50+ Windows Azure Jobs in India

Working hours -

Shift 1 - 3 AM to 12:30 PM IST ( 5:30 PM to 3 AM EST)

Shift 2 - 11 AM to 8:30 PM IST ( 01:30 AM to 11 AM EST)

Must Have Skills :

Minimum 7+ years of hands-on experience in Site Reliability Engineering (SRE) and/or DevOps.

Proven experience in a Technical Lead/Team Lead role.

Strong expertise in Linux administration and troubleshooting.

Hands-on experience with automation and scripting (Shell, Python, PowerShell, etc.).

Strong knowledge of DevOps tools and CI/CD pipelines.

Experience working on at least one major cloud platform: Azure, AWS, or GCP.

Experience managing production environments with a focus on availability, reliability, monitoring, and incident management.

Strong troubleshooting, problem-solving, and root cause analysis skills.

Senior AI Engineer — .NET / C# 📍 Coimbatore / Chennai · Hybrid | 6+ Years | Immediate – 30 Days Notice

About Techjays

We build production-grade AI systems for enterprise clients across the US, UK, and Australia. As an Anthropic partner, we work at the frontier of AI — not experiments, but real systems that ship and scale. Our team includes engineers from Google, Akamai, NetApp, and Capgemini.

What You'll Do

• Build and ship .NET applications for enterprise clients — from design to deployment
• Integrate LLM APIs (Claude, OpenAI, Azure OpenAI) into production .NET services
• Use Claude Code daily for coding, debugging, and code reviews
• Build React UIs from wireframes to production
• Own SQL Server architecture, optimisation, and EF migrations
• Lead code reviews and mentor the team
• Work with PMs and Delivery Managers to hit sprint goals

What We're Looking For

• 6+ years in .NET — C#, ASP.NET Core, Entity Framework
• Hands-on with Claude Code or similar AI coding tools
• Strong Azure — App Services, Functions, Service Bus, Cosmos DB, DevOps
• Solid React — hooks, state management, component architecture
• Expert SQL Server skills
• Experience with RESTful and GraphQL APIs at scale
• Good grasp of Clean Architecture, DDD, CQRS, microservices

Bonus: Python, Docker, vector databases, Semantic Kernel, SignalR, GCP/AWS

Why Join

• Greenfield projects — you design the architecture
• Anthropic partner — early access to frontier AI tools
• Global client exposure with real business impact
• Team of engineers who've built at scale

Hi All,

Hope you are doing well,

If you are interested, please do revert back with the updated resume.

Position: Gen AI architect

Location: PAN India

Job Description:

AI/ML, Python, GenAI, Azure/AWS

Interview process:

1st level Assessment – HACKERRANK TEST(Candidate should be comfortable)

Job Summary:

We are looking for an experienced Elasticsearch Specialist with 10+ years of IT experience and strong expertise in designing, implementing, and managing large-scale Elasticsearch clusters. The ideal candidate will have deep knowledge of ELK Stack (Elasticsearch,

Logstash, Kibana), performance tuning, data ingestion pipelines, and large-scale search/analytics platforms.

The candidate will work closely with DevOps, Security, and Engineering teams to build highly scalable, secure, and reliable observability and search platforms.

Key Responsibilities:

• Design, implement, and manage large-scale Elasticsearch clusters in production environments.
• Develop and optimize data ingestion pipelines using Logstash, Beats, and other data collectors.
• Perform cluster performance tuning, index optimization, and query optimization.
• Implement high availability, scalability, and disaster recovery strategies for Elasticsearch.
• Monitor cluster health and troubleshoot issues related to performance, indexing, and search latency.
• Work on data parsing, transformations, and enrichment using Grok, ingest pipelines, and scripting.
• Automate Elasticsearch deployments using Ansible, Terraform, or other automation tools.
• Integrate Elasticsearch with cloud platforms (AWS / Azure / GCP).
• Implement security features such as RBAC, encryption, and authentication.
• Collaborate with development teams to design efficient search and analytics solutions.
• Maintain Kibana dashboards and visualizations for monitoring and analytics.
• Provide technical leadership and mentor junior engineers.

Required Skills & Experience

• 10+ years of overall IT experience.
• 5+ years of hands-on experience with Elasticsearch.
• Strong expertise in ELK Stack (Elasticsearch, Logstash, Kibana).
• Experience in index design, shard management, and cluster scaling.
• Strong knowledge of data parsing using Grok, Regex, and Logstash pipelines.
• Experience with automation tools like Ansible, Terraform, or scripting.
• Experience with Linux system administration.
• Strong understanding of REST APIs and JSON data structures.
• Experience in performance tuning and troubleshooting Elasticsearch clusters.
• Experience working with large data volumes (TB scale).

Preferred Skills

• Experience with Elastic Stack Security features.
• Experience with Observability platforms and log analytics solutions.
• Experience with On-premises AWS / Azure / GCP deployments.
• Knowledge of Kafka, Fluentd, or other data streaming tools.
• Certification in Elastic technologies is a plus.

Soft Skills

• Strong problem-solving and analytical skills.
• Ability to work in fast-paced production environments.
• Excellent communication and collaboration skills.
• Ability to lead technical discussions and architecture decisions.

Nice to Have

• Experience in Security analytics or SIEM platforms.
• Experience building large-scale observability platforms.

Job Summary:

We are seeking a Principal DevSecOps Engineer/Architect with deep expertise in Terraform, Atlantis, and large-scale multi-cloud environments (200–300+ accounts/subscriptions). This is a client-facing consulting role, responsible for designing and governing secure, scalable infrastructure and CI/CD platforms across enterprise environments.

This role goes beyond implementation, you will define standards, governance models, and automation frameworks for large organizations operating at scale.

Key Responsibilities:

Cloud Platforms / AWS Expertise

• AWS (Expert) – Organizations, IAM, VPC, Security services
• Strong hands-on experience with AWS Service Catalog to design, publish, and manage standardized, secure infrastructure products across multi-account AWS environments
• Proven ability to enforce governance, compliance, and cost controls by integrating Service Catalog with IAM, SCPs, and CI/CD pipelines
• Experience with Azure or GCP (multi-cloud exposure required) Enterprise DevSecOps Architecture
• Architect and standardize end-to-end DevSecOps platforms
• Design secure, scalable CI/CD pipelines using Jenkins & GitHub Actions
• Embed security gates (SAST, DAST, SCA, container security) into pipelines
• Define reusable pipeline templates across multiple teams/business units Terraform + Atlantis (Must-Have, Core Focus)
• Design and manage large-scale Terraform architecture across 200–300+ cloud accounts
• Implement Terraform modules, remote backends, and state isolation strategies
• Build and manage Atlantis workflows for automated Terraform plan/apply
• Enforce:Code reviews & approvals for infra changes Policy-as-code (OPA / Sentinel)
• Drift detection & remediation

Multi-Cloud Architecture (AWS + Azure/GCP)

• Architect multi-cloud landing zones and governance frameworks
• Manage large account structures:

AWS Organizations (multi-account strategy) Azure Management Groups / Subscriptions

• Implement:

Network segmentation (VPC/VNet design) Identity federation (SSO, IAM, RBAC) Cross-account access models

• Ensure high availability, scalability, and cost optimization Security & Compliance at Scale
• Implement DevSecOps controls aligned with SOC 2, PCI-DSS, GDPR
• Integrate tools like: JFrog Xray (SCA) SonarQube (SAST)

Trivy / Prisma / Wiz (container & cloud security)

• Build policy-as-code frameworks for compliance enforcement
• Automate evidence collection for audits

Artifact & Dependency Management

• Architect secure artifact lifecycle using JFrog Artifactory
• Implement access control, immutability, and vulnerability scanning
• Standardize dependency management across teams Observability & Reliability
• Implement centralized logging/monitoring:
• CloudWatch, ELK, Prometheus/Grafana
• Define SLOs/SLIs for platform reliability
• Reduce MTTR via automation and alerting

Consulting & Leadership

• Act as a trusted advisor to enterprise clients
• Lead architecture discussions and DevSecOps transformation programs
• Mentor teams and enforce engineering best practices
• Drive platform adoption across multiple business units

Required Skills:

Infrastructure as Code (Core)

• Terraform (Expert level)
• Atlantis (Hands-on implementation at scale)
• Strong experience with multi-account architecture (200–300+ accounts)

DevOps Tooling

• Jenkins (advanced pipelines)
• GitHub Actions (enterprise workflows)
• GitOps practices

Cloud Platforms

• AWS (Expert) – Organizations, IAM, VPC, Security services
• Experience with Azure or GCP (multi-cloud exposure required)

Security Stack

• SAST, DAST, SCA tools integration
• Container security & Kubernetes security
• Secrets management (Vault / AWS Secrets Manager)

Programming/Scripting

• Python / Bash (automation focus)

Preferred Qualifications:

• Experience with Kubernetes (EKS/AKS/GKE) at scale
• Knowledge of Zero Trust Architecture
• Experience with OPA / Sentinel (policy-as-code)
• Familiarity with platform engineering concepts (Internal Developer Platforms)

Certifications (Good to Have)

• AWS Solutions Architect – Professional
• Terraform Associate / Advanced Terraform certifications
• CISSP / CKS (Kubernetes Security)

What Makes This Role Premium

• Ownership of large-scale (200–300 account) cloud environments
• Direct impact on enterprise DevSecOps maturity
• Client-facing architecture & strategy role (not just execution)
• Opportunity to define organization-wide standards

Essential Functions/Responsibilites :

• Provide hands-on development in the application development, unit test, and rollout of strategic web and Mobile initiatives.

• Develop both front-end and back-end for web/mobile applications, working with a hybrid internal/vendor team, to support various lines of business and functional areas

• Work with Business Owners and Business Analysis teams, to create business requirements.

• Document technical requirements and technical specifications for Web/Mobile applications (and related integrated solutions) and provide technical solutions to support those needs.

• Provide feedback (and approval) on technical designs and methods to support business requirements.

• Effectively communicate relevant project planning and status information to leadership/management.

• Deliver engaging, informative, well-organized demos/presentations that are effectively tailored to the intended audience, as needed

Additonal Job Requirements :

• Solid understanding of RDBMS & NoSQL databases.

• Expert in back-end development using .NET, C# or Python

• Expert in front-end development using Angular, Ionic, HTMLt, SCSS/CSS, Typescript,

JavaScript, Unit test framework - Jasmine, Jest, NgRx, RxJS, material design/Bootstrap.

• Knowledge of front-end code quality tools like ESLint, Pre^er, SonarQube, RESTful API

design and client consumption, Micro-front-end Architecture, Angular SSR.

• Knowledge of asyncio, Cosmos/Mongo DB, Redis/Distributed cache

• Experience using PAAS and SAAS resources in Azure or GCP.

• Knowledge of Kubernetes, Microservice/ Event driven architecture is a plus.

• Experience using Azure DevOps /GIT based source control systems.

• Knowledge of OAuth/OIDC, SAML, SSO is a plus.

• Strong experience with building and maintaining a reusable component library.

• Experience with maintaining and improving an existing codebase, focusing on improving performance, scalability, and user experience.

• Excellent problem-solving skills and critical thinker.

• Excellent verbal and written communication skills to interact with staff and business partners

ML Engineer — Test & Learn Platform (3+ Years Experience)

About the Role

We're looking for an ML Engineer to join our Test & Learn Platform team. You'll build

and scale our experimentation and causal inference services — from statistical engines

to API integrations and cloud pipelines — empowering business teams globally to make

data-driven decisions.

What You'll Do

 Develop and maintain statistical/ML modules (DID, Synthetic Control, A/B

Testing, Multi-Treatment Effects) in Python

 Build and extend FastAPI services and integrate them with our web application

via SDK wrappers

 Design and optimize large-scale data pipelines using PySpark, Delta Lake, and

Azure Data Lake

 Profile and resolve OOM issues in PySpark jobs — optimize memory allocation,

partitioning, broadcast joins, caching strategies, and Spark configurations

 Deploy and manage workloads on Databricks, including job clusters, notebooks,

and Delta Lake tables

 Containerize and deploy services using Docker, Kubernetes, and CI/CD pipelines

 Ensure code quality and security via SonarCloud, Snyk, and pytest

 Collaborate with data scientists and product teams to translate research into

production-ready modules

Must-Have Skills

 Python (3.9+) — 3+ years of production experience

 PySpark & Spark Internals — strong experience with Spark memory model,

executor tuning, shuffle optimization, and diagnosing/resolving OOM errors

(broadcast thresholds, partition skew, spill-to-disk, GC tuning)

 Databricks — hands-on with job orchestration, cluster configuration, notebook

workflows, and Delta Lake optimization (Z-ordering, compaction, caching)

 Causal Inference & Experimentation — DID, synthetic control, A/B testing,

hypothesis testing, panel data methods

 Statistics/ML Libraries — statsmodels, scikit-learn, scipy, pandas, numpy

 API Development — building RESTful services with FastAPI (or similar)

 Cloud (Azure) — Azure Storage, Azure ML, Data Lake

 Docker & Kubernetes — containerization and orchestration for ML workloads

 Testing — writing robust unit/integration tests with pytest

Nice-to-Have

 Experience with Celery/Redis for async task orchestration

 Familiarity with Polars, PyArrow, or SQLAlchemy

 Background in econometrics or experimental design

 Spark UI profiling and performance benchmarking

 CI/CD tooling (SonarCloud, Snyk, GitHub Actions)

What Sets You Apart

 You can look at a Spark execution plan and pinpoint why a job is OOM-ing

 You think in modules — clean separation of data processing, inference, and post-

processing

 You can go from a Jupyter notebook prototype to a production-grade, testable

service

 You're comfortable with both statistical rigor and software engineering best

practices

A Staff Engineer at CAW is a technical and people leader responsible for end-to-end project delivery and the growth of engineers. You own technical design (LLDs), contribute to HLD discussions, lead execution, ensure engineering best practices, and act as the primary technical point of contact for clients. You manage a set of engineers, supporting their career progression through mentorship, feedback, and performance development.

Responsibilities:

• Own Low-Level Design (LLD) and code quality; contribute to HLD discussions under guidance.
• Own end-to-end project delivery: requirements understanding, sprint planning, execution, risk management, and production readiness.
• Lead the project engineering team with clear technical direction, ownership, and execution accountability.
• Act as primary people manager for assigned engineers; own their career progression, mentorship, and growth.
• Provide regular 1:1s focused on skill development, feedback synthesis, and long-term career goals.
• Serve as primary technical point of contact for clients; build trust through clear communication and proactive problem-solving.
• Ensure best practices across architecture, implementation, testing, and production readiness.
• Establish disciplined AI usage across the team for design validation, reviews, testing, and documentation.

The core requirements for the job include the following:

Technical Expertise:

• In-depth knowledge of C#. NET languages and the DotNet Core Web API Framework.
• Strong SQL skills: complex queries, stored procedures, functions; PostgreSQL or SQL Server proficiency.
• Experience with Entity Framework or Dapper ORM.
• ReactJS/Angular frontend experience.
• Cloud, Agile, CI/CD, and DevOps environments.
• Solid grasp of SOLID Principles and OOPS Concepts.

Leadership and Ownership:

• Proven ability to own feature-level delivery end-to-end with minimal supervision.
• Strong people management skills with a track record of mentoring and developing engineers.
• Exposure to system design and architecture discussions.
• Production-first mindset with a focus on reliability, scalability, and operational excellence.

AI Systems and Engineering (Nice to Have):

• Advanced experience deploying RAG or agent-based systems with LangGraph orchestration.
• Expert-level mastery of async Python, system thinking, and building scalable backends.
• Design modular, maintainable multi-agent AI systems aligned with SOLID principles.
• Build high-concurrency, async Python backends for complex AI workloads with enterprise stability.
• Architect sophisticated agentic workflows using LangGraph with state persistence and error recovery.
• Design and optimize RAG pipelines: advanced chunking, hybrid search, and re-ranking.
• Collaborate on reusable AI components and internal frameworks to enhance team velocity.
• Authentication Providers (IdentityServer, Auth0 or equivalent).

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as an IFC - ETL Developer where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.

To be successful as an IFC - ETL Developer you should have experience with:

• Ab-Initio design, develop, and maintain complex ETL processes and data flows using Ab-Initio platform.
• Unix, strong command-line proficiency for job scheduling, monitoring, and system administration.
• Python, develop scripts for data validation, automation, and integration tasks.
• Data Warehouse concepts/Design: Design and implement enterprise data warehouse solutions, dimensional modeling, star/snowflake schemas, and ETL architectures.
• Strong knowledge of data pipeline optimization, performance tuning, and data quality management, with a proven track-record of delivering scalable data warehousing solutions.

Some other highly valued skills include:

• AWS Cloud-based data storage and processing solutions.
• Hadoop Big data ecosystem for large-scale data processing and analytics.
• Strong problem-solving skills and ability to multi-task.
• Experience with integration of multiple data sources and toolsets.

Backend Engineer (Node.js)

Experience - 4+ Years

Location - Bangalore (Hybrid)

We are looking for a Backend Engineer to help design, scale, and continuously improve the platform.

What You'll Do -

• Engage in fast-paced agile application development teams in terms of organizing, managing and executing your work with minimal supervision.
• Participate with the team and stakeholders on requirements understanding, design and solutions in line with the product architecture.
• Build and maintain high performing, high quality backend services and APIs with end-to-end responsibility from development to technical QA (unit tests) by applying technology and best practices.
• Design and manage scalable data pipelines, integrations, and microservices that power the platform.
• Provide necessary technical documentation to enable visibility and maintainability of designs and code.
• Play an integral role in acquiring and learning technology trends, expertise, and best practices to keep the team's collective knowledge up to date.

What We're Looking For

Education

• Masters/bachelor's degree in engineering from a reputed university with an excellent academic record.
• Any relevant certifications on technology from reputed sources is a plus.

Work Experience

• 4+ years of relevant industry experience. Experience working in Energy, Oil & Gas or Engineering domain is a definite plus.
• Experience working in distributed agile developments. Experience working in international teams is relevant.

Technical Skills

• Hands-on experience building scalable backend services and REST/GraphQL APIs using Node.js and TypeScript. Further hands-on experience with NestJS or Express.js is a plus.
• Strong understanding of databases including relational (PostgreSQL, SQL Server) and NoSQL (MongoDB, Redis) systems, including query optimization and data modeling.
• Good understanding of event-driven architecture and messaging systems such as Kafka, RabbitMQ, or Azure Service Bus.
• Good understanding of the concepts and application of unit and integration tests in backend development. Hands-on experience using Jest or Mocha is a plus.
• It is an advantage if you have hands-on experience working in Cloud (Azure) applications especially in areas of DevOps, CI/CD, and Containerization (Docker, Kubernetes).
• It will be a valuable addition if you have experience and knowledge working for energy, oil & gas or engineering industries.

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.

7+ years of relevant experience in Data Engineering.

Strong hands-on experience with Azure Data Engineering services.

.

4+ yrs of Databricks and Lakeflow Declarative Pipelines.

Experience in building scalable data pipelines and ETL/ELT workflows.

Good understanding of data processing, transformation, and optimization techniques.

Experience working with large-scale structured and unstructured data.

Strong problem-solving and performance optimization skills in data platforms

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're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Here, we don't just adapt to the future – we create it. Embark on a transformative journey as a Full Stack Developer– VP in Securitized Products, where you'll lead end-to-end development of mission-critical financing platforms, blending deep technical expertise with financial acumen to build scalable solutions that redefine how we structure, price, and trade mortgages. while shaping the technical vision for next-generation securitization systems.

To be successful in this role you should possess:

• Proficiency in developing RESTful APIs and microservices using Java Spring Boot. Strong understanding of Spring Framework (e.g., Spring MVC, Spring Security, Spring Data, Spring Batch, Spring AI).
• Hands-on experience with major cloud platforms like AWS, or Azure, including containerization using Docker and Kubernetes, and CI/CD pipeline implementation.
• Graduate Degree, with Hands-on experience with JavaScript, Angular v 17 or higher.
• Versatile technologist capablities of making strategic technical decisions and delivering scalable, cloud-native solutions across the full development lifecycle.

Some other highly valued skills may include:

• Candidates with experience in Banking / Finance domain preferred
• Having experience managing a team is considered an advantage.
• Database proficiency is essential in both SQL systems such as Oracle and MySQL, and NoSQL solutions like MongoDB.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This is a 100% remote opportunity.

Roles & responsibilities

• The candidate should have a Bachelor’s degree in Computer Science or a related field 
• Administration, Installations, Migrations, Patching, Backup and Recovery to provide 24x7 Production Support.
• Monitoring and analyzing Logs.
• Good understanding of Indexes, Statistics and Postgres
• Experience working in "Performance Tuning"
• Creation and maintenance of Databases, creating Roles and managing user permissions, resolving deadlocks.
• Worked on Database Maintenance, Backups and Recovery Plans.
• Database Monitoring, Performance Tuning, Query Optimization, Backup/Recovery, Security Management.
• Worked on Replication and Log Shipping related issues.
• Worked with Crontab 
• Administering databases in development, test, QA and production environment.
• Automation using PowerShell scripts, BASH, Python
• Implementing best practices for access controls
• Ability to document technical as well as management process flows
• Ability to work effectively with business areas, IT Support teams and peers
• Strong verbal and written communication skills
• Not required, but nice to have: experience working in Azure, AWS or Snowflake

• Strong hands-on experience in Microsoft Azure Cloud.
• Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
• Basic understanding of Azure AI Foundry and AI-related Azure service setup.
• Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
• Strong knowledge of Terraform, especially:
• Terraform state
• plan / apply
• troubleshooting failures
• migration risks
• Terraform Enterprise concepts
• Strong Python coding capability, not just basic scripting.
• Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
• Good understanding of CI/CD pipelines.
• Ability to troubleshoot pipeline failures.
• Comfortable with YAML and JSON.
• Ability to troubleshoot Azure infrastructure/platform issues.
• Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
• Basic awareness of agentic AI / LLM concepts.
• Awareness of security and cost best practices.

Good to Have Skills

• Hands-on experience with Harness.
• Hands-on experience with Terraform Enterprise.
• Exposure to LangGraph / LangChain.
• Exposure to agentic AI workflows or skill creation.
• Exposure to Claude or enterprise LLM integrations.
• Knowledge of Azure ML Workspace, model registry, and managed endpoints.
• MLOps / LLMOps knowledge.
• FinOps / Azure cost optimization experience.
• Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

Screening Priority:

Azure Cloud + Terraform + Python Coding + CI/CD Troubleshooting + YAML/JSON + Basic Agentic AI Awareness

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.

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

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.

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

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