Technopark Thiruvananthapuram Kerala Ai developer Jobs – 51 Open Jobs Today

Senior Technical Lead / Architect
Techversant Infotech —Thiruvananthapuram, Kerala
- Full-time
- Azure
- DevOps
- Java
Data Engineer
Cogniphi Technologies —Thiruvananthapuram, Kerala
- Azure
- Oracle
- Data analysis skills
- Health insurance
Bid & Business Development Coordinator
Xeluxe Fire Safety Consultancy —Thiruvananthapuram, Kerala
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
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Associate Data Architect II
UST —Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Lead II - Sales Support
UST —Thiruvananthapuram, Kerala
- Azure
- PMP
- AWS
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Lead Product Security Engineer
Envestnet Asset Management, Inc —Thiruvananthapuram, Kerala
- Hybrid work
- Computer Science
- System design
- Master's degree
- Health insurance
10d
Cloud Devops Engineer
Cogniphi Technologies —Thiruvananthapuram, Kerala
- Azure
- DevOps
- Databases
- Health insurance
Java Architect - Trivandrum Only
UST —Thiruvananthapuram, Kerala
- Java
- AI
- SDLC
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Senior Technical Lead / Architect

Techversant Infotech -
Thiruvananthapuram, Kerala

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Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Azure
Go
Cloud architecture
Node.js
Law
Cassandra
Kubernetes
Relational databases
Software deployment
DevOps
C#
Encryption
Microsoft SQL Server
NoSQL
Git
Google Cloud Platform
MongoDB
.NET
Java
Master's degree
Databases
Database design
RBAC
OOP
AWS
Analysis skills
Docker
JavaScript
PostgreSQL
Distributed systems
Terraform
Continuous integration
Redis
RabbitMQ
REST
ISO 27002
GitHub
APIs
Agile
ISO 27001
Kafka
GraphQL
DynamoDB
AI
gRPC
Jenkins
TypeScript
GitLab
Python
MySQL
Identity & access management
Design patterns

Full job description

We are seeking an experienced and forward-thinking Senior Technical Lead / Architect to drive the design, evolution, and delivery of our enterprise-grade software systems. In this role, you will serve as the technical anchor of one or more product squads — guiding engineers, defining architectural standards, and translating complex business requirements into scalable, secure, and maintainable solutions.
You will work closely with product, infrastructure, and data teams to establish best practices across the full software delivery lifecycle. You are equally comfortable whiteboarding system designs with architects as you are reviewing pull requests with developers. Your technology background is broad and stack-agnostic; what matters most is your depth of engineering judgement and your passion for building systems that last.

Key Responsibilities:

Architecture & Design

Lead end-to-end architecture for new products, platforms, and major feature initiatives
Define and maintain reference architectures, design patterns, and coding standards across teams
Evaluate build vs. buy decisions and drive technology selection with clear rationale
Produce architectural decision records (ADRs) and ensure documentation stays current
Design for non-functional requirements: scalability, resilience, observability, and security by design

Technical Leadership

Provide hands-on technical mentorship to senior, mid, and junior engineers
Conduct architecture and code reviews with constructive, knowledge-sharing feedback
Collaborate with product owners to refine technical feasibility, effort estimates, and trade-off analysis
Act as the primary technical point of contact for cross-team and cross-functional initiatives

Cloud & Infrastructure

Design and govern cloud-native architectures on AWS, Azure, and/or GCP (multi-cloud awareness is a

plus)

Define cloud cost optimisation strategies — right-sizing, reserved capacity, and FinOps principles
Ensure architectures leverage managed services, serverless patterns, and auto-scaling where

appropriate

Drive Infrastructure as Code (IaC) adoption using tools such as Terraform, Pulumi, or CDK

Database Engineering

Design and own relational (PostgreSQL, SQL Server, MySQL) and NoSQL (MongoDB, DynamoDB, Redis,

Cassandra) schemas

Lead database performance optimisation: query tuning, indexing strategies, execution plan analysis,

and caching layers

Define data security controls: encryption at rest and in transit, field-level masking, RBAC, and audit

logging

Govern data lifecycle policies, backup/recovery strategies, and disaster recovery testing
Evaluate and introduce new storage technologies aligned to specific workload demands

DevOps & Developer Experience

Champion CI/CD pipeline design, branching strategies, and automated testing gates
Containerise applications using Docker and oversee Kubernetes / ECS / Cloud Run deployment models
Promote shift-left security (SAST, DAST, dependency scanning) within the development workflow
Establish SLOs, error budgets, and observability practices using tools such as Prometheus, Grafana,

Datadog, or equivalent

AI & Emerging Technologies (Advantageous)

Contribute architectural guidance to AI/ML-powered product features or internal tooling
Evaluate and integrate LLM APIs, embedding pipelines, RAG architectures, or fine-tuning workflows
Ensure responsible AI practices — model governance, bias evaluation, and data privacy compliance
Stay current with the AI landscape and identify opportunities to embed intelligent capabilities into

products

Show Less…

Preferred Skills

Core Engineering Experience

8+ years of professional software engineering experience, with at least 3 years in a technical lead or

architect capacity

Proficiency in one or more languages: JavaScript/TypeScript (Node.js), Python, Java, C# (.NET), or Go
Solid grasp of OOP, functional programming, design patterns (SOLID, DDD, CQRS, Event Sourcing), and

clean code principles

Extensive experience designing RESTful and GraphQL APIs; familiarity with gRPC and async messaging

(Kafka, RabbitMQ, SQS)

Proven track record of delivering large-scale distributed systems in production environments

Cloud Platforms (at least one, multi-cloud awareness preferred)
[AWS] [Azure] [Google Cloud Platform]

Deep hands-on experience with at least one major cloud provider
Core service familiarity: compute (EC2/VMs/GCE), containers (EKS/AKS/GKE), serverless, object

storage, CDN, VPC/networking

Understanding of IAM, least-privilege access, secrets management (Vault, AWS Secrets Manager, Key

Vault)

Experience with cloud cost management, tagging strategies, and rightsizing

Database Skills (MANDATORY)
[Schema Design] [Query Optimisation] [Indexing] [Security] [DR & Backup]

Strong relational database design skills — normalisation, referential integrity, schema versioning

(Flyway, Liquibase)

Performance tuning: EXPLAIN/ANALYZE, index design, covering indexes, partitioning, connection

pooling

NoSQL data modelling for document stores, key-value, wide-column, and time-series databases
Database security: row-level security, column masking, audit trails, encryption key management
High-availability configurations: read replicas, failover clusters, cross-region replication

DevOps & Containerisation (Minimum Proficiency Required)
[Docker] [CI/CD] [IaC] [Kubernetes (basic)]

Container fundamentals: Dockerfile best practices, multi-stage builds, image hardening, registry

management

CI/CD pipeline configuration in GitHub Actions, GitLab CI, Azure DevOps, or Jenkins
Infrastructure as Code basics with Terraform or equivalent
Familiarity with Kubernetes concepts (deployments, services, config maps, ingress) — deep expertise is

a plus

Soft Skills & Leadership

Exceptional communication — able to translate technical concepts for both engineering teams and

non-technical stakeholders

Strong analytical and systems-thinking approach to problem decomposition
Experience driving technical roadmaps aligned with business goals and product strategy
Comfortable operating in fast-paced, agile environments with shifting priorities
Collaborative, empathetic leadership style with a focus on team growth and knowledge transfer

NICE TO HAVE (ADVANTAGEOUS)

Prior experience contributing to or leading AI/ML-powered products or platforms
Hands-on work with LLM frameworks: LangChain, LlamaIndex, OpenAI API, Azure OpenAI, Vertex AI, or

Bedrock

Familiarity with vector databases (Pinecone, Weaviate, pgvector) and semantic search architectures
MLOps experience: model deployment, versioning, monitoring, and retraining pipelines
Knowledge of data engineering patterns — streaming (Kafka, Kinesis), batch ETL, and data

lake/warehouse architectures

Relevant cloud certifications: AWS Solutions Architect, Azure Solutions Architect Expert, Google

Professional Cloud Architect

Experience in regulated industries (FinTech, HealthTech, GovTech) with compliance awareness (GDPR,

ISO 27001, SOC 2)

Open-source contributions or active participation in technical communities

Job Category: Project Manager

Job Type: Full Time

Job Location: Trivandrum Kochi

Apply Now

Refine Your Search

ai developer jobs in technopark thiruvananthapuram kerala

Senior Technical Lead / Architect

Data Engineer

Bid & Business Development Coordinator

Associate Data Architect II

Lead II - Sales Support

Lead Product Security Engineer

Cloud Devops Engineer

Java Architect - Trivandrum Only

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