50+ AWS (Amazon Web Services) Jobs in Bangalore (Bengaluru) | AWS (Amazon Web Services) Job openings in Bangalore (Bengaluru)

Job Title: Technical Architect – Next.js/React & AWS

Experience: 11+ Years

Relevant Experience: 6+ Years

Location: Bangalore, Hyderabad, Pune, Chennai & Gurgaon

Work Mode: Work from Office

Budget: Up to 28 LPA

Payroll: Haparz

Interview Process: 1st Round – Virtual | 2nd Round – Face-to-Face

Notice Period: Immediate / Short Notice Preferred

Role Overview

We are looking for an experienced Technical Architect with strong expertise in Next.js/React and AWS to lead the architecture and delivery of scalable, secure, and high-performance web and mobile solutions. The role requires strong hands-on architecture experience along with the ability to provide technical leadership and translate business requirements into robust system designs.

Key Responsibilities

• Architect and deliver scalable solutions using Next.js and React for web and mobile applications.
• Design secure, high-performance, and highly scalable application architectures aligned with business and technical requirements.
• Design and implement cloud solutions using AWS services including Lambda, Cognito, and DynamoDB.
• Translate business requirements into system-level architecture, technical designs, and detailed architecture documentation.
• Lead architecture decisions, evaluate technical trade-offs, and establish engineering best practices.
• Lead technical teams and provide guidance on development standards, architecture, code quality, and solution design.
• Build, prioritize, and manage the technical backlog and user stories in collaboration with product and engineering teams.
• Ensure solutions follow appropriate security, data privacy, compliance, scalability, and performance standards.
• Collaborate with stakeholders, engineering teams, product teams, and other technical teams to drive successful solution delivery.
• Identify technical risks and provide practical solutions to improve system reliability, maintainability, and performance.

What We’re Looking For

• 11+ years of overall IT experience with 6+ years of relevant architecture experience.
• Strong hands-on experience architecting solutions using Next.js and React.
• Strong knowledge of AWS Lambda, Cognito, and DynamoDB.
• Proven experience designing scalable, secure, and high-performance systems.
• Strong understanding of application security, data privacy, and compliance requirements.
• Experience leading technical teams and driving engineering best practices.
• Strong system design, technical documentation, and architecture decision-making skills.
• Ability to understand complex business requirements and convert them into practical technical solutions.
• Excellent stakeholder management, communication, and technical leadership skills.

Job Title : Senior Data Engineer – Databricks

Experience : 14 to 20 Years

Location : HSR Layout, Bangalore

Work Mode : Hybrid – 3 Days WFO

Shift : 11:30 AM – 07:30 PM IST

Positions : 2

Notice Period : Immediate Joiners Only

Interview : 1 Technical Round + 2 Client Rounds

Role Overview :

We are looking for a Senior Data Engineer to build and lead enterprise-scale data platforms for a Switzerland-based commodity client.

The role requires a strong hands-on Data Engineering professional with expertise in Databricks, PySpark, Python, SQL, and AWS, along with technical leadership and stakeholder management experience.

Must-Have Skills :

• 14 to 20 years of Data Engineering experience
• Databricks & Apache Spark / PySpark
• Python & SQL
• AWS Cloud
• Lakehouse Architecture
• ETL / ELT & Distributed Data Processing
• Batch & Streaming Pipelines
• Data Pipeline Optimization & Data Modeling
• CDC & Incremental Processing
• Git, CI/CD & Testing
• Data Quality, Monitoring & Observability
• Technical Leadership & Stakeholder Management

Key Responsibilities :

• Design and build scalable data pipelines using Databricks, PySpark, Python, SQL, and AWS.
• Own data products from design through production.
• Develop batch / streaming pipelines and reusable ETL / ELT frameworks.
• Optimize pipelines for performance, scalability, reliability, and cost.
• Design scalable data architectures and data models.
• Implement data quality, monitoring, lineage, and CI/CD practices.
• Lead technical discussions and mentor engineering teams.
• Collaborate with business stakeholders, architects, product owners, and engineering teams.
• Remain hands-on while providing technical leadership.

Ideal Candidate :

A 14 to 20 years experienced, hands-on Data Engineering leader with strong Databricks + PySpark + AWS expertise, excellent communication, stakeholder management, and experience delivering enterprise-scale data platforms.

🔴 Super Urgent : Only Bangalore-based immediate joiners.

Role: Sales Development Representative (SDR)

Experience Required: 1–5 years

Work Location: Bangalore (Onsite)

About the Role

We are looking for a high-energy, research-driven, and results-oriented Sales Development Representative (SDR) to build a qualified sales pipeline through outbound prospecting and lead qualification.

The role involves identifying target accounts, engaging decision-makers, understanding their business and technology needs, qualifying opportunities, and scheduling qualified meetings for the Account Executive team.

Key Responsibilities

Prospecting & Outreach

• Research target accounts and identify decision-makers across startups, ISVs, mid-market, and enterprise segments.
• Execute personalized outreach through cold calls, email, LinkedIn, WhatsApp, and other channels.
• Build and manage prospect lists using tools such as LinkedIn Sales Navigator, Apollo, Clay, and CRM platforms.
• Follow structured outreach cadences and continuously improve messaging.

Lead Qualification & Pipeline

• Conduct initial discovery conversations and identify customer challenges and technology initiatives.
• Qualify opportunities around Cloud, DevOps, Managed Services, Security, Data & AI, and Generative AI.
• Schedule qualified meetings for Account Executives with clear discovery and handover notes.
• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.

CRM & Collaboration

• Maintain accurate CRM records, lead status, follow-ups, and qualification notes.
• Collaborate with Sales, Marketing, Presales, and AWS Partner teams.
• Share customer insights, objections, and market feedback.

Required Skills

• 1–5 years of experience in SDR/BDR, inside sales, or B2B technology sales.
• Experience in IT Services, Cloud, SaaS, or Technology Services is preferred.
• Strong communication, research, cold-calling, and objection-handling skills.
• Ability to engage technology decision-makers and build meaningful conversations.
• High ownership, resilience, organization, and target orientation.

Good to Have

• Experience with Apollo, Clay, HubSpot, Salesloft, Outreach, or LinkedIn Sales Navigator.
• Understanding of Cloud, AWS, DevOps, AI, Cybersecurity, or Managed Services.
• AWS Cloud Practitioner certification or willingness to pursue it.

About Comprinno

Comprinno is a leading AWS consulting partner specializing in Cloud Transformation, DevOps, Managed Services, Data Analytics, Security, and AI. We help startups and enterprises build scalable, secure, and high-performing cloud environments on AWS.

Learn more about us at: comprinno.net

We’re seeking a highly skilled, execution-focused Senior Backend Engineer(6 Months contract) with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities—

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews. 

Requirements—

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits—

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

We are seeking Senior Backend Engineers who can hack around multiple technologies and build highly scalable, low-latency, distributed systems with RESTful services. You will be responsible for developing new software products (internal) and solving complex technical challenges for scale-ups and enterprise companies. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Responsibilities—

• Writing clean, high-quality, high-performance, and maintainable code.
• Solving complex technical problems.
• Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code.
• Coordinating cross-functionally to ensure the project meets business objectives and compliance standards.
• Participating in and driving code reviews.
• Building robust, secure, and scalable microservices.
• Implementing RESTful services with a metric-driven API Gateway.
• Ensuring sub-second server response and will be responsible for implementing relational, document, key, object, or graph data stores, index stores and messaging stores as needed.
• Tracking defects and work with business owners and users to triage bugs and manage backlog
• Taking ownership to run and maintain Cloud infrastructure.
• Evaluating relevant technologies, influencing and driving architecture and design discussions.
• Architecting & designing the platform.
• Mentoring junior engineers helping them grow, performing code reviews, system monitoring & delegation.
• Writing documentation & create engineering processes.
• Working as an individual contributor.
• Helping drive KPIs with Product.
• Taking ownership of backend systems.
• Helping with unit tests & QA process.
• Scaling the engineering team.
• System scaling to hundreds of millions of users.
• Working with product managers and designs.

Requirements—

• Overall 5-10 years of experience in software development with a strong base in Golang/Java/Python and a degree in Computer Science(optional).
• Experience with Go, K8, Docker, AWS, and CI/CD.
• Experience with micro web frameworks – like Springboot, Gin/Mux.
• Experience in working with microservice architectures, Transactional systems, and Distributed environments.
• Exposure to building RESTful APIs with monitoring, fault tolerance, and metrics (with something like Hystrix).
• Experience with MySQL, and NoSQL (Cassandra, Redis, DynamoDB).
• Experience in server-side services using ElasticSearch and ESB - Camel, ActiveMQ.
• DevOps experience.
• Experience with AWS stack.
• Excellent attention to detail.
• Outstanding written and verbal communication skills.
• To be a self-starter who can work well with minimal to no guidance in a fluid environment.
• To be excited by challenges surrounding the development of highly scalable & distributed systems.
• To be agile and able to adapt quickly to changing requirements scope and priorities.
• To be experienced in working on massively large-scale data systems in production environments.
• To have led or mentored an engineering team before(optional).
• To have contributed to open-source projects.
• To have a strong drive & desire for continued growth.
• Proficiency in English.
• Experience with Web3(optional).

Benefits—

• Best-in-class salary: We hire strong talent and compensate accordingly.
• Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
• Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
• High-impact work: Build AI-first systems and products used at scale by global clients.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities—

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews. 

Requirements—

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits—

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us—

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.

Must Have Primary Skills

Data Engineering

• 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
• Strong experience designing scalable batch and streaming data pipelines on AWS.
• Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
• Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

• Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
• Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

• Strong expertise in:
• SQL (Analytical Queries, Window Functions, Stored Procedures)
• Python
• Spark / PySpark
• Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

• Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
• Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
• Strong understanding of:
• Data Modeling
• Partitioning
• File Formats
• Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

• AWS Glue
• Amazon MWAA
• Amazon EMR
• Amazon Redshift
• Amazon S3
• Amazon Athena
• AWS Glue Catalog
• Amazon Aurora PostgreSQL
• AWS Lambda
• Amazon EC2
• Amazon DynamoDB
• Amazon API Gateway
• Amazon CloudWatch
• Amazon SQS
• Amazon SNS
• Amazon EventBridge
• AWS Secrets Manager
• AWS IAM

Development Practices

• Experience with CI/CD.
• Strong knowledge of Git.
• Familiarity with Data Engineering best practices.

Soft Skills

• Strong communication skills.
• Excellent problem-solving ability.
• Stakeholder management experience.

Preferred Certification

• AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

• AWS Step Functions
• Terraform / Infrastructure as Code (IaC)
• Kafka
• Hive
• HDFS
• Other Big Data technologies
• Experience using GenAI-assisted development tools such as:
• GitHub Copilot
• Cursor
• Kiro
• Similar AI coding assistants
• ClickHouse Database
• Telecom / Mobile Network domain knowledge
• AtScale design and development
• Docker
• Kubernetes 

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 3+ years of hands-on experience
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Passionate about education? Join us at CK-12 !!

CK-12 (www.ck12.org) is on the lookout for talented, creative, and dedicated people to join our mission to provide great education to students around the world. We are looking for candidates to join our office in Bangalore.

We have a strong education platform that has served over 352+ Million users, have got over 2.88+ Billion questions answered, and have more than 350 thousand customized Flexbooks. We have embarked on an exciting journey to build an AI-powered student tutor and Teacher Assistant to build the next generation of learning platforms.

About CK-12 Foundation

CK-12’s mission is to provide free access to open-source content and technology tools that empower students as well as teachers to enhance and experiment with different learning styles, resources, levels of competence, and circumstances.

To achieve this noble and ambitious vision, we at CK-12 are challenging the traditional model of education to transform it dramatically. Technology has opened up lots of opportunities to revolutionize education for the benefit of students, teachers and parents.

We have chosen to be non-profit so that we can effectively realize our mission and do the right thing! It also provides us with the ability to experiment with big and bold ideas. CK-12 is backed by Vinod Khosla, a renowned technology venture capitalist.

At CK-12, you’ll experience the benefits of working in a dynamic, entrepreneurial, innovative and non-bureaucratic environment where you will get a lot of cool things done than you ever imagined! We are a small group of passionate folks who are determined to disrupt the current form of education.

Technology is key to scale education and we deeply believe in it. Come develop great solutions on our cloud-based (AWS) and AI-first platform delivering rich and interactive content.

Does our mission, people and technologies excite you? If the answer is YES! and you are a great technologist who will challenge status-quo (no order takers please!) by innovating, please come join us! Together, we will change the world!

Check out our latest product offerings

• Introducing Flexi 2.0
• Flexi, our AI-powered Student Tutor – https://www.flexi.org/
• AI-powered Teacher Assistant – https://www.ck12.org/pages/teacher-assistant/

Location: https://goo.gl/maps/NkA2Hr8JhtE3raWr5

Backend Engineer

Basic

● Design, maintain, and monitor infrastructure for data products

● Design and develop RESTful APIs for the data infrastructure

● Design, implement and drive adoption of new analytic technologies and solutions

● Work closely with data scientists, front end engineers and peers to gather requirements and

develop solutions

● Handle and resolve issues escalated from the production operational environment.

● Troubleshoot performance, reliability, and scalability issues.

● Excellent Problem solving skills

● A Code Craftsman that follows best software development and coding practices delivering

understandable and maintainable code with thorough unit tests coverage

Requirements

● 10+ years of development experience with Java, Scala, and/or Python

● Experience with writing and executing queries on RDBMS and NoSQL databases. Working knowledge of MongoDB, MySQL. We are not looking for a DBA.

● Experience with ElasticSearch, OpenSearch, Vector Embeddings, and large-scale search systems.

● Experience designing and operating high-throughput, low-latency backend services in production environments.

● Experience with horizontal and vertical scaling strategies, load balancing, caching, rate

limiting, and performance optimization.

● Experience identifying and resolving application bottlenecks through profiling, monitoring, and performance tuning.

● Experience in virtualization technologies and deployment frameworks (familiarity with working on UNIX shell, Jenkins.)

● Bachelors or masters degree in computer science or equivalent

Desired

● Experience working with FastAPI/Pylons Web Framework.

● Familiarity with messaging and distributed processing systems such as RabbitMQ, Kafka, SQS, or Celery.

● Experience designing systems to support millions of requests, large datasets, and high-concurrency workloads.

● Adept at AI Coding assistants, leveraging them beyond prompting. Working experience in Skill and tool development and usage in AI Coding tools.

● Experience with AWS EC2, Redshift, RDS, S3

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions for complex enterprise challenges. Operating at the intersection of data-intensive platforms and cloud-native infrastructure, the company partners with global clients to modernize their digital ecosystems. With a culture rooted in engineering excellence and pragmatic problem-solving, Euphoric Thought Technologies empowers its teams to deploy high-impact applications that serve millions of end-users across diverse industry verticals.

Role Overview:

As a Senior Python Developer based in Bangalore, you will serve as a technical anchor for our core product development initiatives. You will work closely with cross-functional teams, including product managers, frontend engineers, and DevOps specialists, to architect robust backend services that drive our platform's performance. Your daily contributions will involve translating complex business requirements into clean, maintainable code, ensuring that our systems remain resilient and efficient as we scale to meet growing user demand.

Key Responsibilities:

- Design and implement high-performance backend services using Python to ensure seamless data processing and system reliability for our enterprise clients.

- Develop and maintain RESTful APIs that facilitate smooth integration between internal microservices and external third-party platforms.

- Optimize database queries and schema designs in SQL to improve application latency and support high-concurrency environments.

- Architect and deploy cloud-native solutions on AWS, ensuring that our infrastructure remains scalable, secure, and cost-effective.

- Implement comprehensive unit and integration testing using PyTest to maintain high code quality and minimize production defects.

- Collaborate with stakeholders to refine technical specifications and mentor junior developers to foster a culture of continuous technical improvement.

Required Skillset:

- Demonstrated expertise in building and scaling production-grade applications using Python, with a deep understanding of Django and Flask frameworks.

- Proven ability to design and document RESTful APIs that adhere to industry standards for security and performance.

- Proficient in managing and optimizing complex SQL databases to support data-heavy application requirements.

- Hands-on experience in configuring and managing AWS services to support deployment pipelines and cloud infrastructure.

- Strong commitment to test-driven development, evidenced by a track record of using PyTest to ensure system stability.

- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and work effectively in a collaborative, office-based environment in Bangalore.

- Possess 6 to 9 years of professional software development experience, showcasing a consistent ability to deliver high-quality code in fast-paced environments.

About Networkers Home

Networkers Home is Bangalore's longest-running IT training institute, founded in 2007, specializing in Cisco networking, cybersecurity, and cloud certification tracks. With 45,000+ alumni placed across 800+ hiring partners and a 4.7★ Google rating, NH trains on real production infrastructure including live AWS accounts rather than simulators, preparing students for industry-recognized certifications.

Role Overview:

We are looking for a hands-on Cloud Trainer to deliver classroom and online training on AWS and Azure to students ranging from freshers to working professionals. The trainer will be responsible for curriculum delivery, live lab sessions, doubt resolution, and guiding learners toward industry certifications and job readiness.

Key Responsibilities:

• Deliver structured training sessions on AWSand/or Azure Design and conduct hands-on labs using real cloud environments, not simulators
• Prepare and update training material, presentations, and lab exercises aligned with current certification blueprints
• Mentor students through certification prep (AWS/Azure exams) and real-world project work
• Conduct assessments, mock interviews, and doubt-clearing sessions to track batch progress
• Stay current with evolving AWS/Azure services and update course content accordingly
• Coordinate with the academic and placement teams to align training outcomes with hiring partner requirements
• Support both classroom (HSR Layout campus) and online batches

Required Skills & Qualifications:

• Bachelor's degree in IT, Computer Science, or related field
• 2–5 years of experience training/teaching AWS and/or Azure (corporate training, institute training, or L&D experience preferred)
• Strong hands-on expertise in core cloud services, compute, storage, networking, IAM, and security fundamentals
• Relevant certification(s) preferred: AWS Certified Solutions Architect (Associate/Professional), AWS Security Specialty, Microsoft Azure Administrator/Architect (AZ-104/305), or equivalent
• Excellent communication and presentation skills, ability to simplify complex cloud concepts for learners at different levels
• Prior experience in an EdTech or training institute environment is a strong plus
• Familiarity with DevOps tools/concepts is an added advantage What We Offer
• Opportunity to train learners on real production-grade cloud infrastructure
• Access to NH's established network of 800+ hiring partners for placement collaboration
• Growth path within a founder-led, 18-year-old training institute 

As a Senior Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability.

Must have skills:

● Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar Agentic AI frameworks.

● Python: Good exposure to Python (Pandas, NumPy, FastAPI, advanced Python concepts).

● AWS Bedrock: Hands-on experience with AWS Bedrock and foundation models such as Claude Haiku and Claude Sonnet.

● LLM & GenAI: Hands-on experience in developing RAG pipelines, Prompt Engineering, and LLM-based GenAI applications.

● ML Pipeline Architecture: Experience with Titan Embeddings, Amazon OpenSearch Vector Search, and vector-based retrieval.

● Agentic AI: Hands-on experience with Agentic AI frameworks and AWS Bedrock AgentCore for developing AI agents and workflow orchestration.

● AI Agents & Knowledge Base: Experience developing AI agents for customer query automation and Knowledge Base (KB) solutions.

● Experience with document parsing, chunking, vectorizing and re-ranking strategies.

● Guardrails & Security: Experience configuring AWS Bedrock Guardrails and implementing authentication and authorization for secure AI applications.

● AWS Services: Hands-on experience with API Gateway, Lambda, S3, IAM, CloudWatch, ECR, and SageMaker.

● Software Engineering: Experience with Git, REST APIs, and CI/CD pipelines.

● Relevant AWS certifications (e.g., AWS Certified AI Practitioner, AWS Certified Machine Learning Engineer – Associate, or AWS Certified Solutions Architect – Associate) are a plus.

Good to have skills:

● Hands-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images.

● Hands-on experience with Bedrock Agentcore

● Hands-on experience with OpenAI, Anthropic, Gemini, or other foundation models.

● Experience with Docker, Kubernetes, and MLOps practices.

● Experience with Redshift, SQL, DynamoDB, or AWS Glue.

● Exposure to model monitoring, evaluation, and observability for GenAI applications.

● Ability to work in an Agile and DevOps environment.

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable enterprise solutions and high-performance digital platforms. Operating at the intersection of complex data processing and intuitive user experience, the company serves diverse clients across the fintech and e-commerce sectors. With a culture rooted in engineering excellence and collaborative problem-solving, Euphoric Thought Technologies empowers its teams to deploy robust software that powers mission-critical business operations for a global user base.

Role Overview:

As a Full Stack Developer, you will be responsible for the end-to-end development of sophisticated web applications, bridging the gap between complex backend logic and seamless frontend interfaces. You will work closely with cross-functional product teams, designers, and stakeholders to translate business requirements into high-quality, maintainable code. Your contributions will directly influence the scalability of our platforms and the overall experience of our end-users, ensuring our systems remain performant and reliable under high traffic.

Key Responsibilities:

- Architect and implement scalable backend services using Java and Spring Boot to ensure high availability and efficient data processing for our core platforms.

- Develop responsive, user-centric frontend interfaces using React.js and TypeScript to enhance user engagement and platform accessibility.

- Design and maintain robust RESTful Webservices to facilitate seamless communication between distributed system components.

- Deploy and manage cloud-based infrastructure on AWS to optimize application performance and ensure cost-effective resource utilization.

- Collaborate with engineering teams to migrate monolithic structures into a Microservices Architecture, improving system modularity and deployment speed.

- Write complex SQL queries and manage database interactions to ensure data integrity and high-speed retrieval for business-critical reporting.

Required Skillset:

- Demonstrated proficiency in building full-stack applications using Java, Spring Boot, and React.js with 3 to 5 years of professional experience.

- Strong command over modern frontend technologies including HTML5, CSS3, JavaScript, and TypeScript to deliver polished, cross-browser compatible interfaces.

- Proven ability to design and implement Microservices Architecture and RESTful Webservices in a production environment.

- Hands-on experience with AWS services for cloud deployment, monitoring, and scaling of enterprise applications.

- Solid understanding of SQL and relational database management to support complex backend operations.

- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and work effectively in an agile, collaborative team environment.

- Ability to thrive in a fast-paced Bangalore-based office environment, demonstrating adaptability and a proactive approach to solving technical challenges.

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

Design, develop, and maintain ETL pipelines involving large-scale data.

Develop data processing and analytics applications primarily using PySpark and Python.

Build scalable and distributed data processing solutions using Apache Spark.

Develop and deploy data applications on AWS cloud.

Work with AWS services related to storage, compute, ETL, data warehousing, analytics, and streaming.

Implement distributed storage and processing solutions capable of handling high-volume datasets.

Design data processing applications with a focus on performance, scalability, reliability, and optimization.

Work with both SQL and NoSQL databases for data storage, processing, and analytics.

Write, optimize, and analyze SQL, HQL, and NoSQL queries.

Troubleshoot data pipeline and processing issues and ensure data quality and reliability.

Collaborate with data engineers, analysts, architects, and other technical teams to deliver data-driven solutions.

Job Title: Automation Engineer – Watermelon Tool 

Experience: 6–7 Years

Location: Bangalore

Work Mode: Hybrid

Notice Period: Immediate Joiners (Apply only if you can join within 15 Days)

Key Responsibilities:

Design, develop, and maintain automated test scripts using the Watermelon automation tool.

Build and enhance automation frameworks for web, API, and enterprise applications.

Analyze business and functional requirements to identify automation opportunities.

Execute automated regression, smoke, sanity, and functional test suites.

Maintain reusable automation components and improve test coverage.

Integrate automation scripts with CI/CD pipelines.

Perform root cause analysis for failed test cases and provide detailed defect reports.

Work closely with developers, business analysts, and QA teams to resolve issues.

Ensure automation standards, coding best practices, and documentation are followed.

Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.

Required Skills:

5–10 years of experience in Automation Testing.

Strong hands-on experience with the Watermelon automation tool (mandatory).

Experience in test automation framework development and maintenance.

Knowledge of API testing and automation.

Experience with SQL for database validation.

Familiarity with Git or other version control systems.

Experience with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI.

Strong understanding of SDLC, STLC, and Agile methodologies.

Excellent debugging, analytical, and problem-solving skills.

Good verbal and written communication skills.

Preferred Skills:

Experience with Selenium, Playwright, Cypress, or similar automation tools.

Knowledge of Java, Python, or JavaScript for automation scripting.

Exposure to cloud platforms such as AWS, Azure, or GCP.

Experience working in enterprise-scale automation projects.

ISTQB or equivalent testing certification is an added advantage.

Roles & Responsibilities:

Develop scalable and maintainable automation solutions.

Improve automation coverage and reduce manual testing effort.

Collaborate with stakeholders to deliver quality software releases.

Identify automation improvements and implement best practices.

Support production validation and release testing activities.

Mandatory Skills:

Watermelon Automation Tool

Test Automation

Automation Framework Development

API Testing

SQL

Git

CI/CD

Agile Methodology

Job Title : Software Development Engineer II (SDE 2) – Java or Golang (Backend)

Experience : 3+ Years

Location : Bengaluru

Working Days : 5 Days WFO

Notice Period : Immediate to 15 Days

Interview Process : 3 Client Rounds

Job Overview :

We are looking for an SDE 2 – Backend with strong hands-on experience in Java / Spring Boot or Golang to design, develop, and maintain scalable, high-performance backend applications. Candidates with experience in caching services will be highly preferred.

Mandatory Skills :

Java, Spring Boot, Golang, Gin, gRPC, REST APIs, Microservices, MySQL / PostgreSQL / Oracle, System Design, Caching, Data Structures & Algorithms, Git, CI/CD, Docker, Kubernetes, AWS / GCP.

Key Responsibilities :

• Design, develop, test, and deploy scalable backend applications and APIs.
• Develop microservices using Java / Spring Boot or Golang.
• For Golang roles, experience with Gin and gRPC is preferred.
• Work with MySQL, PostgreSQL, Oracle, or similar databases.
• Design and optimize caching solutions for application performance.
• Participate in system design and architecture discussions.
• Conduct code reviews and write unit/integration tests.
• Troubleshoot bugs and performance issues.
• Collaborate with Product, QA, and other engineering teams.
• Contribute to CI/CD, cloud, and DevOps practices.

Requirements :

• 3 to 5 years of backend development experience.
• Strong proficiency in Java / Spring / Spring Boot or Golang.
• Good understanding of REST APIs, Microservices, DSA, and System Design.
• Experience with relational databases.
• Strong debugging and problem-solving skills.
• Exposure to AWS/GCP, Docker, Kubernetes, Git, and CI/CD.
• Java candidates with end-to-end application design experience are preferred.
• Exposure to AI/ML tools or Low-Code/No-Code frameworks is a plus.

Interview Process :

Round 1 – LeetCode / Coding Round

• Data Structures & Algorithms
• Problem-solving and coding proficiency

Round 2 – System Design

• System architecture
• Scalability and performance
• API and database design
• Caching and distributed systems

Round 3 – Hiring Manager Round

• Technical depth
• Project and ownership experience
• Problem-solving approach
• Communication and collaboration
• Role and culture fit

Job Title : MLOps Engineer

Mode: Hybrid

Experience : 4 to 7 Years

Location : Hyderabad (Priority)/Bengaluru locations only

Notice Period : Immediate Joiner

Job Summary:

We are looking for a skilled and proactive ML Engineer with strong expertise in Python, Databricks, and Machine Learning model development. The ideal candidate should be proficient in building scalable data pipelines and deploying ML models, with a working knowledge of MLOps principles and tooling. This role offers an opportunity to work on impactful AI/ML initiatives in a collaborative environment.

Key Responsibilities:

• Develop and maintain machine learning pipelines for training, testing, and deploying models

• Design and implement infrastructure for managing and monitoring machine learning models

• Work with data scientists to build scalable, efficient, and automated model training and testing processes

• Collaborate with software engineers to integrate machine learning models into production systems

• Automate and optimize the deployment and scaling of machine learning models in a distributed computing environment

• Monitor and troubleshoot machine learning systems and infrastructure to ensure high availability and performance

• Develop and maintain documentation and best practices for MLOps processes and procedures.

Experience:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

• 3+ years of experience in MLOps or related field, including building and deploying machine learning models at scale

•Proficiency in programming languages such as Python, Java, and C++

•Experience with machine learning frameworks such as TensorFlow, PyTorch, and Keras

• Experience with containerization technologies such as Docker and Kubernetes

• Strong understanding of DevOps principles and practices

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud

Location - Bangalore

We are looking for a Staff Full stack Engineer with strong frontend expertise to help shape, scale, and continuously evolve our platform. In this role, you will take ownership of application architecture across the stack, drive frontend excellence, and influence engineering standards across multiple teams and products.

What You’ll Do -

• Define and evolve application architecture across frontend and backend systems, ensuring scalability, performance, and maintainability.

• Design and build modern, data-rich web applications to visualize and interact with complex industrial data.

• Take end-to-end ownership of critical features across the stack from discovery to release and observability.

• Drive frontend architecture, component design, performance optimization, and technical quality across teams.

• Contribute to backend services, APIs, and data integration layers where needed.

• Establish and promote best practices in design systems, code quality, testing, and CI/CD.

• Partner with Product, Design, Backend, and Platform teams to align on architecture and delivery.

• Mentor engineers and guide teams in adopting scalable patterns and modern engineering practices.

What You’ll Bring (Must-Have) -

• 10+ years of experience in software development with strong expertise in TypeScript and JavaScript.

• Deep hands-on expertise with a modern frontend framework (Angular preferred).

• Proven experience defining and scaling frontend architecture for complex, enterprise-grade applications.

• Strong experience with Node.js and backend service development (APIs, microservices).

• Solid understanding of API design, frontend-backend integration, and state management.

• Strong experience in Object-Oriented Design, system design, and service-oriented architecture.

• Hands-on experience with testing frameworks, observability, and CI/CD practices.

• Demonstrated ability to influence technical direction and drive engineering standards across teams.

Nice to Have -

• Experience with MEAN stack (Node.js, Express, MongoDB, Angular).

• Experience with microservices, event-driven architecture, or distributed systems.

• Experience with design systems, accessibility, and frontend performance optimization.

• Experience with 3D visualization libraries (e.g., WebGL, Three.js, Babylon.js).

• Experience with Docker, Kubernetes, and cloud platforms (Azure/AWS).

• Experience architecting or developing mobile applications (e.g., Flutter or similar frameworks).

• Exposure to data platforms, analytics systems, or GenAI/LLM-based applications.

As an AWS Platform Engineer – Security Specialist, you will be responsible for designing, building, and securing AWS platform infrastructure using Infrastructure as Code (IaC). You will implement cloud security controls, automate compliance, secure CI/CD pipelines, enable centralized monitoring, and collaborate with engineering teams to build highly secure cloud-native platforms.

Key Responsibilities

• Design, build, and secure AWS platform infrastructure using CloudFormation and Terraform.
• Implement and manage AWS security controls including IAM, KMS, Secrets Manager, and AWS Network Firewall.
• Build automated security guardrails and compliance checks using AWS Security Hub, AWS Config, and IAM Access Analyzer.
• Develop secure CI/CD pipelines with automated policy validation, vulnerability scanning, and artifact integrity checks.
• Implement centralized logging and monitoring using CloudWatch, GuardDuty, SIEM tools, and VPC Flow Logs.
• Collaborate with Application and DevOps teams to define secure architecture patterns, network segmentation, and Zero Trust controls.
• Conduct security assessments, risk reviews, and threat modeling for AWS workloads.
• Enforce tagging standards, data classification, and lifecycle policies across AWS resources.
• Support incident response, root cause analysis, remediation planning, and post-incident improvements.
• Prepare security documentation, runbooks, and platform security best practices.
• Integrate and manage security tools including SIEM, DLP, CASB, Cloud Proxy, and Isolation solutions.
• Provide guidance on AWS security, identity governance, and least-privilege access.
• Integrate AWS workloads with Security Operations Center (SOC) processes for real-time threat detection and incident response.

Must Have Skills

AWS Security

• 7+ years of experience in AWS Cloud Platform / Security Engineering.
• 3–5 years of hands-on experience in Cloud Security / Cybersecurity.
• Strong expertise in:
• AWS IAM
• AWS KMS
• AWS Security Hub
• Amazon GuardDuty
• AWS Config
• AWS WAF
• AWS Network Firewall
• Amazon VPC Security

Infrastructure as Code (IaC)

• CloudFormation
• Terraform
• AWS CDK

Cloud Security Fundamentals

• Zero Trust Architecture
• Least Privilege Access
• Encryption
• Data Protection
• Network Security

Automation & DevSecOps

• Python or Bash scripting
• Secure CI/CD pipelines
• Artifact scanning
• Secrets Management
• Pipeline hardening
• SIEM integration and centralized logging

Networking & Compliance

• Firewalls
• Proxies
• Network Segmentation
• DLP
• Isolation Solutions
• Compliance frameworks:
• GDPR
• HIPAA
• PCI DSS
• SOC 2

Data Protection

• Data Classification
• DLP Controls
• Encryption Strategy
• Secure Data Lifecycle Management

Soft Skills

• Strong analytical and troubleshooting skills
• Excellent communication and stakeholder management
• Cross-functional collaboration

Preferred Certification

• AWS Certified Security – Specialty

Good to Have Skills

• Multi-cloud security (AWS + Azure / GCP)
• ECS / EKS Container Security
• AWS Macie
• AWS Detective
• Advanced Data Governance
• Zero Trust implementations
• Azure AD / Okta SSO
• SOAR / Playbook Automation
• Splunk, Sumo Logic, Datadog
• Additional security certifications (CISSP, CISM, CCSP)
• SOC Operations (Tier 1/2/3)
• Security Incident Management
• Threat Intelligence
• Playbook Automation
• Incident Investigation, Containment, Recovery & Post-Incident Reviews

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions and high-performance digital infrastructure. Operating at the intersection of cloud engineering and enterprise software, the company empowers businesses to streamline their operations through robust, automated, and secure platforms. With a culture rooted in technical excellence and collaborative problem-solving, Euphoric Thought Technologies supports a diverse range of clients in optimizing their digital footprint and accelerating their time-to-market.

Role Overview:

As a Senior DevOps Engineer, you will serve as a cornerstone of our engineering team in Bangalore, taking ownership of the end-to-end reliability and scalability of our cloud environments. You will work closely with software developers, product managers, and security teams to bridge the gap between code development and production deployment. Your daily efforts will directly influence the stability of our platforms, ensuring that our infrastructure is not only resilient but also highly automated to support rapid business growth and seamless user experiences.

Key Responsibilities:

- Architect and maintain highly available CI/CD pipelines to accelerate software delivery cycles and ensure consistent deployment quality across environments.

- Manage and scale containerized applications using Kubernetes and Docker to optimize resource utilization and application performance.

- Implement Infrastructure as Code (IaC) using Terraform to ensure environment consistency and enable rapid provisioning of cloud resources.

- Automate routine operational tasks and configuration management using Ansible and Python scripts to reduce manual overhead and human error.

- Monitor cloud infrastructure health and security posture within AWS to proactively identify and resolve bottlenecks or vulnerabilities.

- Collaborate with cross-functional teams to define and implement best practices for cloud-native development, ensuring high standards of security and operational excellence.

Required Skillset:

- Demonstrated expertise in managing large-scale cloud computing environments on AWS, with a deep understanding of cloud architecture and cost-optimization strategies.

- Proven ability to design and maintain complex CI/CD workflows using Jenkins, ensuring seamless integration and delivery for high-traffic applications.

- Strong proficiency in scripting and automation using Python, with a focus on building reusable tools that enhance team productivity.

- Exceptional problem-solving skills and the ability to troubleshoot complex production issues in a high-pressure, fast-paced environment.

- Strong interpersonal skills with the ability to communicate technical concepts clearly to both engineering and non-technical stakeholders.

- Ability to work effectively in a hybrid work environment, demonstrating self-discipline and a proactive approach to team collaboration.

- A minimum of 7 - 8 years of professional experience in DevOps and infrastructure engineering roles.

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

We are looking for an experienced Application Developer to design, develop, enhance, and maintain cloud-native applications on AWS. The ideal candidate should have strong experience in modern frontend development using Next.js/Express.js and TypeScript, backend development using Python, and serverless application development on AWS.

The role involves:

• Developing and maintaining frontend applications using Next.js, React, and TypeScript.
• Developing backend services using Python and serverless AWS technologies.
• Designing and implementing AWS Lambda functions.
• Developing workflows using AWS Step Functions.
• Designing and maintaining Amazon AppSync GraphQL schemas and resolvers.
• Implementing multi-tenancy across application services.
• Building reusable, scalable, and responsive frontend components.
• Integrating frontend applications with backend APIs and cloud services.
• Participating in architecture discussions and technical design reviews.
• Debugging production issues and optimizing performance.
• Collaborating with architects, DevOps, data engineering, QA, and business teams.
• Following coding standards, cloud-native best practices, and contributing to documentation and code reviews.

Must Have Skills:

Frontend Development

• Strong JavaScript / TypeScript experience
• Hands-on experience with Next.js / Express.js
• Strong React.js proficiency
• Experience with Redux (or equivalent state management libraries)
• Good knowledge of HTML5, CSS3, and Material UI
• Experience building reusable and responsive frontend components

Backend Development

• Strong Python development experience
• Experience with Python frameworks:
• FastAPI
• Flask
• Experience building RESTful APIs and backend services

AWS & Cloud Development:

Hands-on experience with serverless AWS services including:

• AWS Lambda
• AWS DynamoDB
• AWS Step Functions
• Amazon API Gateway
• Amazon AppSync
• Amazon SQS
• Amazon SNS
• Amazon S3
• Amazon Aurora PostgreSQL
• AWS Glue (Python Shell)
• Amazon Cognito
• Amazon CloudFront

Additionally:

• Experience deploying and maintaining cloud-native applications on AWS

Collaboration

Ability to work effectively with:

• Solution Architects
• DevOps Engineers
• Data Engineers
• QA Teams
• Product Owners
• Clients and Business Stakeholders

Other Qualifications

• Experience with AWS CDK
• Exposure to microservices architecture
• Knowledge of caching, queuing, and application performance optimization
• Exposure to AWS Well-Architected Framework and application security best practices
• Experience working on data-intensive applications
• Experience in effort estimation, documentation, and sprint planning
• Experience building highly scalable and high-performance cloud applications.

Key Responsibilities

• Implement enhancements and features for business users to support audit data corrections through the web application.
• Develop new features across web applications and internal systems, including frontend enhancements, forms, and dynamic content.
• Manage databases to ensure data integrity and validation.
• Maintain database schemas and data linkages across systems.
• Perform unit testing of implemented solutions.
• Execute UI enhancements and navigation updates.
• Maintain existing code, contribute to documentation, and collaborate with cross-functional teams. 

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

Python

Pyspark

SQL

ETL Aws, Azure, gcp

About the Role

SwitchKart is on a mission to make technology more accessible and more sustainable — we're in the business of recommerce, giving old smartphones a second life, cutting down e-waste, and extending the lifecycle of every device we touch.

We're looking for a Senior Full Stack Developer to help us build and scale the ecosystem of platforms powering this mission — from our procurement app to our retailer app, pricing engines, and warranty systems. You'll take ownership of complex features end-to-end, mentor junior engineers, and make architectural decisions that shape how we grow.

What You'll Do

• Own Features End-to-End: Design, build, and ship full stack features across our procurement, retailer, pricing, and warranty platforms — from database schema to UI polish.

• Drive Architecture: Make key technical decisions on system design, scalability, and code structure as our ecosystem of apps grows.

• Build AI-First: Design and build systems with AI at the core — not bolted on. Think about where AI can automate, assist, or enhance the products you're building from day one.

• Build Scalable Architecture: Build and monitor a highly performant, failure-resistant platform — we take pride in doing this with a small, high-ownership team.

• Automate and Integrate: Develop tools that automate our integration processes and build data pipelines across our app ecosystem.

• Foster Technical Excellence: Champion unit and integration testing and lead meaningful code reviews across the team.

• Prototype and Validate: Create interactive prototypes to prove out technical concepts and participate in pilots for new initiatives.

• Mentor the Team: Guide junior developers through code reviews, pairing, and technical direction.

• Report Upward: Provide regular updates to management on milestones, risks, issues, and mitigation plans.

• Collaborate Cross-Functionally: Work closely with product and design to translate requirements into robust technical solutions across multiple products.

What We're Looking For

Must Have

• 4+ years of full stack development experience

• Strong proficiency in React and Node.js

• Solid experience with PostgreSQL or MySQL — schema design, query optimisation

• Experience designing and scaling production systems

• Experience deploying and managing applications on a cloud platform (AWS/GCP or similar)

• Comfortable owning a feature from concept to deployment

• Strong debugging and problem-solving skills

Good to Have

• Experience mentoring or leading junior engineers

• Track record of driving scalability and time-to-market in past cloud architecture decisions

• Exposure to CI/CD pipelines

• Experience with Docker, NoSQL databases, or distributed caching

• Experience integrating third-party REST/SOAP APIs

• Experience in a fast-moving startup environment

Why SwitchKart

• Real ownership over architecture and technical direction.

• Access to the latest AI coding agents and tools — we invest in keeping our engineers on the cutting edge.

• Work on a genuinely differentiated business with measurable impact.

• Be part of a lean team where your decisions shape the product.

• Opportunity to mentor and grow the engineering team.

About AuxoAI:

AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. What We Do We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.

We help our clients with accelerating their digital and AI journeys through:

• AI Application Development

• Data, Digital and Cloud acceleration using AI

• AI Native Product Engineering

We are seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Responsibilities:

* Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.

* Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

* Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.

* Implement data governance and security best practices to ensure compliance and data integrity.

* Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.

* Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements :

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

* 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.

* Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.

* Strong programming skills in languages such as Python, Java, or Scala.

* Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.

* Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

Design, build, and maintain end-to-end data pipelines to ingest, process, and transform data from files, streams,

APIs, and relational/non-relational databases into Snowflake.   Develop and optimize ELT/ETL pipelines using Snowflake SQL,

Snowpipe, Streams & Tasks, and cloud-native orchestration tools.   Implement scalable data models and schemas (staging, curated, and consumption layers) to support analytics and reporting use cases.   Develop transformations and business logic using SQL and Python, including Snowflake UDFs and stored procedures.   Optimize Snowflake performance and cost through query tuning, warehouse sizing, clustering, and resource management.   Integrate Snowflake with cloud storage and services across AWS and Azure (e.g., object storage, data integration, and mess

Company Overview:

Euphoric Thought Technologies is a technology-driven firm focused on building scalable data-centric platforms and intelligent software solutions. Operating at the intersection of advanced analytics and web engineering, the company empowers enterprises to derive actionable insights from complex datasets. With a culture rooted in engineering excellence and collaborative problem-solving, Euphoric Thought Technologies maintains a lean, high-impact environment where developers have the autonomy to architect solutions that drive significant business value across global markets.

Role Overview:

As a Full Stack Developer, you will be responsible for bridging the gap between sophisticated data modeling and intuitive user interfaces. You will work closely with data scientists, product managers, and backend engineers to translate complex analytical requirements into robust, high-performance web applications. This role is pivotal in ensuring that our data products are not only technically sound but also highly accessible and responsive, directly influencing how our clients interact with and interpret their business intelligence.

Key Responsibilities:

- Architect and maintain end-to-end web applications by integrating Python-based backends with dynamic React.js frontends to ensure seamless data visualization and user interaction.

- Develop and optimize RESTful APIs using Django or Flask to facilitate efficient data exchange between the server and client-side applications.

- Integrate R-based analytical models into production environments to provide real-time statistical insights for end-users.

- Deploy and manage scalable infrastructure on AWS, ensuring high availability and performance for all hosted applications.

- Collaborate with cross-functional teams to troubleshoot system bottlenecks and implement performance improvements that enhance the overall user experience.

Required Skillset:

- Demonstrated expertise in building full-stack applications using Python and React.js, with a deep understanding of state management and component lifecycle.

- Strong proficiency in backend development using Django or Flask, including database schema design and API security best practices.

- Hands-on experience managing cloud infrastructure on AWS, specifically regarding deployment pipelines, serverless functions, and database management.

- Exceptional analytical and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

- A minimum of 5 to 8 years of professional experience in full-stack development, demonstrating a track record of delivering high-quality software in a fast-paced, collaborative environment.

- Ability to thrive in an on-site work environment in Bangalore, contributing to team-led design sessions and rapid development cycles.

Job Title: AWS Cloud Engineer (Terraform & Monitoring Tools)

Experience: 8–10 Years

Location: Bangalore / Hyderabad

Joining: Immediate Joiners Preferred - 20 day serving

Job Description:

We are looking for an experienced AWS Cloud Engineer with 8+ years of experience in cloud infrastructure, automation, and monitoring. The ideal candidate should have strong expertise in AWS, Terraform, and at least one monitoring/observability tool such as Splunk, AppDynamics, or Grafana.

Required Skills:

• 8–10 years of IT experience with strong AWS cloud expertise
• Hands-on experience with Terraform for Infrastructure as Code (IaC)
• Experience with Splunk, AppDynamics, or Grafana (any one mandatory)
• Knowledge of cloud monitoring, logging, and performance optimization
• Experience with CI/CD pipelines and cloud infrastructure automation
• Strong troubleshooting, analytical, and communication skills

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed. We are passionate about our customers and obsessed with problem-solving to make products smarter, customer experiences frictionless, processes autonomous and businesses safer by detecting risks, threats and anomalies. Together with partners and customers, we embark on a data and AI led transformation journey that delivers impactful and measurable results.

Job Overview:

We are seeking a highly skilled DBA, AWS Database Migration & Data Engineering Consultant with strong Oracle/SQL Server expertise to lead the rehosting and modernization of enterprise databases into AWS. This role will primarily focus on Oracle/SQL Server database optimization, transaction retention, and seamless migration continuity, especially in environments leveraging services/tools like Oracle Exadata, Oracle Data Integrator (ODI), and similar tools.

The ideal candidate combines deep experience in Oracle/SQL Server database platforms, large-scale migration strategies, and modern AWS data engineering practices, ensuring minimal downtime, data integrity, and performance optimization during migration.

Key Responsibilities:

• Lead end-to-end SQL Server database migration from on-prem (including Exadata) to AWS platforms such as Amazon RDS, EC2, and Aurora PostgreSQL-compatible environments.
• Ensure transaction continuity, CDC-based replication, and minimal downtime cutovers.
• Perform Oracle database performance tuning, indexing strategies, and query optimization prior to migration.
• Design and execute schema conversion and validation strategies (Oracle to PostgreSQL/MySQL where applicable).
• Leverage AWS DMS and SCT for full load and continuous replication migrations.
• Work with ODI pipelines and existing ETL workflows, ensuring compatibility or modernization on AWS (Glue/EMR).
• Design and implement secure, highly available database architectures on AWS.
• Build and optimize data pipelines using AWS Glue, PySpark, or EMR.
• Manage S3-based data lakes and metadata using Glue Data Catalog.
• Collaborate with application, infrastructure, and analytics teams for smooth migration and post-migration stabilization.
• Implement data validation, reconciliation, and rollback mechanisms.
• Ensure compliance with security, governance, and regulatory standards (GDPR, HIPAA, etc.).

Must Have:

• 7+ years of experience in database administration and migration (SQL Server, Oracle, MySQL).
• Experience migrating Oracle, SQL Server, and MySQL databases to AWS (RDS, EC2, Aurora).
• Hands-on with AWS DMS and SCT for full load and CDC replication.
• Strong experience in database administration (HA, DR, backup/restore, schema conversion).
• Experience building pipelines using AWS Glue, PySpark, or Spark on EMR.
• Strong experience with S3-based data lakes and Glue Data Catalog.
• Strong SQL, Python/PySpark, and shell scripting.

Nice to Have:

• Experience with Aurora Global Database and cross-region replication.
• Familiarity with Oracle GoldenGate for real-time replication.
• Knowledge of Data Mesh architecture and cross-account data sharing in AWS.
• Experience with Redshift, Lake Formation, and modern data warehousing.
• Exposure to CI/CD pipelines for database and ETL deployments (CodePipeline, Jenkins).
• AWS Certifications (Solutions Architect Associate / Data Engineer Associate).
• Experience mentoring teams and driving knowledge transfer sessions.
• Experience with Infrastructure as Code (Terraform / CloudFormation).

Euphoric Thought Technologies is a technology-driven firm focused on building scalable software solutions that streamline complex business processes. Operating at the intersection of data engineering and cloud infrastructure, the company serves a diverse portfolio of clients across the fintech and enterprise SaaS sectors. With a culture rooted in technical excellence and agile problem-solving, Euphoric Thought Technologies empowers its engineers to own their modules from conception to deployment, fostering an environment where high-impact code is the primary driver of growth.

Role Overview:

As a Python Developer specializing in Flask, you will be responsible for architecting and maintaining robust backend services that power our core platforms. Must have hands on experience in React.js ,You will work closely with cross-functional teams, including product managers and frontend engineers, to translate business requirements into high-performance API endpoints. Your daily contributions will directly influence the scalability and reliability of our applications, ensuring that our users experience seamless performance even as our data volume and traffic continue to grow.

Key Responsibilities:

- Design and implement scalable RESTful APIs using the Flask framework to support high-traffic web applications.

- Optimize database queries and schema designs in SQL to ensure low-latency data retrieval for complex reporting modules.

- Deploy and manage backend services on AWS infrastructure, ensuring high availability and efficient resource utilization.

- Collaborate with the engineering team to conduct rigorous code reviews, maintaining high standards for code quality and maintainability.

- Troubleshoot and resolve production-level bottlenecks to improve the overall stability of the application ecosystem.

- Integrate third-party services and internal microservices to expand the functionality of our existing product suite.

Required Skillset:

- Demonstrated expertise in building production-grade applications using Python and the Flask framework with 5 years of professional experience.

- Strong proficiency in React.js.

- Hands-on experience with AWS cloud services, including EC2, RDS, and S3, for deploying and scaling backend infrastructure.

- Ability to communicate technical concepts clearly to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.

- Strong analytical mindset with the ability to debug complex issues and provide long-term architectural solutions.

- Comfortable working in a hybrid office environment in Bangalore, demonstrating the ability to manage tasks independently while staying aligned with team goals.

- A degree in Computer Science, Engineering, or a related field is preferred, though equivalent professional experience is highly valued.

Experience:

• Python: 5 years (Preferred)
• AWS: 3 years (Preferred)
• Flask: 3 years (Preferred)
• React.js 4 years (Preferred)

As an Associate Technical Architect - Data, you will lead the end-to-end design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. You will provide technical leadership across the entire project lifecycle—from solution architecture and technology selection to implementation, optimization, deployment, and production support.

The role requires deep hands-on expertise in modern AWS data engineering technologies, strong architectural skills, and the ability to mentor engineering teams while collaborating with business and technical stakeholders to deliver scalable, secure, and high-performance data solutions.

Must Have Skills:

• 8+ years of experience designing and delivering enterprise-scale Data Lake, Lakehouse, or Data Warehouse solutions on AWS.
• Proven experience leading end-to-end implementation of cloud-native data platforms, including architecture, design, development, deployment, and production support.
• Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, and Python.
• Strong hands-on experience designing and implementing Lakehouse architectures using Apache Iceberg.
• Strong knowledge of AWS services including EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, IAM, and related AWS data services.
• Experience designing and implementing scalable batch and streaming data pipelines using AWS native services.
• Strong expertise in Spark/PySpark performance tuning and optimization.
• Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance, scalability, and cost efficiency.
• Strong understanding of data modeling, distributed data processing, partitioning strategies, file formats, and Lakehouse/Data Lake architectures.
• Strong understanding of AWS architecture principles, including security, networking, disaster recovery, scalability, resiliency, and cost optimization.
• Experience designing orchestration workflows using Apache Airflow or AWS Step Functions.
• Ability to define cloud data platform architectures, evaluate technology choices, and articulate architectural trade-offs and best practices.
• Experience leading globally distributed engineering teams, mentoring developers, conducting architecture/code reviews, and driving engineering best practices.
• Excellent communication, stakeholder management, problem-solving, and technical leadership skills with the ability to translate business requirements into scalable technical solutions.
• AWS Solution Architect Associate/Professional or AWS Data Engineer Associate certification is preferred.

Good to Have Skills:

• Experience with ClickHouse, including performance tuning and query optimization.
• Experience with Infrastructure as Code using Terraform or CloudFormation.
• Experience implementing CI/CD pipelines for data engineering workloads.
• Exposure to Kafka, Hive, HDFS, or other Big Data technologies.
• Hands-on experience using GenAI-assisted development tools such as Kiro, GitHub Copilot, Cursor, or similar AI coding assistants to improve engineering productivity.
• Experience integrating with data governance and metadata management tools such as Collibra.
• Experience integrating with data virtualization platforms such as Denodo.
• Telecom/Mobile Network domain knowledge is preferred but not mandatory.

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

About the role

We’re hiring an IT Systems Administrator for an NBFC to secure endpoints, SaaS, and networks across ~50 branches, ~250+ field staff, and ~50+ office users.

This is primarily an IT Admin + Security role, with secondary exposure to AWS cloud ops + light DevOps + basic DB access management.

If you’re an IT Admin aiming to break into AWS Cloud Ops + DevOps, this role is a strong next step — you’ll own core IT/security and get hands-on exposure to cloud operations and deployments.

Key responsibilities (Primary: IT Admin + Security)

• Manage endpoint security for laptops and mobiles (policies, patching, encryption, antivirus/EDR); drive MDM implementation now/future (e.g., Intune/Jamf).
• Administer Google Workspace (Gmail/Drive/Calendar): users, groups, permissions, SSO, MFA, sharing controls.
• Own joiner–mover–leaver lifecycle: provisioning/deprovisioning, access controls, periodic access reviews.
• Secure branch connectivity: VPN, internal Wi-Fi, internet usage controls; coordinate troubleshooting and standardization across branches.
• Manage HO security stack: firewall operations, rule changes with change control, monitoring/log review (basic but consistent).
• Secure SaaS tools (CRM/HRMS/comms like Slack/Zoom): role-based access, MFA enforcement, offboarding, integration/OAuth controls.
• Maintain IT asset inventory: procurement coordination, issuance/return, audits, warranty/AMC, license renewals; remote lock/wipe for lost devices.
• Handle security incidents: phishing, account compromise, device loss/theft — contain, investigate, recover, and prevent recurrence.
• Run backups and basic DR testing; maintain SOPs/documentation and train staff on cyber hygiene.
• Provide hands-on user support: laptop builds, software installs, Outlook/Excel issues, VPN/Wi-Fi troubleshooting, escalations and vendor coordination.

Secondary responsibilities (AWS + DevOps + DB ops support)

• Support AWS administration: IAM users/roles/policies, MFA, access key hygiene, basic log review (e.g., CloudTrail).
• Manage AWS access controls: security groups/firewall rules, IP allowlists/whitelisting (admin tools, databases, vendor access).
• Assist engineering with DevOps operations:
• CI/CD support (deployment coordination, rollbacks, environment configuration)
• Secrets/credentials management and rotation (no shared creds)
• DNS + SSL/TLS certificates, basic monitoring/alerting coordination
• Bonus: Docker/Kubernetes and Terraform exposure
• Basic database operations (admin-lite):
• DB user creation, roles/permissions, least-privilege access
• IP allowlisting/whitelisting for DB access via VPN/approved sources
• Backup/restore verification coordination and basic monitoring signals (connections/storage)

Requirements

• 3+ years in IT security / systems administration (BFSI or branch-heavy org preferred).
• Hands-on with Google Workspace or Microsoft 365 administration.
• Must have hands-on experience leading or executing an email suite migration (e.g., Google Workspace ↔ Microsoft 365), including mailbox migration, DNS cutover, MX/SPF/DKIM/DMARC reconfiguration, and user transition management.
• Strong endpoint/security fundamentals: encryption, patching, AV/EDR, remote support, device compliance.
• Comfortable with networks: VPN/Wi-Fi/LAN troubleshooting; firewall basics and change discipline.
• Strong operational discipline: asset tracking, vendor management, documentation, ticketing, user communication.
• Practical AWS familiarity (IAM, access controls, logging) and ability to support DevOps workflows.

Nice to have

• Experience implementing MDM at scale (Intune/Jamf/SureMDM).
• Exposure to SOC2 / ISO27001 evidence, controls, and audit workflows.
• Scripting for automation (PowerShell/Bash/Python).
• Familiarity with managed databases and secure access patterns.

Job Title : Senior Software Development Engineer in Test (Sr. SDET)

Experience : 5 to 10 Years

Location : Bengaluru (5 Days Work From Office)

Working Days : Monday to Friday (5 Days a Week)

Notice Period : Immediate to 15 Days

Interview Process : 2 Technical Client Rounds

Role Overview :

We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.

The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.

Mandatory Skills :

Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.

Preferred Skills :

AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.

Key Responsibilities :

• Design and maintain API/backend automation frameworks.
• Perform functional, integration, regression, and end-to-end testing.
• Automate testing for microservices and event-driven architectures.
• Integrate automation into CI/CD pipelines.
• Validate asynchronous workflows using messaging systems.
• Collaborate with Development and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and improve automation best practices.

Required Skills & Qualifications :

• 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
• Hands-on experience testing Microservices-based applications.
• Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
• Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
• Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
• Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
• Experience working with Docker, Kubernetes, and containerized applications.
• Experience validating applications deployed in Ephemeral or dynamic test environments.
• Good understanding of distributed systems and backend application architecture.
• Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
• Strong understanding of software design principles, automation architecture, and test automation design patterns.

Preferred Skills :

• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
• Working knowledge of Python or Shell scripting.

At Quantiphi, you will be a key leader within our Platform Engineering team, responsible for defining and driving the architectural vision for cloud-based solutions. You will lead the design and implementation of robust pipeline infrastructure, orchestrating integration flows among upstream RPA processes, the AR tool backend, and downstream systems. You will work closely with stakeholders, cross-functional teams, and clients to ensure that solutions are scalable, secure, and aligned with business objectives.

Must have skills:

• Strong expertise in designing and architecting scalable, secure, and highly available AWS platforms using services such as API Gateway, Lambda, EC2, ECS/EKS, VPC, IAM, S3, CloudWatch, CloudTrail, ECR, SNS, SQS, EventBridge, Systems Manager (SSM), KMS, and Secrets Manager.
• Proven technical experience in designing and overseeing end-to-end platform integration architectures, orchestrating data and process flows between upstream systems, third-party applications (e.g., ERP systems such as BaaN, SAP, Oracle), internal services, and downstream consumer applications.
• Strong expertise in API architecture, including RESTful APIs, API Gateway, authentication/authorization (OAuth, JWT, API Keys), API lifecycle management, integration patterns, and secure third-party connectivity.
• Extensive experience designing AWS IAM security governance, including IAM Roles, Policies, Cross-Account Access, Permission Boundaries, Service Control Policies (SCPs), and enterprise identity and access management strategies.
• Strong experience designing AWS infrastructure using Infrastructure as Code (Terraform, AWS CloudFormation, or AWS CDK), with reusable platform modules, reference architectures, and standardized deployment frameworks.
• Expertise in designing and implementing enterprise CI/CD and DevSecOps pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or AWS CodePipeline, integrating automated testing, security scanning, and deployment governance.
• Strong knowledge of enterprise networking, including VPC architecture, Transit Gateway, Direct Connect, VPN, Load Balancers, Route 53, DNS, PrivateLink, and hybrid connectivity.
• Experience implementing enterprise monitoring and observability using Amazon CloudWatch, CloudTrail, dashboards, centralized logging, and alerting frameworks to ensure platform reliability and operational excellence.
• Proficiency in automation using Python, Bash, PowerShell, and AWS SDK (Boto3) to streamline platform operations and deployments.
• Excellent technical solution design, stakeholder management, technical leadership, documentation, and mentoring skills, with the ability to drive architecture reviews and establish engineering best practices.

Good to have skills:

• Experience designing enterprise integration platforms using event-driven and microservices architectures.
• Knowledge of AWS Organizations, Control Tower, Landing Zone, governance frameworks, and FinOps best practices.
• Experience with container platforms such as Docker, Kubernetes, Amazon ECS/EKS, and service mesh technologies.
• Familiarity with enterprise observability platforms such as Grafana, Prometheus, Datadog, Splunk, or OpenSearch.
• Experience with enterprise messaging and integration technologies such as Kafka, Amazon MSK, MQ, or EventBridge.
• Knowledge of disaster recovery, business continuity, and high-availability architecture.
• AWS Certifications such as Solutions Architect – Professional, DevOps Engineer – Professional, Security Specialty, or Advanced Networking – Specialty.
• Experience working in Agile, DevOps, and Platform Engineering environments.

🚀 We're Hiring | Java Lead | Bangalore

Are you an experienced Java Lead passionate about building scalable, cloud-native enterprise applications? We're looking for a hands-on leader with strong expertise in Java, Spring Boot, Microservices, and modern backend technologies to drive high-impact development initiatives.

📍 Location: Bangalore

💼 Employment Type: Contract to Hire (C2H)

🧑‍💻 Experience: 8+ Years

Key Responsibilities

• Design, develop, and maintain high-performance Java-based applications using modern frameworks.
• Lead the development of scalable microservices and RESTful APIs.
• Collaborate with cross-functional teams to deliver robust, secure, and high-quality software solutions.
• Build and optimize backend services with Spring Boot, Spring MVC, and Spring Security.
• Develop efficient database solutions using SQL and ORM frameworks such as Hibernate/JPA.
• Integrate messaging systems like Kafka or RabbitMQ for event-driven applications.
• Participate in architecture discussions, code reviews, and technical mentoring.
• Implement CI/CD pipelines and containerized deployments using Docker, Kubernetes, and Jenkins.
• Ensure adherence to coding standards, best practices, and Agile methodologies.

Required Skills

• Strong hands-on experience with Java 8/11/17
• Expertise in Spring Boot, Spring MVC, and Spring Security
• Strong understanding of Microservices Architecture
• Experience in developing REST APIs
• Hands-on experience with Hibernate/JPA
• Strong SQL skills with MySQL, PostgreSQL, or Oracle
• Experience with Kafka or RabbitMQ
• Proficiency with Git, Maven, and Gradle
• Experience with Docker and Kubernetes
• Exposure to AWS, Azure, or GCP
• Experience with Jenkins and CI/CD pipelines
• Strong knowledge of design patterns and data structures

Preferred Skills

• Experience with Spring WebFlux and reactive programming
• Knowledge of MongoDB or other NoSQL databases
• Familiarity with Agile/Scrum methodologies
• Experience with JUnit and Mockito for unit testing

Educational Qualification

• Bachelor's degree in Computer Science, Information Technology, or a related field.

📩 Interested candidates, please share your updated resume.

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 10 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 10 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3–8 years of overall software engineering experience.
• Minimum 3+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

Job Title: AI Developer

Location: Bangalore / Hyderabad

Experience: 5–7 Years

Notice Period: Immediate to 15 days Preferred

About the Role

We are looking for a skilled AI Developer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions that solve real-world business problems. You will work closely with data scientists, engineers, and business stakeholders to build scalable AI-powered applications and pipelines.

Key Responsibilities

• Design and develop Machine Learning models, Deep Learning architectures, and NLP solutions for production use.
• Build and maintain end-to-end ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Integrate AI/ML models into existing applications and APIs.
• Fine-tune and evaluate Large Language Models (LLMs) for business-specific use cases.
• Collaborate with data engineers to ensure high-quality training data.
• Monitor model performance in production and implement retraining strategies.
• Research and evaluate emerging AI frameworks, tools, and technologies.
• Document models, experiments, and technical decisions.
• 
  

Required Skills & Experience

• 3+ years of experience in AI/ML development.
• Strong proficiency in Python.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience with NLP frameworks such as Hugging Face, spaCy, and LangChain.
• Familiarity with LLMs and Prompt Engineering (OpenAI, Anthropic, Gemini, etc.).
• Experience deploying models using FastAPI or Flask (REST APIs).
• Strong understanding of Data Structures, Algorithms, and Statistics.
• Experience with AWS, Azure, or GCP and MLOps tools.
• Experience with Vector Databases such as Pinecone, Weaviate, or FAISS is an added advantage.

AWS Delivery Lead

Location: Mumbai / Bangalore / Gurgaon / Hyderabad 

Role Summary 

The AWS Practice Lead is a senior technical leader responsible for driving AWS architecture, delivery excellence, customer engagement, and practice growth at AuxoAI. This role involves designing enterprise-scale cloud and AI solutions, leading cross-functional teams, and working closely with AWS stakeholders to position AuxoAI as a leading Enterprise AI and Cloud Transformation partner. 

Key Responsibilities 

1. Technical Leadership 

• Define and drive AWS architecture strategy across engagements 
• Design scalable, secure, resilient, and cost-effective solutions 
• Establish architecture standards, governance, and best practices 
• Lead architecture reviews and provide oversight on complex programs 

2. Delivery Leadership 

• Partner with delivery and account teams to ensure successful execution 
• Guide engineering teams on technical decisions and challenges 
• Ensure delivery quality aligned with AWS Well-Architected principles 
• Identify and mitigate risks across projects 

3. AWS Partnership & Customer Engagement 

• Act as the technical lead for AWS partnership initiatives 
• Collaborate with AWS teams on joint opportunities 
• Lead customer workshops, executive briefings, and solution design sessions 
• Support pre-sales, proposals, and technical presentations 

4. AI & Data Innovation 

• Lead AI/ML, Generative AI, and data analytics solutions on AWS 
• Architect modern AI applications using AWS services (e.g., Bedrock, SageMaker) 
• Advise customers on AI adoption, modernization, and data strategy 
• Drive innovations in GenAI, Agentic AI, and automation 

5. Practice Building 

• Build and mentor AWS architecture and engineering teams 
• Drive certifications and skill development 
• Create reusable frameworks, accelerators, and best practices 
• Support hiring and growth of the AWS practice 

Required Qualifications 

Experience 

• 12+ years in cloud architecture / consulting / enterprise technology 
• 5+ years of hands-on AWS architecture experience 
• Proven expertise in large-scale cloud transformation programs 
• Strong stakeholder management and consulting skills 

Technical Skills 

• AWS Core: EC2, S3, RDS, VPC, IAM, Route 53, ELB, Control Tower 
• Cloud Native & DevOps: EKS, ECS, Lambda, API Gateway, Terraform, CI/CD 
• Data & Analytics: Redshift, Glue, Athena, EMR, Kinesis 
• Security & Governance: Security Hub, GuardDuty, KMS, CloudTrail 
• AI/ML & GenAI: Bedrock, SageMaker, LLMs, RAG, vector DBs, MLOps 

Leadership Skills 

• Strong communication and executive presentation abilities 
• Experience leading workshops and influencing stakeholders 
• Proven team mentoring and leadership capabilities 
• Customer-centric mindset with strong business acumen 

Preferred Qualifications 

• AWS Certifications (Solutions Architect Professional, DevOps, ML, Security) 
• Experience with AWS Partner Network (APN) and co-sell programs 
• Multi-cloud exposure (Azure/GCP) 
• Experience delivering AI/GenAI solutions for enterprise clients 
• Exposure to regulated industries (BFSI, Healthcare, Telecom, etc.) 

Success Metrics 

• Successful delivery of strategic AWS engagements 
• Growth in AWS services revenue and customer satisfaction 
• Expansion of AWS partnerships and go-to-market initiatives 
• Increase in AWS-certified talent and reusable solution assets 
• Establishment of AuxoAI as a trusted AWS & AI transformation partner 

Job Description:

Pre-requisite skills required for a DevOps Engineer role include:

• 6+yrs exp in DevOps
• Experience working on Linux based infrastructure
• knowledge in AWS, docker, CI/CD tools
• Hands on exp in Python/shell scripting language
• hands on exp in AWS and Azure
• Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
• Excellent understanding of Ruby, Python, Perl, and Java
• Configuration and managing databases such as MySQL, Mongo
• Excellent troubleshooting
• Working knowledge of various tools, open-source technologies, and cloud services

We are seeking a Senior Android DevOps Engineer with 4+ years of specialized experience in mobile engineering pipelines. In this role, you will own, scale, and optimize our Android continuous integration and deployment (CI/CD) infrastructure. You will work closely with mobile development and QA teams to accelerate release cycles, ensure tight build security, and automate the journey from local code commit to the Google Play Store.

Key Responsibilities

1. ● Own CI/CD Infrastructure: Build, maintain, and scale robust mobile-specific CI/CD pipelines using platforms like Bitrise, GitHub Actions, or GitLab CI.
2. ● Automate Release Workflows: Design and implement end-to-end automation for Android builds (APK/AAB), test execution, and deployment using Fastlane and Gradle.
3. ● Manage Store Deployment: Oversee and automate app distribution via the Google Play Console, managing internal, closed testing, and production rollouts.
4. ● Secure Code Signing: Maintain the integrity of Android keystores, API keys, and certificates using secure secrets management tools.
5. ● Optimize Build Performance: Monitor and actively reduce build times, resolve dependency caching issues, and ensure infrastructure cost efficiency.
6. ● Quality & Observability Integration: Embed automated UI/unit testing (Espresso, Appium) and crash/performance tracking tools (Firebase Crashlytics, Sentry) directly into the pipeline.

Required Skills & Qualifications

1. ● Experience: 4+ years of dedicated experience in Mobile DevOps, Release Engineering, or Android Development with a heavy focus on infrastructure.
2. ● Build Systems: Deep, hands-on expertise with Gradle, ProGuard/R8, and the Android SDK.
3. ● Automation Tools: Advanced proficiency with Fastlane and scripting languages like Bash, Python, or Groovy.
4. ● Version Control: Solid understanding of version control best practices and Git branching strategies (e.g., Gitflow, Trunk-based development).
5. ● Problem Solving: Ability to diagnose and resolve build/environment issues independently.
6. ● Cloud & Containers: Solid understanding of Docker, cloud runners (AWS/GCP), and infrastructure as code.

Location: Mumbai (Work From Office)

About Quantiphi

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational business problems. By combining deep industry expertise, cloud and data engineering, and cutting-edge AI research, Quantiphi helps customers build smarter products, frictionless customer experiences, autonomous processes, and safer businesses.

As an Architect – Machine Learning Engineer, you will design and develop advanced machine learning models and algorithms to solve complex business problems. You will optimize and deploy these models on AWS infrastructure, ensuring scalability and reliability.

Must Have Skills

• 7+ years of hands-on experience implementing and developing cloud ML solutions on AWS.
• Strong experience with AWS SageMaker, including:
• Training Jobs
• Processing Jobs
• Batch & Real-time Inference
• Working with multiple data sources
• Strong NLP expertise:
• Deep Learning concepts (Transformers, BERT, Attention Models)
• Python
• Hugging Face Transformers
• SpaCy
• NLTK
• Stanford NLP
• NLP concepts including tokenization, embeddings, syntactic & semantic parsing, Named Entity Recognition (NER), and coreference resolution.
• Experience building Agentic AI applications:
• LangChain
• Amazon Bedrock Agents
• Autonomous task planning and multi-step reasoning
• Experience architecting AI solutions using AWS services:
• AWS Lambda
• Amazon Bedrock
• Step Functions
• S3
• API Gateway
• SageMaker
• Experience implementing Model Context Protocol (MCP) for state, memory, context window, and prompt orchestration.
• Experience integrating agentic workflows with LLMs such as:
• Titan
• Nova
• Cohere
• Claude
• Hands-on experience fine-tuning Large Language Models (LLMs), specifically Llama 2.
• Familiarity with:
• Prompt Engineering
• Tool Calling
• Vector Databases (OpenSearch, Pinecone, Elasticsearch, Bedrock Knowledge Bases)
• Context Management
• Model evaluation and optimization:
• Zero-shot/Few-shot evaluation
• Hyperparameter tuning
• Model interpretability
• Experience with workflow orchestration tools such as:
• Airflow
• AWS Step Functions
• SageMaker Pipelines
• Kubeflow
• Experience building secure, scalable APIs and integrating third-party data sources.
• Strong collaboration skills with Developers, QA, Product Managers, and cross-functional stakeholders.

Good to Have

• Experience working on EdTech use cases.
• Software development experience.

About Logikality

Logikality is building AI-powered enterprise platforms for the Financial Services, Mortgage, Title, and Banking industries. We are creating cloud-native, multi-tenant SaaS products that combine AI, workflow automation, and enterprise-grade security.

Job Description

We are seeking an experienced Site Reliability Engineer (SRE) to improve the reliability, scalability, performance, and operational excellence of cloud and hybrid infrastructure. The role focuses on automation, observability, incident management, platform operations, disaster recovery, and system reliability across mission-critical applications.

Key Responsibilities

• Manage and optimize cloud infrastructure and application platforms on AWS.
• Build and maintain monitoring, alerting, and observability solutions using CloudWatch, Prometheus, Grafana, and ELK.
• Automate infrastructure provisioning, configuration management, and operational tasks using Python, Bash, Ansible, and AWS services.
• Improve platform reliability, availability, scalability, and performance.
• Support incident response, root cause analysis, and problem management.
• Implement backup, disaster recovery, and business continuity solutions.
• Ensure system security, compliance, and operational best practices.
• Collaborate with development, infrastructure, networking, and security teams to enhance platform stability.
• Drive continuous improvement through automation, operational excellence, and reliability engineering practices.

Required Skills

• Strong experience in Site Reliability Engineering, or DevOps
• Hands-on AWS experience (EC2, VPC, IAM, EBS, S3, CloudWatch).
• Scripting experience with Python and Bash.
• Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, ELK).
• Configuration management experience (Ansible, AWS SSM).
• Knowledge of backup, disaster recovery, and high-availability architectures.
• Experience supporting production environments and incident management.
• Experience with cloud migrations and infrastructure modernization.
• Financial Services domain experience.
• Experience supporting large-scale enterprise environments.
• AWS certifications (Solutions Architect, SysOps Administrator, DevOps Engineer).
• Strong problem-solving and troubleshooting abilities.
• Excellent communication and collaboration skills.
• Ability to perform effectively during incidents and critical situations.
• Ownership mindset with a focus on reliability and operational excellence.

Why Join Logikality

• Opportunity to build a platform from an early stage
• Direct exposure to leadership and product strategy
• Work on cutting-edge AI and enterprise automation products
• Significant growth opportunities for high performers

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

MathonGo is looking for a Backend Developer to build and maintain scalable systems for our learning platforms.

Responsibilities

• Develop and maintain backend services using Node.js.
• Design APIs and database structures using MongoDB.
• Use Redis for caching and performance improvement.
• Deploy and manage applications on AWS.
• Fix bugs, improve performance, and ensure system reliability.
• Work closely with frontend and product teams.

Requirements

• Strong knowledge of Node.js and JavaScript.
• Experience with MongoDB and Redis.
• Understanding of REST APIs and backend architecture.
• Basic experience with AWS deployment and services.
• Familiarity with Git and debugging.
• Good problem-solving and communication skills.

Experience with high-traffic applications or ed-tech products will be an advantage.

Key Responsibilities

• Performance Testing: Design and execute large-scale strategies using Apache JMeter.
• CI/CD Integration: Embed performance testing into pipelines and automate workflows.
• Observability: Lead monitoring initiatives with Dynatrace.
• AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.
• Automation Frameworks: Build frameworks for testing, reporting, and quality gates.
• Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.
• ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.
• Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.
• Governance: Define standards, best practices, and governance.
• Leadership: Mentor engineers and provide technical leadership.
• Executive Reporting: Present findings and recommendations to stakeholders.

Observability & Monitoring

• Strong hands-on experience with Dynatrace.
• Proven use of Davis AI in production.
• Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.

Automation & AI

• Experience developing Performance Automation frameworks.
• Proficiency in Python scripting.
• Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.

Cloud & Infrastructure

• Strong experience with AWS, Azure, or GCP.
• Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.

Good-to-Have

• Experience with Gatling, k6, or LoadRunner.
• Exposure to Grafana and OpenTelemetry.
• Experience with Kubernetes Performance Tuning.
• Dynatrace certifications.
• Client-facing consulting or professional services background.

🚀 Job Title : Senior Full Stack Developer (Backend Heavy)

Experience : 8 to 15 Years

Location : Kasturi Nagar, Bengaluru (On-site)

Work Mode : 5 Days Work From Office

Employment Type : Full-Time

Notice Period : Immediate Joiners or Candidates serving notice (LWD within 15–20 days)

About the Role :

PluginHive is looking for a Senior Full Stack Developer with strong backend expertise to build and scale high-volume SaaS applications. The ideal candidate should have hands-on experience in Node.js, React.js, and AWS, with a backend-heavy profile and the ability to independently own applications from development to production.

Mandatory Skills :

Node.js, React.js, AWS, JavaScript/TypeScript, REST APIs, Microservices, SQL/NoSQL, Docker, CI/CD, System Design

Key Responsibilities :

• Develop scalable applications using Node.js and React.js.
• Design and manage cloud infrastructure on AWS.
• Own application development, deployment, production support, and scalability.
• Build REST APIs and microservices.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Troubleshoot production issues and drive performance improvements.

Requirements :

• 8 to 15 years of software development experience.
• Strong hands-on experience in Node.js, React.js, and AWS.
• Experience managing high-volume production applications.
• Strong AWS architecture and cloud ownership experience.
• Good understanding of Docker, CI/CD, databases, and system design.
• Ability to work independently and lead technical decisions.

Hiring Process :

• Round 1 : Screening Call
• Round 2 : Online Technical Interview (Coding, DSA, Project Discussion)
• Round 3 : In-Person Technical Architect Round (System Design & Problem Solving)

What We're Looking For :

We are specifically looking for engineers who :

• Have a backend-heavy Full Stack profile (not frontend-heavy).
• Have independently owned production applications.
• Have hands-on AWS architecture and infrastructure experience.
• Can manage deployments, production issues, database changes, and application scaling.
• Are capable of leading technical decisions and solving complex engineering problems.
• Have worked without relying entirely on a separate DevOps or Cloud team.

Note : Candidates who have only basic AWS knowledge or rely on a separate DevOps team for deployments and infrastructure management will not be considered.

You have strong experience supporting cloud environments within the AWS platform.

* You have hands-on experience with cloud platforms, Docker, Kubernetes, Jenkins, Terraform, Artifactory, infrastructure automation, CI/CD pipelines, monitoring, and operational support in enterprise environments.

* You have hands-on experience with infrastructure automation, scripting, and configuration management.

* You understand monitoring, logging, alerting, and incident management practices in cloud operations.

* You have experience working with containers, orchestration platforms, and deployment pipelines.

* You are comfortable supporting Linux and/or Windows server environments in cloud-based ecosystems.

* You understand identity and access management, security controls, patching, and operational compliance practices.

* You have experience with disaster recovery, backup processes, and platform resilience planning.

* You have the technical depth required to support and guide Cloud Operations activities while contributing to the overall effectiveness of the function from the India side.

You have experience supporting DevOps or Site Reliability Engineering practices.

* You have exposure to cost management and cloud optimization tools.

* You are comfortable presenting operational updates, recommendations, and risk considerations to stakeholders.

* You work well in team-based environments and contribute to shared goals.

* You have effective documentation skills for processes, runbooks, and support knowledge.

* You have experience working in regulated or enterprise-scale environments.

* You have familiarity with service management tools and structured change management processes.

* You demonstrate the potential to take on broader operational ownership and support the leadership of the Cloud Operations function from the India side.

* You are comfortable coordinating with multiple stakeholders and contributing to operational decision-making in a global delivery model.

Job Summary

We are looking for a skilled Windows Administrator with hands-on experience in cloud technologies to manage, maintain, and optimize Windows server environments across on-premises and cloud infrastructure. The ideal candidate should have strong expertise in Windows Server administration, Active Directory, virtualization, cloud platforms, and infrastructure automation.

Key Responsibilities

• Install, configure, and maintain Windows Server environments.
• Manage Active Directory, Group Policy, DNS, DHCP, and IIS.
• Administer Microsoft 365 and Azure Active Directory (Entra ID).
• Deploy, manage, and monitor cloud infrastructure on Microsoft Azure (AWS knowledge is an added advantage).
• Perform server patching, upgrades, and security hardening.
• Monitor server performance, availability, and system health.
• Configure and manage virtual environments using VMware or Hyper-V.
• Implement backup, disaster recovery, and business continuity solutions.
• Troubleshoot Windows OS, server, networking, and cloud-related issues.
• Automate routine administrative tasks using PowerShell.
• Manage storage, file servers, and permissions.
• Collaborate with infrastructure, security, and application teams for project implementation.
• Maintain technical documentation, SOPs, and operational procedures.

Required Skills

• Strong experience with Windows Server 2016/2019/2022.
• Hands-on experience with Active Directory, DNS, DHCP, Group Policy, and IIS.
• Experience with Microsoft Azure, Azure Virtual Machines, Azure Storage, Azure Networking, and Entra ID.
• Knowledge of Microsoft 365 administration.
• Good understanding of VMware or Hyper-V virtualization.
• Experience with PowerShell scripting and automation.
• Knowledge of Windows security, patch management, and endpoint management.
• Understanding of networking concepts (TCP/IP, VPN, Firewall, Load Balancer).
• Familiarity with monitoring tools and backup solutions.

Preferred Skills

• Experience with AWS is an advantage.