Engineering Lead

Required Skills: CI/CD Pipeline, Kubernetes, SQL Database, Excellent Communication & Stakeholder Management, Python

Criteria:

Looking for 15days and max 30 days of notice period candidates.

looking candidates from Hyderabad location only

Looking candidates from EPAM company only 

1.4+ years of software development experience

2. Strong experience with Kubernetes, Docker, and CI/CD pipelines in cloud-native environments.

3. Hands-on with NATS for event-driven architecture and streaming.

4. Skilled in microservices, RESTful APIs, and containerized app performance optimization.

5. Strong in problem-solving, team collaboration, clean code practices, and continuous learning.

6.  Proficient in Python (Flask) for building scalable applications and APIs.

7. Focus: Java, Python, Kubernetes, Cloud-native development

8. SQL database 

Description

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security) 
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

As Senior Backend developer, you will play a key role in building a product that will impact the way users experience Yoga and Fitness. Working closely with our technical and product leadership you will help solve for securing the performance, experience and scalability of our product. With your erudite experience, you will play a key part in our product and growth roadmap. We’re looking for an engineer who not only writes high-quality backend code but also embodies a forward-thinking, AI-augmented development mindset. You should be someone who embraces AI and automation as a force multiplier—leveraging modern AI tools to accelerate delivery, increase code quality, and focus your time on higher-order problems.

Responsibilities

• At least 3 years of experience in product development and backend technologies, with strong understanding of the technology and familiarity with latest trends in backend technology developments.
• Design, develop, and maintain scalable backend services and APIs, ensuring high performance and reliability.
• Lead the architecture and implementation of new features, driving projects from concept to deployment.
• Optimize application performance and ensure high availability across systems.
• Implement robust security and data protection measures to safeguard critical information.
• Contribute to technical decision-making and architectural planning, ensuring long-term scalability and efficiency.
• Create and maintain clear, concise technical documentation for new systems, architectures, and codebases.
• Lead knowledge-sharing sessions to promote best practices across teams.
• Work closely with product managers, front-end developers, and other stakeholders to define requirements, design systems, and deliver impactful product features within reasonable timelines.
• Continuously identify opportunities for system improvements, automation, and optimizations.
• Lead efforts to implement new technologies and processes that enhance engineering productivity and product performance.
• Take ownership of critical incidents, performing root cause analysis and implementing long-term solutions to minimize downtime and ensure business continuity.
• Ability to communicate clearly and effectively at various levels - intra-team, inter-group, spoken skills, and written skills - including email, presentation and articulation skills.
• Has strong knowledge of AI-assisted development tools, has hands-on experience on reducing boilerplate coding, identifying bugs faster, and optimizing system design.

Qualifications

• 2+ years of strong experience developing services in Go language
• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 3+ years of experience in backend software engineering with a strong track record of delivering complex backend systems, preferably in cloud-native environments.
• Strong experience with designing and maintaining large-scale databases (SQL and NoSQL) and knowledge of performance optimization techniques.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures (containers, serverless, microservices) is highly desirable.
• Familiarity with modern software development practices, including CI/CD, test automation, and Agile methodologies.
• Proven ability to solve complex engineering problems with innovative solutions and practical thinking.
• Strong leadership and interpersonal skills, with the ability to work cross-functionally and influence technical direction across teams.
• Excellent communication skills, with the ability to communicate complex technical ideas to both technical and non-technical stakeholders.
• Demonstrated ability to boost engineering output through strategic use of AI tools and practices—contributing to a “10x developer” mindset focused on outcomes, not just effort.
• Comfortable working in a fast-paced, high-leverage environment where embracing automation and AI-first workflows is part of the engineering culture.

Required Skills

• Strong experience in Go language
• Strong experience in backend technologies and cloud-native environments.
• Proficiency in designing and maintaining large-scale databases.
• Strong problem-solving skills and familiarity with modern software development practices.
• Excellent communication skills.

Preferred Skills

• Experience with AI-assisted development tools.
• Knowledge of performance optimization techniques.
• Experience in Agile methodologies.

About the Company

MyYogaTeacher is a fast-growing health tech startup with a mission to improve the physical and mental well-being of the entire planet. We are the first online marketplace to connect qualified Fitness and Yoga coaches from India with consumers worldwide to provide personalized 1-on-1 sessions via live video conference (app, web). We started in 2019 and have been showing tremendous traction with rave customer reviews.

• Over 200,000 happy customers
• Over 335,000 5 star reviews
• Over 150 Highly qualified coaches on the platform
• 95% of sessions are being completed with 5-star rating

Headquartered in California, with operations based in Bangalore, we are dedicated to providing exceptional service and promoting the benefits of yoga and fitness coaching worldwide

We are looking for a Java Developer with experience in building high-performing, scalable, enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java/Java EE application development while providing expertise in the full software development lifecycle, from concept and design to testing.

Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• BS/MS degree in Computer Science, Engineering or a related subject
• Proven hands-on Software Development experience (Microservices & Springboot)
• Proven working experience in Java development
• Hands on experience in designing and developing applications using Java EE platforms
• Object Oriented analysis and design using common design patterns.
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Experience in the Spring Framework
• Experience in developing web applications using at least one popular web framework (Spring MVC)
• Experience with test-driven development

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

We are looking for an experienced, hands-on developer to join an innovative and talented R&D team, responsible for delivering fast and high quality code, using the latest frameworks and technologies.

• Be responsible for all development aspects form design to production of a wide hybrid/ cloud naitive product 
• Write high quality, testable and efficient code in Java and Go
• Initiate and promote new ideas for continuous improvement of the product functionality
• Work closely with other team members as well as mentoring new team members

• 5+ years of software development experience
• Proven deep knowledge of Java or Go
• Deep understanding of relational databases, concurrent programming and performance tuning
• Vast experience with large scale production environments 
• Experience with micro services architecture, multithreading
• Familiarity with Cloud infrastructure, Docker, Kubernetes & CI/CD
• Disciplined approach to testing and quality assurance

We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.

Responsibilities:

• Management & scaling up existing infrastructure for high-frequency market data capture.
• Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
• Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
• This will involve studying the strategy development process and performance evaluation metrics.
• Develop autopilot risk-management systems to monitor live performance of the Portfolio.
• Improve the existing algorithms to achieve better execution price and reduce the latency.

Requirements:

Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:

• High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
• Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
• Well-versed in software engineering principles, frameworks and technologies.
• The ability to manage multiple tasks in a fast-paced environment.
• Excellent analytical and problem solving abilities.
• A keen interest in learning about the financial markets.