Senior Software Developer

We are looking for an Engineering Lead to own the entire technology stack — from onboarding and underwriting to disbursals, repayments, and collections — and to build the engineering function into something genuinely AI-native. 

What You'll Own 

● Full tech stack: backend, frontend, infrastructure, integrations, and data pipelines 

● Real-time underwriting and decisioning systems 

● LOS/LMS architecture — onboarding, disbursals, repayments, and collections

● Integrations with bureaus, KYC providers, account aggregators, and payment gateways 

● Reconciliation systems — disbursement, repayment, and NACH reconciliation end-to-end 

● AWS infrastructure: scaling, reliability, uptime, and cloud cost ownership ● Data infrastructure for the credit and risk team — feature pipelines, model serving, experiment infrastructure 

● Engineering leadership: hiring, sprint planning, code reviews, and execution standards 

● Compliance systems: RBI guidelines, DPDP, KYC/AML, e-NACH, e-sign 

AI-Native Engineering 

This is a core part of the role, not a bonus. You will build a machine-readable knowledge base of the entire codebase — architecture, data models, service contracts, coding standards, decision history — so that AI agents working on code have the context to produce accurate, consistent output. You will build skills for code review, developer onboarding, and recurring engineering workflows. You will build a code review pipeline where agents do the first pass on every pull request. The knowledge base and the skills improve over time as the team grows and the product evolves. 

What We're Looking For 

● 7+ years in software engineering, with at least 2 years leading teams or architecture

● Strong hands-on experience with Python, Django, and React Native

● Deep expertise in AWS and cloud-native architecture 

● Experience with both SQL and NoSQL databases 

● Strong understanding of distributed systems, microservices, and API design

● Experience owning reconciliation or payment flow infrastructure in a lending or payments context

● Prior experience in fintech / NBFC / digital lending — mandatory

● Strong understanding of the full loan lifecycle — mandatory 

● You have used LLMs seriously as engineering tools and have strong opinions about what makes AI-assisted development produce good output versus mediocre output 

Bonus: Kubernetes / Kafka, AI/ML-driven underwriting, Account Aggregator framework, e-NACH / e-Sign / Video KYC integrations 

What Success Looks Like 

● scales with strong uptime, performance, and reliability

● Reconciliation runs cleanly — no financial discrepancies surface late ● A new engineer joins and is writing standard, correct code within their first week

● The credit team is never blocked on an engineering dependency 

● Engineering health metrics are tracked and visibly improving 

● AI agents are doing the structured first pass on code reviews, and the system gets smarter over time 

About the role

You will be a pivotal member of the leadership team, responsible for driving the company's product and platform strategy while overseeing engineering excellence across AI, data, platform, DevOps and infrastructure. This is a mission-critical role for an engineering leader who is both strategic and hands-on, and who can build scalable technologies for global enterprise clients in a fast-paced innovation ecosystem.

Reports to: CEO · Location: Bengaluru, India — hybrid, 3 days a week in office

What you will do

Technology & product leadership

• Define and drive the technology vision, architecture and long-term platform roadmap.
• Oversee the architecture, design and delivery of highly scalable enterprise systems.
• Ensure engineering excellence, velocity and reliability across the product lifecycle.

Engineering & platform management

• Lead platform engineering, product technology, DevOps, infrastructure and Quality Engineering.
• Build robust cloud-native systems using the Azure, AWS and GCP ecosystems.
• Oversee operational effectiveness, including uptime, production reliability and cost optimisation.

Innovation & AI strategy

• Spearhead Mission AI by developing scalable, production-grade AI/ML and GenAI capabilities.
• Own the GenAI/LLM solutions architecture.
• Core specialisation in AI agents and autonomous workflows, data extraction and intelligent automation.
• Direct hands-on architectural oversight of large language models, applied AI and multi-layered deep learning products.
• Extensive expertise in building intelligent document automation systems — similar in complexity to patent parsing, legal workflow automation and structured decision intelligence tools.

Technical leadership

• A proven track record overseeing product architecture, tech strategy and cross-functional engineering execution across core full-stack and AI platforms.
• Collaborate with executive leadership on business strategy, client requirements and product delivery.
• Build, mentor and scale high-performing engineering teams with a growth mindset.
• Establish a strong technology culture grounded in ownership, innovation and continuous learning.

What success looks like

• Mission AI: build a world-class AI system leveraging GenAI, ML and enterprise-grade data engineering.
• Hyper-scaling: architect and scale the platform to match global industry leaders in the IP space.
• Culture building: develop a strong engineering organisation with high ownership, performance and innovation DNA.

Qualifications & experience

• Preferably under 15 years of enterprise software engineering experience across B2B SaaS or technology-first companies; fewer is fine for an exceptional engineer.
• A proven track record of taking early-stage AI/ML prototypes and scaling them into robust enterprise SaaS platforms featuring multi-agent orchestration, complex workflows and decision intelligence.
• Experienced in building and mentoring agile, lean startup teams of full-stack and machine learning engineers from the ground up.
• Proven leadership in defining and executing technology strategy and platform roadmaps.
• Extensive cloud-native engineering experience with Azure, AWS and GCP.

Technical expertise

• Strong full-stack engineering background (Java, Python, JavaScript frameworks).
• Expertise with JS frameworks such as React, Angular and Node.js.
• Experience building and scaling distributed systems and microservices.
• Strong knowledge of databases (SQL, NoSQL), data modelling and unstructured data management.
• Strong understanding of Agile methodologies and tools (Atlassian, Git, CI/CD pipelines).

Behavioural & leadership competencies

• Product and delivery management expertise, end to end, including delivery and customer support.
• Excellent communication, with the ability to influence executive stakeholders.
• High technical proficiency combined with strong business acumen.
• Strong analytical and decision-making skills.

Role & Responsibilities

Responsibilities

• Business: Immerse in operations until you think like an insider.

Rapidly acquire domain expertise through direct observation, translate between business and engineering seamlessly, and mentor engineers in your area on immersion. Influence senior stakeholders effectively, manage complex stakeholder landscapes with competing agendas, and build trust rapidly with new stakeholders.

• Delivery: Lead rapid delivery initiatives across teams in your area, coach on prototype-first approaches, and establish trust through consistent fast delivery. Build complete applications rapidly across any technology stack, select the right tools for each problem, and define clear criteria for prototype-to-production transitions.

• Generative AI: Architect RAG systems for complex use cases across teams, implement advanced techniques (hybrid search, reranking, query expansion), mentor engineers on RAG best practices, and establish RAG standards. Lead evaluation strategy across teams, establishing annotation guidelines, training human-calibrated LLM judges, and building evaluation pipelines that connect tracing to datasets to experiments.

• People: Build high-performing teams across your area, navigate complex interpersonal dynamics, foster psychological safety, and create environments where diverse perspectives are valued. Influence through communication at all levels — from frontline to executive. Handle difficult conversations skilfully and train engineers in your area on effective communication.

• AI-Augmented Development: Optimise AI tool usage across teams in your area, train engineers on AI-augmented and agentic engineering workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigour.

• Scale: Design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. Create debt reduction strategies across teams, influence roadmap decisions to include debt work, and teach engineers when to accept debt for speed versus when to invest in quality.

• Documentation: Define documentation standards across teams in your area, create documentation systems and templates, train engineers on spec-driven development, and ensure documentation quality across projects. Lead pattern generalization initiatives, defining criteria for when to generalize versus keep custom.

• Reliability: Define reliability standards across teams in your area, drive post-incident improvements systematically, design capacity planning processes, andmentor engineers on SRE practices.

Ideal Candidate

• Strong Staff Software Engineer / FDE profile (full-stack + production GenAI, multi-team technical leadership)
• Mandatory (Experience 1) – Must have 7+ years of relevant professional software engineering experience, with demonstrated full-stack delivery across backend and frontend.
• Mandatory (Experience 2) – Must have deep production experience with Python AND JavaScript/TypeScript, working comfortably across the full stack.
• Mandatory (Experience 3) – Must have 2+ years of experience in generative AI applications developement — LLM integrations, vector databases, RAG systems, and evaluation pipelines
• Mandatory (Experience 4) – Must have strong experience with modern frontend frameworks (Next.js / React) and backend API development.
• Mandatory (Experience 5) – Must have extensive experience with cloud platforms (AWS preferred; Azure/GCP valued), including infrastructure-as-code (CloudFormation / Terraform).
• Mandatory (Experience 6) – Must have working knowledge of multiple database paradigms — relational (PostgreSQL), document, and key-value (Redis) — with ability to select the right storage per problem.
• Mandatory (Experience 7) – Must have strong experience with CI/CD pipelines (e.g. GitHub Actions), containerization, and production deployment strategies.
• Mandatory (Experience 8) – Must have demonstrable fluency with AI coding tools (Claude Code, Cursor, GitHub Copilot, or similar) and proven ability to design agentic engineering workflows and train teams on them
• Preferred (Experience) – Advanced RAG techniques — hybrid search, reranking, query expansion — and establishing RAG standards across teams

Looking for somone with strong in AI, who have built the application and scaled them . Start up work exposure

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

Job Description:

Head of Engineering — Chennai (Onsite)About the Role

Job Details

Position: Head of Engineering

Department: Engineering

Experience: 6–8 Years

Employment Type: Full-time

Location: Chennai, On-site

Salary: Up to ₹24,00,000 per annum

About the Role

We’re looking for a Head of Engineering to take end-to-end ownership of engineering for a fast-moving product. You’ll be responsible for architecture, execution, product quality, engineering culture, and team growth.

This is a hands-on leadership role. You’ll spend approximately 60% of your time coding and reviewing code and 40% on product, people, and engineering leadership.

What You’ll Do

• Own engineering end to end, including architecture, development, delivery, quality, and hiring.
• Stay hands-on with the codebase, spending roughly 60% of your time writing and reviewing code.
• Establish and continuously improve the engineering workflow: how the team plans, builds, reviews, ships, and measures.
• Improve development velocity and reduce cycle time without compromising product quality.
• Drive AI-assisted software development across the engineering team using Claude Code and similar agentic coding tools as a core productivity lever.
• Establish practical systems and workflows that demonstrate measurable improvements in engineering throughput.
• Work closely with the founders on product strategy, technical trade-offs, priorities, and what to build next.
• Build, mentor, and scale a high-performing engineering team.

What We’re Looking For

• 6–8 years of professional software engineering experience.
• Experience taking at least one product from zero to launch.
• Experience building and scaling at least one product to a large user base.
• Strong hands-on expertise in Python and Node.js.
• Comfortable working with React Native / Expo.
• Strong understanding of PostgreSQL and database fundamentals.
• Previous experience leading a small engineering team.
• A leadership style based on ownership and technical example, rather than simply assigning tickets.
• Daily experience with agentic coding tools, with the ability to demonstrate how they have improved development speed and team throughput.
• Strong product instincts and the ability to form opinions about user problems, not just technical implementation.
• Based in Chennai or willing to relocate.

How We Work

We operate with high pace, high ownership, and short feedback loops.

You’ll be expected to get close to the product, understand the users, make decisions quickly, and ship within your first week.

If you enjoy building products from the ground up, staying close to the code, and using AI to fundamentally improve how engineering teams work, we’d love to hear from you.

How to Apply

Join Aura Gold and be part of building a high-performing team from the ground up!

Ability to commute/relocate:

• Chennai, Tamil Nadu (Chennai, Chennai District): Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Language:

• English, Tamil , Hindi (Required)

Location:

• Chennai, Tamil Nadu (Chennai, Chennai District) (Required)

Work Location: In person

About the Role

We are seeking a hands-on Tech Lead to design, build, and integrate AI-driven systems that automate and enhance real-world business workflows. This is a high-impact role for someone who enjoys full-stack ownership — from backend AI architecture to frontend user experiences — and can align engineering decisions with measurable product outcomes.

You will begin as a strong individual contributor, independently architecting and deploying AI-powered solutions. As the product portfolio scales, you will lead a distributed team across India and Australia, acting as a System Integrator to align engineering, data, and AI contributions into cohesive production systems.

Example Project

Design and deploy a multi-agent AI system to automate critical stages of a company’s sales cycle, including:

• Generating client proposals using historical SharePoint data and CRM insights
• Summarizing meeting transcripts
• Drafting follow-up communications
• Feeding structured insights into dashboards and workflow tools

The solution will combine RAG pipelines, LLM reasoning, and React-based interfaces to deliver measurable productivity gains.

Key Responsibilities

• Architect and implement AI workflows using LLMs, vector databases, and automation frameworks
• Act as a System Integrator, coordinating deliverables across distributed engineering and AI teams
• Develop frontend interfaces using React/JavaScript to enable seamless human-AI collaboration
• Design APIs and microservices integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure)
• Drive architecture decisions balancing scalability, performance, and security
• Collaborate with product managers, clients, and data teams to translate business use cases into production-ready systems
• Mentor junior engineers and evolve into a broader leadership role as the team grows

Ideal Candidate Profile

Experience Requirements

• 5+ years in full-stack development (Python backend + React/JavaScript frontend)
• Strong experience in API and microservice integration
• 2+ years leading technical teams and coordinating distributed engineering efforts
• 1+ year of hands-on AI project experience (LLMs, Transformers, LangChain, OpenAI/Azure AI frameworks)
• Prior experience in B2B SaaS environments, particularly in AI, automation, or enterprise productivity solutions

Technical Expertise

• Designing and implementing AI workflows including RAG pipelines, vector databases, and prompt orchestration
• Ensuring backend and AI systems are scalable, reliable, observable, and secure
• Familiarity with enterprise integrations (SharePoint, Teams, Databricks, Azure)
• Experience building production-grade AI systems within enterprise SaaS ecosystems

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. 

This role is part of Cognizant IOA (Intuitive Operations and Automation) — and more specifically, a product team with its own origin story. We started as Matterway, a German startup building automation software from scratch. We were acquired by Cognizant, but we kept our team, our culture, our pace, and our way of working. We move like a startup, think like a startup, and now do it with the backing of a global company. 

We combine human expertise with intelligent automation, ML operations, and digital experience solutions to help technology and digital-native companies build smarter, more adaptive operating models. 

What's the opportunity? 

We are looking for Senior Product Engineers to join our team. We're a tight crew of 5 senior engineers, from different corners of the world. We're hiring 3 more people, and those people will shape what this team becomes. 

We're building a platform to support the agentification of our operations. You'll work across a suite of products including a cloud platform for process optimization, desktop application, browser extension, and specialized AI agents. 

This is genuinely frontier work: we don't follow AI trends, we implement them. New model drops on a Monday; we've prototyped with it by Wednesday. 

We believe this is the most exciting time to join. Be part of the founding R&D talent in this area and help set the technical bar for everything that comes next. 

What will you be doing? 

Your day-to-day responsibilities: 

• Design and evolve the core architecture of our platform 
• Set technical standards and take ownership of complex projects end-to-end 
• Work on a well-architected, fast-evolving TypeScript codebase using technologies such as React, Node.js, Electron, and GraphQL 
• Collaborate with product managers, designers, and engineers to solve challenging technical and business problems, with real autonomy 
• Participate in the full development lifecycle: scoping, design, estimation, coding, testing, debugging, code reviews, maintenance, and support 
• Evaluate and implement proofs of concept using the latest AI tools and models 

You will know you're successful if: 

• You develop projects independently until they deliver their intended business value 
• You keep top-notch software quality standards about design, implementation, and documentation 
• You're the person who brings something new to the team's radar, a model, a technique, a tool, before anyone else has heard of it 

What makes you a great fit 

Must-haves: 

• Excellent English (C1+) with exceptional written and verbal communication 
• Strong proficiency with TypeScript across frontend and backend, including building and maintaining Node.js-based services 
• Experience in frontend development using modern frameworks such as Vue.js or React 
• Knowledge of any E2E testing framework such as Playwright, Puppeteer, Selenium, Cypress 
• Ability to work independently and take ownership of deliverables 
• Strong technical fundamentals, genuine intellectual curiosity, and a drive to keep getting better 
• You follow AI closely, not just as a user but as someone who reads the papers, watches the releases, and has opinions. You're excited about where this is going and want to be building at the edge of it 

Nice-to-haves: 

• Familiarity with AI-coding tooling (Claude Code, Cursor, OpenCode, etc.) 
• Experience with cloud infrastructure (AWS, Azure or GCP) and infra-as-code deployment 
• Having built or maintained CI/CD pipelines or workflows, especially GitHub actions 

Why join us? 

• Be at the cutting edge of AI agents and applying LLMs to real-world use cases, not in theory but in production 
• Work on hard problems with high agency: your ideas get heard; your decisions get shipped 
• Join a small but growing internationally distributed team. 
• giving you real influence over how it evolves 
• The resources of a global company with the speed and culture of a startup 
• Remote-first set-up, with the option to work from one of our 13 locations in India: Chennai, Bangalore, Hyderabad, Pune, Mumbai, Gurgaon, Noida, Kolkata, Kochi, Coimbatore, Bhubaneswar, Mangalore, and Indore 
• Flexible working hours 
• Collaborative, pragmatic engineering culture focused on outcomes 
• Fast-growing team within Cognizant, with access to global resources and real career opportunities 

Roles & Responsibilities

1. Write, review and merge production code across Vue.js frontend and Node.js backend
2. Own code quality for the India team — set review standards and refactor technical debt
3. Debug across the full stack — from Vue rendering issues to Mongo aggregations to Kubernetes pod issues
4. Guide the team on day-to-day development decisions and step in on unsolved problems
5. Design solutions for new modules from spec to schema to API contract to implementation
6. Own MongoDB data modelling decisions — document structure, embedding vs referencing, index strategy
7. Review Node.js service design: API structure, error handling, validation, authentication, rate limiting, background processing
8. Make and document build-vs-buy calls on third-party services with cost and integration effort
9. Ensure the platform stays stable and performant on a live, revenue-generating system
10. Demonstrate daily working use of AI coding tools and spec-driven development practice
11. Judge AI output quality and know when tasks should not be handed to agents
12. Set up and maintain repo-level context files and make the team's AI setup consistent
13. Coach the team on AI tools while holding the line on quality
14. Work with LLM APIs, embeddings, semantic search and understand where AI features help
15. Run sprint planning, estimation, standups and retros for the India team
16. Break requirements into technical tasks with clear acceptance criteria
17. Track velocity and flag slippage and blockers early
18. Own release coordination — deployment planning, rollback strategy and post-release monitoring
19. Line-manage 6–10 engineers across web, mobile and QA — 1:1s, feedback, performance conversations and growth planning
20. Mentor mid-level engineers into senior ones and build depth
21. Participate in hiring — technical screening, interviewing and onboarding
22. Keep the team's engineering practices consistent: documentation, testing, branching, incident handling
23. Act as the main technical point of contact between the India team and the UAE office product and business stakeholders
24. Communicate clearly to mixed technical and non-technical audiences — status, risk, trade-offs and time cost
25. Manage the time-zone gap with structured overlap hours, written updates and async documentation
26. Own technical delivery on modules including product catalogue, pricing, ordering, workflows, order management, payments, invoicing and vendor onboarding

Ideal Candidate

1Strong Hands-On Technical Team Lead Profile (Vue.js + Node.js) with AI-assisted development and B2B e-commerce exposure2Mandatory (Experience) - Must have 8+ years of software engineering experience with at least 2+ years leading a team of 5 or more engineers3Mandatory (Tech skill 1): Must have strong, current, hands-on Vue.js experience including component architecture, state management and performance optimisation4Mandatory (Tech skill 2): Must have strong, current, hands-on Node.js and Express experience for production API development at scale5Mandatory (Tech skill 3): Must have deep MongoDB experience including aggregation pipelines, index design, query performance tuning and schema decisions6Mandatory (Tech skill 4): Must have AWS experience particularly Kubernetes/EKS with deployments, resource limits, health probes and production monitoring7Mandatory (Tech skill 5): Must have working understanding of Flutter including widget architecture, state management, platform channels and Play Store/App Store release pipelines8Mandatory (Tech skill 6): Must have demonstrable, daily professional use of AI coding tools (Claude Code, Cursor, GitHub Copilot, Gemini CLI or equivalent) with real examples9Mandatory (Tech skill 7): Must have experience with spec-driven development including writing structured requirement and design documents and reviewing AI-generated output against acceptance criteria10Mandatory (Tech skill 8): Must have experience setting up and maintaining repo-level context files, rules files and custom commands for AI development11Mandatory (Tech skill 9): Must have Git and CI/CD experience including branching strategy, review workflow and automated pipelines12Mandatory (Leadership): Must have line-managed engineers (1:1s, feedback, performance, growth), mentored mid-to-senior, and participated in hiring13Mandatory (Communication): Must communicate clearly to mixed technical/non-technical audiences and manage a time-zone gap with structured overlap and async documentation (works with the UAE office)14Mandatory (Education): Bachelor's or Master's in Computer Science, Engineering or related field15Mandatory (Domain): Background in B2B e-commerce, wholesale/distribution or marketplace platforms16Preferred (Offshore Experience): Experience working as the offshore technical counterpart to an overseas leadership team17Preferred (AI Integration): Experience integrating LLM APIs into a production product18Preferred (Observability): Exposure to observability tooling such as CloudWatch, Datadog or Sentry and analytics instrumentation19Preferred (Third-party Integrations): Experience with payment gateways, e-signature, logistics APIs, mapping and geolocation integrations

Our team builds Grid, our internal platform powering several process improvement tools for the company’s internal operations. We are hiring a Senior Full-Stack Engineer to serve as the technical core of Grid. You will be responsible for the platform's architectural integrity—managing robust infrastructure, database design, and CI/CD pipelines rooted in traditional web development excellence. In this role, you will provide critical technical oversight and mentorship, ensuring that all code (including contributions assisted by AI tools) meets our standards for scalability, security, and maintainability.

Key Responsibilities

• Core Architecture & Maintenance: Design and maintain scalable platform architecture, database schemas, and modular APIs built on solid engineering foundations.
• Infrastructure & Systems Integrity: Own the dev, staging, and production environments; maintain reliable CI/CD pipelines, version control standards, and database migrations to ensure production stability.
• Technical Guidance & Quality Assurance: Establish code quality standards, lead rigorous code reviews, and provide technical oversight for features developed by the team (including AI-assisted development) to guarantee stability and security.

Qualifications

• Experience: 3-5 years of comprehensive full-stack software development experience with a strong foundation in backend systems and database design.
• Technical Skills: Deep expertise in SQL/NoSQL database design, API design (REST/GraphQL), complex Git workflows, and CI/CD/DevOps practices.
• Engineering Leadership: Demonstrated ability to mentor engineers, enforce code quality, and maintain high standards within a high-velocity environment.
• Modern Development Proficiency: Experience integrating and managing AI-driven coding tools within a traditional professional software development lifecycle.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Experience Level

This role is ideal for engineers with total 3+ years of experience with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering 

Requirements

What You’ll Bring 

• 3+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies, Python, PHP, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance