Sr Automation Test Engineer

🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀

📍 Location: Pune (Hybrid)

💼 Experience: 5+ Years

🕒 Mode of Work: Hybrid

Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.

🔹 Key Skills Required:

✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)

✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines

✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes

✅ Incident Management: Quick issue resolution and RCA

✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging

✅ Programming: Proficiency in Python, Golang

✅ Performance Optimization: Identifying and resolving system bottlenecks

Job Description – Production Line IN charge

Qualification

• Diploma in Electrical / Electronics / Mechanical

Experience

• 1–3 years experience in the Wiring Harness Industry
• Knowledge of LVDS and high-speed cables

Gender

• Male

Key Responsibilities

🔧 Production & Wiring Harness Operations

• Supervise day-to-day wiring harness production activities
• Ensure correct LVDS cable construction as per drawings and standards
• Monitor crimping processes and ensure crimp quality
• Perform and supervise continuity testing & Hi-Pot testing
• Read and interpret wiring diagrams, schematics, and work instructions
• Ensure proper harness routing and connector assembly standards

🏭 Process & Machine Handling

• Operate and monitor crimping machines (semi-auto/manual)
• Handle cutting & stripping machines efficiently
• Operate taping machines
• Perform basic soldering operations when required
• Use crimp height micrometer and pull tester for quality checks

👥 Team Leadership & Supervision

• Lead and supervise a team of 20–30 operators/technicians
• Manage shift-wise manpower planning and task allocation
• Conduct daily production briefings and ensure smooth workflow
• Monitor productivity, quality, and discipline on the shop floor
• Handle team issues and conflicts professionally

We're seeking an experienced Engineer to join our engineering team, handling massive-scale data processing and analytics infrastructure that supports over 1B daily events, 3M+ DAU, and 50k+ hours of content. The ideal candidate will bridge the gap between raw data collection and actionable insights, while supporting our ML initiatives.

Key Responsibilities

• Lead and scale the Infrastructure Pod, setting technical direction for data, platform, and DevOps initiatives.
• Architect and evolve our cloud infrastructure to support 1B+ daily events — ensuring reliability, scalability, and cost efficiency.
• Collaborate with Data Engineering and ML pods to build high-performance pipelines and real-time analytics systems.
• Define and implement SLOs, observability standards, and best practices for uptime, latency, and data reliability.
• Mentor and grow engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Partner with leadership on long-term architecture and scaling strategy — from infrastructure cost optimization to multi-region availability.
• Lead initiatives on infrastructure automation, deployment pipelines, and platform abstractions to improve developer velocity.
• Own security, compliance, and governance across infrastructure and data systems.

Who You Are

• Previously a Tech Co-founder / Founding Engineer / First Infra Hire who scaled a product from early MVP to significant user or data scale.
• 5–12 years of total experience, with at least 2+ years in leadership or team-building roles.
• Deep experience with cloud infrastructure (AWS/GCP), 
• Experience with containers (Docker, Kubernetes), and IaC tools (Terraform, Pulumi, or CDK).
• Hands-on expertise in data-intensive systems, streaming (Kafka, RabbitMQ, Spark Streaming), and distributed architecture design.
• Proven experience building scalable CI/CD pipelines, observability stacks (Prometheus, Grafana, ELK), and infrastructure for data and ML workloads.
• Comfortable being hands-on when needed — reviewing design docs, debugging issues, or optimizing infrastructure.
• Strong system design and problem-solving skills; understands trade-offs between speed, cost, and scalability.
• Passionate about building teams, not just systems — can recruit, mentor, and inspire engineers.

Preferred Skills

• Experience managing infra-heavy or data-focused teams.
• Familiarity with real-time streaming architectures.
• Exposure to ML infrastructure, data governance, or feature stores.
• Prior experience in the OTT / streaming / consumer platform domain is a plus.
• Contributions to open-source infra/data tools or strong engineering community presence.

What We Offer

• Opportunity to build and scale infrastructure from the ground up, with full ownership and autonomy.
• High-impact leadership role shaping our data and platform backbone.
• Competitive compensation + ESOPs.
• Continuous learning budget and certification support.
• A team that values velocity, clarity, and craftsmanship.

Success Metrics

• Reduction in infra cost per active user and event processed.
• Increase in developer velocity (faster pipeline deployments, reduced MTTR).
• High system availability and data reliability SLAs met.
• Successful rollout of infra automation and observability frameworks.
• Team growth, retention, and technical quality.

Brief:

We are pursuing a complex set of problems that involve building for an international audience and for an industry that has largely been service-centric. As an SDE at GradRight, you’ll bring an unmatched customer-centricity to your work, with a focus on building for the long term and large scale.

You’ll contribute to frameworks that enable flexible/scalable customer journeys and tying them with institutional knowledge to help us build the best experiences for students and our partners.

Responsibilities:

1. Contribute to design discussions and decisions around building scalable and modular architecture
2. Build clean, modular and scalable backend services
3. Participate in sprint ceremonies and actively contribute to scaling the engineering organization from a process perspective
4. Stay on top of the software engineering ecosystem and propose new technologies/methodologies that can be adopted
5. Contribute to engineering hiring by conducting interviews
6. Champion infrastructure as code mindset and encourage automation
7. Manage and mentor a small team of junior engineers

Requirements:

1. At least 4 years experience as an SDE, building large scale services
2. Extensive experience in at least one programming language and ability to write maintainable, scalable and unit-testable code
3. Strong understanding of software design principles and patterns
4. Excellent command over data structures and algorithms
5. Passion for solving complex problems
6. Good understanding of various database technologies with strong opinions around their use cases
7. Experience with performance monitoring and scaling backend services
8. Experience with microservices and distributed systems in general
9. Experience with team management
10. Excellent written and verbal communication skills

Good to have:

1. Experience working with node.js, MongoDB and Google Cloud
2. Experience in CI/CD and cloud infrastructure management
3. Worked on products that addressed an international audience
4. Worked on products that scaled to millions of users

What you need to have:

• Strong passion for Sales with an Analytical & Entrepreneurial mindset
• Outstanding interpersonal as well as Written & Verbal communication skills alongside research capabilities
• Appetite to learn new skills and tools required for the job
• Ability to communicate, present, and influence all levels of the organization, including executive and C-level
• Ability to work comfortably across a disparate set of global cultures
• Should be comfortable to work in US time zone.