Bengaluru, Karnataka, India · On-site
$1000k–$1200k/yr
JOB DESCRIPTION Job Designation = SENIOR FULL STACK DEVELOPER 1) Programming Language > Python = YES . 2) Front End experience -> Angular 3) SQL = Ability to execute -> Advanced queries 4) Ability to do unit testing for …
Skills: Python, Angular, SQL, AWS, FastAPI
Bengaluru, Karnataka, India · On-site
Senior Data Platform Engineer (Database & Storage Connectors) Deep knowledge about mutliple databases .-> Atleast in RDBMS Mysql & Postgress is minimum. No sql dbs like mongodb . STORAGE they should have worked in S3 Abi…
Skills: PostgreSQL, MySQL, MongoDB, DynamoDB, Python
Bengaluru, Karnataka, India · On-site
JOB DESCRIPTION ROLE: Operations Executive ● Employment type: Full Time Field work. (Work from home is Not available) ● Work week- 5.5 days working 8:00 AM to 6:00 PM for 5 days, 08:00 AM to 01:00PM half day on any 1 day…
Skills: Property Management, Facilities Management, Staff Supervision, Customer Query Handling, Building Maintenance
Bengaluru, Karnataka, India · On-site
FEATURES MAPPING Expected 1 Customer Handling Expertise 2 Automated Testing (exmaple tool Selenium) Expertise 3 SQL testing Expertise 4 Break down the requirement to the tasks for Test planning Expertise 5 Ability to ide…
Skills: Automated Testing, SQL Testing, Test Planning, Manual Functional Testing, UAT
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Develop and maintain full-stack applications using Python for the backend and Angular for the frontend. Design complex SQL queries, manage cloud infrastructure on AWS, and implement comprehensive unit and integration testing.
Requires 5+ years of experience in full-stack development with expert-level proficiency in Python, Angular, and advanced SQL. Must have hands-on experience with AWS and a strong background in CI/CD pipelines and containerization.
JOB
DESCRIPTION
Job Designation = SENIOR FULL STACK DEVELOPER
WHAT DO WE DONT WANT ?
JOB
SCHEDULE
Employment
type : Full Time from office 8:00 AM to 6:00 PM.
Work
days : 5 days with fixed Saturday & Sunday week off. Work from home is Not
available.
Probation = 90 days
Office
Location : Neil Rao Towers, EPIP Zone , Whitefield
, Bangalore - 66
COMPENSATION : 10 to 12 Lakhs LPA
| Senior Fullstack Developer — Job Description Skill Matrix | |||
| Section | Topic / Skill | Proficiency Required | Key Requirements |
| 1. SQL, RDBMS & NoSQL | Advanced SQL Query Writing | Expert — Hands-on Mandatory | Must write complex queries from scratch: multi-table JOINs, correlated subqueries, CTEs, window functions (ROWNUMBER, RANK, LAG, LEAD, NTILE). Must explain query execution order: FROM → WHERE → GROUP BY → HAVING → SELECT → ORDER BY. |
| Schema Design & Normalization | Expert | Designs normalized schemas (1NF–3NF), knows when to denormalize. Defines PKs, FKs, composite keys, unique/check constraints. Understands cascade rules (ON DELETE CASCADE, SET NULL). | |
| Indexing & Query Optimization | Expert | B-tree vs hash index internals, composite index column ordering, covering indexes, index cardinality. Reads EXPLAIN / EXPLAIN ANALYZE output, resolves N+1 query patterns. | |
| Transactions, ACID & Isolation Levels | Strong | Explains ACID guarantees and each isolation level (READ COMMITTED, REPEATABLE READ, SERIALIZABLE). Uses SELECT FOR UPDATE, handles row vs table locks, navigates deadlock scenarios. | |
| PostgreSQL / MySQL | Strong in Both | Production experience with stored procedures, triggers, views, materialized views. Familiar with PostgreSQL JSONB / MySQL JSON columns. | |
| Document Databases (MongoDB) | Strong | Embedding vs referencing decisions. Aggregation pipelines ($match, $group, $lookup, $project, $unwind), indexing strategies, TTL indexes. | |
| Key-Value & Wide-Column (Redis / DynamoDB) | Solid | Redis for caching, pub/sub, sorted sets, TTL eviction. DynamoDB partition key design, hot partition avoidance, read/write capacity planning. | |
| CAP Theorem & Trade-off Reasoning | Conceptual Clarity Required | Articulates trade-offs between consistency, availability, and partition tolerance. Can justify Redis vs PostgreSQL vs MongoDB as an architectural decision. | |
| 2. Angular Frontend | Component Architecture & Standalone Components | Expert | All lifecycle hooks (ngOnInit, ngOnDestroy, ngOnChanges, ngAfterViewInit), Input/Output bindings, Angular 14+ standalone components. Smart vs dumb component separation. |
| RxJS & Reactive Programming | Expert — Senior Filter | Observables, BehaviorSubject, ReplaySubject. Key operators: switchMap, mergeMap, exhaustMap, combineLatest, forkJoin, debounceTime, distinctUntilChanged, takeUntil. No memory leaks. Cold vs hot Observables. | |
| Angular Signals (v17+) | Strong — Modern Codebase | signal(), computed(), effect(), toSignal(). Knows when Signals complement or replace RxJS for local state and performance implications. | |
| State Management (NgRx or equivalent) | Strong | NgRx (actions, reducers, selectors, effects) or Akita/NGXS. Evaluates when global store is warranted. Entity adapters and memoized selectors. | |
| Routing, Guards & Lazy Loading | Strong | CanActivate, CanDeactivate guards, route resolvers, child routes. Lazy-loaded feature modules or standalone route chunks. Preloading strategies. | |
| Change Detection & Performance | Strong — Senior Differentiator | Default vs OnPush change detection, Zone.js, ChangeDetectorRef.markForCheck() vs detectChanges(). Eliminates unnecessary re-renders. Angular DevTools profiling. | |
| Reactive & Template-Driven Forms | Solid | Complex reactive forms with FormGroup, FormArray, custom validators (sync and async). Cross-field validation, dynamic form controls. | |
| 3. Python Backend | Pythonic Code & Language Depth | Expert | Comprehensions, generators, decorators, context managers, data classes, type hints. Python memory model, GIL, reference counting at a practical level. |
| REST API Design (Flask or FastAPI) | Expert — Primary Requirement | Well-structured REST APIs with correct HTTP verbs, status codes, validation, structured error handling. FastAPI: Pydantic, dependency injection, async endpoints. Flask: blueprints, application factories. OpenAPI docs as a deliverable. | |
| Async Python | Strong | asyncio event loop, async/await, coroutines, Tasks. Threading vs multiprocessing vs asyncio for CPU-bound vs I/O-bound tasks. GIL question answered without hesitation. | |
| Database Access Patterns | Strong | Raw SQL via psycopg2 / asyncpg with connection pooling. SQLAlchemy for ORM projects. Eliminates N+1 queries, knows when eager loading is necessary. | |
| Authentication & Security | Strong — Non-Negotiable | JWT auth with access/refresh token rotation, OAuth2 flows, API key management. OWASP Top 10: SQL injection prevention, input sanitization, rate limiting, CORS, secrets management. | |
| Background Tasks & Queues | Solid | Celery, RQ, or cloud-native equivalents (AWS SQS, Lambda). Idempotent task handlers, retry logic with exponential backoff, dead-letter queues. | |
| 4. Unit & Integration Testing | pytest — Advanced Usage | Expert | Fixtures at function/session/module scope, parametrize, conftest.py, custom markers. pytest-asyncio, pytest-mock, pytest-cov coverage thresholds. No trivial assert True tests. |
| Mocking & Test Isolation | Strong | unittest.mock — patch, MagicMock, sideeffect, returnvalue, spec. Knows when to mock (external I/O, APIs, DBs) and when not to. Test doubles: stubs, spies, fakes, mocks. | |
| API-Level Integration Testing | Strong | Tests against FastAPI/Flask using TestClient or httpx.AsyncClient. Test databases (SQLite in-memory, test containers). Knows when integration tests replace vs complement unit tests. | |
| Jasmine / Karma & Angular TestBed | Strong | TestBed, ComponentFixture, DebugElement. HttpClientTestingModule, mocked dependencies, DOM state verification. detectChanges() and fakeAsync/tick interaction. | |
| Jest (Preferred Modern Setup) | Solid | Jest for Angular via jest-preset-angular, snapshot testing, ES module mocking. Mocking RxJS Observables and async operators. | |
| Test Quality Principles | Strong — Senior Mindset | Test pyramid (unit > integration > E2E). Tests verify behaviour, not implementation details. Avoids brittle selector chains or overspecified mocks. Can critique a poor test suite. | |
| 5. CI/CD & DevOps | GitHub Actions / GitLab CI / Jenkins | Expert — Deep in ≥1 Tool | Multi-stage pipelines (lint → test → build → deploy), job dependencies, parallel stages, cache strategies, matrix builds. Secrets management. Debugs failing pipelines systematically. |
| Docker & Containerisation | Expert | Multi-stage Dockerfiles with layer caching, non-root users, .dockerignore hygiene. Docker Compose for multi-service local dev. Debugs container startup failures independently. | |
| Cloud Deployment (AWS / GCP / Azure) | Strong | ECS/Fargate, Cloud Run, App Service, or Kubernetes. Rolling deployments, blue-green, canary releases. Detects bad deployments early and rolls back safely with zero data loss. | |
| Infrastructure as Code (Terraform preferred) | Solid | Terraform, AWS CDK, or CloudFormation. State management, module reuse, idempotent applies. Remote state backends (S3 + DynamoDB locking). Reasons about IaC drift. | |
| Observability & Quality Gates | Strong — Senior Ownership Signal | Quality gates in pipeline: coverage thresholds, SAST tools (Bandit, Semgrep), dependency vulnerability scanning. Structured JSON logging, Prometheus/CloudWatch metrics and alerting. | |
| Git Branching & Release Management | Strong | Gitflow and trunk-based development. Mono-repo pipelines for multiple services. Branch protection, mandatory PR reviews, semantic versioning with automated changelog generation. | |
| Proficiency Legend | |||
| Expert | Mandatory — deep, hands-on production experience required | ||
| Strong | Expected — solid working knowledge with real project exposure | ||
| Solid | Nice-to-have — competent working knowledge sufficient |
The Leasing Company- Studios, 1BHK, 2BHK Rental Urban Gated Apartment in Bangalore.
We are solving urban housing for young India on the move, better rental apartments in better locations at a better value for money. We are hoping to provide housing for 10 million people using the Build-to-rent model in urban centres of India.
Offices: Whitefield Road, Bengaluru, Karnataka 560066, IN
View all jobs at KotsThe Leasing Company- Studios, 1BHK, 2BHK Rental Urban Gated Apartment in Bangalore.
We are solving urban housing for young India on the move, better rental apartments in better locations at a better value for money. We are hoping to provide housing for 10 million people using the Build-to-rent model in urban centres of India.
Offices: Whitefield Road, Bengaluru, Karnataka 560066, IN
View all jobs at Kots