Lead Software Developer-Python at UKG · Noida · 4 - 8 years · ₹15L - ₹25L / yr (ESOP available) · Profitable · Posted 17 Jul 2024
Python
Django
FlaskUKG is looking to hire a Lead Software Engineer to join our extremely talented Data Science team. As a Lead Software Engineer at UKG, you’ll be embedded on the Data Science team where you can work on the next generation AI Platform. You’ll get to work directly with other Engineers, Software Testers, Business Analysts, Product Managers, and Directors, all of whom make up the team. In this highly collaborative environment, you will have the opportunity to grow as a software engineer, and even help mentor others.
This position requires excellent object-oriented programming skills and knowledge of design patterns. They will be involved in the deployment of our AI Platform/Services solution on the cloud. The job requires you to be able to design, develop, troubleshoot, and debug complex software applications at the enterprise level. We are looking for a software engineer who is passionate about programming and truly enjoys what they do. The ideal candidate for the Python Engineer position is someone who has a can-do attitude and is an innovative thinker.
UKG works in an agile environment where there are daily stand-ups, code reviews, and constant communication within each self-managed cross-functional team. The ability to communicate effectively with Business Analysts and Software Testers, as well as work closely with other team members are key components for success in this position.
Primary Responsibilities:
- Collaborate with members of the team to solve challenging engineering tasks on time and with high quality.
- Engage in code reviews and training of team members.
- Support continuous deployment pipeline code.
- Situationally troubleshoot production issues alongside the support team.
- Continually research and recommend product improvements.
- Create and integrate features for our enterprise software solution using the latest Python technologies.
- Write web services, business objects, and other middle-tier framework using Python
- Actively communicate with team members to clarify requirements and overcome obstacles to meet the team goals.
- Leverage open-source and other technologies and languages outside of the Python platform.
- Develop cutting-edge solutions to maximize the performance, scalability, and distributed processing capabilities of the system.
- Provide troubleshooting and root cause analysis for production issues that are escalated to the engineering team.
- Work with development teams in an agile context as it relates to software development, including Kanban, automated unit testing, test fixtures, and pair programming.
Qualifications
- 5-8 years experience as a Python developer on enterprise projects using Python, Flask, FastAPI, Django, PyTest, Celery and other Python frameworks.
- Software development experience including: object-oriented programming, concurrency programming, modern design patterns, RESTful service implementation, micro-service architecture, test-driven development, and acceptance testing.
- Familiarity with tools used to automate the deployment of an enterprise software solution to the cloud, Terraform, GitHub Actions, Concourse, Ansible, etc.
- Proficiency with Git as a version control system
- Experience with Docker and Kubernetes
- Experience with relational SQL and NoSQL databases, including MongoDB and MSSQL.
- Experience with object-oriented languages: Python, Java, Scala, C#, etc.
- Experience with testing tools such as PyTest, Wiremock, xUnit, mocking frameworks, etc.
- Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI
- Excellent problem solving and communication skills.
Shubham Vishwakarma
Full Stack Developer - Averlon
About UKG
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.NETAbout the role
You'll join a growing engineering team as a Lead Engineer / Architect, leading a small team in India and working closely with engineering teams in the US and Mexico. You'll be responsible for driving technical execution, solving complex engineering problems, and leading a team to build, deliver, and maintain reliable software.
This is a hands-on leadership role for someone with strong backend engineering expertise who can also contribute across the stack when needed.
Location: Hyderabad
Work Mode: Hybrid
What you'll do
- Lead a small engineering team in India, driving day-to-day technical execution and delivery
- Work closely with teams in the US and Mexico to plan, develop, and deliver software
- Design and build robust, scalable backend systems using .NET
- Own technical decisions around architecture, implementation, and engineering best practices
- Contribute across the full stack when needed.
- Break down complex technical problems and drive them through to implementation and delivery
- Mentor engineers and help maintain a high standard of engineering quality
- Collaborate with distributed teams and communicate technical decisions clearly
What we're looking for
- 8+ years of software engineering experience, with experience in a lead-level role
- 2+ years of experience leading a team
- Strong, hands-on expertise in .NET and backend engineering
- Strong understanding of software architecture and scalable backend systems
- Full-stack experience is preferred, with React being a plus
- Experience leading a small engineering team and driving technical delivery
- Excellent communication skills, particularly when working with distributed teams
- Strong problem-solving skills and a hands-on approach to engineering
- AI expertise is a plus
- Experience with payment systems or payment-related products is a plus
Who you are
- You take ownership and drive work through to completion
- You're hands-on and enjoy solving challenging engineering problems
- You're curious, resourceful, and always looking to learn
- You communicate clearly and work well with teams across different locations
- You lead by example and help the team deliver high-quality work
Python
React.jsJob Description: Tech Lead – AI & Technology
Role Title: Tech Lead – AI & Technology
Location: Bangalore, India – Fully On-site
Experience: 5+ Years
Employment Type: Full-time
About the Role
We are looking for an experienced and hands-on Tech Lead to lead a small engineering team and drive the development of AI-powered applications, internal technology platforms, and modern IT solutions. The Tech Lead will be responsible for technical direction, architecture, development, code quality, team management, and end-to-end delivery of technology projects. The ideal candidate should have strong programming experience, particularly in Python and ReactJS, along with practical experience working with AI/ML technologies.
1. Technical Leadership & Team Management
- Lead and mentor a team of developers and technical team members.
- Own technical delivery across multiple projects and initiatives.
- Assign tasks, review progress, resolve technical blockers, and ensure timely delivery.
- Conduct code reviews and establish engineering best practices.
- Mentor team members and support their technical growth.
2. Software Development & Architecture
- Design and develop scalable, secure, and maintainable applications.
- Lead backend development using Python and frontend development using ReactJS.
- Define application architecture, technology choices, APIs, integrations, and development standards.
- Review technical designs and ensure high-quality implementation.
- Troubleshoot complex technical issues and drive effective solutions.
3. AI & Technology
- Lead the development and integration of AI-powered applications and solutions.
- Work with AI/ML models, APIs, LLMs, Generative AI, and related technologies.
- Evaluate emerging AI tools and technologies and identify opportunities for practical implementation.
- Collaborate with product and business teams to translate requirements into AI-enabled technology solutions.
4. Project Delivery
- Own the complete technology lifecycle from requirements and architecture to development, testing, deployment, and maintenance.
- Plan sprints, estimate development efforts, and track technical milestones.
- Work closely with cross-functional stakeholders to understand requirements and deliver solutions.
- Ensure projects meet timelines, quality standards, security requirements, and performance expectations.
5. Engineering Quality & Infrastructure
- Establish standards for coding, testing, documentation, version control, and deployment.
- Ensure applications are scalable, reliable, and secure. l Collaborate on cloud infrastructure, APIs, databases, CI/CD, and deployment processes.
- Identify opportunities to improve system performance and engineering efficiency.
Technical Skills – Must Have
- 5+ years of software development experience.
- Strong hands-on experience with Python.
- Strong experience with ReactJS / React.
- Experience leading or managing technical team members.
- Strong understanding of AI/ML and Generative AI technologies.
- Experience with APIs, databases, Git, and software development lifecycle.
- Strong understanding of application architecture and system design.
- Experience building and deploying production-grade applications.
Technical Skills – Good to Have
- Experience with LLMs, RAG, AI agents, or Generative AI applications.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, CI/CD, and DevOps practices.
- Experience integrating third-party AI APIs and services.
- Experience working in startups or fast-paced technology environments.
What We Are Looking For
- Strong technical ownership and problem-solving ability.
- Ability to balance hands-on coding with team leadership.
- Excellent communication and stakeholder management skills.
- Ability to mentor developers and drive accountability within the team
- Strong interest in AI and emerging technologies.
- A proactive, ownership-driven approach with the ability to work in a fast-paced environment.
Why Join Us?
- Work on AI-powered technology with meaningful social impact.
- Lead a small, high-ownership technology team.
- Work across AI, software engineering, and modern IT infrastructure.
- Opportunity to shape technology architecture and engineering practices from the ground up.
- Collaborative and fast-moving environment with significant technical ownership.
Python
PostgreSQLWe are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.
This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and
operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding
agents and automation tools to improve the team's output without compromising quality.
Key Responsibilities
• Own the architecture, development, deployment, and reliability of our backend systems.
• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.
• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and
retrospectives.
• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.
• Track execution proactively, identify delivery risks early, and communicate status clearly.
• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.
• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.
• Improve engineering quality through coding standards, automated testing, documentation, and review processes.
• Delegate work effectively across team members according to their strengths and development needs.
• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all
outputs.
• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of
done.
• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.
What We Are Looking For
• 6+ years of backend engineering experience.
• At least 2 years of experience leading or managing an engineering team.
• Strong hands-on backend development experience with Python, FastAPI, Django + Django REST Framework, and
PostgreSQL.
• Practical experience with cloud infrastructure (AWS), DevOps, CI/CD, containers (Docker), monitoring, and
production operations.
• Experience working in a mature, process-oriented engineering environment.
• Demonstrated ability to improve delivery predictability and engineering throughput.
• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.
• Ability to manage multiple people and concurrent streams of work.
• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.
• Strong written and verbal communication skills.
• Ability to give direct, constructive feedback and hold team members accountable.
• Sound judgement about when to build, delegate, automate, or reduce scope.
Tech Stack
Must-have: Python, FastAPI, Django + Django REST Framework, PostgreSQL, SQLAlchemy (async) + asyncpg, Pydantic,
REST API design + JWT authentication, Docker, AWS (ECS, ALB, ECR, CloudWatch, S3, Secrets Manager), Git.
Strongly preferred: Redis, Elasticsearch / OpenSearch, WebSockets, Payment gateways (Razorpay / Cashfree), Third-
party / ERP integrations, CI/CD (AWS CodeBuild or GitHub Actions).
Nice-to-have: Frappe / ERPNext + MariaDB, Microservices architecture, PostHog / CleverTap / Firebase, B2B e-commerce
or order management experience.
AI-Assisted Engineering
The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:
• Breaking work into tasks that can be delegated safely to coding agents.
• Running multiple human and agent-led workstreams concurrently.
• Providing agents with clear context, constraints, and acceptance criteria.
• Reviewing generated code for correctness, security, maintainability, and architectural fit.
• Using automation to accelerate testing, documentation, refactoring, and operational workflows.
• Measuring whether AI tooling produces genuine delivery improvements.
We do not expect blind reliance on generated output. The Engineering Lead remains accountable for the quality and
correctness of everything shipped by the team.
Success in the First 90 Days
• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.
• Take ownership of backend and DevOps execution.
• Introduce a consistent planning, tracking, review, and release cadence.
• Establish visibility into ownership, progress, dependencies, and delivery risks.
• Improve CI/CD, testing, monitoring, and production-readiness practices.
• Create an effective delegation model across engineers and AI agents.
• Deliver at least one meaningful product or platform milestone predictably from planning through production.
Nice to Have
• Experience scaling an early-stage or growing engineering team.
• Experience hiring, mentoring, and performance-managing engineers.
• Experience with infrastructure as code, security practices, and cloud-cost optimisation.
• Experience managing migrations, reliability improvements, or legacy-system modernisation.
• Previous experience introducing AI-assisted development workflows into an engineering team.
Who Will Succeed in This Role
You are likely to succeed if you are equally comfortable discussing architecture, reviewing code, resolving a production incident, planning a release, and having an accountability conversation with an engineer. You bring structure without creating unnecessary bureaucracy and know how to turn product priorities into consistent, high-quality delivery.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon