Full Stack Engineer

Successive Digital; Dadri; On-site; INR 167,400 - 279,000; Full time

Job summary

Successive Digital is seeking a Full Stack Lead Engineer in Dadri, Uttar Pradesh. The role involves technical leadership in developing scalable software solutions, leveraging AI tools for enhanced productivity, and engaging with clients to meet their business needs. Candidates should possess strong expertise in various tech stacks like .NET, Java, and Python, alongside cloud platforms and AI-assisted development. This is an opportunity for technology leaders who thrive in complex environments.

Qualifications

• Strong experience in at least one primary stack: .NET, Java, Node.js, Python, or MERN.
• Hands-on experience with cloud platforms like AWS, Azure, or GCP.
• Practical experience using AI tools for coding and debugging.

Responsibilities

• Lead design and development of scalable software solutions.
• Ensure adherence to engineering best practices and quality benchmarks.
• Collaborate with clients to understand requirements and lead solutions.

Skills

.NET / Java / Node.js / Python / MERN

Database systems (SQL/NoSQL)

Cloud platforms (AWS, Azure, GCP)

AI-assisted coding and debugging

DevOps practices (CI/CD, containerization)

Strong communication skills

Stakeholder management

Job description

We are seeking a Full Stack Lead Engineer who brings a strong foundation in software engineering combined with AI-enabled development practices. This role is ideal for a technology leader who has evolved across backend, frontend, cloud, and DevOps ecosystems, and is comfortable operating in complex, multi-technology environments involving both modern and legacy systems.

You will play a dual role — acting as a hands‑on technical leader and a client‑facing solution partner, driving end‑to‑end engineering excellence across product development initiatives.

Key Responsibilities

1. Technical Leadership & Delivery

• Lead end‑to‑end design and development of scalable, high‑quality software solutions
• Work across full‑stack layers: Backend, Frontend, APIs, integrations, and data systems
• Own and drive software release cycles including planning, development, testing, and deployment
• Ensure adherence to engineering best practices, coding standards, and quality benchmarks
• Conduct thorough code reviews (PR reviews) and enforce clean, maintainable architecture

2. AI-Augmented Engineering

• Leverage AI tools such as GitHub Copilot, Claude Code, Cursor, Codex, and similar platforms for:
• Code generation and acceleration
• Debugging and root cause analysis
• Automated code reviews and quality checks
• Drive adoption of AI‑assisted development practices across teams
• Ensure responsible and efficient use of AI tools in engineering workflows

3. Solutioning & Architecture

• Collaborate with clients and internal stakeholders to understand business requirements
• Lead technical solutioning, system design, and architecture decisions
• Work across diverse technology stacks (e.g., .NET, Java, Node.js, Python, MERN)
• Design systems that integrate across cloud platforms, third‑party services, and legacy systems
• Lead and mentor a team of engineers across different technology stacks
• Provide technical guidance, resolve blockers, and ensure delivery excellence
• Establish and enforce development governance frameworks
• Drive continuous improvement in engineering practices, productivity, and quality
• Oversee CI/CD pipelines, release management, and deployment strategies
• Ensure system scalability, performance, and reliability on cloud platforms (AWS, Azure, or GCP)
• Work closely with DevOps teams to implement automation, monitoring, and observability

6. Client Engagement & Communication

• Act as a technical point of contact for clients
• Drive technical discussions, provide recommendations, and build client trust
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders
• Contribute to pre‑sales, estimations, and proposal solutioning

Required Skills & Experience

Core Engineering Expertise

• Strong experience in at least one primary stack: .NET / Java / Node.js / Python / MERN
• Database systems (SQL/NoSQL)

Full Stack & Platform Exposure

• Hands‑on experience with cloud platforms (AWS, Azure, or GCP)
• Exposure to DevOps practices (CI/CD, containerization, infrastructure as code)
• Experience working in multi‑stack, distributed system environments

AI-Enabled Development

• Practical experience using AI tools like:
• Strong understanding of AI‑assisted coding, debugging, and review workflows
• Ability to integrate AI into engineering productivity and quality processes

Leadership & Client Skills

• Proven experience in leading engineering teams
• Strong communication and stakeholder management skills
• Experience in client‑facing roles, including solutioning and technical discussions
• Ability to balance hands‑on coding with leadership responsibilities

What We Are Looking For

• Engineers who have grown beyond a single technology stack
• Individuals who embrace continuous learning and cross‑functional expertise
• Leaders who can drive engineering excellence while staying hands‑on
• Professionals who are comfortable working in fast‑paced, evolving technology landscapes

Success Metrics

• Delivery of high‑quality, scalable solutions
• Effective adoption of AI‑augmented engineering practices
• Strong client satisfaction and engagement outcomes
• Improved team productivity and engineering quality benchmarks