1,233 AWS (Amazon Web Services) Jobs in Bangalore (Bengaluru) | AWS (Amazon Web Services) Job openings in Bangalore (Bengaluru)

Job Title: Forward Deployed Engineer (FDE) – Agentic AI

Location: Bangalore / Hyderabad

Experience: 8–10 Years

Job Description:

We are looking for an experienced Forward Deployed Engineer to design, build, and deploy end-to-end AI solutions. The candidate should have strong hands-on experience in Agentic AI, Python, AWS, and cloud infrastructure, along with a proven track record of mentoring team members.

Mandatory Skills: Forward Deployed Engineering (FDE), End-to-End AI Development, Python, Model Context Protocol (MCP), AWS, Terraform, Kubernetes, Docker, Agentic AI, GenAI, LLMs, and RAG.

Good to Have: Salesforce, Graph-RAG, LangSmith, Airflow, Kafka, Snowflake, and Pinecone.

Key Requirement: Strong technical expertise in end-to-end AI implementation and demonstrated experience mentoring and upskilling team members. Salesforce experience is an added advantage.

Responsibilities:

• Add a new feature to existing infrastructure platforms.
• Collaborate across teams and lead technical discussions with clients and internal teams.
• Mentor junior team members through mob-pairing/1:1 pairing sessions.
• Adapt to different roles and technologies as project needs evolve.
• Proactive mindset with excellent client communication, collaboration, and writing skills.
• Use methodologies like Agile and Lean to manage projects and deliverables.
• Document technical solutions and knowledge for team reference.
• Stay current with industry trends and emerging technologies.

Requirements:

• Experience with managing large-scale infrastructure systems.
• Experience as a reliability engineer is good.
• Proficiency in at least one programming language.
• Good understanding of software delivery principles.
• Ability to adapt to different roles and technologies when needed

Required Technical Skills:

• You have spent some time building software systems or self-service systems for internal teams.
• You have a good understanding of Linux, software-defined, and cloud networking.
• You have work experience in configuration management and using tools like Ansible and Chef.
• You must have a good understanding of continuous integration and continuous delivery concepts, not just tools.
• Experience with tools like Jenkins, GitHub Actions, GitLab CI, etc. is required.
• It would be a plus if you have worked with GitOps tools like Argo CD or Flux CD.
• You are familiar with the cloud-native ecosystem and tools like Prometheus, OpenTelemetry, and Envoy.
• In-depth understanding of containers and container orchestrators like Nomad, Kubernetes, etc.
• You should deeply understand managing and organizing infrastructure as code and have worked with tools such as Terraform, Pulumi, CloudFormation, and AWS CDK.
• You are familiar with at least one primary cloud provider, such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• You understand observability well and can collaborate with dev teams to improve their observability systems.
• You have a good understanding of the principles of distributed systems.
• You understand how SQL and NoSQL databases work and what is needed to manage them.
• You have familiarity with basic cloud security.

# Job Description: Backend Developer (Microservices)

*Company:* PublicNext (ElectReps Pvt. Ltd.)

*Location:* Bengaluru, Karnataka

*Experience:* 0–1 Year

*Employment Type:* Full-time

## About PublicNext

PublicNext is Karnataka’s hyperlocal digital news platform, delivering news and video content across the state through its website and mobile applications. We are looking for a passionate Backend Developer to join our technology team and help build scalable, high-performance backend services using a microservices architecture.

## Role Overview

As a Backend Developer, you will design, develop, test, and maintain backend microservices that power PublicNext’s web and mobile applications. This role is ideal for fresh graduates or developers with up to one year of experience who are eager to learn backend engineering, APIs, databases, and scalable system design.

## Key Responsibilities

- Develop and maintain backend microservices for PublicNext’s web and mobile applications.

- Build and integrate RESTful APIs for news feeds, articles, videos, user activity, notifications, and other platform features.

- Write clean, efficient, maintainable, and reusable code.

- Work with databases such as PostgreSQL and MongoDB.

- Implement API validation, error handling, authentication, and authorization where required.

- Debug issues, fix bugs, and improve application performance.

- Write unit tests and participate in code reviews.

- Collaborate with frontend, mobile app, QA, and DevOps teams.

- Work with Git for version control and follow established development practices.

- Learn and contribute to deploying and monitoring services in a cloud environment.

## AI-Driven Software Development

- Hands-on experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude,kiro,antigravity, opencode , or similar tools.

-Ability to leverage AI for code generation, refactoring, debugging, test creation, documentation, and code reviews.

-Proficiency in AI-assisted development workflows, including prompt engineering, context management, and iterative code refinement.

-Ability to validate AI-generated code for correctness, security, performance, and maintainability.

## Required Skills

- Strong programming fundamentals in Go (Golang) or a willingness to learn Go quickly.

- Basic understanding of REST APIs, HTTP methods, JSON, and client-server architecture.

- Familiarity with SQL and relational databases.

- Basic knowledge of data structures, algorithms, and object-oriented or structured programming.

- Familiarity with Git and GitHub/GitLab.

- Understanding of debugging, error handling, and writing modular code.

- Willingness to learn microservices architecture, caching, and distributed systems.

## Good to Have

- Academic projects or internship experience in backend development.

- Exposure to PostgreSQL, MongoDB, Redis, or message queues.

- Basic knowledge of Linux, Docker, and cloud platforms such as AWS.

- Experience building APIs or backend services for web or mobile applications.

## Education

- B.E./B.Tech in Computer Science, Information Science, IT, or a related discipline.

- BCA, MCA, or equivalent qualifications will also be considered.

- Freshers with strong programming fundamentals and practical projects are encouraged to apply.

## Who Should Apply?

- Fresh graduates interested in backend engineering.

- Developers with 0–1 year of experience who enjoy solving technical problems.

- Candidates eager to learn Go, microservices, databases, and scalable backend systems.

- Candidates who take ownership, learn quickly, and work well in a collaborative team.

Job Description

Role: Site Reliability Engineer (SRE)

Experience: 8+ Years

Location: Bangalore

Notice Period: Immediate Joiners Only

Key Responsibilities

• Implement reliability practices across applications and cloud platforms.
• Monitor and troubleshoot production systems using observability tools.
• Manage incidents, perform root cause analysis (RCA), and prepare post-incident reports.
• Develop and maintain CI/CD pipelines and automate operational tasks.
• Improve system availability, performance, scalability, and operational stability.
• Develop proof-of-concepts and convert them into production-ready solutions.
• Collaborate with engineering teams to improve reliability and reduce operational toil.
• Use AI tools responsibly to enhance operational efficiency and productivity.

Required Skills

• Strong SRE fundamentals and production support experience.
• Hands-on experience with AWS cloud services and best practices.
• Observability tools: Splunk, Grafana, and Datadog.
• Understanding of metrics, logs/events, and distributed tracing.
• Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony.
• CI/CD tools: Jenkins/Jules; source control: Git/Bitbucket.
• Scripting and automation skills are preferred.
• Experience in incident management, troubleshooting, and RCA documentation.
• Cloud certification or experience supporting cloud-based applications.
• Familiarity with AI concepts and responsible AI tool usage.

Location: Bangalore (Hybrid)

Experience: 10–15 Years

About the Role

At Twenty20 Systems, we are looking for a Solution Architect – Integration (Pre-Sales & Delivery) who can bridge the gap between business, technology, and client success.

This role is ideal for someone who combines strong integration architecture expertise with client-facing consulting, solutioning, and delivery leadership. You will play a key role in shaping client solutions, driving technical discussions, building scalable architectures, and ensuring successful delivery of enterprise integration programs.

This is a role for someone who enjoys owning the solution end-to-end — from pre-sales conversations to delivery execution.

What You’ll Do

• Lead solution architecture and technical consulting for enterprise integration opportunities.
• Work closely with sales, customers, and internal teams to understand requirements and design scalable integration solutions.
• Drive pre-sales activities including solutioning, technical proposals, architecture diagrams, effort estimation, and client presentations.
• Design and review API-led, event-driven, and iPaaS-based integration architectures across enterprise applications.
• Support delivery teams in ensuring architecture alignment, best practices, and successful implementation.
• Provide technical leadership across integration design, troubleshooting, governance, and production support.
• Partner with clients and internal stakeholders to solve business challenges through integration-led digital transformation.
• ​Mentor engineering teams and contribute to reusable frameworks, accelerators, and delivery playbooks.

What Your First 3 Months Will Look Like

• Understand our product, integration ecosystem, and customer requirements.
• Start leading client solution discussions and pre-sales technical conversations.
• Support ongoing delivery programs with architecture guidance and solution oversight.
• Build strong alignment across sales, product, engineering, and customer teams.

Where You’ll Be in 6 Months

• Leading end-to-end integration solutioning for key customer opportunities.
• Acting as a trusted technical advisor during both pre-sales and delivery stages.
• Driving architecture best practices and reusable integration frameworks.
• Contributing to business growth by enabling stronger technical solutioning and client confidence.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

Strong Application support ( L2 Support) with Observability exp

Candidate with strong experience in Linux, SQL ,ITIL & Shell scripting.

Strong exp in Monitoring tool ( Grafana/Data Dog/ Prometheus /control M)

Good experience in troubleshooting, deployment and scheduling jobs.

Strong on scripting, automation tools and techniques.

Middleware & open-source technologies -Apache, Tomcat.

Banking domain exp

Excellent Communication

Good to have Cloud/ Aws exp.

Bangalore /Pune

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.

Key Responsibilities

• Build and ship features across the frontend and backend.

• Design and implement RESTful APIs with appropriate validation and error handling.

• Write clean, maintainable, well-tested code.

• Participate in code reviews and collaborate with the engineering team.

• Use AWS services such as S3 and Lambda for file storage, serverless functions, and scheduled tasks.

• Debug production issues using Sentry and New Relic.

• Contribute to CI/CD pipelines and deployment processes

Must-Have Skills

• Strong proficiency in Go (Golang).

• Hands-on experience with Next.js and TypeScript.

• Solid understanding of PostgreSQL, including queries, schema design, and migrations.

• Experience designing and implementing REST APIs.

• Familiarity with Git and collaborative workflows, including pull requests, code reviews, and branching.

• Strong problem-solving skills and the ability to debug independently.

Good to Have

• Experience with AWS services such as S3, Lambda, EC2, and CloudWatch.

• Experience with Docker and containerized deployments.

• Familiarity with CI/CD using GitHub Actions.

• Understanding of cron jobs and background task processing.

• Experience working in a small, fast-moving team. 

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

Job Summary

We are looking for an experienced Python Developer for the position of Delivery Module Lead. The ideal candidate should have strong hands-on experience in Python programming, front-end technologies, and back-end development. The candidate will be responsible for developing scalable web applications, integrating APIs, and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python and front-end technologies.
• Collaborate with product managers, designers, and developers to understand business requirements and implement solutions.
• Develop responsive user interfaces and optimize application performance across different browsers and devices.
• Write clean, reusable, and maintainable code following development best practices.
• Conduct code reviews and ensure code quality and standards.
• Debug, troubleshoot, and resolve application issues.
• Develop and integrate RESTful APIs and web services.
• Participate in Agile development activities, including sprint planning, daily stand-ups, and retrospectives.
• Continuously improve development processes and stay updated with emerging technologies.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with HTML, CSS, and JavaScript.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Experience with back-end frameworks such as Django or Flask.
• Good understanding of RESTful APIs and web services.
• Experience with Git and version control systems.
• Strong problem-solving and analytical skills.

Preferred Skills

• Knowledge of databases such as PostgreSQL, MySQL, or MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and containerization technologies.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with Agile methodologies and project management tools.

Position: Test Engineer (Manual / Automation)

Location: Bangalore

Experience: 3-5 years

Employment Type: Full-time

About the Role

We are looking for a skilled Test  Engineer with strong experience in manual and automation testing to collaborate  QA efforts across multiple projects. The ideal candidate will drive testing strategy and ensure product quality through process excellence and automation adoption.

Key Responsibilities

·       Define and implement test strategies, plans, and quality standards.

·       Oversee test design, execution, defect tracking, and triage.

·       Drive automation and integrate testing with CI/CD pipelines.

·       Collaborate with cross-functional teams for timely, quality releases.

·       Track and report QA metrics (defect density, coverage, leakage, progress).

·       Conduct risk-based testing and prioritize critical areas.

·       Manage test data, environments, and reviews for continuous improvement.

·       Ensure best testing practices and high-quality delivery across projects.

Required Skills & Qualifications

• Bachelor’s in Computer Science, IT, or related field.
• Strong manual testing and test case design skills.
• Hands-on experience with automation tools (Selenium, Playwright, Cypress, etc.).
• API testing experience (Postman, Swagger).
• Understanding of SDLC, Agile/Scrum, and CI/CD.
• Excellent problem-solving, communication, and mentoring skills.

Good to Have

• Knowledge of performance testing tools (JMeter, LoadRunner).
• Exposure to cloud-based testing (AWS, Azure).

Why Join Us?

• Lead a high-performing QA team with real ownership.
• Build automation frameworks and influence testing strategy.
• Exposure to full SDLC and enterprise-scale applications.
• Growth path toward QA Manager / Head of QA.

Job Description:

We are looking for an experienced Senior Full Stack Engineer with strong expertise in Java, Node.js, frontend technologies, AWS cloud services, and basic AI integration.

Required Skills:

• Java, Spring Boot, Node.js
• React / Angular / Vue.js
• REST APIs, SOA, Microservices
• AWS EC2, Lambda, EKS, CloudWatch
• AWS CDK, CloudFormation
• Docker, CI/CD
• MongoDB, AWS Architecture
• Basic experience with Amazon Bedrock / AI Integration

Important Requirements:

• 7–12 years of relevant experience.
• Must be currently based in Bangalore.
• Immediate joiners or candidates serving notice up to 25 days only.
• No relocation candidates.

Job Summary 

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

• Datadog (Expert)
• OpenTelemetry
• Distributed Tracing
• Application Performance Monitoring
• AI Ops
• LangGraph/CrewAI/AutoGen/Semantic Kernel
• Python
• Azure, AWS
• Kubernetes
• ServiceNow Integration
• 
  

Enterprise Observability Strategy

• Define observability standards, governance and operating model.
• Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
• 
  

Full Stack Observability Scope

• Applications, APIs, microservices and user journeys.
• Windows, Linux, VMware, storage and infrastructure platforms.
• Azure and AWS.
• Network monitoring, SQL and NoSQL databases.
• 
  

Datadog Platform

• Deploy and optimize Datadog solutions.
• Build dashboards, monitors, alerts and observability-as-code frameworks.
• Integrate Datadog with ServiceNow, Teams and enterprise tooling.
• New Relic exposure is optional.
• 
  

AI Ops Responsibilities

• Event correlation and noise reduction.
• Predictive analytics and anomaly detection.
• Incident intelligence and root cause analytics.
• Proactive issue identification and MTTR reduction

Strong Data Engineer (AWS) Profile

2

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

3

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

4

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

5

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

6

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

7

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

8

Mandatory (Education) – B.Tech / B.E./ M.Tech

We are seeking a highly skilled Full-stack Developer to join our dynamic 

team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python 

and front-end technologies, enabling them to design, develop, and maintain robust web 

applications. This role requires a proactive individual who can collaborate effectively with 

cross-functional teams to deliver high-quality software solutions that meet business needs. 

Responsibilities: 

∙Design, develop, and maintain scalable web applications using Python and front-end 

technologies. 

∙Collaborate with product managers, designers, and other developers to define project 

requirements and deliver solutions that meet user needs. 

∙Implement responsive user interfaces and ensure optimal performance across various 

devices and browsers. 

∙Write clean, maintainable, and efficient code while adhering to best practices and 

coding standards. 

∙Conduct code reviews and provide constructive feedback to team members to enhance 

code quality. 

∙Debug and troubleshoot issues in existing applications, providing timely resolutions. 

∙Stay updated with emerging technologies and industry trends to continuously improve 

development processes. 

∙Participate in Agile development processes, including sprint planning, daily stand-

ups, and retrospectives. 

Mandatory Skills: 

∙Proficient in Python programming language. 

∙Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript. 

∙Experience with front-end frameworks like React, Angular, or Vue.js. 

∙Familiarity with back-end frameworks such as Django or Flask. 

∙Understanding of RESTful APIs and web services. 

∙Experience with version control systems, preferably Git. 

∙Strong problem-solving skills and attention to detail. 

About the Role

As a Full Stack Developer at Talentlo, you will design, build, and ship features across the entire product stack — from intuitive front-end experiences to robust back-end services. Your work will directly shape the platform that transforms how companies hire.

Apply here :(https://www.talentlo.com/jobs/full-stack-developer-talentlo-bangalore-01a1254d-071)

All applications are reviewed and processed through Talentlo. Please apply using the link above.

Responsibilities

• Design and implement scalable full-stack features using React Native, Node.js, and Python across web and mobile surfaces
• Build and maintain RESTful APIs that power seamless candidate and recruiter experiences
• Architect and optimise relational database schemas to support reliable, high-performance data access
• Collaborate with product and design teams to translate requirements into clean, maintainable code
• Write unit, integration, and end-to-end tests to ensure code quality and system reliability
• Participate actively in code reviews, contributing to engineering standards and best practices
• Troubleshoot and resolve production issues quickly, implementing lasting performance improvements
• Manage version control workflows using Git, including branching strategies and pull request reviews
• Contribute to technical documentation, architecture discussions, and sprint planning ceremonies
• Integrate third-party services and cloud infrastructure components to extend platform capabilities

Experience & qualifications

Must-have skills : React Native, Node.js and Python

Required skills : Relational Databases, REST API, Git and Full Stack Development , TypeScript and AWS

Required qualifications

Bachelor's degree in Computer Science, Engineering, or a related field — or equivalent practical experience

Preferred qualifications

Familiarity with Agile or Scrum development methodologies

Experience working in a startup or product-led engineering environment

Exposure to AI/ML integrations or data-driven product features

Opportunity. This is a rare chance to build a high-impact product from the ground up, influence the technical direction of an AI-powered hiring platform, and grow rapidly alongside a company solving a real problem at scale.

Why join us

01 Build Something That Matters Impact

Your code will directly influence how thousands of companies discover and hire talent. At Talentlo, every feature you ship has a measurable real-world effect on hiring outcomes.

02 Accelerate Your Technical Career Growth

Work across the full stack, engage with AI-driven product challenges, and grow your skills rapidly in an environment that encourages ownership and experimentation.

03 High-Ownership, Low-Bureaucracy Team Culture

Join a lean team where your ideas are heard, decisions are made quickly, and you have genuine autonomy over how you solve problems.

04 Competitive Compensation Package Compensation

We offer a market-competitive salary, performance-linked incentives, and the opportunity to share in the company's growth through an early-stage equity programme.

About Talentlo

Talentlo is an AI-powered Hiring Intelligence platform built for companies that want to make smarter, faster hiring decisions. Rather than relying solely on resumes and keyword matching, Talentlo evaluates candidate skills, experience, projects, and behavioural insights to surface the right fit for every role. The platform helps hiring teams screen candidates, rank applicants, understand candidate-job fit, and move from application to offer with confidence.

Mission & vision: Talentlo's mission is to bring intelligence to every hiring decision. The vision is a world where every company — regardless of size — has access to the same quality of hiring insight that the best teams in the world rely on.

Culture: Talentlo operates as a small, high-ownership team where engineers are trusted to make meaningful decisions. The culture values clarity over process, outcomes over activity, and continuous learning. Every team member contributes directly to the product and sees the impact of their work quickly.

About the Role

We are hiring a Backend Engineer to build and operate the services that power a leading technology marketplace being relaunched under new ownership.

You will work behind the GraphQL federation, inside the ~40 microservices that own billing, subscriptions, the catalog, RBAC, the proxy's control plane, and the Analytics/Quota services. The runtime is Node.js/TypeScript on AWS EKS, with Aurora MySQL / Postgres and DynamoDB for state, Redis / Elasticache / Couchbase for caching, Kafka (MSK) and Kinesis as the event backbone, and ClickHouse for real-time analytics reads. Every consumer-to-provider call passes through the proxy your services configure, and every dollar of marketplace revenue flows through the commerce code your services own.

Roles and Responsibilities

• · Build and operate services — Design, ship, and run Node.js/TypeScript services that sit behind the GraphQL federation. Own a slice of the ~40-service estate end-to-end: API design, schema, persistence, tests, deployment, on-call.
• GraphQL federation subgraphs — Add types, resolvers, and capabilities to the federated Platform API. Keep subgraph boundaries clean; respect RBAC at the federation enforcement layer.
• Commerce backbone — Build the subscription, invoicing, overage, dispute, and payout flows that integrate with Stripe and PayPal webhooks and the billing state machine. Make sure metering, billing, and payouts stay accurate, auditable, and replayable.
• Proxy control plane — Build the management APIs and background workers that configure the runtime proxy: API keys, plans, rate-limit policies, quota caches, abuse signals.
•  Event-driven systems — Produce and consume Kafka and Kinesis events safely: schema evolution, idempotency, retries, dead-letter handling. Operate Lambda consumers where they're the right tool.
• Data services — Help own the Node.js Analytics Service and Quota Service that front ClickHouse and Snowflake. Keep latency low, queries cheap, and authorisation correct.
• Performance and reliability — Diagnose hot paths, tune queries, add caches where they matter, and remove caches that have become liabilities. Write the SLOs and the alerts that defend them.
•  Security isolation — Implement OAuth2 / JWT / mTLS where they belong; respect least-privilege; design APIs that fail closed.
• On-call and incident response — Take part in the rotation. Lead investigations across services when something rooted in your area breaks.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are designed, reviewed, and tested.

What Success Looks Like

•    Services you own meet their SLOs, deploy multiple times a day, and rarely wake anyone up.

•    Billing, subscription, overage, and payout flows you ship are accurate to the cent, replayable, and trusted by both providers and consumers.

•    GraphQL subgraphs you maintain stay fast, well-typed, and pleasant to extend.

•    Event pipelines you produce and consume are idempotent, observable, and survive replay and back-pressure.

•    The first generation of agent-native primitives you help build land in production and start carrying real agent traffic.

What You Bring

•    5–8 years of backend engineering experience, with non-trivial work on production services that real customers depended on.

•    Strong TypeScript / Node.js in a production service environment; comfort with async patterns, streams, and back-pressure.

•    Solid API design — REST and GraphQL (ideally federation: Apollo Federation, Mercurius, or similar). Schema design, persisted queries, performance tuning.

•    Production fluency with SQL — MySQL and/or Postgres. Bonus for Redis or ClickHouse.

•    Experience with event-driven systems — Kafka or similar. You understand idempotency, exactly-once myths, and consumer lag.

•    Hands-on AWS (EKS, MSK, Kinesis, DynamoDB, Lambda, DMS) and Kubernetes. Comfortable reading and writing Terraform.

•    Modern engineering practice: observability, feature flags, CI/CD, and safe rollouts.

•    Care for correctness on the money path — you have shipped billing, metering, or payment code before and have the scars to show for it.

•    Bonus: experience with API gateways, rate limiting, quota enforcement, usage metering, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.

•    You write small, reviewable PRs. You add the test before you fix the bug. You would rather ship a smaller thing well than a bigger thing badly.

Solid product experience and an educational background from Tier‑1 universities are preferred.

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata’s AI capabilities. 

In this role, you will: 

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. 
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. 
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. 
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns. 
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). 
• Use AI powered engineering tools to improve development quality, speed, and productivity. 
• Mentor engineers, supporting them in technical planning, implementation, and best practices. 
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. 
• Write unit and integration tests and participate in code reviews to uphold engineering excellence. 
• Investigate production issues, ensuring timely and effective solutions. 
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies. 

Who You’ll Work With 

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction. 

What Makes You a Qualified Candidate 

(Nonnegotiable qualifications) 

• Bachelor’s degree in Computer Science or equivalent from a recognized institution. 
• 5+ years of experience in backend services, distributed systems, or data platform development. 
• Strong proficiency in Java, Go, or Python for service development. 
• Good understanding of design principles, distributed system patterns, and service framework. 
• Hands-on experience designing and developing RESTful APIs. 
• Experience with SQL and NoSQL databases and data modelling. 
• Strong debugging, problem solving, and troubleshooting skills. 
• Experience with modern containerization and orchestration tools such as Kubernetes. 
• Knowledge of public cloud platforms. 
• Experience with AI productivity tools (e.g., GitHub Copilot). 
• Ability to work independently, drive workstreams, and deliver high quality outcomes. 
• Strong communication and collaboration skills. 

What You’ll Bring 

(Preferred qualifications) 

• Familiarity with messaging systems such as Kafka. 
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. 
• A track record of influencing design decisions and driving engineering best practices. 
• The ability to mentor engineers and guide them through design, planning, and execution. 
• A proactive mindset and comfort working in fast paced, dynamic environments. 
• Curiosity, adaptability, and a passion for building impactful AI-driven products. 

Associate Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years (Excluding Intership)

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally, It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a Platform Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. Their engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, Platform Engineer, SRE or Technical Project Coordination with IoT or connected devices based platforms.
• Experience with incident management and on-call best practices. Provide support to on call engineers
• Manage and maintain AWS cloud infrastructure to ensure high availability, scalability, reliability, and performance of the EV charging platform.
• Use Terraform (Infrastructure as Code) to automate infrastructure provisioning, configuration, and environment management.
• Configure and manage load balancing to distribute traffic efficiently across platform services, improve application availability, and eliminate performance bottlenecks.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Preferred Skills

• Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
• AWS Certifications (Associate/Professional).
• Banking or Financial Services domain experience.

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

About the Organisation

DataFlow Group is a pioneering global provider of specialized Primary Source Verification (PSV) solutions, and background screening and immigration compliance services that assist public and private organizations in mitigating risks to make informed, cost-effective decisions regarding their Applicants and Registrants.

DataFlow with its best practices in this field such as a high level of data security, cutting-edge technology, rigorous processes, qualified research analysts, and a global network of over 100,000 issuing authorities, verifies professionals credentials from the primary issuer of the document - regardless of its nature.The company complements its advanced verification processes and long-standing industry expertise by adhering to the highest regulatory standards, including the Joint Commission International (JCI), International Organization for Standardization (ISO), and the European Union’s General Data Protection Regulation (GDPR).

About the Role:

We are looking for a Backend Architect / Lead who lives and breathes code. This isn't a role for someone who wants to delegate; it’s for a technical heavyweight who wants to own core product development, define backend architecture patterns, and build scalable, secure, and resilient systems from the ground up. You will join a fast-paced environment where we ship high-quality code under tight timelines. You’ll be expected to take full ownership of our server-side ecosystem, database design, and API layer, ensuring high availability, bulletproof operational excellence, and top-tier performance.

Duties and Responsibilities:

● Architect & Build: Design and implement complex, scalable microservices and monolithic architectures using Node.js, Express.js, and MongoDB (MERN backend stack).

● Heavyweight Coding: Spend the majority of your time writing high-quality, production-ready backend code. You should be comfortable solving complex systems problems using efficient Data Structures, Algorithms, and clean architecture principles.

● Performance & Data Engineering: Own database optimization, query performance, indexing strategies, caching layers (Redis), and system throughput to ensure low-latency API response times.

● Technical Leadership: Establish and enforce industry best practices for REST/GraphQL API design, security standards, code reviews, and automated CI/CD pipelines.

● End-to-End Ownership: Participate in the full SDLC—from initial ideation and system design to deployment, infrastructure setup, and production monitoring on AWS

Qualifications:

● The Deep Diver: You have spearheaded at least one large-scale, complex backend project or system redesign. You can explain every architectural decision, trade-off, database schema choice, and line of code in a deep-dive technical discussion.

● Experience: You have at least 8 years of professional software development experience, with a significant focus on high-traffic, distributed backend systems.

● Tech Stack Mastery: Expert-level proficiency in Node.js, Express.js, MongoDB (Mongoose/Aggregation framework), and TypeScript. Strong hands-on experience with AWS (EC2, S3, ECS/Lambda, CloudWatch) and containerization (Docker).

● Architectural Fluency: A solid understanding of modern backend patterns (Microservices, Event-Driven Architecture, Pub/Sub, Caching strategies, Message Queues like RabbitMQ/Kafka, State Management, and Authentication/Authorization protocols).

● Optimization Expert: Proven experience in tuning database performance, scaling server instances, managing connection pools, and debugging memory leaks or high CPU usage under heavy load.

● Grit & Speed: You thrive in high-pressure environments and enjoy the challenge of meeting tight deadlines without compromising on quality or system reliability.

Position: Technical Architect – Data Engineering

Job Summary:

• We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
• The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
• The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities

• Design enterprise-scale data lakehouse and data warehouse architectures.

• Define data ingestion, transformation, and serving architecture.

• Lead architecture discussions and technical governance.

• Design scalable ETL/ELT frameworks using Databricks and Snowflake.

• Define best practices for security, performance, CI/CD, and DevOps.

• Guide engineering teams on implementation.

• Collaborate with business, product, and data governance teams.

Must Have Skills :

• Azure or AWS

• Databricks

• Snowflake

• Data Lakehouse Architecture

• PySpark

• SQL

• Data Modelling

• ETL/ELT Architecture

• Performance Optimization

• CI/CD

• Terraform or Infrastructure as Code (preferred)

Preferred

• Insurance domain

• dbt

• Unity Catalog

• Delta Lake

• Iceberg

• Azure Data Factory / AWS Glue  

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

• Manage and support AWS cloud infrastructure and services.
• Deploy and manage applications using Kubernetes and OpenShift.
• Perform Linux administration, troubleshooting, and issue resolution.
• Monitor application and infrastructure health and resolve production issues.
• Work on containerized applications and deployments.
• Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
• Troubleshoot cloud, container, and Linux-related issues.
• Collaborate with development and operations teams for deployments and releases.
• Follow security, availability, and operational best practices.

Mandatory Skills

• Strong hands-on experience in AWS
• Good experience with Kubernetes
• Hands-on experience in OpenShift
• Strong Linux administration and troubleshooting skills
• Experience in cloud/container environment support
• Good production troubleshooting and incident management skills

We are looking for a hands-on Engineering Lead who can own backend engineering, DevOps, and delivery management.

This is not a coordination-only role. You will contribute technically while establishing the processes, accountability, and

operating rhythm needed for predictable delivery. You will manage multiple engineers and effectively use AI coding

agents and automation tools to improve the team's output without compromising quality.

Key Responsibilities

• Own the architecture, development, deployment, and reliability of our backend systems.

• Lead engineers through clear goals, task breakdowns, ownership, reviews, and regular feedback.

• Establish a process-oriented delivery system covering planning, estimation, execution, testing, release, and

retrospectives.

• Translate product requirements into technical plans, milestones, dependencies, and measurable deliverables.

• Track execution proactively, identify delivery risks early, and communicate status clearly.

• Remain hands-on with critical development, debugging, architecture, code reviews, and production issues.

• Own CI/CD, infrastructure, observability, deployment practices, and operational readiness.

• Improve engineering quality through coding standards, automated testing, documentation, and review processes.

• Delegate work effectively across team members according to their strengths and development needs.

• Use AI coding agents and engineering automation to parallelise suitable work, while reviewing and validating all

outputs.

• Build a culture of accountability in which work has clear owners, acceptance criteria, deadlines, and definitions of

done.

• Collaborate closely with product and business stakeholders to balance speed, scope, quality, and technical debt.

What We Are Looking For

• 6+ years of backend engineering experience.

• At least 2 years of experience leading or managing an engineering team.

• Strong hands-on backend development experience with Python, FastAPI, Django + Django REST Framework, and

PostgreSQL.

• Practical experience with cloud infrastructure (AWS), DevOps, CI/CD, containers (Docker), monitoring, and

production operations.

• Experience working in a mature, process-oriented engineering environment.

• Demonstrated ability to improve delivery predictability and engineering throughput.

• Strong understanding of agile planning, estimation, sprint execution, incident management, and retrospectives.

• Ability to manage multiple people and concurrent streams of work.

• Experience reviewing architecture, pull requests, test plans, and production-readiness requirements.

• Strong written and verbal communication skills.

• Ability to give direct, constructive feedback and hold team members accountable.

• Sound judgement about when to build, delegate, automate, or reduce scope.

Tech Stack

Must-have: Python, FastAPI, Django + Django REST Framework, PostgreSQL, SQLAlchemy (async) + asyncpg, Pydantic,

REST API design + JWT authentication, Docker, AWS (ECS, ALB, ECR, CloudWatch, S3, Secrets Manager), Git.

Strongly preferred: Redis, Elasticsearch / OpenSearch, WebSockets, Payment gateways (Razorpay / Cashfree), Third-

party / ERP integrations, CI/CD (AWS CodeBuild or GitHub Actions).

Nice-to-have: Frappe / ERPNext + MariaDB, Microservices architecture, PostHog / CleverTap / Firebase, B2B e-commerce

or order management experience.

AI-Assisted Engineering

The ideal candidate should be comfortable incorporating AI into the software-development lifecycle. This includes:

• Breaking work into tasks that can be delegated safely to coding agents.

• Running multiple human and agent-led workstreams concurrently.

• Providing agents with clear context, constraints, and acceptance criteria.

• Reviewing generated code for correctness, security, maintainability, and architectural fit.

• Using automation to accelerate testing, documentation, refactoring, and operational workflows.

• Measuring whether AI tooling produces genuine delivery improvements.

We do not expect blind reliance on generated output. The Engineering Lead remains accountable for the quality and

correctness of everything shipped by the team.

Success in the First 90 Days

• Understand the existing architecture, infrastructure, team capabilities, and delivery bottlenecks.

• Take ownership of backend and DevOps execution.

• Introduce a consistent planning, tracking, review, and release cadence.

• Establish visibility into ownership, progress, dependencies, and delivery risks.

• Improve CI/CD, testing, monitoring, and production-readiness practices.

• Create an effective delegation model across engineers and AI agents.

• Deliver at least one meaningful product or platform milestone predictably from planning through production.

Nice to Have

• Experience scaling an early-stage or growing engineering team.

• Experience hiring, mentoring, and performance-managing engineers.

• Experience with infrastructure as code, security practices, and cloud-cost optimisation.

• Experience managing migrations, reliability improvements, or legacy-system modernisation.

• Previous experience introducing AI-assisted development workflows into an engineering team.

Who Will Succeed in This Role

You are likely to succeed if you are equally comfortable discussing architecture, reviewing code, resolving a production incident, planning a release, and having an accountability conversation with an engineer. You bring structure without creating unnecessary bureaucracy and know how to turn product priorities into consistent, high-quality delivery.

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

Jr Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally,It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a  TechOps Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. It engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, SRE, or Technical Project Coordination with IoT or connected devices based platforms.
• Hands-on experience with cloud platforms such as AWS and Infrastructure as Code (IaC) tools such as Terraform.  
• Experience with incident management and on-call best practices. Provide support to on call engineers.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.
• 
  

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Looking for a Cloud Network Engineer with strong experience in AWS Networking, LAN/WAN, hybrid connectivity, routing, and troubleshooting. The candidate should have hands-on experience implementing and supporting cloud network infrastructure and resolving complex connectivity issues.

### Key Responsibilities:


- Design, implement, and troubleshoot AWS networking environments.

- Configure VPC/VNet, subnets, route tables, NSG/Security Groups, NACLs, peering, and private endpoints.

- Work on VPN, ExpressRoute, Direct Connect, Transit Gateway, and hybrid connectivity.

- Configure and troubleshoot DNS, Load Balancers, NAT, routing, and network security.

- Troubleshoot LAN/WAN, routing, connectivity, latency, DNS, and packet-flow issues.

- Work with BGP, static routing, NAT, MTU, and high-availability concepts.

- Support cloud migration activities, connectivity validation, and cutover requirements.

- Coordinate with Firewall, Security, Cloud, Application, and Infrastructure teams.

- Prepare network documentation, implementation plans, diagrams, and troubleshooting reports.

- Exposure to Terraform/IaC for cloud network deployment is an advantage.

### Mandatory Skills:


- AWS Cloud Networking

- LAN/WAN & Network Troubleshooting

- Routing & Switching

- VPC/VNet, Subnets, Route Tables

- VPN / Hybrid Connectivity

- DNS & Load Balancing

- BGP / TCP-IP / NAT

- Good communication and stakeholder coordination skills.

As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.

If you are Interested DM me on LinkedIn - Saquib Mundagnur

 What You'll Own

CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.

Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.

Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend. 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.

- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).

- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.

- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.

- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team

Technical Skills -

• 4–6 years of experience in Golang development, backend engineering, or automation testing. 
• Strong hands-on proficiency in Golang and backend development concepts. 
• Hands-on experience with Kubernetes and containerized environments. 
• Experience developing automation frameworks, unit tests, integration tests, and API validation tools using Go. 
• Strong understanding of distributed systems, system design, and cloud-native architecture. 
• Experience in validating backend services, REST/gRPC APIs, and Kubernetes-based platforms. 
• Familiarity with Docker, CI/CD pipelines, Jenkins, and GitHub Actions. 
• Knowledge of cloud-native observability tools such as Prometheus and Grafana. 
• Strong debugging, analytical, and problem-solving skills. 
• Ability to contribute to backend development, reliability improvements, and performance validation. 

Key Responsibilities -

• Develop automation frameworks, unit tests, integration tests, and validation tools using Golang. 
• Validate backend services, distributed systems, REST/gRPC APIs, and Kubernetes-based platforms. 
• Contribute to backend development, debugging, reliability improvements, and performance validation. 
• Work with cloud-native technologies such as Kubernetes, Docker, Prometheus, and Grafana. 
• Automate workflows and testing through CI/CD pipelines using Jenkins/GitHub Actions. 
• Collaborate with engineering teams to improve system quality, observability, and test coverage. 

Good to Have -

• Experience with infrastructure platforms or storage systems. 
• Exposure to AWS, Azure, or GCP. 
• Experience with performance, load, or resiliency testing. 
• Familiarity with Ginkgo, Gomega, or similar Go testing frameworks. 

Role: Forward Deployment Engineer (FDE)

Company: Comprinno (NASSCOM-incubated, AWS Advanced Consulting Partner)

Experience: 5 to 8 years

About the Role:

Comprinno is hiring a Forward Deployment Engineer to work directly with customers, identify business challenges, and turn them into working AI solutions on AWS. This is a customer-facing role that blends consulting, solution architecture, and hands-on AI engineering.

Key Responsibilities:

• Run discovery workshops with customer stakeholders and translate business problems into technical solutions.
• Design AI and cloud solutions using patterns such as RAG, AI agents, and workflow automation.
• Build POCs, prototypes, and MVPs on AWS (Bedrock, Lambda, S3, API Gateway, DynamoDB, OpenSearch, ECS/EKS) and support the move to production.
• Develop GenAI and agentic solutions, including prompt strategies, evaluation frameworks, and retrieval pipelines.
• Demo solutions, train customer teams, and drive adoption.
• Document architectures and contribute reusable accelerators. Support presales and proposals.

Must-Have Skills:

• 5 to 8 years in solution engineering, technical consulting, presales, product engineering, or similar customer-facing technical roles.
• Hands-on experience building applications, integrations, or prototypes on AWS.
• Strong grasp of LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval.
• Experience with one or more of Amazon Bedrock, OpenAI, Anthropic, LangChain, LangGraph, or CrewAI.
• Experience delivering customer-facing POCs and running requirements or discovery sessions.
• Strong communication and stakeholder management skills, and comfort with ambiguity.
• Willingness to travel or be deputed to customer sites across India and internationally.

Good to Have:

• AWS Solutions Architect certification (Associate or Professional).
• Multi-agent systems, MCP, and AI observability or evaluation tools.
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma).
• DevOps and CI/CD exposure.
• Startup, consulting, or SaaS product experience.

Why Join Comprinno:

• Work at the forefront of GenAI, Agentic AI, and AWS.
• High ownership, with solutions going from idea to production in weeks.
• Exposure to diverse industries and to Comprinno's SaaS platform, Tevico.

About Comprinno:

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

Learn more about us at: comprinno.net

🚀 Hiring – Senior Full Stack Engineer | Java / Node.js / AWS 🚀

We are looking for an experienced Senior Full Stack Engineer with strong hands-on expertise in Java, Node.js, Frontend technologies and AWS Cloud.

🔹 Experience: 8+ Years

🔑 Mandatory Skills

✅ Java / Spring Boot

✅ Node.js – Backend

✅ REST APIs

✅ Microservices / SOA

✅ React / Angular / Vue.js

✅ AWS Cloud & Architecture

✅ AWS CDK – Must Have

✅ CloudFormation

✅ AWS Lambda

✅ Docker / Containerization

✅ CI/CD

✅ MongoDB

📌 Key Responsibilities

Design and develop scalable applications using Java, Spring Boot and Node.js.

Build and integrate REST APIs and microservices.

Develop responsive frontend applications using React, Angular or Vue.js.

Design and deploy cloud-native solutions on AWS.

Work with AWS CDK, CloudFormation, Lambda, ECS/EKS and API Gateway.

Build and manage Docker containers and integrate applications with CI/CD pipelines.

Work with MongoDB and event-driven architectures.

Support cloud migration from on-premise/PaaS applications to AWS.

Drive performance, reliability, security and cost optimization.

Participate in code reviews, TDD/BDD, Agile development and continuous improvement.

Provide production troubleshooting and participate in 24/7 on-call support rotation.

#Hiring #Java #SpringBoot #NodeJS #FullStackDeveloper #Microservices #ReactJS #Angular #AWS #AWSCDK #CloudFormation #Lambda #Docker #CICD #MongoDB #BangaloreJobs #HyderabadJobs #ITJobs

At Shipthis, we are building a better future for freight forwarders by evolving traditional operations into fully digital, efficient, and scalable systems. We’re a fast-growing product company where every individual has the opportunity to take ownership, move fast, and create real impact. If you enjoy solving complex problems, shaping products from the ground up, and influencing technical direction, Shipthis is the place for you.

Learn more at www.shipthis.co

Role Overview

We are looking for an associate-level SecOps Engineer to support security operations, compliance, endpoint management, cloud infrastructure, and DevOps engineering. The role will work closely with the CTO/CISO and engineering team. Security and compliance are core responsibilities; when those priorities are lighter, the engineer will focus on CI/CD, infrastructure automation, reliability, monitoring, performance, and cloud cost optimization.

What You’ll be Doing

Security Operations

• Monitor infrastructure, application, and security alerts and assist with incident investigation.
• Review access controls, privileged accounts, service accounts, permissions, and periodic access reviews.
• Support infrastructure hardening, logging, monitoring, backup, recovery, and other security controls.
• Track security issues and corrective actions through closure.

Vulnerability Management

• Run and review application and infrastructure vulnerability scans.
• Maintain a vulnerability register and coordinate remediation with engineering teams.
• Support VAPT and penetration-testing exercises and validate closure of findings.
• Monitor dependencies, containers, operating systems, and cloud infrastructure for known vulnerabilities and patching needs.

Compliance & Governance

• Support ongoing ISO/IEC 27001, SOC 2, GDPR, customer-security, and internal-policy requirements.
• Maintain audit evidence, control registers, security policies, procedures, risk items, and remediation records.
• Assist with internal/external audits, vendor assessments, customer security questionnaires, and asset inventories.
• Maintain evidence for access reviews, vulnerability management, incidents, onboarding/offboarding, backups, and infrastructure changes.

MDM & Endpoint Security

• Administer the company MDM platform and enroll/manage company laptops, desktops, and mobile devices.
• Maintain device inventory and monitor endpoint compliance.
• Enforce approved controls such as disk encryption, screen locks, password requirements, patching, and endpoint protection.
• Support employee device onboarding/offboarding, approved application deployment, lost/stolen-device procedures, and remote wipe where authorized.
• Maintain endpoint security and MDM evidence required for audits and troubleshoot enrollment or policy issues.

DevOps, CI/CD & Cloud

• Maintain and improve CI/CD pipelines, deployment workflows, build times, caching, and rollback processes.
• Support production and non-production cloud infrastructure, networking, DNS, TLS certificates, IAM, and secrets.
• Automate repetitive deployment, infrastructure, security, and compliance tasks.
• Improve monitoring, logging, alerting, reliability, resource utilization, and cloud costs.
• Troubleshoot pipeline, deployment, and infrastructure issues and participate in root-cause analysis.

Required Fundamentals

• Basic knowledge of Linux, networking, HTTP/HTTPS, DNS, TLS, Git, Docker, cloud computing, APIs, and web applications.
• Understanding of IAM, MFA, least privilege, vulnerabilities/CVEs, encryption, logging, patching, and secrets management.
• Strong troubleshooting, ownership, attention to detail, and willingness to learn.

Desired Qualifications

• 1–2 years of experience with strong fundamentals are welcome.
• Basic scripting knowledge in Python, Bash, or similar.
• Interest in cybersecurity, cloud infrastructure, automation, and troubleshooting.
• Exposure to AWS/GCP/Azure, Terraform, GitHub Actions, Cloudflare, OWASP, vulnerability scanners, MDM, ISO 27001, or SOC 2 is a plus, not mandatory.

We Welcome Candidates:

• Who can join immediately
• Female candidates returning to work after a career break are strongly encouraged.

We are an equal opportunity employer and are committed to fostering diversity and inclusivity. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, or disability status.

Job Synopsys

Location: Bangalore

Job Type: Full-time, Permanent

Experience: 1-2 years

Industry: Software Product

🚀 Hiring – AWS / Kubernetes / OpenShift Engineer

📍 Location: Bangalore

💼 Experience: 7–10 Years

⚡ Joining: Immediate Joiners Only

🔑 Required Skills

• Strong hands-on experience in AWS
• Expertise in Kubernetes & OpenShift
• Strong Linux Administration & Troubleshooting
• Experience in containerized environments and platform operations
• Production support, monitoring and incident troubleshooting
• Good understanding of cloud and infrastructure technologies

📌 Interview Process

2nd Round – Face-to-Face Interview in Bangalore

👉 Please share profiles of candidates who are available for a F2F interview in Bangalore.

#Hiring #AWS #Kubernetes #OpenShift #Linux #CloudEngineer #PlatformEngineer #DevOps #BangaloreJobs #ImmediateJoiners #WFO #ITJobs

Job Summary:

We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.

Roles & Responsibilities:

• Design, deploy, and manage cloud infrastructure on AWS.
• Manage and administer Kubernetes and OpenShift environments.
• Deploy, configure, and troubleshoot containerized applications.
• Perform Linux administration, troubleshooting, and system monitoring.
• Monitor application and infrastructure performance and resolve production issues.
• Automate deployment and operational activities wherever possible.
• Work with development and operations teams to support application deployments.
• Ensure system availability, reliability, and security.
• Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
• Follow DevOps best practices for CI/CD, infrastructure management, and automation.

Required Skills:

• 7–10 years of relevant experience in Cloud/DevOps.
• Strong hands-on experience with AWS.
• Good knowledge of Kubernetes and OpenShift.
• Strong Linux administration and troubleshooting skills.
• Experience in containerization and deployment of applications.
• Good understanding of cloud infrastructure and production support.

Senior Data Engineer – PySpark & Oracle

Experience: 7+ Years

Location: Bangalore

Notice Period: Immediate to 10 Days

Key Skills:

• Strong expertise in Data Modeling, Data Design & Modernization
• Primary skills: PySpark, Oracle SQL/PLSQL
• Secondary skills: Python, ETL & Data Pipelines
• Experience with Kafka and Hadoop
• Exposure to AWS / Azure / GCP
• Good knowledge of Git and JIRA

Roles & Responsibilities:

• Design, develop, and modernize scalable data models and data architecture.
• Develop and optimize data processing solutions using PySpark and Oracle SQL/PLSQL.
• Build and maintain robust ETL workflows and data pipelines.
• Work with Kafka, Hadoop, and cloud platforms for data processing and integration.
• Perform data transformation, optimization, and performance tuning.
• Collaborate with technical teams on data design, development, testing, and deployment.

Job Summary:

We are looking for a Senior Full Stack Engineer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The candidate should have strong experience in Java, Node.js, AWS, React, and Angular, with the ability to work across both frontend and backend technologies.

Roles & Responsibilities:

• Design, develop, and maintain scalable full-stack applications.
• Develop backend services and APIs using Java and Node.js.
• Build responsive and user-friendly web applications using React and Angular.
• Design and integrate RESTful APIs and backend services.
• Deploy, manage, and troubleshoot applications on AWS cloud services.
• Work with databases and ensure efficient data management.
• Collaborate with product, QA, and other engineering teams.
• Perform code reviews and ensure coding standards and best practices.
• Troubleshoot production issues and provide effective solutions.
• Participate in Agile development, sprint planning, and technical discussions.
• Contribute to application performance, scalability, security, and reliability.

Mandatory Skills:

• 8+ years of experience in software/full-stack development.
• Strong hands-on experience in Java and Node.js.
• Strong experience in React and Angular.
• Good hands-on experience with AWS.
• Experience in developing and integrating REST APIs.
• Strong understanding of full-stack application development.
• Good problem-solving and communication skills.

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.

You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.

The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable cloud infrastructure on AWS.
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
• Use AWS Systems Manager (SSM) to support operational automation and system administration.
• Automate system tasks and administrative workflows using PowerShell and other scripting languages.
• Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
• Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
• Implement and manage version-control workflows in Git and GitHub.
• Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
• Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
• Collaborate with development teams to improve software delivery processes and release management.
• Mentor junior engineers and contribute to the development of DevOps standards and best practices.

Required Skills and Experience

• 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
• Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
• Proven expertise in Terraform for Infrastructure as Code.
• Experience administering both Linux and Windows operating systems.
• Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
• Proficiency with Git workflows and source-code management best practices.
• Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
• Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
• Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
• Solid understanding of cloud networking, security, monitoring, and troubleshooting.
• Excellent problem-solving, communication, collaboration, and decision-making skills.

Nice-to-Have Skills

• Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
• Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
• An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.

Who You Are

• You are eager to learn new technologies and continuously improve your skills.
• You make sound decisions and take ownership of your work.
• You are proactive, self-motivated, and comfortable taking initiative.
• You are a strong communicator who enjoys collaborating with cross-functional teams.
• You are committed to improving processes, automation, reliability, and operational efficiency.

Cloud Infrastructure Engineer – BANG | 10+ Years

Location: Bangalore

Experience: 10+ Years

Job Description:

• Design, implement, and manage cloud infrastructure across AWS/Azure/GCP environments.
• Strong experience in cloud architecture, compute, storage, networking, and security.
• Manage VMs, VPC/VNet, load balancers, DNS, DHCP, firewalls, and IAM.
• Hands-on experience with Windows/Linux servers, VMware, virtualization, and infrastructure operations.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Monitor infrastructure performance, availability, and capacity using tools such as Grafana, Prometheus, or CloudWatch/Azure Monitor.
• Handle incident management, troubleshooting, disaster recovery, backup, and high-availability requirements.
• Work with cross-functional teams to support cloud migration, infrastructure upgrades, and production environments.
• Ensure infrastructure follows security, compliance, and operational best practices.

Must-Have Skills:

Cloud Infrastructure | AWS/Azure/GCP | Networking | Linux/Windows | VMware | Terraform | Ansible | DNS/DHCP | IAM | Monitoring | Backup & DR

Senior Software Engineer - I (Full Stack Developer) at Planview.

Location: Bengaluru, India

Experience: 6–10 Years

Work Mode: Hybrid — two days per week in the office (mandatory)

Team: Release and Verify Product Line

About the role

You will own full-stack feature delivery for Planview’s SaaS product line, working across backend services and frontend applications in a collaborative, hybrid environment.

Key responsibilities

• Design, build, and maintain full-stack features using C# / .NET Core and React.
• Design and implement RESTful APIs.
• Develop and maintain SQL Server schemas, queries, and stored procedures.
• Build automated end-to-end tests using Cypress and unit tests using Vitest.
• Manage Git/Bitbucket workflows, including branching, merging, rebasing, and pull request reviews.
• Build and maintain reliable CI/CD pipelines.
• Use AI-assisted engineering tools such as GitHub Copilot, Claude Code, or Cursor to support development, code reviews, and troubleshooting.
• Collaborate with QA, Product, and Design to deliver features end to end.
• Troubleshoot production issues with the DevOps team.
• Mentor junior engineers and contribute to engineering quality and review practices.

Required qualifications:

• 6–10 years of experience in full-stack software development.
• Strong experience with C# / .NET Core for scalable services and APIs.
• Strong experience building modern, responsive user interfaces with React.
• Experience with SQL Server schema design, queries, and performance fundamentals.
• Experience designing and integrating REST APIs.
• Proficiency with Git/Bitbucket, including branching strategies and pull request reviews.
• Experience building and maintaining CI/CD pipelines.
• Experience with Cypress for end-to-end test automation.
• Comfort using AI coding assistants in day-to-day software development. This may be evaluated during the interview process at the interviewer’s discretion.

Nice-to-have skills:

• Redis caching
• AWS or CloudFront
• ExtJS
• Vitest
• Docker
• AI/LLM integrations using Azure OpenAI, Semantic Kernel, or similar frameworks
• AI-powered code quality tools such as GitHub Copilot Autofix or SonarQube

Job Title: TechOps Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 6 Month-2 years (Excluding Internship)

Shift Timing: 2 PM to 11 PM IST

Role Overview

We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. Engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1 years of experience as a Site Reliability Engineer, Technical project coordinator role.
• Proven experience of SRE or Technical Project Coordination with IoT or connected devices based platforms.
• Experience with incident management and on-call best practices. Provide support to on call engineers.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Hands-on experience with AWS Cloud and IaC tools such as Terraform or Ansible.
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

About the Role

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

This role is responsible for identifying target accounts, engaging decision-makers through personalized outreach, qualifying opportunities, and scheduling meetings for the Account Executive team. You will play a critical role in building the top of Comprinno's sales funnel and creating predictable pipeline growth.

The ideal candidate is persistent, curious, highly organized, and comfortable engaging technology leaders through multiple communication channels. You should enjoy researching companies, uncovering business opportunities, and creating meaningful conversations that translate into qualified sales opportunities.

Key Responsibilities:

Prospecting & Account Research

• Identify target accounts aligned with Comprinno's Ideal Customer Profile (ICP).
• Research companies, industries, and technology landscapes to identify potential cloud transformation opportunities.
• Map key decision-makers including Founders, CTOs, CIOs, VP Engineering, Engineering Managers, and IT leaders.
• Build and maintain high-quality prospect lists using CRM, LinkedIn, Apollo, Clay, and other prospecting tools.

Outbound Prospecting

• Execute structured outbound campaigns through:
• Email
• Cold Calling
• LinkedIn
• WhatsApp
• Personalized multi-channel outreach
• Personalize outreach based on customer industry, business priorities, and technology landscape.
• Execute disciplined follow-up cadences to maximize response and engagement rates.
• Continuously improve messaging based on campaign performance and customer feedback.

Lead Qualification

• Conduct initial discovery conversations to understand customer challenges, priorities, and technology initiatives.
• Qualify prospects based on predefined qualification frameworks and buying intent.
• Identify opportunities related to:
• Cloud Migration
• Cloud Modernization
• Managed Services
• Security
• Data & AI
• Generative AI
• Schedule qualified meetings for the Account Executive team with comprehensive handover notes.

Pipeline Contribution

• Consistently achieve weekly and monthly outreach, meeting, and SQL targets.
• Maintain high-quality pipeline creation across startup, ISV, mid-market, and enterprise segments.
• Monitor personal conversion metrics and continuously improve performance.
• Support Account Executives in achieving pipeline and revenue objectives.

CRM & Sales Operations

• Maintain accurate CRM records for all prospect interactions.
• Update lead status, qualification notes, follow-up actions, and meeting outcomes.
• Ensure excellent CRM hygiene and adherence to sales processes.
• Track personal KPIs and activity metrics.

Collaboration & Continuous Learning

• Work closely with Marketing to support outbound campaigns and account-based initiatives.
• Collaborate with Account Executives, Presales Engineers, and Sales Leadership to improve lead quality.
• Share customer insights, objections, and competitive intelligence.
• Participate in coaching sessions, role plays, sales enablement, and product training.

Required Qualifications & Skills

• Bachelor's degree in Business, Engineering, Technology, Marketing, or related disciplines.
• 1–3 years of experience as an SDR or BDR
• Experience working in IT Services, Cloud Consulting, SaaS, or Technology Services organizations.
• Proven experience booking qualified meetings for the India market.
• Excellent written and verbal communication skills in English.
• Confidence in cold calling and outbound prospecting.
• Strong research and account-mapping abilities.
• Effective objection-handling and relationship-building skills.
• Strong attention to detail, CRM discipline, and process orientation.
• High energy, resilience, and execution focus.

Desired Qualifications & Skills

• Experience using SDR platforms such as Apollo, Clay, Outreach, Salesloft, HubSpot, LinkedIn Sales Navigator, or similar tools.
• Familiarity with AI-assisted prospecting, research, and outreach tools.
• Understanding of Cloud Computing, DevOps, AI, Cybersecurity, or Managed Services.
• Knowledge of B2B sales qualification methodologies.
• AWS Cloud Practitioner certification (or willingness to pursue certification).

What We're Looking For

• Strong curiosity and research mindset.
• High persistence and resilience.
• Excellent communication and listening skills.
• Strong organizational and time-management abilities.
• High ownership and accountability.
• Coachable with a continuous learning mindset.
• Ability to thrive in a fast-paced, target-driven environment.

What Success Looks Like

• Consistent achievement of weekly and monthly outreach, meeting, and SQL targets.
• High-quality lead qualification with strong acceptance rates from Account Executives.
• Excellent CRM hygiene and process compliance.
• Continuous improvement in response rates, meeting conversion, and qualification quality.
• Strong collaboration with Marketing, Presales, and Sales teams.
• Meaningful contribution to predictable pipeline generation and revenue growth.

Why Join Comprinno

• Work at the forefront of cloud innovation with one of the leading AWS consulting partners in the APJ region.
• Gain exposure to Cloud, DevOps, Managed Services, Data Analytics, and AI solution selling.
• Learn directly from experienced Sales Leaders, Presales Engineers, and Solution Architects.
• Accelerate your growth through structured coaching, AWS certifications, and continuous learning.
• Build expertise in enterprise technology sales and consultative selling.
• Join a collaborative, high-performance culture that values ownership, innovation, and customer success.

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

Software Engineer II to join Planview’s Keyedin team.

Planview is an enterprise software company focused on portfolio and work management, helping organizations plan, prioritize, and deliver work across strategy, teams, and technology. Its product portfolio spans project and portfolio management (PPM), enterprise agile planning, product portfolio management, and work management tools — including offerings like AdaptiveWork, Planview PPM Pro, ProjectPlace, Planview Viz, and Deliver (One2Team), plus its ProjectAdvantage (formerly Sciforma) product for project and resource management. The company serves a wide range of industries, from financial services to technology to government, helping large organizations connect strategy to execution and manage complex portfolios of projects, products, and resources.

About the Role:

You’ll work on a product that combines legacy and modern technologies, contributing across the full stack while helping shape future platform integrations, connectors, and AI-powered capabilities. You’ll also work directly on customer-facing tickets and real-world product challenges, gaining hands-on exposure to the application and its technology stack from day one.

What You’ll Work On

• Customer-facing development and product enhancements
• Platform integrations and connector development
• Cloud technologies and AI-enabled capabilities
• Maintenance and modernization of existing product functionality
• Collaboration on new technologies as the platform evolves

Must-Have Skills

• C#/.NET, MVC, VB.NET, Web API, and Dapper
• Angular, HTML, CSS, and JavaScript/TypeScript
• Unit testing using NUnit, Jasmine, and Karma
• IIS
• SQL Server, including functions, stored procedures, and scheduled jobs
• Experience with AI coding tools such as Claude, GitHub Copilot, or similar

Nice-to-Have Skills

• Integration testing
• Azure DevOps
• Power BI
• Cloud platforms such as Azure or AWS

Growth Opportunity

Over the next 1–2 years, you’ll have the opportunity to progress from handling customer-facing issues to owning complex technical problems and key product areas. You’ll build expertise across legacy and modern technologies, integrations, cloud, and AI, with a path toward leading technical initiatives, contributing to architectural and product decisions, mentoring engineers, and progressing toward a senior or technical leadership role.

Team Culture and Work Style

The Keyedin team is learning-focused, collaborative, and customer-focused. This role follows a hybrid work model with two days per week in the office and no shift work.

If this opportunity aligns with your experience and career goals, please share your updated resume and let me know a convenient time to connect.

About the Team

SecurITe’s mission is to build an Agentic-AI driven security platform that protects critical infrastructure from modern cyber threats. Our focus is on delivering highly performant, resilient, and intelligent network security systems that help defenders stay ahead of adversaries.

About the Role

We’re looking for an exceptional Platform Engineer to help lead the development of our next-generation cybersecurity AI platform. This is a rare opportunity to shape how agentic AI transforms the future of cyber defense.

As a Platform Engineer, you will design, build, and operate the foundational infrastructure, deployment systems, and developer platforms that power our cybersecurity products across cloud and on-premise environments. You will work at the intersection of infrastructure engineering, cloud-native technologies, automation, reliability, and security to enable scalable and resilient product delivery.

You’ll collaborate closely with AI/ML, backend, security, QA, and product engineering teams to create self-service platforms, deployment pipelines, observability systems, and operational tooling that accelerate innovation while maintaining enterprise-grade reliability and security.

This role is ideal for Linux platform engineers and system specialists who excel at solving complex system challenges, automating wherever possible, and building resilient platforms that enable teams to move faster with confidence.

Why This Role Matters

Cybersecurity is undergoing a fundamental shift. AI is no longer an enhancement—it’s becoming the core engine of how detection, investigation, and response are executed. As our Platform Engineer, you will architect and build the infrastructure, automation, deployment, and operational systems that make this transformation real.

Your work will directly influence the scalability, reliability, and security of our AI-driven cybersecurity platform across both cloud and enterprise on-premise deployments. You’ll help establish the operational backbone that enables rapid innovation, secure product delivery, and resilient large-scale deployments in mission-critical environments.

This is a chance to solve novel technical challenges involving distributed systems, hybrid infrastructure, observability, automation, and secure software delivery while shaping how defenders outpace modern attackers.

What You’ll Do

●    Design, build, and own AWS infrastructure from the ground up (VPC architecture, EC2 fleet management, IAM, networking, security groups)

●    Administer and harden AlmaLinux VMs across production, staging, and dev environments

●    Build automation for provisioning, patching, and configuration management (infrastructure-as-code, config management tooling)

●    Design and implement observability: monitoring, logging, alerting, and on-call-worthy SLAs from scratch

●    Lead incident response — diagnosis, RCA, and post-incident documentation — with no dedicated ops team to escalate to

●    Make and document build-vs-buy and architecture decisions as the product and team scale

●    Work directly with founders/engineering to translate ambiguous asks into scoped technical plans

Impact You’ll Have

●    Accelerate engineering velocity through scalable developer platforms and automation

●    Improve deployment reliability, platform uptime, and operational efficiency

●    Enable secure and scalable AI-driven cybersecurity workloads

●    Reduce operational overhead through infrastructure automation and self-service systems

●    Help establish enterprise-grade cloud and on-premise deployment capabilities

●    Enhance product resiliency, observability, and operational excellence

●    Shape the long-term platform architecture powering next-generation cybersecurity products

●    Enable rapid and secure delivery of critical security innovations to customers

Required Experience

●    4+ years hands-on Linux administration (RHEL-family strongly preferred — AlmaLinux, CentOS, RHEL)

●    Deep Linux internals: systemd, networking, storage/LVM, process/resource management, kernel-level troubleshooting

●    Real AWS architecture experience — not just operating existing infra, but designing it (VPC, EC2, IAM, security groups, networking)

●    Demonstrated ability to scope and solve ambiguous problems independently, without a runbook or senior engineer to defer to

●    Scripting/automation proficiency (Python and/or Bash) beyond one-off scripts — built tooling that runs unattended

●    Track record of end-to-end ownership: has designed, built, and operated a system (not just contributed to one)

●    Clear, proactive communicator — documents decisions and explains reasoning without being asked

Required Skills & Qualifications

●    Strong Linux system administration and troubleshooting skills

●    Redhat certifications

●    Strong understanding of networking fundamentals, security, and distributed systems

●    Proficiency with Docker, and container orchestration

●    Experience with Terraform, Ansible, or similar infrastructure automation tools

●    Strong scripting or programming skills in Python, Bash, or Go

●    Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry

●    Understanding of platform security best practices and secure infrastructure design

●    Familiarity with virtualization technologies and hybrid infrastructure environments

●    Strong problem-solving and debugging abilities

●    Excellent communication and collaboration skills

●    Ability to thrive in fast-paced startup environments

Nice to Have

●    Configuration management/automation at scale (Ansible, AWX, Terraform, or similar)

●    Monitoring/observability stack experience (Prometheus, Grafana, Zabbix, ELK, Datadog)

●    Container experience (Docker; Kubernetes a plus but not core to this VM-based stack)

●    Experience in a startup or small-team environment where infra was built from scratch

●    Security/compliance exposure (vulnerability remediation, hardening, SSO/access control)

The Mindset

Problem Solver

You thrive on complex, ambiguous challenges and engineer elegant solutions.

Ownership-Driven

You take initiative, move fast, and deliver outcomes without hand-holding.

Continuous Learner

You stay ahead of the curve in AI, ML, cloud-native technologies, and emerging infrastructure trends.

Startup DNA

You excel in fast-moving environments where priorities evolve and impact is immediate.