50+ AWS (Amazon Web Services) Jobs in India

About us

EDMO is an AI-powered company that provides enrollment-centric solutions to universities,

colleges, and higher education institutions. By streamlining repetitive tasks—such as document verification, transcript evaluation, SOP/essay reviews, and applicant matching.

EDMO enables its clients to process student applications faster and more accurately. Its intelligent workflows

not only reduce administrative workload but also empower admission advisors to focus on personalized guidance and student engagement.

With features like AI-powered chatbots, Photo ID verification, GPA calculator, and transfer credit evaluation, EDMO ensures transparency and efficiency across the enrollment journey. Institutions using EDMO services report significant time savings, improved decision-making, and

enhanced student satisfaction.

At its core, EDMO is built to reimagine & streamline admissions—making them smarter, quicker, and more human-centric.

Website - https://goedmo.com/

Position Overview

We're seeking an exceptional Lead Software Engineer / Senior Tech Lead who can energize and guide a team of brilliant engineers while driving rapid, high-quality product development using AI and innovative technologies. The ideal candidate brings deep full-stack and backend

engineering expertise combined with strong leadership capability and a hands-on approach to architecture and delivery.

Key Responsibilities

• Lead and mentor a team of 5–8 senior engineers across AI, Salesforce, and full-stack development

• Drive technical strategy and architectural decisions — including backend, API design, and system design — for EDMO's product portfolio

• Own and evolve backend architecture using Node.js / NestJS and front-end solutions in React or Angular

• Define and implement telemetry, observability, and monitoring standards (logging,tracing, alerting) across services

• Foster a culture of innovation, continuous learning, and technical excellence

• Manage sprint planning, code reviews, and technical delivery timelines

• Collaborate closely with product management and design teams

• Guide technical hiring and team scaling decisions

• Ensure code quality, security, and performance standards

• Lead technical discussions with university clients and stakeholders

• Drive adoption of best practices, tools, and development methodologies

Required Qualifications

Experience & Leadership

• 8+ years of software development experience with 3+ years in technical leadership roles

• Must have: Proven track record of leading high-performing technical teams

• Must have: Experience energizing and motivating senior engineers to achieve exceptional results

• Experience with Agile/Scrum methodologies and DevOps practices

• Excellent communication skills with ability to translate technical concepts to non-technical stakeholders

• Experience with performance management, career development, and team building

• Strong problem-solving skills and ability to make decisions under pressure

Technical Stack — Must Have

• Node.js and NestJS — production-grade backend services, microservices, and API design

• TypeScript — Good Have

• React or Angular — front-end development and component architecture

• Backend and system architecture — designing scalable, maintainable, distributed

systems

• Telemetry & monitoring — hands-on experience with logging frameworks, distributed tracing (e.g. OpenTelemetry, Datadog, New Relic, or similar), and alerting pipelines

• Cloud platforms — GCP preferred; AWS or Azure acceptable

• Databases — PostgreSQL, MongoDB, or equivalent; Redis for caching/queuing

• CI/CD — GitHub Actions, Cloud Build, or equivalent pipelines

Additional Technical Background

• Strong background across multiple domains: AI/ML integration, web development, cloud- native architecture• Microservices patterns, API gateway design, event-driven architectures

Preferred Qualifications

• Experience in EdTech, SaaS, or B2B technology companies

• Background in AI/ML or emerging technologies

• Experience scaling engineering teams from startup to growth stage

• Knowledge of the Salesforce ecosystem and integrations

• GCP certifications or demonstrated GCP production experience (Cloud Run, Pub/Sub, BigQuery, GKE)

• Experience building and operating observability stacks (dashboards, SLOs, on-call runbooks)

• MBA or advanced degree in technology or business

• Track record of successful product launches and customer implementations

• Experience working with US-based clients and distributed teams

Leadership Philosophy We Seek

• Servant Leadership: Empowering team members to achieve their best work

• Technical Excellence: Setting high standards while maintaining development velocity

• Growth Mindset: Continuously learning and helping others grow

• Results-Oriented: Delivering measurable business outcomes through technology

• Cultural Builder: Creating an inclusive, innovative, and collaborative team environment

Growth Opportunities

• Path to VP of Engineering

• Opportunity to build and scale EDMO's India engineering organization

• Lead major strategic partnerships and technical initiatives

• Drive innovation in AI-powered educational technology

Hiring for AWS Cloud & Data Platform Engineer

Edu : BE/B.Tech

Exp: 4 - 9 yrs

Work Location : Bengaluru WFO

Notice Period : Immediate

Skills :

1. AWS Serverless Stack (hands-on) — Lambda, API Gateway, EventBridge, SNS/SQS. This is the core of the role. Must show actual build experience in project descriptions, not just "AWS" listed as a skill.

2. Infrastructure-as-Code ownership — Terraform or AWS CDK. Candidate must have personally written and deployed IaC, not just worked inside infra someone else provisioned.

3. Python or Node.js for Lambda development — Needs to be evident at the project level (what they actually built), not just listed as a language proficiency.

4. Cloud-native ETL/data pipeline experience — Specifically Lambda + Glue-based pipelines and event-driven ingestion. Traditional ETL tool backgrounds (Informatica, SSIS, Talend) don't count as equivalent here.

5. CI/CD experience with GitHub Actions, CodePipeline, or similar tools

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

Job Description for PostgreSQL Lead

Job Title: PostgreSQL Lead

Company: Mydbops

About us:

Mydbops helps fast-growing teams and unicorns run mission-critical databases with speed, scale, and reliability. Trusted by 800+ clients, including 30+ unicorns, we optimize and manage systems like MySQL, PostgreSQL, MongoDB, MariaDB, TiDB, and Cassandra, powering 10B+ transactions daily across industries such as fintech, SaaS, healthcare, logistics, and e-commerce.

With 10 years of deep expertise, we build automation tools, lead complex migrations, and solve high-impact performance and database challenges. We are ISO and PCI-DSS certified, combining engineering excellence with enterprise-grade security and compliance.

Role Overview:

As the PostgreSQL Lead, you will own the design, implementation, and operational excellence of PostgreSQL environments. You’ll lead technical decision-making, mentor the team, interface with customers, and drive key initiatives covering performance tuning, HA architectures, migrations, and cloud deployments.

Key Responsibilities:

• Lead PostgreSQL production environments: architecture, stability, performance, and scalability
• Oversee complex troubleshooting, query optimization, and performance analysis
• Architect and maintain HA/DR systems (e.g., Streaming Replication, Patroni, repmgr)
• Define backup, recovery, replication, and failover protocols
• Guide DB migrations, patches, and upgrades across environments
• Collaborate with DevOps and cloud teams for infrastructure automation
• Use monitoring (pg_stat_statements, PMM, Nagios or any monitoring stack) to proactively resolve issues
• Provide technical mentorship—conduct peer reviews, upskill, and onboard junior DBAs
• Lead customer interactions: understand requirements, design solutions, and present proposals
• Drive process improvements and establish database best practices

Requirements:

• Experience: 4-5 years in PostgreSQL administration, with at least 2+ years in a leadership role
• Performance Optimization: Expert in query tuning, indexing strategies, partitioning, and execution plan analysis.
• Extension Management: Proficient with critical PostgreSQL extensions including:
• pg_stat_statements – query performance tracking
• pg_partman – partition maintenance
• pg_repack – online table reorganization
• uuid-ossp – UUID generation
• pg_cron – native job scheduling
• auto_explain – capturing costly queries
• Backup & Recovery: Deep experience with pgBackRest, Barman, and implementing Point-in-Time Recovery (PITR).
• High Availability & Clustering: Proven expertise in configuring and managing HA environments using Patroni, repmgr, and streaming replication.
• Cloud Platforms: Strong operational knowledge of AWS RDS and Aurora PostgreSQL, including parameter tuning, snapshot management, and performance insights.
• Scripting & Automation: Skilled in Linux system administration, with advanced scripting capabilities in Bash and Python.
• Monitoring & Observability: Familiar with pg_stat_statements, PMM, Nagios, and building custom dashboards using Grafana and Prometheus.
• Leadership & Collaboration: Strong problem-solving skills, effective communication with stakeholders, and experience leading database reliability and automation initiatives.

Preferred Qualifications:

• Bachelor’s/Master’s degree in CS, Engineering, or equivalent
• PostgreSQL certifications (e.g., EDB, AWS)
• Consulting/service delivery experience in managed services or support roles
• Experience in large-scale migrations and modernization projects
• Exposure to multi-cloud environments and DBaaS platforms

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work with a dynamic and innovative team.
• Professional growth and development opportunities.
• Collaborative and inclusive work environment.

Job Details:

• Work time: General shift
• Working days: 5 Days
• Mode of Employment - Work From Home
• Experience - 4-5 years

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description – .Net Full Stack Developer

Job Title: Senior .NET Full Stack Developer

Location: Pune (3–4 Days Work from Office)

Experience: 4–8 Years

Job Summary

We are looking for a skilled and motivated Senior .NET Full Stack Developer with 4–8 years of experience in designing, developing, and deploying scalable enterprise applications. The ideal candidate should have strong expertise in .NET Core, React, and Kubernetes, with exposure to AWS being an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable web applications using .NET Core (ASP.NET Core) and React.
• Build and consume RESTful APIs and microservices.
• Develop responsive and user-friendly front-end applications using React.
• Collaborate with business stakeholders, product owners, and technical teams to gather and translate requirements into technical solutions.
• Write clean, maintainable, and high-quality code following best practices.
• Participate in code reviews, design discussions, and technical planning.
• Deploy, manage, and troubleshoot applications running on Kubernetes.
• Work closely with DevOps teams to support CI/CD pipelines and release activities.
• Optimize application performance, scalability, and reliability.
• Troubleshoot and resolve production issues and provide ongoing application support.
• Contribute to technical documentation and knowledge-sharing initiatives.

Required Skills

• 4–8 years of software development experience.
• Strong hands-on experience with C# and .NET Core / ASP.NET Core.
• Strong experience in React.js development.
• Experience building REST APIs and Microservices.
• Hands-on experience with Kubernetes.
• Experience with SQL Server or other relational databases.
• Good understanding of Git version control and CI/CD practices.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management skills.

Good to Have

• Experience with AWS services such as EC2, EKS, S3, Lambda, CloudWatch, or IAM.
• Experience with Docker and containerized application deployment.
• Exposure to Agile/Scrum development methodologies.

Preferred Background

• Experience working in BFSI, FinTech, Credit Risk, Lending, or Enterprise Product Development environments.
• Ability to work independently and mentor junior developers.

Work Model: Hybrid (3–4 days from Pune office)

Role Description

We're looking for a Principal Engineer to own the architecture and technical direction of our core platform. You'll operate at the intersection of high-scale distributed systems and fintech-grade security and compliance, turning fast-growing but increasingly complex product surfaces into resilient, extensible platforms. This is a hands-on technical leadership role: you will design and review critical systems, set engineering standards across teams, and mentor senior engineers, while staying close enough to the code to unblock the hardest problems yourself.

Key Responsibilities

• Own end-to-end architecture for high-concurrency, high-availability platform services, from design through production operability.
• Define and drive adoption of architectural patterns (event-driven microservices, multi-tenant SaaS, distributed locking/coordination) across multiple engineering teams.
• Partner with Product, Risk/Compliance, and cross-functional engineering teams (Payments, Onboarding, DevOps) to translate business goals into platform capabilities.
• Establish and champion engineering best practices: blameless post-mortems, proactive health monitoring, and structural fixes over firefighting.
• Directly mentor senior and staff-level engineers; act as a force multiplier for technical decision-making across the org.
• Drive down operational toil through automation, self-service tooling, and platform abstractions that let other teams move faster independently.
• Represent engineering in architecture reviews, technical due-diligence, and cross-org planning.

Qualifications

• 7+ years of professional software engineering experience, with a track record of owning systems at scale in production.
• Proven experience architecting and scaling backend platforms handling significant user growth (e.g., 10x-20x) or transaction volume, ideally in fintech, payments, or another regulated domain.
• Deep expertise in distributed systems design: microservices, async workflow orchestration (e.g., Temporal or equivalent), event-driven architecture, and data consistency trade-offs.
• Strong hands-on experience with at least one of Java or Python, and the ability to review and guide code across languages/stacks.
• Experience with cloud infrastructure and platform tooling (AWS, Kubernetes, Terraform, CI/CD pipelines) and observability stacks (Prometheus, Grafana, Datadog, or similar).
• Demonstrated ability to lead cross-functional engineering initiatives and mentor engineers.
• Excellent written and verbal communication; comfortable driving alignment across engineering, product, and compliance stakeholders.
• Experience working with enterprise ERP integrations (SAP, Oracle, or similar) is a plus, especially around master data sync, financial workflows.
• Hands-on experience with agentic development is required — you regularly build with and orchestrate AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot Agent Mode) as part of your day-to-day engineering workflow, not just as an occasional autocomplete tool.
• Working knowledge of ETL and data pipeline design is a plus; hands-on experience with AWS Glue is preferred. SFTP/EDI, webhooks, API gateways, batch reconciliation

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.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

As a Partner Solutions Architect, you own that documentation across all of our partnerships, not just AWS. You're given project and architecture details by the delivery team, and you turn them into the competency documentation each partner program requires, and into case studies you can explain and defend to a partner reviewer, to a prospect, to anyone asking "what did Mactores actually ship here." AI tools are fair game for drafting; the bar is on accuracy and whether it holds up under questioning. Do this well, and the natural next step is a presales architect role, taking these case studies and this partner fluency directly into prospect conversations.

What you’ll do?

• Create and maintain competency documentation across all of Mactores' partnerships AWS, Snowflake, Databricks, Anthropic, OpenAI using project and architecture details provided by the delivery team.
• Produce the technical validation write-ups, architecture diagrams, and case study documentation each partner's competency and service delivery program requires.
• Build a working command of Mactores' case studies well enough to explain them clearly the problem, the architecture, the outcome to partner reviewers, prospects, or internal stakeholders.
• Use AI tools to accelerate drafting, while owning the accuracy and review-readiness of the final document.
• Keep documentation format and quality consistent across partners and engagements.
• Flag gaps in the project details you're given when they're not sufficient to produce audit-ready documentation.
• Work against fixed deadlines tied to partner program renewal and review cycles.

What we’re looking for?

• 2–3 years of experience in technical documentation, solutions architecture, or a related role touching AWS and/or modern data/AI platforms (Snowflake, Databricks, Anthropic, OpenAI).
• Working knowledge of cloud architecture concepts enough to read a design across different platforms and document it accurately.
• Strong technical writing skills; comfortable turning raw project detail into a document that reads cleanly to an external reviewer.
• Comfortable explaining technical case studies out loud, not just writing them this role grows toward customer-facing work.
• Familiarity with diagramming tools (draw.io, Lucidchart, or similar) for architecture diagrams.
• Comfortable using AI tools as part of a documentation workflow, without leaning on them for accuracy you haven't verified.
• Detail-oriented, organized, and able to hold a deadline without supervision.

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

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.

Associate Technical Architect / Senior Software Developer – Java, J2EE, Spring Boot, AWS

At Quantiphi, you will leverage your expertise in Java, Spring Boot, and AWS to develop, modernize, and enhance enterprise applications. The role involves supporting Java application modernization initiatives, designing scalable cloud-native solutions, and delivering high-quality software for enterprise customers.

• Experience in Java application modernization, including upgrading legacy applications to newer Java LTS versions (Java 17/21/25), is preferred.
• Must have experience in developing enterprise-level software and web applications using J2EE/Spring Boot.
• Experience in API integration, application deployment, cloud architecture, and application security.
• Well-experienced in working with tools like Git, Maven, JFrog.
• Should have a solid understanding of Object-Oriented Programming (OOP).
• Well-experienced to perform Unit Testing and Integration Testing and have good experience in Agile-based development approach.
• Expertise in developing enterprise-level web applications and REST and SOAP APIs using Microservices, with demonstrable production-scale experience.
• Working knowledge of SQL or NoSQL databases.
• Understand Architecture Requirements and ensure effective design, development, validation, and support activities with strong problem-solving ability.
• Understanding of core AWS services, uses, and basic AWS architecture best practices.
• Exposure to AWS Transform Custom (ATX) or similar automated code modernization tools is an added advantage.
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications.
• Ability to identify key features of AWS services.
• Experience in developing enterprise web applications using Angular, TypeScript, and REST API integration.
• Identify bottlenecks and bugs, and recommend solutions by comparing the advantages and disadvantages of custom development.
• Should contribute to team meetings, troubleshooting development and production problems across multiple environments and operating platforms.
• Execute strong collaboration and communication skills within distributed project teams, with the ability to prioritize and multitask.

ROLE & RESPONSIBILITIES

• Associate Technical Architect will be responsible for connecting with clients for project briefing, consultation, installation, and close-out reviews.
• Support the design, development, enhancement, and modernization of enterprise Java applications, collaborating with clients and internal teams to deliver high-quality software solutions.
• Help out in managing customer demands to ensure maximum satisfaction and to maintain quality.
• Engage in the negotiation of customer job demands and specifications as regards to resources and infrastructure, and assist in creating comprehensive technical documents.
• Supervise activities between internal and external resources, and facilitate smooth workflow for service delivery.
• Evaluate project data for accuracy, and take the lead in setting project targets and priorities. Give training and mentorship to team members to make them better on the job.
• Be up to date with current field practices to enhance service standards and delivery.
• Review customer technical demands and instructions and assist the internal team and customers to identify the best order for lifts and the most efficient methods of maintaining and using delivered materials.
• Remain knowledgeable about current technology and carry out research to identify new trends that can be used to achieve maximum results.
• Carry out other technical-related duties that may be required. Be abreast of the best coding and architecting practices, ensuring the APIs are robust and easy to maintain, and coordinate with the rest of the team working on different layers of the infrastructure.

We are looking for a Python with the following experience and expertise:

• Proficiency in developing RESTful APIs using Flask, Django, or FastAPI.
• Hands-on experience with ORMs for database query mapping.
• Experience in designing, developing, and maintaining application integrations/connectors using REST APIs, SCIM, LDAP, webhooks, or similar integration technologies.
• Strong understanding of API authentication (OAuth 2.0, JWT, API Keys, Basic Auth) and integration best practices.
• Experience in writing unit test cases, ensuring code coverage, and API testing.
• Hands-on experience with Postman for API validation and testing.
• Minimum 2 years of experience working with any major cloud platform (AWS, Azure, or GCP).

Preferred:

• Experience building identity/IAM connectors or integrating enterprise applications with Identity Governance (IGA), IAM, HRMS, ERP, CRM, or SaaS platforms.

Hiring Alert – Java Full Stack with Python | Noida | FTE with Client

We are hiring for the below opportunity:

Role: Java Full Stack Developer with Python

Employment Type: Full-Time (FTE) with Client

Location: Noida

CTC: ₹30–35 LPA + 10% Variable (Maximum budget; non-negotiable)

Notice Period: Immediate joiners or candidates with up to 30 days' notice only

Mandatory Skills

• Strong experience in Java
• Full Stack development experience
• Good hands-on experience with Python
• Relevant experience in modern backend and frontend technologies

Selection Process

1. Online Assessment Test (mandatory)
2. Candidates who clear the assessment will be invited for an In-Person/Face-to-Face Interview.

Interview Date: Saturday, 8th August

Interview Location: Noida (Candidates must be available to attend in person.)

Important Notes

• Candidates must be willing to take the assessment before the interview.
• Salary expectations should be within the mentioned budget (₹30–35 LPA + 10% Variable, non-negotiable).
• Only immediate joiners or candidates serving a notice period of 30 days or less will be considered.

Please share suitable profiles after confirming:

• Current CTC
• Expected CTC (within budget)
• Notice Period
• Willingness to take the assessment
• Availability for the Face-to-Face interview in Noida on Saturday, 8th August

Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency, and low-latency requirements.

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.

Technical Expertise

• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks

and best practices.

• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or

DynamoDB.

• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-

availability system design.

• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.

• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and

design patterns.

• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment

systems.

• High-Performance Systems – Implemented solutions that handle high availability, concurrency,

and low-latency requirements.

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.

About Trendlance Innovations

Trendlance Innovations Pvt. Ltd. is a Hyderabad-based technology company building scalable digital products with real-world impact. Alongside delivering high-quality software engineering solutions, we build and own our flagship product, Fameo—a verified social platform designed for creators, professionals, and public figures to build trusted digital identities and meaningful communities.

We're building a small, ambitious engineering team where ownership, craftsmanship, continuous learning, and long-term thinking are part of our culture. If you enjoy solving challenging engineering problems and building products from the ground up, we'd love to meet you.

About the Role

We're looking for a Senior Full Stack Engineer (Backend Focus) to help build and scale the backend systems that power Fameo.

This is a backend-first role with full-stack responsibilities. You'll own APIs, data models, integrations, payment workflows, and backend architecture while contributing to our web platform whenever needed. You'll work closely with our Flutter developer, product team, QA, and founders to design, build, and ship production-ready features.

This is an opportunity to become one of the early engineers shaping both the product and the engineering culture.

What You'll Do

• Design, build, and maintain scalable backend services, APIs, and databases.
• Build and own secure payment and escrow-based transaction systems.
• Design transactional workflows with strong data consistency and concurrency handling.
• Integrate third-party services such as payment gateways, authentication, KYC/e-sign, and notifications.
• Design optimized database schemas, migrations, indexes, and queries.
• Implement secure authentication, authorization, and role-based access control.
• Build APIs consumed by our Flutter mobile application and contribute to our web platform when required.
• Write unit, integration, and end-to-end tests.
• Review code and maintain high standards for performance, scalability, security, and documentation.
• Support deployments, monitoring, debugging, and production issue resolution.
• Collaborate with product, design, and engineering teams to continuously improve the platform.

What We're Looking For

• 6–8 years of experience building and shipping production backend systems.
• Strong experience designing and developing REST APIs using modern backend technologies.
• Full-stack capability with the ability to contribute to frontend development when required.
• Experience building payment systems, financial transaction workflows, or escrow platforms.
• Strong understanding of relational database design, transactions, indexing, and performance optimization.
• Experience integrating third-party APIs and payment gateways.
• Solid understanding of authentication, authorization, API security, validation, and rate limiting.
• Experience with cloud platforms (AWS, Azure, or GCP), containerization, and scalable architectures.
• Familiarity with CI/CD pipelines, Git, automated testing, and modern development workflows.
• Experience using AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, or similar while maintaining strong engineering judgment and code quality.
• Strong communication, ownership mindset, and problem-solving skills.

Nice to Have

• Experience building backend systems for Flutter applications.
• Experience with Redis, caching, queues, and background jobs.
• Experience working in an early-stage startup or product company.
• Familiarity with microservices and distributed systems.

Why Join Trendlance?

• Build a live product used by real users.
• Work directly with the founders and influence technical decisions.
• Take ownership of meaningful engineering challenges from day one.
• Help shape the architecture, engineering culture, and future direction of the product.
• Be part of a small, collaborative team where your work has visible impact.
• Competitive compensation with meaningful long-term growth opportunities.

Location

📍 Hyderabad, Telangana (Hybrid)

Full-time

Hiring Process

1. Application Review
2. Introductory Conversation
3. Technical Discussion
4. Founder Discussion
5. Offer

Before applying, please answer the following questions in your email:

1.Tell us about one backend system or product you've personally built that you're most proud of.

What problem did it solve?

What was your individual contribution?

What technologies did you use?

2.Why do you want to join an early-stage product startup instead of an established company?

3.Are you comfortable with a hybrid work model based in Hyderabad?

4.When can you realistically join if selected?

5.Are you open to a compensation package that includes both salary and long-term equity (ESOPs)?

6.Please include links to any of the following (if available):

GitHub

Portfolio

LinkedIn

Technical blog

Open-source contributions

Include:

Your updated resume

Answers to the six questions above

Subject line:

Application – Senior Full Stack Engineer – Your Name

We personally review every application and will reach out to shortlisted candidates for the next stage of the hiring process.

If this sounds like the kind of engineering challenge you're looking for, we'd love to hear from you.

🚀 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.

Role Description

We are looking for a passionate Fullstack Engineer (SDE-2) to join our growing engineering team. This role involves building robust backend services and intuitive frontends while working closely with product and design teams. You will be hands-on across the stack, with a primary focus on Java/Spring Boot backend and React frontend development.

Key Responsibilities

• Develop, test, and maintain scalable backend services using Java, Spring Boot, PostgreSQL, Redis, and Kafka.
• Build and enhance React-based frontend applications with clean, reusable, and performant code.
• Integrate frontend and backend through well-designed REST APIs.
• Collaborate with cross-functional teams to deliver high-quality features.
• Participate in design discussions and contribute to system architecture decisions.
• Ensure applications meet performance, reliability, and security standards.
• Deploy, monitor, and optimize services on AWS cloud infrastructure.
• (Optional) Contribute to ETL pipelines and data workflows if required by projects.

Qualifications

• 3–5 years of professional software development experience.
• Strong experience with Java, Spring Boot, REST APIs.
• Hands-on knowledge of PostgreSQL, Redis, and Kafka.
• Proficiency with React.js and modern frontend practices.
• Solid understanding of data structures, algorithms, and system design fundamentals.
• Familiarity with AWS cloud services (EC2, RDS, S3, Lambda, etc.).
• Experience with Git and CI/CD workflows.

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

About Engineering at Mitratech Legal Solutions 

Mitratech's engineering organization is a collaborative and dynamic environment where engineers are empowered to drive technical direction and innovation. Our engineers are passionate about delivering high-quality products and solutions that meet the evolving needs of our customers, and we're committed to fostering a culture of continuous learning and growth. 

About the Role 

Mitratech is a fast-paced and dynamic environment, and this role requires someone who is adaptable, resilient, and able to thrive in a rapidly changing landscape. If you’re a seasoned engineer with a passion for technical leadership, innovation, and collaboration — including building the data foundations that power both reporting and AI-driven products — we’d love to hear from you. 

What You Will Do

• Drive technical direction for a significant product domain or platform capability, ensuring alignment with business objectives and customer needs 
• Design and maintain data pipelines that increasingly feed AI systems (e.g., RAG ingestion, embeddings, vector stores), not just dashboards and reports 
• Use AI-assisted engineering tools (e.g., Claude Code, Copilot, Cursor) as part of your own workflow, and help other engineers adopt them effectively 
• Reduce systemic complexity by identifying and leading architectural debt remediation, and develop strategies for ongoing technical debt management 
• Partner with Product and Engineering leadership to inform multi-quarter roadmap feasibility, and provide technical guidance and oversight to ensure successful implementation 
• Elevate engineering craft across multiple teams through RFCs, mentorship, and knowledge sharing, and develop training programs to improve engineering skills and knowledge 
• Represent Mitratech’s technical capabilities externally, including speaking at conferences, contributing to open-source projects, and engaging with industry peers and thought leaders 

 What We Are Looking For 

To be successful in this role, you will need: 

• 10+ years of experience in software engineering, with a focus on technical leadership and architecture 
• Deep understanding of data engineering principles, including data modeling, data warehousing, reporting, and data governance 
• Strong technical expertise in SQL, PostgreSQL, ETL/ELT pipelines, BI tools, and analytics platforms 
• Comfort using AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a regular part of the engineering workflow 
• Practical experience with AI/LLM-adjacent data work — e.g., RAG ingestion pipelines, embedding generation, vector store management, or applying data quality and governance practices to data consumed by AI models 
• 5+ Years of experience on Ruby on Rails, React, and modern cloud platforms such as AWS 
• Experience leading cross-functional initiatives with product, engineering, analytics, and business teams 

Nice to Have 

• Experience with a semantic or metrics layer (e.g., dbt Semantic Layer, headless BI) 
• Experience with BI, reporting, dashboards, and customer-facing analytics 
• Understanding of CI/CD, Git-based workflows, and infrastructure-as-code 

The Stack Context 

• Modern data stack: Fivetran, Airbyte, dbt, Snowflake, GitHub, Terraform, or similar tools 
• Application context: Ruby on Rails, React, or similar backend/frontend frameworks 
• Data modeling: SQL, analytics models, documentation, testing, naming standards, and version control 
• Infrastructure: cloud-based data infrastructure, infrastructure-as-code, CI/CD, monitoring, and cloud storage 
• Data workflows: ingestion, transformation, orchestration, reporting, deployment, and change management 
• Reporting focus: trusted metrics, scalable reporting models, dashboards, exports, and data quality 
• AI surface: data pipelines and quality practices supporting AI/LLM use cases (RAG, embeddings, vector stores) alongside traditional BI 

Why This Role 

This role offers a unique opportunity to drive technical direction and innovation at a rapidly growing company, while also mentoring and coaching engineers to improve their craft. As a Principal Data Engineer at Mitratech, you will have the chance to work on complex and challenging problems, collaborate with cross-functional teams, and represent the company’s technical capabilities externally. If you’re looking for a role that offers a mix of technical leadership, innovation, and collaboration, this could be the perfect fit for you. 

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

Great engineers aren’t built by watching.

They’re built by solving real problems.

At AbleCredit, interns don’t work on toy projects or isolated assignments. From your first few weeks, you’ll contribute to production systems used by enterprise customers, collaborate with experienced engineers, and learn what it takes to build reliable software at scale.

If you’re curious, enjoy building things, and want to accelerate your engineering career, we’d love to work with you.

What You’ll Build?

As an Engineering Intern, you’ll work alongside our engineering team to build and improve products used by real customers.

Depending on your interests and the team’s priorities, you’ll:

● Build backend services, APIs, and platform features.

● Develop user-facing features across our web applications.

● Work with databases, cloud services, and third-party integrations.

● Debug production issues and improve system reliability.

● Participate in code reviews and technical design discussions.

● Write clean, maintainable, and well-tested code.

● Learn how modern software is designed, built, deployed, and monitored.

Your work won’t be a demo project—it will ship to production.

What We’re Looking For?

We’re looking for people who enjoy solving problems more than collecting technologies on their résumé.

You’ll likely succeed if you:

● Are pursuing or have recently completed a Bachelor’s or Master’s degree in Computer Science or a related field.

● Have strong programming fundamentals and problem-solving skills.

● Understand data structures, algorithms, and object-oriented programming.

● Are comfortable with at least one programming language such as JavaScript, TypeScript, Python, Java, or Go.

● Understand the basics of databases, REST APIs, and Git.

● Learn quickly and enjoy exploring unfamiliar technologies.

● Communicate clearly and work well in a collaborative environment.

Bonus Points:

Experience with any of these is helpful but not required:

● Node.js, FastAPI, Spring Boot, or Django

● React and modern frontend development

● SQL and NoSQL databases

● AWS, GCP, or Azure

● Docker, Kubernetes, or CI/CD

● AI, LLMs, or workflow automation

Don’t worry if you haven’t worked with everything on this list. We care more about your ability to learn than your current toolkit.

What You’ll Learn?

During your internship, you’ll gain practical experience with:

● Building production software

● Backend engineering and API design

● Modern web application development

● Cloud infrastructure

● Distributed systems and asynchronous workflows

● Software testing and debugging

● Git-based development workflows

● Code reviews and engineering collaboration

You’ll also learn how engineering teams operate inside a fast-moving startup—from

turning ideas into products to shipping features used by customers.

Why Join AbleCredit?

You’ll join a small, high-ownership engineering team where your contributions matter from day one.

You’ll have the opportunity to:

● Build software used by real enterprise customers.

● Receive mentorship from experienced engineers.

● Learn modern engineering practices and tools.

● Work across the backend, frontend, and cloud stack.

● Take ownership of meaningful features instead of isolated tasks.

● Convert your internship into a full-time engineering role based on your

performance and available opportunities.

We Think You’ll Enjoy This Role If...

● You build side projects because you enjoy learning.

● You like understanding how systems work—not just using them.

● You’re excited to write code that reaches production.

● You ask questions, experiment, and learn quickly.

● You want an internship where you’ll build, not just observe.

We are seeking a seasoned AWS Sales professional to drive enterprise cloud revenue growth, manage strategic customer relationships, and lead large-scale cloud transformation engagements. The role demands strong experience in solution selling and a proven ability to close complex enterprise deals in cloud services.

Key Responsibilities:

• Drive end-to-end sales of Amazon Web Services solutions across enterprise and mid-market customers
• Own revenue targets and consistently achieve/exceed sales quotas
• Identify, qualify, and close large-scale cloud transformation opportunities
• Build and maintain CXO-level relationships across enterprise accounts (CIO, CTO, CDO)
• Lead complex sales cycles including RFPs, proposals, negotiations, and closures
• Collaborate with AWS solution architects and internal technical teams for solution design
• Develop territory plans, account strategies, and pipeline growth initiatives
• Drive adoption across AWS cloud services including compute, storage, networking, security, analytics, and AI/ML
• Work closely with SI/ISV/partner ecosystem for co-selling opportunities
• Monitor industry trends and competitive cloud landscape
• 
  

Required Skills & Qualifications:

• 10+ years of experience in IT / enterprise technology sales with strong cloud sales exposure
• Prior experience working with AWS or certification in AWS Sales / AWS Partner Network / AWS Partner programs
• Proven track record in selling cloud or infrastructure solutions (AWS / Azure / GCP preferred)
• Strong understanding of cloud architecture, migration strategies, and digital transformation initiatives
• Experience handling large enterprise accounts and complex, multi-stakeholder sales cycles
• Excellent negotiation, communication, and stakeholder management skills
• Strong consultative selling and solution-based sales approach
• Experience working with channel partners, SI partners, and managed service providers
• 
  

Good to have:

• AWS certifications such as AWS Cloud Practitioner, Solutions Architect, or AWS Sales Accreditation
• Exposure to BFSI, Manufacturing, Retail, Healthcare, or Technology enterprise accounts
• Proven experience in multi-million-dollar deal closures

Key Attributes:

• Strong business acumen and strategic thinking
• Highly target-driven with execution excellence
• Ability to influence senior stakeholders and CXOs
• Self-driven with strong ownership mindset

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 

Company Name: WINIT

Location: Hyderabad

Experience: 0–2 Years

Role Overview

We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.

Key Responsibilities

• Develop and deploy AI/ML models for legal document processing and automation.
• Build Python-based pipelines for data processing, automation, and model integration.
• Design and optimize SQL queries for efficient data management and reporting.
• Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
• Develop Generative AI solutions using:
• LangChain
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Implement document intelligence solutions (classification, summarization, entity extraction).
• Integrate AI models into business applications via APIs.
• Collaborate with cross-functional teams to understand automation needs.
• Ensure model performance, scalability, and data security.

Required Skills

• Strong proficiency in Python 
• Good knowledge of SQL.
• Understanding of machine learning fundamentals.
• Hands-on or conceptual knowledge of:
• LangChain
• LLMs
• RAG architectures
• Familiarity with AWS cloud platform.
• Basic understanding of NLP / text processing.

About WINIT

For more information, please visit: www.winitsoftware.com

Job Description:

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

• 3+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.

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.

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.

Job description:

Position: Senior Infrastructure & Cloud Architect

Experience: 10+ Years

Location: Bangalore (Hybrid – 3 Days WFO)

Employment Type: Contract Workforce (CW)

Payroll: Haparz

Budget: Up to 30 LPA

Role Overview

We are looking for an experienced Senior Infrastructure & Cloud Architect to assess, modernize, and optimize enterprise infrastructure environments across hybrid cloud and on-premises platforms. The ideal candidate will have extensive expertise in AWS, enterprise infrastructure, cloud transformation, and infrastructure assessments while working closely with technical teams and business stakeholders to deliver scalable, resilient, and secure infrastructure solutions.

Key Responsibilities

• Assess enterprise infrastructure environments across on-premises and AWS cloud platforms.
• Evaluate current-state infrastructure and recommend modernization roadmaps.
• Review compute, virtualization, storage, backup, disaster recovery, monitoring, and operational infrastructure.
• Analyze AWS environments for scalability, security, performance, and operational excellence.
• Assess OpenShift, Kubernetes, Kafka, and Oracle platform architectures.
• Identify infrastructure risks, resiliency gaps, technology debt, and operational improvements.
• Review infrastructure security, governance, compliance, and disaster recovery strategies.
• Collaborate with architects, infrastructure teams, operations, security, and executive stakeholders.
• Conduct infrastructure maturity assessments, gap analysis, and cloud transformation recommendations.
• Review infrastructure automation practices using Terraform, Ansible, CloudFormation, Jenkins, GitHub Actions, or similar tools.
• Prepare architecture documentation, assessment reports, and executive presentations.

Required Skills & Experience

• 10+ years of enterprise infrastructure architecture or engineering experience.
• 5+ years of hands-on AWS infrastructure experience.
• Strong expertise in hybrid cloud and enterprise infrastructure environments.
• Experience with AWS services including EC2, Auto Scaling, IAM, EBS, EFS, S3, CloudWatch, CloudTrail, Systems Manager, and AWS Backup.
• Strong understanding of VMware, Linux, Windows Server, storage, backup, and disaster recovery.
• Experience evaluating OpenShift and Kubernetes infrastructure.
• Experience assessing Kafka platform architecture and operational management.
• Knowledge of Oracle infrastructure including Data Guard, replication, backup, and disaster recovery.
• Experience with infrastructure monitoring, observability, logging, and operational support.
• Strong knowledge of infrastructure security, hardening, patch management, encryption, and compliance.
• Familiarity with Infrastructure as Code (Terraform, Ansible, CloudFormation) and CI/CD tools.
• Excellent stakeholder management, documentation, analytical, and presentation skills

Job Description – Lead Data Engineer (AWS + Big Data)

Location: Pune - Hybrid

Experience: 8+ Years

Role Overview

We are looking for a Lead Data Engineer with strong hands-on expertise in AWS-based Big Data platforms. The ideal candidate should have extensive implementation experience in designing and building scalable data pipelines, mentoring engineering teams, and driving technical delivery. Databricks exposure is mandatory, while deep implementation experience in Databricks is not essential. Candidates with HBase experience will be preferred.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on AWS.
• Build and optimize Big Data applications using Spark/PySpark, HBase, Hive, Kafka, and related technologies.
• Work with AWS services such as S3, Glue, Lambda, IAM, and CloudWatch for cloud-native data engineering.
• Lead technical implementation, mentor engineers, conduct code reviews, and drive engineering best practices.
• Ensure data quality, performance optimization, CI/CD adoption, and production support.

Required Skills

• Strong hands-on experience with AWS (S3, Glue, Lambda, IAM, CloudWatch)
• Apache Spark (PySpark/Scala) and Big Data ecosystem
• Databricks exposure (mandatory)
• HBase (strongly preferred)
• Python or Java, Advanced SQL
• ETL/ELT development and Data Warehousing concepts
• Apache Airflow or similar orchestration tools
• Git, CI/CD, Performance Tuning, and Data Quality

Good to Have

• Kafka / Spark Structured Streaming
• Hive, Impala, Hadoop ecosystem
• Delta Lake / Lakehouse concepts
• Snowflake or other modern cloud data platforms

Experience Required

• 8–14 years of Data Engineering experience with strong AWS implementation expertise.
• Proven experience leading technical delivery and mentoring engineering teams.
• Strong understanding of enterprise-scale data platforms and Big Data architectures.
• Ability to collaborate with architects, stakeholders, and cross-functional teams to deliver scalable solutions.

NOTE: Final Technical round is mandatory to be taken F2F from Pune, office.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Roles and Responsibilities: 

You’ll work closely with Goalkeep’s internal team and support client projects as needed. Your responsibilities will include: 

A. Infrastructure Maintenance & Optimization 

● Design and review data pipeline diagrams for both client and internal projects

● Build data pipelines by writing clean, efficient SQL queries for data analysis and quality checks 

● Monitor data pipeline performance and infrastructure costs, proactively resolving issues and identifying opportunities to improve reliability, efficiency, and cost-effectiveness.

● Maintain and upgrade Goalkeep’s internal tech infrastructure 

B. Tech Leadership & Team Enablement 

● Provide technical guidance, troubleshooting support, and coaching to strengthen data analysts’ skills so that they can successfully deliver on client projects 

● Create technical documentation, troubleshooting guides and reusable resources that improve team efficiency. 

● Foster a culture of curiosity, continuous learning and knowledge sharing across the team. 

C. AI-Enabled Data Engineering & Innovation 

● Explore and leverage AI tools to improve the efficiency, reliability and scalability of Goalkeep's data engineering workflows. 

● Identify opportunities to automate repetitive engineering and data quality tasks using AI-assisted approaches. 

● Work with internal teams to embed AI into engineering workflows while ensuring reliability, transparency and maintainability.

What we’re looking for:

Hard Skills 

● Data modeling and database management (PostgreSQL, MySQL, or SQL Server)

● Data engineering: writing efficient SQL, designing pipelines 

● Installing and maintaining software on Linux systems 

● Familiarity with cloud-based platforms (AWS / GCP / Azure) is a must

Soft Skills & Mindsets 

● Ability to coach others through patient communication & technical guidance.

● Curiosity and accountability when investigating system issues 

● Strong problem-solving ability with a structured and analytical approach. Preferred Qualifications: 

● Engineering degree with a minimum 4 years of experience working as a data scientist / data analyst/ data engineer 

● Bachelor's degree in any STEM field 

● Past experience in SQL (any dialect) 

● Knowledge of software engineering best practices and version control (Git)

What’s in it for you? 

1. The chance to work at the intersection of social impact and technology.

2. Shape how AI is responsibly applied to solve real-world data challenges for nonprofits.

3. Mentor and grow a technically strong team while influencing Goalkeep's engineering practices. 

4. Be part of a close-knit team passionate about using data for good.

Compensation Range: 

INR 9.0 lac – Rs. 12.0 lac per annum 

Apply here: 

https://forms.gle/eh2RDgtpWHv4f8mE6

Must-Have Skills

• Minimum 3 years of experience in Data Engineering / Analytics Engineering / Fintech Data roles
• Must have worked on SMS Parsing, intelligent platform, converting RAW customer SMS data into structured actionable financial signals and enabling downstream usage of SMS derived variables
• Must have established a continuous learning cycle to expand parser coverage
• Experience in Lending / NBFC / Fintech domain
• Experience working with Bureau, SMS, Device, or Banking data
• Strong Python and SQL (production level)
• Experience handling unstructured data (SMS, logs, JSON, APIs)
• Experience building data pipelines, schedulers, and cron jobs
• Strong database design and data modelling skills
• Ability to work in a startup environment with high ownership
• Familiarity with modern platforms like AWS, Snowflake, Google BigQuery, Redshift

Good to Have

• Experience in STPL, especially less than 25K ticket size
• Experience with streaming (Kafka/Kinesis) and orchestration (Airflow or Step Functions)
• Experience with feature stores and risk analytics datasets
• Knowledge of regex, NLP basics for SMS parsing
• Experience supporting real-time decision engines/underwriting systems

Role Summary

This role will be responsible for owning the end-to-end data-structuring layer across the organisation. The individual will transform large volumes of raw, unstructured, and semi-structured data (such as SMS, device, bureau, and app data) into clean, standardised, and analysis-ready datasets. These structured datasets will directly power risk analytics, fraud detection, marketing insights, collections strategy, and policy decisioning.

Key Objective of the Role

Ensure all raw lending data (SMS, Bureau, Device, AA, App logs) is captured, parsed, structured, and stored in a clean analytics-ready format inside databases (PostgreSQL, DynamoDB, AWS stack) so that the Risk and Data Science team can directly use it for feature creation, policy building, and portfolio monitoring.

Core Responsibilities

1. End-to-End Data Ownership

• Design, build, and maintain end-to-end data pipelines (batch + streaming) using AWS native services (Glue, Lambda, Step Functions, Kinesis, S3, Athena, Redshift, EMR/Spark, etc.): ingestion

→ parsing → structuring → storage

• Work closely with Tech, Product, and Data Science to define what data should be captured
• Maintain data documentation, data dictionaries, and schema governance
• Ensure data quality, consistency, and version control

1. Unstructured Data Processing (Highest Priority)

• Parse raw SMS dumps and categorise into salary, EMI, loan apps, collections, credits, debits, OTP, etc.
• Process device fingerprint, behavioural logs, and vendor data (FinBox, AA, Bureau APIs)
• 
  
• 
  
• Convert JSON, logs, and raw API responses into structured feature tables
• Build regex/keyword-based parsers for financial SMS classification

1. Feature Implementation (From Risk & Data Science Team)

• Implement feature creation logic provided by Risk/Data Science team
• Translate business and policy logic into SQL/Python pipelines
• Create reusable feature layers for underwriting, fraud, collections, and monitoring
• Maintain a feature store for consistent model and policy usage

1. Lending Data Understanding (Domain-Specific Requirement)

• Work with Bureau data
• Structure SMS-derived financial variables (income, stress, EMI signals)
• Work with Account Aggregator and bank transaction datasets
• Understand fintech alternate data used in underwriting and fraud detection

1. Data Pipelines & Automation

• Build and maintain ETL/ELT pipelines using Python & SQL
• Create cron jobs for automated data ingestion and feature refresh
• Automate vendor data pulls (Bureau, SMS SDK, AA, device data)
• Ensure low-latency pipelines for real-time underwriting use cases

1. Database Structuring & Storage Architecture

• Structure clean datasets in PostgreSQL (analytics layer)
• Manage raw data storage in DynamoDB / S3 data lake
• Design normalized and denormalised tables for risk analytics
• Optimise database performance for large-scale query workloads

1. Dashboards & Readable Data Layer

• Create analytics-ready datasets, implement & write Metabase queries and convert into dashboards (Metabase / Power BI)
• Enable self-serve data access for Risk, Business, and Founders
• Support ad-hoc analysis requirements from leadership

1. Cross-Functional Collaboration (Very Important)

• The role requires close collaboration with data science, tech, product, and business teams to ensure reliable data pipelines, well-defined schemas, API integrations, logging architecture and high data quality, enabling faster and more accurate decision-making across lending workflows.

Tech Stack (Current Environment)

• AWS Services
• PostgreSQL (Primary analytics DB)
• DynamoDB (Raw/NoSQL storage)
• Python (Pandas, NumPy, ETL frameworks)
• Advanced SQL
• APIs, JSON, and Log Data Handling

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.

Lightning Job By Cutshort ⚡

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)

Job Overview:

We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

Responsibilities:

• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.

• Deploy and manage Kubernetes clusters using AWS.

• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.

• Monitor system performance using Datadog, ELK, and Cloudflare tools.

• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.

• Collaborate with development teams to design, implement and test infrastructure changes.

• Troubleshoot and resolve infrastructure issues as they arise.

• Participate in on-call rotation and provide support for production issues.

Qualifications:

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

• 4+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

• Strong understanding of Linux administration and shell scripting.

• Experience with automation tools such as Terraform, Ansible, or similar.

• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.

• Experience with container orchestration platforms such as Kubernetes.

• Familiarity with container technologies such as Docker.

• Experience with cloud providers such as AWS.

• Experience with monitoring tools such as Datadog and ELK.

Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently or in a team environment.

• Strong attention to detail.

• Ability to learn and apply new technologies quickly.

• Ability to work in a fast-paced and dynamic environment.

• Strong understanding of DevOps principles and methodologies.

🚀 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.

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.

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 Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 5+ Years

Location : Gurugram, Haryana

Work Mode : On-site (Full-time)

About the Role :

We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.

Mandatory Skills :

AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux

Key Responsibilities :

• Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
• Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
• Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
• Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
• Automate operational tasks using Python, Bash, and Groovy scripting.
• Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, IT, Electronics, or a related field.
• 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
• Strong expertise in AWS, with exposure to Azure/GCP.
• Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
• Strong scripting skills in Python and Bash.
• Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
• Good understanding of Linux, networking, SQL, and cloud security best practices.

Preferred Skills :

• Experience with multi-cloud environments and DevSecOps practices.
• Knowledge of disaster recovery, automation, and microservices architecture.
• Strong troubleshooting, communication, and problem-solving skills.

About the company

The client is a US-based cybersecurity startup prevents, detects, and responds to software supply chain attacks by analyzing behavior across the full software development lifecycle for both developers and AI coding agents. They are building a vertical AI agent for supply chain security across three pillars: securing AI agents on developer machines, OSS package security, and CI/CD security, covering the entire agentic pipeline from dev environment to cloud.

About the Job

We are seeking backend engineers to build and maintain the CI/CD security platform's backend systems and components (GitHub Actions). This high-impact role involves setting best practices and owning engineering processes, with contributions used by thousands of developers globally. Our primary languages are Golang and Node.js.

Requirements

• 2–5 years of experience, strong engineering fundamentals (cyber security background not mandatory), AI-native mindset, comfortable with a hands-on zero-to-one environment. We use Golang as our primary language.
• Must-haves: Golang backend programming; AWS/Azure/GCP background; scalable/fault-tolerant system design.
• For all engineering positions, prior early-stage startup experience is a must-have requirement.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of software development principles, design patterns, and best practices.Expertise in building scalable and fault-tolerant systems.
• Strong collaborative and problem-solving skills.
• Self-motivated, creative thinker with a drive for continuous improvement.
• Experience in a startup or high-impact, outcome-driven environment.

Location

India remote. Candidates should be able to overlap a few hours with Pacific Time (PT) when working on urgent customer issues as required.

Responsibilities

• Design, develop, and maintain robust, scalable software solutions.
• Architect and implement CI/CD components (GitHub Actions).
• Deliver features incrementally in quick iterations.
• Write clean, efficient, and maintainable code following industry best practices.
• Conduct code reviews and provide constructive feedback.
• Troubleshoot and debug complex software issues promptly.

Why Join Us

• The company is at the forefront of supply chain security research and product development. They were the first to detect several major supply chain attacks in 2025 and 2026 such as the axios npm compromise, tj-actions, etc
• Their research and findings are regularly cited by major publications such as Bloomberg, TechCrunch, Hacker News, and Dark Reading. The Cybersecurity and Infrastructure Security Agency (CISA), the primary cybersecurity agency for the US federal government, has published several cybersecurity advisories citing our work
• In addition to having several enterprise customers, we have been adopted by more than 15,000 open-source projects, including projects from Microsoft, Google, Amazon, Datadog, and others.
• Engineers joining now get to work on hard, high-impact problems at the intersection of security, AI, and open source, with meaningful equity upside at an early stage.