Accountant

Job Title : Flutter Dart Developer (Backend Heavy - Node.js)

Experience Required : 5+ Years

Location : Bellandur & Manthali, Bangalore – Onsite Only

Type : Contractual

About the Role :

We are looking for an experienced Flutter Dart Developer with a backend-heavy architecture (Node.js) to join our team on a contractual basis.

This role goes beyond basic UI development — we need someone who understands the complexities of security, caching, APIs, SQL, server-side rendering, performance tuning, and scalable backend architecture.

Mandatory Skills : Flutter, Dart, Backend-heavy architecture (Nodejs), RESTful APIs, SQL, Caching, Firebase, State Management (Bloc/Provider/Riverpod), Performance Tuning, Git, Mobile Deployment (iOS & Android), Agile

Key Responsibilities :

• Develop high-performance cross-platform apps using Flutter & Dart.
• Translate complex UI/UX into responsive mobile experiences.
• Collaborate with product, design, and backend (Node.js) teams to deliver scalable features.
• Implement caching, security, SQL, and performance optimization strategies.
• Integrate RESTful APIs, Firebase, and third-party libraries.
• Conduct code reviews and support junior developers.
• Stay updated on emerging mobile/backend technologies.

Required Skills & Qualifications :

• 5+ Years in Mobile Development, 3+ Years with Flutter & Dart.
• Strong knowledge of state management (Bloc, Provider, Riverpod).
• Hands-on experience in Node.js for backend development.
• Expertise in API design, SQL, caching, offline storage, security, and performance tuning.
• Experience with Firebase, push notifications, and app deployment on iOS & Android.
• Familiarity with native mobile development (Kotlin/Java or Swift/Obj-C) is a plus.
• Proficient in Git and Agile methodologies with excellent problem-solving skills.

Job Title : Node.js Developer

Experience : 3+ Years

Location : Gurgaon

Interview Rounds : 3

Mandatory Key Skills :

• Node.js, TypeScript
• PostgreSQL, MongoDB
• API Development, Microservices

Responsibilities :

• Develop and maintain scalable backend applications.
• Design and optimize database queries in PostgreSQL & MongoDB.
• Collaborate with cross-functional teams for seamless integration.

Position Responsibilities:

Deltek is seeking a skilled specialized Automation Engineer with expertise in testing and test automation of AI-powered workflows and intelligent features across ERP product lines. This role blends traditional ERP quality engineering with next-gen AI validation, ensuring that embedded AI capabilities are accurate, safe, compliant, explainable, and scalable.

The ideal candidate needs strong ERP domain knowledge, hands-on automation expertise, and understands how to evaluate LLM-driven responses, predictive analytics, recommendations, and AI decision support outputs. This role requires a detail-oriented individual who can work collaboratively with cross-functional teams to ensure the delivery of high-quality ERP solutions.

Responsibilities

• Develop end-to-end test strategy for AI features across ERP modules such as Finance, Supply Chain, Projects, HR, and Payroll
• Execute functional, regression, scenario-based, and exploratory testing for AI-enhanced workflows
• Validate AI/ML outputs including:
• Prediction accuracy & scoring
• Recommendation relevance
• Natural-language responses
• Behavior consistency across edge cases
• Create and maintain automation suites for UI/API and AI validations
• Design AI safety test cases → hallucination detection, bias testing, ethical and compliance alignment
• Collaborate with Product Managers, AI/ML engineers, SMEs, and Developers to define release quality gates
• Ensure test coverage of data pipelines: input validation, data sampling, transformations, and output visualizations
• Contribute to performance, scalability & data-drift testing of AI features in ERP contexts
• Maintain test documentation — test plans, test cases, defect logs, and sprint reports
• Drive automation adoption in CI/CD pipelines for AI-enabled releases
• Provide mentorship to senior engineers and teams, guiding best practices and fostering professional development.

Qualifications & Experience:

• BS/MS degree in Computer Science or a related field.
• 6+ years of proven experience in automation testing, with at least 2+ years working with AI or ML-based systems
• Proven track record of designing and implementing AI Based automation solutions.
• Expertise in multiple automation tools and frameworks, with a deep understanding of the latest technologies.
• Experience in developing and refining overall strategies for API testing.
• Proficiency in using version control systems like Git for managing code.
• Experience with cloud-based ERP solutions.
• Experience with performance and security testing.
• Strong debugging and analytical skills

Good-to-Have Skills

• Understanding of LLM fine-tuning, vector databases, RAG pipelines, embeddings
• Familiarity with data privacy & compliance frameworks
• Experience with security testing for AI systems
• Exposure to AIOps or self-healing automation frameworks.

Technical Qualifications:

• In-depth understanding of modern QA methodologies, tools, and processes with a focus on AI-driven features and intelligent workflows.
• Strong understanding of API architectures including REST, SOAP, GraphQL, and WebSocket, along with experience validating AI-generated responses via APIs (e.g., LLM response endpoints, inference APIs).
• Hands-on experience with API testing tools such as Postman, SoapUI, JMeter, or REST Assured, including automated evaluation of AI output scoring / JSON inference payloads.
• Proficiency in one or more programming languages — Java, Python, or JavaScript — with the ability to build AI output validation utilities, automated prompt-testing harnesses, or data-driven frameworks.
• Knowledge of CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and automation integration for AI feature regression and model-response validation.
• Familiarity with LLM / ML concepts from a QA perspective — prompt testing, hallucination detection, prediction scoring, explainability validation, bias checks, guardrail/output sanitization.
• Strong SQL and database testing skills, including validation of training datasets, feature store data, and end-to-end AI data pipelines.
• Good understanding of Agile / Scrum development practices with experience participating in AI model release cycles (shadow mode, AB comparison, fine-tuning validation, or phased rollout).
• Soft Skills:
• Excellent communication and collaboration skills.
• Ability to manage multiple tasks/projects concurrently.
• Strong interpersonal skills for working in a team-oriented environment.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proactive and self-motivated with a strong desire for continuous learning and improvement.

Role Summary

Provide architectural leadership across a large-scale, multi-cloud data ecosystem, helping design and guide scalable, future-ready data platforms.

Key Responsibilities

• Design and review data architectures across Google Cloud and Microsoft Azure (multi-cloud).

• Guide decisions around data platforms, pipelines, streaming, and integration patterns.

• Advise on abstraction layers, APIs, messaging/streaming (Kafka, MQ), and system interoperability.

• Partner with engineering teams to ensure designs are practical and executable.

Key Skills

• Deep experience with large-scale data platforms and distributed systems.

• Strong background in multi-cloud architectures (GCP + Azure).

• Expertise in data pipelines, streaming, and enterprise integration.

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

• Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

• Define cloud architecture standards, reference architectures, and best practices.

• Lead cloud migration and modernisation initiatives across enterprise workloads.

• Implement multi-region disaster recovery and business continuity strategies.

• Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

• Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

• Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

• Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

• Establish branching strategies, release management, and environment promotion standards.

• Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

• Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

• Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

• Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

• Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

• Design and implement enterprise MLOps frameworks.

• Build automated model training, validation, deployment, and monitoring pipelines.

• Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.

• Build AI Agents using Azure AI Foundry.

• Develop Agent-to-Agent communication patterns.

• Implement Retrieval Augmented Generation (RAG) architectures.

• Build enterprise Knowledge Management and AI Skill Registry platforms.

• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

• Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

• Mentor and guide junior architects, developers, and DevOps engineers.

• Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

• Produce architecture documentation, decision records (ADRs), and roadmaps.

• Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

• 10+ years of experience in cloud engineering and architecture.

• 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

• Proven experience designing and implementing enterprise-grade CI/CD pipelines.

• Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

• Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

• Deep knowledge of DevSecOps principles, tools, and practices.

• Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

• Proficiency in scripting and development: Python, PowerShell, Bash.

• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert.

• Microsoft Certified: DevOps Engineer Expert.

• Microsoft Certified: Azure AI Engineer Associate.

• Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

• Familiarity with Datadog, Prometheus, or equivalent observability platforms.

• Experience in the real estate, retail, or enterprise industry sector.

• Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

• Background in building Internal Developer Platforms (IDP).

Technical Skills Required:

• Frontend: Proficiency in HTML, CSS, JavaScript, and frameworks like React.js or Vue js.
• Backend: Hands-on experience with Node.js, PHP, or along with frameworks like Express.
• Database: Experience with relational databases like MySQL, PostgreSQL,
• Version Control: Familiarity with Git and Git-based workflows.
• Understanding of RESTful APIs and integration with third-party services.
• Basic knowledge of DevOps practices, CI/CD pipelines, and cloud platforms is a plus.

Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• Proven experience working on full-stack development projects.
• Strong problem-solving and analytical skills.

The client is currently interviewing candidates who are based in Gujarat

Job Description

Job Location - Hyderabad & Ahmedabad

What you'll do:

· Perform complex application programming activities with an emphasis on mobile development: Angular, ionic, Node, TypeScript, JavaScript, Apache Cordova, RESTful APIs and more

· Assist in the definition of system architecture and detailed solution design that are scalable and extensible

· Collaborate with Product Owners, Designers, and other engineers on different permutations to find the best solution possible

· Own the quality of code and do your own testing. Automate feature testing and contribute UI testing framework

· Become a subject matter expert for our mobile applications

· Deliver amazing solutions to production that knock everyone’s socks off

· Mentor junior developers on the team

What we’re looking for:

· Amazing technical instincts. You know how to evaluate and choose the right technology and approach for the job. You have stories you could share about what problem you thought you were solving at first, but through testing and iteration, came to solve a much bigger and better problem that resulted in positive outcomes all-around.

· A love for learning. Technology is continually evolving around us, and you want to keep up to date to ensure we are using the right tech at the right time.

· A love for working in ambiguity—and making sense of it. You can take in a lot of disparate information and find common themes, recommend clear paths forward and iterate along the way. You don’t form an opinion and sell it as if it’s gospel; this is all about being flexible, agile, dependable, and responsive in the face of many moving parts.

· Confidence, not ego. You have an ability to collaborate with others and see all sides of the coin to come to the best solution for everyone.

· Flexible and willing to accept change in priorities, as necessary

Preferred Qualifications:

· Proficient with Apache Cordova framework

· Built or maintained custom Cordova plugin

· Demonstrable knowledge of native coding background in iOS

· Understanding of Apple certificate and profile management

· Experience developing and deploying applications within Kubernetes based containers

· Experience in Agile and SCRUM development techniques

Key Responsibilities:

·        Develop and create websites, applications, and systems

·        Participate on the Development and Testing Phase of the Projects

·        Participate as a member of the Scrum team

·        Maintain and enhance existing Projects

·        Deliver quality output on all Projects

·        Showcase your analytical and problem-solving ability.

·        Guide and Mentor other developers

·        Be updated on the latest technologies

Requirements:

·        More than 4-8 years’ experience in PHP

·        Must have minimum 4 years work experience in Laravel framework

·        Knowledge and experience in: MySQL, JQuery, Bootstrap, HTML,CSS

·        Knowledge on Coding Standards, Design Patterns, and Best Practices

·        Has actual experience and understanding on Agile Software Development

·        Ability to prioritize and handle multiple tasks and projects concurrently.

·        Able to mentor, collaborate and guide other team members

·        Team Player, Proactive and Accountable