50+ Windows Azure Jobs in India

Company Overview:

Euphoric Thought Technologies is a dynamic and innovative technology company specializing in providing cutting-edge automation solutions for businesses across various sectors. We empower organizations to streamline their processes, enhance efficiency, and achieve significant cost savings through intelligent automation strategies. Our expertise spans across diverse platforms, enabling us to deliver tailored solutions that meet the unique needs of our clients.

Role Overview:

As a Python Automation Developer at Euphoric Thought Technologies, you will be instrumental in designing, developing, and implementing robust automation frameworks and scripts to ensure the quality and reliability of our software solutions. You will collaborate closely with development, QA, and DevOps teams to identify automation opportunities, build efficient test suites, and contribute to continuous integration and continuous delivery (CI/CD) pipelines. Your work will directly impact the speed and quality of our software releases, enabling us to deliver exceptional value to our customers.

Key Responsibilities:

- Design and develop automation frameworks using Python to validate .Net and C# based applications.

- Create and maintain automated test scripts for REST APIs, focusing on JSON data validation.

- Integrate automated tests into CI/CD pipelines using Azure DevOps to ensure continuous testing.

- Collaborate with developers and QA engineers to identify and resolve defects, improving overall software quality.

- Analyze test results and generate comprehensive reports to communicate testing progress and identify areas for improvement.

- Contribute to the development of automation best practices and standards to enhance team efficiency.

- Maintain and enhance existing automation frameworks to adapt to evolving project requirements.

- Participate in code reviews to ensure code quality and adherence to coding standards.

Required Skillset:

- Demonstrated proficiency in Python programming for automation, including experience with relevant libraries and frameworks.

- Solid understanding of software testing principles and methodologies, with experience in developing and executing automated test cases.

- Experience with REST API testing and JSON data validation.

- Familiarity with .Net and C# development environments.

- Experience with Azure DevOps for CI/CD and test automation.

- Strong analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's degree in Computer Science or a related field.

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment. We're seeking an experienced Backend Software Engineer to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic.

Responsibilities:

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

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

● Participate in code reviews and contribute to the improvement of the codebase

● Debug and resolve issues in the existing codebase

● Develop and execute unit tests to ensure high code quality

● Work with DevOps engineers to ensure seamless deployment of software changes

● Monitor application performance, identify bottlenecks, and optimize systems for better scalability and efficiency

● Stay up-to-date with industry trends and emerging technologies; advocate for best practices and new ideas within the team

● Collaborate with cross-functional teams to identify and prioritize project requirements

Requirements:

● At least 5+ years of experience building scalable and reliable backend systems

● Strong expertise in NodeJS/NestJS, Express, PostgreSQL

● Experience with microservices architecture and distributed systems

● Proficiency in database design (SQL and NoSQL)

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

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

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

● Exceptional communication and leadership skills

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

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

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

Job Title: Azure Data Engineer

Experience Required: 7+ Years

Location: Coimbatore

Employment Type: Full-time

Job Summary

We are looking for an experienced Azure Data Engineer with 7+ years of hands-on experience in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong expertise in Azure Data Factory, Azure Databricks, Azure Data Lake, SQL, PySpark, and ETL/ELT pipelines, along with experience in data warehousing and cloud-based data architecture.

The candidate should be capable of building robust data pipelines, optimizing data workflows, and supporting business intelligence and analytics initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) and Azure Databricks
• Implement ETL/ELT processes for structured and unstructured data from multiple sources
• Work extensively with Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and Azure SQL Database
• Develop and optimize PySpark and Spark SQL workflows in Databricks
• Perform data transformation, cleansing, validation, and enrichment processes
• Build and maintain data models for reporting, analytics, and business intelligence solutions
• Collaborate with business stakeholders, data analysts, and architects to understand data requirements
• Ensure data quality, governance, security, and compliance standards are maintained
• Monitor and troubleshoot data workflows and optimize performance for large-scale data processing
• Support migration of on-premises data platforms to Azure Cloud environment
• Create technical documentation and maintain best practices for data engineering processes

Required Skills

Technical Skills

• Strong hands-on experience in Microsoft Azure Cloud Platform
• Expertise in Azure Databricks with strong PySpark experience
• Experience with Azure Data Factory (ADF)
• Good knowledge of Azure Data Lake Storage (ADLS Gen2)
• Experience in Azure Synapse Analytics
• Strong SQL skills with performance tuning experience
• Experience with ETL/ELT pipeline development
• Understanding of Data Warehousing concepts
• Experience with Delta Lake, Spark optimization, and partitioning strategies
• Exposure to CI/CD pipelines, DevOps, and deployment automation
• Knowledge of Power BI is an added advantage
• Familiarity with Git, version control, and Agile methodology

Soft Skills

• Strong analytical and problem-solving skills
• Good communication and stakeholder management
• Ability to work independently and in team environments
• Strong debugging and troubleshooting capability

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, IT, or related field
• Microsoft Azure certifications are preferred
• Experience working in enterprise-scale data environments
• Exposure to big data technologies is an added advantage

Nice to Have

• Experience in Snowflake, Kafka, or Airflow
• Exposure to Machine Learning data pipelines
• Knowledge of real-time streaming solutions using Azure Event Hub or Stream Analytics

Notice Period Preference

Immediate joiners or candidates with short notice period preferred.

About Us:

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

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

What You'll Do

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

We're Looking For

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

This Role Is Not For You If…

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

Why Join Us

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

We're a small, high-output technology consultancy based in London, building AI-powered platforms for the construction and real estate industry. We work with enterprise clients and develop our own products. You'll be building real things that ship.

We're looking for a full-stack developer who has hands-on experience integrating AI into products - not just someone who's done a tutorial on LangChain, but someone who's actually built features powered by LLMs, embeddings, or AI APIs and shipped them to real users.

What you'll do

Build and maintain full-stack web applications using React/Next.js on the frontend and Node.js or Python on the backend

Integrate LLM APIs (Claude, OpenAI, etc.) into production workflows — including prompt engineering, structured outputs, tool use, and retrieval-augmented generation

Work with MCP (Model Context Protocol) servers and AI agent architectures as part of our platform integrations

Design and build APIs that connect AI capabilities to user-facing features

Contribute to data pipelines that feed AI systems — document parsing, embedding generation, vector storage

Work directly with the team on architecture decisions — no layers of project managers

What we're looking for

3–8 years of professional full-stack development experience

Strong React/Next.js and Node.js or Python (ideally both)

Genuine, demonstrable experience integrating AI/LLM capabilities into a product — tell us what you built, how the AI was used, and what you learned

Familiarity with at least some of: LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, pgvector), embedding models, RAG pipelines, prompt engineering patterns

Comfortable with REST APIs, PostgreSQL, and modern deployment (Docker, CI/CD)

Exposure to or interest in MCP (Model Context Protocol), AI agents, and tool-use patterns is a strong plus

Solid written English — you'll be communicating daily with a UK-based team via async standups and weekly video calls

Willingness to overlap with UK hours for at least 4–5 hours daily (roughly 1:30 PM – 6:30 PM IST)

Product company or startup background preferred over services/outsourcing firms

What we offer

Cutting-edge AI and LLM work — not a legacy codebase

Exposure to MCP integrations, Claude API, and modern AI tooling before most developers even hear about it

Potential for long-term engagement with room to grow into a tech lead role

Flexible hours outside the overlap window

One paid day off per month

Software Developer (Backend) - .Net with Microservices & Cloud - Sharc Hire

Full-time

Hyderabad, Telangana, India

Quick Facts About the Role

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

YOE: 3 - 6 years

Skills: Microservices Architecture, ASP.NET Core, Web API development, Azure Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure Functions, Azure Blob storage, Caching, NoSQL Databases

About the role: The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software that solves real problems. Strives for security, performance, simplicity, usability, and maintainability. Mentors and guides less experienced software engineers.

Responsibilities:

1. Team Contribution
2. Works within established agile methods, promoting an atmosphere of continuous improvement.
3. Continuously learns new technologies and patterns and practices.
4. Documents knowledge for the benefit of the team.
5. Reports to the team on obstacles and roadblocks.
6. Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team meetings.
7. Promote patterns and best practices on the team.
8. Mentors and guides the less experienced software engineers.

Planning and Design

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

Estimates effort for planning purposes.

Designs and documents enterprise-level software architecture, consulting with Enterprise Architecture when appropriate.

1. Development
2. Writes code to develop software that meets requirements and specifications.
3. Follows established software development life cycle (SLDC).
4. Writes code with readability and future maintenance in mind.
5. Follows established source control standards and best practices.
6. Adheres to established secure coding practices.
7. Reviews code for other developers.
8. Leads team-based development efforts.
9. Quality Assurance
10. Validates QA findings and fixes defects.
11. Develops integration and testing points in the software that allow for QA testing.
12. Assists QA in running performance and load tests.
13. Release
14. Assists with release planning and releases.
15. Support
16. Assists the support team as needed, including root cause analysis.
17. Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements:

• Solid Understanding of The Following:
• Microservices Architecture:
• Microservices design principles (bounded contexts, loose coupling)
• API-first design and contract management
• Event-driven design principles
• Asynchronous messaging patterns
• Eventual consistency concepts
• Idempotency and message replay handling
• ASP.NET Core Web API development
• Web Apps
• Azure Kubernetes Service (AKS)
• Azure Blob Storage usage and lifecycle management
• API Gateway / Azure API Management concepts
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Caching
• NoSQL Databases

Processes & Standards: Git, GitFlow, OO Programming, Kanban, Secure Coding, & Agile Methodologies

Bonus Skills:

• Excellent written and verbal communication
• Excellent documentation
• Continuous learning
• Collaboration across team and functional boundaries
• Troubleshooting and creative problem solving
• Design simple architecture that supports complex applications and APIs
• Architect extensible databases
• Author complex component-based client applications and restful APIs
• Perform advanced CRUD operations against multiple data sources
• Manipulate enterprise level data structures
• Mentor less experienced team members
• Take ownership of team processes and legacy applications
• Perform business analysis tasks, such as requirements gathering and wireframing

We are looking for a Senior Software Engineer with 4+ years of professional experience to join our engineering team. You will be a key contributor to our cloud ecosystem, focusing on building high-performance, REST-based ASP.NET Core applications. A major part of this role involves leveraging the Azure platform to ensure our infrastructure is secure, observable, and scalable.

Key Responsibilities:

• API Development: Design and develop scalable, high-availability RESTful APIs using ASP.NET Core.
• Clean Architecture: Apply advanced Dependency Injection (DI) and SOLID principles to maintain a decoupled and testable codebase.
• Identity & Security: Manage Azure App Registrations, including Service Principals, OAuth2 permissions, and Client Secrets, to secure cross-service communication.
• Observability: Implement and monitor application health using Azure App Insights, creating custom telemetry and alerts to proactively resolve issues.
• Collaboration: Partner with data engineers and front-end teams to integrate diverse cloud components into a cohesive user experience.

Technical Requirements (Must-Have):

• Core Development: 5-8 years of deep expertise in C# and ASP.NET Core (Web API).
• Design Patterns: Expert-level understanding of the Dependency Injection pattern (Autofac, Microsoft.Extensions.DependencyInjection, etc.).
• Azure Infrastructure: Hands-on experience with:
• App Registrations (Identity/Security)
• Application Insights (Monitoring/Telemetry)
• Azure App Services (Deployment/Hosting)
• API Standards: Strong experience in RESTful architecture and JSON-based communication.

Good to Have:

• NoSQL Mastery: Experience with Azure Cosmos DB (document modeling, partitioning, and RU management).
• Big Data Integration: Experience with Azure Databricks (Spark, notebooks, or data processing pipelines).
• Full-Stack Capability: Proficiency in Angular (v14+) or modern React to build and maintain UI components.

Company Description: Bits in Glass - India

Industry Leader:

• Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.
• Offices across three locations in India: Pune, Hyderabad & Chandigarh.
• Specialized Pega partner since 2017, delivering Pega solutions with deep industry expertise and experience.
• Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.
• Elite Appian partner since 2008, delivering Appian solutions with deep industry expertise and experience.
• Operating in the United States, Canada, United Kingdom, and India.
• Dedicated global Pega CoE to support our customers and internal dev teams.
• Specializes in Databricks, AI, and cloud-based data engineering to help companies transition from manual to automated workflows.

Employee Benefits:

• Career Growth: Opportunities for career advancement and professional development.
• Challenging Projects: Work on innovative, cutting-edge projects that make a global impact. 
• Global Exposure: Collaborate with international teams and clients to broaden your professional network.
• Flexible Work Arrangements: Support for work-life balance through flexible working conditions.
• Comprehensive Benefits: Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
• Learning Opportunities- Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.

Company Culture:

• Collaborative Environment: Emphasizes teamwork, innovation, and knowledge sharing.
• Inclusive Workplace: Values diversity and fosters an inclusive environment where all ideas are respected.
• Continuous Learning: Encourages professional development through ongoing learning opportunities and certifications.
• Core Values:
• Integrity: Commitment to ethical practices and transparency in all business dealings.
• Excellence: Strive for the highest standards in everything we do.
• Client-Centric Approach: Focus on delivering the best solutions tailored to client needs.

About the Role

We are looking for a skilled and passionate Python Developer with strong experience in Flask framework to join our growing development team. The ideal candidate should have hands-on experience in developing scalable backend applications, REST APIs, and integrating databases/services in a fast-paced environment.

Key Responsibilities

• Develop, test, and maintain backend applications using Python and Flask.
• Design and build RESTful APIs for web and mobile applications.
• Collaborate with frontend developers, QA teams, and product stakeholders.
• Write reusable, scalable, and efficient code.
• Integrate third-party APIs and services.
• Optimize application performance and troubleshoot issues.
• Work with databases and ensure data security and integrity.
• Participate in code reviews and technical discussions.
• Maintain proper documentation for development activities.

Required Skills

• 3+ years of experience in Python development.
• Strong hands-on experience with Flask framework.
• Good understanding of REST API development.
• Experience with MySQL/PostgreSQL/MongoDB databases.
• Familiarity with ORM libraries such as SQLAlchemy.
• Knowledge of Git/version control systems.
• Understanding of software development lifecycle and agile methodologies.
• Basic understanding of Docker and deployment processes is an added advantage.
• Good debugging and problem-solving skills.

Preferred Skills

• Experience with AWS/Azure or cloud platforms.
• Exposure to microservices architecture.
• Familiarity with CI/CD pipelines.
• Knowledge of frontend technologies like React or Angular is a plus.

Educational Qualification

• Bachelor’s degree in Computer Science, Information Technology, or related field.

What We’re Looking For

• Immediate joiner or candidates with short notice period.
• Strong communication and teamwork skills.
• Self-driven and proactive mindset.

Build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. Hands-on role focused on shipping scalable AI systems across GenAI, agentic workflows, traditional ML, and computer vision.

Key Responsibilities:

Generative AI & Agentic Systems

• Design and build GenAI applications (RAG, agentic workflows, multi-agent systems)
• Develop intelligent systems with memory, planning, and reasoning capabilities
• Implement prompt engineering, context optimization, and evaluation frameworks
• Build observable and reliable multi-agent architectures

Traditional ML & Computer Vision

• Develop ML pipelines (forecasting, recommendation, classification, regression)
• Build production-grade computer vision solutions (document AI, image analysis)
• Perform feature engineering, model optimization, and benchmarking

MLOps & Production Engineering

• Own end-to-end ML lifecycle (CI/CD, testing, versioning, deployment)
• Build scalable APIs, microservices, and data pipelines
• Monitor models, detect drift, and implement A/B testing frameworks

Knowledge Solutions

• Architect knowledge graphs and semantic search systems
• Implement hybrid retrieval (vector + keyword search)

Client Collaboration

• Present technical solutions to enterprise clients
• Collaborate with architects, data engineers, and business teams

Required Skills & Experience

• 3–6 years of hands-on ML Engineering experience
• Strong Python and software engineering fundamentals
• Experience shipping production ML systems on cloud (GCP preferred)
• Experience across GenAI, Traditional ML, Computer Vision
• MLOps experience and RAG-based systems

Preferred

• GCP Professional ML Engineer certification
• Knowledge graphs / semantic search experience
• Experience in regulated industries (Healthcare / BFSI)
• Open-source or technical publications

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 4+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

About the Role

We are seeking a proactive and detail-oriented Site Reliability Engineer (SRE) with 3+ years of experience to ensure high availability, reliability, and performance of production systems.

This role focuses on automation, observability, incident management, and cross-team coordination to drive operational excellence.

Key Responsibilities

· Maintain reliable, scalable, and secure production environments.

· Implement and manage monitoring, alerting, and logging solutions.

· Contribute to defining and tracking SLIs/SLOs and support error budget practices.

· Automate operational tasks to improve efficiency and reduce manual effort.

· Perform troubleshooting and Root Cause Analysis (RCA) for production incidents.

· Optimize system performance, availability, and capacity.

· Maintain runbooks, SOPs, and incident documentation in Confluence.

· Adhere to change management, deployment governance, and disaster recovery standards.

· Support incident response for critical production services.

Collaboration & Tools

· Coordinate with external vendors and internal cross-functional teams.

· Work closely with Engineering, Product Owners, and Operations teams.

· Manage incidents and changes using ServiceNow & JIRA.

· Collaborate through Slack and structured communication channels.

Technical Skills

Systems & Cloud

· Strong knowledge of Windows and Linux/Unix systems.

· Solid understanding of networking fundamentals (DNS, TCP/IP, Load Balancing, Firewalls).

· Experience with at least one cloud platform (AWS, Azure, or GCP).

Automation & CI/CD

· Proficiency in one scripting/programming language (Python, Go, Bash, PowerShell, or Java).

· Understanding of CI/CD pipelines and automation practices.

Containers & Observability

· Hands-on experience with Docker and Kubernetes.

· Experience with monitoring tools such as Grafana or Power BI.

· Ability to analyze logs, metrics, and traces for troubleshooting.

ITSM & Documentation

· Experience with ServiceNow & JIRA (incident/change/problem workflows).

· Working knowledge of Confluence for technical documentation and knowledge management.

Additional Experience (Preferred)

· Background in DevOps, Cloud Engineering, or Platform Engineering.

· Understanding of security best practices and compliance standards.

· Familiarity with AI-assisted engineering tools (Claude Code, Jellyfish, GitHub Copilot).

· Exposure to large-scale or production-grade systems.

Soft Skills

· Strong analytical and troubleshooting mindset.

· Excellent written and verbal communication skills.

· Effective stakeholder and vendor coordination.

· Ownership-driven and composed during high-severity incidents.

Applying to jobs at Ampera is completely free. We never ask candidates for any payment.

we are currently hiring for Junior DevOps Developer 

Can you pls check below Job Description for the post 

Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)

Job Title: Junior DevOps Developer

Experience: 6 months to 1.5 years

Employment Type: Full-time

About the Role:

We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.

Key Responsibilities:

• Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
• Support CI/CD pipeline setup and maintenance
• Help automate deployment processes and routine tasks
• Monitor system performance and troubleshoot issues
• Assist in containerization using Docker and Kubernetes
• Perform root cause analysis for production issues
• Collaborate with developers to improve system performance and scalability
• Maintain documentation for infrastructure and processes
• cloud platform and infrastructure include hetzener

Required Skills:

• Basic understanding of DevOps concepts and workflows
• Knowledge of cloud platforms like AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Basic understanding of Infrastructure as Code tools (Terraform is a plus)
• Knowledge of Git and version control systems
• Basic scripting knowledge (Bash/Python preferred)

Good to Have:

• Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Understanding of monitoring tools (Grafana, Prometheus) 
• Understanding of monitoring tools (Grafana, Prometheus) 

You can contact me on this WhatsApp number: Nine three one six one two zero one three two

Platform Engineer – Cloud & On-Prem Infrastructure

Location - Pune or Bangalore (WFO- 5 days)

Must-Have Skills:

• 8+ years deploying, upgrading, and maintaining infrastructure across on-premises and public cloud, with Kubernetes and Docker
• Proficiency in Infrastructure as Code using Terraform or Pulumi
• Hands-on coding in Golang or Python, plus Bash scripting 

Good-to-Have Skills:

• Familiarity with Kubernetes management solutions (OpenShift, Rancher, GKE, EKS, AKS, VMware TKG) 
• Experience with VM management platforms (e.g., Red Hat OpenShift Virtualization, VMware) 
• Kubernetes certifications (CKA, CKAD) 
• Exposure to service mesh technologies (Istio, Linkerd)

Who You Are

• A platform engineer who builds and maintains the infrastructure backbone for both on-prem and cloud environments
• Passionate about automating daily operations and eliminating manual toil
• Comfortable authoring and evolving IaC (Infrastructure as a Code) templates to enforce consistency.

What You’ll Do & Learn

• Roll out & maintain on-premises and cloud infrastructure for development and testing environments 
• Implement & support CI/CD pipelines to drive our software delivery processes
• Develop automation tools that streamline routine operations and improve reliability 
• Build & enhance Infrastructure-as-Code templates (Terraform, Pulumi) for rapid, repeatable provisioning 
• Document system designs, configurations, and processes to enable an asynchronous, distributed team culture

Key responsibilities

• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.

• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.

• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).

• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.

• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).

• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.

• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).

• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.

• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.

• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates. 

Required skills & experience

• 5+ years hands-on experience working with Azure and cloud-native application delivery.

• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).

• Strong IaC skills with Terraform, ARM templates, or Bicep.

• Solid experience with CI/CD design and YAML pipeline authoring.

• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.

• Scripting skills: PowerShell, Bash, and/or Python for automation.

• Experience with Git workflows (branching strategies, PRs, code reviews).

• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).

• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.

• Strong troubleshooting, debugging, and incident response skills.

• Good collaboration and communication skills; ability to work across teams.

Certification

AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.

We're hiring a Tech Lead to own the backend architecture and engineering culture of a fast-growing HR-Tech platform used by 100+ enterprise clients across India.

This isn't a "manage the team and attend standups" role. You'll be hands-on with architecture decisions, own the deployment environment, and work directly with founders who came from Gallup and IIM Ahmedabad.

The stack is Node.js, Docker, Kafka, and cloud (AWS / Azure / GCP).

The role is right for you if:

- You've led backend teams and still enjoy being close to the code

- You've built or significantly improved a CI/CD pipeline in production

- You can explain a technical trade-off to a business stakeholder without making them feel talked down to

- You want ownership, not just a title.

What you'll be doing:

- Designing and maintaining backend systems built for scale, security, and reliability

- Leading and mentoring a team of backend engineers through sprint cycles and beyond

- Owning cloud infrastructure (AWS / Azure / GCP) and keeping deployments stable and fast

- Improving CI/CD practices and automating what shouldn't require human intervention

- Translating product requirements into technical specs the team can actually execute

- Conducting code reviews that raise quality without slowing people down

- Working directly with founders and business stakeholders — not through layers of management

What we're looking for:

- 5–8 years of software engineering experience, with at least 2 years in a lead or senior role

- Strong backend development skills in Node.js (Python or Java is a bonus)

- Hands-on cloud experience — building and managing infrastructure, not just deploying to it

- Comfort with Docker, Kafka, and Linux environments

- Experience running Agile teams — sprint planning, retrospectives, the works

- Clear communication and the ability to make decisions under ambiguity

- B.Tech / B.E. in Computer Science or Information Technology

Location: Mumbai (on-site) Experience: 5–8 years Start: Immediate

If this sounds like the role you've been looking for, apply below or send a message directly. The process is fast and so is the decision.

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Role: .Net Developer

Experience Level: 4 to 9 Years

Work location: Mumbai, Bangalore, Trivandrum (Hybrid)

Key Responsibilities:

● Develop and maintain scalable .NET microservices for diverse client projects

● Implement robust Web APIs with proper error handling, validation, and security

● Write comprehensive unit and integration tests ensuring high code quality

● Design portable, efficient solutions deployable across different client environments

● Collaborate with cross-functional teams and client stakeholders

● Optimize application performance and implement caching strategies

● Implement security best practices for enterprise applications

● Participate in code reviews and maintain coding standards

● Support deployment and troubleshooting in client environments

Must have skills:

Core Technical Expertise:

● .NET Framework/Core: 4+ years of production experience with .NET Core 3.1+ / .NET 5+ and C# 8+

● Frameworks: Strong hands-on experience with ASP.NET Core Web API, Entity Framework Core

● REST API Development: Proven experience designing and implementing RESTful web services, middleware

implementation

● Design Patterns: Solid understanding and implementation of SOLID principles, Dependency Injection, Repository

pattern

● Testing: Experience with unit testing (xUnit, NUnit, MSTest), mocking frameworks (Moq), integration testing

Microservices & Deployment:

● Containerization: Hands-on Docker experience for packaging and deploying .NET applications

● Microservices Architecture: Understanding of service decomposition, inter-service communication, distributed

systems

● Abstraction & Portability: Configuration management (appsettings.json, IConfiguration), environment-agnostic design

● Package Management: NuGet package management, understanding of project dependencies

Good to have have skills:

Advanced Technical:

● Advanced Frameworks: .NET 6/7/8, Minimal APIs, gRPC, SignalR for real-time communication

● ORM & Database: Advanced Entity Framework Core, Dapper, database migrations

● Orchestration: Kubernetes, Docker

● Cloud Platforms: Azure (App Service, Functions, Service Bus), Alibaba, or GCP services

● Message Brokers: Azure Service Bus, RabbitMQ, Apache Kafka

● Databases: Both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra)

● API Gateway: Azure API Management, Kong API Gateway

Development & Operations:

● CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions)

● Monitoring & Observability (Application Insights, Serilog, Prometheus)

● Security best practices (HTTPS, CORS, input validation, secure coding)

● Background Services (Hosted Services, Hangfire, Quartz.NET)

Dear Candidates,

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

Work Location (WFO):

Nagar, Bengaluru, Karnataka

Interview Process:

L1 Interview – Face-to-Face at Office

Experience Required:

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

Role Overview:

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

Key Responsibilities:

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

Required Skills:

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

Qualifications:

• BE / BTech in Computer Science

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

👉 Job Title: Senior Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are seeking a Senior Backend Developer with strong expertise in Python and FastAPI to build scalable, high-performance backend systems integrated with LLM technologies on Azure. The role involves designing distributed systems, optimizing data pipelines, and ensuring secure, enterprise-grade applications.

Key Responsibilities

• Develop backend services using Python & FastAPI (async, middleware)
• Build high-concurrency, scalable systems and microservices
• Work with Azure services and event-driven architectures
• Optimize MongoDB & Redis for performance
• Integrate LLM APIs (OpenAI, Gemini, Claude)
• Implement security (JWT, encryption, API management)
• 
  

Mandatory Skills (Top 3)

1. Strong Python backend development with FastAPI
2. Hands-on experience with Microsoft Azure cloud
3. Experience in building scalable distributed/microservices systems

Good to Have

• Docker, Kubernetes, CI/CD
• LLM frameworks (LangChain, vector DBs)
• Monitoring tools and real-time data processing

👉 Job Title: Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are looking for a Backend Engineer to join the Platform Implementation Team, responsible for building scalable, secure, and high-performance backend systems for a multi-cloud Data & AI platform. You will design microservices, develop REST APIs, and enable seamless data integration across enterprise systems like CRM and ERP.

💫 Key Responsibilities

✅ Design and develop scalable microservices and RESTful APIs

✅ Build event-driven architectures for asynchronous processing

✅ Integrate backend systems with cloud platforms (GCP/Azure)

✅ Ensure secure, reliable, and optimized data handling

✅ Collaborate with cross-functional teams (UI, Data, Platform)

✅ Follow best practices in coding, testing, CI/CD, and containerization

💫 Mandatory Skills (Top 3)

✅ Strong backend programming experience (Python / Node.js / Java)

✅ Expertise in API development & Microservices architecture

✅ Hands-on experience with Cloud platforms (GCP or Azure)

 Company Overview:

     Planview has one mission: to build the future of connected work with market-leading portfolio management and work management solutions. Planview is a recognized innovator and industry leader, our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Our solutions span every class of work, resource, and organization to address the varying needs of diverse and distributed teams, departments, and enterprises.

As a Sr CloudOps Engineer II, you will oversee teams of Engineers and be a champion for configuration management, technologies in the cloud, and continuous improvement. You will work closely with global leaders to ensure that our applications, infrastructure, and processes are scalable, secure, and supportable. By leveraging your production experience and development skills you will work hand in hand with Engineers (Dev, DevOps, DBOps) to design and implement solutions that improve delivery of value to customers, reduce costs, and eliminate toil.

     Responsibilities (What you will do):

•  Guide the professional development of Engineers and support the teams to accomplish business goals
• Work closely with leaders in the Israel to align on priorities and architect, deliver, and manage our products
• Build systems that are secure, scalable, and self-healing.
• Manage and improve deployment pipelines.
• Triage and remediate production issues.
• Participate in on-call rotations for escalations.

Qualifications (What you will bring):

•   Bachelor's degree is CS or equivalent experience in related field.
• 2+ years managing Engineering teams.
• 8+ years of experience as a site reliability or platform engineer, preferably in a fast-scaling environment
• 5+ years administering Linux and Windows environments.
• 3+ years programming / scripting experience (e.g., Python, JavaScript, PowerShell)
• Strong technical knowledge in OS’s (Linux and Windows), virtualizations, storage systems, networking, and firewall implementations
• Maintaining production environments in the On Premise (90%) and Cloud (10%) (e.g., AWS, Google Cloud, Azure)
• Solid understanding of networking principles and how it applies to data flow and security.
• Automating deployments of cloud based available services (e.g., AWS EC2 / RDS, Docker, Kubernetes)
• Experience managing CI/CD infrastructures, with a strong proficiency in platforms like bitbucket and Jenkins to streamline deployment pipelines and ensure efficient software delivery.
• Management of resources using Infrastructure as Code tools (e.g., CloudFormation, Terraform, Chef)
• Knowledge of observability tools such as LogicMonitor, New Relic, Prometheus, and Coralogix, as well as their implementation.
• Worked within Agile and Lean software development teams.
• Experience working in globally distributed teams.
• Ability to look on the big picture and manage risks.

About Superclaims

Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.

Role: Python Backend Developer

We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.

What you'll do

- Build and maintain scalable backend systems and APIs

- Develop intelligent data extraction pipelines using AI/ML

- Design and implement agentic workflows with LangGraph

- Design efficient database schemas and optimize queries in PostgreSQL

- Integrate and work with LLMs (OpenAI, Gemini, or similar)

- Collaborate with product, frontend, and data teams to deliver end-to-end features

- Write clean, tested, and well-documented code

Must-have skills

- Strong proficiency in Python and a modern web framework (FastAPI or similar)

- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)

- Solid understanding of RESTful API design and best practices

- Hands-on experience or strong familiarity with LangGraph

- Experience working with LLMs (OpenAI, Gemini, or similar providers)

- Comfort with Git/version control and collaborative development workflows

Nice-to-have skills

- Experience with Docker and containerized deployments

- Knowledge of Redis for caching or background tasks

- Exposure to cloud platforms (GCP, AWS, or Azure)

- Experience with vector databases and retrieval-augmented generation

- Basic prompt engineering skills

- Experience with object storage (S3/MinIO)

What we're looking for

- 1+ years of Python backend development experience (open to exceptional freshers)

- Fast learner with genuine curiosity about AI/ML and automation

- Prior startup experience preferred

- Ownership mindset, bias for action, and comfort with ambiguity

- Ready to relocate to Hyderabad (work location)

How to apply

Please share:

- Your resume

- GitHub/Portfolio link

- A brief note on why you're interested in AI-powered automation and Superclaims

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

● Excellent Engineering skills in designing and implementing scalable solutions

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

● Strong communication skills and ownership

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

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

● Proficiency in PL/SQL and Database development.

Strong in J2EE & OOPS Design Patterns.

Job Summary The Azure L3 Cloud Support Engineer is a subject-matter expert responsible for resolving the most complex cloud infrastructure and platform issues. This role serves as the final escalation point for Azurerelated incidents, drives root cause analysis, improves platform reliability, and provides architectural guidance. The engineer works closely with cloud architects, security, and Microsoft Support to ensure stability, scalability, and security of enterprise Azure environments. Key Responsibilities • Act as Level 3 / final escalation point for Azure incidents and service outages • Diagnose and resolve high-severity, complex, and recurring Azure issues • Perform deep-dive troubleshooting across: o Azure Compute (VMs, VMSS, AKS) o Networking (VNet peering, Azure Firewall, Load Balancer, Application Gateway, ExpressRoute) o Storage (Blob, File, Disk, performance & latency issues) o PaaS services (App Services, Functions, Azure SQL, Cosmos DB) • Lead root cause analysis (RCA) and implement long-term corrective actions • Design and review high availability, disaster recovery, and resiliency architectures • Optimize cloud environments for performance, cost, and security • Define and enforce Azure best practices, standards, and governance • Support and mentor L1/L2 engineers; create advanced knowledge articles • Collaborate with Microsoft Premier / Unified Support on critical cases • Review and approve production changes and complex deployments • Contribute to automation using PowerShell, Azure CLI, ARM/Bicep, Terraform • Participate in major incident management and post-incident reviews • Provide architectural input for new cloud initiatives and migrations Required Skills & Qualifications • 6–10+ years of IT infrastructure experience with strong Azure specialization • Expert-level knowledge of Azure IaaS, PaaS, and networking • Deep understanding of: o Cloud security (RBAC, Entra ID, Key Vault, Defender for Cloud) o Hybrid connectivity and identity o Monitoring and observability (Azure Monitor, Log Analytics, App Insights) • Strong scripting and automation skills (PowerShell preferred) • Experience handling enterprise-scale production environments • Strong troubleshooting, analytical, and decision-making skills • Ability to lead during outages and communicate with stakeholders

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Job Description - Manager Sales

Min 15 years experience,

Should be experience from Sales of Cloud IT Saas Products portfolio which Savex deals with,

Team Management experience, leading cloud business including teams

Sales manager - Cloud Solutions

Reporting to Sr Management

Good personality

Distribution backgroung

Keen on Channel partners

Good database of OEMs and channel partners.

Age group - 35 to 45yrs

Male Candidate

Good communication

B2B Channel Sales

Location - Bangalore

If interested reply with cv and below details

Total exp -

Current ctc - 

Exp ctc - 

Np -

Current location - 

Qualification - 

Total exp Channel Sales -

What are the Cloud IT products, you have done sales for? 

What is the Annual revenue generated through Sales ?

Description

As a Power Apps Developer, you will be at the forefront of crafting innovative, low‑code solutions that streamline business processes and empower end‑users across the organization. You will collaborate closely with functional analysts, business stakeholders, and fellow developers to translate complex requirements into intuitive, scalable applications on the Microsoft Power Platform. The role offers a dynamic environment where continuous learning is encouraged, providing access to the latest Power Apps features, Azure services, and integration techniques. You will contribute to a culture of knowledge sharing, participate in code reviews, and mentor junior team members, ensuring high‑quality deliverables that drive operational efficiency and measurable business impact.

Requirements:

• 5–15 years of experience developing enterprise‑grade solutions using Microsoft Power Apps, Power Automate, and Power BI.
• Strong proficiency in Canvas and Model‑Driven apps, Common Data Service (Dataverse), and integration with Azure services (e.g., Azure Functions, Logic Apps).
• Solid understanding of relational databases, SQL, and data modeling concepts.
• Experience with JavaScript, TypeScript, and RESTful APIs for extending Power Apps functionality.
• Excellent problem‑solving abilities, strong communication skills, and a collaborative mindset.
• Relevant certifications such as Microsoft Power Platform Developer Associate (PL‑400) are a plus.

Roles and Responsibilities:

• Design, develop, and deploy custom Power Apps solutions that meet business requirements and adhere to best practices.
• Create and maintain automated workflows using Power Automate to streamline repetitive tasks and improve efficiency.
• Integrate Power Apps with external systems via connectors, APIs, and Azure services to ensure seamless data flow.
• Perform performance tuning, debugging, and troubleshooting of applications to ensure optimal user experience.
• Collaborate with business analysts and stakeholders to gather requirements, provide technical guidance, and deliver prototypes.
• Conduct code reviews, enforce governance standards, and contribute to the development of a reusable component library.
• Stay updated with the latest Power Platform releases, evaluate new features, and recommend adoption strategies.
• Provide training and mentorship to junior developers and end‑users to foster platform adoption.

Must have skills

Power apps - 5 years

Microsoft Power Automate - 1 years

Nice to have skills

Canvas App Development and Scripting - 4 years

Canvas Apps Development - 4 years

SQL - 2 years

SharePoint APIs - 1 years

Power Fx - 2 years

C Sharp - 3 years

RESTful API - 2 years

🚀 Hiring: AI/M and Gen AI Engineer

⭐ Experience: 5+ Years

⭐ Work Mode:- Remote

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

🌟 About the Role

We are looking for a highly skilled AI/ML Software Engineer to design, build, and productionize enterprise-grade AI solutions. This role focuses on Generative AI, RAG systems, and AI agent–driven automation, with deployment on Microsoft Azure.

You will collaborate with cross-functional teams including architects, engineers, and business stakeholders to deliver scalable and secure AI solutions that create real business impact.

🔑 Mandatory Skills (Must Have)

• ✅ Azure AI Ecosystem (Azure Machine Learning, Azure OpenAI, Cognitive Services)
• ✅ Generative AI & RAG Systems (vector embeddings, retrieval pipelines)
• ✅ Strong Software Engineering + MLOps (CI/CD, containerization, scalable deployments)

💼 Key Responsibilities

• Design, develop, and deploy AI/ML models in production environments
• Build and optimize RAG-based applications and AI agent workflows
• Develop scalable data pipelines and integrate with enterprise systems
• Implement MLOps practices for continuous deployment and monitoring
• Work with big data tools to process large-scale datasets
• Ensure security, scalability, and performance of AI systems
• Collaborate with stakeholders to translate business problems into AI solutions

🧠 Required Experience & Skills

• 5–8 years of hands-on experience in AI/ML development
• Strong programming and software engineering expertise
• Experience with Azure services (ML, Data Lake, OpenAI, Cognitive Services)
• Knowledge of vector databases and embedding models
• Experience with Databricks, Azure Data Factory, or Kafka
• Familiarity with multi-agent systems / agentic AI frameworks
• Proficiency in TensorFlow, PyTorch, Keras, or Scikit-learn
• Background in NLP, Computer Vision, or Deep Learning
• Experience with SQL/NoSQL databases and ETL pipelines
• Strong analytical and problem-solving skills 

🚀 Hiring: Data Engineer ( Azure ) at Deqode

⭐ Experience: 5+ Years

📍 Location: Pune, Bhopal, Jaipur, Gurgaon, Delhi, Banglore,

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

⭐ Hiring: Databricks Data Engineer – Lakeflow | Streaming | DBSQL | Data Intelligence

We are looking for a Databricks Data Engineer ( Azure ) to build reliable, scalable, and governed data pipelines powering analytics, operational reporting, and the Data Intelligence Layer.

🔹 Key Responsibilities

✅ Build optimized batch pipelines using Delta Lake (partitioning, OPTIMIZE, Z-ORDER, VACUUM)

✅ Implement incremental ingestion using Databricks Autoloader with schema evolution & checkpointing

✅ Develop Structured Streaming pipelines with watermarking, late data handling & restart safety

✅ Implement declarative pipelines using Lakeflow

✅ Design idempotent, replayable pipelines with safe backfills

✅ Optimize Spark workloads (AQE, skew handling, shuffle & join tuning)

✅ Build curated datasets for Databricks SQL (DBSQL), dashboards & downstream applications

✅ Package and deploy using Databricks Repos & Asset Bundles (CI/CD)

Ensure governance using Unity Catalog and embedded data quality checks

✅ Mandatory Skills (Must Have)

👉 Databricks & Delta Lake (Advanced Optimization & Performance Tuning)

👉 Structured Streaming & Autoloader Implementation

👉 Databricks SQL (DBSQL) & Data Modeling for Analytics

About NonStop io Technologies:

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

Brief Description:

We are seeking a highly skilled QA Automation Engineer with strong expertise in Java and Selenium to join our growing engineering team. The ideal candidate will play a key role in designing, developing, and maintaining scalable test automation frameworks while ensuring high product quality across releases.

Roles and Responsibilities:

● Design, develop, and maintain robust automation frameworks using Java and Selenium

● Build automated test scripts for web applications and integrate them into CI CD pipelines

● Collaborate closely with developers, product managers, and business analysts to understand requirements and define effective test strategies

● Participate in sprint planning, requirement reviews, and technical discussions

● Perform root cause analysis for defects and work with engineering teams for resolution

● Improve automation coverage and reduce manual regression effort

● Ensure test environments, test data, and execution reports are maintained and documented

● Mentor junior QA engineers and promote best practices in automation

● Develop, execute, and maintain comprehensive test plans and test cases for manual and automated testing

● Perform functional, regression, performance, and security testing to ensure software quality

● Design and develop automated test scripts using tools such as Selenium, Appium, or similar frameworks

● Identify, document, and track software defects, working closely with development teams for resolution

● Ensure test coverage by working closely with developers, product managers, and other stakeholders

● Establish and maintain continuous integration (CI) and continuous deployment (CD) pipelines for test automation

● Conduct API testing using tools like Postman or RestAssured

● Collaborate with cross-functional teams to enhance the overall quality of the product

● Stay up to date with the latest industry trends and best practices in QA methodologies and automation frameworks

Requirements:

● 5 to 7 years of experience in QA automation

● Strong hands-on experience with Java and Selenium WebDriver

● Experience in building or enhancing automation frameworks from scratch

● Good understanding of TestNG or JUnit

● Experience with Maven or Gradle

● Familiarity with CI CD tools such as Jenkins, GitHub Actions, or similar

● Strong understanding of Agile Scrum methodology

● Experience with API testing tools such as Rest Assured or Postman is a plus

● Knowledge of version control systems like Git

● Strong analytical and problem-solving skills

● Strong understanding of software testing life cycle (STLC) and defect lifecycle management

● Experience with version control systems (e.g., Git)

● Relevant certifications in software testing (e.g., ISTQB) are desirable but not required

● Solid understanding of software testing principles, methodologies, and techniques

● Excellent analytical and problem-solving skills

● Strong attention to detail and a commitment to delivering high-quality software

● Good communication and collaboration skills, with the ability to work effectively in a team environment

Good to Have:

● Experience with performance testing tools

● Exposure to cloud platforms such as AWS or Azure

● Knowledge of containerization tools like Docker

● Experience in BDD frameworks such as Cucumber.

Why Join Us?

● A collaborative and learning-driven environment

● Exposure to AI and software engineering innovations

● Excellent work ethic and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Role: ML Engineer

Location: Remote

Experience: 5+ Years

𝗞𝗲𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 Required:

• Azure ML Studio, AKS, Blob Storage, ADF, ADO Pipelines

• Model deployment & versioning via Azure ML

• MLflow for experiment tracking & model lifecycle management

• MLOps best practices — orchestration, CI/CD, model monitoring

• Strong Python skills (Linting, Black, dependency management)

• Drift detection & performance monitoring

• Docker-based deployment (good to have)

Job Details

- Job Title: Full Stack Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-7 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, NodeJS, mongodb, RESTful APIs, React.js

Criteria

Candidate should have at least 4+ years of professional experience as a Full Stack Engineer

Hands-on experience with both React.js and Node.js

Solid understanding of MongoDB

Should have experience in RESTful APIs

Should be from a startup or scale up companies

Should have good experience in Typescript

Strong understanding of asynchronous programming patterns

Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

We’re looking for a Full Stack Engineer to build, scale, and maintain high-performance web applications for company’s technology platforms. This role involves working across the stack-frontend, backend, and infrastructure - using modern JavaScript-based technologies.

You’ll collaborate closely with product managers, designers, and cross-functional engineering teams to deliver scalable, secure, and user-centric solutions. This role is ideal for someone who enjoys end-to-end ownership, technical problem-solving, and working in a fast-paced startup environment.

What You’ll Own

1. Full Stack Development

● Design, develop, test, and deploy robust and scalable web applications.

● Build and maintain server-side logic and microservices using Node.js, Express.js, and TypeScript.

● Contribute to frontend feature development and integration.

● Participate in feature planning, estimation, and execution.

2. Backend & API Engineering

● Design and develop RESTful APIs and backend services.

● Implement asynchronous workflows and scalable microservice architectures.

● Ensure performance, reliability, and security of backend systems.

● Implement authentication, authorization, and data protection best practices.

3. Database Design & Optimization

● Design and manage MongoDB schemas using Mongoose.

● Optimize queries and database performance for scale.

● Ensure data integrity and efficient data access patterns.

4. Frontend Collaboration & Integration

● Collaborate with frontend developers to integrate React components and APIs seamlessly.

● Ensure responsive, high-performing application behavior.

5. System Design & Scalability

● Contribute to system architecture and technical design discussions.

● Design scalable, maintainable, and future-ready solutions.

● Optimize applications for speed and scalability.

6. Product & Cross-Functional Collaboration

● Work closely with product and design teams to deliver high-quality features in rapid iterations.

● Participate in the full development lifecycle—from concept to deployment and maintenance.

7. Code Quality & Best Practices

● Write clean, testable, and maintainable code.

● Follow Git-based version control and code review best practices.

● Contribute to improving engineering standards and workflows.

What We’re Looking For

Must-Haves

● 4+ years of professional experience as a Full Stack Engineer or similar role.

● Strong proficiency in JavaScript and TypeScript.

● Hands-on experience with Node.js and Express.js.

● Solid understanding of MongoDB and Mongoose.

● Experience building and consuming RESTful APIs and microservices.

● Strong understanding of asynchronous programming patterns.

● Good grasp of system design principles and application architecture.

● Experience with Git and version control best practices.

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

Good-to-Have / Preferred

● Frontend development experience with React.js.

● Exposure to Three.js or similar 3D/visualization libraries.

● Experience with cloud platforms (AWS, GCP, Azure – EC2, S3, Lambda).

● Knowledge of Docker and containerization workflows.

● Experience with testing frameworks (Jest, Mocha, etc.).

● Familiarity with CI/CD pipelines and automated deployments.

Tools You’ll Use

● Backend: Node.js, Express.js, TypeScript

● Frontend: React.js (preferred)

● Database: MongoDB, Mongoose

● Version Control: Git, GitHub / GitLab

● Cloud & DevOps: AWS / GCP / Azure, Docker

● Collaboration: Google Workspace, Notion, Slack

Key Metrics You’ll Own

● Code quality, performance, and scalability

● Timely delivery of features and releases

● System reliability and reduction in production issues

● Contribution to architectural improvements

Why company

● Work on impactful, product-driven tech platforms.

● High-ownership role with end-to-end engineering exposure.

● Opportunity to work with modern technologies and evolving architectures.

● Collaborative startup culture with strong learning and growth opportunities.

Description

Power BI JD

Mandatory:

• 5+ years of Power BI Report development experience.

• Building Analysis Services reporting models.

• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.

• Connecting data sources, importing data, and transforming data for Business intelligence.

• Analytical thinking for translating data into informative reports and visuals.

• Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.

• Should have an edge over making DAX queries in Power BI desktop.

• Expert in using advanced-level calculations on the data set.

• Responsible for design methodology and project documentaries.

• Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.

• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

• Experience working with Microsoft Business Intelligence Stack having Power BI, SSAS, SSRS, and SSIS

• Mandate to have experience with BI tools and systems such as Power BI, Tableau, and SAP.

• Must have 3-4years of experience in data-specific roles.

• Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more

• Knowledge of all the Power BI products (Power Bi premium, Power BI server, Power BI services, Powerquery etc)

• Grip over data analytics

• Interact with customers to understand their business problems and provide best-in-class analytics solutions

• Proficient in SQL and Query performance tuning skills

• Understand data governance, quality and security and integrate analytics with these corporate platforms

• Attention to detail and ability to deliver accurate client outputs

• Experience of working with large and multiple datasets / data warehouses

• Ability to derive insights from data and analysis and create presentations for client teams

• Experience with performance optimization of the dashboards

• Interact with UX/UI designers to create best in class visualization for business harnessing all product capabilities.

• Resilience under pressure and against deadlines.

• Proactive attitude and an open outlook.

• Strong analytical problem-solving skills

• Skill in identifying data issues and anomalies during the analysis

• Strong business acumen demonstrated an aptitude for analytics that incite action

• Ability to execute on design requirements defined by business

• Ability to understand required Power BI functionality from wireframes/ requirement documents

• Ability to architect and design reporting solutions based on client needs.

• Being able to communicate with internal/external customers, desire to develop communication and client-facing skills.

• Ability to seamlessly work with MS Excel working knowledge of pivot table and related functions

Good to have:

• Experience in working with Azure and connecting synapse with Tableau

• Demonstrate strength in data modelling, ETL development, and data warehousing

• Knowledge of leading large-scale data warehousing and analytics projects using Azure, Synapse, MS SQL DB

• Good knowledge of building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• Good to have knowledge of Supply Chain Domain.

Job Overview

As a software Engineer, you will play a crucial role in leading our development efforts, ensuring best practices, and supporting the team on a day-to-day basis. This role requires deep technical knowledge, a proactive mindset, and a commitment to guiding the team in tackling challenging issues. You will work primarily with .NET Core on the backend while also keeping a strategic focus on product security, DevOps, quality assurance, and cloud infrastructure.

Responsibilities

• Forward-Looking Product Development:

o Collaborate with product and engineering teams to align on the technical

direction, scalability, and maintainability of the product.

o Proactively consider and address security, performance, and scalability

requirements during development.

• Cloud and Infrastructure: Leverage Microsoft Azure for cloud infrastructure,
• ensuring efficient and secure use of cloud services. Work closely with DevOps to
• improve deployment processes.
• DevOps & CI/CD: Support the setup and maintenance of CI/CD pipelines, enabling
• smooth and frequent deployments. Collaborate with the DevOps team to automate and
• optimize the development process.
• Technical Mentorship: Provide technical guidance and support to team members,
• helping them solve day-to-day challenges, enhance code quality, and adopt best
• practices.
• Quality Assurance: Collaborate with QA to ensure thorough testing, automated testing
• coverage, and overall product quality.
• Product Security: Actively implement and promote security best practices to protect
• data and ensure compliance with industry standards.
• Documentation & Code Reviews: Promote good coding practices, conduct code
• reviews, and maintain clear documentation.
• Qualifications

• Technical Skills:

o Strong experience with .NET Core for backend development and RESTful API

design.

o Hands-on experience with Microsoft Azure services, including but not limited

to VMs, databases, application gateways, and user management.

o Familiarity with DevOps practices and tools, particularly CI/CD pipeline

configuration and deployment automation.

o Strong knowledge of product security best practices and experience implementing secure coding practices.

o Familiarity with QA processes and automated testing tools is a plus.

o Ability to support team members in solving technical challenges and sharing

knowledge effectively.

Preferred Qualifications

• 4+ years of experience in software development, with a strong focus on .NET Core
• Previous experience as a Staff SE, tech lead, or in a similar hands-on tech role.
• Strong problem-solving skills and ability to work in a fast-paced, startup environment.
• What We Offer
• Opportunity to lead and grow within a dynamic and ambitious team.
• Challenging projects that focus on innovation and cutting-edge technology.
• Collaborative work environment with a focus on learning, mentorship, and growth.
• Competitive compensation, benefits, and stock options.
• If you’re a proactive, forward-thinking technology leader with a passion for .NET Core and you’re ready to make an impact, we’d love to meet you!

Description

Join company as a Backend Developer and become a pivotal force in building the robust, scalable services that power our innovative platforms. In this role, you will design, develop, and maintain server‑side applications, ensuring high performance and reliability for millions of users. You’ll collaborate closely with cross‑functional product, front‑end, and DevOps teams to translate business requirements into clean, efficient code, while participating in code reviews and architectural discussions. Our dynamic environment encourages continuous learning, offering opportunities to work with cutting‑edge technologies, cloud infrastructures, and modern development practices. As a key contributor, your work will directly impact product quality, user satisfaction, and the overall success of company's mission to streamline hiring solutions.

Requirements:

• 1–15 years of professional experience in backend development, with a strong focus on building APIs and microservices.
• Proficiency in server‑side languages such as Python, Java, Node.js, or Go, and solid understanding of object‑oriented and functional programming paradigms.
• Extensive experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis), including schema design and query optimization.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Hands‑on experience with version control (Git), CI/CD pipelines, and automated testing frameworks.
• Strong problem‑solving abilities, effective communication skills, and a collaborative mindset for working within multidisciplinary teams.

Roles and Responsibilities:

• Design, develop, and maintain high‑throughput backend services and RESTful APIs that support core product features.
• Implement data models and storage solutions, ensuring data integrity, security, and optimal performance.
• Collaborate with front‑end engineers, product managers, and designers to define technical requirements and deliver end‑to‑end solutions.
• Participate in code reviews, provide constructive feedback, and uphold coding standards and best practices.
• Monitor, troubleshoot, and optimize production systems, implementing robust logging, alerting, and performance tuning.
• Contribute to the continuous improvement of development workflows, including CI/CD automation, testing strategies, and deployment processes.
• Stay current with emerging technologies and industry trends, proposing innovative approaches to enhance system architecture.

Budget:

• Job Type: payroll
• Experience Range: 1–15 years

About Tarento:

Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions.

We're proud to be recognized as a Great Place to Work, a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you’ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose.

Job Summary:

We are seeking a highly skilled and self-driven Senior Java Backend Developer with strong experience in designing and deploying scalable microservices using Spring Boot and Azure Cloud. The ideal candidate will have hands-on expertise in modern Java development, containerization, messaging systems like Kafka, and knowledge of CI/CD and DevOps practices.

Key Responsibilities:

• Design, develop, and deploy microservices using Spring Boot on Azure cloud platforms.
• Implement and maintain RESTful APIs, ensuring high performance and scalability.
• Work with Java 11+ features including Streams, Functional Programming, and Collections framework.
• Develop and manage Docker containers, enabling efficient development and deployment pipelines.
• Integrate messaging services like Apache Kafka into microservice architectures.
• Design and maintain data models using PostgreSQL or other SQL databases.
• Implement unit testing using JUnit and mocking frameworks to ensure code quality.
• Develop and execute API automation tests using Cucumber or similar tools.
• Collaborate with QA, DevOps, and other teams for seamless CI/CD integration and deployment pipelines.
• Work with Kubernetes for orchestrating containerized services.
• Utilize Couchbase or similar NoSQL technologies when necessary.
• Participate in code reviews, design discussions, and contribute to best practices and standards.

Required Skills & Qualifications:

• Strong experience in Java (11 or above) and Spring Boot framework.
• Solid understanding of microservices architecture and deployment on Azure.
• Hands-on experience with Docker, and exposure to Kubernetes.
• Proficiency in Kafka, with real-world project experience.
• Working knowledge of PostgreSQL (or any SQL DB) and data modeling principles.
• Experience in writing unit tests using JUnit and mocking tools.
• Experience with Cucumber or similar frameworks for API automation testing.
• Exposure to CI/CD tools, DevOps processes, and Git-based workflows.

Nice to Have:

• Azure certifications (e.g., Azure Developer Associate)
• Familiarity with Couchbase or other NoSQL databases.
• Familiarity with other cloud providers (AWS, GCP)
• Knowledge of observability tools (Prometheus, Grafana, ELK)

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent verbal and written communication.
• Ability to work in an agile environment and contribute to continuous improvement.

Why Join Us:

• Work on cutting-edge microservice architectures
• Strong learning and development culture
• Opportunity to innovate and influence technical decisions
• Collaborative and inclusive work environment

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc. With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe. We are seeking a self-motivated individual with a positive "can-do" attitude and excellent oral and written communication skills in English to join our team.

Job Description: We are looking for a Senior Data Engineer with strong expertise in Azure Databricks, PySpark, and distributed computing to develop and optimize scalable ETL pipelines for manufacturing analytics. The role involves working with high-frequency industrial data to enable real-time and batch data processing.

Key Responsibilities · Build scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.

· Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.

· Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.

· Deploy and optimize data solutions on Azure (preferred), AWS, or GCP with a focus on performance, security, and scalability.

· Develop and optimize ETL/ELT pipelines for structured and unstructured data from IoT, MES, SCADA, LIMS, and ERP systems. · Automate data workflows using CI/CD and DevOps best practices, ensuring security and compliance with industry standards

· Monitor, troubleshoot, and enhance data pipelines for high availability and reliability.

· Utilize Docker and Kubernetes for scalable data processing.

· Collaborate with automation team, data scientists and engineers to provide clean, structured data for AI/ML models.

Desired Skills and Qualifications · Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

· 7+ years of experience in core data engineering, with a strong focus on cloud platforms such as Azure (preferred), AWS, or GCP · Proficiency in PySpark, Azure Databricks, Python and Apache Spark, etc.

. 2 years of team handling experience.

· Expertise in relational databases (e.g., SQL Server, PostgreSQL), time series databases (e.g. Influx DB), and NoSQL databases (e.g., MongoDB, Cassandra) · Experience in containerization (Docker, Kubernetes).

· Strong analytical and problem-solving skills with attention to detail.

· Good to have MLOps, DevOps including model lifecycle management

· Excellent communication and collaboration skills, with a proven ability to work effectively as a team player.

· Comfortable working in a dynamic, fast-paced startup environment, adapting quickly to changing priorities and responsibilities.

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Job Title : Senior DevOps Engineer (Only Mumbai Candidates)

Experience : 5+ Years

Location : Mumbai (On-site)

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 1 Client Round

Mandatory Skills :

Multi-Cloud (AWS/GCP/Azure – any two), Kubernetes, Terraform, Helm (writing Helm Charts), CI/CD (GitLab CI/Jenkins/GitHub Actions), GitOps (ArgoCD/FluxCD), Multi-tenant deployments, Stateful microservices on Kubernetes, Enterprise Linux.

Role Overview :

We are looking for a Senior DevOps Engineer to design, build, and manage scalable cloud infrastructure and DevOps pipelines for product-based platforms.

The ideal candidate should have strong experience with Kubernetes, Terraform, Helm Charts, CI/CD, and GitOps practices.

Key Responsibilities :

• Design and manage scalable cloud infrastructure across AWS/GCP/Azure.
• Deploy and manage microservices on Kubernetes clusters.
• Build and maintain Infrastructure as Code using Terraform and Helm.
• Implement CI/CD pipelines using GitLab CI, Jenkins, or GitHub Actions.
• Implement GitOps workflows using ArgoCD or FluxCD.
• Ensure secure, scalable, and reliable DevOps architecture.
• Implement monitoring and logging using Prometheus, Grafana, or ELK.

Good to Have :

• Packer, OpenShift/Rancher/K3s, On-prem deployments, PaaS experience, scripting (Bash/Python), Terraform modules.

Hiring: IT Operations & Helpdesk Engineer (3–5 Years)

📍 Location: [Bangalore / Hybrid] 

We are looking for a hands-on IT Operations Engineer who will anchor our internal IT helpdesk while managing servers, backups, DR drills, and cloud infrastructure. This role is responsible for day-to-day IT stability across endpoints, servers, and Azure environments.

Key Activities

Internal IT Helpdesk (Primary Anchor)

·       Act as the single point of contact for internal IT support.

·       Resolve L1/L2 issues (laptops, OS, network, access, software installs).

·       Manage onboarding/offboarding IT setup.

·       Track tickets, SLAs, and recurring issues.

Infrastructure & Servers

·       Install and maintain Windows & Linux servers.

·       Maintain the centralized IT asset inventory.

·       Support manual and automated application deployments

·       Handle patching, upgrades, performance monitoring.

Cloud Administration (Azure)

·       Manage VMs, storage, networking.

·       Maintain access controls and security configurations.

Backup & DR Readiness

·       Manage and test backup processes.

·       Conduct periodic DR drills to support organizational continuity standards.

·       Maintain recovery runbooks and documentation.

What We’re Looking For

·       Strong Windows Server & Linux hands-on experience.

·       Experience managing Azure Cloud infrastructure.

·       Practical backup & restore execution experience.

·       Strong troubleshooting mindset.

·       Process-driven and documentation disciplined.

·       Comfortable working with DevOps & Cyber Security teams.

Impact of This Role

·       Stable internal IT operations.

·       DR-tested infrastructure.

·       Reduced downtime and faster issue resolution.

·       Strong operational hygiene in a growing environment.

Position Title : Senior Data Engineer(Founding Member) - Insurtech StartUp

Location : Hyderabad(Onsite)

Immediate to 15 days Joiners

Experience : 5+ to 13 Years

Role Summary

We are looking for a Senior Data Engineer who will play a foundational role in:

• Client onboarding from a data perspective
• Understanding complex insurance data flows
• Designing secure, scalable ingestion pipelines
• Establishing strong data modeling and governance standards

This role sits at the intersection of technology, data architecture, security, and business onboarding.

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Key Responsibilities

• Lead end-to-end data onboarding for new clients and partners, working closely with business and product teams to understand client systems, data formats, and migration constraints
• Define and implement data ingestion strategies supporting multiple sources and formats, including CSV, XML, JSON files, and API-based integrations
• Design, build, and operate robust, scalable ETL/ELT pipelines, supporting both batch and near-real-time data processing
• Handle complex insurance-domain data including Contracts, Claims, Reserves, Cancellations, and Refunds
• Architect ingestion pipelines with security-by-design principles, including secure credential management (keys, secrets, tokens), encryption at rest and in transit, and network-level controls where required
• Enforce role-based and attribute-based access controls, ensuring strict data isolation, tenancy boundaries, and stakeholder-specific access rules
• Design, maintain, and evolve canonical data models that support operational workflows, reporting & analytics, and regulatory/audit requirements
• Define and enforce data governance standards, ensuring compliance with insurance and financial data regulations and consistent definitions of business metrics across stakeholders
• Build and operate data pipelines on a cloud-native platform, leveraging distributed processing frameworks (Spark / PySpark), data lakes, lakehouses, and warehouses
• Implement and manage orchestration, monitoring, alerting, and cost-optimization mechanisms across the data platform
• Contribute to long-term data strategy, platform architecture decisions, and cost-optimization initiatives while maintaining strict security and compliance standards

Required Technical Skills

• Core Stack: Python, Advanced SQL(Complex joins, window functions, performance tuning), Pyspark
• Platforms: Azure, AWS, Data Bricks, Snowflake
• ETL / Orchestration: Airflow or similar frameworks
• Data Modeling: Star/Snowflake schema, dimensional modeling, OLAP/OLTP
• Visualization Exposure: Power BI
• Version Control & CI/CD: GitHub, Azure Devops, or equivalent
• Integrations: APIs, real-time data streaming, ML model integration exposure

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering or similar roles
• Strong ability to align technical solutions with business objectives
• Excellent communication and stakeholder management skills

What We Offer

• Direct collaboration with the core US data leadership team
• High ownership and trust to manage the function end-to-end
• Exposure to a global environment with advanced tools and best practices

Job Description

We are looking for a skilled .NET FullStack Developer with expertise in .NET , React.js and AWS/Azure to join our development team. The ideal candidate should have strong programming skills and experience building scalable web applications using modern technologies.

Key Responsibilities

• Develop and maintain scalable applications using .NET Core.
• Design and implement Microservices architecture and RESTful APIs.
• Build responsive and dynamic user interfaces using React.js.
• Integrate frontend applications with backend APIs.
• Deploy and manage applications on AWS/Azure
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Write clean, maintainable, and efficient code following best development practices.

Required Skills

• Strong experience in .NET development.
• Hands-on experience with Microservices architecture and API development.
• Experience working with React.js, including API integration and design principles.
• Experience with AWS / Azure

FULL STACK DEVELOPER

JOB DESCRIPTION – FULL STACK DEVELOPER 

Location: Bangalore 

Key Responsibilities:       

Establish processes, SLAs, and escalation protocols for the support & maintenance of web applications       

Manage stakeholders with effective communication & collaborate with cross functional teams to address issues and maintain business continuity.      

Design, implement, unit test, and build business applications using React, React-Native, .Net Core, .Net 8, Azure/AWS and leveraging an agile methodology and latest tech like Agentic AI & Gihub Copilot.     

Facilitate scrum ceremonies including sprint planning, retrospectives, reviews, and daily stand-ups·       

Facilitate discussion, assessment of alternatives or different approaches, decision making, and conflict resolution within the development team       

Develop and administer CI/CD pipelines in cloud-hosted Git repositories, and source control artifacts via Git in alignment with common branching strategies and workflows    

Assist Software Designer/Implementers with the creation of detailed software design specifications      

Participate in the system specification review process to ensure system requirements can be translated into valid software architecture       

Integrate internal and external product designs into a cohesive user experience       

Identify and keep track of metrics that indicate how software is performing     

Handle technical and non-technical queries from the development team and stakeholders      

Ensure that all development practices follow best practices and any relevant policies / procedures 

Other Duties·       Maintain project reporting including dashboards, status reports, road maps, burn down, velocity, and resource utilization.    

Own the technical solution and ensure all technical aspects are implemented as designed. ·       

Partner with the customer success team and aid in triaging and troubleshooting customer support issues spanning across a range of software components, infrastructure, integrations, and services, some of which target 24/7/365 availability     

Flexible to work in rotational shift   

Required Qualification     

Previous experience of leading full stack technology projects with scrum teams and stakeholder management·       

BTech or MTech in computer science, or related field·       

3-5 years of experience.  

Required Knowledge, Skills and Abilities: (Include any required computer skills, certifications, licenses, languages, etc)·      

With Proficiency in .NET Core/.Net 8/, React, React-Native, Redux, Material, Bootstrap, Typescript, SCSS, Microservices, EF, LINQ, SQL, Azure/AWS, CI CD, Agile, Agentic AI, Github Copilot·       

Azure Dev Ops, Design System, Micro front ends, Data Science·       

Stakeholder management & excellent communication skills.    

Must have skills

React - 3 years

React Native - 3 years

Redux - 1 years

Material UI - 1 years

Typescript - 1 years

Bootstrap - 1 years

Microservices - 2 years

SQL - 1 years

Azure - 1 years

Nice to have skills

.NET Core - 3 years

NET 8 - 3 years

AWS - 1 years

LINQ - 1 years

Description

We are currently hiring for the position of Data Scientist/ Senior Machine Learning Engineer (6–7 years’ experience).

Please find the detailed Job Description attached for your reference. We are looking for candidates with strong experience in:

• Machine Learning model development
• Scalable data pipeline development (ETL/ELT)
• Python and SQL
• Cloud platforms such as Azure/AWS/Databricks
• ML deployment environments (SageMaker, Azure ML, etc.)

Kindly note:

• Location: Pune (Work From Office)
• Immediate joiners preferred

While sharing profiles, please ensure the following details are included:

• Current CTC
• Expected CTC
• Notice Period
• Current Location
• Confirmation on Pune WFO comfort

Must have skills

Machine Learning - 6 years

Python - 6 years

ETL(Extract, Transform, Load) - 6 years

SQL - 6 years

Azure - 6 years

 Hiring: Cloud Engineer – MLOps Platform 🚨

📍 Location: Bangalore

🧠 Experience: 5–8 Years

We are looking for an experienced Cloud Engineer to support ML teams and drive end-to-end automation for model deployment across modern cloud platforms.

🔹 Tech Stack:

Azure | Databricks | AKS | ARO | Terraform | MLflow | CI/CD

🔹 Key Responsibilities:

• Build and maintain CI/CD and Continuous Training (CT) pipelines using Azure DevOps, GitHub Actions, or Jenkins.

• Deploy Databricks jobs, MLflow models, and microservices on AKS / ARO environments.

• Automate infrastructure using Terraform and GitOps practices.

• Manage Databricks workspaces, AKS clusters, and networking configurations.

• Implement monitoring, logging, and alerting systems for ML workloads.

• Ensure cloud security, governance, and cost optimization best practices.

🔹 Required Skills:

✔ Strong hands-on experience with Azure, AKS, ARO, and Databricks

✔ Experience with MLflow and Kubernetes-based deployments

✔ Proficiency in Python and Bash / PowerShell scripting

✔ Strong understanding of cloud security, infrastructure automation, and distributed systems

Job Summary:

We are seeking a highly skilled and self-driven Java Backend Developer with strong experience in designing and deploying scalable microservices using Spring Boot and Azure Cloud. The ideal candidate will have hands-on expertise in modern Java development, containerization, messaging systems like Kafka, and knowledge of CI/CD and DevOps practices.Key Responsibilities:

• Design, develop, and deploy microservices using Spring Boot on Azure cloud platforms.
• Implement and maintain RESTful APIs, ensuring high performance and scalability.
• Work with Java 11+ features including Streams, Functional Programming, and Collections framework.
• Develop and manage Docker containers, enabling efficient development and deployment pipelines.
• Integrate messaging services like Apache Kafka into microservice architectures.
• Design and maintain data models using PostgreSQL or other SQL databases.
• Implement unit testing using JUnit and mocking frameworks to ensure code quality.
• Develop and execute API automation tests using Cucumber or similar tools.
• Collaborate with QA, DevOps, and other teams for seamless CI/CD integration and deployment pipelines.
• Work with Kubernetes for orchestrating containerized services.
• Utilize Couchbase or similar NoSQL technologies when necessary.
• Participate in code reviews, design discussions, and contribute to best practices and standards.

Required Skills & Qualifications:

• Strong experience in Java (11 or above) and Spring Boot framework.
• Solid understanding of microservices architecture and deployment on Azure.
• Hands-on experience with Docker, and exposure to Kubernetes.
• Proficiency in Kafka, with real-world project experience.
• Working knowledge of PostgreSQL (or any SQL DB) and data modeling principles.
• Experience in writing unit tests using JUnit and mocking tools.
• Experience with Cucumber or similar frameworks for API automation testing.
• Exposure to CI/CD tools, DevOps processes, and Git-based workflows.

Nice to Have:

• Azure certifications (e.g., Azure Developer Associate)
• Familiarity with Couchbase or other NoSQL databases.
• Familiarity with other cloud providers (AWS, GCP)
• Knowledge of observability tools (Prometheus, Grafana, ELK)

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent verbal and written communication.
• Ability to work in an agile environment and contribute to continuous improvement.

Why Join Us:

• Work on cutting-edge microservice architectures
• Strong learning and development culture
• Opportunity to innovate and influence technical decisions
• Collaborative and inclusive work environment

Hi Folks, we are currently Hiring for Security Engineer.

Gemini said

Hiring: Security Engineer

Company : Pentabay Softwares

Location : Anna salai, Mount Road

Mode: Fulltime

Pentabay Softwares INC is looking for a proactive Security Engineer (2–7 Years Exp) to fortify our global digital solutions. As we scale our footprint in the Healthcare IT sector, you will play a critical role in safeguarding sensitive data (ePHI) and ensuring our cloud-native architectures are resilient against evolving threats.

The Mission

You will be the architect of our defense, bridging the gap between high-speed development and rigorous security standards. Your day-to-day will involve "shifting security left" by embedding DevSecOps practices into our CI/CD pipelines and leading our compliance efforts for SOC 2, ISO 27001, and HIPAA.

Key Responsibilities

Defense & Architecture: Design and maintain secure cloud (AWS/Azure/GCP) and on-prem environments. Implement IAM policies, Zero Trust frameworks, and robust secrets management.

Offensive Testing: Conduct regular vulnerability assessments (VAPT), penetration testing, and code reviews using tools like Burp Suite and Nessus.

DevSecOps & Automation: Integrate SAST/DAST/SCA scanning into engineering workflows. Automate security tasks using Python or Bash.

Incident Response: Monitor SIEM tools (Splunk/CrowdStrike), respond to threats, and develop risk mitigation strategies.

Healthcare Compliance (Plus): Ensure data integrity for HL7/FHIR APIs and maintain HIPAA/HITECH audit readiness for healthcare clients.

What You Bring

Experience: 2–7 years in Information/Application Security with a strong grasp of the OWASP Top 10 and threat modeling (STRIDE).

Technical Depth: Proficiency in network/endpoint security, PKI, encryption standards (TLS/SSL), and container security (Docker/Kubernetes).

Compliance Knowledge: Familiarity with NIST, GDPR, and SOC 2 frameworks.

Tools: Hands-on experience with Metasploit, Wireshark, and Infrastructure-as-Code (Terraform).

Bonus Points: Industry certifications like OSCP, CISSP, or CEH, and experience in Healthcare IT workflows.

Auditing space like ISO27001 , ISO9001 prefered

Why Pentabay?

At Pentabay, we offer more than just a job; we offer a security-first engineering culture.

Growth: A dedicated learning budget for certifications and conferences.

Impact: Work on cutting-edge Healthcare projects that demand the highest levels of data privacy.

Send resumes to : sandhiya.m at pentabay.com

Job opportunity for Developer -Python Full Stack with Siemens at Bangalore.

Interview Process:

1st round of interview - F2F (in-Person)-Technical

2nd round of interview – F2F /Virtual Interview - Technical

3rd round of interview – Virtual Interview – Technical + HR

Job Title / Designation: Developer -Python Full Stack

Employment Type: Full Time, Permanent

Location: Bangalore

Experience: 3-5 Years Job Description: : Developer -Python Full Stack

We are looking for a python full stack expert who has proven 5+ years of experience in developing automating solutions on Linux based environments. You should be capable of developing python-based web applications or automation solutions and have with excellent knowledge on DB handling and decent knowledge of the K8-based deployment environment.

Required Skills:

• Solid experience in Python back-end technology
• Sound experience in web application development
• Decent knowledge and experience in UI development using JavaScript, React/Angular or related tech stack.
• Strong understanding of software design patterns and testing principles
• Ability to learn and adapt to working with multiple programming languages.
• Experience Docker, ArgoCD, Kubernetes and Terraform
• Understanding of ETL processes to extract data from different data sources is a plus.
• Proven experience in Linux development environments using Python.
• Excellent knowledge in interacting with database systems (SQL, NoSQL) and webservices (REST)
• Experienced in establishing an optimized CI / CD environment relevant to the project.
• Good knowledge on repository management tools like Git, Bit Bucket, etc.
• Excellent debugging skills/strategies.
• Excellent communication skills
• Experienced in working in an Agile environment.

Nice to have

• Good Knowledge in eclipse IDE, developed add-ons/ plugins on eclipse Platform.
• Knowledge of 93K Semiconductor test platforms
• Good know-how of agile management tools like Jira, Azure DevOps.
• Good knowledge of RHEL
• Knowledge of JIRA administration