Senior API Developer (Python & AWS)

Lichfield
3 weeks ago
Create job alert

Senior API Developer (Python & AWS) - Outside IR35 contract

API development with NetSuite integration

Must be open to travel to Lichfield around once per month

Working alongside a team of Data Engineers - must have knowledge to be able to collaborate. Big integration of Netsuite coming up (CRM & Financials)

Responsibilities

Working within an AGILE based team structure to plan and support definition, coding and deployment of Java, Java Script, Rest based APIs within an efficient and scalable software delivery pipeline to create domain data services within principles and practices of MACH
Identify, develop, document, deliver and modify high-performance APIs and programs using Java and Amazon Web Services (AWS)
Monitor API performance and promptly troubleshooting issues.
Participate in or lead functional, regression and load testing as defined in the test specifications, including event logging, and reporting of results.
Manipulate data, automate tasks and perform complex analysis using programming languages such as Python, R and SQL
Configure and manage a secure AWS infrastructure, including EC2, API gateways, containerisation technologies like Docker, orchestration tools such as Kubernetes and Relational Database services necessary to support a continuous integration/delivery environment, using principles and practices of infrastructure-as-code (IAC).Key Skills and Experience

Extensive Python development experience (Django framework)
Extensive experience with AWS native services such as Lambda, S3, API Gateway, SQS, SNS, CloudWatch, DMS, RDS and CloudFormation.
Strong proficiency in API integration, event-based architectures, microservices, and data products.
Comfortable working with AWS native CI/CD tools (e.g., AWS CodeCommit, CodeDeploy, etc.) and sprint management and documentation tools (e.g., Jira, Confluence).
Strong understanding of AWS networking, infrastructure and security.
Excellent verbal/written communication and teamwork skills suitable for a fast-paced, agile, and collaborative development environment.
Strong SQL knowledge and experience designing and managing data models.
Proficiency in AWS Glue and related AWS services to manage data pipelines, automate ETL workflows, and integrate datasets for reporting and dashboard creation.
Experience extracting and transforming complex data sets (ETL process design and administration).
Experience of integrating bespoke solutions with 3rd Party SaaS and PaaS services, e.g. Netsuite, Oracle Cloud, Boomi, etc.Please apply asap if interested

GleeIT

At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.

By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data

Related Jobs

View all jobs

Senior Software Developer

Senior Python Developer

AWS Backend Engineer (Inside IR35)

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Co-Founder / CTO Opportunity – AI Tech Recruitment Start-Up

Senior Backend Engineer - Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.