Architect and deliver cloud-native, self‑service platform capabilities across Azure; partner with engineering leadership to align the Data Platform roadmap with business strategy, cost targets, and the 3 deployment profiles (non‑prod/prod × azure plus local).
Responsibilities
Architect and deliver cloud‑native, self‑service platform capabilities across Azure
Automate infrastructure with IaC (OpenTofu for Day‑0, Crossplane v2 for Day‑1+) and lead CI/CD pipelines (GitHub Actions) with progressive delivery via Argo Rollouts
Operate and scale Kubernetes fleets on AKS (Azure) with Cilium, Istio ambient mesh, and Kong
Own observability end‑to‑end with OpenTelemetry, Prometheus, Grafana, implement FinOps‑grade cost attribution, right‑sizing automation, and platform‑wide SLOs
Lead incident response and deep‑dive troubleshooting to minimize downtime
Own and maintain product and feature roadmap, prioritize features, review pull requests, manage test cycle, coordinate releases, and ensure quality delivery.
Compensation
CTC Range - 13 - 15L
Responsibilities
Own and maintain the product and feature roadmap; turn business needs into clear specs and user stories.
Prioritise features and manage the backlog with stakeholders.
Review pull requests for standards and compliance — tests present, conventions followed, tickets linked — and route issues back to developers.
Plan and manage the test cycle — test plans, regression, and UAT.
Coordinate and own go-lives and releases, including checklists and rollback readiness.
Own and define the quality and verification strategy across embedded software, app, IoT, and cloud platforms while building high-performing Test & QA teams.
Compensation
Dyson monitors the market to ensure competitive salaries and bonuses.
Responsibilities
Own and define the quality and verification strategy across embedded software, app, IoT, and cloud platforms.
Build and develop high-performing Test & QA teams, coach Test&QA Leads and Managers.
Provide technical direction for system, integration, protocol, connectivity, security, and compliance testing.
Drive innovation in HIL automation, simulation, data-driven testing, and AI-enabled test methods.
Represent Test & QA in program governance, influencing release decisions with strong quality evidence.
Design and implement in-house tools to automate data labelling pipelines, reducing reliance on manual annotation using Active Learning, Weak Supervision, and Synthetic Data Generation.
Responsibilities
Architect Labelling Pipelines: Design and deploy end-to-end automated labelling systems using frameworks like Snorkel, Cleanlab, or custom active learning loops.
Develop 'Human-in-the-Loop' (HITL) Systems: Build interfaces and workflows where models pre-label data and humans only intervene on high-uncertainty samples.
Quality Assurance & Denoising: Implement algorithmic checks to identify and correct mislabelled or 'noisy' data within existing datasets.
Tooling & Integration: Collaborate with software engineers to integrate labelling tools with our existing data lakes and ML training infrastructure.
Model Optimization: Fine-tune 'teacher' models to generate high-quality pseudo-labels for 'student' models.
Seeking a Senior Software Engineer to design, develop, and maintain RESTful APIs, microservices, and scalable full-stack applications using Java, Spring Boot, and AWS.
Locations (3)
Gurugram, Haryana, India
Hyderabad, Telangana, India
Bangalore, Karnataka, India
Responsibilities
Design, develop, and maintain robust RESTful APIs and microservices.
Build scalable full-stack applications using Java (Spring Boot) and modern front-end frameworks (e.g., Angular, React).
Develop backend components and automation scripts using Python.
Architect and deploy cloud-native applications on AWS, leveraging services like EC2, Lambda, S3, RDS, API Gateway, and CloudFormation.
Collaborate with cross-functional teams to gather requirements and deliver high-quality software solutions.
This role builds and extends a greenfield data and AI platform supporting federal background investigation work in a high-trust environment (FedRAMP Moderate, NIST 800-171, and CUI).
Compensation
$112,000 - $179,000
Responsibilities
Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed data products
Develop and maintain the pipelines, transformations, and data products that move the platform forward
Work alongside the platform's lead engineer
Extend the platform using infrastructure-as-code patterns
Collaborate across technical and non-technical teams
Lead Supplier Quality Engineer responsible for industrialization, qualification, and yield ramping of electromagnetics and power electronics hardware in Malaysia, collaborating with global teams and suppliers.
Responsibilities
Drive end-to-end component development and mass production readiness
Lead DFM and DFA reviews with suppliers
Manage PPAP and APQP frameworks
Oversee component modifications and ECOs
Serve as first-responder for supplier technical deviations
Requirements
Bachelor’s or Master’s Degree in Electrical, Mechanical, Mechatronics, Materials Science, or Manufacturing Engineering
Nice to have: Automotive (EV/PHEV/Tier-1) experience
Nice to have: High-reliability industrial power electronics
Nice to have: Aerospace
Nice to have: Advanced semiconductor equipment manufacturing
Senior Software Development Engineer in Test (SDET) to build and scale test automation infrastructure for CrowdStrike’s Endpoint Protection Cloud team.
Compensation
The base salary range for this position for all U.S. candidates is $120,000 - $185,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
Responsibilities
Design and implement scalable test automation frameworks for complex distributed systems involving cloud services and endpoint agent software.
Develop comprehensive test strategies for security-critical features, focusing on reliability, accuracy, and performance at scale.
Review engineering technical designs with a focus on testability, security implications, and potential edge cases.
Create and maintain cloud-based test infrastructure that simulates real-world deployment scenarios.
Build tools and frameworks for testing complex agent-cloud interactions, data processing pipelines, and API integrations.
Design, deploy and maintain network infrastructure across vessels and industrial operations, ensuring reliability, performance and security of OT systems.
Responsibilities
Design, deploy and maintain network infrastructure across vessels and industrial operations, including routing, switching, VLANs and firewalls.
Troubleshoot connectivity issues and resolve networking challenges that impact operational systems and critical equipment.
Strengthen industrial cybersecurity by performing risk assessments, implementing hardening techniques, managing secure remote access and monitoring for vulnerabilities.
Support and optimize communication between OT/industrial systems (PLC, SCADA, DCS, Modbus, Ethernet/IP, OPC UA/DA).
Use scripting (Python, PowerShell, Bash…) to streamline network configurations, monitoring and maintenance tasks.
Requirements
Master’s degree in IT, ICT, Industrial Automation, Electronics, Electromechanics, or other relevant field.