Senior Software Engineer

Lumen Dynamics is hiring Senior Software Engineer job (Remote only) | Cutshort

Senior Software Engineer
Senior Software Engineer

3
\- 20 yrs
$20K - $30K / yr
Remote only
Skills
Python
Django
Celery
We are looking for a Senior Python Developer to build functional and efficient server-side applications.
Senior Python Developer responsibilities include participating in all phases of the software development lifecycle. If you’re a seasoned developer with a love for back-end technologies, we’d like to meet you.
Your ultimate goal is to create high-quality products that meet customer needs.
Responsibilities
– Writing clean, high-quality, high-performance, maintainable code
– Develop and support software including applications, database integration, interfaces, and new functionality enhancements
– Coordinate cross-functionally to insure the project meets business objectives and compliance standards
– Support test and deployment of new products and features
– Participate in code reviews
– Manage testing and bug fixes
– Prepare technical documentation
– Collaborate with UX/UI designers to implement design into the code
– Implement software enhancements and suggest improvements
Qualifications
– Bachelor's degree in Computer Science (or related field)
– 3+ years of work experience as a Python Developer
– Experience with Python frameworks (e.g. Django, Flask, Bottle)
– Expertise in Object-Oriented Design, Database Design, and XML Schema
– Experience with Agile or Scrum software development methodologies
– Ability to multi-task, organize, and prioritize work
– Familiarity with Amazon Web Services (AWS) and REST API
– Understanding of databases and SQL
– Knowledge of machine learning is a plus
– Attention to detail
– Leadership skills
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma
Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
Companies hiring on Cutshort

Founded
:
2018
Type
:
Products & Services
Size
:
0-20
Stage
:
Raised funding
About
GlanceClaim™ helps you reduce insurance claim rejections and save lost revenue | Reduce Coding Discrepancy by 87% | Reduce Pre-authorization Rejections | Reduce Revenue Loss With The Right Choice of Services | Empower Your Administrative Decisions With High-quality Claims Data
Read more
Connect with the team
Company social profiles

Similar jobs

Posted by
Ramraj PN
Bengaluru (Bangalore)
0.3
\- 0.4 yrs
₹6000 - ₹8000 / mo
React.js
NodeJS (Node.js)
Python
PHP
Laravel
+4 more
We are looking for a passionate Backend Developer Intern (Paid Internship - 6 Months) with proficiency in Node.js, Python, PHP, and Laravel, along with working knowledge of React.js. Candidates should have prior internship experience, familiarity with AI-powered development tools, and strong problem-solving skills. Kannada-speaking candidates will be preferred.
Read more

Posted by
Pavan Kumar
Mumbai, Navi Mumbai
10
\- 15 yrs
₹55L - ₹80L / yr
Distributed Systems
Systems design
Systems architecture
High-level design
LLD
+77 more
Location: Mumbai, Maharashtra, India
Sector: Technology, Information & Media
Company Size: 1000 - 1000 Employees
Employment: Full-Time, Permanent
Experience: 10 - 14 Years (Engineering Leadership)
Level: Engineering Manager / Group EM
ABOUT THIS MANDATE :
Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.
This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.
We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.
THE OPPORTUNITY AT A GLANCE :
AI-First Engineering Culture :
– Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.
Hands-On Engineering Leadership :
– Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.
People & Org Builder :
– Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.
KEY RESPONSIBILITIES :
1\. Hands-On Technical Engagement :
– Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
– Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
– Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
– Identify and resolve systemic technical debt and architectural risks across team-owned services
– Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
– Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability
2\. AI Adoption, Integration & Transformation (2026 Mandate) :
– Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
– Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
– Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
– Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
– Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
– Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
– Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
– Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications
3\. People Leadership & Team Development :
– Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
– Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
– Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
– Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
– Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
– Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
– Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering
4\. Engineering Delivery & Execution Excellence :
– Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
– Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
– Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
– Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
– Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
– Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership
5\. Strategic Leadership & Cross-Functional Influence :
– Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
– Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
– Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
-