Job Title: Lead .NET Developer 

Location: Open to any Orion Innovation office - Mumbai/Pune/Kochi/Hyderabad/Chennai/Coimbatore/Kochi

Work type: Hybrid (12 days in office required)

Mandatory Skills & Experience

• Strong experience with C# / .NET writing high-quality code with test coverage.
• Testing methodologies such as test-driven development or playwright.
• Proven experience as a technical lead within a delivery team
• Leading lower-level architectural and design decisions and setting engineering standards
• Performing code-reviews and ensuring maintainable and secure code
• Driving best practices for API design, data access and security
• Collaborating with product, platform, security, and architecture stakeholders
• Ownership of OAuth2/OIDC flow selection and standardization, with clear authorization strategies
• Strong EF experience, including schema migrations across both SQL and NoSQL
• Experience building solutions on Azure
• Writing unit and integration tests; using mocking frameworks
• Strong understanding of SOLID principles and clean code practices
• Experience working with CI/CD pipelines (ideally Azure DevOps)
• Comfortable working in an Agile delivery environment

Nice to Have

• Defining and evolving CI/CD standards across teams
• Deep hands‑on experience with Terraform on Azure
• Ownership of test strategy (unit, integration, contract, automation)

Job Title: Lead Front End Developer
Location: Pune/ Mumbai/ Chennai/ Coimbatore/ Hyderabad/Kochi
Hybrid role (12 days in office)

Proven experience providing technical leadership within a delivery team, including mentoring developers and guiding front‑end design decisions
Setting and enforcing engineering standards, best practices, and quality gates for Angular codebases
Performing and leading code reviews, ensuring readability, performance, accessibility, and security of front‑end code
Good understanding of Git version control and branching strategies, using GitHub and/or Azure DevOps
Solid experiencing building Angular applications for production, including bundling, optimisation, minification, tree‑shaking, and build configuration etc.
Strong front‑end development experience using Angular and TypeScript (mandatory), building maintainable, testable, and performant UI applications
Experience implementing unit, integration, and end‑to‑end tests for Angular applications (e.g. Jasmine/Karma, Jest, Playwright)
Solid understanding of modern front‑end architecture patterns, state management, and component design
Experience working closely with back‑end, product, UX, and platform teams to deliver cohesive user experiences

Nice to have

Experience developing and deploying Angular applications in Microsoft Azure environments (e.g. CI/CD, App Services)

Title: Senior Technical Delivery Manager – Data Platform & Products

We are seeking a Senior Technical Delivery Manager to lead the end-to-end delivery of the data platform and its data products, ensuring delivery is structured, predictable, and aligned across multiple teams and dependencies.

This role is responsible for driving execution, managing dependencies and risks, and ensuring that delivery progresses against agreed scope and timelines.

Role Purpose

• Ensure successful delivery of the data platform and initial data products
• Bring structure, discipline, and predictability to delivery
• Act as the central point for coordination across squads, stakeholders, and dependencies

🔧 Key Responsibilities

Delivery Leadership

• Own and drive:
• Delivery plans
• Milestones
• Execution tracking
• Ensure delivery progresses against baselined scope
• Maintain clear visibility of:
• Status
• Risks
• Dependencies

RAID Management (Critical)

• Establish and maintain a robust RAID log
• Ensure:
• Risks are identified early
• Assumptions are documented
• Dependencies are actively managed
• Work closely with Product Manager and Leads to ensure:
• Open questions are translated into RAID items
• Nothing remains as untracked discussion

Dependency Management

• Manage cross-team dependencies, including:
• Data Governance (e.g. sample data requests)
• Source system teams
• EQCR product team
• Ensure dependencies are:
• Clearly defined
• Owned
• Tracked to resolution

Scope & Change Control

• Protect the baseline scope
• Ensure:
• Scope changes are controlled and agreed
• Enhancements are captured for future phases
• Prevent uncontrolled scope expansion during delivery

Stakeholder Management

• Coordinate with:
• Data Lead
• Product Manager
• Product Owner
• Engineering teams
• External teams (EQCR, DG, etc.)
• Provide clear, structured updates to stakeholders

Delivery Governance

• Run:
• Delivery forums
• Stand-ups / syncs (where appropriate)
• Ensure:
• Alignment across squads
• Decisions are documented
• Actions are tracked

Key Deliverables

• Delivery plan and roadmap
• RAID log (actively managed)
• Fortnightly delivery updates
• Dependency tracking
• Status reporting

This is where this role becomes powerful 👇

• Ensures delivery moves forward despite uncertainty, rather than waiting for perfect conditions
• Prevents delivery from being delayed due to:
• upstream data issues
• expanding requirements
• Drives clarity:
• no open-ended discussions without outcome
• Works with Product and Tech team members to ensure:
• discussions convert into trackable delivery items (RAID / backlog)

Key Interfaces

• Data Lead → overall direction and escalation
• Data Product Manager → requirements and scope
• Senior Product Owner → backlog and sequencing
• Data Engineering → execution
• Data Governance → data access, DQ processes
• External product teams (EQCR) → consumer alignment

Experience Required

• years overall in delivery / programme management
• 5+ years’ experience delivering:
• data platforms, or
• complex technology programmes
• Experience managing:
• cross-team dependencies
• regulated environments
• Strong RAID and stakeholder management experience

What Good Looks Like in This Role

• Delivery is predictable and transparent
• Risks are known early, not discovered late
• Scope is controlled
• Teams are aligned and not working in silos

• Stakeholders feel: “We know what’s happening and when”

Important Dynamic

This role should:

👉 Challenge the Product Manager on:

• vague requirements
• open-ended discussions

👉 BUT NOT:

• redefine product scope
• go into product decisions

👉 And should work very closely with:

• Senior Product Owner (for execution)
• Data Lead (for escalation + direction)

Job Title: QA Data Engineer

Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)

Work type: Hybrid 

Role Description / Responsibilities

A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.

Core Responsibilities

Data Testing & Quality Assurance

• Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
• Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.

Technical & Platform Responsibilities

• Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
• Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
• Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.

ETL/ELT and Pipeline Testing

• Validate end‑to‑end ETL/ELT workflows.
• Ensure correctness of data transformations and seamless movement between data layers.
• Conduct regression testing following schema evolution, code updates, or pipeline refactoring.

Collaboration & Delivery Practices

• Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
• Provide clarity on data issues, identify root causes, and support resolution.
• Participate in refinement sessions to assess testability of new features and data logic.
• Contribute to automation frameworks, promoting continuous integration of data tests.

Automation & Scripting (Desirable)

• Develop automated test scripts using Python, PySpark, or Pandas.
• Contribute to automated test frameworks that validate transformations and data quality at scale.

Skills & Experience

Mandatory

• Proven experience testing data and analytics platforms.
• Advanced SQL and PL/SQL skills.
• Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
• Strong understanding of ETL concepts and data transformation methodologies.
• Experience validating large datasets, data pipelines, and data models.

Desirable

• Python for test automation and data manipulation.
• PySpark for distributed data testing.
• Pandas for lightweight automation and exploratory validation.
• Exposure to CI/CD, data observability tools, or version control (Git).

Skills & Qualifications:

• 5 to 8 (in India might be more like 8 to 12 years experience) years of experience in UX/UI or product design with demonstrated experience leading design initiatives and projects.

• A strong portfolio showcasing your expertise in product, UX/UI design, design research, design systems usage as well as your ability to design impactful and user-centred design solutions and your contribution to complex projects.

• Expert level proficiency in leading design tools such as Figma, and collaboration tools such as Miro as well as usability testing tools.

• Deep understanding of human-centred design principles, interaction design best practices, and usability. 

• Extensive experience working with and contributing to design systems. 

• Strong knowledge of usability and accessibility guidelines (WCAG). 

• Strong communication, collaboration and presentation skills, with proven ability to articulate design decisions and complex design concepts clearly.

• Experience working in Agile teams and ability to deliver high quality designs in a fast paced environment

Main Purpose of Job

This is a senior hands-on data engineering role supporting the delivery, maintenance, and improvement of our client's data platform and data warehouse services.
The role combines hands on development with technical oversight of distributed delivery teams. It is responsible for designing and maintaining reliable data pipelines, ETL processes, data models, APIs, and supporting AWS based services, while ensuring delivery aligns with development standards, architecture principles, and operational expectations.
The role will work across technologies including AWS S3, AWS Lambda, AWS Fargate, AWS Glue, Amazon Redshift, SQL, and Python. It will also provide day to day technical guidance and review for offshore development teams, helping ensure that work is correctly understood, appropriately designed, well implemented, tested, and suitable for long term support.

Knowledge, Skills and Experience

Essential Knowledge

• Proven experience as a Senior Data Engineer, Data Warehouse Developer, Data Engineer, or similar technical data role.
• Experience developing and maintaining data warehouse solutions and ETL processes.
• Strong understanding of data modelling, data transformation, and data quality principles.
• Experience working with cloud based data engineering services.
• Strong understanding of software engineering good practice, including maintainability, version control, testing, review, and documentation.
• Experience working in Agile delivery environments.
• Experience working with distributed, offshore, near shore, or third party development teams.
• Ability to provide technical guidance and challenge implementation decisions constructively.
• Ability to challenge proposed designs and implementations where they create risk around maintainability, performance, data quality, security, or supportability.
• Effective communication skills, with the ability to work with both technical and non technical stakeholders.
• Familiarity with Jira and Confluence for project and delivery management.

Essential Functional / Technical Skills

• Strong SQL skills, including query optimization, data transformation, modelling, reconciliation, and validation.
• Strong Python skills for data engineering, automation, ETL, or API development.
• Experience with AWS S3 for data storage and data exchange.
• Experience with AWS Glue or similar ETL tooling.
• Experience with Amazon Redshift or similar cloud data warehouse technology.
• Experience with AWS Lambda, AWS Fargate, or similar serverless/container-based services.
• Experience developing, supporting, or integrating APIs used by data platforms or downstream systems.
• Experience with data quality checks, validation, reconciliation, and production support of data pipelines.
• Familiarity with GitHub or similar version control tools.
• Understanding of CI/CD, environment management, deployment safety, and operational support.

Desirable

• Experience providing technical oversight to offshore or near shore delivery teams.
• Experience with infrastructure as code tools such as Terraform.
• Experience with Java or other backend development languages.
• Familiarity with AWS IAM, secrets management, access control, and cloud security fundamentals.
• Experience with data governance, data lineage, and data catalogue tooling.
• Experience with reporting, BI, or analytics platforms.
• Experience working in high traffic, consumer, ecommerce, media, sport, or membership-based organizations.

What we offer:

•     Dynamic and supporting international teams.
•     Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performances.
•     Hybrid or office work.
•     20-25 vacation days per year.
•     4 days of sick leave (100% paid)
•     Equipment for work, laptop and all necessary additions.
•     Access to trainings and courses.
•     Private health insurance.
•     FIT Pass card for many sports’ facilities

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.

Required skills:

• Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
• Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.                                   
• Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
• Ability to understand complex customer application ecosystems and integrate our product offerings.
• Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.

Qualifications:

• BS or MS in Electrical or Computer Engineering or related field
• 5+ years of Industrial experience in firmware development
• Strong C/C++ and Python programming skills
• Strong knowledge of digital signal processing (DSP) and algorithm development experience
• Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
• Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
• Hands on experience with integrating, building, and testing of multi-threaded applications.
• Experience with embedded real-time operating systems
• Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
• Strong analytical and problem-solving abilities
• Experience with defect tracking tools (Jira, Bugzilla, etc.)
• Strong working knowledge of a software development process (e.g., Agile, Waterfall)
• Application of Object-Oriented concepts and methodologies
• Strong system level knowledge in audio, video and TWS domains

What we offer: 

• Dynamic and supporting international teams.
• Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance. 
• Remote, hybrid or office work.
• 20-25 vacation days per year.
• Equipment for work, laptop and all necessary additions.
• Access to training and courses.
• Private health insurance.
• FIT Pass card for many sports facilities. 

Integrations (API) Engineer – Data Platform

Experience- 4-6 years

Location- Kochi, Chennai, Coimbatore, Mumbai, Pune

We are seeking an Integrations (API) Engineer to design, build, and manage APIs that expose data products from the data platform to downstream applications.

This role is responsible for ensuring that data is delivered reliably, securely, and in a way that is consumable by applications, acting as the bridge between the data platform and consuming systems.

Role Purpose

• Enable Data as a Service (DaaS) through well-designed APIs
• Ensure data products are consumable, performant, and reliable
• Act as the interface between data engineering and application teams

🔧 Key Responsibilities

API Design & Development

• Design and build APIs that expose data products
• Define:
• Endpoints
• Request/response structures
• Payload formats
• Ensure APIs align with data contracts and product definitions

Integration with Data Platform

• Partner with Data Engineers to consume curated datasets correctly and avoid duplicating transformation logic already handled upstream

• Ensure data delivered through APIs is governed, accurate, and fit for purpose

Consumer Integration Support

• Work closely with downstream teams (e.g. EQCR application team) to support onboarding, clarify API usage, and resolve integration issues

Performance & Reliability

• Meet agreed performance benchmarks and SLAs

• Own error handling, logging, and monitoring for all API surfaces

Security & Access Control

• Implement authentication, authorisation, and data access controls

• Ensure APIs comply with data security, governance, and regulatory standards

API Lifecycle Management

• Version APIs appropriately and manage change, deprecation, and backward compatibility

• Maintain clear, up-to-date documentation for all published APIs

Key Deliverables

• Production-ready APIs exposing governed data products
• API documentation covering endpoints, schemas, and usage patterns
• Integration support and onboarding for consuming applications

• Monitoring and alerting covering API performance and availability

Key Interfaces

• Data Engineers → source of curated datasets
• Data Product Manager → API requirements and use cases
• Data Consultant → data definitions, lineage, and rules
• Application Teams → API consumers
• Architecture → standards and patterns

Experience Required

• 4–8+ years in API development or integration engineering
• Strong hands-on experience with REST APIs, JSON, and data contract design
• Experience with Swagger, OpenAPI specification
• Experience of Azure API Gateway, Fast API, Azure Container Apps, Azure functions
• Proven experience integrating with data platforms or complex backend systems
• Solid understanding of API security patterns (OAuth 2.0, token-based auth, Managed Identities)

• Comfortable working across cross-functional teams in a fast-paced delivery environment

Nice to Have

• Experience in data platform environments (lakehouse, etc.)
• Experience in regulated environments
• Familiarity with event-driven architectures

Data Architect

Work Location: Kochi, Coimbatore, Chennai, Mumbai, Pune

Experience- 12-20 years

Who are we Orion is a leading digital transformation and product development services firm. Headquarters in Edison, NJ, we have a global team of 6000+ associates, with engineers in 12 major delivery centers across North America, Europe, Asia and Latin America. For over 25 years. In India, our delivery centers are based in Mumbai, Pune, Hyderabad, Chennai, Coimbatore and Kochi. Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility on a scale.

Mission: To serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, Growth: Our business has more than tripled over the last three years. We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint

Role Overview The role

You will be responsible for designing and implementing the solution architecture to ensure alignment with business goals and objectives. This role involves analysing the current technology infrastructure, identifying areas for improvement, and developing plans to enhance efficiency, scalability, and security. You will need to understand our technology strategy and collaborate with stakeholders, IT teams, and vendors, to develop comprehensive architectural solutions that support the long- term vision.

You will be required to maintain your core knowledge of wider technology trends and the technology ecosystem; build roadmaps and solutions; and govern relevant tech choices within the Firm.

Responsibilities

• Build and maintain extensive Azure, Databricks and Data architecture and solution design skills, providing SME input to projects and/or run/build
• Build and maintain all-round competence in Cloud, and relevant Application, Integration, Data and Security technologies
• Maintain a high level of technical knowledge current, emerging and future technology market trends and their impact on the business
• Develop and maintain expert knowledge of technology ecosystem, the main applications and technologies that support Audit
• If required, provide advice to and/or seek to learn from other Member Firms, client teams and/or clients that are seeking to implement or improve their use of specific technologies and/or methods
• Create and develop relevant documents – POC, reference architecture, roadmaps and other key architecture artefacts
• Create and maintain a detailed view of existing designs to help manage the transition to future state
• Identify business/project risk and mitigate or communicate as necessary
• Carry out additional duties as may occur from time to time as instructed and agreed by leadership
• Develop relationships within the business and technology functions
• Ensure that product roadmaps are aligned to the larger strategy and the Firm's Digital Strategy, and are coherent with those of other Capabilities and technology domain roadmaps
• Work with Capability CTOs, technical SMEs and specific projects to analyse and translate business requirements into technical requirements, ensuring that these are feasible

• Ensure that Solution Architects produce designs that are fit for purpose, adhere to relevant standards and patterns, leverage reusable components, and are coherent with wider tech domains

Skills and experience

• Proven expert knowledge of architecture design relating to Data
• Strong understanding of IaaS, PaaS, SaaS, Cloud hosting and integration technologies
• Business focused, with the ability to communicate and convey messages to both technical and business stakeholders
• Good knowledge of at least 2-3 other domains in Infrastructure, Networking, Security, and Integration
• Good knowledge of EA governance steps required, e.g., Info Sec approval, conceptual and solution architecture reviews, pen tests, code reviews and service acceptance criteria
• Strong experience in Enterprise and Solution Architecture roles
• A high level of general, technical knowledge current, emerging and future technology market trends and their impact on business
• Good understanding of project management concepts, Gantt charts/plans, risks, assumptions, and dependencies, etc.
• Ability to leverage networks in , g., to tap into additional expertise if required
• Good understanding of technical debt, its causes, how to measure it, and remedial actions. decommissioning
• Experience of working with project teams both onshore and/or offshore
• Comfortable working with ambiguity at the beginning of projects, with ability to provide clarity of direction despite this
• Mentor and coach junior colleagues where necessary

Desirable

• Knowledge of Databricks
• Knowledge of AWS and GCP
• Bring fresh ideas to the team and wider firm, g. new software, containerisation or automation (e.g. infra as code) of existing infrastructure and projects
• Practical understanding of GDPR and ISO 27001
• Qualified in ITIL and TOGAF (The Open Group Architecture Framework)

Education

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

What We Offer

• A competitive salary and comprehensive benefits
• The opportunity to work on challenging problems with a talented, diverse
• A dedicated budget for professional development, conferences, and
• Flexible working hours and a hybrid work
• A dynamic and innovative work environment where your technical vision will shape the future of our

www.orioninc.com

(18) Orion Innovation: Overview | LinkedIn

We’re ideally looking for someone who is comfortable across the entire stack and can take ownership of feature delivery from design to deployment. The ideal candidate should have:

• 5+ years of experience with Python and FastAPI (async programming)
• Experience with Redis caching patterns and cache invalidation strategies
• Experience with event-driven architectures (Pub/Sub, SNS/SQS, or similar message brokers)
• Familiarity with SQLAlchemy ORM and relational database patterns
• Experience writing comprehensive test suites (pytest, integration testing)
• Comfortable with REST API design and microservices communication patterns
• Experience with AI-assisted development tools (Cursor, Copilot, Claude Code)
• Experience with Git and CI/CD pipelines

Nice to Have

• Experience with Strapi CMS or similar headless CMS platforms
• Experience with both GCP and AWS cloud services
• Familiarity with i18n patterns (locale handling, translation key management)
• Experience in Java and typescript

Job Description: 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Job Overview:

We are looking for a senior technical lead to design, scale, and govern enterprise-grade data platforms across Microsoft Fabric, Databricks, and Snowflake. The role focuses on defining data architecture standards, enabling AI/GenAI-ready platforms, leading engineering teams, and delivering secure, high-performance cloud data solutions that support analytics and business outcomes.

Key Responsibilities

• Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.
• Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.
• Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.
• Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.
• Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.
• Champion data governance, security, privacy, and compliance requirements within the platform.
• Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.
• Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.
• Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.
• Serve as the primary technical point of contact for data platform projects and stakeholders.
• Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.
• 12+ years of experience in data engineering, data platform development, or cloud data architecture.
• 3+ years in a technical leadership or team management role.
• Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks:
  • Pipelines
  • Notebooks
  • Lakehouse
  • Data Warehouse
  • Semantic Models
• Strong proficiency in PySpark, distributed compute, and data transformation frameworks.
• Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.
• Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).
• Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.
• Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.
• Strong communication, stakeholder management, and technical documentation skills.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

• Strong experience creating and deploying cloud infrastructure on Azure, AWS, and GCP
• Understanding of Python and Docker for developing web APIs
• Understanding of deploying solutions to Kubernetes.
• Familiarity with serverless technologies across functions, queues, file storage, API management, and key‑value stores
• Experience with integration patterns and working with various APIs
• Knowledge of DevOps principles and Git, preferably with experience in modern techniques such as monorepos
• Proficiency in Infrastructure‑as‑Code languages such as Terraform and CloudFormation
• Understanding of design patterns for building scalable and efficient systems
• A quality‑driven, test‑first mindset
• Excellent written and verbal communication skills
• Familiarity with Diagrams‑as‑Code for documenting infrastructure architecture is a plus
• Understanding of modern authentication protocols such as OAuth2 and OIDC
• Consideration of cross‑cutting concerns like observability and security in infrastructure design
• Contributions to open‑source projects are a plus

Azure Developer (3–7 Years Experience)

Location: Chennai (Preferred)

Role Overview

We are seeking an Azure Developer with strong hands-on development experience and a solid understanding of modern software design principles. The ideal candidate will work closely with architects, clients, and development teams to build scalable, secure, and high-performing cloud-based solutions.

Key Responsibilities

• Design, develop, and support enterprise-level integration solutions using Azure technologies.
• Build and maintain .NET-based web applications and RESTful APIs.
• Contribute to technical design and solution architecture discussions.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in requirement discussions, development planning, and progress reviews.
• Follow best practices for coding standards, security, performance, and scalability.
• Support application deployment, troubleshooting, and enhancements.

Required Skills & Experience

• 3–7 years of overall IT experience, with strong focus on application development.
• 3+ years of hands-on experience with Azure technologies such as:
  • Azure Logic Apps
  • Azure Service Bus
  • Azure Web Apps / API Apps
• Experience with BizTalk is a plus.
• Strong experience in .NET development (C#, ASP.NET, Web APIs, REST services).
• Good understanding of enterprise design patterns such as MVC, SOLID, Microservices, and basic CQRS concepts.
• 2–4 years of experience with SQL Server; exposure to NoSQL databases is an advantage.
• Working knowledge of UI frameworks like Angular or React is desirable.
• Awareness of OWASP security standards and secure coding practices.

Nice to Have

• Experience with Unit Testing / TDD.
• Exposure to Azure DevOps, CI/CD pipelines.
• Basic knowledge of HL7/FHIR or healthcare integrations is a plus.

Soft Skills

• Strong analytical and problem-solving skills.
• Quick learner with a passion for new technologies.
• Self-driven, proactive, and dependable.
• Good communication skills with the ability to interact with clients and stakeholders.
• Team player comfortable working in collaborative environments.

Job Overview:

We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment.

Key Responsibilities

• Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition).
• Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing.
• Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors.
• Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible.
• Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization.
• Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing.
• Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement.
• Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow).
• Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps.

Required Qualifications

• 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production.
• Strong programming skills in Python (required) and/or TypeScript/Node.js.
• Hands-on experience building agents (tool calling, planning, routing, multi-step workflows) beyond simple chatbots.
• Solid understanding of prompting, context window management, grounding, hallucination failure modes, and mitigation strategies.
• Experience with RAG: embeddings, vector databases, chunking strategies, hybrid retrieval, re-ranking.
• Proven ability to ship production services: Docker/Kubernetes, REST/gRPC, CI/CD, monitoring, incident response basics.
• Strong data/security instincts: secrets management, PII handling, secure tool access, least privilege

Job Overview:

We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations.

Experience: 10+ years

Key Responsibilities:

• Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.).
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Establish governance, cost optimization, and security best practices for Azure applications.
• Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC).
• Provide technical leadership, mentoring, and guidance to development teams.      
• Define and implement best practices architecture design, deployment, and operations.
• Design highly available, scalable, and cost-effective cloud solutions meeting business requirements.
• Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals.
• Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges.
• Build capabilities, offerings, service accelerators and differentiators.
• Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges.
• Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals.
• Responsible for delivering solutions architecture for major clients.
• Client Relationship Management (both pre-sales, Solution & post-sales)
• Be client CIO/CTO's trusted advisor.
• Deliver superior value and conduct project reviews.
• Enable teams to deliver better value in projects.
• Coaching, Mentoring and Provide team a clear direction.

Should be hands on:

• Create and maintain architectural documentation, reports, and presentations for stakeholders.
• Define solution blueprints and oversee application modernization and migration to Azure.
• Pre-sales / post-sales (play an active role in winning business)
• Build and grow relationships with cloud and alliance partners to expand our relationship, offerings, and revenues.
• Build relationships with key client decision makers and influences in partnership with sales and marketing.

Key Skills:

• Expertise in designing high-level, enterprise grade solution architecture
• At least 10+ years of relevant experience as an Azure Cloud App Architect
• Ability to manage estimates, tasks, escalations, risks/issues
• Ability to clearly articulate concepts to people with varying technical background
• Azure Certified Solution Architect - Az 303/304/305.

Job Overview:

We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms using Microsoft Fabric, Databricks (and/or Snowflake). The role focuses on designing reliable data pipelines, lakehouse and warehouse models, and semantic layers that enable enterprise analytics, BI, and AI/Gen AI use cases.

You will work closely with analytics, BI, and data science teams to deliver high-quality, performant, and governed data solutions, while driving best practices in data engineering, optimization, and platform design.

Key Responsibilities

• Design, build, and maintain end-to-end data solutions on Microsoft Fabric, Databricks, including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Implement scalable data ingestion, transformation, and loading (ETL/ELT) using Fabric Pipelines and PySpark.
• Develop robust data models and schemas optimized for analytics, reporting, and AI-driven consumption.
• Create and maintain semantic models to support Power BI and enterprise BI solutions.
• Engineer high-performance data solutions that meet requirements for throughput, scalability, quality, and security.
• Author efficient PySpark and SQL code for large-scale data transformation, data quality management, and business rule processing.
• Build reusable framework components for metadata-driven pipelines and automation.
• Optimize Lakehouse and Data Warehouse performance, including partitioning, indexing, Delta optimization, and compute tuning.
• Develop and maintain stored procedures and advanced SQL logic for operational workloads.
• Design and prepare feature-ready datasets for AI and GenAI applications.
• Collaborate with data scientists and ML engineers to productionize AI pipelines.
• Implement data governance and metadata practices required for responsible AI.
• Leverage Fabric, Databricks capabilities to orchestrate and monitor AI-related data workflows.
• Apply data governance, privacy, and security standards across all engineered assets.
• Implement monitoring, alerting, and observability best practices for pipelines and compute workloads.
• Drive data quality initiatives, including validation frameworks, profiling, and anomaly detection.
• Partner with analytics, BI, data science, and product teams to understand requirements and translate them into technical solutions.
• Mentor junior engineers and contribute to engineering standards and patterns.
• Participate in architecture reviews, technical design sessions, and roadmap planning.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Required Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 7+ years of professional experience in data engineering or a related discipline.
• Mandatory hands-on expertise with Microsoft Fabric, Databricks or Snowflake including:
  • Pipelines
  • Notebooks
  • Lakehouse
  •  Data Warehouse
  • Semantic Models
• Advanced proficiency in PySpark for distributed data processing.
• Strong command of SQL for analytical and operational workloads.
• Experience developing and optimizing stored procedures and complex SQL transformations.
• Understanding of GenAI architectures, vectorization, embedding pipelines, and data preparation for LLM use cases.
• Strong knowledge of data modeling, ETL/ELT patterns, and modern data lakehouse principles.
• Experience designing and optimizing large-scale data pipelines in cloud environments (Azure preferred).
• Excellent problem-solving skills with the ability to analyze complex data workflows.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Job Overview:

We are seeking a seasoned AI Developer to lead the design and implementation of next-generation Agentic AI solutions. You won't just be building chatbots; you will be architecting autonomous systems where multiple specialized AI agents collaborate to solve complex, long-horizon business problems. You will leverage a multi-cloud strategy to deploy scalable, resilient, and "reasoning-heavy" AI workflows.

 Key Responsibilities

• Agentic Architecture: Design and develop autonomous agents capable of independent planning, tool-use (function calling), context & prompt engineering, and self-correction.
• Multi-Agent Orchestration: Implement LangGraph to manage task delegation, conflict resolution, and collaborative reasoning between specialized agents.
• Advanced RAG & Memory: Build sophisticated Retrieval-Augmented Generation (RAG) pipelines with episodic and semantic memory to ensure agents maintain context over long interactions.
• Cloud-Native Deployment: Architect and deploy AI services across AWS (Bedrock/SageMaker), Azure (OpenAI Service/Foundry), ensuring high availability and cost optimization.
• Guardrails & Ethics: Implement rigorous evaluation frameworks (e.g., Ragas, TruLens) and safety guardrails to prevent hallucinations and ensure responsible agent behavior.
• Performance Tuning: Optimize LLM latency and throughput using techniques like prompt caching, quantization, and specialized model routing.
• Prompt engineering & Context engineering.

Key Skills:

• Core AI: 4+ years of professional experience in AI/ML, with at least 1.5+ years focused specifically on Generative AI and LLM orchestration.
• Agent Frameworks: Hands-on expertise with LangGraph. Proven ability to build "loops" and "state machines" rather than just linear chains.
• Programming: Mastery of Python (Asyncio, Pydantic, FastAPI). Experience with TypeScript/Node.js is a significant plus.
• Cloud Infrastructure:
• AWS: Bedrock, Lambda, Step Functions, S3.
• Azure: Azure OpenAI, AI Search, CosmosDB, PostgreSQL.
• Data & Memory: Proficiency with Vector Databases like Pinecone, Weaviate, Milvus, or pgvector. Understanding of graph databases (Neo4j) for knowledge-graph-enhanced RAG.
• DevOps/AIOps: Experience with Docker, Kubernetes, and CI/CD pipelines specifically for AI (LLMOps).

 Preferred Qualifications

• Contributions to open-source AI frameworks or research publications in MAS.
• Experience with Model Context Protocol (MCP) or Agent-to-Agent (A2A) communication standards.
• Familiarity with fine-tuning techniques (LoRA, QLoRA) for specialized agent tasks.