

Responsibilities:

• Participate in the development and support of the .NET applications across diverse technology stacks.
• Independently maintain, troubleshoot, and enhance legacy .NET applications
• Build and Enhance applications using Latest .NET Technologies using Microservices architecture
• Deploy application fixes using Devops pipeline using GitHub actions and other CI tools
• Investigate and fix bugs, optimize performance, and ensure system reliability.
• Implement enhancements to meet customer needs while maintaining backward compatibility.
• Support data migration and customer transition to a cloud-based product.
• Collaborate with product, support, and operations teams to ensure a stable and effective product experience.
• Provide long-term technical support and modernization recommendations where appropriate.

Skills Required

• Proven experience working with legacy and Modern.NET applications (C# .NET, ASP.NET, Web Services, Microservices, Entity Framework, XML, Json).
• Hands-on experience with .NET, JavaScript, HTML5 and Angular is Mandatory.
• Comfortable working with older codebases and understanding existing system logic.
• Experience with SQL Server (stored procedures, optimization, and maintenance).
• Willingness to focus on support, maintenance, and incremental improvements rather than greenfield development.
• Strong problem-solving skills and a practical approach to software maintenance.
• Strong debugging skills and the ability to diagnose and resolve production issues efficiently.
• Prior experience with enterprise or long-standing software products is a plus.
• Must be detail-oriented, patient, and committed to long-term product stability.
• Experience with upgrading legacy applications to adhere to modern, up-to-date development standards is a bonus

Flexible to work in EST or Pacific Time Zone

Employment type- Contract basis

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark and distributed computing frameworks.
• Implement ETL processes and integrate data from structured and unstructured sources into cloud data warehouses.
• Work across Azure or AWS cloud ecosystems to deploy and manage big data workflows.
• Optimize performance of SQL queries and develop stored procedures for data transformation and analytics.
• Collaborate with Data Scientists, Analysts, and Business teams to ensure reliable data availability and quality.
• Maintain documentation and implement best practices for data architecture, governance, and security.

⚙️ Required Skills

• Programming: Proficient in PySpark, Python, and SQL.
• Cloud Platforms: Hands-on experience with Azure Data Factory, Databricks, or AWS Glue/Redshift.
• Data Engineering Tools: Familiarity with Apache Spark, Kafka, Airflow, or similar tools.
• Data Warehousing: Strong knowledge of designing and working with data warehouses like Snowflake, BigQuery, Synapse, or Redshift.
• Data Modeling: Experience in dimensional modeling, star/snowflake schema, and data lake architecture.
• CI/CD & Version Control: Exposure to Git, Terraform, or other DevOps tools is a plus.

🧰 Preferred Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• Certifications in Azure/AWS are highly desirable.
• Knowledge of business intelligence tools (Power BI, Tableau) is a bonus.

🛡️ Job Opening: Security Operations Center (SOC) Analyst – Gurgaon (Sector 43)

📍 Location: Gurgaon, Sector 43

🕒 Experience: 3+ Years

💼 Employment Type: Full-Time

Who We’re Looking For:

We’re seeking a dynamic and experienced SOC Analyst to join our growing cybersecurity team. If you're passionate about threat detection, incident response, and working hands-on with cutting-edge security tools — this role is for you.

Key Responsibilities:

• Monitor, detect, investigate, and respond to cybersecurity threats in real-time.
• Work hands-on with tools such as SIEM, SOAR, WAF, IPS/IDS, etc.
• Collaborate with customers and internal teams to provide timely and clear communication around security events.
• Analyze threat scenarios and provide actionable intelligence and mitigation strategies.
• Create and refine detection rules, playbooks, and escalation workflows.
• Assist in continuous improvement of SOC procedures and threat detection capabilities.

Requirements:

• Minimum 3 years of experience in a SOC/MDR (Managed Detection and Response) environment, preferably in a customer-facing role.
• Strong technical skills in using security platforms like SIEM, SOAR, WAF, IPS, etc.
• Solid understanding of security principles, threat vectors, and incident response methodologies.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications:

• Security certifications such as CEH, OSCP, CSA, or equivalent are a plus.
• Experience in scripting or automation (Python, PowerShell, etc.) is an added advantage.

Why Join Us?

• Be part of a fast-paced and innovative cybersecurity team.
• Work on real-world threats and cutting-edge technologies.
• Collaborative work environment with a focus on growth and learning.

• 2+ years in a DevOps/SRE/System Engineering role
• Hands-on experience with Linux-based systems
• Experience with cloud platforms like AWS, GCP, or Azure
• Proficient in scripting (Bash, Python, or Go)
• Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog, etc.)
• Knowledge of containerization (Docker, Kubernetes)
• Familiarity with Git and CI/CD tools (Jenkins, GitLab CI, etc.)

1. Software Development Engineer - Salesforce

What we ask for

We are looking for strong engineers to build best in class systems for commercial &

wholesale banking at Bank, using Salesforce service cloud. We seek experienced

developers who bring deep understanding of salesforce development practices, patterns,

anti-patterns, governor limits, sharing & security model that will allow us to architect &

develop robust applications.

You will work closely with business, product teams to build applications which provide end

users with intuitive, clean, minimalist, easy to navigate experience

Develop systems by implementing software development principles and clean code

practices scalable, secure, highly resilient, have low latency

Should be open to work in a start-up environment and have confidence to deal with complex

issues keeping focus on solutions and project objectives as your guiding North Star

Technical Skills:

● Strong hands-on frontend development using JavaScript and LWC

● Expertise in backend development using Apex, Flows, Async Apex

● Understanding of Database concepts: SOQL, SOSL and SQL

● Hands-on experience in API integration using SOAP, REST API, graphql

● Experience with ETL tools , Data migration, and Data governance

● Experience with Apex Design Patterns, Integration Patterns and Apex testing

framework

● Follow agile, iterative execution model using CI-CD tools like Azure Devops, gitlab,

bitbucket

● Should have worked with at least one programming language - Java, python, c++

and have good understanding of data structures

Preferred qualifications

● Graduate degree in engineering

● Experience developing with India stack

● Experience in fintech or banking domain

Hybrid work mode

(Azure) EDW Experience working in loading Star schema data warehouses using framework

architectures including experience loading type 2 dimensions. Ingesting data from various

sources (Structured and Semi Structured), hands on experience ingesting via APIs to lakehouse architectures.

Key Skills: Azure Databricks, Azure Data Factory, Azure Datalake Gen 2 Storage, SQL (expert),

Python (intermediate), Azure Cloud Services knowledge, data analysis (SQL), data warehousing,documentation – BRD, FRD, user story creation.

A Frontend Engineer having expertise in React.js (70%) with Typescript & NodeJS(30%). 

Strong proficiency in Typescript and JavaScript including DOM manipulation.

Thorough understanding of React.js and its core principles.

Thorough understanding of how to make frontend application secure.

Experience with popular React.js workflows (such as Flux or Redux)

Experience with React-router and react-query.

Familiarity with newer specifications of ECMAScript

Knowledge of isomorphic React is a plus?

Familiarity with RESTful APIs

As a senior software engineer (AI/ML), you will play a key role in shaping our AI-powered visual search engine for fashion and e-commerce. Responsibilities include solving complex deep-tech challenges to build scalable AI/ML solutions, leading backend development for performance and scalability, and architecting and integrating software aligned with product strategy and innovation goals. You will collaborate with cross-functional teams to address real consumer problems and build robust AI/ML pipelines to drive product innovation.

What we’re looking for:

• Design and deploy advanced machine learning models in computer vision, including object detection & similarity matching
• Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready with MLOps
• 3–5 years of Python experience (Golang is a plus), with expertise in concurrency, FastAPI, restful APIs, and microservices.
• proficiency in PostgreSQL/MongoDB, cloud platforms (AWS/GCP/Azure), and containerization tools like Docker/Kubernetes.
• Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
• Strong experience in asynchronous programming, CI/CD pipelines, and version control (git). Excellent problem-solving and communication skills are essential.

What we offer:

• Competitive salary and ESOPs, along with HackerHouse living: live and work with a Gen Z team in a 7BHK house on MG Road, Gurgaon.
• hands-on experience in shipping world-class products, professional development opportunities, flexible hours, and a collaborative, supportive culture.

About the Role

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

# Experience with Kubernetes is mandatory.

Key Responsibilities

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

Required Skills

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

Preferred Qualifications

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

Job Title: Sr. DevOps Engineer

Experience Required: 2 to 4 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

We’re looking for a .NET Core Developer who’s confident in their skills and ready to take on meaningful, real-world projects. If you're someone who enjoys solving problems, writing clean code, and working with Azure cloud services, we’d love to hear from you.

What you'll be doing:

• Building and maintaining scalable web applications using .NET Core
• Working with Azure services (like Functions, App Services, Logic Apps, etc.)
• Collaborating with cross-functional teams to design, develop, and deliver high-quality solutions
• Writing clean, testable, and efficient code
• Participating in code reviews and team discussions to improve practices

We’re looking for someone who has:

• 4.5 to 7 years of hands-on experience in .NET Core and C#
• Practical experience with Microsoft Azure – especially services like Azure Functions, App Services, Logic Apps, or Azure DevOps
• Good understanding of RESTful APIs, microservices, and SQL
• Strong problem-solving skills and the ability to work independently or as part of a team

Why this role?

• Flexible hybrid work model – work from anywhere, come together when it counts
• Opportunity to work on innovative projects with a supportive team
• A space to grow, learn, and actually enjoy the work you do

Key Skills Required:

• Strong hands-on experience with Terraform
• Proficiency in CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, etc.)
• Experience working on Azure or GCP cloud platforms (at least one is mandatory)
• Good understanding of DevOps practices

About TechMango:

My name is Riyas banu M, and I'm reaching out to you regarding an exciting opportunity with TechMango.

Founded in 2014, TechMango Technology Services is a leading software development company with a strong focus on emerging technologies. Our primary goal is to deliver strategic solutions that align with our business partners' technological needs.

We specialize in providing custom software solutions using the best available technologies, ensuring quality delivery within defined timelines. Our services include analysis, design, architecture, programming, testing, and long-term technical support, all aimed at achieving ultimate customer satisfaction.

Recognized as the Best Offshore Software Development Company in India, TechMango is driven by the mantra, "Clients' Vision is our Mission." We strive to be a technologically advanced and highly regarded organization, offering high-quality and cost-efficient services while fostering long-term client relationships.

We operate in the USA (Chicago, Atlanta), UAE (Dubai), and India (Bangalore, Chennai, Madurai, Trichy, Coimbatore).

For more information, please visit our

website.https://www.techmango.net/

Techmango | Digital Transformation Solutions | IT Consulting

We provide cutting-edge technology solutions based on digital, Business Analytics, Cloud, Big Data, IoT, Blockchain, Managed IT Services & Technology

Senior Full Stack Engineer (.NET + UI)

We are hiring a Senior Full Stack Engineer with 5 -7 years; experience with strong expertise in C#, .NET, SQL, Git, and front-end technologies like Angular or React. The ideal candidate should have good English communication skills and a solid understanding of secure coding.

principles to prevent common vulnerabilities such as SQL Injection, XSS, and CSRF.

What is expected of you:

As part of the job, you will be required to

• Participate in requirements analysis
• Write clean, scalable code using .NET programming languages.
• Design and manage databases with SQL and interact with data through Entity Framework
• Build intuitive and responsive user interfaces using front-end frameworks like Angular or React.
• Test and deploy applications and system,Revise, update, refactor, and debug code
• Improve existing software use Git for version control and collaboration in a team environment.
• Develop documentation throughout the software development life cycle (SDLC)
• If your beliefs resonate with these, you are looking at the right place!
• Accountability Finish what you started
• Communication Context aware, pro-active, and clean communication
• Outcome High throughput
• Quality High-quality work and consistency

Requirements:

• C# and .NET Framework Strong hands-on experience with object-oriented programming and enterprise-grade .NET applications.
• SQL Entity Framework Proficient in writing complex queries and working with ORM frameworks.
• UI Technologies Working experience with modern front-end frameworks such as Angular or React.
• Asynchronous Programming Understanding and Implementation of async/await patterns for performance optimization.
• Version Control Experience using Git, Bitbucket etc for source code management.
• Design Patterns Solid understanding and practical application of standard software design patterns.
• Unit Testing Experience with testing frameworks such as NUnit or xUnit to ensure code quality and reliability.
• Secure Coding Principles Awareness and application of secure coding practices to prevent vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF), etc.

Good to have skills:

• Exposure to Cloud Platforms, Azure, AWS, etc.
• Good Communication Skills
• Excellent knowledge of SDLC.
• Knowledge of Jira.

Thanks & Regards,

M.Riyas banu

Techmango Technology Services Pvt Ltd

Job description

Job Title: DevOps Engineer

Experience: 6–10 years

Role Summary

We are seeking a skilled DevOps Engineer with hands-on expertise in Azure DevOps, automation, Infrastructure as Code (IaC), and cloud-native Azure services. The candidate will support environment automation, compliance enforcement, and app modernization initiatives, including CI/CD pipeline design, policy-as-code integration, and modernization of legacy applications using modern Azure PaaS services.

Key Responsibilities:  

• Design and implement CI/CD pipelines in Azure DevOps using YAML and Classic pipelines for infrastructure and app deployments.
•  Implement Azure Policy and Enterprise Policy-as-Code (EPAC) for compliance enforcement.
•  Develop and manage automation scripts using PowerShell, REST APIs, and Bicep/ARM templates.
•  Lead modernization of legacy applications using Azure App Services, Azure Functions, API Management, and Azure AD.
•  Manage secrets using Azure Key Vault, configure service connections, and ensure secure deployments.
•  Support Agile processes using Azure Boards (Scrum/Kanban), manage sprints, user stories, and iterations.
•  Create and maintain Azure DevOps dashboards, analytics views, and optionally integrate with Power BI for advanced reporting.
•  Troubleshoot and optimize CI/CD pipelines, deployment modules, and infrastructure provisioning.

Technical Skills

Must-Have:

• Azure DevOps (Pipelines, Boards, Repos, Artifacts, Service Connections)
•  PowerShell scripting (including writing modules, Pester tests)
•  Git and source control (branching, pull requests, code reviews)
•  Azure Policy, Enterprise Policy-as-Code (EPAC)
•  Infrastructure as Code: ARM, Bicep, Terraform
•  Azure PaaS: App Services, Azure Functions, API Management, Azure SQL, Key Vault, Azure AD, App Insights
•  REST APIs integration
•  CI/CD & DevOps principles, secrets management, automation pipelines

 Nice-to-Have: 

• Octopus Deploy, Power Automate
•  Azure certifications (AZ-204, AZ-400)
•  .NET Framework deployment familiarity
•  Agile tools: Jira, Asana
•  Reporting with Power BI

Soft Skills

• Excellent communication and stakeholder engagement
•  Strong analytical and problem-solving abilities
•  Agile mindset, self-starter, and ability to work independently
•  Proven ability to work in cross-functional DevOps teams 

Educational qualification:

B.E/B.Tech/MCA

Are you an experienced consumer-tech leader ready to build and scale from the ground up?

Join us at Vets and Care, where we’re reimagining how pet parents access healthcare, insurance, and wellness — through powerful, tech-enabled experiences.

We’re looking for a CTO or VP of Engineering who can own the entire tech stack, lead a high-performing team, and drive product innovation at speed.

🌟 What You’ll Own

• End-to-end tech strategy across backend, frontend, mobile, and infrastructure
• Architecture design & execution for scalable, secure, and high-availability systems
• Hands-on guidance across Java/Spring Boot, React.js, and React Native (Kotlin / Swift) stacks.
• Team leadership – mentor and manage developers across functions (backend, frontend, mobile app development)
• Translate raw business requirements into structured tech plans and sprints
• Handle Azure Cloud infrastructure, DevOps, monitoring, and performance tuning
• Ensure smooth implementation of FCM / APNs for push notifications
• Oversee or advise on real-time in-app video calling features and third-party SDK integrations
• Collaborate with the founding team on product roadmaps, hiring, and scaling operations

✅ Must-Have Experience

• 10+ years in tech roles, with 2–3 years in engineering leadership (CTO, VP Engineering, Head of Technology)
• Proven experience scaling consumer-tech products from 0 to 1 and beyond

• Deep expertise in:
• Backend: Java 8, Spring Boot, Microservices, MySQL
• Frontend: React.js
• Mobile: React Native with Expo
• Cloud: Azure deployment and infrastructure management
• Experience with FCM (Firebase Cloud Messaging) and APNs for real-time notifications
• Strong ability to debug and resolve issues across full-stack environments
• A bias for action — comfortable working in fast-paced, startup-style environments
• Exposure to video calling SDKs or real-time video architecture
• Willingness to work on-site from Noida Sector 2

🌱 Nice to Have:

• Experience with pet tech, health tech, insure-tech, or SaaS products
• Familiarity with CI/CD pipelines, monitoring tools, and agile product development

🎯 Why Join Us?

• Be the tech backbone of a startup disrupting the ₹43,000 Cr pet care industry (Projected 2027)
• Work directly with the founder to shape product, process, and scale
• Open discussions on salary + ESOPs — we believe in long-term value
• Make an impact in a purpose-driven, fast-moving environment

We are looking for a hands-on technical expert who has worked with multiple technology stacks and has experience architecting and building scalable cloud solutions with web and mobile frontends.

What will you work on?

• Interface with clients
• Recommend tech stacks
• Define end-to-end logical and cloud-native architectures
• Define APIs
• Integrate with 3rd party systems
• Create architectural solution prototypes
• Hands-on coding, team lead, code reviews, and problem-solving

What Makes You A Great Fit?

• 5+ years of software experience
• Experience with architecture of technology systems having hands-on expertise in backend, and web or mobile frontend
• Solid expertise and hands-on experience in Python with Flask or Django
• Expertise on one or more cloud platforms (AWS, Azure, Google App Engine)
• Expertise with SQL and NoSQL databases (MySQL, Mongo, ElasticSearch, Redis)
• Knowledge of DevOps practices
• Chatbot, Machine Learning, Data Science/Big Data experience will be a plus
• Excellent communication skills, verbal and written About Us We offer CTO-as-a-service and Product Development for Startups. We value our employees and provide them an intellectually stimulating environment where everyone’s ideas and contributions are valued. 

Location: Mumbai

Job Type: Full-Time (Hybrid – 3 days in office, 2 days WFH)

Job Overview:

We are looking for a skilled Azure Data Engineer with strong experience in data modeling, pipeline development, and SQL/Spark expertise. The ideal candidate will work closely with the Data Analytics & BI teams to implement robust data solutions on Azure Synapse and ensure seamless data integration with third-party applications.

Key Responsibilities:

• Design, develop, and maintain Azure data pipelines using Azure Synapse (SQL dedicated pools or Apache Spark pools).
• Implement data models in collaboration with the Data Analytics and BI teams.
• Optimize and manage large-scale SQL and Spark-based data processing solutions.
• Ensure data availability and reliability for third-party application consumption.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.

Required Skills & Experience:

3–5 years of hands-on experience in:

• Azure data services
• Data Modeling
• SQL development and tuning
• Apache Spark
• Strong knowledge of Azure Synapse Analytics.
• Experience in designing data pipelines and ETL/ELT processes.
• Ability to troubleshoot and optimize complex data workflows.

Preferred Qualifications:

• Experience with data governance, security, and data quality practices.
• Familiarity with DevOps practices in a data engineering context.
• Effective communication skills and the ability to work in a collaborative team environment.

Job Title : Azure DevOps Engineer

Experience Required : 7+ Years

Work Mode : Remote / Hybrid

Location : Remote

Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)

Interview Mode : Face-to-Face or Virtual

Open Positions : 2

Job Description :

We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.

Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.

Key Responsibilities :

• Manage deployments for Dynamics 365 and proxy applications
• Run and maintain ADO pipelines and GitHub Actions
• Ensure proper status updates on ADO Boards and deployed work items
• Coordinate with QA teams to execute smoke testing post-deployment
• Communicate deployment progress across team channels effectively
• Monitor deployment cycles, approval gates, logs, and alerts
• Ensure smooth integration of infrastructure and DevOps practices

Mandatory Skills :

• Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
• Proven expertise in building pipelines using Azure DevOps and GitHub.
• Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
• Hands-on with Azure services like :
• App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
• vNet, Managed Identity, KeyVault, AppConfig, App Insights.
• Basic Azure Fundamentals Certification (AZ-900).
• Excellent communication skills in English.

Nice to Have :

• Experience in managing large enterprise-scale deployments.
• Familiarity with branching strategies and monitoring tools.
• Exposure to Approval Gates and Deployment Governance.

About the Role

We are looking for a skilled Backend Engineer with strong experience in building scalable microservices, integrating with distributed data systems, and deploying web APIs that serve UI applications in the cloud. You’ll work on high-performance systems involving Kafka, DynamoDB, Redis, and other modern backend technologies.

Responsibilities

• Design, develop, and deploy backend microservices and APIs that power UI applications.
• Implement event-driven architectures using Apache Kafka or similar messaging platforms.
• Build scalable and highly available systems using NoSQL databases (e.g., DynamoDB, MongoDB).
• Optimize backend systems using caching layers like Redis to enhance performance.
• Ensure seamless deployment and operation of services in cloud environments (AWS, GCP, or Azure).
• Write clean, maintainable, and well-tested code; contribute to code reviews and architecture discussions.
• Collaborate closely with frontend, DevOps, and product teams to deliver integrated solutions.
• Monitor and troubleshoot production issues and participate in on-call rotations as needed.

Required Qualifications

• 3–7 years of professional experience in backend development.
• Strong programming skills in one or more languages: Java, Python, Go, Node.js.
• Hands-on experience with microservices architecture and API design (REST/gRPC).
• Practical experience with Kafka, RabbitMQ, or other event streaming/message queue systems.
• Solid knowledge of NoSQL databases, especially DynamoDB or equivalents.
• Experience using Redis or Memcached for caching or pub/sub mechanisms.
• Proficiency with cloud platforms (preferably AWS – e.g., Lambda, ECS, EKS, API Gateway).
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

Job Title : Lead – Monitoring

Experience : 8.5 to 14 Years

Location : Gurgaon, Sector 32 (Hybrid – 3 days office, 2 days WFH)

Work Mode : 5 Days Working

Department : Digital IT – Infrastructure & Services

Joining : Immediate to 15–20 days (Buyout option available)

Role Summary :

We are seeking a Lead – Monitoring professional to lead infrastructure, cloud (Azure/AWS), and synthetic monitoring initiatives.

The role demands deep expertise in observability tools, performance optimization, and proactive incident response, driving reliability across global systems.

This is a hands-on, non-admin role focused on engineering and automation, not infra administration.

Mandatory Skills :

Nagios, Microsoft SCOM, Site24x7, Azure/AWS cloud monitoring, performance analysis, incident response, Python/PowerShell scripting

Location Preference :

• Candidates from Delhi NCR preferred.
• Open to North India candidates willing to relocate to Gurgaon.
• Remote work is not available.

Key Responsibilities :

• Lead system performance monitoring using Nagios, Microsoft SCOM, Site24x7.
• Design and manage cloud & synthetic monitoring (Azure/AWS).
• Drive incident resolution and minimize downtimes.
• Build scalable, automated monitoring solutions (Python/PowerShell).
• Create and maintain dashboards, KPIs, reports.
• Collaborate across teams and lead monitoring practices.
• Mentor junior team members, ensuring knowledge sharing.

Good to Have :

• Certifications: ITIL Foundation, Microsoft Certified: Azure Administrator, Microsoft Certified: SCOM, CMP.
• Experience with cloud cost optimization, performance trend analysis.

Note :

• Admin-only profiles are not suitable.
• Strong Azure platform knowledge is essential.

Position : Senior Data Analyst

Experience Required : 5 to 8 Years

Location : Hyderabad or Bangalore (Work Mode: Hybrid – 3 Days WFO)

Shift Timing : 11:00 AM – 8:00 PM IST

Notice Period : Immediate Joiners Only

Job Summary :

We are seeking a highly analytical and experienced Senior Data Analyst to lead complex data-driven initiatives that influence key business decisions.

The ideal candidate will have a strong foundation in data analytics, cloud platforms, and BI tools, along with the ability to communicate findings effectively across cross-functional teams. This role also involves mentoring junior analysts and collaborating closely with business and tech teams.

Key Responsibilities :

• Lead the design, execution, and delivery of advanced data analysis projects.
• Collaborate with stakeholders to identify KPIs, define requirements, and develop actionable insights.
• Create and maintain interactive dashboards, reports, and visualizations.
• Perform root cause analysis and uncover meaningful patterns from large datasets.
• Present analytical findings to senior leaders and non-technical audiences.
• Maintain data integrity, quality, and governance in all reporting and analytics solutions.
• Mentor junior analysts and support their professional development.
• Coordinate with data engineering and IT teams to optimize data pipelines and infrastructure.

Must-Have Skills :

• Strong proficiency in SQL and Databricks
• Hands-on experience with cloud data platforms (AWS, Azure, or GCP)
• Sound understanding of data warehousing concepts and BI best practices

Good-to-Have :

• Experience with AWS
• Exposure to machine learning and predictive analytics
• Industry-specific analytics experience (preferred but not mandatory)

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Role

We seek experienced ML/AI professionals with strong backgrounds in computer science, software engineering, or related elds to join our Azure-focused MLOps team. If you’re passionate about deploying complex machine learning models in real-world settings, bridging the gap between research and production, and working on high-impact projects, this role is for you.

Work you’ll do

As an operations engineer, you’ll oversee the entire ML lifecycle on Azure—spanning initial proofs-of-concept to large-scale production deployments. You’ll build and maintain automated training, validation, and deployment pipelines using Azure DevOps, Azure ML, and related services, ensuring models are continuously monitored, optimized for performance, and cost-eective. By integrating MLOps practices such as MLow and CI/CD, you’ll drive rapid iteration and experimentation. In close collaboration with senior ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade ML solutions that directly impact business outcomes. 

Responsibilities

• ML-focused DevOps: Set up robust CI/CD pipelines with a strong emphasis on model versioning, automated testing, and advanced deployment strategies on Azure.
• Monitoring & Maintenance: Track and optimize the performance of deployed models through live metrics, alerts, and iterative improvements.
• Automation: Eliminate repetitive tasks around data preparation, model retraining, and inference by leveraging scripting and infrastructure as code (e.g., Terraform, ARM templates).
• Security & Reliability: Implement best practices for securing ML workows on Azure, including identity/access management, container security, and data encryption.
• Collaboration: Work closely with the data science teams to ensure model performance is within agreed SLAs, both for training and inference.

Skills & Requirements

• 2+ years of hands-on programming experience with Python (PySpark or Scala optional).
• Solid knowledge of Azure cloud services (Azure ML, Azure DevOps, ACI/AKS).
• Practical experience with DevOps concepts: CI/CD, containerization (Docker, Kubernetes), infrastructure as code (Terraform, ARM templates).
• Fundamental understanding of MLOps: MLow or similar frameworks for tracking and versioning.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, XGBoost) and how to operationalize them in production.
• Broad understanding of data structures and data engineering.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, eiciency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, x or improve – anything that isn’t done right, irrespective of who did it. Be selsh about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Job Role : Azure DevSecOps Engineer (Security-Focused)

Experience : 12 to 18 Years

Location : Preferably Delhi NCR (Hybrid); Remote possible with 1–2 office visits per quarter (Gurgaon)

Joining Timeline : Max 45 days (Buyout option available)

Work Mode : Full-time | 5 Days Working

About the Role :

We are looking for a highly experienced Azure DevSecOps Engineer with a strong focus on cloud security practices.

This role is 60–70% security-driven, involving threat modeling, secure cloud architecture, and infrastructure security on Azure using Terraform.

Key Responsibilities :

• Architect and maintain secure, scalable Azure cloud infrastructure using Terraform.
• Implement security best practices : IAM, threat modeling, network security, data protection, and compliance (e.g., GDPR).
• Build CI/CD pipelines and automate deployments using Azure DevOps, Jenkins, Prometheus.
• Monitor, analyze, and proactively improve security posture.
• Collaborate with global teams to ensure secure design, development, and operations.
• Stay updated on cloud security trends and lead mitigation efforts.

Mandatory Skills :

Azure, Terraform, DevSecOps, Cloud Security, Threat Modelling, IAM, CI/CD (Azure DevOps), Docker, Kubernetes, Prometheus, Infrastructure as Code (IaC), Compliance Frameworks (GDPR)

Preferred Certifications :

Certified DevSecOps Professional (CDP), Microsoft Azure Certifications

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

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

Job Description :

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

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

Key Responsibilities :

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

Required Qualifications :

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

Preferred Qualifications :

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

Company name: PulseData labs Pvt Ltd (captive Unit for URUS, USA)

About URUS

We are the URUS family (US), a global leader in products and services for Agritech.

SENIOR DATA ENGINEER

This role is responsible for the design, development, and maintenance of data integration and reporting solutions. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles.

Responsibilities

Data Integration

• Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.
• Troubleshoot and resolve Databricks pipeline errors and performance issues.
• Maintain legacy SSIS packages for ETL processes.
• Troubleshoot and resolve SSIS package errors and performance issues.
• Optimize data flow performance and minimize data latency.
• Implement data quality checks and validations within ETL processes.

Databricks Development

• Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL.
• Migrate legacy SSIS packages to Databricks pipelines.
• Optimize Databricks jobs for performance and cost-effectiveness.
• Integrate Databricks with other data sources and systems.
• Participate in the design and implementation of data lake architectures.

Data Warehousing

• Participate in the design and implementation of data warehousing solutions.
• Support data quality initiatives and implement data cleansing procedures.

Reporting and Analytics

• Collaborate with business users to understand data requirements for department driven reporting needs.
• Maintain existing library of complex SSRS reports, dashboards, and visualizations.
• Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.

Collaboration and Communication

• Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
• Collaborate effectively with business users, data analysts, and other IT teams.
• Communicate technical information clearly and concisely, both verbally and in writing.
• Document all development work and procedures thoroughly.

Continuous Growth

• Keep abreast of the latest advancements in data integration, reporting, and data engineering technologies.
• Continuously improve skills and knowledge through training and self-learning.

This job description reflects managements assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.

Requirements

• Bachelor's degree in computer science, Information Systems, or a related field.
• 7+ years of experience in data integration and reporting.
• Extensive experience with Databricks, including Python, Spark, and Delta Lake.
• Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.
• Experience with SSIS (SQL Server Integration Services) development and maintenance.
• Experience with SSRS (SQL Server Reporting Services) report design and development.
• Experience with data warehousing concepts and best practices.
• Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Experience with Agile methodologies.

About the role

Meltwater’s collaborative Security Team needs a passionate Security Engineer to continue to advance Meltwater’s security. Working with a group of fun loving people who are genuinely excited and passionate about security, there will be more laughs than facepalms! If you believe that improving security is about constantly moving technology forward to be more secure, and shifting security tools and checks earlier in the development lifecycle, then you’ll feel at home on Meltwater’s Security Team! 

At Meltwater we want to ensure that we can have autonomous, empowered and highly efficient teams. Our Security Team charges head on into the challenge of ensuring our teams can maintain their autonomy without compromising the security of our systems, services and data. Through enablement and collaboration with teams, Security Engineers ensure that our development and infrastructure practices have security defined, integrated and implemented in a common-sense manner that reduces risk for our business. Security Engineers define best practices, build tools, implement security checks and controls together with the broader Engineering and IT teams to ensure that our employees and our customers' data stays safe. 

As part of this, we leverage AWS as a key component of our cloud infrastructure. Security Engineers play a critical role in securing and optimizing AWS environments by implementing best practices, automating security controls, and collaborating with teams to ensure scalability, resilience, and compliance with industry standards. 

Responsibilities 

• In this role, you will be designing and implementing security functions ranging from checks on IaC (Infrastructure as Code) to SAST/DAST scanners in our CI/CD pipelines.
• You will be collaborating closely with almost every part of the Meltwater organization and help create security impact across all teams with strong support from the business. 
• Collaborate closely with teams to help identify and implement frictionless security controls throughout the software development lifecycle 
• Propose and implement solutions to enhance the overall cloud infrastructure and toolset.
• Perform ongoing security testing, including static (SAST), dynamic (DAST), and penetration testing, along with code reviews, vulnerability assessments, and regular security audits to identify risks, improve security, and develop mitigation strategies. 
• Educate and share knowledge around secure coding practices 
• Identify applicable industry best practices and consult with development teams on methods to continuously improve the risk posture. 
• Build applications that improve our security posture and monitoring/alerting capabilities
• Implement and manage security technologies including firewalls, intrusion detection/prevention systems (IDS/IPS), endpoint protection, and security information and event management (SIEM) tools.
• Conduct vulnerability assessments, penetration testing, and regular security audits to identify risks and develop mitigation strategies. 
• Monitor and respond to security incidents and alerts, performing root cause analysis and incident handling.
• Participate in incident response and disaster recovery planning, testing, and documentation.
• Manage identity and access management (IAM) solutions to enforce least privilege and role-based access controls (RBAC). 
• Assist in the development of automated security workflows using scripting (Python, Bash, or similar).

Skills and background 

• Strong collaboration skills with experience working cross functionally with a diverse group of stakeholders
• Strong communication skills with the ability to provide technical guidance to both technical and non-technical audiences 
• Experience in implementing security controls early in the software development life cycle
• Knowledge of industry accepted security best practices/standards/policies such as NIST, OWASP, CIS, MITRE&ATT@CK 
• Software developer experience in one or more of the following languages: JavaScript, Java, Kotlin or Python
• Experience in at least one public cloud provider, preferably AWS, with experience in security, infrastructure, and automation. 
• Hands-on experience with SIEM platforms such as Splunk, QRadar, or similar. 
• Proficiency in Linux operating system, network security, including firewalls, VPNs, IDS/IPS, and monitoring tools. 
• Experience with vulnerability management tools (Snyk, Nessus, Dependabot) and penetration testing tools (Kali Linux, Metasploit). 
• Experience in forensics and malware analysis. 
• Self motivated learner that continuously wants to share knowledge to improve others 
• The ideal candidate is someone from a Software Development background with a passion for security.

If you’re someone who understands the value of introducing security early in the software development lifecycle, and want to do so by enabling and empowering teams by building tools they WANT to use, we want to hear from you!

Technical Skill Set:

1. ASP. NET Development – Strong expertise in C#, ASP.NET, WPF, and solid understanding of SOLID principles, API development, and databases.

2. Cloud Technologies – Hands-on experience with AWS, Azure, or Google Cloud.

3. Software Development & Architecture – Proficiency in SDLC, Agile, Scrum, and DevOps frameworks.

4. Project Planning & Management – Experience in task allocation, tracking, estimations, and deliverables management.

5. Repository & Version Control – Familiarity with Git, SVN, or similar tools, along with basic networking concepts.

6. Product Lifecycle Management – Knowledge of requirement analysis, documentation, testing, and release management.

7. Project Planning Tools – Experience with tools like Microsoft Project Plan, JIRA, Redmine, or HP ALM/Quality Centre.

Leadership & Soft Skills:

1. Team Leadership – Ability to guide, mentor, and manage a team while ensuring high-quality deliverables within tight deadlines.

2. Client Engagement & Requirement Gathering – Skilled in collaborating with stakeholders to enhance and refine project requirements.

3. Strong Communication & Problem-Solving – Effective at handling challenges, making decisions, and ensuring smooth project execution.

Job Summary:

We are seeking a skilled DevOps Engineer to design, implement, and manage CI/CD pipelines, containerized environments, and infrastructure automation. The ideal candidate should have hands-on experience with ArgoCD, Kubernetes, and Docker, along with a deep understanding of cloud platforms and deployment strategies.

Key Responsibilities:

• CI/CD Implementation: Develop, maintain, and optimize CI/CD pipelines using ArgoCD, GitOps, and other automation tools.
• Container Orchestration: Deploy, manage, and troubleshoot containerized applications using Kubernetes and Docker.
• Infrastructure as Code (IaC): Automate infrastructure provisioning with Terraform, Helm, or Ansible.
• Monitoring & Logging: Implement and maintain observability tools like Prometheus, Grafana, ELK, or Loki.
• Security & Compliance: Ensure best security practices in containerized and cloud-native environments.
• Cloud & Automation: Manage cloud infrastructure on AWS, Azure, or GCP with automated deployments.
• Collaboration: Work closely with development teams to optimize deployments and performance.

Required Skills & Qualifications:

• Experience: 5+ years in DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering.
• Tools & Tech: Strong knowledge of ArgoCD, Kubernetes, Docker, Helm, Terraform, and CI/CD pipelines.
• Cloud Platforms: Experience with AWS, GCP, or Azure.
• Programming & Scripting: Proficiency in Python, Bash, or Go.
• Version Control: Hands-on with Git and GitOps workflows.
• Networking & Security: Knowledge of ingress controllers, service mesh (Istio/Linkerd), and container security best practices.

Nice to Have:

• Experience with Kubernetes Operators, Kustomize, or FluxCD.
• Exposure to serverless architectures and multi-cloud deployments.
• Certifications in CKA, AWS DevOps, or similar.

Position Summary

Designing, developing, and debugging new and existing software using Microsoft .Net tools and database platforms. Work in every level of our technology department, providing solutions to meet the needs of our end-users. A Software Engineer will also document solutions and designs, test code modifications and provide mentoring to programmers and junior developers.

Responsibilities:

• Work closely with senior engineers to develop high-quality software solutions
• Collaborate with team members to analyze user requirements and design software solutions
• Participate in agile development processes, including sprint planning, daily stand-ups, and sprint reviews
• Write clean, maintainable, and efficient code
• Develop and maintain unit tests to ensure code quality
• Contribute to the design and architecture of microservices-based applications
• Collaborate with cross-functional teams to troubleshoot, debug, and optimize software applications

Requirements:

• 5-10 years of experience in software development
• Proficiency in C#, .NET, Microservices architecture, SQL, and Azure services
• Experience with Agile development methodologies
• Strong problem-solving skills and attention to detail
• Ability to work independently and as part of a team
• Excellent communication skills and willingness to ask questions and seek guidance when needed

Additional Preferred Skills:

• Familiarity with other programming languages and technologies is a plus

Job Title: Lead DevOps Engineer

Experience Required: 4 to 5 years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

4 years + of experience in DevOps or Site Reliability Engineering (SRE).

4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

You can directly contact us: Nine three one six one two zero one three two

About the Role:

We are looking for a Software Architect with extensive experience in designing scalable software systems and backend architectures using .NET or Java. This role involves high-level technical decision-making, mentoring engineering teams, and ensuring the technical integrity and evolution of backend systems. Domain experience in healthcare is highly desirable.

Key Responsibilities:

• Architect and design enterprise-level backend systems and scalable APIs.
• Define technology stack, coding standards, and design principles.
• Collaborate with product and engineering teams to translate business needs into technical architecture.
• Review and guide development efforts to align with architectural vision.
• Conduct system performance analysis and ensure robustness and scalability.
• Stay updated with emerging technologies and recommend relevant adoption.

Required Skills:

• 10+ years of hands-on experience in backend development with .NET or Java.
• Proven experience in a Software Architect or equivalent senior-level technical role.
• Expertise in microservices, cloud-native architecture, and design patterns.
• Strong knowledge of SQL/NoSQL databases, API security, and systems integration.
• Experience in system design, documentation, and architectural diagrams.

Preferred Skills:

• Deep understanding of the healthcare domain and its compliance requirements.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Exposure to DevOps, CI/CD pipelines, and monitoring tools.
• Familiarity with frontend stacks and full-stack application design.

What We Offer:

• Strategic and impactful role in shaping product architecture.
• Collaborative and forward-thinking environment.
• Opportunities for professional growth and innovation.
• Flexibility in working model with a focus on delivery.

As a Principal Software Engineer on our team, you will:

• Design and deliver the next generation of Toast products using our technology stack, which includes Kotlin, DynamoDB, React, Pulsar, Apache Camel, GraphQL, and Big Data technologies.
• Collaborate with our Data Platform teams to develop best-in-class reporting and analytics products.
• Document solution designs, write and review code, test, and roll out solutions to production. Capture and act on customer feedback to iteratively enhance the customer experience.
• Work closely with peers to optimize solution design for performance, flexibility, and scalability — enabling multiple product and engineering teams to work on a shared framework and platform.
• Partner with UX, Product Management, QA, and other engineering teams to build robust, high-quality solutions in a fast-moving, complex environment.
• Coach and mentor engineers on best practices and modern software development standards.

Do you have the right ingredients? (Requirements)

• 12+ years of software development experience.
• Proven experience in delivering high-quality, reliable, and scalable services to production in a continuous delivery environment.
• Expertise in AI, Cloud technologies, Image Processing, and Full Stack Development.
• Strong database skills, proficient in SQL Server, PostgreSQL, or DynamoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Proficient in one or more object-oriented programming languages like Java, Kotlin, or C#.
• Hands-on experience working in Agile/Scrum environments.
• Demonstrated ability to lead the development and scaling of mission-critical platform components.
• Strong problem-solving skills, with the ability to navigate complex and ambiguous challenges and clearly communicate solutions.
• Skilled in balancing delivery speed with platform stability.
• Passionate about writing clean, maintainable, and impactful code.
• Experience in mentoring and coaching other engineers.

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, focusing on Large Language Models (LLMs) and other deep learning applications.
• End-to-End Model Development: Lead the entire lifecycle of AI models—from data collection and preprocessing to training, fine-tuning, evaluation, and deployment.
• Fine-Tuning & Customization: Leverage techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications.
• Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1, exploring their applications in enterprise AI workflows.
• Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes.
• Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications.
• MLOps & CI/CD Pipelines: Implement best practices for MLOps, ensuring automated training, deployment, monitoring, and continuous improvement of AI models.
• Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable.
• API Development & Microservices: Develop RESTful APIs and microservices to integrate AI models seamlessly into enterprise applications.
• Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines.
• Collaboration & Stakeholder Engagement: Work closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions.
• Mentorship & Technical Leadership: Guide and mentor junior engineers, fostering best practices in AI/ML development, model fine-tuning, and software engineering.
• Research & Innovation: Stay updated with emerging AI trends, conduct experiments with cutting-edge architectures and fine-tuning techniques, and drive innovation within the team.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 5-8 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications 

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly

We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Roles & Responsibilities: 

• Design and implement software solutions that power machine learning models, particularly in LLMs 
• Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects 
• Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges 
• Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility 
• Design and implement a scale infrastructure for developing and deploying GenAI solutions 
• Support model deployment and API integration to ensure interaction with existing enterprise systems.

Basic Qualifications: 

• A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field 
• Experience: 3-5 Years 
• Strong programming skills in Python and Java 
• Good understanding of machine learning fundamentals 
• Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn) 
• Familiar with frontend development and frameworks like React 
• Basic knowledge of LLMs and transformer-based architectures is a plus.

Preferred Qualifications 

• Excellent problem-solving skills and an eagerness to learn in a fast-paced environment 
• Strong attention to detail and ability to communicate technical concepts clearly 

Has substantial expertise in Linux OS, Https, Proxy knowledge, Perl, Python scripting & hands-on

Is responsible for the identification and selection of appropriate network solutions to design and deploy in environments based on business objectives and requirements.

Is skilled in developing, deploying, and troubleshooting network deployments, with deep technical knowledge, especially around Bootstrapping & Squid Proxy, Https, scripting equivalent knowledge. Further align the network to meet the Company’s objectives through continuous developments, improvements and automation.

Preferably 10+ years of experience in network design and delivery of technology centric, customer-focused services.

Preferably 3+ years in modern software-defined network and preferably, in cloud-based environments.

Diploma or bachelor’s degree in engineering, Computer Science/Information Technology, or its equivalent.

Preferably possess a valid RHCE (Red Hat Certified Engineer) certification

Preferably possess any vendor Proxy certification (Forcepoint/ Websense/ bluecoat / equivalent)

Must possess advanced knowledge in TCP/IP concepts and fundamentals.  Good understanding and working knowledge of Squid proxy, Https protocol / Certificate management.

Fundamental understanding of proxy & PAC file.

Integration experience and knowledge between modern networks and cloud service providers such as AWS, Azure and GCP will be advantageous.

Knowledge in SaaS, IaaS, PaaS, and virtualization will be advantageous.

Coding skills such as Perl, Python, Shell scripting will be advantageous.

Excellent technical knowledge, troubleshooting, problem analysis, and outside-the-box thinking.

Excellent communication skills – oral, written and presentation, across various types of target audiences.

Strong sense of personal ownership and responsibility in accomplishing the organization’s goals and objectives. Exudes confidence, able to cope under pressure and will roll-up his/her sleeves to drive a project to success in a challenging environment.

Responsibilities:

• Work closely with senior engineers to develop high-quality software solutions
• Collaborate with team members to analyze user requirements and design software solutions
• Participate in agile development processes, including sprint planning, daily stand-ups, and sprint reviews
• Write clean, maintainable, and efficient code
• Develop and maintain unit tests to ensure code quality
• Contribute to the design and architecture of microservices-based applications
• Collaborate with cross-functional teams to troubleshoot, debug, and optimize software applications

Requirements:

• 8+ years of experience in software development
• Proficiency in C#, .NET, Microservices architecture, SQL, and Azure services
• Experience with Agile development methodologies
• Strong problem-solving skills and attention to detail
• Ability to work independently and as part of a team
• Excellent communication skills and willingness to ask questions and seek guidance when needed

Additional Preferred Skills:

• Familiarity with other programming languages and technologies is a plus

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 Senior Software Development Engineer – Data Engineering with 5-8 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions. 

Key Roles & Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines using Apache Spark, PySpark, Databricks, and Snowflake.
• Implement real-time and batch data processing workflows in cloud environments (AWS, Azure, GCP).
• Develop high-performance, scalable data pipelines for structured, semi-structured, and unstructured data.
• Work with Delta Lake and Lakehouse architectures to improve data reliability and efficiency.
• Optimize Snowflake and Databricks performance, including query tuning, caching, partitioning, and cost optimization.
• Implement data governance, security, and compliance best practices.
• Build and maintain data models, transformations, and data marts for analytics and reporting.
• Collaborate with data scientists, analysts, and business teams to define data engineering requirements.
• Automate infrastructure and deployments using Terraform, Airflow, or dbt.
• Monitor and troubleshoot data pipeline failures, performance issues, and bottlenecks.
• Develop and enforce data quality and observability frameworks using Great Expectations, Monte Carlo, or similar tools.

Basic Qualifications:

• Bachelor’s or Master’s Degree in Computer Science or Data Science.
• 5–8 years of experience in data engineering, big data processing, and cloud-based data platforms.
• Hands-on expertise in Apache Spark, PySpark, and distributed computing frameworks.
• Strong experience with Snowflake (Warehouses, Streams, Tasks, Snowpipe, Query Optimization).
• Experience in Databricks (Delta Lake, MLflow, SQL Analytics, Photon Engine).
• Proficiency in SQL, Python, or Scala for data transformation and analytics.
• Experience working with data lake architectures and storage formats (Parquet, Avro, ORC, Iceberg).
• Hands-on experience with cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
• Experience in workflow orchestration tools like Apache Airflow, Prefect, or Dagster.
• Strong understanding of data governance, access control, and encryption strategies.
• Experience with CI/CD for data pipelines using GitOps, Terraform, dbt, or similar technologies.

Preferred Qualifications:

• Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
• Experience in BI and analytics tools (Tableau, Power BI, Looker).
• Familiarity with data observability tools (Monte Carlo, Great Expectations).
• Experience with machine learning feature engineering pipelines in Databricks.
• Contributions to open-source data engineering projects.

Technical Skills:

• Hands-on experience with AWS, Google Cloud Platform (GCP), and Microsoft Azure cloud computing
• Proficiency in Windows Server and Linux server environments
• Proficiency with Internet Information Services (IIS), Nginx, Apache, etc.
• Experience in deploying .NET applications (ASP.NET, MVC, Web API, WCF, etc.),  .NET Core, Python and Node.js  applications etc.
• Familiarity with GitLab or GitHub for version control and Jenkins for CI/CD processes

Key Responsibilities:

• ☁️ Manage cloud infrastructure and automation on AWS, Google Cloud (GCP), and Azure.
• 🖥️ Deploy and maintain Windows Server environments, including Internet Information Services (IIS).
• 🐧 Administer Linux servers and ensure their security and performance.
• 🚀 Deploy .NET applications (ASP.Net, MVC, Web API, WCF, etc.) using Jenkins CI/CD pipelines.
• 🔗 Manage source code repositories using GitLab or GitHub.
• 📊 Monitor and troubleshoot cloud and on-premises server performance and availability.
• 🤝 Collaborate with development teams to support application deployments and maintenance.
• 🔒 Implement security best practices across cloud and server environments.

Required Skills:

• ☁️ Hands-on experience with AWS, Google Cloud (GCP), and Azure cloud services.
• 🖥️ Strong understanding of Windows Server administration and IIS.
• 🐧 Proficiency in Linux server management.
• 🚀 Experience in deploying .NET applications and working with Jenkins for CI/CD automation.
• 🔗 Knowledge of version control systems such as GitLab or GitHub.
• 🛠️ Good troubleshooting skills and ability to resolve system issues efficiently.
• 📝 Strong documentation and communication skills.

Preferred Skills:

• 🖥️ Experience with scripting languages (PowerShell, Bash, or Python) for automation.
• 📦 Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
• 🔒 Understanding of networking concepts, firewalls, and security best practices.

Job responsibilities:

• Reviewing infra-architecture of application against well architected framework.
• Design ana execute the overall strategic roadmap for the cloud architecture.
• Deploying nfrastructure for Cloud as well as guiding other teams for deployment infra and application.
• Guide and support application team through cloud jourey from O-day to go-live.
• Collaborating with engineering and development teams to evaluate and identify optimal cloud solutions
• Define standards (and/or select cloud vendor products) for the overall architecture in coordination with the solution architects and engineering leads
• Continue improving cloud product reliability, availability, maintain ability & cost/benefit-incl. developing fault-tolerant tools to ensure general robustness of the cloud infra
• Manage capacity across public and private cloud resource pools-incl. automating scale down/up of environments
• Support developers in optimizing and automating cloud engineering activities -e.g. real time migration, provisioning and deployment, etc.
• Provide inputs to IT financial management for cloud -costs associated with capacity build-out, forecast for cloud IT investments, etc.
• Developing and maintaining cloud solutions in accordance with best practices.
• Ensuring efficient functioning of cloud resources/ functions in accordance with company security policies and best practices in cloud security
• Educate teams on the implementation of new cloud-based initiatives
• Employ exceptional problem-solving skills, with the ability to see and solve issues before they affect business productivity
• Orchestrating and automating cloud-based platforms throughout the company.

Requirements

• 10+ years of experience in engineering infrastructure design: 6+ years in cloud engineering roles with experience in Datalake / architect.
• Expertise in developing terraform code.
• Expertise in deploying azure infrastructure.
• Expertise in Deploying and managing data engineering related services like Databricks (including unity Catalog), Datafactory. Engineer needs to work in tandem with Data engineering developer, so should have good knowledge on ADB Notebooks, ADB Cluster, ADF Linked services & different types of IR.
• Networking behaviour of ADB and ADF.Experience in deploying using terraform enterprise and GitHub.
• Expertise in developing Azure PowerShell script.
• Expertise in Azure CLI.
• Basic familiarity with network and security features e.g. cloud network topology, BGP, routing, TCP/IP, DNS, SMTP, HTTPS, Security, Guardrails etc.High availability engineering experience (region, availability zone, data replication clustering)
• Awareness in open-source tools & scripting language (powershell, Shell).
• Deep understanding of software development lifecycles and cloud economics, incl. knowledge of consumption-driven TCO
• Good knowledge of security implications of public & private cloud infra design
• Azure certifications preferred.
• Basic Database experience, including knowledge of SQL and NoSQL, and related data stores such as Postgres.
• Good communication and collaboration skills.
• Client management skills.
• Expertise in deploying Azure services like AKS, AML, ADB, ADF, PAAS DB (Cosmos DB, SQL, Postgres), Azure Al services (Custom Vision, Document Intelligence, QnA maker, OpenAl), Azure Open Shift.
• Expertise in troubleshooting deployment /network related issues for cloud infrastructure.

Job Description:

Deqode is seeking a skilled .NET Full Stack Developer with expertise in .NET Core, Angular, and C#. The ideal candidate will have hands-on experience with either AWS or Azure cloud platforms. This role involves developing robust, scalable applications and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities:

• Develop and maintain web applications using .NET Core, C#, and Angular.
• Design and implement RESTful APIs and integrate with front-end components.
• Collaborate with UI/UX designers, product managers, and other developers to deliver high-quality products.
• Deploy and manage applications on cloud platforms (AWS or Azure).
• Write clean, scalable, and efficient code following best practices.
• Participate in code reviews and provide constructive feedback.
• Troubleshoot and debug applications to ensure optimal performance.
• Stay updated with emerging technologies and propose improvements to existing systems.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 4 years of professional experience in software development.
• Proficiency in .NET Core, C#, and Angular.
• Experience with cloud services (either AWS or Azure).
• Strong understanding of RESTful API design and implementation.
• Familiarity with version control systems like Git.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a team environment.

Preferred Qualifications:

• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
• Knowledge of CI/CD pipelines and DevOps practices.
• Familiarity with Agile/Scrum methodologies.
• Strong communication and interpersonal skills.

What We Offer:

• Competitive salary and performance-based incentives.
• Flexible working hours and remote work options.
• Opportunities for professional growth and career advancement.
• Collaborative and inclusive work environment.
• Access to the latest tools and technologies.

Senior Data Engineer

Location: Bangalore, Gurugram (Hybrid)

Experience: 4-8 Years

Type: Full Time | Permanent

Job Summary:

We are looking for a results-driven Senior Data Engineer to join our engineering team. The ideal candidate will have hands-on expertise in data pipeline development, cloud infrastructure, and BI support, with a strong command of modern data stacks. You’ll be responsible for building scalable ETL/ELT workflows, managing data lakes and marts, and enabling seamless data delivery to analytics and business intelligence teams.

This role requires deep technical know-how in PostgreSQL, Python scripting, Apache Airflow, AWS or other cloud environments, and a working knowledge of modern data and BI tools.

Key Responsibilities:

PostgreSQL & Data Modeling

· Design and optimize complex SQL queries, stored procedures, and indexes

· Perform performance tuning and query plan analysis

· Contribute to schema design and data normalization

Data Migration & Transformation

· Migrate data from multiple sources to cloud or ODS platforms

· Design schema mapping and implement transformation logic

· Ensure consistency, integrity, and accuracy in migrated data

Python Scripting for Data Engineering

· Build automation scripts for data ingestion, cleansing, and transformation

· Handle file formats (JSON, CSV, XML), REST APIs, cloud SDKs (e.g., Boto3)

· Maintain reusable script modules for operational pipelines

Data Orchestration with Apache Airflow

· Develop and manage DAGs for batch/stream workflows

· Implement retries, task dependencies, notifications, and failure handling

· Integrate Airflow with cloud services, data lakes, and data warehouses

Cloud Platforms (AWS / Azure / GCP)

· Manage data storage (S3, GCS, Blob), compute services, and data pipelines

· Set up permissions, IAM roles, encryption, and logging for security

· Monitor and optimize cost and performance of cloud-based data operations

Data Marts & Analytics Layer

· Design and manage data marts using dimensional models

· Build star/snowflake schemas to support BI and self-serve analytics

· Enable incremental load strategies and partitioning

Modern Data Stack Integration

· Work with tools like DBT, Fivetran, Redshift, Snowflake, BigQuery, or Kafka

· Support modular pipeline design and metadata-driven frameworks

· Ensure high availability and scalability of the stack

BI & Reporting Tools (Power BI / Superset / Supertech)

· Collaborate with BI teams to design datasets and optimize queries

· Support development of dashboards and reporting layers

· Manage access, data refreshes, and performance for BI tools

Required Skills & Qualifications:

· 4–6 years of hands-on experience in data engineering roles

· Strong SQL skills in PostgreSQL (tuning, complex joins, procedures)

· Advanced Python scripting skills for automation and ETL

· Proven experience with Apache Airflow (custom DAGs, error handling)

· Solid understanding of cloud architecture (especially AWS)

· Experience with data marts and dimensional data modeling

· Exposure to modern data stack tools (DBT, Kafka, Snowflake, etc.)

· Familiarity with BI tools like Power BI, Apache Superset, or Supertech BI

· Version control (Git) and CI/CD pipeline knowledge is a plus

· Excellent problem-solving and communication skills

Title: Senior Software Engineer – Python (Remote: Africa, India, Portugal)

Experience: 9 to 12 Years

INR : 40 LPA - 50 LPA

Location Requirement: Candidates must be based in Africa, India, or Portugal. Applicants outside these regions will not be considered.

Must-Have Qualifications:

• 8+ years in software development with expertise in Python
• kubernetes is important
• Strong understanding of async frameworks (e.g., asyncio)
• Experience with FastAPI, Flask, or Django for microservices
• Proficiency with Docker and Kubernetes/AWS ECS
• Familiarity with AWS, Azure, or GCP and IaC tools (CDK, Terraform)
• Knowledge of SQL and NoSQL databases (PostgreSQL, Cassandra, DynamoDB)
• Exposure to GenAI tools and LLM APIs (e.g., LangChain)
• CI/CD and DevOps best practices
• Strong communication and mentorship skills

Role - Sr. QA Engineer

Location- Gurgaon

Mode - Hybrid

Experience - 6 Years

Notice Period:- Immediate Joiner

Must-Have:

- Experience in QA automation/platform QA

- Experience in Playwright, Selenium, Rest Assured

- Strong in API & load testing (JMeter, k6)

- GCP or Azure experience

- CI/CD: GitHub Actions, Jenkins

- Drive test automation, CI/CD quality gates, chaos testing & more.

What’s this role really about?

At Digicorp, we don’t just ship code — we build products that matter. We’re looking for a well-rounded full-stack developer who’s confident working with both the front end and the back end. If you’re someone who enjoys owning features end-to-end and is equally excited about clean APIs and sleek UI, read on.

What kind of person thrives here?

• You’ve got 3+ years of solid experience in Node.js and React, and at least 1 year of Angular under your belt.
• You’re comfortable switching between React and Angular without thinking twice.
• You care about the user experience, not just the functionality.
• You’re someone who asks questions, proposes ideas, and doesn’t just “follow specs.”
• You like working closely with designers, QAs, and product folks.
• You write clean, maintainable, and testable code.
• You’ve worked with Python for at least 6 months and naturally look for ways to apply AI to solve real problems, that’s a big plus in our eyes.
• Familiarity with Azure infrastructure is also something we value.
• 
  

What will you do here (besides writing code)?

• Build and improve web apps that real users rely on
• Break down problems with the team and solve them together
• Review others’ code — and have yours reviewed (with kindness!)
• Keep performance, security, and scalability in mind as you build
• Contribute to a culture of learning, sharing, and quality

We’re not just hiring a developer. We’re adding a team member who’ll help us think, build, learn, and grow — together.

Position: Project Manager

Location: Bengaluru, India (Hybrid/Remote flexibility available)

Company: PGAGI Consultancy Pvt. Ltd

About PGAGI

At PGAGI, we are building the future where human and artificial intelligence coexist to solve complex problems, accelerate innovation, and power sustainable growth. We develop and deploy advanced AI solutions across industries, making AI not just a tool but a transformational force for businesses and society.

Position Summary

PGAGI is seeking a dynamic and experienced Project Manager to lead cross-functional engineering teams and drive the successful execution of multiple AI/ML-centric projects. The ideal candidate is a strategic thinker with a solid background in engineering-led product/project management, especially in AI/ML product lifecycles. This role is crucial to scaling our technical operations, ensuring seamless collaboration, timely delivery, and high-impact results across initiatives.

Key Responsibilities

• Lead Engineering Teams Across AI/ML Projects: Manage and mentor cross-functional teams of ML engineers, DevOps professionals, and software developers through agile delivery cycles, ensuring timely and high-quality execution of AI-focused initiatives.

• Drive Agile Project Execution: Define project scope, objectives, timelines, and deliverables using Agile/Scrum methodologies. Ensure continuous sprint planning, backlog grooming, and milestone tracking via tools like Jira or GitHub Projects.

• Manage Multiple Concurrent Projects: Oversee the full lifecycle of multiple high-priority projects—ranging from AI model development and infrastructure integration to client delivery and platform enhancements.

• Collaborate with Technical and Business Stakeholders: Act as the bridge between engineering, research, and client-facing teams, translating complex requirements into actionable tasks and product features.

• Maintain Engineering and Infrastructure Quality: Uphold rigorous engineering standards across deployments. Coordinate testing, model performance validation, version control, and CI/CD operations.

• Budget and Resource Allocation: Optimize resource distribution across teams, track project costs, and ensure effective use of cloud infrastructure and personnel to maximize project ROI.

• Risk Management & Mitigation: Identify risks proactively across technical and operational layers. Develop mitigation plans and troubleshoot issues that may impact timelines or performance.

• Monitor KPIs and Delivery Metrics: Establish and monitor performance indicators such as sprint velocity, deployment frequency, incident response times, and customer satisfaction for each release.

• Support Continuous Improvement: Foster a culture of feedback and iteration. Champion retrospectives and process reviews to continually refine development practices and workflows.

Qualifications:

• Education: Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.

• Experience: Minimum 5 years of experience as a Project Manager, with at least 2 years managing AI/ML or software engineering teams.

• Tech Expertise: Familiarity with AI/ML lifecycles, cloud platforms (AWS, GCP, or Azure), and DevOps pipelines (Docker, Kubernetes, GitHub Actions, Jenkins).

• Tools: Strong experience with Jira, Confluence, and project tracking/reporting tools.

• Leadership: Proven success leading high-performing engineering teams in a fast-paced, innovative environment.

• Communication: Excellent written and verbal skills to interface with both technical and non-technical stakeholders.

• Certifications (Preferred): PMP, CSM, or certifications in AI/ML project management or cloud technologies.

Why Join PGAGI?

• Lead cutting-edge AI/ML product teams building scalable, impactful solutions.

• Be part of a fast-growing, innovation-driven startup environment.

• Enjoy a collaborative, intellectually stimulating workplace with growth opportunities.

• Competitive compensation and performance-based rewards.

• Access to learning resources, mentoring, and AI/DevOps communities.