Total 24 Information Technology job vacancies in Pune

Job Description

We are looking for you, a Senior Software Engineer to help us build and maintain the next tools or processes that will help the business to overcome our challenges. Help us design, implement and evolve our data analysis tools within a dynamic team working with various technologies.

As a Senior Software Engineer, you will have following key accountabilities:

• Set up, build and maintain WinForms applications (C # / VB.NET) and Office
• Development and maintenance of Backend code on Web tools (C # / ASP.NET)
• Initiate and participate in reflections on the implementation of solutions
• Provide guidance on technology and tooling choices to the team
• Be proactive in the face of various issues
• Respond to the challenges of tool performance
• Participate and support the technological choices of the team (monitoring, mutual aid, presentations, ...)

• Avoid scope-creep, over-engineering, under-testing and technical debt
• Learning our business domain
• Using good software engineering principles and best practices to solve business problems

Principal Software Engineer, Pune

We are looking for a Principal Software Engineer who defines and drives the technical strategy for large‑scale, distributed, and cloud‑native systems. This role operates at a company and platform level, designing foundational architectures, enforcing engineering standards, and leading complex technical transformations that impact multiple teams and products.

You will act as a technical authority and architect, balancing short‑term delivery needs with long‑term scalability, reliability, security, and cost efficiency. This role requires deep hands‑on expertise in Java, Python, SQL, distributed systems, cloud platforms, and modern DevSecOps practices, along with the ability to guide teams in AI‑driven development and generative tooling adoption.

Responsibilities

• Define and evolve the technical strategy for large‑scale, distributed, and high‑availability systems
• Design foundational platforms, frameworks, and shared services that impact multiple teams
• Lead architectural transformations for legacy systems and large‑scale applications
• Drive system‑wide decisions with a strong focus on scalability, performance, resilience, security, and maintainability
• Translate ambiguous business requirements into robust, future‑proof technical architectures
  
  Platform Governance & Engineering Standards
•  Develop and enforce governance policies for APIs, security, cloud infrastructure, and system integrations
• Define company‑wide best practices for engineering quality, reliability, observability, and efficiency
• Establish architectural guardrails to ensure consistent design and implementation across teams
• Drive adoption of security, compliance, and infrastructure automation best practices
  
  Cloud, DevSecOps & Cost Optimization
•  Establish strategies for cost‑efficient cloud resource utilization, scaling, and performance optimization
• Architect standardized CI/CD frameworks used across multiple teams
• Define DevSecOps guardrails ensuring secure, compliant, and consistent delivery pipelines at scale
• Champion Infrastructure‑as‑Code, automation, and operational excellence
  Data, Streaming & Distributed Systems
•  Provide technical leadership in large‑scale data processing, streaming architectures, and messaging systems
• Design and evolve systems using Kafka, queues, async processing, and event‑driven patterns
• Guide teams on concurrency, fault tolerance, back‑pressure handling, and system resilience
  
  AI & Engineering Innovation
•  Guide teams in AI‑driven development practices, including the responsible use of Generative AI tooling
• Evaluate AI and GenAI technologies for quality, scalability, security, and real business value
• Design and integrate AI/ML capabilities into systems from a platform and application engineering perspective
• Champion innovations that improve developer productivity, automation, and engineering efficiency
  Technical Leadership & Collaboration
•  Act as a technical mentor and design authority for senior and mid‑level engineers
• Engage in deep technical problem‑solving, influencing system‑wide technical decisions
• Collaborate closely with Product, Security, Operations, and Platform teams
• Lead by example through hands‑on design reviews, architectural guidance, and complex issue resolution
  
  Required Technical Skills: Core Engineering 
•  Java (Spring Boot, REST, Microservices, JVM internals)
• Python (core Python, scripting, automation, data processing)
• SQL (advanced querying, schema design, performance tuning)
• Strong knowledge of Data Structures, Algorithms, and System Design
• Scripting languages (Shell, Bash, or similar)
  
  Systems & Platforms
• Distributed systems, concurrency, fault tolerance, scalability patterns
• Cloud platforms (Azure / AWS / GCP) and cloud‑native architectures
• Containers and orchestration (Docker, Kubernetes)
• CI/CD, DevSecOps, Infrastructure‑as‑Code
• Messaging and streaming systems (Kafka, event‑driven architectures)
  
  AI / Data (Working Knowledge)
• Experience integrating AI/ML or GenAI APIs into production systems
• Understanding of data pipelines, model deployment, and operational AI concerns
• Ability to assess where AI adds value versus unnecessary complexity

As a Global Technical Recruiter specialising in Data Centres and Digital Buildings, you'll scale our technical capability globally from Pune, partnering with senior leaders to hire specialist talent across engineering and smart-building disciplines.

Key Responsibilities:

• Deliver end-to-end recruitment for data centre and digital building roles across global markets
• Partner with technical leaders to understand role requirements and project demands
• Source niche technical talent using various methods, including LinkedIn Recruiter and direct outreach
• Recruit for roles in Data Centre Design & Engineering, Mission-Critical Infrastructure, Digital Buildings, and related fields
• Screen candidates for technical capability, project experience, and cultural alignment
• Manage offers, negotiations, and onboarding handovers
• Track recruitment performance metrics and build long-term talent pipelines
• Ensure compliance with local labour laws and internal standards
• Continuously improve technical hiring processes and candidate experience

You should be detail-oriented, organised, and comfortable working across time zones. Strong stakeholder management and communication skills are essential.

Location & Working Model:

Based in Pune, India, with a flexible and hybrid working model. Occasional flexibility required for global collaboration.

Be the link between threat and defence.

At The Missing Link, we don’t just respond to cyber threats, we stay one step ahead. As one of Australia’s most awarded IT providers, now proudly backed by global technology leader Infosys, we have spent more than 28 years helping organisations thrive through world‑class Cyber Security, IT & Cloud, and Automation solutions.

With over 200 passionate team members and a culture built on inclusion, innovation and impact, we offer more than a job, we offer a place where your expertise is valued, your growth is supported, and your contribution truly matters.

The Opportunity

We are looking for a Network Security Engineer to join our Global Security Operations Centre (GSOC), a 24x7 managed service providing round‑the‑clock protection to clients across a diverse range of industries.

This is a hands-on engineering role (not an analyst position), ideal for someone who enjoys working directly with market‑leading security technologies and solving complex security challenges in real time.

A Day in the Life

As part of our GSOC Engineering team, you will:

• Provide Level 1 and Level 2 support across a broad security stack including Palo Alto, CyberArk, Fortinet, Cisco, Checkpoint, Cloudflare, Zscaler and SASE solutions

• Configure, maintain and troubleshoot security platforms across on‑prem and cloud environments
• Work closely with Security Architects, Engineers, MDR (Watcher) teams and clients to transition solutions from project delivery into managed services
• Assist Senior SOC Engineers with incident response and threat containment
• Continuously improve SOC processes, procedures, and best practices
• Support clients during business hours, with exposure to live incidents and real‑world attack scenarios

You will work a four‑days‑on, four‑days‑off rotating shift pattern, with the flexibility of remote work, while gaining exposure to major Australian enterprises and cutting‑edge security technologies.

Essential Experience & Skills

• Minimum 3 years’ experience in Network Security within a Managed Service Provider or similar environment

• Hands‑on experience with NextGen Firewalls, Cloud SASE (e.g. Zscaler), WAFs, PAM solutions, and related security technologies
• Strong understanding of networking fundamentals (OSI Model, TCP/IP, network architectures)
• Experience with network segmentation, URL filtering, packet inspection, certificates, virtualisation and cloud security
• Proven troubleshooting, debugging, and problem‑solving skills in fast‑paced environments
• Ability to manage multiple tasks while meeting tight deadlines
• Experience briefing clients and providing security recommendations
• Strong collaboration and interpersonal skills, contributing to a positive, high‑performance team culture

Desirable

• Broader understanding across applications, operating systems, databases, storage and backups

• Vendor certifications or active pursuit of certifications (CyberArk, Cloudflare, Palo Alto, Cisco, Checkpoint, SASE)
• Exposure to Infrastructure as Code (IaC) in AWS or Azure
• Scripting or automation experience (PowerShell, Python, Bash)
• Passion for continuous learning — labs, home networks, forums, webinars and industry communities
• Interest in professional certifications such as ISC2, ISACA and vendor programs

A great company culture is very important to The Missing Link. We genuinely care about our people and our culture. Some of our favourite perks include:

• A supportive, collaborative and respectful environment

• Company‑paid training and certifications
• Clear pathways for career development and progression
• Exposure to leading technologies and complex enterprise environments
• A team that celebrates success, supports growth and enjoys working together

Cash Applications & ReconciliationsOracle JD Edwards (JDE) –

Hands-on Experience

Advanced Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, Reporting)

Financial & Operational Reporting

Strong Written and Verbal Communication

Data Analysis & Process Improvement

Essential Duties and Responsibilities

As a Senior Software Engineer, you will play a pivotal role in designing, developing, and delivering high‑quality software solutions while driving engineering excellence across the team. Your key responsibilities include:

• Designing, developing, enhancing, and maintaining backend services and applications using Java, Spring Boot, microservices architecture, and RESTful APIs.
• Collaborating closely with product managers, designers, QA engineers, and cross‑functional teams to gather requirements and deliver scalable, reliable solutions.
• Ensuring code quality, maintainability, and adherence to engineering best practices.
• Conducting comprehensive code reviews and offering constructive technical feedback to peers.
• Debugging, troubleshooting, and resolving complex technical issues in production and non‑production environments.
• Working with DevOps teams to support deployment, orchestration, and monitoring of cloud‑native applications.
• Staying current with emerging technologies, industry trends, and modern engineering practices.
• Mentoring junior team members and contributing to a culture of technical excellence, collaboration, and continuous improvement.

Expectations of the Role

• Availability to work 2 PM – 11 PM IST.

• Work location: Eversana Pune office, with a 5‑day in-person work schedule.

• Strong analytical and problem‑solving mindset.
• Effective communication skills across all levels of the organization.
• Demonstrated commitment to continuous learning and growth.
• Ability to collaborate effectively with internal teams, clients, and external partners.

Qualifications

Minimum Knowledge, Skills, and Abilities

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

• 6+ years of hands‑on experience as a Software Engineer building enterprise-level applications.

• Strong proficiency in Java and solid understanding of object‑oriented design principles.
• Extensive experience with Spring Boot, Spring Framework, and Spring MVC.
• Proven expertise in microservices architecture and RESTful API development.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools such as Docker and Kubernetes.
• Knowledge of observability and monitoring tools such as Splunk, AppDynamics, Prometheus, Grafana, or ELK.

• Experience with security best practices, including OAuth2, JWT, and secure coding standards.
• Proficiency with relational databases such as SQL Server, MySQL, PostgreSQL, or Oracle, including query optimization and data modeling.
• Familiarity with Agile methodologies, CI/CD pipelines, and modern DevOps best practices.
• Experience with test automation tools and frameworks (JUnit, Mockito, Selenium, Cypress).
• Strong troubleshooting, debugging, and analytical capabilities.
• Excellent collaborative and communication skills, with experience working in cross-functional environments.
• Hands‑on experience with Incident management processes, including creating, managing, and resolving incidents using ServiceNow or similar ITSM tools.

Additional / Optional Skills (Preferred but Not Mandatory)

• Healthcare domain knowledge, including familiarity with terminology, workflows, regulatory needs (HIPAA, PHI), or experience building healthcare applications.
• Experience with UI/Front‑end development, particularly using React, Angular, or Vue.js.

• Knowledge of JavaScript ES6+, TypeScript, and modern front‑end build tools (Webpack, Vite, npm/yarn).
• Exposure to API Gateways, GraphQL, or gRPC.
• Familiarity with NoSQL databases (MongoDB, Cassandra, DynamoDB).
• Experience working with message‑driven architectures (Kafka, RabbitMQ, AWS SQS/SNS).
• Understanding of distributed systems, performance optimization, and scalability patterns.
• Ability to contribute to architecture discussions and technical design decisions.

SUMMARY:

You’ll join the Xplor Pay Development Team, which provides a full stack payment processing and acquiring platform to integrators, partners, and merchants. Whether small and independent or large franchises, we build services that customers can rely on. You will be involved in the entire software development lifecycle, working with Product Owners, Business Analysts, and others to help deliver and support required functionality across our payment platform, its user interfaces and APIs.

DUTIES AND RESPONSIBILITIES:

• Hands on problem-solving attitude with the ability to generate ideas/solutions and adapt and learn new technologies on the job.
• Write clean, testable, and well-documented code.
• Refactor existing code, write unit tests and review other teammates code.
• Fix problems and defects by collecting information, finding root causes, and implementing solutions.
• Conduct peer reviews for other members of the development team, ensuring that project conventions are adhered to and that requirements are correctly implemented.
• Participate in full-life cycle software development.
• Contribute to performance, diagnostic, and troubleshooting analysis of software.
• Create and maintain documentation for developed APIs.
• Involve and engage with other developers and other teams to motivate and connect with others.
• Mentoring junior team members and guiding them towards raising their own software quality standards.
• Estimate, plan and implement new features in collaboration with product and design.
• Code based on standards and best practices provided by your team lead.
• Keeping up to date with industry trends and technology developments.

Software Engineer with Java/Sprint boot, ETL (SQL, Python, ETL)

Job Summary We are looking for a highly skilled and motivated Software Engineer with strong backend development experience to join our engineering team. The ideal candidate will have a solid foundation in Java-based technologies, database systems, cloud platforms, and modern DevOps practices. You will be responsible for designing, developing, and maintaining scalable, high performance applications while collaborating closely with cross-functional teams to solve complex business and technical challenges.

Key Responsibilities

• Design, develop, test, and maintain robust, scalable, and high-performance software applications.
• Build and maintain backend services using Java and Spring Boot.
• Design and optimize database schemas and queries using SQL and PostgreSQL.
• Develop and support ETL pipelines for data ingestion, transformation, and processing.
• Implement and maintain search and analytics capabilities using Elasticsearch.
• Work with cloud platforms (Azure preferred; AWS/GCP acceptable) to deploy and manage applications.
• Implement and enhance CI/CD pipelines to ensure efficient and reliable software delivery.
• Write clean, maintainable, and well-documented code following best practices.
• Troubleshoot, debug, and resolve complex technical issues in production and non production environments. |
• Collaborate with product managers, architects, QA, and other engineers to deliver high quality solutions.
• Participate in code reviews and contribute to improving coding standards and engineering practices.
• Continuously evaluate and adopt new technologies, tools, and frameworks as needed.
• Take ownership of assigned modules and drive them end-to-end.

Required Technical Skills

• Strong proficiency in Java and Spring Boot.
• Excellent knowledge of SQL and relational databases, especially PostgreSQL.
• Hands-on experience with ETL processes and data pipelines.
• Experience working with Elasticsearch for search, logging, or analytics use cases.
• Solid understanding of cloud computing concepts; hands-on experience with Azure is highly preferred.
• Experience with CI/CD tools and pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins).
• Good understanding of RESTful APIs, microservices architecture, and distributed systems.
• Experience with version control systems (Git).

Non-Technical & Soft Skills
• Strong problem-solving and analytical skills with the ability to handle complex challenges.
• Excellent communication skills, both written and verbal.
• A can-do attitude with a strong sense of ownership and accountability.
• Willingness and enthusiasm to learn new technologies and adapt to changing requirements.
• Ability to work effectively both independently and as part of a team.
• Proactive mindset with attention to detail and quality.

Good to Have (Added Value)
• Experience with system design and performance optimization.
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Exposure to monitoring, logging, and observability tools.
• Experience working in Agile/Scrum development environments.
• Understanding of security best practices for application development.

About Job:

Senior Software Development Engineer, Pune, India 

 Responsibilities:

• Understanding business requirements and how they fit into the overall, global solution design  
• Embracing end-to-end the development and maintenance of any new feature including the estimation, the development and validation of new code, the design of testing scenarios up to the deployment into production  
• Following source and test-driven development best practices  
• Troubleshooting and identifying root cause analysis while resolving the issues  

THE POSITION:

We are seeking a Lead Software Developer to provide technical leadership and guidance to a team of software developers working across modern C#/.NET APIs and legacy VB-based applications. This role is not primarily people-management, but rather hands-on technical leadership—ensuring quality, consistency, and adherence to development best practices when senior leadership is not present.

The ideal candidate has strong engineering fundamentals, experience mentoring developers, and the ability to balance modern development approaches with maintaining and improving legacy systems.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams.  These results are achieved by:

• Technical Leadership
  • Serve as the day-to-day technical lead for the development team when the Software Architect or management is unavailable
  • Guide design and implementation decisions to ensure scalable, maintainable, and secure solutions
  • Review code and provide constructive feedback to uphold coding standards and best practices
• Development & Architecture
  • Design, build, and maintain C#/.NET applications and RESTful APIs
  • Support and improve existing legacy VB applications while helping guide modernization efforts where appropriate
  • Ensure proper use of design patterns, SOLID principles, and clean architecture concepts
• Team Support & Mentorship
  • Mentor and coach developers at varying experience levels
  • Help unblock developers by troubleshooting complex technical issues
  • Promote a culture of continuous improvement, learning, and accountability
• Quality & Best Practices
  • Enforce development best practices including:
    • Source control (Git or equivalent)
    • Code reviews
    • Unit and integration testing
    • Secure coding practices
  • Collaborate with Release Manager, Software Architect, QA, and other stakeholders to ensure reliable and high-quality releases
• Collaboration & Communication
  • Act as a technical point of contact for questions related to implementation or design
  • Clearly communicate technical concepts to both technical and non-technical team members
  • Align day-to-day development work with architectural direction and business goals
• Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias.
• All other duties as assigned

An individual in this position must be able to successfully perform the expectations listed above.

Technical Lead — Python | GoLang| aiohttp | REST |Pandas

At Assent, we’re solving complex technical challenges with global impact. Our multi-tenant SaaS platform helps the world’s most influential companies gain deep visibility into their supply chains—enabling them to manage risk, ensure compliance, and take real action on issues like forced labor, environmental sustainability, and ethical sourcing.

We’re looking for a Technical BE Lead with deep expertise in Python or GoLang and Back-end architecture to own the design system strategy and lead the evolution of our product [expanded scope and leadership]. You should have a basic understanding of Angular and UI Technologies. You’ll work closely with engineering leaders, product managers, and architects to define technical direction, enforce architectural standards, and ensure delivery of scalable, accessible, and well-tested WebApp solutions across multiple teams.

You’ll operate in a high-trust CI/CD environment—every commit goes to production, and there’s no separate QA team. That means you’ll be responsible for setting expectations and ensuring quality practices are embedded in the development process. You’ll drive the creation of automated test coverage strategies, web app development and documentation.

We work with the latest technology and plan to keep doing so. Our team uses tools like GitHub Copilot to help with AI-powered coding, Lucid for architectural design, and we’re always open to trying new tools that can help us create better experiences for our customers. 

Our Product Tech Stack will Includes:

• C#, Python
• Pandas
• PyTest
• Boto3
• NumPy/SciPy
• AIOHTTP
• CI/CD pipelines that support rapid, high-quality delivery to production
• Angular

We value system thinking, performance, and platform maintainability. You’ll help ensure that UI decisions support both short-term product goals and long-term architectural integrity.

What You’ll Do:

As the Python Tech Lead for this foundational pilot, you will play a pivotal role in designing and implementing the core serverless backend architecture that powers the user interaction and data processing pipeline. Your focus will be on building a scalable, observable, and maintainable API and orchestration layer leveraging AWS services. Key responsibilities include:

• Design and develop RESTful APIs using AWS API Gateway integrated directly with Lambda functions, removing the need for a traditional monolithic BFF.
• Implement endpoint logic in Python-based Lambda functions, focusing on modular, single-responsibility functions such as file upload, status checks, and analytics retrieval.
• Ensure the API layer abstracts away all backend complexity from the Angular frontend, providing clean and reliable interfaces to support user interactions.
• Support core user flows, such as uploading CMRT files and retrieving analytic results, by implementing and exposing APIs that connect to appropriate backend services.
• Partner closely with frontend engineers, data platform teams, and Gold-tier data engineers to define requirements, ensure backend compatibility, and surface data insights effectively.
• Work with data engineers to integrate the API layer with the medallion architecture (Bronze, Silver, Gold), routing requests dynamically based on the data and analytics context.
• Implement and maintain AWS Step Functions workflows to orchestrate file processing, from ingestion through to entity resolution and persistence.
• Use EventBridge to trigger workflows on CMRT file uploads to S3, ensuring the system is extensible for future ingestion paths (e.g., SFTP, email, or 3rd-party systems).
• Design and implement a robust automated unit testing strategy across all Lambda functions using tools such as pytest, moto, and unittest.mock.
• Establish and enforce test coverage thresholds and integrate testing into the CI/CD pipeline.
• Set coding standards, enforce clean architecture principles, and mentor other developers working on the Lambda and orchestration components.

By leading the development of this cloud-native, event-driven architecture, you'll enable rapid iteration, scalability, and future extensibility of the RM Foundational Pilot platform.

We are seeking a highly skilled and motivated Software Developer to join our global team and contribute to
delivering cutting-edge SaaS solutions. This role is ideal for a full-stack engineer with expertise in .NET, C#,
Angular, SQL, and cloud platforms like AWS or Azure. The successful candidate will collaborate across teams,
own their code from development to deployment, and help enhance the quality, security, and scalability of our
platform.

Key responsibilities include:
▸ Design, develop, maintain, and enhance .NET applications and services across the full technology stack,
including ASP.NET, C#, Angular, SQL, TypeScript and CI/CD tools.
▸ Work in a cloud-based environment, delivering SaaS solutions on platforms such as AWS or Azure.
▸ Develop microservices, RESTful APIs, and scalable solutions following modern software architecture
principles.
▸ Collaborate with the product management team to plan, scope, and design new features, while
proactively identifying opportunities to improve the platform.
▸ Provide guidance, leadership, and mentorship to engineers and QA teams, ensuring adherence to
standards of quality, security, scalability, and usability.

▸ Take end to end ownership of code—including development, deployment, monitoring, and issue
resolution in production environments.
▸ Write and maintain comprehensive test coverage, including unit, integration, and automated functional
tests.
▸ Work in Agile/ lean environments to ensure efficient and effective delivery of software solutions.

We are looking for a hands-on Technical Lead (IC role) who can drive technical excellence, mentor teams, and
contribute to building scalable, high-performing applications. This role is ideal for someone passionate about
full-stack development and modern technologies, with strong leadership and problem-solving skills.

Key responsibilities include:
▸ Lead technical design and development for complex projects.
▸ Collaborate with architects and product managers to define technical roadmaps.
▸ Stay hands-on with coding, code reviews, and troubleshooting critical issues.
▸ Mentor and guide team members on best practices and emerging technologies.
▸ Ensure high-quality deliverables through robust architecture and clean code.
▸ Drive adoption of modern development practices, CI/CD, and cloud solutions.

About Job:

AI Platform & Agentic Systems Engineer (AI / ML), Pune, India (Hybrid)

Experience- 5+ years 

We are looking for a high-impact AI Platform & Agentic Systems Engineer who will help drive the AI transformation across our organization.

This role goes beyond traditional machine learning development. The engineer will design and build AI-powered platforms, intelligent agents, orchestration layers, and enterprise AI workflows that enhance productivity, automate processes, and unlock intelligence across systems and data.

You will work extensively with LLMs, SLMs, agentic AI architectures, vector databases, RAG pipelines, orchestration frameworks, and enterprise integrations to build scalable AI-enabled solutions.

The ideal candidate is someone who actively builds with AI, understands modern AI ecosystems deeply, and can convert AI capabilities into real-world production systems.

Key Responsibilities

Enterprise AI Platform Development

• Build and maintain internal AI platforms and services that enable teams across the organization to leverage AI capabilities

• Develop reusable AI APIs, SDKs, and microservices for enterprise adoption

• Integrate AI capabilities into existing systems, developer workflows, and business platforms

• Enable organization-wide adoption of AI-assisted workflows and automation

Agentic AI & Autonomous Systems

• Design and implement agent-based architectures capable of multi-step reasoning and task execution

• Build autonomous AI agents that interact with APIs, enterprise tools, and data systems

• Develop multi-agent systems capable of collaboration and workflow orchestration

• Implement tool-using agents that can dynamically select and use enterprise services

Examples may include:

• AI engineering assistants
• workflow automation agents
• data intelligence agents
• internal knowledge agents

AI Orchestration & Workflow Engines

• Design AI orchestration layers that coordinate models, tools, and workflows

• Build pipelines that manage:

o multi-step reasoning

o task decomposition

o tool execution

o memory and context management

• Work with orchestration frameworks such as:

o LangChain

o LlamaIndex

o CrewAI

o similar orchestration frameworks

• Enable structured interaction between LLMs, enterprise tools, APIs, and knowledge systems

LLM / SLM Systems

• Work with modern Large Language Models (LLMs) and Small Language Models (SLMs)

• Evaluate and select models based on:

o performance

o latency

o cost

o reliability

• Implement advanced techniques such as:

o prompt engineering

o prompt chaining

o context window management

o function calling

o tool invocation

Retrieval-Augmented Generation (RAG)

• Design and implement RAG architectures for enterprise knowledge retrieval

• Build pipelines that integrate LLMs with internal knowledge bases

• Optimize retrieval systems to improve contextual accuracy and response relevance

• Implement indexing pipelines and semantic retrieval strategies

Vector Databases & Knowledge Infrastructure

• Work with vector databases and embedding systems to enable semantic search

• Implement knowledge indexing pipelines using:

o Pinecone

o Weaviate

o Milvus

o Chroma

• Build scalable knowledge retrieval layers for AI applications

Machine Learning & AI Model Development

• Build ML pipelines using Python-based machine learning stacks

• Work with ML frameworks including:

o PyTorch

o TensorFlow

o Scikit-learn

o Hugging Face ecosystem

• Develop data pipelines, feature engineering workflows, and model training pipelines

• Evaluate model performance and experiment with different architectures

AI Infrastructure & Model Deployment

• Deploy AI workloads in cloud and containerized environments

• Build model inference pipelines and scalable AI services

• Work with infrastructure tools such as:

o Docker

o Kubernetes

o cloud AI platforms

• Implement monitoring, evaluation, and lifecycle management for AI systems

AI Development Environment & Tooling

• Work within AI-enabled development environments

• Leverage modern AI tooling including:

o VS Code AI ecosystem

o Copilot

o AI coding assistants

• Build internal tools that improve AI productivity across engineering teams

AI Safety, Guardrails & Evaluation

• Implement mechanisms to ensure safe and reliable AI outputs

• Build guardrails to reduce hallucinations and unsafe responses

• Develop AI evaluation frameworks and benchmarks

• Monitor AI system performance and continuously improve reliability

Join our DevOps Engineering team as a Senior Database Engineer to design, build, and engineer cloud-native database platforms across a modern, multi-engine data stack. This is an engineering role, not a DBA role, focused on building scalable systems, writing infrastructure-as-code, and embedding databases into software delivery pipelines.

You'll work closely with DevOps and Product Engineering to build high-performing data infrastructure that supports critical applications and analytics.  You will own and evolve a diverse ecosystem spanning AWS RDS, Aurora, DynamoDB, Redshift, Azure SQL, PostgreSQL, Snowflake, and NoSQL engines, integrating AI-driven automation and MLOps-ready data foundations to support critical applications and machine learning workflows.

Key Responsibilities

Multi-Engine Cloud Data Architecture & Platform Engineering

• Design, build, and engineer hybrid data solutions spanning relational (PostgreSQL, Aurora, RDS, Azure SQL), columnar (Redshift, Snowflake), and NoSQL (DynamoDB, DocumentDB, OpenSearch) engines — selecting the right engine per workload.
• Architect cloud-native data lakehouse platforms on AWS using S3, Lake Formation, Glue, and open formats (Apache Iceberg, Delta Lake, Parquet), with Azure Data Lake as a secondary target.
• Implement and manage Medallion Architecture (Bronze / Silver / Gold) patterns to support raw ingestion, curated analytics, and business-ready datasets.
• Build and optimize hybrid data platforms spanning operational databases (PostgreSQL / RDS / Aurora / DynamoDB) and analytical systems (Snowflake / Redshift).
• Develop and maintain semantic layers and analytics models to enable consistent, reusable metrics across BI, analytics, and AI use cases.
• Engineer efficient data models, ETL/ELT pipelines, and query performance tuning for analytical and transactional workloads.
• Engineer replication topologies, partitioning strategies, and data lifecycle automation as code — not manual DBA operations.
• Build automated schema migration pipelines (Flyway/Liquibase) and data versioning workflows integrated into CI/CD replacing manual schema change management.
• Design and implement API-first data access patterns, enabling engineering teams to interact with databases through well-defined, versioned interfaces rather than direct connection strings.

Advanced Data Pipelines, Streaming & Orchestration

• Engineer ELT/ETL pipelines using AWS-native services (Glue, Kinesis, MSK, Step Functions, EventBridge) and modern tooling (dbt, Airflow) for batch, micro-batch, and near-real-time workloads.
• Build streaming data pipelines using AWS Kinesis Data Streams, Kinesis Firehose, and MSK (Managed Kafka) for event-driven, low-latency ingestion across multiple database targets.
• Implement data quality checks, schema enforcement, lineage, and observability across pipelines.
• Optimize performance, cost, and scalability across ingestion, transformation, and consumption layers.
• Implement change data capture (CDC) using AWS DMS, Debezium, or native engine features to synchronize data across SQL, NoSQL, and analytical systems.

NoSQL & Document Store Engineering

• Design and optimize DynamoDB schemas using single-table design patterns, GSIs, LSIs, and DynamoDB Streams for event-driven architectures.
• Architect DocumentDB (MongoDB-compatible) clusters for document workloads requiring flexible schema and hierarchical data models.
• Build and manage OpenSearch / ElasticSearch clusters for full-text search, log analytics, and observability use cases.
• Evaluate and recommend the right NoSQL engine (DynamoDB vs DocumentDB vs OpenSearch vs ElastiCache) based on access patterns, latency, and cost profile.
• Implement TTL policies, DynamoDB Accelerator (DAX), and ElastiCache (Redis/Memcached) for high-throughput caching layers.

AI-Enabled Data Engineering & MLOps Foundations

• Apply AI and ML techniques to data architecture and operations, including intelligent data quality validation, anomaly detection, schema drift detection, and query workload pattern analysis — using AWS SageMaker and Amazon Bedrock.
• Design and build ML-ready data foundations: SageMaker Feature Store, training dataset pipelines, experiment tracking, and inference data pipelines using AWS-native MLOps services.
• Integrate LLM capabilities via Amazon Bedrock for AI-assisted data documentation, query generation, lineage summarization, and automated data cataloging.
• Implement vector database solutions (pgvector on Aurora/RDS, OpenSearch k-NN) to support AI similarity search and retrieval-augmented generation (RAG) use cases.
• Build AI-powered observability using ML-driven anomaly detection on pipeline metrics, query performance trends, and data quality SLAs.

Software Engineering, DevOps & Infrastructure as Code

• Build and manage all data infrastructure as code using Terraform and AWS CDK — covering RDS, Aurora, DynamoDB, Redshift, Glue, MSK, Kinesis, Snowflake, and supporting IAM/networking components.
• Integrate database changes into CI/CD pipelines (GitHub Actions, AWS CodePipeline) with automated schema testing, data contract validation, deployment, and rollback.
• Develop internal platform tooling using Python, SQL, and AWS SDK (boto3) — building self-service capabilities that allow engineers to provision governed database environments on demand.
• Implement database-as-code practices: automated schema migrations, snapshot/restore testing pipelines, and environment clone automation — eliminating manual DBA provisioning tasks.
• Build and publish internal data platform APIs and SDKs that abstract database complexity from application teams.

Security, Governance & Compliance Engineering

• Engineer enterprise-grade data governance across all engines: RBAC, column/row-level security, field-level encryption, dynamic data masking, and comprehensive audit logging, implemented as code, not manual configuration.
• Define and enforce data contracts and ownership using AWS Lake Formation, Glue Data Catalog, and Snowflake governance — versioned and managed in source control.
• Partner with Security and Compliance teams to ensure audit readiness and regulatory alignment (SOC 2, HIPAA, GDPR where applicable).
• Manage AWS IAM policies, KMS encryption, VPC security groups, and private endpoints (PrivateLink, VPC Endpoints) for least-privilege access and network isolation.
• Implement secrets management using AWS Secrets Manager and Parameter Store with automated credential rotation for all database engines.