50+ Google Cloud Platform (GCP) Jobs in India

• Design, develop, and maintain integration solutions using MuleSoft Anypoint Platform.
• Create and manage APIs using RAML specifications, including designing, documenting, and versioning APIs.
• Develop APIs following API-led connectivity (System, Process, Experience layers).
• Use MuleSoft APIs effectively for orchestration of business workflows and integrations.
• Deploy and manage Mule applications in CloudHub and Runtime Fabric environments.
• Implement integrations using MuleSoft connectors such as HTTP, Database, JMS, Salesforce, and SAP.
• Design and implement message routing using:

Choice routers

Scatter-Gather

• Work with messaging patterns such as:

Request-reply

Publish-subscribe

Content-based routing

• Integrate with messaging systems such as Kafka / Google Pub/Sub, ensuring:

Asynchronous processing

Retry mechanisms

Idempotent message handling

• Reliable event-driven communication
• Implement robust error handling strategies in MuleSoft, including global error handlers and custom error handling flows.
• Design resilient systems using:

Retry strategies

Circuit breakers

• Maintain API versions using URI versioning or header-based versioning, manage lifecycle through API Manager, and ensure backward compatibility.
• Implement strong logging and monitoring strategies for observability and troubleshooting.
• Apply security best practices including OAuth2, JWT, TLS, and API policies.
• Write and maintain MUnit test cases to ensure code quality and reliability.
• Use Git for source control and work with CI/CD tools such as Jenkins or GitHub Actions for:
• Troubleshoot, debug, and optimize MuleSoft applications and integrations.
• Collaborate with cross-functional teams including backend, frontend, and DevOps.
• Participate in code reviews, design discussions, and architecture decisions.
• Ensure high performance, scalability, and reliability of integration solutions.

Mandatory Skills

• Strong experience with MuleSoft Anypoint Platform
• Hands-on experience in RAML design and API development
• Experience deploying APIs in CloudHub and/or Runtime Fabric
• Knowledge of Docker and Kubernetes
• Strong understanding of API security (OAuth2, JWT, TLS, API policies)
• Experience with MuleSoft connectors (HTTP, DB, JMS, Salesforce, SAP)
• Knowledge of integration patterns, message routing, and event-driven architecture
• Experience with Kafka / Google Pub/Sub or similar messaging systems
• Strong understanding of error handling, retries, DLQ, and idempotency patterns
• Hands-on experience with MUnit testing

Experience implementing logging and monitoring strategies

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment. We're seeking an experienced Backend Software Engineer to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic.

Responsibilities:

● Design, develop, and deploy backend systems, including APIs, databases, and server-side logic

● Write clean, efficient, and well-documented code that adheres to industry standards and best practices

● Participate in code reviews and contribute to the improvement of the codebase

● Debug and resolve issues in the existing codebase

● Develop and execute unit tests to ensure high code quality

● Work with DevOps engineers to ensure seamless deployment of software changes

● Monitor application performance, identify bottlenecks, and optimize systems for better scalability and efficiency

● Stay up-to-date with industry trends and emerging technologies; advocate for best practices and new ideas within the team

● Collaborate with cross-functional teams to identify and prioritize project requirements

Requirements:

● At least 5+ years of experience building scalable and reliable backend systems

● Strong expertise in NodeJS/NestJS, Express, PostgreSQL

● Experience with microservices architecture and distributed systems

● Proficiency in database design (SQL and NoSQL)

● Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines

● Deep understanding of design patterns, data structures, and algorithms

● Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes

● Exceptional communication and leadership skills

● Strong understanding of object-oriented programming principles and design patterns

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

● Strong communication skills and ability to effectively lead and maintain a collaborative team environment

About Us:

We are hiring for a pre seed funded startup called Zeromoblt (https://zeromoblt.com/), a high-agency Hyderabad-based startup revolutionizing student transportation with lean, intelligent tech stacks.

Our mission: architect world-class systems from scratch—fast, scalable, and algorithmically sharp—using Kotlin, React, AWS (EC2, IoT, IAM), Google Maps, and multi-cloud setups. Stealth mode operations mean you're building 0→1 products with founders, not fixing tickets.

What You'll Do

• Lead end-to-end ownership of complex systems: design, build, deploy, monitor, and iterate at scale.
• Architect high-performance backends in Kotlin (or JVM langs) that handle real-time routing and IoT data.
• Craft scalable React UIs that power ops dashboards and parent-facing apps.
• Drive cloud decisions across AWS, Azure/GCP—optimising costs for our bootstrap runway.
• Apply DSA/system design to solve hard problems like dynamic route optimization and predictive scaling.
• Shape the engineering roadmap: propose, prioritise, and ship features with founders.
• Mentor juniors while executing solo on high-impact bets—no layers, just results.

We're Looking For

• 3-6 years of hands-on engineering where you've owned and shipped production systems (prove it with code/stories).
• Elite CS fundamentals: advanced DSA, system design (distributed systems a must), design patterns.
• Mastery of Kotlin/Java + modern React; real AWS experience (EC2, IAM, CLI—you know our stack).
• Proven "leap-taker": startup grit, side projects, or open-source that screams hunger.
• Figure-it-out velocity: you thrive in chaos, learn our domain overnight, and deliver 10x faster than peers.

This Role Is Not For You If…

• You need structured roadmaps, PM hand-holding, or big-tech process.
• Comfort > impact: stable salary over equity upside and chaos.
• You've never worn all hats (dev, ops, product) in a resource-constrained environment.

Why Join Us

• Massive ownership: lead tech for 10k+ students, direct founder access, shape ZeroMoblt's scale.
• Flat, high-trust team: flexible Hyderabad/remote, no bureaucracy.
• Hungry culture: we hire hustlers scaling from 700 to 10k students your wins are visible daily.
• Hungry to Leap? Apply now!

Mandatory Skills: ETL, Data Warehousing, Python, GCP Services

Required Skills:

● Bachelor’s degree in Computer Science or similar field or equivalent work experience.

● 4+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.

● Expert with data warehousing concepts, strategies, and tools.

● Strong SQL background.

● Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.

● Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS

● Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

● Knowledge of AWS and Azure Cloud is a plus.

● Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.

● Experience in integration using APIs, XML, JSONs etc.

● In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes

● Good understanding of SDLC, Agile and Scrum processes.

● Strong problem-solving, multi-tasking, and organizational skills.

● Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.

● Good written and verbal communication skills.

● Demonstrated experience of leading a team spread across multiple locations.

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Work Schedule: 4 days work from office with rotational shifts, including night shifts as per business requirements.

Required Skills:

• Bachelor’s degree in Computer Science or similar field or equivalent work experience
• 3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects
• Expert with data warehousing concepts, strategies, and tools
• Strong SQL background
• Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL
• Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS
• Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS)
• Good to have a Mainframe skillset
• Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources
• Experience in integration using APIs, XML, JSONs etc.
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes
• Good understanding of SDLC, Agile and Scrum processes
• Strong problem-solving, multi-tasking, and organizational skills
• Highly proficient in working with large volumes of business data and strong understanding of database design and implementation
• Good written and verbal communication skills
• Demonstrated experience of leading a team spread across multiple locations

Roles & Responsibilities:

• Work with business users and other stakeholders to understand business processes
• Ability to design and implement Dimensional and Fact tables
• Identify and implement data transformation/cleansing requirements
• Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
• Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
• Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
• Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions
• Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use
• Analyze and resolve problems and provide technical assistance as necessary
• Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality
• Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions
• Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics
• Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions
• Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements
• Train business end-users, IT analysts, and developers

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Architect/Lead-Python(Hands-on experience with at least one SaaS ingestion platform such as Fivetran ,Airbyte,etc. is mandatory.)

Location : Noida, Delhi/NCR(Hybrid)

Experience : 8- 14 years

Education : BTech / BE / MCA / MSc Computer Science

Must have :

- 6+ years of data engineering; at least 3 years working on connector or integration framework development

- Deep Python expertise including PySpark, pyarrow, and an understanding of Spark's execution model (driver vs executor, serialization constraints, partition fan-out)

- Hands-on experience with at least one SaaS ingestion platform Fivetran, Airbyte, Google DTS, AWS Glue connectors, or equivalent at the connector-build level, not just configuration

- Strong understanding of OAuth 2.0 flows (auth code, PKCE, client credentials, JWT), rate limiting strategies (token bucket, leaky bucket, per-endpoint quotas), and incremental sync patterns (cursor, watermark, CDC)

- Experience designing shared connector frameworks reusable auth managers, rate governors, state stores not just per-connector scripts

- Ability to author and own TDDs and PRDs that can be handed to a junior engineer with minimal back-and-forth

Nice to have :

- Prior exposure to Databricks Asset Bundles / Declarative Automation Bundles or Lakeflow pipelines

- Experience with the Databricks Python Data Source API (DBR 15.4 LTS+) extremely rare, so treat practical Spark DSv2 Java/Scala background as equivalent

- GCP DTS or Cloud Data Fusion connector experience

- Knowledge of the specific source systems, particularly Social Ads APIs (Meta, LinkedIn, X) or enterprise SaaS (Salesforce, Oracle)

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

Title - Engineering Manager

Location – Remote

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people.

We believe that every role has meaning, and every Egnyter should

be respected. With 17,000 customers worldwide and growing, you

can make an impact by protecting their valuable data. When joining

Egnyte, you’re not just landing a new career, you become part of a

team of Egnyters that are doers, thinkers, and collaborators who

embrace and live by our values:

• Invested Relationships
• Fiscal Prudence
• Candid Conversations

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content

security and governance that enables organizations to

better protect and collaborate on their most valuable

content. Established in 2008, Egnyte has democratized

cloud content security for more than 17,000 organizations,

helping customers improve data security, maintain

compliance, prevent and detect ransomware threats, and

boost employee productivity on any app, any cloud,

anywhere. For more information, visit www.egnyte.com

WHAT YOU’LL DO & QUALIFICATIONS:

Experience:

• 12+ years of software engineering experience, with 4+ years managing backend or infrastructure teams (including managing senior and staff engineers).
• Proven track record operating high-scale production systems— petabyte-scale, with tens of thousands of requests per second or more.
• Deep, hands-on expertise with object stores or distributed storage systems, including consistent hashing, quorum and replication protocols, erasure coding, storage tiering, compaction, garbage collection, and the trade-offs in an S3-style API.
• Strong systems fundamentals: storage, networking, OS, concurrency, and performance engineering.

Technical skills:

• Strong coding ability in Java and Python.
• Production experience with the surrounding stack: nginx,
• HAProxy, Redis, MySQL. Practical experience running
• workloads on GCP and Azure, and a working knowledge of
• AWS S3 (API semantics, consistency model, operational
• behavior).
• Experience with observability, capacity planning, and cost
• engineering at scale.

Leadership:

• A player-coach mindset — leading through clarity of technical
• vision, strong hiring, and high standards, not through distance
• from the work.
• Track record of building durable, inclusive teams and
• developing engineers into tech leads and managers.
• Excellent written and verbal communication.
• Calm and effective during incidents; thoughtful and structured
• afterward.

Nice to Have

• Experience building or operating an S3-compatible service, or
• contributions to an open-source storage system (Ceph, MinIO,
• SeaweedFS, HDFS, Cassandra, etc.).
• Experience with content-addressable storage, deduplication,
• encryption-at-rest, and compliance regimes (SOC 2, HIPAA,
• FedRAMP, GDPR).
• Experience running multi-region, multi-cloud storage
• footprints and managing petabyte-scale migrations

BENEFITS:

• Competitive salaries
• Medical insurance and healthcare benefits for you and your
• family
• Fully paid premiums for Term life insurance
• Personal Accident Insurance
• Flexible hours and PTO
• Gym and fitness reimbursement
• Childcare reimbursement

Equal Employment Opportunity

At Egnyte, we celebrate our unique differences and thrive on our

diversity for our employees, our products, our customers, our

investors, and our communities. Our global Egnyte Employee

Communities (EECs) support representation and inclusion across our

diverse workplace. Egnyters are encouraged to bring their whole

selves to work and to appreciate the many differences that

collectively make Egnyte a higher-performing company and a great

place to be.

Any employees with questions or concerns about equal employment

opportunities in the workplace are encouraged to bring these issues

to the attention of hr at egnyte.com. Egnyte will not allow any form of

retaliation against employees who raise issues of equal employment

opportunity. If employees feel they have been subjected to any such

retaliation, they should contact hr at egnyte.com. To ensure the

workplace is free of artificial barriers, violation of this policy

including any improper retaliatory conduct will lead to discipline, up

to and including discharge. All employees must cooperate with all

investigations conducted pursuant to this policy.

Immediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)

OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.

Key Skills

• Google Cloud Platform (GCP)
• Terraform / Infrastructure as Code (IaC)
• Kubernetes & Helm Charts
• CI/CD – Jenkins, GitLab CI, GitHub Actions
• Linux Administration
• Scripting – Python / Go / Java
• 
  

Role Responsibilities

• Build and manage scalable cloud infrastructure on GCP
• Automate deployments and infrastructure provisioning
• Ensure system reliability, monitoring, and performance optimization
• Collaborate with development and operations teams for seamless delivery

📍 Locations: Mumbai & Bengaluru (On-site)

⚡ Immediate Joiners Preferred

💼 Experience: 4–9 Years

Required Skills

• 4+ years of hands-on experience in data modeling and business intelligence, with a strong focus on Looker semantic layer development and dashboard creation.
• Deep expertise in LookML, including views, models, explores, and Persistent Derived Tables (PDTs).
• Strong experience in implementing data governance, row-level security, and access filters within Looker.
• Hands-on experience in building, maintaining, and optimizing Looker dashboards and reports.
• Strong proficiency in SQL and mandatory experience working with GCP data platforms such as BigQuery.
• Experience with Git/version control systems for LookML code management and deployments.
• Ability to translate complex business requirements into scalable and reusable LookML models.
• Strong communication and collaboration skills with experience working in global cross-functional teams.

We are looking for a BI professional with strong expertise in Tableau development, analytics, and reporting solutions. The ideal candidate should have hands-on experience in building, maintaining, and optimizing business-critical dashboards while collaborating with business and data teams.

Key Responsibilities:

• Develop, maintain, and optimize Tableau dashboards and reporting solutions across Finance, HR, Operations, and Product domains.
• Manage Tableau Server activities including publishing, performance optimization, and data source management.
• Analyze and resolve dashboard defects, enhancement requests, and data-related issues from stakeholders.
• Perform complex data manipulation, calculations, parameterization, and implement advanced Tableau features.
• Write and optimize SQL queries on GCP data platforms such as BigQuery.
• Use Python scripting for data processing, automation, and backend support related to BI solutions.
• Collaborate with Product Managers, business users, and data engineering teams to deliver scalable reporting capabilities.
• Follow best practices in data warehousing, semantic modeling, version control (Git), and CI/CD workflows.

Required Skills:

• Strong hands-on experience with Tableau Desktop and Tableau Server.
• Expertise in dashboard development, reporting, and performance optimization.
• Mandatory experience working on GCP, especially BigQuery.
• Strong SQL skills with experience optimizing reporting workloads.
• Hands-on experience with Python scripting for BI/reporting support.
• Good understanding of data warehousing and reporting best practices.
• Experience with Git and CI/CD practices for BI deployments.
• Strong analytical, problem-solving, and stakeholder management skills.

About koolio.ai

Website: www.koolio.ai

koolio Inc. is a cutting-edge Silicon Valley startup dedicated to transforming how stories are told through audio. Our mission is to democratize audio content creation by empowering individuals and businesses to effortlessly produce high-quality, professional-grade content. Leveraging AI and intuitive web-based tools, koolio.ai enables creators to craft, edit, and distribute audio content—from storytelling to educational materials, brand marketing, and beyond—easily. We are passionate about helping people and organizations share their voices, fostering creativity, collaboration, and engaging storytelling for a wide range of use cases.

About the Full-Time Position

We are seeking a Junior Backend Engineer (Fresher) to join our team on a full-time, hybrid basis. This role is ideal for motivated recent graduates eager to gain hands-on experience in backend development. Working closely with senior engineers, you’ll play a vital role in enhancing koolio.ai’s backend infrastructure, focusing on building, maintaining, and optimizing server-side applications and APIs. This is a unique opportunity to grow within an innovative environment that values creativity and technical excellence.

Key Responsibilities:

• Assist in developing and maintaining backend services and APIs, ensuring stability, scalability, and performance
• Collaborate with the frontend and QA teams to ensure seamless integration of backend systems with user-facing features
• Help troubleshoot and resolve backend issues, working alongside senior developers to enhance system reliability
• Participate in code reviews, learning best practices and contributing to maintaining high code quality standards
• Support in monitoring and improving backend performance metrics
• Document processes, code, and system architecture under guidance to ensure comprehensive, up-to-date technical resources

Requirements and Skills:

• Education: Degree in Computer Science or a related field
• Work Experience: No prior work experience required; internships or academic projects related to backend development are a plus
• Technical Skills:
• Basic understanding of backend systems and APIs
• Working experience in Python
• Familiarity with basic version control systems like Git
• Knowledge of databases (e.g., MySQL, MongoDB) and basic proficiency in SQL
• Understanding of cloud platforms or services like Google Cloud is an advantage
• Soft Skills:
• Eagerness to learn and apply new technologies in a fast-paced environment
• Strong analytical and problem-solving skills
• Excellent attention to detail and a proactive mindset
• Ability to communicate effectively and work in a collaborative, remote team
• Other Skills: 
• Familiarity with basic DevOps practices or interest in learning is beneficial

Compensation and Benefits:

• Total Yearly Compensation: ₹4.5-6 LPA based on skills and experience
• Health Insurance: Comprehensive health coverage provided by the company

Why Join Us?

• Be a part of a passionate and visionary team at the forefront of audio content creation
• Work on an exciting, evolving product that is reshaping the way audio content is created and consumed
• Thrive in a fast-moving, self-learning startup environment that values innovation, adaptability, and continuous improvement
• Enjoy the flexibility of a full-time hybrid position with opportunities to grow professionally and expand your skills
• Collaborate with talented professionals from around the world, contributing to a product that has a real-world impact

Position: Cloud Sales Executive Industry: Web Hosting & Cloud Solutions Experience: 1–4Years Location: Amrapali Circle, Vaishali Nagar, Jaipur. Employment Type: Full-Time About Us: We are a fast-growing web hosting and cloud services provider, delivering secure, scalable, and reliable digital infrastructure to businesses across industries. With a commitment to performance, innovation, and customer success, we empower clients with world-class solutions like Shared Hosting, VPS, Dedicated Servers, Reseller Hosting, and cloud offerings on AWS, Azure, and Google Cloud. We're looking for a Senior Business Development Executive who thrives in a fast-paced, tech-driven environment and is passionate about driving growth through strategic outreach and relationship building. Role Overview: As a Senior Business Development Executive, you will be responsible for identifying, engaging, and converting prospective clients into long-term partners. You will leverage multiple channels such as cold calls, emails, LinkedIn networking, and industry events to generate quality leads and close sales. This role requires in-depth IT sales knowledge, excellent communication skills, and a solid understanding of cloud technologies and modern hosting infrastructure. You’ll be the bridge between client needs and our technical capabilities, offering customized solutions that drive real business value. Key Responsibilities: o Proactively identify potential clients using calls, emails, social media (especially LinkedIn), and industry connections o Build and maintain a pipeline of qualified leads in Google Sheets, ensuring all interactions are logged and updated o Understand client requirements, pain points, and business goals to recommend suitable hosting or cloud solutions o Conduct product walkthroughs, presentations, and consultations to guide decision-making o Prepare professional, customized proposals, pricing quotations, and service agreements o Handle negotiations with confidence, ensuring win-win outcomes for both client and company o Will be responsible for B2B and B2C and Pre-Sales and Post Sales and Tech teams to ensure accurate scoping and troubleshooting. o Close deals and ensure a smooth handoff to onboarding and support teams o Stay updated with industry trends, competitor activities, and emerging cloud technologies (AWS, Azure, GCP, Linode) o Educate clients on the benefits of moving to the cloud or upgrading their hosting infrastructure o Work with the marketing team to align outreach strategies and campaign goals o Participate in webinars, exhibitions, and other marketing events to represent the company What We’re Looking For: • 4–6 years of proven experience in business development, preferably in web hosting, cloud, or IT infrastructure sales • Strong knowledge of web hosting services and cloud technologies like AWS, Azure, GCP, Linode and more. • Exceptional written and verbal communication skills • Ability to prepare accurate, compelling quotations and proposals • Self-driven, goal-oriented, and confident in both outbound sales and consultative selling • Strong presentation, negotiation, and relationship management skills • Ability to work independently while contributing to a collaborative team culture Preferred Skills (Bonus Points): • Technical certifications in cloud platforms (AWS/Azure/GCP, Linode) • Experience in managed web hosting services • Basic understanding of B2B and B2C Selling What We Offer: • Salary as per industry with performance-based incentives • A supportive and collaborative team environment • Opportunities for learning and certification in cloud and IT technologies • Career growth in a rapidly expanding company 

Job Summary

We are looking for a skilled AI/ML Engineer with strong expertise in Python, Machine Learning, and Cloud technologies. The ideal candidate should have experience in building, deploying, and optimizing AI/ML models and scalable backend systems in cloud environments.

Key Responsibilities

• Design, develop, and deploy AI/ML models for real-world business use cases
• Build scalable backend systems and ML pipelines using Python
• Work on data preprocessing, feature engineering, model training, and evaluation
• Deploy and manage ML models on cloud platforms such as AWS, Azure, or GCP
• Develop REST APIs and microservices for AI-driven applications
• Collaborate with data engineers, product teams, and developers to deliver AI solutions
• Optimize model performance, scalability, and inference speed
• Work with structured and unstructured datasets for predictive analytics and automation
• Monitor, troubleshoot, and improve deployed ML systems

Required Skills

• Strong proficiency in Python
• Hands-on experience with Machine Learning frameworks:
• Scikit-learn
• TensorFlow / PyTorch
• Experience in AI/ML model development and deployment
• Good understanding of:
• Data Structures & Algorithms
• Model training & evaluation
• Data preprocessing
• Experience with cloud platforms:
• AWS / Azure / Google Cloud Platform
• Knowledge of REST APIs and backend development
• Experience with databases such as PostgreSQL, MySQL, or MongoDB
• Familiarity with Docker, Kubernetes, or CI/CD pipelines
• Strong debugging and analytical skills

Good-to-Have Skills

• Experience with NLP, LLMs, or Generative AI
• Exposure to MLOps tools and workflows
• Knowledge of FastAPI or Flask
• Experience with distributed systems or microservices architecture
• Familiarity with vector databases and AI integrations

Preferred Qualifications

• Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
• Experience working in Agile/Scrum environments
• Strong communication and collaboration skills

Desired Profile

• Passion for AI and emerging technologies
• Strong ownership and problem-solving mindset
• Ability to work independently and in a fast-paced environment
• Eagerness to learn and adapt to new tools and technologies 

Designation: Cloud Sales Specialist (AWS/GCP/AZURE) (Field Sales)

Location: Mumbai (Andheri West) / Bengaluru

Experience: 5 to 10 Years relevant experience

Industry: Cloud Solutions/IT Services

About the Role

We are looking for a high-performing Sales Specialist (Field Sales) with strong industry connect & solution selling and a proven ability to close high-value deals.

This role is ideal for someone who is a true sales hunter, with strong CXO-level connect, ability to independently drive revenue through field engagement, principal vendors’ connections and strategic selling.

Important Note 

This role strictly requires hands-on Cloud Sales experience and existing CXO connections. Profiles from non-cloud or purely generic IT sales backgrounds will not be considered.

Key Responsibilities

• Own and drive end-to-end field sales for Cloud Services (AWS/Azure/GCP)
• Manage the region by Identifying, acquiring, and growing new business opportunities
• Build and leverage CXO-level relationships to drive business
• in-person client meetings, presentations, and solution positioning
• Collaborate with pre-sales & technical teams for solution-based selling
• Manage complete sales cycle: prospecting → negotiation → closure
• Consistently achieve and exceed sales targets
• Maintain strong pipeline management and forecasting discipline

Must-Have Experience

• 5-10 years in core Cloud Sales (AWS / Azure / GCP / Cloud Solutions)
• Proven track record in closing high-value deals
• Strong existing CXO / decision-maker connects (mandatory)
• Hands-on experience in field sales & direct client engagement
• Strong understanding of cloud ecosystem & solution selling

What Makes You a Great Fit

• A go-getter sales professional with strong hunting ability
• Ability to open doors, build trust, and close deals independently
• Strong network across decision-makers and business stakeholders
• High ownership mindset with a target-driven approach

What’s in It for You

• Opportunity to work directly with CXOs and key decision-makers
• Fast-track growth into leadership roles
• Exposure to leading cloud ecosystems (AWS / Azure / GCP)

Build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. Hands-on role focused on shipping scalable AI systems across GenAI, agentic workflows, traditional ML, and computer vision.

Key Responsibilities:

Generative AI & Agentic Systems

• Design and build GenAI applications (RAG, agentic workflows, multi-agent systems)
• Develop intelligent systems with memory, planning, and reasoning capabilities
• Implement prompt engineering, context optimization, and evaluation frameworks
• Build observable and reliable multi-agent architectures

Traditional ML & Computer Vision

• Develop ML pipelines (forecasting, recommendation, classification, regression)
• Build production-grade computer vision solutions (document AI, image analysis)
• Perform feature engineering, model optimization, and benchmarking

MLOps & Production Engineering

• Own end-to-end ML lifecycle (CI/CD, testing, versioning, deployment)
• Build scalable APIs, microservices, and data pipelines
• Monitor models, detect drift, and implement A/B testing frameworks

Knowledge Solutions

• Architect knowledge graphs and semantic search systems
• Implement hybrid retrieval (vector + keyword search)

Client Collaboration

• Present technical solutions to enterprise clients
• Collaborate with architects, data engineers, and business teams

Required Skills & Experience

• 3–6 years of hands-on ML Engineering experience
• Strong Python and software engineering fundamentals
• Experience shipping production ML systems on cloud (GCP preferred)
• Experience across GenAI, Traditional ML, Computer Vision
• MLOps experience and RAG-based systems

Preferred

• GCP Professional ML Engineer certification
• Knowledge graphs / semantic search experience
• Experience in regulated industries (Healthcare / BFSI)
• Open-source or technical publications

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Role Overview:

Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.

Work Location: Pune

Job Type: Hybrid

Role Responsibilities:

• GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
• Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
• Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
• Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
• Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
• Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
• Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
• Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.

Required Qualifications:

• Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
• 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
• Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
• Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
• Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
• Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
• Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
• Comfort operating hybrid environments that include both Linux and Windows ecosystems.
• Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
• Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.

Good to Have:

• Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
• Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
• Exposure to AWS or other public clouds in addition to GCP.
• Experience operating SaaS platforms built on microservices architectures.

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

About the Role

We are seeking a proactive and detail-oriented Site Reliability Engineer (SRE) with 3+ years of experience to ensure high availability, reliability, and performance of production systems.

This role focuses on automation, observability, incident management, and cross-team coordination to drive operational excellence.

Key Responsibilities

· Maintain reliable, scalable, and secure production environments.

· Implement and manage monitoring, alerting, and logging solutions.

· Contribute to defining and tracking SLIs/SLOs and support error budget practices.

· Automate operational tasks to improve efficiency and reduce manual effort.

· Perform troubleshooting and Root Cause Analysis (RCA) for production incidents.

· Optimize system performance, availability, and capacity.

· Maintain runbooks, SOPs, and incident documentation in Confluence.

· Adhere to change management, deployment governance, and disaster recovery standards.

· Support incident response for critical production services.

Collaboration & Tools

· Coordinate with external vendors and internal cross-functional teams.

· Work closely with Engineering, Product Owners, and Operations teams.

· Manage incidents and changes using ServiceNow & JIRA.

· Collaborate through Slack and structured communication channels.

Technical Skills

Systems & Cloud

· Strong knowledge of Windows and Linux/Unix systems.

· Solid understanding of networking fundamentals (DNS, TCP/IP, Load Balancing, Firewalls).

· Experience with at least one cloud platform (AWS, Azure, or GCP).

Automation & CI/CD

· Proficiency in one scripting/programming language (Python, Go, Bash, PowerShell, or Java).

· Understanding of CI/CD pipelines and automation practices.

Containers & Observability

· Hands-on experience with Docker and Kubernetes.

· Experience with monitoring tools such as Grafana or Power BI.

· Ability to analyze logs, metrics, and traces for troubleshooting.

ITSM & Documentation

· Experience with ServiceNow & JIRA (incident/change/problem workflows).

· Working knowledge of Confluence for technical documentation and knowledge management.

Additional Experience (Preferred)

· Background in DevOps, Cloud Engineering, or Platform Engineering.

· Understanding of security best practices and compliance standards.

· Familiarity with AI-assisted engineering tools (Claude Code, Jellyfish, GitHub Copilot).

· Exposure to large-scale or production-grade systems.

Soft Skills

· Strong analytical and troubleshooting mindset.

· Excellent written and verbal communication skills.

· Effective stakeholder and vendor coordination.

· Ownership-driven and composed during high-severity incidents.

Applying to jobs at Ampera is completely free. We never ask candidates for any payment.

Company Description

Eassy Onboard LLP is a team of Databricks Certified Data Engineers committed to empowering businesses through data-driven solutions. Specializing in automated workflows, scalable architectures, optimized data pipelines, and AI solutions, we help organizations reduce manual effort, optimize costs, and achieve reliable insights. We ensure secure data operations with robust validation processes and strong data integrity. As an Employer of Record (EOR), we assist global companies in hiring top Indian talent, managing payroll, compliance, and regulatory requirements. Our mission is to accelerate enterprise transformation and enable companies to build future-ready, compliant teams.

Role Description

We are seeking a Senior Data Engineer with deep expertise in Spark/PySpark/SQL to join our data team.

This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers, and shaping data strategy.

You will architect systems that power high-performance data processing, enable advanced analytics, and accelerate AI initiatives.

What You'll Do

• Design and evolve scalable, distributed data infrastructure across cloud platforms including GCP and AWS.
• Build and maintain real-time and batch data processing pipelines supporting AI/ML workloads, consumer applications, and analytics.
• Develop and manage integrations with third-party e-commerce platforms to expand the data ecosystem.
• Ensure data availability, reliability, and quality through monitoring and automated auditing.
• Partner with engineering, AI, and product teams on data solutions for business-critical needs.
• Mentor and support data engineers, establishing best practices and code quality standards.

Qualifications

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of software development and data engineering experience with ownership of production-grade data infrastructure.
• Deep expertise scaling Spark, PySpark, and SQL in production, including Databricks or DataProc on GCP.
• Strong understanding of distributed computing and modern data modeling for scalable systems.
• Proficient in Python with experience implementing software engineering best practices.
• Hands-on experience with both relational and NoSQL systems including MySQL, MongoDB, and Elasticsearch.
• Strong communicator with experience influencing cross-functional stakeholders.

Nice to Have

• Experience with job orchestration and containerization tools such as Airflow and Docker.
• Experience working with vector stores and knowledge graphs.
• Experience working in early-stage, high-growth environments.
• Familiarity with MLOps pipelines and integrating ML models into data workflows.
• A proactive, problem-solving mindset with a passion for innovative solutions.

we are currently hiring for Junior DevOps Developer 

Can you pls check below Job Description for the post 

Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)

Job Title: Junior DevOps Developer

Experience: 6 months to 1.5 years

Employment Type: Full-time

About the Role:

We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.

Key Responsibilities:

• Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
• Support CI/CD pipeline setup and maintenance
• Help automate deployment processes and routine tasks
• Monitor system performance and troubleshoot issues
• Assist in containerization using Docker and Kubernetes
• Perform root cause analysis for production issues
• Collaborate with developers to improve system performance and scalability
• Maintain documentation for infrastructure and processes
• cloud platform and infrastructure include hetzener

Required Skills:

• Basic understanding of DevOps concepts and workflows
• Knowledge of cloud platforms like AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Basic understanding of Infrastructure as Code tools (Terraform is a plus)
• Knowledge of Git and version control systems
• Basic scripting knowledge (Bash/Python preferred)

Good to Have:

• Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Understanding of monitoring tools (Grafana, Prometheus) 
• Understanding of monitoring tools (Grafana, Prometheus) 

You can contact me on this WhatsApp number: Nine three one six one two zero one three two

Location: Chennai (Hybrid)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

Job Overview:

We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.

The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.

Key Responsibilities:

• Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
• Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
• Monitor system health, troubleshoot issues, and ensure high availability of services.
• Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
• Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
• Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
• Support deployment and integration of AI/ML models into production environments.
• Collaborate with engineering and development teams to optimize infrastructure and application performance.
• Participate in technical discussions, documentation, and client support activities when required.

Required Skills & Qualifications:

• Strong knowledge of Windows and Linux system administration.
• Good understanding of networking, servers, and cloud fundamentals.
• Experience or exposure to AWS, Azure, or GCP.
• Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
• Basic understanding of cybersecurity principles and system hardening.
• Familiarity with AI/ML concepts and deployment workflows is an advantage.
• Strong analytical and troubleshooting skills.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with virtualization and containerization (VMware, Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Exposure to MLOps concepts and model deployment workflows.
• Understanding of monitoring tools and logging systems.
• Experience working in hybrid or enterprise IT environments.

What We Offer:

• Exposure to enterprise-level infrastructure and cloud environments.
• Opportunity to work on real-world AI/ML integration projects.
• Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
• Collaborative work environment with hands-on learning opportunities.
• Competitive compensation and long-term growth path.

Who Should Apply:

• Freshers or candidates with up to 2 years of experience.
• Candidates passionate about system administration, cloud computing, and AI/ML.
• Individuals eager to work in infrastructure-heavy, production environments.
• Strong communicators who can work in team-oriented and client-facing roles.

Role & Responsibilities

• Develop and deliver automation software to build and improve platform functionality
• Ensure reliability, availability, and manageability of applications and cloud platforms
• Champion adoption of Infrastructure as Code (IaC) practices
• Design and build self-service, self-healing, monitoring, and alerting platforms
• Automate development and testing workflows through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers)
• Build and manage container hosting platforms using Kubernetes

Requirements

• Strong experience deploying and maintaining GCP cloud infrastructure
• Well-versed in service-oriented and cloud-based architecture design patterns
• Knowledge of cloud services including compute, storage, networking, messaging, and automation tools (e.g., CloudFormation/Terraform equivalents)
• Experience with relational and NoSQL databases (Postgres, Cassandra)
• Hands-on experience with automation/configuration tools (Puppet, Chef, Ansible, Terraform)

Additional Skills

• Strong Linux system administration and troubleshooting skills
• Programming/scripting exposure (Bash, Python, Core Java, or Scala)
• CI/CD pipeline experience (Jenkins, Git, Maven, etc.)
• Experience integrating solutions in multi-region environments
• Familiarity with Agile/Scrum/DevOps methodologies

We're hiring a Tech Lead to own the backend architecture and engineering culture of a fast-growing HR-Tech platform used by 100+ enterprise clients across India.

This isn't a "manage the team and attend standups" role. You'll be hands-on with architecture decisions, own the deployment environment, and work directly with founders who came from Gallup and IIM Ahmedabad.

The stack is Node.js, Docker, Kafka, and cloud (AWS / Azure / GCP).

The role is right for you if:

- You've led backend teams and still enjoy being close to the code

- You've built or significantly improved a CI/CD pipeline in production

- You can explain a technical trade-off to a business stakeholder without making them feel talked down to

- You want ownership, not just a title.

What you'll be doing:

- Designing and maintaining backend systems built for scale, security, and reliability

- Leading and mentoring a team of backend engineers through sprint cycles and beyond

- Owning cloud infrastructure (AWS / Azure / GCP) and keeping deployments stable and fast

- Improving CI/CD practices and automating what shouldn't require human intervention

- Translating product requirements into technical specs the team can actually execute

- Conducting code reviews that raise quality without slowing people down

- Working directly with founders and business stakeholders — not through layers of management

What we're looking for:

- 5–8 years of software engineering experience, with at least 2 years in a lead or senior role

- Strong backend development skills in Node.js (Python or Java is a bonus)

- Hands-on cloud experience — building and managing infrastructure, not just deploying to it

- Comfort with Docker, Kafka, and Linux environments

- Experience running Agile teams — sprint planning, retrospectives, the works

- Clear communication and the ability to make decisions under ambiguity

- B.Tech / B.E. in Computer Science or Information Technology

Location: Mumbai (on-site) Experience: 5–8 years Start: Immediate

If this sounds like the role you've been looking for, apply below or send a message directly. The process is fast and so is the decision.

Role & Responsibilities

• Develop and deliver automation software to build and improve platform functionality
• Ensure reliability, availability, and manageability of applications and cloud platforms
• Champion adoption of Infrastructure as Code (IaC) practices
• Design and build self-service, self-healing, monitoring, and alerting platforms
• Automate development and testing workflows through CI/CD pipelines (Git, Jenkins, SonarQube, Artifactory, Docker containers)
• Build and manage container hosting platforms using Kubernetes

Requirements

• Strong experience deploying and maintaining GCP cloud infrastructure
• Well-versed in service-oriented and cloud-based architecture design patterns
• Knowledge of cloud services including compute, storage, networking, messaging, and automation tools (e.g., CloudFormation/Terraform equivalents)
• Experience with relational and NoSQL databases (Postgres, Cassandra)
• Hands-on experience with automation/configuration tools (Puppet, Chef, Ansible, Terraform)

Additional Skills

• Strong Linux system administration and troubleshooting skills
• Programming/scripting exposure (Bash, Python, Core Java, or Scala)
• CI/CD pipeline experience (Jenkins, Git, Maven, etc.)
• Experience integrating solutions in multi-region environments
• Familiarity with Agile/Scrum/DevOps methodologies

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Your Mission: The Role

solving for better.

You are a reliability-owning, hands-on solver. Not just a "break-fix engineer."

As a DRI (directly responsible individual) for our clients' most critical systems, you’ll be the go-to expert within the squad that ensures their environments are secure, reliable, and optimized 24/7. You will deliver measurable impact – improved uptime, faster response times, and real cost savings. Not just closed tickets. Not just alerts. Real outcomes you engineer yourself.

You will lead the charge on technical execution, from complex troubleshooting and root cause analysis to engineering proactive, automated solutions. This role is about building the future of reliable cloud operations and shipping it into today's production environments.

Your Responsibilities

what you will wake up to solve.

This isn’t a “manage tickets” role. You are the architect, the executioner and the DRI for our Cloud Managed Services GTM, deploying solutions that turn operational noise into hardened outcomes. Here’s how you’ll make your mark:

• Own Service Reliability: You will be the go-to technical expert for 24/7 cloud operations and incident management. You'll ensure strict adherence to SLOs by getting your hands dirty, leading high-stakes troubleshooting to deliver a superior client experience.
• Engineer the Blueprint: You'll translate client needs into scalable, automated, and secure cloud architectures. You will write and maintain the operational playbooks and Infrastructure as Code (IaC) that your squad uses every day.
• Automate with Intelligence: You'll lead the charge from the keyboard to futurify our operations. You'll embed AI-driven automation, predictive monitoring, and AIOps into core processes to eliminate toil and preempt incidents.
• Drive FinOps & Impact: You'll own the technical execution of the FinOps framework. You will continuously analyze, configure, and optimize cloud spend for clients through hands-on engineering.
• Be the Expert in the Room: You'll share your knowledge through internal demos, documentation, and technical deep dives, representing the deep expertise that turns operational complexity into business resilience.
• Mentor & Elevate: You will be a technical mentor for your peers. Through code reviews and collaborative problem-solving, you'll help build a high-performing squad that lives the “Always Hardened” mindset.

Experience & Relevance

We are looking for future technology leaders, not just coders. We value raw intelligence, analytical rigor, and an obsessive passion for technology over any prior experience.

• Cloud Operations Pedigree: 3+ years of experience in GCP cloud infrastructure, with a significant portion in a cloud managed services.
• Commercial Acumen: Proven track record of building and scaling a net-new managed services business.
• Client-Facing Tech Acumen: 2+ years of experience in a client-facing technical role, acting as the trusted advisor for cloud operations, security, and reliability.

Functional Skills:

• Service Delivery Mindset: A deep understanding of MSP business models, SLAs, and the importance of client satisfaction in an operational context.
• Client Engagement: Ability to ask appropriate questions to get to the heart of an operational issue and win trust with stakeholders.
• Cross-Functional Catalyst: Thrive in multi-disciplinary teams, bringing together operations, security, and development teams.
• Repository builder: Creates reusable frameworks, IaC modules, and operational playbooks for scale.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

 Job Overview

We are looking for a DevOps Engineer with hands-on experience in GCP (Google Cloud Platform) to join our growing team. The ideal candidate should have experience in cloud infrastructure, CI/CD pipelines, and containerization, along with a strong understanding of DevOps best practices.

🚀 Key Responsibilities

• Design, implement, and manage cloud infrastructure on Google Cloud Platform (GCP)
• Build and maintain CI/CD pipelines for faster and reliable deployments
• Work with containerization and orchestration tools like Docker & Kubernetes
• Automate infrastructure provisioning using Terraform / Infrastructure as Code (IaC)
• Monitor system performance and ensure high availability and scalability
• Collaborate with development and QA teams for smooth release cycles
• Troubleshoot production issues and optimize system reliability

🛠️ Required Skills

• Hands-on experience with GCP services (Compute Engine, GKE, Cloud Storage, IAM)
• Strong knowledge of:
• Docker & Kubernetes
• CI/CD tools (Jenkins / GitHub Actions / GitLab CI)
• Terraform or similar IaC tools
• Scripting knowledge (Python / Bash)
• Familiarity with monitoring tools (Prometheus, Grafana, etc.)
• Good understanding of Linux systems

🎯 Preferred Candidate Profile

• 2+ years of experience in DevOps / Cloud Engineering
• Immediate joiners or candidates serving notice period preferred
• Strong problem-solving and communication skills

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We are looking for an Engineering Manager who combines technical depth with leadership strength. This role involves leading one or more product engineering pods, driving architecture decisions, ensuring delivery excellence, and working closely with stakeholders to build scalable web and mobile technology solutions. As a key part of our leadership team, you’ll play a pivotal role in mentoring engineers, improving processes, and fostering a culture of ownership, innovation, and continuous learning.

Roles and Responsibilities:

● Team Management: Lead, coach, and grow a team of 30-50 software engineers, tech leads, and QA engineers

● Technical Leadership: Guide the team in building scalable, high-performance web and mobile applications using modern frameworks and technologies

● Architecture Ownership: Architect robust, secure, and maintainable technology solutions aligned with product goals

● Project Execution: Ensure timely and high-quality delivery of projects by driving engineering best practices, agile processes, and cross-functional collaboration

● Stakeholder Collaboration: Act as a bridge between business stakeholders, product managers, and engineering teams to translate requirements into technology plans

● Culture & Growth: Help build and nurture a culture of technical excellence, accountability, and continuous improvement

● Hiring & Onboarding: Contribute to recruitment efforts, onboarding, and learning & development of team members.

Requirements:

● 8+ years of software development experience, with 2+ years in a technical leadership or engineering manager role

● Proven experience in architecting and building web and mobile applications at scale

● Hands-on knowledge of technologies such as JavaScript/TypeScript, Angular, React, Node.js, .NET, Java, Python, or similar stacks

● Solid understanding of cloud platforms (AWS/Azure/GCP) and DevOps practices

● Strong interpersonal skills with a proven ability to manage stakeholders and lead diverse teams

● Excellent problem-solving, communication, and organizational skills

● Nice to have:

• Prior experience in working with startups or product-based companies
• Experience mentoring tech leads and helping shape engineering culture
• Exposure to AI/ML, data engineering, or platform thinking

Why Join Us?

● Opportunity to work on a cutting-edge healthcare product

● A collaborative and learning-driven environment

● Exposure to AI and software engineering innovations

● Excellent work ethics and culture.

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

We are seeking a skilled Data Engineer to join the AI Platform Capabilities team supporting the UDP Uplift program.

In this role, you will design, build, and test standardized data and AI platform capabilities across a multi-cloud environment (Azure & GCP).

You will collaborate closely with AI use case teams to develop:

• Scalable data pipelines
• Reusable data products
• Foundational data infrastructure

Your work will support advanced AI solutions such as:

• GenAI
• RAG (Retrieval-Augmented Generation)
• Document Intelligence

Key Responsibilities

• Design and develop scalable ETL/ELT pipelines for AI workloads
• Build and optimize data pipelines for structured & unstructured data
• Enable context processing & vector store integrations
• Support streaming data workflows and batch processing
• Ensure adherence to enterprise data models, governance, and security standards
• Collaborate with DataOps, MLOps, Security, and business teams (LBUs)
• Contribute to data lifecycle management for AI platforms

Required Skills

• 5–7 years of hands-on experience in Data Engineering
• Strong expertise in Python and advanced SQL
• Experience with GCP and/or Azure cloud-native data services
• Hands-on experience with PySpark / Spark SQL
• Experience building data pipelines for ML/AI workloads
• Understanding of CI/CD, Git, and Agile methodologies
• Knowledge of data quality, governance, and security practices
• Strong collaboration and stakeholder management skills

Nice-to-Have Skills

• Experience with Vector Databases / Vector Stores (for RAG pipelines)
• Familiarity with MLOps / GenAIOps concepts (feature stores, model registries, prompt management)
• Exposure to Knowledge Graphs / Context Stores / Document Intelligence workflows
• Experience with DBT (Data Build Tool)
• Knowledge of Infrastructure-as-Code (Terraform)
• Experience in multi-cloud deployments (Azure + GCP)
• Familiarity with event-driven systems (Kafka, Pub/Sub) & API integrations

Ideal Candidate Profile

• Strong data engineering foundation with AI/ML exposure
• Experience working in multi-cloud environments
• Ability to build production-grade, scalable data systems
• Comfortable working in cross-functional, fast-paced environments

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most systems don’t fail because of one big outage.

They fail because reliability is treated as an afterthought.

Right now, uptime depends too much on individual heroics.

That doesn’t scale.

This role exists to build a reliability system where:

• Uptime is predictable
• Failures are contained
• Escalations don’t depend on leadership

What you’ll do

You will not just monitor systems.

You will own reliability as a product.

1. Drive uptime to production-grade reliability

• Improve system uptime to 99.9% customer-facing SLA within 4 months
• Define and track:
• SLAs / SLOs / error budgets
• Ensure reliability is measured from the customer’s perspective, not internal metrics

2. Build incident response as a system

• Set up a 24/7 incident response rotation across 3 engineers
• Eliminate dependency on leadership (no single escalation point)
• Define:
• Incident severity levels
• Response playbooks
• Escalation protocols
• Ensure fast detection → containment → resolution

3. Contain and fix erratic system behavior

• Identify and resolve:
• Latency spikes
• Downtime incidents
• Integration failures
• Build guardrails to prevent recurrence
• Focus on root cause elimination, not temporary fixes

4. Create continuous reliability feedback loops

• Work closely with engineering teams to:
• Surface recurring failure patterns
• Improve build quality
• Reduce production bugs
• Ensure learnings from incidents directly improve future releases

5. Improve observability and monitoring

• Build dashboards and alerts for:
• System health
• Performance metrics
• Failure signals
• Ensure issues are detected before customers report them

6. Reduce operational fragility

• Remove single points of failure (people, systems, workflows)
• Improve system resilience across:
• Deployments
• Integrations
• Runtime environments

What success looks like

• Uptime reaches 99.9%+ reliably
• Incidents are:
• Detected early
• Contained quickly
• Resolved permanently
• No dependency on a single individual for escalation
• System behavior becomes predictable and stable
• Engineering teams ship with higher reliability confidence

Who you are

• You have 2-5 years of experience in SRE / DevOps / backend systems
• You have worked on production systems with real uptime expectations
• You think in:
• Systems
• Failure modes
• Trade-offs
• You are comfortable debugging live, high-pressure environments

What will make you stand out

• Experience with:
• Distributed systems
• Cloud infrastructure (AWS / Azure / GCP)
• Monitoring & alerting tools
• Have built or improved:
• Incident response systems
• Reliability frameworks
• Strong debugging skills across:
• Infra
• Application
• Integrations

Compensation

₹60,000/month (fixed)

(Aligned with role scope and impact expectations)

Why join

• You will define reliability standards for a production AI platform
• Your work directly impacts:
• Customer trust
• Product performance
• Enterprise readiness
• You will move the system from reactive → predictable

What this role is not

• Not just monitoring dashboards
• Not limited to handling tickets
• Not dependent on escalation to leadership

What this role is

• A builder of reliability systems
• A guardian of uptime and performance
• A multiplier of engineering quality

One question to self-evaluate

Can you build a system where downtime is rare, predictable, and never dependent on a single person?

Job Title : DevOps Engineer

Experience : 3+ Years

Location : Indiranagar, Bengaluru (Work From Office – 5 Days)

Employment Type : Full-Time

Work Timings : 11:00 AM to 7:00 PM IST

Notice Period : Immediate Joiners Preferred

Role Overview :

We are seeking a skilled DevOps Engineer with 3+ years of experience in building and managing scalable cloud-native infrastructure.

The ideal candidate will have strong expertise in Kubernetes and Helm, along with hands-on experience in deploying and maintaining production-grade systems on cloud platforms.

This role offers an opportunity to work in a high-growth startup environment, contributing to both existing systems and new infrastructure development.

Key Responsibilities :

• Design, deploy, and manage scalable infrastructure using Kubernetes.
• Build and maintain CI/CD pipelines for efficient and automated deployments.
• Manage and optimize cloud environments (preferably GCP).
• Implement Infrastructure as Code using Helm/Terraform.
• Monitor system performance and ensure high availability and reliability.
• Handle bug fixes, system improvements, and performance optimization.
• Collaborate with engineering teams to design scalable microservices architecture.
• Implement logging, monitoring, and alerting solutions.
• Ensure security best practices including IAM, secrets management, and network policies.

Mandatory Skills :

• Strong hands-on experience with Kubernetes.
• Expertise in Helm Charts.
• Experience with Google Cloud Platform (GCP).
• Hands-on experience with ArgoCD or similar CI/CD tools.
• Knowledge of CI/CD tools like Jenkins, GitHub Actions, GitLab CI.
• Experience in database hosting and scaling.

Nice to Have :

• Exposure to other cloud platforms (AWS/Azure).
• Experience with modern DevOps and automation tools.
• Ability to quickly learn and adapt to new technologies.

Team & Work Scope :

• No dedicated DevOps team currently – high ownership role.
• Work on both existing systems (maintenance & improvements) and new system builds (greenfield projects).
• Opportunity to shape DevOps practices and infrastructure from scratch.

Preferred Candidate Profile :

• 3+ years of relevant DevOps experience.
• Strong problem-solving and debugging skills.
• Experience working in fast-paced startup environments.
• Understanding of scalability, security, and performance optimization.
• Good communication and collaboration skills.

Hiring Process :

1. Profile Screening
2. GT Assessment
3. Technical Interview – Round 1
4. Technical Interview – Round 2
5. Final Round (if required with US team)

Role - IT Cloud Engineer/ Devops

• Proficient in Linux.
• Hands on experience with AWS cloud or Google Cloud.
• Knowledge of container technology like Docker.
• Expertise in scripting languages. (Shell scripting or Python scripting)
• Working knowledge of LAMP/LEMP stack, networking and version control system like Gitlab or Github.

Job Description:

The incumbent would be responsible for:

• Deployment of various infrastructures on Cloud platforms like AWS, GCP, Azure, OVH etc.
• Server monitoring, analysis and troubleshooting.
• Deploying multi-tier architectures using microservices.
• Integration of Container technologies like Docker, Kubernetes etc as per application requirement.
• Automating workflow with python or shell scripting.
• CI and CD integration for application lifecycle management.
• Hosting and managing websites on Linux machines.
• Frontend, backend and database optimization.
• Protecting operations by keeping information confidential.
• Providing information by collecting, analyzing, summarizing development & service issues.
• Prepares & installs solutions by determining and designing system specifications, standards & programming.

Lead Cloud Reliability Engineer

Job Responsibilities

● Lead and manage the Cloud Reliability teams to provide strong Managed Services support to end-customers.

● Isolate, troubleshoot and resolve issues reported by CMS clients in their cloud environment

● Drive the communication with the customer providing details about the issue, current steps, next plan of action, ETA

● Gather client's requirements related to use of specic cloud services and provide assistance in seing them up and resolving issues

● Create SOPs and knowledge articles for use by the L1 teams to resolve common issues

● Identify recurring issues, perform root cause analysis and propose/implement preventive actions

● Follow change management procedure to identify, record and implement changes

● Plan and deploy OS, security patches in Windows/Linux environment and upgrade k8s clusters

● Identify the recurring manual activities and contribute to automation

● Provide technical guidance and educate team members on development and operations. Monitor metrics and develop ways to improve.

● System troubleshooting and problem-solving across plaorm and application domains. Ability to use a wide variety of open-source technologies and cloud services.

● Build, maintain, and monitor conguration standards.

● Ensuring critical system security through using best-in-class cloud security solutions.

Qualifications

● 4-7 years experience in Cloud Infrastructure and Operations domains and IT operational experience preferably in a global enterprise environment.

● Specialize in one or two cloud deployment platforms: AWS, GCP

● Hands on experience with AWS/GCP services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine)

● Understanding of one or more programming languages (Python, JavaScript, Ruby, Java, .Net)

● Logging and Monitoring tools (ELK, Stackdriver, CloudWatch)

● Knowledge on Conguration Management tools such as Ansible, Terraform, Puppet, Chef

● Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)

● Good analytical, communication, problem solving, and learning skills.

● Knowledge on programming against cloud plaorms such as Google Cloud Platform and lean development methodologies.

● Strong service aitude and a commitment to quality.

● Willingness to work in shifts.

Summary:

We are seeking a highly skilled Python Backend Developer with proven expertise in FastAPI to join our team as a full-time contractor for 12 months. The ideal candidate will have 5+ years of experience in backend development, a strong understanding of API design, and the ability to deliver scalable, secure solutions. Knowledge of front-end technologies is an added advantage. Immediate joiners are preferred. This role requires full-time commitment—please apply only if you are not engaged in other projects.

Job Type:

Full-Time Contractor (12 months)

Location:

Remote

Experience:

3+ years in backend development

Key Responsibilities:

• Design, develop, and maintain robust backend services using Python and FastAPI.
•  Implement and manage Prisma ORM for database operations.
• Build scalable APIs and integrate with SQL databases and third-party services.
• Deploy and manage backend services using Azure Function Apps and Microsoft Azure Cloud.
• Collaborate with front-end developers and other team members to deliver high-quality web applications.
• Ensure application performance, security, and reliability.
• Participate in code reviews, testing, and deployment processes.

Required Skills:

• Expertise in Python backend development with strong experience in FastAPI.
• Solid understanding of RESTful API design and implementation.
• Proficiency in SQL databases and ORM tools (preferably Prisma)
• Hands-on experience with Microsoft Azure Cloud and Azure Function Apps.
• Familiarity with CI/CD pipelines and containerization (Docker).
• Knowledge of cloud architecture best practices.

Added Advantage:

• Front-end development knowledge (React, Angular, or similar frameworks).
• Exposure to AWS/GCP cloud platforms.
• Experience with NoSQL databases.

Eligibility:

• Minimum 3 years of professional experience in backend development.
• Available for full-time engagement.
• Please excuse if you are currently engaged in other projects—we require dedicated availability.

👉 Job Title: Backend Developer

🌟 Experience: 5-7 Years

💡Location: Bangalore

👉 Notice Period :- Immediate Joiners

💡 Work Mode - 5 Days work from Office

( Candidate Serving notice period are preffered)

Role Summary

We are looking for a Backend Engineer to join the Platform Implementation Team, responsible for building scalable, secure, and high-performance backend systems for a multi-cloud Data & AI platform. You will design microservices, develop REST APIs, and enable seamless data integration across enterprise systems like CRM and ERP.

💫 Key Responsibilities

✅ Design and develop scalable microservices and RESTful APIs

✅ Build event-driven architectures for asynchronous processing

✅ Integrate backend systems with cloud platforms (GCP/Azure)

✅ Ensure secure, reliable, and optimized data handling

✅ Collaborate with cross-functional teams (UI, Data, Platform)

✅ Follow best practices in coding, testing, CI/CD, and containerization

💫 Mandatory Skills (Top 3)

✅ Strong backend programming experience (Python / Node.js / Java)

✅ Expertise in API development & Microservices architecture

✅ Hands-on experience with Cloud platforms (GCP or Azure)

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

About the role:

We are looking for a skilled Data Engineer with hands-on expertise in Dagster orchestration or GCP with Bigquery and Apache Airflow, modern data pipeline development, and architecture implementation. The ideal candidate will design, build, and optimize scalable data pipelines with strong SQL proficiency, data modelling expertise.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Dagster.

• Build and manage Dagster components such as: o Ops / Assets o Schedules o Sensors o Jobs o Resource definitions

• Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers).

• Write optimized and production-grade SQL scripts for transformations and data validation.

• GCP, Big query, Apache Airflow – expertise is must if not familiar with Dagster and orchestration.

Must Have

• 4+ years of experience in Data Engineering.

• Strong hands-on experience with Dagster (optional) and workflow orchestration.

• Strong hands-on experience with GCP, Big query and Apache Airflow. • Solid understanding of data pipeline design patterns.

• Experience implementing Medallion Architecture.

• Advanced SQL skills (complex joins, CTEs, performance tuning).

• Experience working with GCP cloud data platform.

Why Join Us:

• Collaborative work environment.

• Exposure to modern tools and scalable application architectures.

• Medical cover for employee and eligible dependents.

• Tax beneficial salary structure.

• Comprehensive leave policy

• Competency development training programs.

 Company Overview:

     Planview has one mission: to build the future of connected work with market-leading portfolio management and work management solutions. Planview is a recognized innovator and industry leader, our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Our solutions span every class of work, resource, and organization to address the varying needs of diverse and distributed teams, departments, and enterprises.

As a Sr CloudOps Engineer II, you will oversee teams of Engineers and be a champion for configuration management, technologies in the cloud, and continuous improvement. You will work closely with global leaders to ensure that our applications, infrastructure, and processes are scalable, secure, and supportable. By leveraging your production experience and development skills you will work hand in hand with Engineers (Dev, DevOps, DBOps) to design and implement solutions that improve delivery of value to customers, reduce costs, and eliminate toil.

     Responsibilities (What you will do):

•  Guide the professional development of Engineers and support the teams to accomplish business goals
• Work closely with leaders in the Israel to align on priorities and architect, deliver, and manage our products
• Build systems that are secure, scalable, and self-healing.
• Manage and improve deployment pipelines.
• Triage and remediate production issues.
• Participate in on-call rotations for escalations.

Qualifications (What you will bring):

•   Bachelor's degree is CS or equivalent experience in related field.
• 2+ years managing Engineering teams.
• 8+ years of experience as a site reliability or platform engineer, preferably in a fast-scaling environment
• 5+ years administering Linux and Windows environments.
• 3+ years programming / scripting experience (e.g., Python, JavaScript, PowerShell)
• Strong technical knowledge in OS’s (Linux and Windows), virtualizations, storage systems, networking, and firewall implementations
• Maintaining production environments in the On Premise (90%) and Cloud (10%) (e.g., AWS, Google Cloud, Azure)
• Solid understanding of networking principles and how it applies to data flow and security.
• Automating deployments of cloud based available services (e.g., AWS EC2 / RDS, Docker, Kubernetes)
• Experience managing CI/CD infrastructures, with a strong proficiency in platforms like bitbucket and Jenkins to streamline deployment pipelines and ensure efficient software delivery.
• Management of resources using Infrastructure as Code tools (e.g., CloudFormation, Terraform, Chef)
• Knowledge of observability tools such as LogicMonitor, New Relic, Prometheus, and Coralogix, as well as their implementation.
• Worked within Agile and Lean software development teams.
• Experience working in globally distributed teams.
• Ability to look on the big picture and manage risks.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

1. Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

2. Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Why you’ll love being a ‘Searcian’

NOT your ‘usual’ management consultancy; we ‘solve differently’.

• We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
• The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
• No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
• No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
• No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
• Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
• Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
• Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
• You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
• Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

About Superclaims

Superclaims modernizes health insurance claims adjudication with intelligent automation. We help insurers and TPAs replace manual, document-heavy workflows with faster, more accurate decisions at scale.

Role: Python Backend Developer

We are looking for a Python Backend Developer who is excited to build AI-powered automation products in a fast-paced startup environment.

What you'll do

- Build and maintain scalable backend systems and APIs

- Develop intelligent data extraction pipelines using AI/ML

- Design and implement agentic workflows with LangGraph

- Design efficient database schemas and optimize queries in PostgreSQL

- Integrate and work with LLMs (OpenAI, Gemini, or similar)

- Collaborate with product, frontend, and data teams to deliver end-to-end features

- Write clean, tested, and well-documented code

Must-have skills

- Strong proficiency in Python and a modern web framework (FastAPI or similar)

- Experience with PostgreSQL and an ORM (SQLAlchemy preferred)

- Solid understanding of RESTful API design and best practices

- Hands-on experience or strong familiarity with LangGraph

- Experience working with LLMs (OpenAI, Gemini, or similar providers)

- Comfort with Git/version control and collaborative development workflows

Nice-to-have skills

- Experience with Docker and containerized deployments

- Knowledge of Redis for caching or background tasks

- Exposure to cloud platforms (GCP, AWS, or Azure)

- Experience with vector databases and retrieval-augmented generation

- Basic prompt engineering skills

- Experience with object storage (S3/MinIO)

What we're looking for

- 1+ years of Python backend development experience (open to exceptional freshers)

- Fast learner with genuine curiosity about AI/ML and automation

- Prior startup experience preferred

- Ownership mindset, bias for action, and comfort with ambiguity

- Ready to relocate to Hyderabad (work location)

How to apply

Please share:

- Your resume

- GitHub/Portfolio link

- A brief note on why you're interested in AI-powered automation and Superclaims

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time analytics architectures.

Foster a culture of technical excellence by mentoring and inspiring a team of Data analysts and engineers. Lead deep-dive code reviewa, prompte best-practice data modeling and ensure the squad adopts modern engineering standards like CI/CD For data

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time

analytics architectures.

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

About the role

We are looking for talented Senior Backend Engineers (5+ years of experience) to join our team and take ownership of different parts of our stack. You will be working alongside a team of Engineers locally and directly with the U.S. Engineering team on all aspects of product/application development. You will leverage your experiences and abilities to inform decisions across product development and technology. You will help us build the foundation of our 2nd Headquarters in Pune: its culture, its processes, and its practices. There are a ton of interesting problems to solve, so come hungry. If your colleagues describe you as curious, driven, kind, and creative you are a culture fit.

What Success Looks Like

• You write, review and ship code in production. Your employer or client's success depends on the software you build
• You use Generative AI tools on a daily basis to enhance the quality and efficacy of your software and non-software deliverables
• You are a self-starter and enjoy working with minimal supervision
• You evaluate and make technical architecture decisions with a long-term view, optimizing for speed, quality, and safety
• You take pride in the product you create and the code that you write
• Your team can rely on you to get them out of a sticky situation in production
• You can work well on a team of sales executives, designers and engineers in an in-person environment
• You are passionate about the enterprise software development lifecycle and feel strongly about improving it
• You are a first principles engineer who exercises curiosity about the technologies you work with
• You can learn quickly about technologies, software and code that you are not familiar with, often from rudimentary documentation
• You take ownership of the code that you write, and you help the team operate with everything that you build, throughout its lifecycle
• You communicate openly and solicit feedback on important decisions, keeping the team aligned on your rationale
• You exercise an optimistic mindset and are willing to go the extra mile to make things work

Areas of Ownership

Our hiring process is designed for you to demonstrate a generalist set of capabilities, with a specialization in Backend Technologies.

Required Technical Experience (MUST HAVE):

• Expertise in Python -
• Deep hands-on experience with Terraform -
• Proficiency in Kubernetes -
• Experience with cloud platforms (GCP strongly preferred, AWS/Azure acceptable) -

Additional experience with some of the following:

• Backend Frameworks and Technologies (Node.js, NuxtJS, Express.js)
• Programming languages (JavaScript, TypeScript, Java, C++, Go)
• RPCs (REST, gRPC or GraphQL)
• Databases (SQL, NoSQL, Postgres, MongoDB, or Firebase)
• CI/CD (Jenkins, CircleCI, GitLab or similar)
• Source code versioning tools such as Git or Perforce
• Microservices architecture

Ways to stand out

• Familiarity with AI Platforms
• Extensive experience with building enterprise-scale applications with >99% SLAs
• Deep expertise across the full required stack: Python, Terraform, Kubernetes, and GCP

You'll Get...

• Competitive Salary
• Medical Insurance Benefits
• Employer Provident Fund contributions with Gratuity after 5 years of service
• Company-sponsored US onsite trips for high performers, based on business requirements
• Potential international transfer support for top performers, based on business requirements
• Technology (hardware, software, trainings, etc.) equipment and/or allowance
• The opportunity to re-shape an entire industry
• Beautiful office environment
• Meal allowance and/or food provision on site

Culture

Who we are: Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.

6 + years of hands-on development experience and in-depth knowledge of , Spring Java, Spring boot, Quarkus and nice to have front-end technologies like Angular, React JS

● Excellent Engineering skills in designing and implementing scalable solutions

● Good knowledge of CI/CD Pipeline with strong focus on TDD

● Strong communication skills and ownership

● Exposure to Cloud, Kubernetes, Docker, Microservices is highly desired.

● Experience in working on public cloud environments like AWS, Azure, GCP w.r.t. solutions development, deployment & adoption of cloud-based technology components like IaaS / PaaS offerings

● Proficiency in PL/SQL and Database development.

Strong in J2EE & OOPS Design Patterns.

Job role: Systems Engineer (L2)

Location: Remote/Bengaluru

Experience: 3-6 years

About the Role:

We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.

Key Responsibilities:

 — Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.

 — Manage and optimize networking components — routers, switches, firewalls, load balancers.

 — Handle incident response — monitor systems, identify issues, resolve production problems.

 — Implement DevOps best practices — CI/CD pipelines, automation, containerization.

 — Collaborate with backend and product teams on system architecture.

— Performance tuning — ensure high availability and reliability of platform.

— Security management — implement security protocols and compliance standards.

Required Skills:

Technical:

• Linux/Unix administration — strong fundamentals
• Networking — TCP/IP, DNS, BGP, VoIP protocols
• Cloud platforms — AWS/GCP/Azure — minimum 2 years
• DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
• Monitoring tools — Grafana, Prometheus, Kibana, Datadog
• Scripting — Python, Bash, Shell
• Databases — MySQL, PostgreSQL, Redis

Soft skills:

• Strong problem-solving under pressure
• Good communication — English written and verbal
• Team player — collaborative mindset

Good to Have:

• Experience in telecom/CPaaS/cloud communications industry
• Knowledge of VoIP, SIP, RTP protocols
• AI/ML operations experience
• CCNA/AWS certifications

Location - Bangalore Skill/Experience Expectations: 1. Total Experience 7-11 yrs 2. 3-4 years in managing scalable production environment 3. 2-4 yr experience in managing Google cloud infrastructure 4. proficient in terraform and any programming language 5. Expert in designing and managing observability solutions 6. 5 yr experience in DevOps and SRE practices and troubleshooting critical incidents.

This role will report to the Chief Technology Officer

You Will Be Responsible For

* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.

* Leading a team in building a high-performing and scalable SaaS product.

* Conducting code reviews to maintain code quality and follow best practices

* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams

* Developing and building microservices leveraging cloud services

* Working on application security aspects

* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.

* Creating a culture of innovation that enables the continued growth of individuals and the company

* Working closely with Product and Business teams to build winning solutions

* Led talent management, including hiring, developing, and retaining a world-class team

Ideal Profile

* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.

* Proficiency in MERN / Java / Full Stack.

* Led a team in optimizing the performance and scalability of a product

* You have extensive experience with DevOps environment and CI/CD practices and can train teams.

* You're a hands-on leader, visionary, and problem solver with a passion for excellence.

* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.

What's on Offer?

* Exciting opportunity to drive the Engineering efforts of a reputed organisation

* Work alongside & learn from best in class talent

* Competitive compensation + ESOPs