Grow With Everestek

Overview

We are looking for an experienced Technical Project Manager with 5+ years of experience to manage and drive complex technical initiatives. This role requires strong expertise in Agile delivery, Jira administration, cross-team coordination, and technical program tracking across distributed teams.

Responsibilities

• Own end-to-end project tracking using Jira (Scrum, Kanban, dashboards, workflows).
• Create and maintain reports, dashboards, and metrics for leadership visibility.
• Track technical dependencies across engineering, cloud, and DevOps teams.
• Drive sprint planning, backlog grooming, stand-ups, reviews, and retrospectives.
• Ensure timely delivery, risk tracking, and stakeholder communication.
• Maintain documentation, action items, and follow-ups from technical discussions.

Details

• 5 years of experience as a Technical Project Manager / Technical Program Manager.
• Strong hands-on experience with Jira configuration, JQL, dashboards, and reporting.
• Solid understanding of Agile methodologies (Scrum, Kanban).
• Familiarity with cloud platforms, APIs, and deployment pipelines.
• Excellent communication and stakeholder management skills.

Nice To Have

• Experience working with distributed global teams.
• Prior exposure to SaaS, cloud, or product-based environments.
• Proactive, detail-oriented, and execution-focused mindset.

Overview

We are looking for a mid level Java developer. You will be responsible for maintaining and developing new backend micro services (In Java Spring boot or Drop wizard framework) along with developing database schema. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.

Responsibilities

• Strong grasp on Java as a language and knowledge of its quirks
• Strong knowledge of Spring Boot and its extensive feature set is a must
• Strong knowledge of Dropwizard framework
• Working knowledge of CI/CD tools such as Jenkins or anything similar
• Familiarity with AWS and its core services such as EC2, RDS
• Experience writing unit tests along with mocking
• Strong knowledge of designing and building RESTful APIs
• Strong understanding of databases
• Creating database schemas that represent and support business processes
• Strong knowledge of Hibernate to integrate with relational database
• Experience with working in Linux environment
• Understanding of fundamental design principles behind a scalable application
• Familiarity with any NoSQL databases
• Proficient understanding of code versioning tools, such as Git
• Experience working in an agile development environment
• Excellent logical and problem solving skills
• Excellent communication skills is a must
• Excellent writing skills is a must

Details

• Interface with key stakeholders and team to manage end to end development of project
• Develop code in Java using modern frameworks such as Springboot and Dropwizard
• Design, build, and maintain efficient, reusable, and reliable code
• Solving complex performance problems and architectural challenges
• Ensure the best possible performance, quality, and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization
• Integration of data storage solutions (MySQL, Dynamo DB)
• Deployment and maintenance in AWS cloud
• Design and build secure REST-APIs that will be consumed by front end applications
• Continuously refactor & improve current code base
• Unit testing of backend applications
• Build Continuous Integration & Continuous Delivery pipeline for all components of the project
• Provide daily status to the stakeholders

Overview

We are looking for a python developer to work on a big data processing platform. You will be responsible for creating and maintaining python libraries and web services that will be an integral part of this platform. We are looking for someone who understands elegance in APIs and experience in building libraries used by other developers.

Responsibilities

• Develop microservices in python using Flask
• Develop common libraries and frameworks in python
• Write reusable, testable and efficient code
• Implementation of security and data protection
• Design and implementation of low-latency, high-availability, and performant applications
• Develop lightweight, cross-browser, responsive user interfaces that talks to RESTful web services
• Design and develop quick mockups
• Improve the existing code and help cleaning up technical debt
• Work closely with test developers to help them write automation scripts using selenium
• Work in a highly agile environment and help the team achieve their sprint goals in any way possible
• Interact with stakeholders to understand requirements
• Prepare and give detailed demos to key stakeholders
• Prepare sprint plans based on the requirements

Details

• 3 years of experience developing applications with Python
• Expert in Python, with knowledge of Flask Python web framework
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture
• Experience with designing and developing REST APIs
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Experience in designing database schemas that represent and support business processes
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools such as Git
• Understanding of fundamental design principles behind a scalable application
• Familiarity with event-driven programming in Python
• Experience with pip is plus
• Experience with AWS products such as API gateway, Lambda is plus
• Excellent logical and problem solving skills
• Excellent communication skills is a must

Overview

We are looking for a Data Engineer with strong experience in Python, Relational Database, and AWS to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have hands-on experience working with large datasets, relational databases, and cloud-based data platforms. In this role, you will work closely with engineering, analytics, and product teams to build reliable data systems that support business intelligence, reporting, and data-driven applications. The role requires strong programming skills, a solid understanding of data modeling and database design, and the ability to operate in cloud-native environments.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming large datasets.
• Develop and maintain Python-based data processing systems and ETL workflows.
• Design and optimize relational database schemas and queries for performance and scalability.
• Build and maintain data integration pipelines across multiple systems and data sources.
• Ensure data quality, consistency, and integrity through validation and monitoring mechanisms.
• Implement automated workflows for data extraction, transformation, and loading.
• Optimize data processing jobs for performance and reliability.
• Work with engineering teams to integrate data systems with backend services and applications.
• Monitor data infrastructure and troubleshoot data pipeline failures or performance issues.
• Document data architecture, pipelines, and data models.

Details

• Strong proficiency in Python for building data pipelines, data processing workflows, and automation scripts.
• Experience working with relational databases such as PostgreSQL, MySQL, or similar systems.
• Strong knowledge of SQL, including query optimization, indexing strategies, and performance tuning.
• Experience designing and implementing ETL/ELT pipelines for large datasets.
• Hands-on experience with AWS cloud services, including services such as S3, RDS, Lambda, Step Function.
• Understanding of data modeling and schema design for scalable data systems.
• Experience working with large datasets and distributed data processing frameworks (e.g., Pandas, PySpark, or similar tools).
• Familiarity with data pipeline orchestration tools such as Apache Airflow or similar workflow managers.
• Experience with data warehousing solutions such as Redshift, Snowflake, BigQuery, or similar platforms.
• Understanding of data validation, monitoring, and data quality practices.
• Familiarity with version control systems such as Git.
• Experience working with containerized environments such as Docker is a plus.

Overview

We are seeking a highly skilled GenAI Engineer with strong hands-on experience in building AI agents, orchestrating multi-step workflows, and integrating large language models (LLMs) into production-grade systems. The ideal candidate will have at least 2+ years of experience working with GenAI technologies and frameworks such as LangGraph and LangChain, with solid understanding of multiple LLM ecosystems including Google Gemini, OpenAI, and AWS Bedrock. The candidate will be responsible for designing, building, evaluating, and optimizing GenAI systems—including autonomous agents, RAG pipelines, and custom model deployments—while ensuring that the solutions are reliable, safe, and free from unwanted bias or hallucinations.

Responsibilities

• Design, develop, and orchestrate AI agents using LangGraph and LangChain to automate complex workflows and decision-making processes.
• Build modular agent nodes, tools, memory systems, and workflow orchestration components.
• Implement multi-agent collaboration, event-driven flows, and tool-calling capabilities.
• Work with multiple LLM providers (Gemini, OpenAI, AWS Bedrock) to integrate models into AI workflows.
• Evaluate and select appropriate models based on cost, accuracy, latency, and contextual understanding.
• Fine-tune or customize pre-trained foundation models and deploy optimized variants on AWS Bedrock.
• Implement and improve Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and document loaders.
• Build scalable retrieval systems that support structured and unstructured data sources.
• Work with MCP (Model Context Protocol) servers to integrate external tools and systems into agent execution.
• Develop pipelines for testing AI agents including hallucination detection, bias detection and mitigation, evaluation benchmarks, and prompt resilience and stability.
• Ensure compliance with internal AI policies, guardrails, and ethical AI guidelines.
• Deploy and monitor AI solutions on AWS (Bedrock, Lambda, ECS, S3, Step Functions).
• Maintain CI/CD pipelines for continuous validation and safe rollout of agent workflows.
• Optimize LLM inference costs through caching, batching, prompt engineering, and routing techniques.

Details

• 2+ years of experience as a GenAI Engineer, ML Engineer, LLM Developer, or similar role.
• Strong hands-on expertise with LangGraph and LangChain for building AI agents or workflows.
• Good understanding of LLMs—OpenAI, Gemini, AWS Bedrock models (Claude, Titan, etc.).
• Practical experience with RAG pipelines, embeddings, vector databases, and retrieval optimization.
• Knowledge of MCP servers and integrating external tools with AI agents.
• Experience testing GenAI systems for hallucinations, bias, factual consistency, and output stability.
• Prior exposure to tuning or customizing pre-trained LLMs and deploying them on AWS Bedrock.
• Knowledge of prompt engineering, tool calling, memory management, and agent architecture.
• Solid programming skills in Python.

Nice To Have

• Experience with LangSmith or similar LLM evaluation platforms.
• Experience in MLOps / GenAI Ops practices.
• Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, Chroma).
• Hands-on experience with API development and microservice architectures.

Soft Skills

• Problem-solving mindset with strong analytical thinking.
• Excellent communication and ability to explain complex AI behavior.
• Ability to collaborate across engineering, product, and data teams.
• Curious, self-driven, and passionate about AI and automation.