11+ MIDI Jobs in India

Staff Engineer, Digital Audio Specialist

Location: Remote

Employment Type: Full-time

Experience: 5.5-7 years

Job description

REQUIREMENTS:

• Strong experience in Digital Audio Engineering, Audio Technology Platforms, and Media Infrastructure
• Deep hands-on expertise in Digital Audio Processing, Encoding, Streaming, and Audio Delivery Technologies (Must Have)
• Strong experience with Audio Content Management Systems and Digital Media Workflows (Must Have)
• Hands-on experience with audio editing, mixing, mastering, and broadcast technologies
• Strong understanding of audio codecs, compression standards, and streaming protocols (Must Have)
• Experience with cloud-based media platforms and audio content distribution networks
• Strong experience with automation and workflow optimization in digital media environments
• Experience managing large-scale audio content libraries and metadata systems
• Hands-on experience with Digital Asset Management (DAM) platforms
• Strong understanding of audio quality assurance, testing, and troubleshooting
• Experience integrating audio platforms with third-party applications and APIs
• Knowledge of podcasting, internet radio, OTT audio, and streaming ecosystems
• Experience with monitoring, analytics, and performance optimization of audio platforms
• Strong understanding of security, compliance, and content rights management
• Experience working in Agile/Scrum environments
• Strong troubleshooting, analytical, and problem-solving skills
• Excellent communication and stakeholder management skills

RESPONSIBILITIES:

• Design, implement, and manage digital audio platforms and content delivery systems
• Support audio processing, encoding, streaming, and distribution workflows
• Manage audio content lifecycle including ingestion, storage, metadata, and publishing
• Ensure high-quality audio delivery across web, mobile, and streaming platforms
• Develop and maintain automation solutions for audio operations and media workflows
• Troubleshoot audio quality issues, streaming failures, and platform performance problems
• Collaborate with content, engineering, and product teams to deliver audio solutions
• Manage integrations between audio platforms, content management systems, and third-party services
• Monitor platform health, streaming performance, and user experience metrics
• Implement best practices for audio quality, scalability, reliability, and security
• Support digital broadcasting, podcasting, and on-demand audio initiatives
• Perform root cause analysis and resolution for production incidents
• Define standards, processes, and governance for audio platform operations
• Optimize infrastructure and workflows to improve operational efficiency
• Mentor junior engineers and provide technical leadership on digital audio initiatives
• Participate in Agile ceremonies and continuous improvement programs
• Work closely with stakeholders to understand business requirements and deliver optimal solutions
• Ensure compliance with content rights, licensing, and regulatory requirements

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields

Skill Set:

1) Hands-on experience using design and calculation software

2) Deep knowledge of electrical manufacturing processes

3) Understanding of electrical engineering codes and safety standards

4) Problem-solving abilities

5) Understanding on the RADAR Systems 

6) Familiarity DGAQA and CEMILAC processes

7) Develop manufacturing processes according to FAA/EASA/DGAQA/CEMILAC engineering codes and standard

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

𝐒𝐞𝐧𝐢𝐨𝐫 𝐒𝐭𝐚𝐟𝐟 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 – Android Automotive (AAOS)

𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 4–10 𝐘𝐞𝐚𝐫𝐬

Mandatory skills: Android Automotive OS (AAOS/AOSP), Android Application Framework, System Services, Binder IPC (AIDL/HIDL), Java, C++, Automotive Infotainment, CAN/Ethernet, ASPICE (preferred)

𝐎𝐓𝐀 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫

𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 5–10 𝐘𝐞𝐚𝐫𝐬

Mandatory skills: Automotive OTA Framework, C/C++, Embedded Linux, Uptane, FOTA/SOTA, A/B partitioning, Bootloader interaction, Secure OTA (PKI, SSL/TLS), CAN, UDS, DoIP

𝐓𝐞𝐥𝐞𝐦𝐚𝐭𝐢𝐜𝐬 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫

𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 5–10 𝐘𝐞𝐚𝐫𝐬

Mandatory skills: Telematics/Connected Vehicle platforms, Embedded Linux, C++, 4G/5G, Wi-Fi, Bluetooth, GNSS, Vehicle Data, MQTT, HTTP/HTTPS, LwM2M, CAN, Ethernet, UDS.

This is a full-time on-site role for a Project Architect. The Project Architect will be responsible for managing projects.The Project Architect will contribute to the design and development of architectural projects, collaborate with internal teams and external stakeholders, and ensure projects are executed efficiently and effectively.

• QualificationsStrong background in Architecture and Project Management
• Excellent organizational and leadership skills
• Ability to effectively communicate and collaborate with multidisciplinary teams
• In-depth knowledge of construction and building codes
• Detail-oriented with a strong focus on quality and accuracy
• Experience in the interior design industry is a plus
• Bachelor's or Master's degree in Architecture or related field

Skills:

·      Strong knowledge of the Go programming language, including its paradigms, constructs, and idioms.

·      Familiarity with common Goroutine and channel patterns.

·      Experience with a wide range of Go frameworks and tools, including:

·      Knowledge of dependency management tools such as Godep, Sltr, etc., is a plus.

·      Familiarity with Go's templating language.

·      Experience with Go's code generation tools, such as Stringer, is beneficial.

·      Understanding of popular Go web frameworks like Gin.

·      Familiarity with router packages like Gorilla Mux is advantageous.

• Understand platform requirements & coordinate with the development agency for smooth development of our platform
• Make incremental design or developmental changes on the platform on a regular basis
• Ideate & develop new features on our platform
• Conduct regular testing of website performance & fixing bugs (either through agency or by self, whatever applicable)
• Work with UI/UX designer to implement design systems & user experiences

• Proven experience of 2-3 years as a full-stack developer or similar roles
• Experience in developing scalable desktop and mobile applications
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Hands on experience with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache)

• You are self-driven, scrappy and entrepreneurial
• You enjoy challenges and are excited to find simple solutions to complex problems
• You put users first
• You're a forever learner
• You want to work in a fast paced (read:messy) startup environment
• You're usually more aware of the hidden hacks & tools of a phone or a computer than most other people
• You like challenges & don't get bogged down by failure easily
• You are firm believer of the quote "if you're not a part of the solution, you're part of the problem"

1.Strong skills and experience in (Java,  Javascript/Typescript, Go, Design Patterns, etc.).

2.Experience with Node.JS or Spring boot preferred.

3.Experience with relational and NoSQL databases.

4.Proficient in API and microservices architecture.

5.API documentation / specification tools (e.g. Swagger).

6.Unit-testing code for robustness, including edge cases, usability, and general reliability with API testing frameworks / testing documentation (e.g. K6, JMeter, SoapUI, Postman,etc.).

7.Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.

8.Execution of software delivery. You are skilled at cloud architecture, testing, monitoring, alerting and are excited to apply these principles within the team.."

• Cloud: GCP
• Must have: BigQuery, Python, Vertex AI
• Nice to have Services: Data Plex
• Exp level: 5-10 years.
• Preferred Industry (nice to have): Manufacturing – B2B sales